Commit
·
707adf3
1
Parent(s):
13c5c6f
First commit
Browse files- arabert-tweet-large/all_results.json +14 -0
- arabert-tweet-large/config.json +26 -0
- arabert-tweet-large/eval_results.json +9 -0
- arabert-tweet-large/pytorch_model.bin +3 -0
- arabert-tweet-large/runs/1631980876.2870846/events.out.tfevents.1631980876.Wissam-PC.17448.1 +3 -0
- arabert-tweet-large/runs/1632039503.4908214/events.out.tfevents.1632039503.Wissam-PC.23248.1 +3 -0
- arabert-tweet-large/runs/1632064111.915584/events.out.tfevents.1632064111.Wissam-PC.25020.1 +3 -0
- arabert-tweet-large/runs/1632080429.9502525/events.out.tfevents.1632080429.Wissam-PC.24792.1 +3 -0
- arabert-tweet-large/runs/events.out.tfevents.1631980876.Wissam-PC.17448.0 +3 -0
- arabert-tweet-large/runs/events.out.tfevents.1632039503.Wissam-PC.23248.0 +3 -0
- arabert-tweet-large/runs/events.out.tfevents.1632064111.Wissam-PC.25020.0 +3 -0
- arabert-tweet-large/runs/events.out.tfevents.1632080429.Wissam-PC.24792.0 +3 -0
- arabert-tweet-large/runs/events.out.tfevents.1632515635.Wissam-PC.24792.2 +3 -0
- arabert-tweet-large/special_tokens_map.json +1 -0
- arabert-tweet-large/tokenizer_config.json +1 -0
- arabert-tweet-large/train_results.json +8 -0
- arabert-tweet-large/trainer_state.json +3339 -0
- arabert-tweet-large/training_args.bin +3 -0
- arabert-tweet-large/vocab.txt +0 -0
arabert-tweet-large/all_results.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"eval_loss": 1.9246433973312378,
|
4 |
+
"eval_runtime": 282.1545,
|
5 |
+
"eval_samples": 100000,
|
6 |
+
"eval_samples_per_second": 354.416,
|
7 |
+
"eval_steps_per_second": 44.302,
|
8 |
+
"perplexity": 6.852704537407429,
|
9 |
+
"train_loss": 1.8196985500431868,
|
10 |
+
"train_runtime": 434920.5349,
|
11 |
+
"train_samples": 64750662,
|
12 |
+
"train_samples_per_second": 148.879,
|
13 |
+
"train_steps_per_second": 0.62
|
14 |
+
}
|
arabert-tweet-large/config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "models/bert-large-arabertv02",
|
3 |
+
"architectures": [
|
4 |
+
"BertForMaskedLM"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"classifier_dropout": null,
|
8 |
+
"gradient_checkpointing": false,
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.1,
|
11 |
+
"hidden_size": 1024,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"intermediate_size": 4096,
|
14 |
+
"layer_norm_eps": 1e-12,
|
15 |
+
"max_position_embeddings": 512,
|
16 |
+
"model_type": "bert",
|
17 |
+
"num_attention_heads": 16,
|
18 |
+
"num_hidden_layers": 24,
|
19 |
+
"pad_token_id": 0,
|
20 |
+
"position_embedding_type": "absolute",
|
21 |
+
"torch_dtype": "float32",
|
22 |
+
"transformers_version": "4.10.0",
|
23 |
+
"type_vocab_size": 2,
|
24 |
+
"use_cache": true,
|
25 |
+
"vocab_size": 64000
|
26 |
+
}
|
arabert-tweet-large/eval_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"eval_loss": 1.9246433973312378,
|
4 |
+
"eval_runtime": 282.1545,
|
5 |
+
"eval_samples": 100000,
|
6 |
+
"eval_samples_per_second": 354.416,
|
7 |
+
"eval_steps_per_second": 44.302,
|
8 |
+
"perplexity": 6.852704537407429
|
9 |
+
}
|
arabert-tweet-large/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fd509bec281aee5a6608353f2e7040ea9ae82620f6a66a0eeb5571d6b260e62a
|
3 |
+
size 1478119979
|
arabert-tweet-large/runs/1631980876.2870846/events.out.tfevents.1631980876.Wissam-PC.17448.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0413cde01ed45dfe53ff2fee63486996fc3f3d996f00535ef417da5ba402f48a
|
3 |
+
size 4156
|
arabert-tweet-large/runs/1632039503.4908214/events.out.tfevents.1632039503.Wissam-PC.23248.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ad35064440853a44fe959d6e1253045ede3931b1b82a32342a4c165d1bd34a1d
|
3 |
+
size 4156
|
arabert-tweet-large/runs/1632064111.915584/events.out.tfevents.1632064111.Wissam-PC.25020.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ce0c61d8a131295f2d444a0b176461cd145b07c379b9ca389860c7fb769a8a45
|
3 |
+
size 4156
|
arabert-tweet-large/runs/1632080429.9502525/events.out.tfevents.1632080429.Wissam-PC.24792.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f135c1d7b0aa38b2ee0ebe780115b89cfafc7c3f1d44f6b50e6df70dacde508b
|
3 |
+
size 4156
|
arabert-tweet-large/runs/events.out.tfevents.1631980876.Wissam-PC.17448.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f1df2add2d772c948614e701573a925440fa872f2d0406ff2b0bfcc1d16eedff
|
3 |
+
size 19545
|
arabert-tweet-large/runs/events.out.tfevents.1632039503.Wissam-PC.23248.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7b21b03829c0b975aea497deb2171c6b1f1162306f8ab311e0e8fc75dca389a2
|
3 |
+
size 8049
|
arabert-tweet-large/runs/events.out.tfevents.1632064111.Wissam-PC.25020.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:26eae1eca59833cbf67a0b8b6be8305d54f34cb90403fdf0bd1dd25f8f91a337
|
3 |
+
size 5329
|
arabert-tweet-large/runs/events.out.tfevents.1632080429.Wissam-PC.24792.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:84183a9198eeea54d8a68b760c7558b751fa3f65652c2832eeee27462ce4b9fd
|
3 |
+
size 75739
|
arabert-tweet-large/runs/events.out.tfevents.1632515635.Wissam-PC.24792.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c3da0407971c13552b5f0defdb5446d2cb5a35030718e7b8e0a40fae9b36f7fd
|
3 |
+
size 316
|
arabert-tweet-large/special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
|
arabert-tweet-large/tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"do_lower_case": false, "do_basic_tokenize": true, "never_split": ["[بريد]", "[مستخدم]", "[رابط]"], "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "max_len": 512, "special_tokens_map_file": null, "name_or_path": "models/bert-large-arabertv02", "use_fast": true, "tokenizer_file": null, "tokenizer_class": "BertTokenizer"}
|
arabert-tweet-large/train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"train_loss": 1.8196985500431868,
|
4 |
+
"train_runtime": 434920.5349,
|
5 |
+
"train_samples": 64750662,
|
6 |
+
"train_samples_per_second": 148.879,
|
7 |
+
"train_steps_per_second": 0.62
|
8 |
+
}
|
arabert-tweet-large/trainer_state.json
ADDED
@@ -0,0 +1,3339 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.9999981467376096,
|
5 |
+
"global_step": 269794,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.0,
|
12 |
+
"learning_rate": 1.446997776130467e-06,
|
13 |
+
"loss": 4.2339,
|
14 |
+
"step": 500
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.0,
|
18 |
+
"learning_rate": 2.9295774647887324e-06,
|
19 |
+
"loss": 3.743,
|
20 |
+
"step": 1000
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.0,
|
24 |
+
"learning_rate": 4.4121571534469985e-06,
|
25 |
+
"loss": 3.5488,
|
26 |
+
"step": 1500
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.01,
|
30 |
+
"learning_rate": 5.8947368421052634e-06,
|
31 |
+
"loss": 3.441,
|
32 |
+
"step": 2000
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.01,
|
36 |
+
"learning_rate": 7.377316530763528e-06,
|
37 |
+
"loss": 3.3861,
|
38 |
+
"step": 2500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.01,
|
42 |
+
"learning_rate": 8.859896219421795e-06,
|
43 |
+
"loss": 3.3338,
|
44 |
+
"step": 3000
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.01,
|
48 |
+
"learning_rate": 1.034247590808006e-05,
|
49 |
+
"loss": 3.2739,
|
50 |
+
"step": 3500
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.01,
|
54 |
+
"learning_rate": 1.1825055596738326e-05,
|
55 |
+
"loss": 3.2384,
|
56 |
+
"step": 4000
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.01,
|
60 |
+
"learning_rate": 1.3307635285396591e-05,
|
61 |
+
"loss": 3.1955,
|
62 |
+
"step": 4500
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.01,
|
66 |
+
"learning_rate": 1.4790214974054856e-05,
|
67 |
+
"loss": 3.1733,
|
68 |
+
"step": 5000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.02,
|
72 |
+
"learning_rate": 1.6272794662713124e-05,
|
73 |
+
"loss": 3.1648,
|
74 |
+
"step": 5500
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.02,
|
78 |
+
"learning_rate": 1.7755374351371386e-05,
|
79 |
+
"loss": 3.1262,
|
80 |
+
"step": 6000
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.02,
|
84 |
+
"learning_rate": 1.923795404002965e-05,
|
85 |
+
"loss": 3.112,
|
86 |
+
"step": 6500
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.02,
|
90 |
+
"learning_rate": 2.072053372868792e-05,
|
91 |
+
"loss": 3.0858,
|
92 |
+
"step": 7000
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.02,
|
96 |
+
"learning_rate": 2.2203113417346184e-05,
|
97 |
+
"loss": 3.0709,
|
98 |
+
"step": 7500
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.02,
|
102 |
+
"learning_rate": 2.368569310600445e-05,
|
103 |
+
"loss": 3.0446,
|
104 |
+
"step": 8000
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.03,
|
108 |
+
"learning_rate": 2.516827279466271e-05,
|
109 |
+
"loss": 3.0337,
|
110 |
+
"step": 8500
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.03,
|
114 |
+
"learning_rate": 2.6650852483320982e-05,
|
115 |
+
"loss": 3.0176,
|
116 |
+
"step": 9000
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.03,
|
120 |
+
"learning_rate": 2.8133432171979247e-05,
|
121 |
+
"loss": 2.9892,
|
122 |
+
"step": 9500
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.03,
|
126 |
+
"learning_rate": 2.9613046701260195e-05,
|
127 |
+
"loss": 2.9966,
|
128 |
+
"step": 10000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.03,
|
132 |
+
"learning_rate": 3.1095626389918456e-05,
|
133 |
+
"loss": 2.9685,
|
134 |
+
"step": 10500
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.03,
|
138 |
+
"learning_rate": 3.257820607857672e-05,
|
139 |
+
"loss": 2.9461,
|
140 |
+
"step": 11000
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.03,
|
144 |
+
"learning_rate": 3.406078576723499e-05,
|
145 |
+
"loss": 2.9472,
|
146 |
+
"step": 11500
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.04,
|
150 |
+
"learning_rate": 3.554336545589326e-05,
|
151 |
+
"loss": 2.9346,
|
152 |
+
"step": 12000
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.04,
|
156 |
+
"learning_rate": 3.7022979985174206e-05,
|
157 |
+
"loss": 2.9418,
|
158 |
+
"step": 12500
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.04,
|
162 |
+
"learning_rate": 3.850555967383247e-05,
|
163 |
+
"loss": 2.9088,
|
164 |
+
"step": 13000
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.04,
|
168 |
+
"learning_rate": 3.9988139362490736e-05,
|
169 |
+
"loss": 2.8908,
|
170 |
+
"step": 13500
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.04,
|
174 |
+
"learning_rate": 4.147071905114901e-05,
|
175 |
+
"loss": 2.8886,
|
176 |
+
"step": 14000
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.04,
|
180 |
+
"learning_rate": 4.2953298739807265e-05,
|
181 |
+
"loss": 2.8681,
|
182 |
+
"step": 14500
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.04,
|
186 |
+
"learning_rate": 4.4432913269088213e-05,
|
187 |
+
"loss": 2.8626,
|
188 |
+
"step": 15000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.05,
|
192 |
+
"learning_rate": 4.591549295774648e-05,
|
193 |
+
"loss": 2.8519,
|
194 |
+
"step": 15500
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.05,
|
198 |
+
"learning_rate": 4.739807264640474e-05,
|
199 |
+
"loss": 2.8402,
|
200 |
+
"step": 16000
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.05,
|
204 |
+
"learning_rate": 4.888065233506301e-05,
|
205 |
+
"loss": 2.8259,
|
206 |
+
"step": 16500
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.05,
|
210 |
+
"learning_rate": 5.036323202372127e-05,
|
211 |
+
"loss": 2.836,
|
212 |
+
"step": 17000
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.05,
|
216 |
+
"learning_rate": 5.1845811712379545e-05,
|
217 |
+
"loss": 2.8166,
|
218 |
+
"step": 17500
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.05,
|
222 |
+
"learning_rate": 5.3328391401037816e-05,
|
223 |
+
"loss": 2.796,
|
224 |
+
"step": 18000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.05,
|
228 |
+
"learning_rate": 5.4810971089696074e-05,
|
229 |
+
"loss": 2.7931,
|
230 |
+
"step": 18500
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.06,
|
234 |
+
"learning_rate": 5.629058561897702e-05,
|
235 |
+
"loss": 2.7947,
|
236 |
+
"step": 19000
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.06,
|
240 |
+
"learning_rate": 5.777020014825797e-05,
|
241 |
+
"loss": 2.7701,
|
242 |
+
"step": 19500
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.06,
|
246 |
+
"learning_rate": 5.925277983691624e-05,
|
247 |
+
"loss": 2.7674,
|
248 |
+
"step": 20000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.06,
|
252 |
+
"learning_rate": 6.07353595255745e-05,
|
253 |
+
"loss": 2.7625,
|
254 |
+
"step": 20500
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.06,
|
258 |
+
"learning_rate": 6.221793921423277e-05,
|
259 |
+
"loss": 2.754,
|
260 |
+
"step": 21000
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.06,
|
264 |
+
"learning_rate": 6.370051890289104e-05,
|
265 |
+
"loss": 2.7621,
|
266 |
+
"step": 21500
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.07,
|
270 |
+
"learning_rate": 6.51830985915493e-05,
|
271 |
+
"loss": 2.7329,
|
272 |
+
"step": 22000
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.07,
|
276 |
+
"learning_rate": 6.666567828020757e-05,
|
277 |
+
"loss": 2.7392,
|
278 |
+
"step": 22500
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.07,
|
282 |
+
"learning_rate": 6.814825796886583e-05,
|
283 |
+
"loss": 2.7446,
|
284 |
+
"step": 23000
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.07,
|
288 |
+
"learning_rate": 6.96308376575241e-05,
|
289 |
+
"loss": 2.7346,
|
290 |
+
"step": 23500
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.07,
|
294 |
+
"learning_rate": 7.111341734618236e-05,
|
295 |
+
"loss": 2.7246,
|
296 |
+
"step": 24000
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.07,
|
300 |
+
"learning_rate": 7.259599703484063e-05,
|
301 |
+
"loss": 2.7393,
|
302 |
+
"step": 24500
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.07,
|
306 |
+
"learning_rate": 7.407857672349889e-05,
|
307 |
+
"loss": 2.7271,
|
308 |
+
"step": 25000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 0.07,
|
312 |
+
"eval_loss": 2.5492873191833496,
|
313 |
+
"eval_runtime": 278.1602,
|
314 |
+
"eval_samples_per_second": 359.505,
|
315 |
+
"eval_steps_per_second": 44.938,
|
316 |
+
"step": 25000
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 0.08,
|
320 |
+
"learning_rate": 7.556115641215716e-05,
|
321 |
+
"loss": 2.7127,
|
322 |
+
"step": 25500
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"epoch": 0.08,
|
326 |
+
"learning_rate": 7.704373610081542e-05,
|
327 |
+
"loss": 2.713,
|
328 |
+
"step": 26000
|
329 |
+
},
|
330 |
+
{
|
331 |
+
"epoch": 0.08,
|
332 |
+
"learning_rate": 7.852631578947369e-05,
|
333 |
+
"loss": 2.7002,
|
334 |
+
"step": 26500
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"epoch": 0.08,
|
338 |
+
"learning_rate": 8.000593031875464e-05,
|
339 |
+
"loss": 2.7042,
|
340 |
+
"step": 27000
|
341 |
+
},
|
342 |
+
{
|
343 |
+
"epoch": 0.08,
|
344 |
+
"learning_rate": 8.14885100074129e-05,
|
345 |
+
"loss": 2.7054,
|
346 |
+
"step": 27500
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 0.08,
|
350 |
+
"learning_rate": 8.297108969607117e-05,
|
351 |
+
"loss": 2.6925,
|
352 |
+
"step": 28000
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.08,
|
356 |
+
"learning_rate": 8.445366938472942e-05,
|
357 |
+
"loss": 2.6927,
|
358 |
+
"step": 28500
|
359 |
+
},
|
360 |
+
{
|
361 |
+
"epoch": 0.09,
|
362 |
+
"learning_rate": 8.59362490733877e-05,
|
363 |
+
"loss": 2.6843,
|
364 |
+
"step": 29000
|
365 |
+
},
|
366 |
+
{
|
367 |
+
"epoch": 0.09,
|
368 |
+
"learning_rate": 8.741882876204596e-05,
|
369 |
+
"loss": 2.6848,
|
370 |
+
"step": 29500
|
371 |
+
},
|
372 |
+
{
|
373 |
+
"epoch": 0.09,
|
374 |
+
"learning_rate": 8.890140845070423e-05,
|
375 |
+
"loss": 2.6851,
|
376 |
+
"step": 30000
|
377 |
+
},
|
378 |
+
{
|
379 |
+
"epoch": 0.09,
|
380 |
+
"learning_rate": 9.03839881393625e-05,
|
381 |
+
"loss": 2.676,
|
382 |
+
"step": 30500
|
383 |
+
},
|
384 |
+
{
|
385 |
+
"epoch": 0.09,
|
386 |
+
"learning_rate": 9.186656782802076e-05,
|
387 |
+
"loss": 2.6811,
|
388 |
+
"step": 31000
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.09,
|
392 |
+
"learning_rate": 9.334914751667902e-05,
|
393 |
+
"loss": 2.6687,
|
394 |
+
"step": 31500
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.09,
|
398 |
+
"learning_rate": 9.483172720533729e-05,
|
399 |
+
"loss": 2.6751,
|
400 |
+
"step": 32000
|
401 |
+
},
|
402 |
+
{
|
403 |
+
"epoch": 0.1,
|
404 |
+
"learning_rate": 9.631430689399555e-05,
|
405 |
+
"loss": 2.6746,
|
406 |
+
"step": 32500
|
407 |
+
},
|
408 |
+
{
|
409 |
+
"epoch": 0.1,
|
410 |
+
"learning_rate": 9.779688658265382e-05,
|
411 |
+
"loss": 2.6662,
|
412 |
+
"step": 33000
|
413 |
+
},
|
414 |
+
{
|
415 |
+
"epoch": 0.1,
|
416 |
+
"learning_rate": 9.927946627131208e-05,
|
417 |
+
"loss": 2.6685,
|
418 |
+
"step": 33500
|
419 |
+
},
|
420 |
+
{
|
421 |
+
"epoch": 0.1,
|
422 |
+
"learning_rate": 9.999982309633072e-05,
|
423 |
+
"loss": 2.6702,
|
424 |
+
"step": 34000
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 0.1,
|
428 |
+
"learning_rate": 9.999846516961786e-05,
|
429 |
+
"loss": 2.6692,
|
430 |
+
"step": 34500
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 0.1,
|
434 |
+
"learning_rate": 9.999577483170183e-05,
|
435 |
+
"loss": 2.6732,
|
436 |
+
"step": 35000
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.11,
|
440 |
+
"learning_rate": 9.9991750774992e-05,
|
441 |
+
"loss": 2.6676,
|
442 |
+
"step": 35500
|
443 |
+
},
|
444 |
+
{
|
445 |
+
"epoch": 0.11,
|
446 |
+
"learning_rate": 9.998638103115459e-05,
|
447 |
+
"loss": 2.65,
|
448 |
+
"step": 36000
|
449 |
+
},
|
450 |
+
{
|
451 |
+
"epoch": 0.11,
|
452 |
+
"learning_rate": 9.997967246921306e-05,
|
453 |
+
"loss": 2.6493,
|
454 |
+
"step": 36500
|
455 |
+
},
|
456 |
+
{
|
457 |
+
"epoch": 0.11,
|
458 |
+
"learning_rate": 9.997162526884725e-05,
|
459 |
+
"loss": 2.657,
|
460 |
+
"step": 37000
|
461 |
+
},
|
462 |
+
{
|
463 |
+
"epoch": 0.11,
|
464 |
+
"learning_rate": 9.996223964559059e-05,
|
465 |
+
"loss": 2.6521,
|
466 |
+
"step": 37500
|
467 |
+
},
|
468 |
+
{
|
469 |
+
"epoch": 0.11,
|
470 |
+
"learning_rate": 9.995151585082442e-05,
|
471 |
+
"loss": 2.6412,
|
472 |
+
"step": 38000
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 0.11,
|
476 |
+
"learning_rate": 9.993947963012904e-05,
|
477 |
+
"loss": 2.6418,
|
478 |
+
"step": 38500
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.12,
|
482 |
+
"learning_rate": 9.992608306462086e-05,
|
483 |
+
"loss": 2.6442,
|
484 |
+
"step": 39000
|
485 |
+
},
|
486 |
+
{
|
487 |
+
"epoch": 0.12,
|
488 |
+
"learning_rate": 9.991134929600863e-05,
|
489 |
+
"loss": 2.6362,
|
490 |
+
"step": 39500
|
491 |
+
},
|
492 |
+
{
|
493 |
+
"epoch": 0.12,
|
494 |
+
"learning_rate": 9.989527871891659e-05,
|
495 |
+
"loss": 2.6354,
|
496 |
+
"step": 40000
|
497 |
+
},
|
498 |
+
{
|
499 |
+
"epoch": 0.12,
|
500 |
+
"learning_rate": 9.987787176377355e-05,
|
501 |
+
"loss": 2.6167,
|
502 |
+
"step": 40500
|
503 |
+
},
|
504 |
+
{
|
505 |
+
"epoch": 0.12,
|
506 |
+
"learning_rate": 9.985912889680143e-05,
|
507 |
+
"loss": 2.6316,
|
508 |
+
"step": 41000
|
509 |
+
},
|
510 |
+
{
|
511 |
+
"epoch": 0.12,
|
512 |
+
"learning_rate": 9.983905062000275e-05,
|
513 |
+
"loss": 2.6355,
|
514 |
+
"step": 41500
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 0.12,
|
518 |
+
"learning_rate": 9.981763747114724e-05,
|
519 |
+
"loss": 2.6183,
|
520 |
+
"step": 42000
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.13,
|
524 |
+
"learning_rate": 9.979493684988302e-05,
|
525 |
+
"loss": 2.6111,
|
526 |
+
"step": 42500
|
527 |
+
},
|
528 |
+
{
|
529 |
+
"epoch": 0.13,
|
530 |
+
"learning_rate": 9.977085837996527e-05,
|
531 |
+
"loss": 2.6053,
|
532 |
+
"step": 43000
|
533 |
+
},
|
534 |
+
{
|
535 |
+
"epoch": 0.13,
|
536 |
+
"learning_rate": 9.97454990173924e-05,
|
537 |
+
"loss": 2.6019,
|
538 |
+
"step": 43500
|
539 |
+
},
|
540 |
+
{
|
541 |
+
"epoch": 0.13,
|
542 |
+
"learning_rate": 9.971875780087649e-05,
|
543 |
+
"loss": 2.6166,
|
544 |
+
"step": 44000
|
545 |
+
},
|
546 |
+
{
|
547 |
+
"epoch": 0.13,
|
548 |
+
"learning_rate": 9.969074240841182e-05,
|
549 |
+
"loss": 2.6378,
|
550 |
+
"step": 44500
|
551 |
+
},
|
552 |
+
{
|
553 |
+
"epoch": 0.13,
|
554 |
+
"learning_rate": 9.966134130446202e-05,
|
555 |
+
"loss": 2.6069,
|
556 |
+
"step": 45000
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 0.13,
|
560 |
+
"learning_rate": 9.963067287750436e-05,
|
561 |
+
"loss": 2.6201,
|
562 |
+
"step": 45500
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.14,
|
566 |
+
"learning_rate": 9.959861502967945e-05,
|
567 |
+
"loss": 2.5973,
|
568 |
+
"step": 46000
|
569 |
+
},
|
570 |
+
{
|
571 |
+
"epoch": 0.14,
|
572 |
+
"learning_rate": 9.956522874954218e-05,
|
573 |
+
"loss": 2.5926,
|
574 |
+
"step": 46500
|
575 |
+
},
|
576 |
+
{
|
577 |
+
"epoch": 0.14,
|
578 |
+
"learning_rate": 9.95305149312992e-05,
|
579 |
+
"loss": 2.5856,
|
580 |
+
"step": 47000
|
581 |
+
},
|
582 |
+
{
|
583 |
+
"epoch": 0.14,
|
584 |
+
"learning_rate": 9.949447450471355e-05,
|
585 |
+
"loss": 2.5929,
|
586 |
+
"step": 47500
|
587 |
+
},
|
588 |
+
{
|
589 |
+
"epoch": 0.14,
|
590 |
+
"learning_rate": 9.945710843507967e-05,
|
591 |
+
"loss": 2.5851,
|
592 |
+
"step": 48000
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 0.14,
|
596 |
+
"learning_rate": 9.94184964259314e-05,
|
597 |
+
"loss": 2.5704,
|
598 |
+
"step": 48500
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 0.15,
|
602 |
+
"learning_rate": 9.9378484754234e-05,
|
603 |
+
"loss": 2.5823,
|
604 |
+
"step": 49000
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.15,
|
608 |
+
"learning_rate": 9.933715054611808e-05,
|
609 |
+
"loss": 2.5716,
|
610 |
+
"step": 49500
|
611 |
+
},
|
612 |
+
{
|
613 |
+
"epoch": 0.15,
|
614 |
+
"learning_rate": 9.929458153797284e-05,
|
615 |
+
"loss": 2.6217,
|
616 |
+
"step": 50000
|
617 |
+
},
|
618 |
+
{
|
619 |
+
"epoch": 0.15,
|
620 |
+
"eval_loss": 2.431061267852783,
|
621 |
+
"eval_runtime": 279.1709,
|
622 |
+
"eval_samples_per_second": 358.204,
|
623 |
+
"eval_steps_per_second": 44.775,
|
624 |
+
"step": 50000
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 0.19,
|
628 |
+
"learning_rate": 9.77079560136976e-05,
|
629 |
+
"loss": 2.5993,
|
630 |
+
"step": 50500
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 0.19,
|
634 |
+
"learning_rate": 9.76101478820416e-05,
|
635 |
+
"loss": 2.5537,
|
636 |
+
"step": 51000
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 0.19,
|
640 |
+
"learning_rate": 9.751034728712014e-05,
|
641 |
+
"loss": 2.5581,
|
642 |
+
"step": 51500
|
643 |
+
},
|
644 |
+
{
|
645 |
+
"epoch": 0.19,
|
646 |
+
"learning_rate": 9.740855840554321e-05,
|
647 |
+
"loss": 2.6137,
|
648 |
+
"step": 52000
|
649 |
+
},
|
650 |
+
{
|
651 |
+
"epoch": 0.19,
|
652 |
+
"learning_rate": 9.730478549712973e-05,
|
653 |
+
"loss": 2.5886,
|
654 |
+
"step": 52500
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 0.2,
|
658 |
+
"learning_rate": 9.719903290472921e-05,
|
659 |
+
"loss": 2.5534,
|
660 |
+
"step": 53000
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.2,
|
664 |
+
"learning_rate": 9.709130505404002e-05,
|
665 |
+
"loss": 2.5475,
|
666 |
+
"step": 53500
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 0.2,
|
670 |
+
"learning_rate": 9.698160645342426e-05,
|
671 |
+
"loss": 2.5613,
|
672 |
+
"step": 54000
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 0.2,
|
676 |
+
"learning_rate": 9.686994169371903e-05,
|
677 |
+
"loss": 2.5487,
|
678 |
+
"step": 54500
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 0.2,
|
682 |
+
"learning_rate": 9.675631544804424e-05,
|
683 |
+
"loss": 2.5659,
|
684 |
+
"step": 55000
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 0.21,
|
688 |
+
"learning_rate": 9.664073247160717e-05,
|
689 |
+
"loss": 2.5319,
|
690 |
+
"step": 55500
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 0.21,
|
694 |
+
"learning_rate": 9.652319760150334e-05,
|
695 |
+
"loss": 2.5536,
|
696 |
+
"step": 56000
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 0.21,
|
700 |
+
"learning_rate": 9.640371575651422e-05,
|
701 |
+
"loss": 2.53,
|
702 |
+
"step": 56500
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.21,
|
706 |
+
"learning_rate": 9.628229193690122e-05,
|
707 |
+
"loss": 2.524,
|
708 |
+
"step": 57000
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 0.21,
|
712 |
+
"learning_rate": 9.615893122419657e-05,
|
713 |
+
"loss": 2.5219,
|
714 |
+
"step": 57500
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 0.21,
|
718 |
+
"learning_rate": 9.60336387809906e-05,
|
719 |
+
"loss": 2.51,
|
720 |
+
"step": 58000
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 0.22,
|
724 |
+
"learning_rate": 9.590641985071566e-05,
|
725 |
+
"loss": 2.5131,
|
726 |
+
"step": 58500
|
727 |
+
},
|
728 |
+
{
|
729 |
+
"epoch": 0.22,
|
730 |
+
"learning_rate": 9.577727975742674e-05,
|
731 |
+
"loss": 2.506,
|
732 |
+
"step": 59000
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 0.22,
|
736 |
+
"learning_rate": 9.564622390557863e-05,
|
737 |
+
"loss": 2.5086,
|
738 |
+
"step": 59500
|
739 |
+
},
|
740 |
+
{
|
741 |
+
"epoch": 0.22,
|
742 |
+
"learning_rate": 9.551325777979978e-05,
|
743 |
+
"loss": 2.4997,
|
744 |
+
"step": 60000
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.22,
|
748 |
+
"learning_rate": 9.53783869446627e-05,
|
749 |
+
"loss": 2.4888,
|
750 |
+
"step": 60500
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"epoch": 0.23,
|
754 |
+
"learning_rate": 9.524161704445116e-05,
|
755 |
+
"loss": 2.4952,
|
756 |
+
"step": 61000
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 0.23,
|
760 |
+
"learning_rate": 9.510295380292393e-05,
|
761 |
+
"loss": 2.4868,
|
762 |
+
"step": 61500
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 0.23,
|
766 |
+
"learning_rate": 9.496240302307531e-05,
|
767 |
+
"loss": 2.4906,
|
768 |
+
"step": 62000
|
769 |
+
},
|
770 |
+
{
|
771 |
+
"epoch": 0.23,
|
772 |
+
"learning_rate": 9.481997058689214e-05,
|
773 |
+
"loss": 2.4815,
|
774 |
+
"step": 62500
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 0.23,
|
778 |
+
"learning_rate": 9.467566245510782e-05,
|
779 |
+
"loss": 2.4772,
|
780 |
+
"step": 63000
|
781 |
+
},
|
782 |
+
{
|
783 |
+
"epoch": 0.24,
|
784 |
+
"learning_rate": 9.45294846669527e-05,
|
785 |
+
"loss": 2.4919,
|
786 |
+
"step": 63500
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.24,
|
790 |
+
"learning_rate": 9.438144333990148e-05,
|
791 |
+
"loss": 2.4889,
|
792 |
+
"step": 64000
|
793 |
+
},
|
794 |
+
{
|
795 |
+
"epoch": 0.24,
|
796 |
+
"learning_rate": 9.423154466941704e-05,
|
797 |
+
"loss": 2.4811,
|
798 |
+
"step": 64500
|
799 |
+
},
|
800 |
+
{
|
801 |
+
"epoch": 0.24,
|
802 |
+
"learning_rate": 9.407979492869132e-05,
|
803 |
+
"loss": 2.4721,
|
804 |
+
"step": 65000
|
805 |
+
},
|
806 |
+
{
|
807 |
+
"epoch": 0.24,
|
808 |
+
"learning_rate": 9.392620046838267e-05,
|
809 |
+
"loss": 2.4696,
|
810 |
+
"step": 65500
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 0.24,
|
814 |
+
"learning_rate": 9.377076771635013e-05,
|
815 |
+
"loss": 2.4739,
|
816 |
+
"step": 66000
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 0.25,
|
820 |
+
"learning_rate": 9.361350317738446e-05,
|
821 |
+
"loss": 2.4704,
|
822 |
+
"step": 66500
|
823 |
+
},
|
824 |
+
{
|
825 |
+
"epoch": 0.25,
|
826 |
+
"learning_rate": 9.345441343293581e-05,
|
827 |
+
"loss": 2.4727,
|
828 |
+
"step": 67000
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.25,
|
832 |
+
"learning_rate": 9.329350514083845e-05,
|
833 |
+
"loss": 2.4649,
|
834 |
+
"step": 67500
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 0.25,
|
838 |
+
"learning_rate": 9.313078503503196e-05,
|
839 |
+
"loss": 2.4619,
|
840 |
+
"step": 68000
|
841 |
+
},
|
842 |
+
{
|
843 |
+
"epoch": 0.25,
|
844 |
+
"learning_rate": 9.296625992527957e-05,
|
845 |
+
"loss": 2.4577,
|
846 |
+
"step": 68500
|
847 |
+
},
|
848 |
+
{
|
849 |
+
"epoch": 0.26,
|
850 |
+
"learning_rate": 9.279993669688308e-05,
|
851 |
+
"loss": 2.46,
|
852 |
+
"step": 69000
|
853 |
+
},
|
854 |
+
{
|
855 |
+
"epoch": 0.26,
|
856 |
+
"learning_rate": 9.263182231039476e-05,
|
857 |
+
"loss": 2.4562,
|
858 |
+
"step": 69500
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 0.26,
|
862 |
+
"learning_rate": 9.246192380132604e-05,
|
863 |
+
"loss": 2.4431,
|
864 |
+
"step": 70000
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 0.26,
|
868 |
+
"learning_rate": 9.229024827985306e-05,
|
869 |
+
"loss": 2.4523,
|
870 |
+
"step": 70500
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.26,
|
874 |
+
"learning_rate": 9.211680293051915e-05,
|
875 |
+
"loss": 2.4558,
|
876 |
+
"step": 71000
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 0.27,
|
880 |
+
"learning_rate": 9.194159501193414e-05,
|
881 |
+
"loss": 2.4508,
|
882 |
+
"step": 71500
|
883 |
+
},
|
884 |
+
{
|
885 |
+
"epoch": 0.27,
|
886 |
+
"learning_rate": 9.17646318564706e-05,
|
887 |
+
"loss": 2.4526,
|
888 |
+
"step": 72000
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 0.27,
|
892 |
+
"learning_rate": 9.158592086995692e-05,
|
893 |
+
"loss": 2.4455,
|
894 |
+
"step": 72500
|
895 |
+
},
|
896 |
+
{
|
897 |
+
"epoch": 0.27,
|
898 |
+
"learning_rate": 9.140546953136748e-05,
|
899 |
+
"loss": 2.4423,
|
900 |
+
"step": 73000
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 0.27,
|
904 |
+
"learning_rate": 9.122328539250962e-05,
|
905 |
+
"loss": 2.4291,
|
906 |
+
"step": 73500
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 0.27,
|
910 |
+
"learning_rate": 9.103937607770756e-05,
|
911 |
+
"loss": 2.4521,
|
912 |
+
"step": 74000
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.28,
|
916 |
+
"learning_rate": 9.085374928348338e-05,
|
917 |
+
"loss": 2.4427,
|
918 |
+
"step": 74500
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 0.28,
|
922 |
+
"learning_rate": 9.066641277823487e-05,
|
923 |
+
"loss": 2.4378,
|
924 |
+
"step": 75000
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 0.28,
|
928 |
+
"eval_loss": 2.274932622909546,
|
929 |
+
"eval_runtime": 278.4521,
|
930 |
+
"eval_samples_per_second": 359.128,
|
931 |
+
"eval_steps_per_second": 44.891,
|
932 |
+
"step": 75000
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 0.28,
|
936 |
+
"learning_rate": 9.047737440191048e-05,
|
937 |
+
"loss": 2.4375,
|
938 |
+
"step": 75500
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 0.28,
|
942 |
+
"learning_rate": 9.028664206568123e-05,
|
943 |
+
"loss": 2.4262,
|
944 |
+
"step": 76000
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 0.28,
|
948 |
+
"learning_rate": 9.009422375160955e-05,
|
949 |
+
"loss": 2.4342,
|
950 |
+
"step": 76500
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 0.29,
|
954 |
+
"learning_rate": 8.990012751231527e-05,
|
955 |
+
"loss": 2.427,
|
956 |
+
"step": 77000
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 0.29,
|
960 |
+
"learning_rate": 8.970436147063869e-05,
|
961 |
+
"loss": 2.419,
|
962 |
+
"step": 77500
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 0.29,
|
966 |
+
"learning_rate": 8.950693381930058e-05,
|
967 |
+
"loss": 2.4241,
|
968 |
+
"step": 78000
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.29,
|
972 |
+
"learning_rate": 8.930785282055928e-05,
|
973 |
+
"loss": 2.4192,
|
974 |
+
"step": 78500
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 0.29,
|
978 |
+
"learning_rate": 8.910712680586502e-05,
|
979 |
+
"loss": 2.4179,
|
980 |
+
"step": 79000
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 0.29,
|
984 |
+
"learning_rate": 8.890476417551119e-05,
|
985 |
+
"loss": 2.4176,
|
986 |
+
"step": 79500
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 0.3,
|
990 |
+
"learning_rate": 8.870077339828284e-05,
|
991 |
+
"loss": 2.4179,
|
992 |
+
"step": 80000
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 0.3,
|
996 |
+
"learning_rate": 8.849516301110216e-05,
|
997 |
+
"loss": 2.418,
|
998 |
+
"step": 80500
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 0.3,
|
1002 |
+
"learning_rate": 8.828794161867136e-05,
|
1003 |
+
"loss": 2.4116,
|
1004 |
+
"step": 81000
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 0.3,
|
1008 |
+
"learning_rate": 8.807911789311245e-05,
|
1009 |
+
"loss": 2.4114,
|
1010 |
+
"step": 81500
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.3,
|
1014 |
+
"learning_rate": 8.786870057360441e-05,
|
1015 |
+
"loss": 2.4091,
|
1016 |
+
"step": 82000
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 0.31,
|
1020 |
+
"learning_rate": 8.765669846601735e-05,
|
1021 |
+
"loss": 2.4125,
|
1022 |
+
"step": 82500
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 0.31,
|
1026 |
+
"learning_rate": 8.744312044254409e-05,
|
1027 |
+
"loss": 2.4115,
|
1028 |
+
"step": 83000
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 0.31,
|
1032 |
+
"learning_rate": 8.722797544132881e-05,
|
1033 |
+
"loss": 2.4195,
|
1034 |
+
"step": 83500
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 0.31,
|
1038 |
+
"learning_rate": 8.701127246609299e-05,
|
1039 |
+
"loss": 2.4048,
|
1040 |
+
"step": 84000
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 0.31,
|
1044 |
+
"learning_rate": 8.679302058575865e-05,
|
1045 |
+
"loss": 2.4075,
|
1046 |
+
"step": 84500
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 0.32,
|
1050 |
+
"learning_rate": 8.657322893406876e-05,
|
1051 |
+
"loss": 2.3983,
|
1052 |
+
"step": 85000
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.32,
|
1056 |
+
"learning_rate": 8.635190670920503e-05,
|
1057 |
+
"loss": 2.3999,
|
1058 |
+
"step": 85500
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 0.32,
|
1062 |
+
"learning_rate": 8.6129063173403e-05,
|
1063 |
+
"loss": 2.4055,
|
1064 |
+
"step": 86000
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 0.32,
|
1068 |
+
"learning_rate": 8.590470765256439e-05,
|
1069 |
+
"loss": 2.3899,
|
1070 |
+
"step": 86500
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 0.32,
|
1074 |
+
"learning_rate": 8.567884953586675e-05,
|
1075 |
+
"loss": 2.3935,
|
1076 |
+
"step": 87000
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 0.32,
|
1080 |
+
"learning_rate": 8.545149827537065e-05,
|
1081 |
+
"loss": 2.3872,
|
1082 |
+
"step": 87500
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 0.33,
|
1086 |
+
"learning_rate": 8.522266338562404e-05,
|
1087 |
+
"loss": 2.3877,
|
1088 |
+
"step": 88000
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 0.33,
|
1092 |
+
"learning_rate": 8.499235444326407e-05,
|
1093 |
+
"loss": 2.3939,
|
1094 |
+
"step": 88500
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.33,
|
1098 |
+
"learning_rate": 8.476058108661639e-05,
|
1099 |
+
"loss": 2.3855,
|
1100 |
+
"step": 89000
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 0.33,
|
1104 |
+
"learning_rate": 8.452735301529164e-05,
|
1105 |
+
"loss": 2.388,
|
1106 |
+
"step": 89500
|
1107 |
+
},
|
1108 |
+
{
|
1109 |
+
"epoch": 0.33,
|
1110 |
+
"learning_rate": 8.429267998977967e-05,
|
1111 |
+
"loss": 2.3801,
|
1112 |
+
"step": 90000
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 0.34,
|
1116 |
+
"learning_rate": 8.4056571831041e-05,
|
1117 |
+
"loss": 2.3723,
|
1118 |
+
"step": 90500
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 0.34,
|
1122 |
+
"learning_rate": 8.381903842009583e-05,
|
1123 |
+
"loss": 2.3838,
|
1124 |
+
"step": 91000
|
1125 |
+
},
|
1126 |
+
{
|
1127 |
+
"epoch": 0.34,
|
1128 |
+
"learning_rate": 8.358008969761053e-05,
|
1129 |
+
"loss": 2.3857,
|
1130 |
+
"step": 91500
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 0.34,
|
1134 |
+
"learning_rate": 8.333973566348161e-05,
|
1135 |
+
"loss": 2.3678,
|
1136 |
+
"step": 92000
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.34,
|
1140 |
+
"learning_rate": 8.309798637641725e-05,
|
1141 |
+
"loss": 2.3804,
|
1142 |
+
"step": 92500
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 0.34,
|
1146 |
+
"learning_rate": 8.285485195351632e-05,
|
1147 |
+
"loss": 2.3667,
|
1148 |
+
"step": 93000
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 0.35,
|
1152 |
+
"learning_rate": 8.261034256984503e-05,
|
1153 |
+
"loss": 2.3648,
|
1154 |
+
"step": 93500
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 0.35,
|
1158 |
+
"learning_rate": 8.236446845801104e-05,
|
1159 |
+
"loss": 2.4219,
|
1160 |
+
"step": 94000
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 0.35,
|
1164 |
+
"learning_rate": 8.211723990773533e-05,
|
1165 |
+
"loss": 2.4274,
|
1166 |
+
"step": 94500
|
1167 |
+
},
|
1168 |
+
{
|
1169 |
+
"epoch": 0.35,
|
1170 |
+
"learning_rate": 8.186866726542143e-05,
|
1171 |
+
"loss": 2.4006,
|
1172 |
+
"step": 95000
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 0.35,
|
1176 |
+
"learning_rate": 8.161876093372264e-05,
|
1177 |
+
"loss": 2.3849,
|
1178 |
+
"step": 95500
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.36,
|
1182 |
+
"learning_rate": 8.136753137110643e-05,
|
1183 |
+
"loss": 2.3937,
|
1184 |
+
"step": 96000
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 0.36,
|
1188 |
+
"learning_rate": 8.111498909141696e-05,
|
1189 |
+
"loss": 2.3867,
|
1190 |
+
"step": 96500
|
1191 |
+
},
|
1192 |
+
{
|
1193 |
+
"epoch": 0.36,
|
1194 |
+
"learning_rate": 8.086114466343502e-05,
|
1195 |
+
"loss": 2.3914,
|
1196 |
+
"step": 97000
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 0.36,
|
1200 |
+
"learning_rate": 8.060600871043566e-05,
|
1201 |
+
"loss": 2.3946,
|
1202 |
+
"step": 97500
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 0.36,
|
1206 |
+
"learning_rate": 8.034959190974374e-05,
|
1207 |
+
"loss": 2.397,
|
1208 |
+
"step": 98000
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 0.37,
|
1212 |
+
"learning_rate": 8.009190499228698e-05,
|
1213 |
+
"loss": 2.3854,
|
1214 |
+
"step": 98500
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 0.37,
|
1218 |
+
"learning_rate": 7.983295874214692e-05,
|
1219 |
+
"loss": 2.4079,
|
1220 |
+
"step": 99000
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.37,
|
1224 |
+
"learning_rate": 7.95727639961076e-05,
|
1225 |
+
"loss": 2.394,
|
1226 |
+
"step": 99500
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 0.37,
|
1230 |
+
"learning_rate": 7.931133164320208e-05,
|
1231 |
+
"loss": 2.394,
|
1232 |
+
"step": 100000
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"epoch": 0.37,
|
1236 |
+
"eval_loss": 2.2282919883728027,
|
1237 |
+
"eval_runtime": 285.8926,
|
1238 |
+
"eval_samples_per_second": 349.782,
|
1239 |
+
"eval_steps_per_second": 43.723,
|
1240 |
+
"step": 100000
|
1241 |
+
},
|
1242 |
+
{
|
1243 |
+
"epoch": 0.37,
|
1244 |
+
"learning_rate": 7.904867262425669e-05,
|
1245 |
+
"loss": 2.3871,
|
1246 |
+
"step": 100500
|
1247 |
+
},
|
1248 |
+
{
|
1249 |
+
"epoch": 0.37,
|
1250 |
+
"learning_rate": 7.878479793143314e-05,
|
1251 |
+
"loss": 2.3768,
|
1252 |
+
"step": 101000
|
1253 |
+
},
|
1254 |
+
{
|
1255 |
+
"epoch": 0.38,
|
1256 |
+
"learning_rate": 7.851971860776864e-05,
|
1257 |
+
"loss": 2.3783,
|
1258 |
+
"step": 101500
|
1259 |
+
},
|
1260 |
+
{
|
1261 |
+
"epoch": 0.38,
|
1262 |
+
"learning_rate": 7.82534457467136e-05,
|
1263 |
+
"loss": 2.3733,
|
1264 |
+
"step": 102000
|
1265 |
+
},
|
1266 |
+
{
|
1267 |
+
"epoch": 0.38,
|
1268 |
+
"learning_rate": 7.798599049166741e-05,
|
1269 |
+
"loss": 2.3717,
|
1270 |
+
"step": 102500
|
1271 |
+
},
|
1272 |
+
{
|
1273 |
+
"epoch": 0.38,
|
1274 |
+
"learning_rate": 7.771736403551216e-05,
|
1275 |
+
"loss": 2.3689,
|
1276 |
+
"step": 103000
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.38,
|
1280 |
+
"learning_rate": 7.744757762014416e-05,
|
1281 |
+
"loss": 2.3714,
|
1282 |
+
"step": 103500
|
1283 |
+
},
|
1284 |
+
{
|
1285 |
+
"epoch": 0.39,
|
1286 |
+
"learning_rate": 7.717664253600352e-05,
|
1287 |
+
"loss": 2.3792,
|
1288 |
+
"step": 104000
|
1289 |
+
},
|
1290 |
+
{
|
1291 |
+
"epoch": 0.39,
|
1292 |
+
"learning_rate": 7.690457012160156e-05,
|
1293 |
+
"loss": 2.3711,
|
1294 |
+
"step": 104500
|
1295 |
+
},
|
1296 |
+
{
|
1297 |
+
"epoch": 0.39,
|
1298 |
+
"learning_rate": 7.663137176304642e-05,
|
1299 |
+
"loss": 2.3829,
|
1300 |
+
"step": 105000
|
1301 |
+
},
|
1302 |
+
{
|
1303 |
+
"epoch": 0.39,
|
1304 |
+
"learning_rate": 7.635705889356646e-05,
|
1305 |
+
"loss": 2.4541,
|
1306 |
+
"step": 105500
|
1307 |
+
},
|
1308 |
+
{
|
1309 |
+
"epoch": 0.39,
|
1310 |
+
"learning_rate": 7.608164299303187e-05,
|
1311 |
+
"loss": 2.386,
|
1312 |
+
"step": 106000
|
1313 |
+
},
|
1314 |
+
{
|
1315 |
+
"epoch": 0.39,
|
1316 |
+
"learning_rate": 7.580513558747409e-05,
|
1317 |
+
"loss": 2.3839,
|
1318 |
+
"step": 106500
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.4,
|
1322 |
+
"learning_rate": 7.552754824860368e-05,
|
1323 |
+
"loss": 2.3896,
|
1324 |
+
"step": 107000
|
1325 |
+
},
|
1326 |
+
{
|
1327 |
+
"epoch": 0.4,
|
1328 |
+
"learning_rate": 7.524889259332584e-05,
|
1329 |
+
"loss": 2.3839,
|
1330 |
+
"step": 107500
|
1331 |
+
},
|
1332 |
+
{
|
1333 |
+
"epoch": 0.4,
|
1334 |
+
"learning_rate": 7.496918028325434e-05,
|
1335 |
+
"loss": 2.3821,
|
1336 |
+
"step": 108000
|
1337 |
+
},
|
1338 |
+
{
|
1339 |
+
"epoch": 0.4,
|
1340 |
+
"learning_rate": 7.468842302422355e-05,
|
1341 |
+
"loss": 2.3797,
|
1342 |
+
"step": 108500
|
1343 |
+
},
|
1344 |
+
{
|
1345 |
+
"epoch": 0.4,
|
1346 |
+
"learning_rate": 7.440663256579836e-05,
|
1347 |
+
"loss": 2.348,
|
1348 |
+
"step": 109000
|
1349 |
+
},
|
1350 |
+
{
|
1351 |
+
"epoch": 0.41,
|
1352 |
+
"learning_rate": 7.412382070078269e-05,
|
1353 |
+
"loss": 2.3413,
|
1354 |
+
"step": 109500
|
1355 |
+
},
|
1356 |
+
{
|
1357 |
+
"epoch": 0.41,
|
1358 |
+
"learning_rate": 7.383999926472585e-05,
|
1359 |
+
"loss": 2.3497,
|
1360 |
+
"step": 110000
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.41,
|
1364 |
+
"learning_rate": 7.355518013542717e-05,
|
1365 |
+
"loss": 2.3303,
|
1366 |
+
"step": 110500
|
1367 |
+
},
|
1368 |
+
{
|
1369 |
+
"epoch": 0.41,
|
1370 |
+
"learning_rate": 7.326937523243908e-05,
|
1371 |
+
"loss": 2.3348,
|
1372 |
+
"step": 111000
|
1373 |
+
},
|
1374 |
+
{
|
1375 |
+
"epoch": 0.41,
|
1376 |
+
"learning_rate": 7.29825965165682e-05,
|
1377 |
+
"loss": 2.3375,
|
1378 |
+
"step": 111500
|
1379 |
+
},
|
1380 |
+
{
|
1381 |
+
"epoch": 0.42,
|
1382 |
+
"learning_rate": 7.269485598937468e-05,
|
1383 |
+
"loss": 2.3271,
|
1384 |
+
"step": 112000
|
1385 |
+
},
|
1386 |
+
{
|
1387 |
+
"epoch": 0.42,
|
1388 |
+
"learning_rate": 7.240616569267015e-05,
|
1389 |
+
"loss": 2.3184,
|
1390 |
+
"step": 112500
|
1391 |
+
},
|
1392 |
+
{
|
1393 |
+
"epoch": 0.42,
|
1394 |
+
"learning_rate": 7.211653770801363e-05,
|
1395 |
+
"loss": 2.333,
|
1396 |
+
"step": 113000
|
1397 |
+
},
|
1398 |
+
{
|
1399 |
+
"epoch": 0.42,
|
1400 |
+
"learning_rate": 7.182598415620591e-05,
|
1401 |
+
"loss": 2.3712,
|
1402 |
+
"step": 113500
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.42,
|
1406 |
+
"learning_rate": 7.153451719678243e-05,
|
1407 |
+
"loss": 2.3387,
|
1408 |
+
"step": 114000
|
1409 |
+
},
|
1410 |
+
{
|
1411 |
+
"epoch": 0.42,
|
1412 |
+
"learning_rate": 7.124214902750428e-05,
|
1413 |
+
"loss": 2.3274,
|
1414 |
+
"step": 114500
|
1415 |
+
},
|
1416 |
+
{
|
1417 |
+
"epoch": 0.43,
|
1418 |
+
"learning_rate": 7.094889188384774e-05,
|
1419 |
+
"loss": 2.326,
|
1420 |
+
"step": 115000
|
1421 |
+
},
|
1422 |
+
{
|
1423 |
+
"epoch": 0.43,
|
1424 |
+
"learning_rate": 7.065475803849241e-05,
|
1425 |
+
"loss": 2.3131,
|
1426 |
+
"step": 115500
|
1427 |
+
},
|
1428 |
+
{
|
1429 |
+
"epoch": 0.43,
|
1430 |
+
"learning_rate": 7.035975980080728e-05,
|
1431 |
+
"loss": 2.3186,
|
1432 |
+
"step": 116000
|
1433 |
+
},
|
1434 |
+
{
|
1435 |
+
"epoch": 0.43,
|
1436 |
+
"learning_rate": 7.006390951633589e-05,
|
1437 |
+
"loss": 2.3156,
|
1438 |
+
"step": 116500
|
1439 |
+
},
|
1440 |
+
{
|
1441 |
+
"epoch": 0.43,
|
1442 |
+
"learning_rate": 6.976721956627952e-05,
|
1443 |
+
"loss": 2.3211,
|
1444 |
+
"step": 117000
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 0.44,
|
1448 |
+
"learning_rate": 6.946970236697905e-05,
|
1449 |
+
"loss": 2.3116,
|
1450 |
+
"step": 117500
|
1451 |
+
},
|
1452 |
+
{
|
1453 |
+
"epoch": 0.44,
|
1454 |
+
"learning_rate": 6.917137036939542e-05,
|
1455 |
+
"loss": 2.3189,
|
1456 |
+
"step": 118000
|
1457 |
+
},
|
1458 |
+
{
|
1459 |
+
"epoch": 0.44,
|
1460 |
+
"learning_rate": 6.88722360585885e-05,
|
1461 |
+
"loss": 2.3286,
|
1462 |
+
"step": 118500
|
1463 |
+
},
|
1464 |
+
{
|
1465 |
+
"epoch": 0.44,
|
1466 |
+
"learning_rate": 6.857231195319457e-05,
|
1467 |
+
"loss": 2.3186,
|
1468 |
+
"step": 119000
|
1469 |
+
},
|
1470 |
+
{
|
1471 |
+
"epoch": 0.44,
|
1472 |
+
"learning_rate": 6.827161060490248e-05,
|
1473 |
+
"loss": 2.3102,
|
1474 |
+
"step": 119500
|
1475 |
+
},
|
1476 |
+
{
|
1477 |
+
"epoch": 0.44,
|
1478 |
+
"learning_rate": 6.797014459792836e-05,
|
1479 |
+
"loss": 2.3146,
|
1480 |
+
"step": 120000
|
1481 |
+
},
|
1482 |
+
{
|
1483 |
+
"epoch": 0.45,
|
1484 |
+
"learning_rate": 6.766792654848896e-05,
|
1485 |
+
"loss": 2.2962,
|
1486 |
+
"step": 120500
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 0.45,
|
1490 |
+
"learning_rate": 6.736496910427364e-05,
|
1491 |
+
"loss": 2.2984,
|
1492 |
+
"step": 121000
|
1493 |
+
},
|
1494 |
+
{
|
1495 |
+
"epoch": 0.45,
|
1496 |
+
"learning_rate": 6.70612849439151e-05,
|
1497 |
+
"loss": 2.308,
|
1498 |
+
"step": 121500
|
1499 |
+
},
|
1500 |
+
{
|
1501 |
+
"epoch": 0.45,
|
1502 |
+
"learning_rate": 6.675688677645883e-05,
|
1503 |
+
"loss": 2.3029,
|
1504 |
+
"step": 122000
|
1505 |
+
},
|
1506 |
+
{
|
1507 |
+
"epoch": 0.45,
|
1508 |
+
"learning_rate": 6.645178734083117e-05,
|
1509 |
+
"loss": 2.2933,
|
1510 |
+
"step": 122500
|
1511 |
+
},
|
1512 |
+
{
|
1513 |
+
"epoch": 0.46,
|
1514 |
+
"learning_rate": 6.614599940530619e-05,
|
1515 |
+
"loss": 2.3026,
|
1516 |
+
"step": 123000
|
1517 |
+
},
|
1518 |
+
{
|
1519 |
+
"epoch": 0.46,
|
1520 |
+
"learning_rate": 6.583953576697141e-05,
|
1521 |
+
"loss": 2.3084,
|
1522 |
+
"step": 123500
|
1523 |
+
},
|
1524 |
+
{
|
1525 |
+
"epoch": 0.46,
|
1526 |
+
"learning_rate": 6.553240925119219e-05,
|
1527 |
+
"loss": 2.2985,
|
1528 |
+
"step": 124000
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 0.46,
|
1532 |
+
"learning_rate": 6.522463271107502e-05,
|
1533 |
+
"loss": 2.3035,
|
1534 |
+
"step": 124500
|
1535 |
+
},
|
1536 |
+
{
|
1537 |
+
"epoch": 0.46,
|
1538 |
+
"learning_rate": 6.49162190269296e-05,
|
1539 |
+
"loss": 2.2891,
|
1540 |
+
"step": 125000
|
1541 |
+
},
|
1542 |
+
{
|
1543 |
+
"epoch": 0.46,
|
1544 |
+
"eval_loss": 2.1396679878234863,
|
1545 |
+
"eval_runtime": 305.6778,
|
1546 |
+
"eval_samples_per_second": 327.142,
|
1547 |
+
"eval_steps_per_second": 40.893,
|
1548 |
+
"step": 125000
|
1549 |
+
},
|
1550 |
+
{
|
1551 |
+
"epoch": 0.47,
|
1552 |
+
"learning_rate": 6.460718110572983e-05,
|
1553 |
+
"loss": 2.2987,
|
1554 |
+
"step": 125500
|
1555 |
+
},
|
1556 |
+
{
|
1557 |
+
"epoch": 0.47,
|
1558 |
+
"learning_rate": 6.429753188057368e-05,
|
1559 |
+
"loss": 2.2899,
|
1560 |
+
"step": 126000
|
1561 |
+
},
|
1562 |
+
{
|
1563 |
+
"epoch": 0.47,
|
1564 |
+
"learning_rate": 6.398728431014187e-05,
|
1565 |
+
"loss": 2.2919,
|
1566 |
+
"step": 126500
|
1567 |
+
},
|
1568 |
+
{
|
1569 |
+
"epoch": 0.47,
|
1570 |
+
"learning_rate": 6.367645137815561e-05,
|
1571 |
+
"loss": 2.2878,
|
1572 |
+
"step": 127000
|
1573 |
+
},
|
1574 |
+
{
|
1575 |
+
"epoch": 0.47,
|
1576 |
+
"learning_rate": 6.336504609283325e-05,
|
1577 |
+
"loss": 2.2848,
|
1578 |
+
"step": 127500
|
1579 |
+
},
|
1580 |
+
{
|
1581 |
+
"epoch": 0.47,
|
1582 |
+
"learning_rate": 6.305308148634585e-05,
|
1583 |
+
"loss": 2.2813,
|
1584 |
+
"step": 128000
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.48,
|
1588 |
+
"learning_rate": 6.274057061427182e-05,
|
1589 |
+
"loss": 2.2804,
|
1590 |
+
"step": 128500
|
1591 |
+
},
|
1592 |
+
{
|
1593 |
+
"epoch": 0.48,
|
1594 |
+
"learning_rate": 6.242752655505053e-05,
|
1595 |
+
"loss": 2.2888,
|
1596 |
+
"step": 129000
|
1597 |
+
},
|
1598 |
+
{
|
1599 |
+
"epoch": 0.48,
|
1600 |
+
"learning_rate": 6.211396240943499e-05,
|
1601 |
+
"loss": 2.2884,
|
1602 |
+
"step": 129500
|
1603 |
+
},
|
1604 |
+
{
|
1605 |
+
"epoch": 0.48,
|
1606 |
+
"learning_rate": 6.17998912999436e-05,
|
1607 |
+
"loss": 2.28,
|
1608 |
+
"step": 130000
|
1609 |
+
},
|
1610 |
+
{
|
1611 |
+
"epoch": 0.48,
|
1612 |
+
"learning_rate": 6.148532637031098e-05,
|
1613 |
+
"loss": 2.2855,
|
1614 |
+
"step": 130500
|
1615 |
+
},
|
1616 |
+
{
|
1617 |
+
"epoch": 0.49,
|
1618 |
+
"learning_rate": 6.117028078493787e-05,
|
1619 |
+
"loss": 2.3124,
|
1620 |
+
"step": 131000
|
1621 |
+
},
|
1622 |
+
{
|
1623 |
+
"epoch": 0.49,
|
1624 |
+
"learning_rate": 6.085476772834029e-05,
|
1625 |
+
"loss": 2.2886,
|
1626 |
+
"step": 131500
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 0.49,
|
1630 |
+
"learning_rate": 6.053880040459764e-05,
|
1631 |
+
"loss": 2.3043,
|
1632 |
+
"step": 132000
|
1633 |
+
},
|
1634 |
+
{
|
1635 |
+
"epoch": 0.49,
|
1636 |
+
"learning_rate": 6.022239203680027e-05,
|
1637 |
+
"loss": 2.3534,
|
1638 |
+
"step": 132500
|
1639 |
+
},
|
1640 |
+
{
|
1641 |
+
"epoch": 0.49,
|
1642 |
+
"learning_rate": 5.990555586649599e-05,
|
1643 |
+
"loss": 2.569,
|
1644 |
+
"step": 133000
|
1645 |
+
},
|
1646 |
+
{
|
1647 |
+
"epoch": 0.49,
|
1648 |
+
"learning_rate": 5.958830515313596e-05,
|
1649 |
+
"loss": 2.341,
|
1650 |
+
"step": 133500
|
1651 |
+
},
|
1652 |
+
{
|
1653 |
+
"epoch": 0.5,
|
1654 |
+
"learning_rate": 5.927065317351976e-05,
|
1655 |
+
"loss": 2.2866,
|
1656 |
+
"step": 134000
|
1657 |
+
},
|
1658 |
+
{
|
1659 |
+
"epoch": 0.5,
|
1660 |
+
"learning_rate": 5.8952613221239826e-05,
|
1661 |
+
"loss": 2.2786,
|
1662 |
+
"step": 134500
|
1663 |
+
},
|
1664 |
+
{
|
1665 |
+
"epoch": 0.5,
|
1666 |
+
"learning_rate": 5.863419860612506e-05,
|
1667 |
+
"loss": 2.2707,
|
1668 |
+
"step": 135000
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 0.5,
|
1672 |
+
"learning_rate": 5.831542265368378e-05,
|
1673 |
+
"loss": 2.277,
|
1674 |
+
"step": 135500
|
1675 |
+
},
|
1676 |
+
{
|
1677 |
+
"epoch": 0.5,
|
1678 |
+
"learning_rate": 5.799629870454619e-05,
|
1679 |
+
"loss": 2.2702,
|
1680 |
+
"step": 136000
|
1681 |
+
},
|
1682 |
+
{
|
1683 |
+
"epoch": 0.51,
|
1684 |
+
"learning_rate": 5.7676840113905974e-05,
|
1685 |
+
"loss": 2.2673,
|
1686 |
+
"step": 136500
|
1687 |
+
},
|
1688 |
+
{
|
1689 |
+
"epoch": 0.51,
|
1690 |
+
"learning_rate": 5.735706025096136e-05,
|
1691 |
+
"loss": 2.2517,
|
1692 |
+
"step": 137000
|
1693 |
+
},
|
1694 |
+
{
|
1695 |
+
"epoch": 0.51,
|
1696 |
+
"learning_rate": 5.7036972498355744e-05,
|
1697 |
+
"loss": 2.2768,
|
1698 |
+
"step": 137500
|
1699 |
+
},
|
1700 |
+
{
|
1701 |
+
"epoch": 0.51,
|
1702 |
+
"learning_rate": 5.671659025161755e-05,
|
1703 |
+
"loss": 2.2569,
|
1704 |
+
"step": 138000
|
1705 |
+
},
|
1706 |
+
{
|
1707 |
+
"epoch": 0.51,
|
1708 |
+
"learning_rate": 5.6395926918599606e-05,
|
1709 |
+
"loss": 2.2527,
|
1710 |
+
"step": 138500
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 0.52,
|
1714 |
+
"learning_rate": 5.607499591891816e-05,
|
1715 |
+
"loss": 2.2662,
|
1716 |
+
"step": 139000
|
1717 |
+
},
|
1718 |
+
{
|
1719 |
+
"epoch": 0.52,
|
1720 |
+
"learning_rate": 5.5753810683391104e-05,
|
1721 |
+
"loss": 2.2446,
|
1722 |
+
"step": 139500
|
1723 |
+
},
|
1724 |
+
{
|
1725 |
+
"epoch": 0.52,
|
1726 |
+
"learning_rate": 5.5432384653476e-05,
|
1727 |
+
"loss": 2.2506,
|
1728 |
+
"step": 140000
|
1729 |
+
},
|
1730 |
+
{
|
1731 |
+
"epoch": 0.52,
|
1732 |
+
"learning_rate": 5.5110731280707605e-05,
|
1733 |
+
"loss": 2.2495,
|
1734 |
+
"step": 140500
|
1735 |
+
},
|
1736 |
+
{
|
1737 |
+
"epoch": 0.52,
|
1738 |
+
"learning_rate": 5.4788864026134824e-05,
|
1739 |
+
"loss": 2.2513,
|
1740 |
+
"step": 141000
|
1741 |
+
},
|
1742 |
+
{
|
1743 |
+
"epoch": 0.52,
|
1744 |
+
"learning_rate": 5.446679635975741e-05,
|
1745 |
+
"loss": 2.2512,
|
1746 |
+
"step": 141500
|
1747 |
+
},
|
1748 |
+
{
|
1749 |
+
"epoch": 0.53,
|
1750 |
+
"learning_rate": 5.41445417599623e-05,
|
1751 |
+
"loss": 2.2497,
|
1752 |
+
"step": 142000
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 0.53,
|
1756 |
+
"learning_rate": 5.3822113712959466e-05,
|
1757 |
+
"loss": 2.2491,
|
1758 |
+
"step": 142500
|
1759 |
+
},
|
1760 |
+
{
|
1761 |
+
"epoch": 0.53,
|
1762 |
+
"learning_rate": 5.349952571221761e-05,
|
1763 |
+
"loss": 2.2425,
|
1764 |
+
"step": 143000
|
1765 |
+
},
|
1766 |
+
{
|
1767 |
+
"epoch": 0.53,
|
1768 |
+
"learning_rate": 5.3176791257899405e-05,
|
1769 |
+
"loss": 2.2491,
|
1770 |
+
"step": 143500
|
1771 |
+
},
|
1772 |
+
{
|
1773 |
+
"epoch": 0.53,
|
1774 |
+
"learning_rate": 5.285392385629653e-05,
|
1775 |
+
"loss": 2.2542,
|
1776 |
+
"step": 144000
|
1777 |
+
},
|
1778 |
+
{
|
1779 |
+
"epoch": 0.54,
|
1780 |
+
"learning_rate": 5.253093701926446e-05,
|
1781 |
+
"loss": 2.2498,
|
1782 |
+
"step": 144500
|
1783 |
+
},
|
1784 |
+
{
|
1785 |
+
"epoch": 0.54,
|
1786 |
+
"learning_rate": 5.2207844263657e-05,
|
1787 |
+
"loss": 2.2456,
|
1788 |
+
"step": 145000
|
1789 |
+
},
|
1790 |
+
{
|
1791 |
+
"epoch": 0.54,
|
1792 |
+
"learning_rate": 5.188465911076059e-05,
|
1793 |
+
"loss": 2.235,
|
1794 |
+
"step": 145500
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 0.54,
|
1798 |
+
"learning_rate": 5.156139508572844e-05,
|
1799 |
+
"loss": 2.2463,
|
1800 |
+
"step": 146000
|
1801 |
+
},
|
1802 |
+
{
|
1803 |
+
"epoch": 0.54,
|
1804 |
+
"learning_rate": 5.1238065717014526e-05,
|
1805 |
+
"loss": 2.232,
|
1806 |
+
"step": 146500
|
1807 |
+
},
|
1808 |
+
{
|
1809 |
+
"epoch": 0.54,
|
1810 |
+
"learning_rate": 5.091468453580748e-05,
|
1811 |
+
"loss": 2.227,
|
1812 |
+
"step": 147000
|
1813 |
+
},
|
1814 |
+
{
|
1815 |
+
"epoch": 0.55,
|
1816 |
+
"learning_rate": 5.0591265075464167e-05,
|
1817 |
+
"loss": 2.2354,
|
1818 |
+
"step": 147500
|
1819 |
+
},
|
1820 |
+
{
|
1821 |
+
"epoch": 0.55,
|
1822 |
+
"learning_rate": 5.026782087094353e-05,
|
1823 |
+
"loss": 2.2266,
|
1824 |
+
"step": 148000
|
1825 |
+
},
|
1826 |
+
{
|
1827 |
+
"epoch": 0.55,
|
1828 |
+
"learning_rate": 4.9944365458239946e-05,
|
1829 |
+
"loss": 2.2319,
|
1830 |
+
"step": 148500
|
1831 |
+
},
|
1832 |
+
{
|
1833 |
+
"epoch": 0.55,
|
1834 |
+
"learning_rate": 4.9620912373816894e-05,
|
1835 |
+
"loss": 2.2383,
|
1836 |
+
"step": 149000
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 0.55,
|
1840 |
+
"learning_rate": 4.929747515404043e-05,
|
1841 |
+
"loss": 2.2315,
|
1842 |
+
"step": 149500
|
1843 |
+
},
|
1844 |
+
{
|
1845 |
+
"epoch": 0.56,
|
1846 |
+
"learning_rate": 4.897406733461264e-05,
|
1847 |
+
"loss": 2.2286,
|
1848 |
+
"step": 150000
|
1849 |
+
},
|
1850 |
+
{
|
1851 |
+
"epoch": 0.56,
|
1852 |
+
"eval_loss": 2.0796430110931396,
|
1853 |
+
"eval_runtime": 286.5966,
|
1854 |
+
"eval_samples_per_second": 348.923,
|
1855 |
+
"eval_steps_per_second": 43.615,
|
1856 |
+
"step": 150000
|
1857 |
+
},
|
1858 |
+
{
|
1859 |
+
"epoch": 0.56,
|
1860 |
+
"learning_rate": 4.8650702450005264e-05,
|
1861 |
+
"loss": 2.2269,
|
1862 |
+
"step": 150500
|
1863 |
+
},
|
1864 |
+
{
|
1865 |
+
"epoch": 0.56,
|
1866 |
+
"learning_rate": 4.832739403289318e-05,
|
1867 |
+
"loss": 2.2294,
|
1868 |
+
"step": 151000
|
1869 |
+
},
|
1870 |
+
{
|
1871 |
+
"epoch": 0.56,
|
1872 |
+
"learning_rate": 4.8004155613588214e-05,
|
1873 |
+
"loss": 2.216,
|
1874 |
+
"step": 151500
|
1875 |
+
},
|
1876 |
+
{
|
1877 |
+
"epoch": 0.56,
|
1878 |
+
"learning_rate": 4.7681000719472726e-05,
|
1879 |
+
"loss": 2.2128,
|
1880 |
+
"step": 152000
|
1881 |
+
},
|
1882 |
+
{
|
1883 |
+
"epoch": 0.57,
|
1884 |
+
"learning_rate": 4.7357942874433634e-05,
|
1885 |
+
"loss": 2.2088,
|
1886 |
+
"step": 152500
|
1887 |
+
},
|
1888 |
+
{
|
1889 |
+
"epoch": 0.57,
|
1890 |
+
"learning_rate": 4.703499559829639e-05,
|
1891 |
+
"loss": 2.2112,
|
1892 |
+
"step": 153000
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 0.57,
|
1896 |
+
"learning_rate": 4.671217240625916e-05,
|
1897 |
+
"loss": 2.2168,
|
1898 |
+
"step": 153500
|
1899 |
+
},
|
1900 |
+
{
|
1901 |
+
"epoch": 0.57,
|
1902 |
+
"learning_rate": 4.6389486808327304e-05,
|
1903 |
+
"loss": 2.2034,
|
1904 |
+
"step": 154000
|
1905 |
+
},
|
1906 |
+
{
|
1907 |
+
"epoch": 0.57,
|
1908 |
+
"learning_rate": 4.606695230874788e-05,
|
1909 |
+
"loss": 2.2045,
|
1910 |
+
"step": 154500
|
1911 |
+
},
|
1912 |
+
{
|
1913 |
+
"epoch": 0.57,
|
1914 |
+
"learning_rate": 4.5744582405444544e-05,
|
1915 |
+
"loss": 2.2043,
|
1916 |
+
"step": 155000
|
1917 |
+
},
|
1918 |
+
{
|
1919 |
+
"epoch": 0.58,
|
1920 |
+
"learning_rate": 4.542239058945272e-05,
|
1921 |
+
"loss": 2.2116,
|
1922 |
+
"step": 155500
|
1923 |
+
},
|
1924 |
+
{
|
1925 |
+
"epoch": 0.58,
|
1926 |
+
"learning_rate": 4.51003903443549e-05,
|
1927 |
+
"loss": 2.2046,
|
1928 |
+
"step": 156000
|
1929 |
+
},
|
1930 |
+
{
|
1931 |
+
"epoch": 0.58,
|
1932 |
+
"learning_rate": 4.4778595145716465e-05,
|
1933 |
+
"loss": 2.1967,
|
1934 |
+
"step": 156500
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 0.58,
|
1938 |
+
"learning_rate": 4.4457018460521684e-05,
|
1939 |
+
"loss": 2.2046,
|
1940 |
+
"step": 157000
|
1941 |
+
},
|
1942 |
+
{
|
1943 |
+
"epoch": 0.58,
|
1944 |
+
"learning_rate": 4.4135673746610115e-05,
|
1945 |
+
"loss": 2.1952,
|
1946 |
+
"step": 157500
|
1947 |
+
},
|
1948 |
+
{
|
1949 |
+
"epoch": 0.59,
|
1950 |
+
"learning_rate": 4.381457445211346e-05,
|
1951 |
+
"loss": 2.2071,
|
1952 |
+
"step": 158000
|
1953 |
+
},
|
1954 |
+
{
|
1955 |
+
"epoch": 0.59,
|
1956 |
+
"learning_rate": 4.349373401489269e-05,
|
1957 |
+
"loss": 2.1993,
|
1958 |
+
"step": 158500
|
1959 |
+
},
|
1960 |
+
{
|
1961 |
+
"epoch": 0.59,
|
1962 |
+
"learning_rate": 4.317316586197571e-05,
|
1963 |
+
"loss": 2.1998,
|
1964 |
+
"step": 159000
|
1965 |
+
},
|
1966 |
+
{
|
1967 |
+
"epoch": 0.59,
|
1968 |
+
"learning_rate": 4.2852883408995515e-05,
|
1969 |
+
"loss": 2.1938,
|
1970 |
+
"step": 159500
|
1971 |
+
},
|
1972 |
+
{
|
1973 |
+
"epoch": 0.59,
|
1974 |
+
"learning_rate": 4.253290005962863e-05,
|
1975 |
+
"loss": 2.1901,
|
1976 |
+
"step": 160000
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 0.59,
|
1980 |
+
"learning_rate": 4.221322920503423e-05,
|
1981 |
+
"loss": 2.1933,
|
1982 |
+
"step": 160500
|
1983 |
+
},
|
1984 |
+
{
|
1985 |
+
"epoch": 0.6,
|
1986 |
+
"learning_rate": 4.1893884223293746e-05,
|
1987 |
+
"loss": 2.1884,
|
1988 |
+
"step": 161000
|
1989 |
+
},
|
1990 |
+
{
|
1991 |
+
"epoch": 0.6,
|
1992 |
+
"learning_rate": 4.157487847885094e-05,
|
1993 |
+
"loss": 2.1855,
|
1994 |
+
"step": 161500
|
1995 |
+
},
|
1996 |
+
{
|
1997 |
+
"epoch": 0.6,
|
1998 |
+
"learning_rate": 4.1256225321952705e-05,
|
1999 |
+
"loss": 2.1968,
|
2000 |
+
"step": 162000
|
2001 |
+
},
|
2002 |
+
{
|
2003 |
+
"epoch": 0.6,
|
2004 |
+
"learning_rate": 4.093793808809028e-05,
|
2005 |
+
"loss": 2.186,
|
2006 |
+
"step": 162500
|
2007 |
+
},
|
2008 |
+
{
|
2009 |
+
"epoch": 0.6,
|
2010 |
+
"learning_rate": 4.062003009744115e-05,
|
2011 |
+
"loss": 2.1905,
|
2012 |
+
"step": 163000
|
2013 |
+
},
|
2014 |
+
{
|
2015 |
+
"epoch": 0.61,
|
2016 |
+
"learning_rate": 4.0302514654311675e-05,
|
2017 |
+
"loss": 2.1828,
|
2018 |
+
"step": 163500
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 0.61,
|
2022 |
+
"learning_rate": 3.998540504658027e-05,
|
2023 |
+
"loss": 2.1878,
|
2024 |
+
"step": 164000
|
2025 |
+
},
|
2026 |
+
{
|
2027 |
+
"epoch": 0.61,
|
2028 |
+
"learning_rate": 3.966871454514137e-05,
|
2029 |
+
"loss": 2.1918,
|
2030 |
+
"step": 164500
|
2031 |
+
},
|
2032 |
+
{
|
2033 |
+
"epoch": 0.61,
|
2034 |
+
"learning_rate": 3.935245640334991e-05,
|
2035 |
+
"loss": 2.182,
|
2036 |
+
"step": 165000
|
2037 |
+
},
|
2038 |
+
{
|
2039 |
+
"epoch": 0.61,
|
2040 |
+
"learning_rate": 3.903664385646685e-05,
|
2041 |
+
"loss": 2.1872,
|
2042 |
+
"step": 165500
|
2043 |
+
},
|
2044 |
+
{
|
2045 |
+
"epoch": 0.62,
|
2046 |
+
"learning_rate": 3.872129012110515e-05,
|
2047 |
+
"loss": 2.18,
|
2048 |
+
"step": 166000
|
2049 |
+
},
|
2050 |
+
{
|
2051 |
+
"epoch": 0.62,
|
2052 |
+
"learning_rate": 3.8406408394676724e-05,
|
2053 |
+
"loss": 2.1794,
|
2054 |
+
"step": 166500
|
2055 |
+
},
|
2056 |
+
{
|
2057 |
+
"epoch": 0.62,
|
2058 |
+
"learning_rate": 3.8092011854840135e-05,
|
2059 |
+
"loss": 2.1778,
|
2060 |
+
"step": 167000
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 0.62,
|
2064 |
+
"learning_rate": 3.7778113658949145e-05,
|
2065 |
+
"loss": 2.1764,
|
2066 |
+
"step": 167500
|
2067 |
+
},
|
2068 |
+
{
|
2069 |
+
"epoch": 0.62,
|
2070 |
+
"learning_rate": 3.7464726943501955e-05,
|
2071 |
+
"loss": 2.1727,
|
2072 |
+
"step": 168000
|
2073 |
+
},
|
2074 |
+
{
|
2075 |
+
"epoch": 0.62,
|
2076 |
+
"learning_rate": 3.715186482359162e-05,
|
2077 |
+
"loss": 2.1718,
|
2078 |
+
"step": 168500
|
2079 |
+
},
|
2080 |
+
{
|
2081 |
+
"epoch": 0.63,
|
2082 |
+
"learning_rate": 3.683954039235707e-05,
|
2083 |
+
"loss": 2.1766,
|
2084 |
+
"step": 169000
|
2085 |
+
},
|
2086 |
+
{
|
2087 |
+
"epoch": 0.63,
|
2088 |
+
"learning_rate": 3.6527766720435186e-05,
|
2089 |
+
"loss": 2.1838,
|
2090 |
+
"step": 169500
|
2091 |
+
},
|
2092 |
+
{
|
2093 |
+
"epoch": 0.63,
|
2094 |
+
"learning_rate": 3.6216556855413906e-05,
|
2095 |
+
"loss": 2.1786,
|
2096 |
+
"step": 170000
|
2097 |
+
},
|
2098 |
+
{
|
2099 |
+
"epoch": 0.63,
|
2100 |
+
"learning_rate": 3.5905923821286006e-05,
|
2101 |
+
"loss": 2.1748,
|
2102 |
+
"step": 170500
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 0.63,
|
2106 |
+
"learning_rate": 3.559588061790419e-05,
|
2107 |
+
"loss": 2.1708,
|
2108 |
+
"step": 171000
|
2109 |
+
},
|
2110 |
+
{
|
2111 |
+
"epoch": 0.64,
|
2112 |
+
"learning_rate": 3.528644022043701e-05,
|
2113 |
+
"loss": 2.1749,
|
2114 |
+
"step": 171500
|
2115 |
+
},
|
2116 |
+
{
|
2117 |
+
"epoch": 0.64,
|
2118 |
+
"learning_rate": 3.497761557882584e-05,
|
2119 |
+
"loss": 2.1668,
|
2120 |
+
"step": 172000
|
2121 |
+
},
|
2122 |
+
{
|
2123 |
+
"epoch": 0.64,
|
2124 |
+
"learning_rate": 3.466941961724301e-05,
|
2125 |
+
"loss": 2.1703,
|
2126 |
+
"step": 172500
|
2127 |
+
},
|
2128 |
+
{
|
2129 |
+
"epoch": 0.64,
|
2130 |
+
"learning_rate": 3.4361865233550814e-05,
|
2131 |
+
"loss": 2.1682,
|
2132 |
+
"step": 173000
|
2133 |
+
},
|
2134 |
+
{
|
2135 |
+
"epoch": 0.64,
|
2136 |
+
"learning_rate": 3.40549652987618e-05,
|
2137 |
+
"loss": 2.1705,
|
2138 |
+
"step": 173500
|
2139 |
+
},
|
2140 |
+
{
|
2141 |
+
"epoch": 0.64,
|
2142 |
+
"learning_rate": 3.374873265650016e-05,
|
2143 |
+
"loss": 2.1671,
|
2144 |
+
"step": 174000
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 0.65,
|
2148 |
+
"learning_rate": 3.3443180122464156e-05,
|
2149 |
+
"loss": 2.16,
|
2150 |
+
"step": 174500
|
2151 |
+
},
|
2152 |
+
{
|
2153 |
+
"epoch": 0.65,
|
2154 |
+
"learning_rate": 3.3138320483889874e-05,
|
2155 |
+
"loss": 2.1536,
|
2156 |
+
"step": 175000
|
2157 |
+
},
|
2158 |
+
{
|
2159 |
+
"epoch": 0.65,
|
2160 |
+
"eval_loss": 2.0123212337493896,
|
2161 |
+
"eval_runtime": 294.337,
|
2162 |
+
"eval_samples_per_second": 339.747,
|
2163 |
+
"eval_steps_per_second": 42.468,
|
2164 |
+
"step": 175000
|
2165 |
+
},
|
2166 |
+
{
|
2167 |
+
"epoch": 0.65,
|
2168 |
+
"learning_rate": 3.283416649901599e-05,
|
2169 |
+
"loss": 2.152,
|
2170 |
+
"step": 175500
|
2171 |
+
},
|
2172 |
+
{
|
2173 |
+
"epoch": 0.65,
|
2174 |
+
"learning_rate": 3.253073089654992e-05,
|
2175 |
+
"loss": 2.1519,
|
2176 |
+
"step": 176000
|
2177 |
+
},
|
2178 |
+
{
|
2179 |
+
"epoch": 0.65,
|
2180 |
+
"learning_rate": 3.222802637513508e-05,
|
2181 |
+
"loss": 2.1638,
|
2182 |
+
"step": 176500
|
2183 |
+
},
|
2184 |
+
{
|
2185 |
+
"epoch": 0.66,
|
2186 |
+
"learning_rate": 3.192606560281948e-05,
|
2187 |
+
"loss": 2.1527,
|
2188 |
+
"step": 177000
|
2189 |
+
},
|
2190 |
+
{
|
2191 |
+
"epoch": 0.66,
|
2192 |
+
"learning_rate": 3.162486121652556e-05,
|
2193 |
+
"loss": 2.1499,
|
2194 |
+
"step": 177500
|
2195 |
+
},
|
2196 |
+
{
|
2197 |
+
"epoch": 0.66,
|
2198 |
+
"learning_rate": 3.1324425821521375e-05,
|
2199 |
+
"loss": 2.1614,
|
2200 |
+
"step": 178000
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 0.66,
|
2204 |
+
"learning_rate": 3.1024771990893e-05,
|
2205 |
+
"loss": 2.1556,
|
2206 |
+
"step": 178500
|
2207 |
+
},
|
2208 |
+
{
|
2209 |
+
"epoch": 0.66,
|
2210 |
+
"learning_rate": 3.072591226501842e-05,
|
2211 |
+
"loss": 2.1514,
|
2212 |
+
"step": 179000
|
2213 |
+
},
|
2214 |
+
{
|
2215 |
+
"epoch": 0.67,
|
2216 |
+
"learning_rate": 3.042785915104267e-05,
|
2217 |
+
"loss": 2.1533,
|
2218 |
+
"step": 179500
|
2219 |
+
},
|
2220 |
+
{
|
2221 |
+
"epoch": 0.67,
|
2222 |
+
"learning_rate": 3.013062512235445e-05,
|
2223 |
+
"loss": 2.1413,
|
2224 |
+
"step": 180000
|
2225 |
+
},
|
2226 |
+
{
|
2227 |
+
"epoch": 0.67,
|
2228 |
+
"learning_rate": 2.9834222618064146e-05,
|
2229 |
+
"loss": 2.1461,
|
2230 |
+
"step": 180500
|
2231 |
+
},
|
2232 |
+
{
|
2233 |
+
"epoch": 0.67,
|
2234 |
+
"learning_rate": 2.9538664042483145e-05,
|
2235 |
+
"loss": 2.1475,
|
2236 |
+
"step": 181000
|
2237 |
+
},
|
2238 |
+
{
|
2239 |
+
"epoch": 0.67,
|
2240 |
+
"learning_rate": 2.9243961764604878e-05,
|
2241 |
+
"loss": 2.1452,
|
2242 |
+
"step": 181500
|
2243 |
+
},
|
2244 |
+
{
|
2245 |
+
"epoch": 0.67,
|
2246 |
+
"learning_rate": 2.895012811758705e-05,
|
2247 |
+
"loss": 2.1488,
|
2248 |
+
"step": 182000
|
2249 |
+
},
|
2250 |
+
{
|
2251 |
+
"epoch": 0.68,
|
2252 |
+
"learning_rate": 2.8657175398235548e-05,
|
2253 |
+
"loss": 2.1496,
|
2254 |
+
"step": 182500
|
2255 |
+
},
|
2256 |
+
{
|
2257 |
+
"epoch": 0.68,
|
2258 |
+
"learning_rate": 2.8365115866489895e-05,
|
2259 |
+
"loss": 2.1348,
|
2260 |
+
"step": 183000
|
2261 |
+
},
|
2262 |
+
{
|
2263 |
+
"epoch": 0.68,
|
2264 |
+
"learning_rate": 2.8073961744910036e-05,
|
2265 |
+
"loss": 2.1406,
|
2266 |
+
"step": 183500
|
2267 |
+
},
|
2268 |
+
{
|
2269 |
+
"epoch": 0.68,
|
2270 |
+
"learning_rate": 2.7783725218164992e-05,
|
2271 |
+
"loss": 2.1484,
|
2272 |
+
"step": 184000
|
2273 |
+
},
|
2274 |
+
{
|
2275 |
+
"epoch": 0.68,
|
2276 |
+
"learning_rate": 2.7494418432522773e-05,
|
2277 |
+
"loss": 2.1482,
|
2278 |
+
"step": 184500
|
2279 |
+
},
|
2280 |
+
{
|
2281 |
+
"epoch": 0.69,
|
2282 |
+
"learning_rate": 2.7206053495342176e-05,
|
2283 |
+
"loss": 2.1491,
|
2284 |
+
"step": 185000
|
2285 |
+
},
|
2286 |
+
{
|
2287 |
+
"epoch": 0.69,
|
2288 |
+
"learning_rate": 2.691864247456609e-05,
|
2289 |
+
"loss": 2.1316,
|
2290 |
+
"step": 185500
|
2291 |
+
},
|
2292 |
+
{
|
2293 |
+
"epoch": 0.69,
|
2294 |
+
"learning_rate": 2.6632197398216403e-05,
|
2295 |
+
"loss": 2.1459,
|
2296 |
+
"step": 186000
|
2297 |
+
},
|
2298 |
+
{
|
2299 |
+
"epoch": 0.69,
|
2300 |
+
"learning_rate": 2.6346730253890626e-05,
|
2301 |
+
"loss": 2.1308,
|
2302 |
+
"step": 186500
|
2303 |
+
},
|
2304 |
+
{
|
2305 |
+
"epoch": 0.69,
|
2306 |
+
"learning_rate": 2.6062252988260348e-05,
|
2307 |
+
"loss": 2.1389,
|
2308 |
+
"step": 187000
|
2309 |
+
},
|
2310 |
+
{
|
2311 |
+
"epoch": 0.69,
|
2312 |
+
"learning_rate": 2.5778777506571112e-05,
|
2313 |
+
"loss": 2.1374,
|
2314 |
+
"step": 187500
|
2315 |
+
},
|
2316 |
+
{
|
2317 |
+
"epoch": 0.7,
|
2318 |
+
"learning_rate": 2.5496315672144238e-05,
|
2319 |
+
"loss": 2.1322,
|
2320 |
+
"step": 188000
|
2321 |
+
},
|
2322 |
+
{
|
2323 |
+
"epoch": 0.7,
|
2324 |
+
"learning_rate": 2.521487930588044e-05,
|
2325 |
+
"loss": 2.1235,
|
2326 |
+
"step": 188500
|
2327 |
+
},
|
2328 |
+
{
|
2329 |
+
"epoch": 0.7,
|
2330 |
+
"learning_rate": 2.4934480185764976e-05,
|
2331 |
+
"loss": 2.1291,
|
2332 |
+
"step": 189000
|
2333 |
+
},
|
2334 |
+
{
|
2335 |
+
"epoch": 0.7,
|
2336 |
+
"learning_rate": 2.465513004637487e-05,
|
2337 |
+
"loss": 2.1366,
|
2338 |
+
"step": 189500
|
2339 |
+
},
|
2340 |
+
{
|
2341 |
+
"epoch": 0.7,
|
2342 |
+
"learning_rate": 2.4376840578387754e-05,
|
2343 |
+
"loss": 2.1256,
|
2344 |
+
"step": 190000
|
2345 |
+
},
|
2346 |
+
{
|
2347 |
+
"epoch": 0.71,
|
2348 |
+
"learning_rate": 2.409962342809261e-05,
|
2349 |
+
"loss": 2.1304,
|
2350 |
+
"step": 190500
|
2351 |
+
},
|
2352 |
+
{
|
2353 |
+
"epoch": 0.71,
|
2354 |
+
"learning_rate": 2.382349019690248e-05,
|
2355 |
+
"loss": 2.1229,
|
2356 |
+
"step": 191000
|
2357 |
+
},
|
2358 |
+
{
|
2359 |
+
"epoch": 0.71,
|
2360 |
+
"learning_rate": 2.3548452440868816e-05,
|
2361 |
+
"loss": 2.1268,
|
2362 |
+
"step": 191500
|
2363 |
+
},
|
2364 |
+
{
|
2365 |
+
"epoch": 0.71,
|
2366 |
+
"learning_rate": 2.3274521670197923e-05,
|
2367 |
+
"loss": 2.1278,
|
2368 |
+
"step": 192000
|
2369 |
+
},
|
2370 |
+
{
|
2371 |
+
"epoch": 0.71,
|
2372 |
+
"learning_rate": 2.300170934876934e-05,
|
2373 |
+
"loss": 2.1277,
|
2374 |
+
"step": 192500
|
2375 |
+
},
|
2376 |
+
{
|
2377 |
+
"epoch": 0.72,
|
2378 |
+
"learning_rate": 2.2730026893655916e-05,
|
2379 |
+
"loss": 2.1195,
|
2380 |
+
"step": 193000
|
2381 |
+
},
|
2382 |
+
{
|
2383 |
+
"epoch": 0.72,
|
2384 |
+
"learning_rate": 2.2459485674646187e-05,
|
2385 |
+
"loss": 2.1253,
|
2386 |
+
"step": 193500
|
2387 |
+
},
|
2388 |
+
{
|
2389 |
+
"epoch": 0.72,
|
2390 |
+
"learning_rate": 2.2190097013768403e-05,
|
2391 |
+
"loss": 2.1252,
|
2392 |
+
"step": 194000
|
2393 |
+
},
|
2394 |
+
{
|
2395 |
+
"epoch": 0.72,
|
2396 |
+
"learning_rate": 2.1921872184816817e-05,
|
2397 |
+
"loss": 2.1168,
|
2398 |
+
"step": 194500
|
2399 |
+
},
|
2400 |
+
{
|
2401 |
+
"epoch": 0.72,
|
2402 |
+
"learning_rate": 2.1654822412879798e-05,
|
2403 |
+
"loss": 2.1288,
|
2404 |
+
"step": 195000
|
2405 |
+
},
|
2406 |
+
{
|
2407 |
+
"epoch": 0.72,
|
2408 |
+
"learning_rate": 2.138895887387018e-05,
|
2409 |
+
"loss": 2.1195,
|
2410 |
+
"step": 195500
|
2411 |
+
},
|
2412 |
+
{
|
2413 |
+
"epoch": 0.73,
|
2414 |
+
"learning_rate": 2.112429269405739e-05,
|
2415 |
+
"loss": 2.1196,
|
2416 |
+
"step": 196000
|
2417 |
+
},
|
2418 |
+
{
|
2419 |
+
"epoch": 0.73,
|
2420 |
+
"learning_rate": 2.0860834949602015e-05,
|
2421 |
+
"loss": 2.1175,
|
2422 |
+
"step": 196500
|
2423 |
+
},
|
2424 |
+
{
|
2425 |
+
"epoch": 0.73,
|
2426 |
+
"learning_rate": 2.0598596666092075e-05,
|
2427 |
+
"loss": 2.1234,
|
2428 |
+
"step": 197000
|
2429 |
+
},
|
2430 |
+
{
|
2431 |
+
"epoch": 0.73,
|
2432 |
+
"learning_rate": 2.0337588818081744e-05,
|
2433 |
+
"loss": 2.1122,
|
2434 |
+
"step": 197500
|
2435 |
+
},
|
2436 |
+
{
|
2437 |
+
"epoch": 0.73,
|
2438 |
+
"learning_rate": 2.007782232863199e-05,
|
2439 |
+
"loss": 2.1185,
|
2440 |
+
"step": 198000
|
2441 |
+
},
|
2442 |
+
{
|
2443 |
+
"epoch": 0.74,
|
2444 |
+
"learning_rate": 1.9819308068853526e-05,
|
2445 |
+
"loss": 2.1201,
|
2446 |
+
"step": 198500
|
2447 |
+
},
|
2448 |
+
{
|
2449 |
+
"epoch": 0.74,
|
2450 |
+
"learning_rate": 1.956205685745183e-05,
|
2451 |
+
"loss": 2.1079,
|
2452 |
+
"step": 199000
|
2453 |
+
},
|
2454 |
+
{
|
2455 |
+
"epoch": 0.74,
|
2456 |
+
"learning_rate": 1.9306079460274302e-05,
|
2457 |
+
"loss": 2.1137,
|
2458 |
+
"step": 199500
|
2459 |
+
},
|
2460 |
+
{
|
2461 |
+
"epoch": 0.74,
|
2462 |
+
"learning_rate": 1.9051386589859843e-05,
|
2463 |
+
"loss": 2.114,
|
2464 |
+
"step": 200000
|
2465 |
+
},
|
2466 |
+
{
|
2467 |
+
"epoch": 0.74,
|
2468 |
+
"eval_loss": 1.9818874597549438,
|
2469 |
+
"eval_runtime": 287.1851,
|
2470 |
+
"eval_samples_per_second": 348.208,
|
2471 |
+
"eval_steps_per_second": 43.526,
|
2472 |
+
"step": 200000
|
2473 |
+
},
|
2474 |
+
{
|
2475 |
+
"epoch": 0.74,
|
2476 |
+
"learning_rate": 1.879798890499046e-05,
|
2477 |
+
"loss": 2.1094,
|
2478 |
+
"step": 200500
|
2479 |
+
},
|
2480 |
+
{
|
2481 |
+
"epoch": 0.75,
|
2482 |
+
"learning_rate": 1.8545897010245273e-05,
|
2483 |
+
"loss": 2.1185,
|
2484 |
+
"step": 201000
|
2485 |
+
},
|
2486 |
+
{
|
2487 |
+
"epoch": 0.75,
|
2488 |
+
"learning_rate": 1.8295121455556607e-05,
|
2489 |
+
"loss": 2.1187,
|
2490 |
+
"step": 201500
|
2491 |
+
},
|
2492 |
+
{
|
2493 |
+
"epoch": 0.75,
|
2494 |
+
"learning_rate": 1.8045672735768616e-05,
|
2495 |
+
"loss": 2.1096,
|
2496 |
+
"step": 202000
|
2497 |
+
},
|
2498 |
+
{
|
2499 |
+
"epoch": 0.75,
|
2500 |
+
"learning_rate": 1.7797561290197957e-05,
|
2501 |
+
"loss": 2.1058,
|
2502 |
+
"step": 202500
|
2503 |
+
},
|
2504 |
+
{
|
2505 |
+
"epoch": 0.75,
|
2506 |
+
"learning_rate": 1.755079750219699e-05,
|
2507 |
+
"loss": 2.1065,
|
2508 |
+
"step": 203000
|
2509 |
+
},
|
2510 |
+
{
|
2511 |
+
"epoch": 0.75,
|
2512 |
+
"learning_rate": 1.7305391698719187e-05,
|
2513 |
+
"loss": 2.104,
|
2514 |
+
"step": 203500
|
2515 |
+
},
|
2516 |
+
{
|
2517 |
+
"epoch": 0.76,
|
2518 |
+
"learning_rate": 1.706135414988701e-05,
|
2519 |
+
"loss": 2.1047,
|
2520 |
+
"step": 204000
|
2521 |
+
},
|
2522 |
+
{
|
2523 |
+
"epoch": 0.76,
|
2524 |
+
"learning_rate": 1.6818695068562084e-05,
|
2525 |
+
"loss": 2.1033,
|
2526 |
+
"step": 204500
|
2527 |
+
},
|
2528 |
+
{
|
2529 |
+
"epoch": 0.76,
|
2530 |
+
"learning_rate": 1.6577424609917756e-05,
|
2531 |
+
"loss": 2.1106,
|
2532 |
+
"step": 205000
|
2533 |
+
},
|
2534 |
+
{
|
2535 |
+
"epoch": 0.76,
|
2536 |
+
"learning_rate": 1.633755287101416e-05,
|
2537 |
+
"loss": 2.1068,
|
2538 |
+
"step": 205500
|
2539 |
+
},
|
2540 |
+
{
|
2541 |
+
"epoch": 0.76,
|
2542 |
+
"learning_rate": 1.6099089890375623e-05,
|
2543 |
+
"loss": 2.1013,
|
2544 |
+
"step": 206000
|
2545 |
+
},
|
2546 |
+
{
|
2547 |
+
"epoch": 0.77,
|
2548 |
+
"learning_rate": 1.5862045647570574e-05,
|
2549 |
+
"loss": 2.1019,
|
2550 |
+
"step": 206500
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 0.77,
|
2554 |
+
"learning_rate": 1.562643006279392e-05,
|
2555 |
+
"loss": 2.0999,
|
2556 |
+
"step": 207000
|
2557 |
+
},
|
2558 |
+
{
|
2559 |
+
"epoch": 0.77,
|
2560 |
+
"learning_rate": 1.5392252996451884e-05,
|
2561 |
+
"loss": 2.1059,
|
2562 |
+
"step": 207500
|
2563 |
+
},
|
2564 |
+
{
|
2565 |
+
"epoch": 0.77,
|
2566 |
+
"learning_rate": 1.5159524248749296e-05,
|
2567 |
+
"loss": 2.1054,
|
2568 |
+
"step": 208000
|
2569 |
+
},
|
2570 |
+
{
|
2571 |
+
"epoch": 0.77,
|
2572 |
+
"learning_rate": 1.4928253559279532e-05,
|
2573 |
+
"loss": 2.1043,
|
2574 |
+
"step": 208500
|
2575 |
+
},
|
2576 |
+
{
|
2577 |
+
"epoch": 0.77,
|
2578 |
+
"learning_rate": 1.469845060661686e-05,
|
2579 |
+
"loss": 2.105,
|
2580 |
+
"step": 209000
|
2581 |
+
},
|
2582 |
+
{
|
2583 |
+
"epoch": 0.78,
|
2584 |
+
"learning_rate": 1.4470125007911478e-05,
|
2585 |
+
"loss": 2.1091,
|
2586 |
+
"step": 209500
|
2587 |
+
},
|
2588 |
+
{
|
2589 |
+
"epoch": 0.78,
|
2590 |
+
"learning_rate": 1.4243286318486915e-05,
|
2591 |
+
"loss": 2.101,
|
2592 |
+
"step": 210000
|
2593 |
+
},
|
2594 |
+
{
|
2595 |
+
"epoch": 0.78,
|
2596 |
+
"learning_rate": 1.4017944031440283e-05,
|
2597 |
+
"loss": 2.1054,
|
2598 |
+
"step": 210500
|
2599 |
+
},
|
2600 |
+
{
|
2601 |
+
"epoch": 0.78,
|
2602 |
+
"learning_rate": 1.3794107577244886e-05,
|
2603 |
+
"loss": 2.0959,
|
2604 |
+
"step": 211000
|
2605 |
+
},
|
2606 |
+
{
|
2607 |
+
"epoch": 0.78,
|
2608 |
+
"learning_rate": 1.3571786323355596e-05,
|
2609 |
+
"loss": 2.0913,
|
2610 |
+
"step": 211500
|
2611 |
+
},
|
2612 |
+
{
|
2613 |
+
"epoch": 0.79,
|
2614 |
+
"learning_rate": 1.335098957381687e-05,
|
2615 |
+
"loss": 2.0924,
|
2616 |
+
"step": 212000
|
2617 |
+
},
|
2618 |
+
{
|
2619 |
+
"epoch": 0.79,
|
2620 |
+
"learning_rate": 1.3131726568873315e-05,
|
2621 |
+
"loss": 2.0939,
|
2622 |
+
"step": 212500
|
2623 |
+
},
|
2624 |
+
{
|
2625 |
+
"epoch": 0.79,
|
2626 |
+
"learning_rate": 1.2914006484583013e-05,
|
2627 |
+
"loss": 2.0917,
|
2628 |
+
"step": 213000
|
2629 |
+
},
|
2630 |
+
{
|
2631 |
+
"epoch": 0.79,
|
2632 |
+
"learning_rate": 1.2697838432433545e-05,
|
2633 |
+
"loss": 2.0899,
|
2634 |
+
"step": 213500
|
2635 |
+
},
|
2636 |
+
{
|
2637 |
+
"epoch": 0.79,
|
2638 |
+
"learning_rate": 1.2483231458960599e-05,
|
2639 |
+
"loss": 2.0961,
|
2640 |
+
"step": 214000
|
2641 |
+
},
|
2642 |
+
{
|
2643 |
+
"epoch": 0.8,
|
2644 |
+
"learning_rate": 1.2270194545369473e-05,
|
2645 |
+
"loss": 2.0955,
|
2646 |
+
"step": 214500
|
2647 |
+
},
|
2648 |
+
{
|
2649 |
+
"epoch": 0.8,
|
2650 |
+
"learning_rate": 1.2058736607159133e-05,
|
2651 |
+
"loss": 2.0848,
|
2652 |
+
"step": 215000
|
2653 |
+
},
|
2654 |
+
{
|
2655 |
+
"epoch": 0.8,
|
2656 |
+
"learning_rate": 1.1848866493749111e-05,
|
2657 |
+
"loss": 2.0841,
|
2658 |
+
"step": 215500
|
2659 |
+
},
|
2660 |
+
{
|
2661 |
+
"epoch": 0.8,
|
2662 |
+
"learning_rate": 1.1640592988109261e-05,
|
2663 |
+
"loss": 2.088,
|
2664 |
+
"step": 216000
|
2665 |
+
},
|
2666 |
+
{
|
2667 |
+
"epoch": 0.8,
|
2668 |
+
"learning_rate": 1.1433924806392054e-05,
|
2669 |
+
"loss": 2.092,
|
2670 |
+
"step": 216500
|
2671 |
+
},
|
2672 |
+
{
|
2673 |
+
"epoch": 0.8,
|
2674 |
+
"learning_rate": 1.1228870597567887e-05,
|
2675 |
+
"loss": 2.0807,
|
2676 |
+
"step": 217000
|
2677 |
+
},
|
2678 |
+
{
|
2679 |
+
"epoch": 0.81,
|
2680 |
+
"learning_rate": 1.102543894306316e-05,
|
2681 |
+
"loss": 2.0881,
|
2682 |
+
"step": 217500
|
2683 |
+
},
|
2684 |
+
{
|
2685 |
+
"epoch": 0.81,
|
2686 |
+
"learning_rate": 1.0823638356401056e-05,
|
2687 |
+
"loss": 2.084,
|
2688 |
+
"step": 218000
|
2689 |
+
},
|
2690 |
+
{
|
2691 |
+
"epoch": 0.81,
|
2692 |
+
"learning_rate": 1.0623477282845312e-05,
|
2693 |
+
"loss": 2.0816,
|
2694 |
+
"step": 218500
|
2695 |
+
},
|
2696 |
+
{
|
2697 |
+
"epoch": 0.81,
|
2698 |
+
"learning_rate": 1.0424964099046813e-05,
|
2699 |
+
"loss": 2.0868,
|
2700 |
+
"step": 219000
|
2701 |
+
},
|
2702 |
+
{
|
2703 |
+
"epoch": 0.81,
|
2704 |
+
"learning_rate": 1.0228107112692953e-05,
|
2705 |
+
"loss": 2.0883,
|
2706 |
+
"step": 219500
|
2707 |
+
},
|
2708 |
+
{
|
2709 |
+
"epoch": 0.82,
|
2710 |
+
"learning_rate": 1.0032914562160051e-05,
|
2711 |
+
"loss": 2.0836,
|
2712 |
+
"step": 220000
|
2713 |
+
},
|
2714 |
+
{
|
2715 |
+
"epoch": 0.82,
|
2716 |
+
"learning_rate": 9.839394616168506e-06,
|
2717 |
+
"loss": 2.0877,
|
2718 |
+
"step": 220500
|
2719 |
+
},
|
2720 |
+
{
|
2721 |
+
"epoch": 0.82,
|
2722 |
+
"learning_rate": 9.647555373440976e-06,
|
2723 |
+
"loss": 2.082,
|
2724 |
+
"step": 221000
|
2725 |
+
},
|
2726 |
+
{
|
2727 |
+
"epoch": 0.82,
|
2728 |
+
"learning_rate": 9.457404862363428e-06,
|
2729 |
+
"loss": 2.0798,
|
2730 |
+
"step": 221500
|
2731 |
+
},
|
2732 |
+
{
|
2733 |
+
"epoch": 0.82,
|
2734 |
+
"learning_rate": 9.26895104064921e-06,
|
2735 |
+
"loss": 2.0855,
|
2736 |
+
"step": 222000
|
2737 |
+
},
|
2738 |
+
{
|
2739 |
+
"epoch": 0.82,
|
2740 |
+
"learning_rate": 9.082201795005968e-06,
|
2741 |
+
"loss": 2.0892,
|
2742 |
+
"step": 222500
|
2743 |
+
},
|
2744 |
+
{
|
2745 |
+
"epoch": 0.83,
|
2746 |
+
"learning_rate": 8.897164940805591e-06,
|
2747 |
+
"loss": 2.0816,
|
2748 |
+
"step": 223000
|
2749 |
+
},
|
2750 |
+
{
|
2751 |
+
"epoch": 0.83,
|
2752 |
+
"learning_rate": 8.71384822175716e-06,
|
2753 |
+
"loss": 2.0886,
|
2754 |
+
"step": 223500
|
2755 |
+
},
|
2756 |
+
{
|
2757 |
+
"epoch": 0.83,
|
2758 |
+
"learning_rate": 8.532259309582886e-06,
|
2759 |
+
"loss": 2.0848,
|
2760 |
+
"step": 224000
|
2761 |
+
},
|
2762 |
+
{
|
2763 |
+
"epoch": 0.83,
|
2764 |
+
"learning_rate": 8.35240580369701e-06,
|
2765 |
+
"loss": 2.0806,
|
2766 |
+
"step": 224500
|
2767 |
+
},
|
2768 |
+
{
|
2769 |
+
"epoch": 0.83,
|
2770 |
+
"learning_rate": 8.174295230887846e-06,
|
2771 |
+
"loss": 2.0845,
|
2772 |
+
"step": 225000
|
2773 |
+
},
|
2774 |
+
{
|
2775 |
+
"epoch": 0.83,
|
2776 |
+
"eval_loss": 1.9471186399459839,
|
2777 |
+
"eval_runtime": 284.8288,
|
2778 |
+
"eval_samples_per_second": 351.088,
|
2779 |
+
"eval_steps_per_second": 43.886,
|
2780 |
+
"step": 225000
|
2781 |
+
},
|
2782 |
+
{
|
2783 |
+
"epoch": 0.84,
|
2784 |
+
"learning_rate": 7.997935045002724e-06,
|
2785 |
+
"loss": 2.0879,
|
2786 |
+
"step": 225500
|
2787 |
+
},
|
2788 |
+
{
|
2789 |
+
"epoch": 0.84,
|
2790 |
+
"learning_rate": 7.823332626636065e-06,
|
2791 |
+
"loss": 2.0804,
|
2792 |
+
"step": 226000
|
2793 |
+
},
|
2794 |
+
{
|
2795 |
+
"epoch": 0.84,
|
2796 |
+
"learning_rate": 7.650495282820502e-06,
|
2797 |
+
"loss": 2.0835,
|
2798 |
+
"step": 226500
|
2799 |
+
},
|
2800 |
+
{
|
2801 |
+
"epoch": 0.84,
|
2802 |
+
"learning_rate": 7.479430246721092e-06,
|
2803 |
+
"loss": 2.0834,
|
2804 |
+
"step": 227000
|
2805 |
+
},
|
2806 |
+
{
|
2807 |
+
"epoch": 0.84,
|
2808 |
+
"learning_rate": 7.310144677332631e-06,
|
2809 |
+
"loss": 2.0755,
|
2810 |
+
"step": 227500
|
2811 |
+
},
|
2812 |
+
{
|
2813 |
+
"epoch": 0.85,
|
2814 |
+
"learning_rate": 7.142645659180036e-06,
|
2815 |
+
"loss": 2.0744,
|
2816 |
+
"step": 228000
|
2817 |
+
},
|
2818 |
+
{
|
2819 |
+
"epoch": 0.85,
|
2820 |
+
"learning_rate": 6.9769402020218314e-06,
|
2821 |
+
"loss": 2.073,
|
2822 |
+
"step": 228500
|
2823 |
+
},
|
2824 |
+
{
|
2825 |
+
"epoch": 0.85,
|
2826 |
+
"learning_rate": 6.813035240556842e-06,
|
2827 |
+
"loss": 2.075,
|
2828 |
+
"step": 229000
|
2829 |
+
},
|
2830 |
+
{
|
2831 |
+
"epoch": 0.85,
|
2832 |
+
"learning_rate": 6.650937634133952e-06,
|
2833 |
+
"loss": 2.0767,
|
2834 |
+
"step": 229500
|
2835 |
+
},
|
2836 |
+
{
|
2837 |
+
"epoch": 0.85,
|
2838 |
+
"learning_rate": 6.4906541664650325e-06,
|
2839 |
+
"loss": 2.0683,
|
2840 |
+
"step": 230000
|
2841 |
+
},
|
2842 |
+
{
|
2843 |
+
"epoch": 0.85,
|
2844 |
+
"learning_rate": 6.332191545341093e-06,
|
2845 |
+
"loss": 2.0783,
|
2846 |
+
"step": 230500
|
2847 |
+
},
|
2848 |
+
{
|
2849 |
+
"epoch": 0.86,
|
2850 |
+
"learning_rate": 6.175556402351546e-06,
|
2851 |
+
"loss": 2.0665,
|
2852 |
+
"step": 231000
|
2853 |
+
},
|
2854 |
+
{
|
2855 |
+
"epoch": 0.86,
|
2856 |
+
"learning_rate": 6.020755292606617e-06,
|
2857 |
+
"loss": 2.0818,
|
2858 |
+
"step": 231500
|
2859 |
+
},
|
2860 |
+
{
|
2861 |
+
"epoch": 0.86,
|
2862 |
+
"learning_rate": 5.867794694463102e-06,
|
2863 |
+
"loss": 2.0693,
|
2864 |
+
"step": 232000
|
2865 |
+
},
|
2866 |
+
{
|
2867 |
+
"epoch": 0.86,
|
2868 |
+
"learning_rate": 5.716681009253189e-06,
|
2869 |
+
"loss": 2.0705,
|
2870 |
+
"step": 232500
|
2871 |
+
},
|
2872 |
+
{
|
2873 |
+
"epoch": 0.86,
|
2874 |
+
"learning_rate": 5.567420561016629e-06,
|
2875 |
+
"loss": 2.0818,
|
2876 |
+
"step": 233000
|
2877 |
+
},
|
2878 |
+
{
|
2879 |
+
"epoch": 0.87,
|
2880 |
+
"learning_rate": 5.420019596236003e-06,
|
2881 |
+
"loss": 2.0723,
|
2882 |
+
"step": 233500
|
2883 |
+
},
|
2884 |
+
{
|
2885 |
+
"epoch": 0.87,
|
2886 |
+
"learning_rate": 5.274484283575371e-06,
|
2887 |
+
"loss": 2.0833,
|
2888 |
+
"step": 234000
|
2889 |
+
},
|
2890 |
+
{
|
2891 |
+
"epoch": 0.87,
|
2892 |
+
"learning_rate": 5.1308207136220755e-06,
|
2893 |
+
"loss": 2.0764,
|
2894 |
+
"step": 234500
|
2895 |
+
},
|
2896 |
+
{
|
2897 |
+
"epoch": 0.87,
|
2898 |
+
"learning_rate": 4.989034898631872e-06,
|
2899 |
+
"loss": 2.0724,
|
2900 |
+
"step": 235000
|
2901 |
+
},
|
2902 |
+
{
|
2903 |
+
"epoch": 0.87,
|
2904 |
+
"learning_rate": 4.84913277227731e-06,
|
2905 |
+
"loss": 2.0718,
|
2906 |
+
"step": 235500
|
2907 |
+
},
|
2908 |
+
{
|
2909 |
+
"epoch": 0.87,
|
2910 |
+
"learning_rate": 4.711120189399443e-06,
|
2911 |
+
"loss": 2.0752,
|
2912 |
+
"step": 236000
|
2913 |
+
},
|
2914 |
+
{
|
2915 |
+
"epoch": 0.88,
|
2916 |
+
"learning_rate": 4.575002925762739e-06,
|
2917 |
+
"loss": 2.0718,
|
2918 |
+
"step": 236500
|
2919 |
+
},
|
2920 |
+
{
|
2921 |
+
"epoch": 0.88,
|
2922 |
+
"learning_rate": 4.440786677813458e-06,
|
2923 |
+
"loss": 2.0747,
|
2924 |
+
"step": 237000
|
2925 |
+
},
|
2926 |
+
{
|
2927 |
+
"epoch": 0.88,
|
2928 |
+
"learning_rate": 4.308477062441168e-06,
|
2929 |
+
"loss": 2.0714,
|
2930 |
+
"step": 237500
|
2931 |
+
},
|
2932 |
+
{
|
2933 |
+
"epoch": 0.88,
|
2934 |
+
"learning_rate": 4.17807961674373e-06,
|
2935 |
+
"loss": 2.0652,
|
2936 |
+
"step": 238000
|
2937 |
+
},
|
2938 |
+
{
|
2939 |
+
"epoch": 0.88,
|
2940 |
+
"learning_rate": 4.049599797795589e-06,
|
2941 |
+
"loss": 2.0726,
|
2942 |
+
"step": 238500
|
2943 |
+
},
|
2944 |
+
{
|
2945 |
+
"epoch": 0.89,
|
2946 |
+
"learning_rate": 3.923042982419334e-06,
|
2947 |
+
"loss": 2.0692,
|
2948 |
+
"step": 239000
|
2949 |
+
},
|
2950 |
+
{
|
2951 |
+
"epoch": 0.89,
|
2952 |
+
"learning_rate": 3.798414466960759e-06,
|
2953 |
+
"loss": 2.076,
|
2954 |
+
"step": 239500
|
2955 |
+
},
|
2956 |
+
{
|
2957 |
+
"epoch": 0.89,
|
2958 |
+
"learning_rate": 3.6757194670671513e-06,
|
2959 |
+
"loss": 2.0695,
|
2960 |
+
"step": 240000
|
2961 |
+
},
|
2962 |
+
{
|
2963 |
+
"epoch": 0.89,
|
2964 |
+
"learning_rate": 3.55496311746904e-06,
|
2965 |
+
"loss": 2.066,
|
2966 |
+
"step": 240500
|
2967 |
+
},
|
2968 |
+
{
|
2969 |
+
"epoch": 0.89,
|
2970 |
+
"learning_rate": 3.436150471765326e-06,
|
2971 |
+
"loss": 2.0671,
|
2972 |
+
"step": 241000
|
2973 |
+
},
|
2974 |
+
{
|
2975 |
+
"epoch": 0.9,
|
2976 |
+
"learning_rate": 3.319286502211766e-06,
|
2977 |
+
"loss": 2.0682,
|
2978 |
+
"step": 241500
|
2979 |
+
},
|
2980 |
+
{
|
2981 |
+
"epoch": 0.9,
|
2982 |
+
"learning_rate": 3.2043760995128903e-06,
|
2983 |
+
"loss": 2.0716,
|
2984 |
+
"step": 242000
|
2985 |
+
},
|
2986 |
+
{
|
2987 |
+
"epoch": 0.9,
|
2988 |
+
"learning_rate": 3.091424072617366e-06,
|
2989 |
+
"loss": 2.0684,
|
2990 |
+
"step": 242500
|
2991 |
+
},
|
2992 |
+
{
|
2993 |
+
"epoch": 0.9,
|
2994 |
+
"learning_rate": 2.9804351485166747e-06,
|
2995 |
+
"loss": 2.0631,
|
2996 |
+
"step": 243000
|
2997 |
+
},
|
2998 |
+
{
|
2999 |
+
"epoch": 0.9,
|
3000 |
+
"learning_rate": 2.8714139720473597e-06,
|
3001 |
+
"loss": 2.0686,
|
3002 |
+
"step": 243500
|
3003 |
+
},
|
3004 |
+
{
|
3005 |
+
"epoch": 0.9,
|
3006 |
+
"learning_rate": 2.7643651056965924e-06,
|
3007 |
+
"loss": 2.0651,
|
3008 |
+
"step": 244000
|
3009 |
+
},
|
3010 |
+
{
|
3011 |
+
"epoch": 0.91,
|
3012 |
+
"learning_rate": 2.659293029411264e-06,
|
3013 |
+
"loss": 2.0695,
|
3014 |
+
"step": 244500
|
3015 |
+
},
|
3016 |
+
{
|
3017 |
+
"epoch": 0.91,
|
3018 |
+
"learning_rate": 2.556202140410474e-06,
|
3019 |
+
"loss": 2.0704,
|
3020 |
+
"step": 245000
|
3021 |
+
},
|
3022 |
+
{
|
3023 |
+
"epoch": 0.91,
|
3024 |
+
"learning_rate": 2.4550967530015623e-06,
|
3025 |
+
"loss": 2.0668,
|
3026 |
+
"step": 245500
|
3027 |
+
},
|
3028 |
+
{
|
3029 |
+
"epoch": 0.91,
|
3030 |
+
"learning_rate": 2.3559810983994732e-06,
|
3031 |
+
"loss": 2.0656,
|
3032 |
+
"step": 246000
|
3033 |
+
},
|
3034 |
+
{
|
3035 |
+
"epoch": 0.91,
|
3036 |
+
"learning_rate": 2.258859324549778e-06,
|
3037 |
+
"loss": 2.0691,
|
3038 |
+
"step": 246500
|
3039 |
+
},
|
3040 |
+
{
|
3041 |
+
"epoch": 0.92,
|
3042 |
+
"learning_rate": 2.1637354959549884e-06,
|
3043 |
+
"loss": 2.0589,
|
3044 |
+
"step": 247000
|
3045 |
+
},
|
3046 |
+
{
|
3047 |
+
"epoch": 0.92,
|
3048 |
+
"learning_rate": 2.0706135935045333e-06,
|
3049 |
+
"loss": 2.067,
|
3050 |
+
"step": 247500
|
3051 |
+
},
|
3052 |
+
{
|
3053 |
+
"epoch": 0.92,
|
3054 |
+
"learning_rate": 1.9794975143081264e-06,
|
3055 |
+
"loss": 2.0654,
|
3056 |
+
"step": 248000
|
3057 |
+
},
|
3058 |
+
{
|
3059 |
+
"epoch": 0.92,
|
3060 |
+
"learning_rate": 1.8903910715326823e-06,
|
3061 |
+
"loss": 2.0635,
|
3062 |
+
"step": 248500
|
3063 |
+
},
|
3064 |
+
{
|
3065 |
+
"epoch": 0.92,
|
3066 |
+
"learning_rate": 1.8032979942427475e-06,
|
3067 |
+
"loss": 2.0673,
|
3068 |
+
"step": 249000
|
3069 |
+
},
|
3070 |
+
{
|
3071 |
+
"epoch": 0.92,
|
3072 |
+
"learning_rate": 1.7182219272444011e-06,
|
3073 |
+
"loss": 2.0662,
|
3074 |
+
"step": 249500
|
3075 |
+
},
|
3076 |
+
{
|
3077 |
+
"epoch": 0.93,
|
3078 |
+
"learning_rate": 1.635166430932772e-06,
|
3079 |
+
"loss": 2.0697,
|
3080 |
+
"step": 250000
|
3081 |
+
},
|
3082 |
+
{
|
3083 |
+
"epoch": 0.93,
|
3084 |
+
"eval_loss": 1.9344754219055176,
|
3085 |
+
"eval_runtime": 284.7729,
|
3086 |
+
"eval_samples_per_second": 351.157,
|
3087 |
+
"eval_steps_per_second": 43.895,
|
3088 |
+
"step": 250000
|
3089 |
+
},
|
3090 |
+
{
|
3091 |
+
"epoch": 0.93,
|
3092 |
+
"learning_rate": 1.5541349811430016e-06,
|
3093 |
+
"loss": 2.061,
|
3094 |
+
"step": 250500
|
3095 |
+
},
|
3096 |
+
{
|
3097 |
+
"epoch": 0.93,
|
3098 |
+
"learning_rate": 1.475130969004812e-06,
|
3099 |
+
"loss": 2.0696,
|
3100 |
+
"step": 251000
|
3101 |
+
},
|
3102 |
+
{
|
3103 |
+
"epoch": 0.93,
|
3104 |
+
"learning_rate": 1.3981577008005563e-06,
|
3105 |
+
"loss": 2.0691,
|
3106 |
+
"step": 251500
|
3107 |
+
},
|
3108 |
+
{
|
3109 |
+
"epoch": 0.93,
|
3110 |
+
"learning_rate": 1.3232183978268698e-06,
|
3111 |
+
"loss": 2.0622,
|
3112 |
+
"step": 252000
|
3113 |
+
},
|
3114 |
+
{
|
3115 |
+
"epoch": 0.94,
|
3116 |
+
"learning_rate": 1.2503161962598653e-06,
|
3117 |
+
"loss": 2.0714,
|
3118 |
+
"step": 252500
|
3119 |
+
},
|
3120 |
+
{
|
3121 |
+
"epoch": 0.94,
|
3122 |
+
"learning_rate": 1.1794541470238729e-06,
|
3123 |
+
"loss": 2.0664,
|
3124 |
+
"step": 253000
|
3125 |
+
},
|
3126 |
+
{
|
3127 |
+
"epoch": 0.94,
|
3128 |
+
"learning_rate": 1.1106352156637633e-06,
|
3129 |
+
"loss": 2.0606,
|
3130 |
+
"step": 253500
|
3131 |
+
},
|
3132 |
+
{
|
3133 |
+
"epoch": 0.94,
|
3134 |
+
"learning_rate": 1.0438622822208478e-06,
|
3135 |
+
"loss": 2.0645,
|
3136 |
+
"step": 254000
|
3137 |
+
},
|
3138 |
+
{
|
3139 |
+
"epoch": 0.94,
|
3140 |
+
"learning_rate": 9.791381411123513e-07,
|
3141 |
+
"loss": 2.0724,
|
3142 |
+
"step": 254500
|
3143 |
+
},
|
3144 |
+
{
|
3145 |
+
"epoch": 0.95,
|
3146 |
+
"learning_rate": 9.164655010144518e-07,
|
3147 |
+
"loss": 2.0629,
|
3148 |
+
"step": 255000
|
3149 |
+
},
|
3150 |
+
{
|
3151 |
+
"epoch": 0.95,
|
3152 |
+
"learning_rate": 8.558469847489314e-07,
|
3153 |
+
"loss": 2.0688,
|
3154 |
+
"step": 255500
|
3155 |
+
},
|
3156 |
+
{
|
3157 |
+
"epoch": 0.95,
|
3158 |
+
"learning_rate": 7.972851291734252e-07,
|
3159 |
+
"loss": 2.0566,
|
3160 |
+
"step": 256000
|
3161 |
+
},
|
3162 |
+
{
|
3163 |
+
"epoch": 0.95,
|
3164 |
+
"learning_rate": 7.407823850752338e-07,
|
3165 |
+
"loss": 2.0689,
|
3166 |
+
"step": 256500
|
3167 |
+
},
|
3168 |
+
{
|
3169 |
+
"epoch": 0.95,
|
3170 |
+
"learning_rate": 6.863411170687673e-07,
|
3171 |
+
"loss": 2.071,
|
3172 |
+
"step": 257000
|
3173 |
+
},
|
3174 |
+
{
|
3175 |
+
"epoch": 0.95,
|
3176 |
+
"learning_rate": 6.339636034966123e-07,
|
3177 |
+
"loss": 2.0665,
|
3178 |
+
"step": 257500
|
3179 |
+
},
|
3180 |
+
{
|
3181 |
+
"epoch": 0.96,
|
3182 |
+
"learning_rate": 5.836520363341258e-07,
|
3183 |
+
"loss": 2.0606,
|
3184 |
+
"step": 258000
|
3185 |
+
},
|
3186 |
+
{
|
3187 |
+
"epoch": 0.96,
|
3188 |
+
"learning_rate": 5.354085210977633e-07,
|
3189 |
+
"loss": 2.0646,
|
3190 |
+
"step": 258500
|
3191 |
+
},
|
3192 |
+
{
|
3193 |
+
"epoch": 0.96,
|
3194 |
+
"learning_rate": 4.892350767569276e-07,
|
3195 |
+
"loss": 2.0663,
|
3196 |
+
"step": 259000
|
3197 |
+
},
|
3198 |
+
{
|
3199 |
+
"epoch": 0.96,
|
3200 |
+
"learning_rate": 4.451336356494862e-07,
|
3201 |
+
"loss": 2.0683,
|
3202 |
+
"step": 259500
|
3203 |
+
},
|
3204 |
+
{
|
3205 |
+
"epoch": 0.96,
|
3206 |
+
"learning_rate": 4.031060434009026e-07,
|
3207 |
+
"loss": 2.0595,
|
3208 |
+
"step": 260000
|
3209 |
+
},
|
3210 |
+
{
|
3211 |
+
"epoch": 0.97,
|
3212 |
+
"learning_rate": 3.631540588470039e-07,
|
3213 |
+
"loss": 2.0691,
|
3214 |
+
"step": 260500
|
3215 |
+
},
|
3216 |
+
{
|
3217 |
+
"epoch": 0.97,
|
3218 |
+
"learning_rate": 3.252793539603671e-07,
|
3219 |
+
"loss": 2.0651,
|
3220 |
+
"step": 261000
|
3221 |
+
},
|
3222 |
+
{
|
3223 |
+
"epoch": 0.97,
|
3224 |
+
"learning_rate": 2.8948351378034753e-07,
|
3225 |
+
"loss": 2.0611,
|
3226 |
+
"step": 261500
|
3227 |
+
},
|
3228 |
+
{
|
3229 |
+
"epoch": 0.97,
|
3230 |
+
"learning_rate": 2.557680363467485e-07,
|
3231 |
+
"loss": 2.0733,
|
3232 |
+
"step": 262000
|
3233 |
+
},
|
3234 |
+
{
|
3235 |
+
"epoch": 0.97,
|
3236 |
+
"learning_rate": 2.2413433263713257e-07,
|
3237 |
+
"loss": 2.0591,
|
3238 |
+
"step": 262500
|
3239 |
+
},
|
3240 |
+
{
|
3241 |
+
"epoch": 0.97,
|
3242 |
+
"learning_rate": 1.9458372650776325e-07,
|
3243 |
+
"loss": 2.0626,
|
3244 |
+
"step": 263000
|
3245 |
+
},
|
3246 |
+
{
|
3247 |
+
"epoch": 0.98,
|
3248 |
+
"learning_rate": 1.6711745463821593e-07,
|
3249 |
+
"loss": 2.0669,
|
3250 |
+
"step": 263500
|
3251 |
+
},
|
3252 |
+
{
|
3253 |
+
"epoch": 0.98,
|
3254 |
+
"learning_rate": 1.4173666647959715e-07,
|
3255 |
+
"loss": 2.0701,
|
3256 |
+
"step": 264000
|
3257 |
+
},
|
3258 |
+
{
|
3259 |
+
"epoch": 0.98,
|
3260 |
+
"learning_rate": 1.1844242420647745e-07,
|
3261 |
+
"loss": 2.0679,
|
3262 |
+
"step": 264500
|
3263 |
+
},
|
3264 |
+
{
|
3265 |
+
"epoch": 0.98,
|
3266 |
+
"learning_rate": 9.723570267241577e-08,
|
3267 |
+
"loss": 2.0679,
|
3268 |
+
"step": 265000
|
3269 |
+
},
|
3270 |
+
{
|
3271 |
+
"epoch": 0.98,
|
3272 |
+
"learning_rate": 7.811738936916447e-08,
|
3273 |
+
"loss": 2.0643,
|
3274 |
+
"step": 265500
|
3275 |
+
},
|
3276 |
+
{
|
3277 |
+
"epoch": 0.99,
|
3278 |
+
"learning_rate": 6.108828438952663e-08,
|
3279 |
+
"loss": 2.0615,
|
3280 |
+
"step": 266000
|
3281 |
+
},
|
3282 |
+
{
|
3283 |
+
"epoch": 0.99,
|
3284 |
+
"learning_rate": 4.614910039389409e-08,
|
3285 |
+
"loss": 2.0511,
|
3286 |
+
"step": 266500
|
3287 |
+
},
|
3288 |
+
{
|
3289 |
+
"epoch": 0.99,
|
3290 |
+
"learning_rate": 3.3300462580387884e-08,
|
3291 |
+
"loss": 2.0594,
|
3292 |
+
"step": 267000
|
3293 |
+
},
|
3294 |
+
{
|
3295 |
+
"epoch": 0.99,
|
3296 |
+
"learning_rate": 2.254290865871811e-08,
|
3297 |
+
"loss": 2.0665,
|
3298 |
+
"step": 267500
|
3299 |
+
},
|
3300 |
+
{
|
3301 |
+
"epoch": 0.99,
|
3302 |
+
"learning_rate": 1.3876888827679679e-08,
|
3303 |
+
"loss": 2.0572,
|
3304 |
+
"step": 268000
|
3305 |
+
},
|
3306 |
+
{
|
3307 |
+
"epoch": 1.0,
|
3308 |
+
"learning_rate": 7.302765756300733e-09,
|
3309 |
+
"loss": 2.0682,
|
3310 |
+
"step": 268500
|
3311 |
+
},
|
3312 |
+
{
|
3313 |
+
"epoch": 1.0,
|
3314 |
+
"learning_rate": 2.820814568671448e-09,
|
3315 |
+
"loss": 2.0611,
|
3316 |
+
"step": 269000
|
3317 |
+
},
|
3318 |
+
{
|
3319 |
+
"epoch": 1.0,
|
3320 |
+
"learning_rate": 4.31222832436573e-10,
|
3321 |
+
"loss": 2.0658,
|
3322 |
+
"step": 269500
|
3323 |
+
},
|
3324 |
+
{
|
3325 |
+
"epoch": 1.0,
|
3326 |
+
"step": 269794,
|
3327 |
+
"total_flos": 7.264837577610363e+18,
|
3328 |
+
"train_loss": 1.8196985500431868,
|
3329 |
+
"train_runtime": 434920.5349,
|
3330 |
+
"train_samples_per_second": 148.879,
|
3331 |
+
"train_steps_per_second": 0.62
|
3332 |
+
}
|
3333 |
+
],
|
3334 |
+
"max_steps": 269794,
|
3335 |
+
"num_train_epochs": 1,
|
3336 |
+
"total_flos": 7.264837577610363e+18,
|
3337 |
+
"trial_name": null,
|
3338 |
+
"trial_params": null
|
3339 |
+
}
|
arabert-tweet-large/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:83aaee1e19b7930b32652274e3decd2676d32ecb73eeec35d9292eebddc4e962
|
3 |
+
size 2607
|
arabert-tweet-large/vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|