chizhik
commited on
Commit
·
6dbacd6
1
Parent(s):
a3fb507
initial commit
Browse files- config.json +65 -0
- merges.txt +0 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +65 -0
- trainer_state.json +382 -0
- training_args.bin +3 -0
- vocab.json +0 -0
config.json
ADDED
|
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "./Models/roberta-base-bne",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"RobertaForSequenceClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.0,
|
| 7 |
+
"bos_token_id": 0,
|
| 8 |
+
"classifier_dropout": null,
|
| 9 |
+
"eos_token_id": 2,
|
| 10 |
+
"gradient_checkpointing": false,
|
| 11 |
+
"hidden_act": "gelu",
|
| 12 |
+
"hidden_dropout_prob": 0.0,
|
| 13 |
+
"hidden_size": 768,
|
| 14 |
+
"id2label": {
|
| 15 |
+
"0": "LABEL_0",
|
| 16 |
+
"1": "LABEL_1",
|
| 17 |
+
"2": "LABEL_2",
|
| 18 |
+
"3": "LABEL_3",
|
| 19 |
+
"4": "LABEL_4",
|
| 20 |
+
"5": "LABEL_5",
|
| 21 |
+
"6": "LABEL_6",
|
| 22 |
+
"7": "LABEL_7",
|
| 23 |
+
"8": "LABEL_8",
|
| 24 |
+
"9": "LABEL_9",
|
| 25 |
+
"10": "LABEL_10",
|
| 26 |
+
"11": "LABEL_11",
|
| 27 |
+
"12": "LABEL_12",
|
| 28 |
+
"13": "LABEL_13",
|
| 29 |
+
"14": "LABEL_14",
|
| 30 |
+
"15": "LABEL_15"
|
| 31 |
+
},
|
| 32 |
+
"initializer_range": 0.02,
|
| 33 |
+
"intermediate_size": 3072,
|
| 34 |
+
"label2id": {
|
| 35 |
+
"LABEL_0": 0,
|
| 36 |
+
"LABEL_1": 1,
|
| 37 |
+
"LABEL_10": 10,
|
| 38 |
+
"LABEL_11": 11,
|
| 39 |
+
"LABEL_12": 12,
|
| 40 |
+
"LABEL_13": 13,
|
| 41 |
+
"LABEL_14": 14,
|
| 42 |
+
"LABEL_15": 15,
|
| 43 |
+
"LABEL_2": 2,
|
| 44 |
+
"LABEL_3": 3,
|
| 45 |
+
"LABEL_4": 4,
|
| 46 |
+
"LABEL_5": 5,
|
| 47 |
+
"LABEL_6": 6,
|
| 48 |
+
"LABEL_7": 7,
|
| 49 |
+
"LABEL_8": 8,
|
| 50 |
+
"LABEL_9": 9
|
| 51 |
+
},
|
| 52 |
+
"layer_norm_eps": 1e-05,
|
| 53 |
+
"max_position_embeddings": 514,
|
| 54 |
+
"model_type": "roberta",
|
| 55 |
+
"num_attention_heads": 12,
|
| 56 |
+
"num_hidden_layers": 12,
|
| 57 |
+
"pad_token_id": 1,
|
| 58 |
+
"position_embedding_type": "absolute",
|
| 59 |
+
"problem_type": "multi_label_classification",
|
| 60 |
+
"torch_dtype": "float32",
|
| 61 |
+
"transformers_version": "4.24.0",
|
| 62 |
+
"type_vocab_size": 1,
|
| 63 |
+
"use_cache": true,
|
| 64 |
+
"vocab_size": 50262
|
| 65 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fa17b658ff6291efbf0919babd01f5eec92da9643b39758cdaa3b6db9476e1db
|
| 3 |
+
size 997361565
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:41adba97b7f678cbf4f5086d500f1346c7fa47d372988e0f0b6d5a52361a1d50
|
| 3 |
+
size 498694189
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1a9d4831f96a909c7446a40c7bdd8e8f202f41f3fc50a85bbf9b303cfdfcd011
|
| 3 |
+
size 14567
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2c73139dd76e847347cf52b339302ca357b5775c05b771f462b21d2da0fdbee2
|
| 3 |
+
size 623
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"cls_token": {
|
| 10 |
+
"content": "<s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"eos_token": {
|
| 17 |
+
"content": "</s>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": true,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"mask_token": {
|
| 24 |
+
"content": "<mask>",
|
| 25 |
+
"lstrip": true,
|
| 26 |
+
"normalized": true,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
},
|
| 30 |
+
"pad_token": {
|
| 31 |
+
"content": "<pad>",
|
| 32 |
+
"lstrip": false,
|
| 33 |
+
"normalized": true,
|
| 34 |
+
"rstrip": false,
|
| 35 |
+
"single_word": false
|
| 36 |
+
},
|
| 37 |
+
"sep_token": {
|
| 38 |
+
"content": "</s>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": true,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false
|
| 43 |
+
},
|
| 44 |
+
"unk_token": {
|
| 45 |
+
"content": "<unk>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": true,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false
|
| 50 |
+
}
|
| 51 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"bos_token": {
|
| 4 |
+
"__type": "AddedToken",
|
| 5 |
+
"content": "<s>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": true,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false
|
| 10 |
+
},
|
| 11 |
+
"cls_token": {
|
| 12 |
+
"__type": "AddedToken",
|
| 13 |
+
"content": "<s>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": true,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false
|
| 18 |
+
},
|
| 19 |
+
"eos_token": {
|
| 20 |
+
"__type": "AddedToken",
|
| 21 |
+
"content": "</s>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": true,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false
|
| 26 |
+
},
|
| 27 |
+
"errors": "replace",
|
| 28 |
+
"mask_token": {
|
| 29 |
+
"__type": "AddedToken",
|
| 30 |
+
"content": "<mask>",
|
| 31 |
+
"lstrip": true,
|
| 32 |
+
"normalized": true,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false
|
| 35 |
+
},
|
| 36 |
+
"max_len": 512,
|
| 37 |
+
"name_or_path": "Models/roberta-base-bne",
|
| 38 |
+
"pad_token": {
|
| 39 |
+
"__type": "AddedToken",
|
| 40 |
+
"content": "<pad>",
|
| 41 |
+
"lstrip": false,
|
| 42 |
+
"normalized": true,
|
| 43 |
+
"rstrip": false,
|
| 44 |
+
"single_word": false
|
| 45 |
+
},
|
| 46 |
+
"sep_token": {
|
| 47 |
+
"__type": "AddedToken",
|
| 48 |
+
"content": "</s>",
|
| 49 |
+
"lstrip": false,
|
| 50 |
+
"normalized": true,
|
| 51 |
+
"rstrip": false,
|
| 52 |
+
"single_word": false
|
| 53 |
+
},
|
| 54 |
+
"special_tokens_map_file": null,
|
| 55 |
+
"tokenizer_class": "RobertaTokenizer",
|
| 56 |
+
"trim_offsets": true,
|
| 57 |
+
"unk_token": {
|
| 58 |
+
"__type": "AddedToken",
|
| 59 |
+
"content": "<unk>",
|
| 60 |
+
"lstrip": false,
|
| 61 |
+
"normalized": true,
|
| 62 |
+
"rstrip": false,
|
| 63 |
+
"single_word": false
|
| 64 |
+
}
|
| 65 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,382 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.6491296227815271,
|
| 3 |
+
"best_model_checkpoint": "./CARES/checkpoints/roberta-stratified/run-0/checkpoint-3266",
|
| 4 |
+
"epoch": 23.163120567375888,
|
| 5 |
+
"global_step": 3266,
|
| 6 |
+
"is_hyper_param_search": true,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 1.01,
|
| 12 |
+
"eval_loss": 0.3462072014808655,
|
| 13 |
+
"eval_macro_f1": 0.0007381889763779527,
|
| 14 |
+
"eval_macro_precision": 0.0625,
|
| 15 |
+
"eval_macro_recall": 0.0003712871287128713,
|
| 16 |
+
"eval_micro_f1": 0.0039447731755424065,
|
| 17 |
+
"eval_micro_precision": 1.0,
|
| 18 |
+
"eval_micro_recall": 0.001976284584980237,
|
| 19 |
+
"eval_runtime": 2.8803,
|
| 20 |
+
"eval_samples_per_second": 337.116,
|
| 21 |
+
"eval_steps_per_second": 10.763,
|
| 22 |
+
"step": 142
|
| 23 |
+
},
|
| 24 |
+
{
|
| 25 |
+
"epoch": 2.01,
|
| 26 |
+
"eval_loss": 0.26299169659614563,
|
| 27 |
+
"eval_macro_f1": 0.03133608815426997,
|
| 28 |
+
"eval_macro_precision": 0.051470588235294115,
|
| 29 |
+
"eval_macro_recall": 0.022524752475247524,
|
| 30 |
+
"eval_micro_f1": 0.20931569867740082,
|
| 31 |
+
"eval_micro_precision": 0.8235294117647058,
|
| 32 |
+
"eval_micro_recall": 0.11989459815546773,
|
| 33 |
+
"eval_runtime": 2.7712,
|
| 34 |
+
"eval_samples_per_second": 350.396,
|
| 35 |
+
"eval_steps_per_second": 11.187,
|
| 36 |
+
"step": 284
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"epoch": 3.02,
|
| 40 |
+
"eval_loss": 0.2253277599811554,
|
| 41 |
+
"eval_macro_f1": 0.06167745523885891,
|
| 42 |
+
"eval_macro_precision": 0.16397973284200829,
|
| 43 |
+
"eval_macro_recall": 0.06444494429328504,
|
| 44 |
+
"eval_micro_f1": 0.43727272727272726,
|
| 45 |
+
"eval_micro_precision": 0.7052785923753666,
|
| 46 |
+
"eval_micro_recall": 0.3168642951251647,
|
| 47 |
+
"eval_runtime": 2.7754,
|
| 48 |
+
"eval_samples_per_second": 349.86,
|
| 49 |
+
"eval_steps_per_second": 11.17,
|
| 50 |
+
"step": 426
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 3.55,
|
| 54 |
+
"learning_rate": 1.858287403029302e-05,
|
| 55 |
+
"loss": 0.3344,
|
| 56 |
+
"step": 500
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 4.03,
|
| 60 |
+
"eval_loss": 0.19568884372711182,
|
| 61 |
+
"eval_macro_f1": 0.19533405609363325,
|
| 62 |
+
"eval_macro_precision": 0.3105566636324695,
|
| 63 |
+
"eval_macro_recall": 0.1838257881936085,
|
| 64 |
+
"eval_micro_f1": 0.6221161495624502,
|
| 65 |
+
"eval_micro_precision": 0.785140562248996,
|
| 66 |
+
"eval_micro_recall": 0.5151515151515151,
|
| 67 |
+
"eval_runtime": 2.775,
|
| 68 |
+
"eval_samples_per_second": 349.909,
|
| 69 |
+
"eval_steps_per_second": 11.171,
|
| 70 |
+
"step": 568
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"epoch": 5.04,
|
| 74 |
+
"eval_loss": 0.16411657631397247,
|
| 75 |
+
"eval_macro_f1": 0.2724936969098707,
|
| 76 |
+
"eval_macro_precision": 0.3798299682715689,
|
| 77 |
+
"eval_macro_recall": 0.24456296636870606,
|
| 78 |
+
"eval_micro_f1": 0.6832491255343957,
|
| 79 |
+
"eval_micro_precision": 0.833175355450237,
|
| 80 |
+
"eval_micro_recall": 0.5790513833992095,
|
| 81 |
+
"eval_runtime": 2.7735,
|
| 82 |
+
"eval_samples_per_second": 350.097,
|
| 83 |
+
"eval_steps_per_second": 11.177,
|
| 84 |
+
"step": 710
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"epoch": 6.04,
|
| 88 |
+
"eval_loss": 0.15434952080249786,
|
| 89 |
+
"eval_macro_f1": 0.33512731711181853,
|
| 90 |
+
"eval_macro_precision": 0.42023284164245034,
|
| 91 |
+
"eval_macro_recall": 0.31527094611085327,
|
| 92 |
+
"eval_micro_f1": 0.7207672445592034,
|
| 93 |
+
"eval_micro_precision": 0.8189438390611903,
|
| 94 |
+
"eval_micro_recall": 0.6436100131752306,
|
| 95 |
+
"eval_runtime": 2.7765,
|
| 96 |
+
"eval_samples_per_second": 349.72,
|
| 97 |
+
"eval_steps_per_second": 11.165,
|
| 98 |
+
"step": 852
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 7.05,
|
| 102 |
+
"eval_loss": 0.14012500643730164,
|
| 103 |
+
"eval_macro_f1": 0.3798067714294707,
|
| 104 |
+
"eval_macro_precision": 0.5469114307081249,
|
| 105 |
+
"eval_macro_recall": 0.3317304014614234,
|
| 106 |
+
"eval_micro_f1": 0.7399624765478424,
|
| 107 |
+
"eval_micro_precision": 0.8596338273757629,
|
| 108 |
+
"eval_micro_recall": 0.6495388669301713,
|
| 109 |
+
"eval_runtime": 2.774,
|
| 110 |
+
"eval_samples_per_second": 350.033,
|
| 111 |
+
"eval_steps_per_second": 11.175,
|
| 112 |
+
"step": 994
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"epoch": 7.09,
|
| 116 |
+
"learning_rate": 3.0452387239092086e-05,
|
| 117 |
+
"loss": 0.1403,
|
| 118 |
+
"step": 1000
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"epoch": 8.06,
|
| 122 |
+
"eval_loss": 0.1425222009420395,
|
| 123 |
+
"eval_macro_f1": 0.4279380705267567,
|
| 124 |
+
"eval_macro_precision": 0.603624913309443,
|
| 125 |
+
"eval_macro_recall": 0.3703454980587147,
|
| 126 |
+
"eval_micro_f1": 0.7544954128440367,
|
| 127 |
+
"eval_micro_precision": 0.851698425849213,
|
| 128 |
+
"eval_micro_recall": 0.6772068511198946,
|
| 129 |
+
"eval_runtime": 2.7729,
|
| 130 |
+
"eval_samples_per_second": 350.179,
|
| 131 |
+
"eval_steps_per_second": 11.18,
|
| 132 |
+
"step": 1136
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"epoch": 9.06,
|
| 136 |
+
"eval_loss": 0.12965930998325348,
|
| 137 |
+
"eval_macro_f1": 0.516908938978679,
|
| 138 |
+
"eval_macro_precision": 0.6952135806026781,
|
| 139 |
+
"eval_macro_recall": 0.4441065897269686,
|
| 140 |
+
"eval_micro_f1": 0.7703488372093023,
|
| 141 |
+
"eval_micro_precision": 0.8589951377633711,
|
| 142 |
+
"eval_micro_recall": 0.6982872200263505,
|
| 143 |
+
"eval_runtime": 2.7725,
|
| 144 |
+
"eval_samples_per_second": 350.226,
|
| 145 |
+
"eval_steps_per_second": 11.181,
|
| 146 |
+
"step": 1278
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 10.07,
|
| 150 |
+
"eval_loss": 0.12852537631988525,
|
| 151 |
+
"eval_macro_f1": 0.5388984906238257,
|
| 152 |
+
"eval_macro_precision": 0.7130990451123878,
|
| 153 |
+
"eval_macro_recall": 0.4711434333008039,
|
| 154 |
+
"eval_micro_f1": 0.7730547550432276,
|
| 155 |
+
"eval_micro_precision": 0.8529411764705882,
|
| 156 |
+
"eval_micro_recall": 0.7068511198945981,
|
| 157 |
+
"eval_runtime": 2.7737,
|
| 158 |
+
"eval_samples_per_second": 350.077,
|
| 159 |
+
"eval_steps_per_second": 11.176,
|
| 160 |
+
"step": 1420
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"epoch": 10.64,
|
| 164 |
+
"learning_rate": 2.929008238263819e-05,
|
| 165 |
+
"loss": 0.0558,
|
| 166 |
+
"step": 1500
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"epoch": 11.08,
|
| 170 |
+
"eval_loss": 0.13507980108261108,
|
| 171 |
+
"eval_macro_f1": 0.5653547754610186,
|
| 172 |
+
"eval_macro_precision": 0.697025101599949,
|
| 173 |
+
"eval_macro_recall": 0.49809191604893205,
|
| 174 |
+
"eval_micro_f1": 0.7797808412866738,
|
| 175 |
+
"eval_micro_precision": 0.8413424866514111,
|
| 176 |
+
"eval_micro_recall": 0.7266139657444005,
|
| 177 |
+
"eval_runtime": 2.7736,
|
| 178 |
+
"eval_samples_per_second": 350.083,
|
| 179 |
+
"eval_steps_per_second": 11.177,
|
| 180 |
+
"step": 1562
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 12.09,
|
| 184 |
+
"eval_loss": 0.1355280876159668,
|
| 185 |
+
"eval_macro_f1": 0.5794821565833095,
|
| 186 |
+
"eval_macro_precision": 0.6818697605893614,
|
| 187 |
+
"eval_macro_recall": 0.5236900724860433,
|
| 188 |
+
"eval_micro_f1": 0.7849877236057524,
|
| 189 |
+
"eval_micro_precision": 0.8394598649662416,
|
| 190 |
+
"eval_micro_recall": 0.7371541501976284,
|
| 191 |
+
"eval_runtime": 2.7759,
|
| 192 |
+
"eval_samples_per_second": 349.801,
|
| 193 |
+
"eval_steps_per_second": 11.168,
|
| 194 |
+
"step": 1704
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 13.09,
|
| 198 |
+
"eval_loss": 0.13659390807151794,
|
| 199 |
+
"eval_macro_f1": 0.5891915194817472,
|
| 200 |
+
"eval_macro_precision": 0.69343533514632,
|
| 201 |
+
"eval_macro_recall": 0.5302292848265341,
|
| 202 |
+
"eval_micro_f1": 0.7858642407277815,
|
| 203 |
+
"eval_micro_precision": 0.8380597014925373,
|
| 204 |
+
"eval_micro_recall": 0.7397891963109354,
|
| 205 |
+
"eval_runtime": 2.7739,
|
| 206 |
+
"eval_samples_per_second": 350.043,
|
| 207 |
+
"eval_steps_per_second": 11.175,
|
| 208 |
+
"step": 1846
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"epoch": 14.1,
|
| 212 |
+
"eval_loss": 0.13488434255123138,
|
| 213 |
+
"eval_macro_f1": 0.5900914578255574,
|
| 214 |
+
"eval_macro_precision": 0.6881746937300715,
|
| 215 |
+
"eval_macro_recall": 0.5327336547593478,
|
| 216 |
+
"eval_micro_f1": 0.7906326459279972,
|
| 217 |
+
"eval_micro_precision": 0.842144452717796,
|
| 218 |
+
"eval_micro_recall": 0.7450592885375494,
|
| 219 |
+
"eval_runtime": 2.772,
|
| 220 |
+
"eval_samples_per_second": 350.292,
|
| 221 |
+
"eval_steps_per_second": 11.183,
|
| 222 |
+
"step": 1988
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 14.18,
|
| 226 |
+
"learning_rate": 2.8127777526184293e-05,
|
| 227 |
+
"loss": 0.0229,
|
| 228 |
+
"step": 2000
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 15.11,
|
| 232 |
+
"eval_loss": 0.14160068333148956,
|
| 233 |
+
"eval_macro_f1": 0.5920064296505824,
|
| 234 |
+
"eval_macro_precision": 0.6848089552512611,
|
| 235 |
+
"eval_macro_recall": 0.5382146732964487,
|
| 236 |
+
"eval_micro_f1": 0.7904066736183525,
|
| 237 |
+
"eval_micro_precision": 0.8366445916114791,
|
| 238 |
+
"eval_micro_recall": 0.7490118577075099,
|
| 239 |
+
"eval_runtime": 2.7738,
|
| 240 |
+
"eval_samples_per_second": 350.061,
|
| 241 |
+
"eval_steps_per_second": 11.176,
|
| 242 |
+
"step": 2130
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 16.11,
|
| 246 |
+
"eval_loss": 0.14674818515777588,
|
| 247 |
+
"eval_macro_f1": 0.5928173166365653,
|
| 248 |
+
"eval_macro_precision": 0.6894481117094009,
|
| 249 |
+
"eval_macro_recall": 0.5355030217646541,
|
| 250 |
+
"eval_micro_f1": 0.7838118298166724,
|
| 251 |
+
"eval_micro_precision": 0.8252002913328478,
|
| 252 |
+
"eval_micro_recall": 0.7463768115942029,
|
| 253 |
+
"eval_runtime": 2.7753,
|
| 254 |
+
"eval_samples_per_second": 349.871,
|
| 255 |
+
"eval_steps_per_second": 11.17,
|
| 256 |
+
"step": 2272
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 17.12,
|
| 260 |
+
"eval_loss": 0.15975715219974518,
|
| 261 |
+
"eval_macro_f1": 0.6260279452973108,
|
| 262 |
+
"eval_macro_precision": 0.7038398537082291,
|
| 263 |
+
"eval_macro_recall": 0.5866152515992036,
|
| 264 |
+
"eval_micro_f1": 0.7704974271012006,
|
| 265 |
+
"eval_micro_precision": 0.80386542591267,
|
| 266 |
+
"eval_micro_recall": 0.7397891963109354,
|
| 267 |
+
"eval_runtime": 2.773,
|
| 268 |
+
"eval_samples_per_second": 350.168,
|
| 269 |
+
"eval_steps_per_second": 11.179,
|
| 270 |
+
"step": 2414
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 17.73,
|
| 274 |
+
"learning_rate": 2.6965472669730396e-05,
|
| 275 |
+
"loss": 0.0137,
|
| 276 |
+
"step": 2500
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 18.13,
|
| 280 |
+
"eval_loss": 0.15081025660037994,
|
| 281 |
+
"eval_macro_f1": 0.6271302596876451,
|
| 282 |
+
"eval_macro_precision": 0.7314709578369518,
|
| 283 |
+
"eval_macro_recall": 0.5704921787075566,
|
| 284 |
+
"eval_micro_f1": 0.7809989521480964,
|
| 285 |
+
"eval_micro_precision": 0.8312267657992565,
|
| 286 |
+
"eval_micro_recall": 0.7364953886693018,
|
| 287 |
+
"eval_runtime": 2.7721,
|
| 288 |
+
"eval_samples_per_second": 350.282,
|
| 289 |
+
"eval_steps_per_second": 11.183,
|
| 290 |
+
"step": 2556
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 19.13,
|
| 294 |
+
"eval_loss": 0.14972703158855438,
|
| 295 |
+
"eval_macro_f1": 0.5953077373311189,
|
| 296 |
+
"eval_macro_precision": 0.6771131830689183,
|
| 297 |
+
"eval_macro_recall": 0.5419002355296083,
|
| 298 |
+
"eval_micro_f1": 0.7900552486187846,
|
| 299 |
+
"eval_micro_precision": 0.8301886792452831,
|
| 300 |
+
"eval_micro_recall": 0.7536231884057971,
|
| 301 |
+
"eval_runtime": 2.7725,
|
| 302 |
+
"eval_samples_per_second": 350.229,
|
| 303 |
+
"eval_steps_per_second": 11.181,
|
| 304 |
+
"step": 2698
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 20.14,
|
| 308 |
+
"eval_loss": 0.16402311623096466,
|
| 309 |
+
"eval_macro_f1": 0.5892530505072842,
|
| 310 |
+
"eval_macro_precision": 0.6727972959139897,
|
| 311 |
+
"eval_macro_recall": 0.5367187180351005,
|
| 312 |
+
"eval_micro_f1": 0.779319916724497,
|
| 313 |
+
"eval_micro_precision": 0.8233137829912024,
|
| 314 |
+
"eval_micro_recall": 0.7397891963109354,
|
| 315 |
+
"eval_runtime": 2.7746,
|
| 316 |
+
"eval_samples_per_second": 349.963,
|
| 317 |
+
"eval_steps_per_second": 11.173,
|
| 318 |
+
"step": 2840
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 21.15,
|
| 322 |
+
"eval_loss": 0.16335928440093994,
|
| 323 |
+
"eval_macro_f1": 0.6332863501223459,
|
| 324 |
+
"eval_macro_precision": 0.7578187629295322,
|
| 325 |
+
"eval_macro_recall": 0.5685989504723161,
|
| 326 |
+
"eval_micro_f1": 0.7924791086350974,
|
| 327 |
+
"eval_micro_precision": 0.8404726735598228,
|
| 328 |
+
"eval_micro_recall": 0.7496706192358367,
|
| 329 |
+
"eval_runtime": 2.7725,
|
| 330 |
+
"eval_samples_per_second": 350.229,
|
| 331 |
+
"eval_steps_per_second": 11.181,
|
| 332 |
+
"step": 2982
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 21.28,
|
| 336 |
+
"learning_rate": 2.58031678132765e-05,
|
| 337 |
+
"loss": 0.011,
|
| 338 |
+
"step": 3000
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 22.16,
|
| 342 |
+
"eval_loss": 0.16375195980072021,
|
| 343 |
+
"eval_macro_f1": 0.6343242676719218,
|
| 344 |
+
"eval_macro_precision": 0.7473720060268463,
|
| 345 |
+
"eval_macro_recall": 0.5714537925969617,
|
| 346 |
+
"eval_micro_f1": 0.7909878682842287,
|
| 347 |
+
"eval_micro_precision": 0.8346744696415508,
|
| 348 |
+
"eval_micro_recall": 0.7516469038208169,
|
| 349 |
+
"eval_runtime": 2.7735,
|
| 350 |
+
"eval_samples_per_second": 350.093,
|
| 351 |
+
"eval_steps_per_second": 11.177,
|
| 352 |
+
"step": 3124
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 23.16,
|
| 356 |
+
"eval_loss": 0.16090567409992218,
|
| 357 |
+
"eval_macro_f1": 0.6491296227815271,
|
| 358 |
+
"eval_macro_precision": 0.7487080551943797,
|
| 359 |
+
"eval_macro_recall": 0.5927079340096836,
|
| 360 |
+
"eval_micro_f1": 0.7961299239806496,
|
| 361 |
+
"eval_micro_precision": 0.8372093023255814,
|
| 362 |
+
"eval_micro_recall": 0.758893280632411,
|
| 363 |
+
"eval_runtime": 2.7735,
|
| 364 |
+
"eval_samples_per_second": 350.094,
|
| 365 |
+
"eval_steps_per_second": 11.177,
|
| 366 |
+
"step": 3266
|
| 367 |
+
}
|
| 368 |
+
],
|
| 369 |
+
"max_steps": 14100,
|
| 370 |
+
"num_train_epochs": 100,
|
| 371 |
+
"total_flos": 1.2446273222900736e+16,
|
| 372 |
+
"trial_name": null,
|
| 373 |
+
"trial_params": {
|
| 374 |
+
"adam_epsilon": 6.356433345691159e-10,
|
| 375 |
+
"learning_rate": 3.084757089028641e-05,
|
| 376 |
+
"per_device_eval_batch_size": 32,
|
| 377 |
+
"per_device_train_batch_size": 16,
|
| 378 |
+
"seed": 326,
|
| 379 |
+
"warmup_steps": 830,
|
| 380 |
+
"weight_decay": 0.0009910374448883887
|
| 381 |
+
}
|
| 382 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c8b7f323c1b5dbfa731b4c4816647448376c6ed3b12e43aeda40bcbd1093c542
|
| 3 |
+
size 3439
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|