Model save
Browse files- README.md +60 -0
- all_results.json +9 -0
- config.json +26 -0
- generation_config.json +6 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
- train_results.json +9 -0
- trainer_state.json +762 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: alignment-handbook/zephyr-7b-sft-full
|
4 |
+
tags:
|
5 |
+
- trl
|
6 |
+
- dpo
|
7 |
+
- generated_from_trainer
|
8 |
+
model-index:
|
9 |
+
- name: Negative_like_DPO_Chat-zephyr-7b-sft-full
|
10 |
+
results: []
|
11 |
+
---
|
12 |
+
|
13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
14 |
+
should probably proofread and complete it, then remove this comment. -->
|
15 |
+
|
16 |
+
# Negative_like_DPO_Chat-zephyr-7b-sft-full
|
17 |
+
|
18 |
+
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on an unknown dataset.
|
19 |
+
|
20 |
+
## Model description
|
21 |
+
|
22 |
+
More information needed
|
23 |
+
|
24 |
+
## Intended uses & limitations
|
25 |
+
|
26 |
+
More information needed
|
27 |
+
|
28 |
+
## Training and evaluation data
|
29 |
+
|
30 |
+
More information needed
|
31 |
+
|
32 |
+
## Training procedure
|
33 |
+
|
34 |
+
### Training hyperparameters
|
35 |
+
|
36 |
+
The following hyperparameters were used during training:
|
37 |
+
- learning_rate: 5e-07
|
38 |
+
- train_batch_size: 4
|
39 |
+
- eval_batch_size: 4
|
40 |
+
- seed: 42
|
41 |
+
- distributed_type: multi-GPU
|
42 |
+
- num_devices: 4
|
43 |
+
- gradient_accumulation_steps: 8
|
44 |
+
- total_train_batch_size: 128
|
45 |
+
- total_eval_batch_size: 16
|
46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
47 |
+
- lr_scheduler_type: cosine
|
48 |
+
- lr_scheduler_warmup_ratio: 0.1
|
49 |
+
- num_epochs: 1
|
50 |
+
|
51 |
+
### Training results
|
52 |
+
|
53 |
+
|
54 |
+
|
55 |
+
### Framework versions
|
56 |
+
|
57 |
+
- Transformers 4.41.2
|
58 |
+
- Pytorch 2.3.0+cu121
|
59 |
+
- Datasets 2.19.1
|
60 |
+
- Tokenizers 0.19.1
|
all_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 0.998691442030882,
|
3 |
+
"total_flos": 0.0,
|
4 |
+
"train_loss": 222.93432777132878,
|
5 |
+
"train_runtime": 12805.5892,
|
6 |
+
"train_samples": 61135,
|
7 |
+
"train_samples_per_second": 4.774,
|
8 |
+
"train_steps_per_second": 0.037
|
9 |
+
}
|
config.json
ADDED
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "alignment-handbook/zephyr-7b-sft-full",
|
3 |
+
"architectures": [
|
4 |
+
"MistralForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 1,
|
8 |
+
"eos_token_id": 2,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 4096,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"intermediate_size": 14336,
|
13 |
+
"max_position_embeddings": 32768,
|
14 |
+
"model_type": "mistral",
|
15 |
+
"num_attention_heads": 32,
|
16 |
+
"num_hidden_layers": 32,
|
17 |
+
"num_key_value_heads": 8,
|
18 |
+
"rms_norm_eps": 1e-05,
|
19 |
+
"rope_theta": 10000.0,
|
20 |
+
"sliding_window": 4096,
|
21 |
+
"tie_word_embeddings": false,
|
22 |
+
"torch_dtype": "bfloat16",
|
23 |
+
"transformers_version": "4.41.2",
|
24 |
+
"use_cache": false,
|
25 |
+
"vocab_size": 32000
|
26 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 1,
|
4 |
+
"eos_token_id": 2,
|
5 |
+
"transformers_version": "4.41.2"
|
6 |
+
}
|
model-00001-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:20bf2b4c1c95b82552e0b1522bbbca426f27e6efc102f0e810823bf5dca2b095
|
3 |
+
size 4943162336
|
model-00002-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:28d0ba64cec116c3b2cb32aaf91e9564c8ed7d7699d408abf00565ab88c61f2b
|
3 |
+
size 4999819336
|
model-00003-of-00003.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:26241b1b36a8828785834ce307efad4666f23414eff0185dc88f0b3616d954a4
|
3 |
+
size 4540516344
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,298 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 14483464192
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00003-of-00003.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00003.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
26 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
35 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
44 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
53 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
62 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
71 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
80 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
89 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
98 |
+
"model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
107 |
+
"model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
125 |
+
"model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
134 |
+
"model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
143 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
152 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
161 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
170 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
179 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
188 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
197 |
+
"model.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
206 |
+
"model.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
215 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
224 |
+
"model.layers.30.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
225 |
+
"model.layers.30.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
226 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
227 |
+
"model.layers.30.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
228 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
229 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
230 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
231 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
232 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
233 |
+
"model.layers.31.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
234 |
+
"model.layers.31.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
235 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
236 |
+
"model.layers.31.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
237 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
238 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
239 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
240 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
241 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
242 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
243 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
244 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
245 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
246 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
247 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
248 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
249 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
250 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
251 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
252 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
253 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
254 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
255 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
256 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
257 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
258 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
259 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
260 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
261 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
262 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
263 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
264 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
265 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
266 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
267 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
268 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
269 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
270 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
271 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
272 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
273 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
274 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
275 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
276 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
277 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
278 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
279 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
280 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
281 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
282 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
283 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
284 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
285 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
286 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
287 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
288 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
289 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
290 |
+
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
291 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
292 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
293 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
294 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
295 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
296 |
+
"model.norm.weight": "model-00003-of-00003.safetensors"
|
297 |
+
}
|
298 |
+
}
|
special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": {
|
3 |
+
"content": "<s>",
|
4 |
+
"lstrip": false,
|
5 |
+
"normalized": false,
|
6 |
+
"rstrip": false,
|
7 |
+
"single_word": false
|
8 |
+
},
|
9 |
+
"eos_token": {
|
10 |
+
"content": "</s>",
|
11 |
+
"lstrip": false,
|
12 |
+
"normalized": false,
|
13 |
+
"rstrip": false,
|
14 |
+
"single_word": false
|
15 |
+
},
|
16 |
+
"pad_token": {
|
17 |
+
"content": "</s>",
|
18 |
+
"lstrip": false,
|
19 |
+
"normalized": false,
|
20 |
+
"rstrip": false,
|
21 |
+
"single_word": false
|
22 |
+
},
|
23 |
+
"unk_token": {
|
24 |
+
"content": "<unk>",
|
25 |
+
"lstrip": false,
|
26 |
+
"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"additional_special_tokens": [],
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
33 |
+
"clean_up_tokenization_spaces": false,
|
34 |
+
"eos_token": "</s>",
|
35 |
+
"legacy": true,
|
36 |
+
"model_max_length": 2048,
|
37 |
+
"pad_token": "</s>",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"spaces_between_special_tokens": false,
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false
|
43 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 0.998691442030882,
|
3 |
+
"total_flos": 0.0,
|
4 |
+
"train_loss": 222.93432777132878,
|
5 |
+
"train_runtime": 12805.5892,
|
6 |
+
"train_samples": 61135,
|
7 |
+
"train_samples_per_second": 4.774,
|
8 |
+
"train_steps_per_second": 0.037
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,762 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.998691442030882,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 477,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.002093692750588851,
|
13 |
+
"grad_norm": 3522.287948369491,
|
14 |
+
"learning_rate": 1.0416666666666666e-08,
|
15 |
+
"logits/chosen": 5002.53564453125,
|
16 |
+
"logits/rejected": 4591.72021484375,
|
17 |
+
"logps/chosen": -265.6396789550781,
|
18 |
+
"logps/rejected": -206.22401428222656,
|
19 |
+
"loss": 222.1204,
|
20 |
+
"rewards/accuracies": 0.0,
|
21 |
+
"rewards/chosen": 0.0,
|
22 |
+
"rewards/margins": 0.0,
|
23 |
+
"rewards/rejected": 0.0,
|
24 |
+
"step": 1
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.02093692750588851,
|
28 |
+
"grad_norm": 3570.1637579903136,
|
29 |
+
"learning_rate": 1.0416666666666667e-07,
|
30 |
+
"logits/chosen": 5976.8369140625,
|
31 |
+
"logits/rejected": 5015.12548828125,
|
32 |
+
"logps/chosen": -292.30426025390625,
|
33 |
+
"logps/rejected": -259.09771728515625,
|
34 |
+
"loss": 261.6898,
|
35 |
+
"rewards/accuracies": 0.4583333432674408,
|
36 |
+
"rewards/chosen": 0.002565481700003147,
|
37 |
+
"rewards/margins": 0.00030597145087085664,
|
38 |
+
"rewards/rejected": 0.002259510336443782,
|
39 |
+
"step": 10
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.04187385501177702,
|
43 |
+
"grad_norm": 1740.0232034178,
|
44 |
+
"learning_rate": 2.0833333333333333e-07,
|
45 |
+
"logits/chosen": 5865.3740234375,
|
46 |
+
"logits/rejected": 4845.28564453125,
|
47 |
+
"logps/chosen": -283.95458984375,
|
48 |
+
"logps/rejected": -243.2721710205078,
|
49 |
+
"loss": 247.7889,
|
50 |
+
"rewards/accuracies": 0.512499988079071,
|
51 |
+
"rewards/chosen": 0.06638871878385544,
|
52 |
+
"rewards/margins": 0.0017764812801033258,
|
53 |
+
"rewards/rejected": 0.0646122470498085,
|
54 |
+
"step": 20
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 0.06281078251766553,
|
58 |
+
"grad_norm": 1350.7689845691493,
|
59 |
+
"learning_rate": 3.1249999999999997e-07,
|
60 |
+
"logits/chosen": 5561.669921875,
|
61 |
+
"logits/rejected": 4845.861328125,
|
62 |
+
"logps/chosen": -256.84765625,
|
63 |
+
"logps/rejected": -223.6597137451172,
|
64 |
+
"loss": 235.7881,
|
65 |
+
"rewards/accuracies": 0.528124988079071,
|
66 |
+
"rewards/chosen": 0.15389783680438995,
|
67 |
+
"rewards/margins": 0.002473007421940565,
|
68 |
+
"rewards/rejected": 0.1514248251914978,
|
69 |
+
"step": 30
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.08374771002355404,
|
73 |
+
"grad_norm": 1024.0536736135682,
|
74 |
+
"learning_rate": 4.1666666666666667e-07,
|
75 |
+
"logits/chosen": 5555.7802734375,
|
76 |
+
"logits/rejected": 4829.6064453125,
|
77 |
+
"logps/chosen": -253.9397735595703,
|
78 |
+
"logps/rejected": -237.85189819335938,
|
79 |
+
"loss": 235.6024,
|
80 |
+
"rewards/accuracies": 0.4781250059604645,
|
81 |
+
"rewards/chosen": 0.20017290115356445,
|
82 |
+
"rewards/margins": -0.005847611464560032,
|
83 |
+
"rewards/rejected": 0.2060205191373825,
|
84 |
+
"step": 40
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 0.10468463752944256,
|
88 |
+
"grad_norm": 1139.3651978834764,
|
89 |
+
"learning_rate": 4.999731868769026e-07,
|
90 |
+
"logits/chosen": 5772.9248046875,
|
91 |
+
"logits/rejected": 5017.52197265625,
|
92 |
+
"logps/chosen": -256.2254943847656,
|
93 |
+
"logps/rejected": -243.820556640625,
|
94 |
+
"loss": 238.5566,
|
95 |
+
"rewards/accuracies": 0.4625000059604645,
|
96 |
+
"rewards/chosen": 0.2239224910736084,
|
97 |
+
"rewards/margins": -0.01306430995464325,
|
98 |
+
"rewards/rejected": 0.23698678612709045,
|
99 |
+
"step": 50
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.12562156503533106,
|
103 |
+
"grad_norm": 949.2424330626906,
|
104 |
+
"learning_rate": 4.990353313429303e-07,
|
105 |
+
"logits/chosen": 5492.53173828125,
|
106 |
+
"logits/rejected": 4689.26611328125,
|
107 |
+
"logps/chosen": -251.794921875,
|
108 |
+
"logps/rejected": -223.1071014404297,
|
109 |
+
"loss": 226.0058,
|
110 |
+
"rewards/accuracies": 0.4593749940395355,
|
111 |
+
"rewards/chosen": 0.266275554895401,
|
112 |
+
"rewards/margins": -0.017442751675844193,
|
113 |
+
"rewards/rejected": 0.2837182879447937,
|
114 |
+
"step": 60
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.14655849254121958,
|
118 |
+
"grad_norm": 954.6500714792113,
|
119 |
+
"learning_rate": 4.967625656594781e-07,
|
120 |
+
"logits/chosen": 5274.14453125,
|
121 |
+
"logits/rejected": 4874.0908203125,
|
122 |
+
"logps/chosen": -250.61135864257812,
|
123 |
+
"logps/rejected": -238.37997436523438,
|
124 |
+
"loss": 225.2396,
|
125 |
+
"rewards/accuracies": 0.4625000059604645,
|
126 |
+
"rewards/chosen": 0.27696576714515686,
|
127 |
+
"rewards/margins": -0.007267093751579523,
|
128 |
+
"rewards/rejected": 0.28423285484313965,
|
129 |
+
"step": 70
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.16749542004710807,
|
133 |
+
"grad_norm": 932.4135888762232,
|
134 |
+
"learning_rate": 4.93167072587771e-07,
|
135 |
+
"logits/chosen": 5357.58056640625,
|
136 |
+
"logits/rejected": 4600.1162109375,
|
137 |
+
"logps/chosen": -245.84445190429688,
|
138 |
+
"logps/rejected": -223.32791137695312,
|
139 |
+
"loss": 224.8782,
|
140 |
+
"rewards/accuracies": 0.518750011920929,
|
141 |
+
"rewards/chosen": 0.3024243712425232,
|
142 |
+
"rewards/margins": 0.004978764336556196,
|
143 |
+
"rewards/rejected": 0.2974456250667572,
|
144 |
+
"step": 80
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 0.1884323475529966,
|
148 |
+
"grad_norm": 1000.848976733069,
|
149 |
+
"learning_rate": 4.882681251368548e-07,
|
150 |
+
"logits/chosen": 5479.4873046875,
|
151 |
+
"logits/rejected": 4642.76416015625,
|
152 |
+
"logps/chosen": -245.2469482421875,
|
153 |
+
"logps/rejected": -221.87753295898438,
|
154 |
+
"loss": 225.3665,
|
155 |
+
"rewards/accuracies": 0.5062500238418579,
|
156 |
+
"rewards/chosen": 0.32460635900497437,
|
157 |
+
"rewards/margins": -0.0063544088043272495,
|
158 |
+
"rewards/rejected": 0.33096081018447876,
|
159 |
+
"step": 90
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.2093692750588851,
|
163 |
+
"grad_norm": 988.1458235134902,
|
164 |
+
"learning_rate": 4.820919832540181e-07,
|
165 |
+
"logits/chosen": 5540.859375,
|
166 |
+
"logits/rejected": 5128.6162109375,
|
167 |
+
"logps/chosen": -247.3248748779297,
|
168 |
+
"logps/rejected": -237.8451385498047,
|
169 |
+
"loss": 221.1634,
|
170 |
+
"rewards/accuracies": 0.43437498807907104,
|
171 |
+
"rewards/chosen": 0.32543858885765076,
|
172 |
+
"rewards/margins": -0.04126424342393875,
|
173 |
+
"rewards/rejected": 0.3667028546333313,
|
174 |
+
"step": 100
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 0.23030620256477363,
|
178 |
+
"grad_norm": 968.9316114751973,
|
179 |
+
"learning_rate": 4.7467175306295647e-07,
|
180 |
+
"logits/chosen": 5704.5849609375,
|
181 |
+
"logits/rejected": 4630.22412109375,
|
182 |
+
"logps/chosen": -239.6920928955078,
|
183 |
+
"logps/rejected": -225.50222778320312,
|
184 |
+
"loss": 225.2349,
|
185 |
+
"rewards/accuracies": 0.5375000238418579,
|
186 |
+
"rewards/chosen": 0.3493049740791321,
|
187 |
+
"rewards/margins": 0.01561106275767088,
|
188 |
+
"rewards/rejected": 0.33369389176368713,
|
189 |
+
"step": 110
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.2512431300706621,
|
193 |
+
"grad_norm": 944.9549945207706,
|
194 |
+
"learning_rate": 4.6604720940421207e-07,
|
195 |
+
"logits/chosen": 5287.7451171875,
|
196 |
+
"logits/rejected": 4921.56884765625,
|
197 |
+
"logps/chosen": -233.7930908203125,
|
198 |
+
"logps/rejected": -231.26657104492188,
|
199 |
+
"loss": 229.5115,
|
200 |
+
"rewards/accuracies": 0.5093749761581421,
|
201 |
+
"rewards/chosen": 0.33385908603668213,
|
202 |
+
"rewards/margins": -0.022233102470636368,
|
203 |
+
"rewards/rejected": 0.356092244386673,
|
204 |
+
"step": 120
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 0.2721800575765506,
|
208 |
+
"grad_norm": 1276.812459526022,
|
209 |
+
"learning_rate": 4.5626458262912735e-07,
|
210 |
+
"logits/chosen": 5355.15576171875,
|
211 |
+
"logits/rejected": 4776.7998046875,
|
212 |
+
"logps/chosen": -236.29244995117188,
|
213 |
+
"logps/rejected": -233.30307006835938,
|
214 |
+
"loss": 221.8784,
|
215 |
+
"rewards/accuracies": 0.4937500059604645,
|
216 |
+
"rewards/chosen": 0.322248637676239,
|
217 |
+
"rewards/margins": -0.03480709344148636,
|
218 |
+
"rewards/rejected": 0.3570557236671448,
|
219 |
+
"step": 130
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.29311698508243916,
|
223 |
+
"grad_norm": 899.787701651727,
|
224 |
+
"learning_rate": 4.453763107901675e-07,
|
225 |
+
"logits/chosen": 5164.56640625,
|
226 |
+
"logits/rejected": 4602.421875,
|
227 |
+
"logps/chosen": -238.9141845703125,
|
228 |
+
"logps/rejected": -216.98031616210938,
|
229 |
+
"loss": 229.5713,
|
230 |
+
"rewards/accuracies": 0.518750011920929,
|
231 |
+
"rewards/chosen": 0.3299064338207245,
|
232 |
+
"rewards/margins": -0.011618844233453274,
|
233 |
+
"rewards/rejected": 0.34152525663375854,
|
234 |
+
"step": 140
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.31405391258832765,
|
238 |
+
"grad_norm": 1078.422410282313,
|
239 |
+
"learning_rate": 4.3344075855595097e-07,
|
240 |
+
"logits/chosen": 5692.89453125,
|
241 |
+
"logits/rejected": 4704.0322265625,
|
242 |
+
"logps/chosen": -256.35137939453125,
|
243 |
+
"logps/rejected": -216.76150512695312,
|
244 |
+
"loss": 214.8497,
|
245 |
+
"rewards/accuracies": 0.4937500059604645,
|
246 |
+
"rewards/chosen": 0.32763591408729553,
|
247 |
+
"rewards/margins": -0.019656497985124588,
|
248 |
+
"rewards/rejected": 0.347292423248291,
|
249 |
+
"step": 150
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.33499084009421615,
|
253 |
+
"grad_norm": 912.0955307736757,
|
254 |
+
"learning_rate": 4.2052190435769554e-07,
|
255 |
+
"logits/chosen": 5401.46875,
|
256 |
+
"logits/rejected": 4505.7705078125,
|
257 |
+
"logps/chosen": -245.025146484375,
|
258 |
+
"logps/rejected": -219.9535369873047,
|
259 |
+
"loss": 229.4244,
|
260 |
+
"rewards/accuracies": 0.5218750238418579,
|
261 |
+
"rewards/chosen": 0.3956901431083679,
|
262 |
+
"rewards/margins": 0.03144276887178421,
|
263 |
+
"rewards/rejected": 0.3642473816871643,
|
264 |
+
"step": 160
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 0.3559277676001047,
|
268 |
+
"grad_norm": 954.243569931957,
|
269 |
+
"learning_rate": 4.0668899744407567e-07,
|
270 |
+
"logits/chosen": 5647.60400390625,
|
271 |
+
"logits/rejected": 4826.2236328125,
|
272 |
+
"logps/chosen": -251.16824340820312,
|
273 |
+
"logps/rejected": -207.45095825195312,
|
274 |
+
"loss": 210.6987,
|
275 |
+
"rewards/accuracies": 0.515625,
|
276 |
+
"rewards/chosen": 0.3114745318889618,
|
277 |
+
"rewards/margins": -0.020466681569814682,
|
278 |
+
"rewards/rejected": 0.3319412171840668,
|
279 |
+
"step": 170
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.3768646951059932,
|
283 |
+
"grad_norm": 874.3975161439175,
|
284 |
+
"learning_rate": 3.920161866827889e-07,
|
285 |
+
"logits/chosen": 5324.474609375,
|
286 |
+
"logits/rejected": 4590.5234375,
|
287 |
+
"logps/chosen": -253.6103057861328,
|
288 |
+
"logps/rejected": -212.4313201904297,
|
289 |
+
"loss": 219.7222,
|
290 |
+
"rewards/accuracies": 0.46875,
|
291 |
+
"rewards/chosen": 0.33684980869293213,
|
292 |
+
"rewards/margins": -0.03864480182528496,
|
293 |
+
"rewards/rejected": 0.3754945993423462,
|
294 |
+
"step": 180
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 0.39780162261188173,
|
298 |
+
"grad_norm": 890.3703764703043,
|
299 |
+
"learning_rate": 3.765821230985757e-07,
|
300 |
+
"logits/chosen": 5454.69677734375,
|
301 |
+
"logits/rejected": 4614.9931640625,
|
302 |
+
"logps/chosen": -234.9591827392578,
|
303 |
+
"logps/rejected": -210.7035369873047,
|
304 |
+
"loss": 217.6231,
|
305 |
+
"rewards/accuracies": 0.46562498807907104,
|
306 |
+
"rewards/chosen": 0.3479231297969818,
|
307 |
+
"rewards/margins": -0.023874130100011826,
|
308 |
+
"rewards/rejected": 0.3717973232269287,
|
309 |
+
"step": 190
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.4187385501177702,
|
313 |
+
"grad_norm": 959.127096720511,
|
314 |
+
"learning_rate": 3.604695382782159e-07,
|
315 |
+
"logits/chosen": 5091.693359375,
|
316 |
+
"logits/rejected": 4443.45703125,
|
317 |
+
"logps/chosen": -221.46017456054688,
|
318 |
+
"logps/rejected": -207.1079864501953,
|
319 |
+
"loss": 222.0456,
|
320 |
+
"rewards/accuracies": 0.48750001192092896,
|
321 |
+
"rewards/chosen": 0.32890671491622925,
|
322 |
+
"rewards/margins": -0.028620053082704544,
|
323 |
+
"rewards/rejected": 0.3575268089771271,
|
324 |
+
"step": 200
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.4396754776236587,
|
328 |
+
"grad_norm": 977.743288922772,
|
329 |
+
"learning_rate": 3.4376480090239047e-07,
|
330 |
+
"logits/chosen": 5715.4208984375,
|
331 |
+
"logits/rejected": 4880.05615234375,
|
332 |
+
"logps/chosen": -251.9993896484375,
|
333 |
+
"logps/rejected": -224.98220825195312,
|
334 |
+
"loss": 225.9833,
|
335 |
+
"rewards/accuracies": 0.512499988079071,
|
336 |
+
"rewards/chosen": 0.3476799726486206,
|
337 |
+
"rewards/margins": -0.019533518701791763,
|
338 |
+
"rewards/rejected": 0.36721348762512207,
|
339 |
+
"step": 210
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.46061240512954726,
|
343 |
+
"grad_norm": 946.0452194833395,
|
344 |
+
"learning_rate": 3.265574537815398e-07,
|
345 |
+
"logits/chosen": 5137.0146484375,
|
346 |
+
"logits/rejected": 4787.4306640625,
|
347 |
+
"logps/chosen": -237.6749725341797,
|
348 |
+
"logps/rejected": -222.62771606445312,
|
349 |
+
"loss": 228.3879,
|
350 |
+
"rewards/accuracies": 0.484375,
|
351 |
+
"rewards/chosen": 0.3344074785709381,
|
352 |
+
"rewards/margins": -0.04275032505393028,
|
353 |
+
"rewards/rejected": 0.3771578073501587,
|
354 |
+
"step": 220
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 0.48154933263543576,
|
358 |
+
"grad_norm": 1021.1755452410538,
|
359 |
+
"learning_rate": 3.0893973387735683e-07,
|
360 |
+
"logits/chosen": 5326.5107421875,
|
361 |
+
"logits/rejected": 4527.2001953125,
|
362 |
+
"logps/chosen": -231.9087677001953,
|
363 |
+
"logps/rejected": -209.6526641845703,
|
364 |
+
"loss": 212.3704,
|
365 |
+
"rewards/accuracies": 0.4906249940395355,
|
366 |
+
"rewards/chosen": 0.36360007524490356,
|
367 |
+
"rewards/margins": 0.00580978998914361,
|
368 |
+
"rewards/rejected": 0.3577902913093567,
|
369 |
+
"step": 230
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.5024862601413242,
|
373 |
+
"grad_norm": 931.7653919091188,
|
374 |
+
"learning_rate": 2.910060778827554e-07,
|
375 |
+
"logits/chosen": 5480.38134765625,
|
376 |
+
"logits/rejected": 4673.6044921875,
|
377 |
+
"logps/chosen": -230.7592010498047,
|
378 |
+
"logps/rejected": -211.5625457763672,
|
379 |
+
"loss": 222.4007,
|
380 |
+
"rewards/accuracies": 0.512499988079071,
|
381 |
+
"rewards/chosen": 0.3481771647930145,
|
382 |
+
"rewards/margins": -0.034006811678409576,
|
383 |
+
"rewards/rejected": 0.3821839988231659,
|
384 |
+
"step": 240
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 0.5234231876472127,
|
388 |
+
"grad_norm": 893.8551271831342,
|
389 |
+
"learning_rate": 2.7285261601056697e-07,
|
390 |
+
"logits/chosen": 5610.1064453125,
|
391 |
+
"logits/rejected": 4743.2900390625,
|
392 |
+
"logps/chosen": -247.9258270263672,
|
393 |
+
"logps/rejected": -224.725341796875,
|
394 |
+
"loss": 218.3257,
|
395 |
+
"rewards/accuracies": 0.5,
|
396 |
+
"rewards/chosen": 0.38022834062576294,
|
397 |
+
"rewards/margins": 0.006729437503963709,
|
398 |
+
"rewards/rejected": 0.37349894642829895,
|
399 |
+
"step": 250
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 0.5443601151531012,
|
403 |
+
"grad_norm": 954.9590918842988,
|
404 |
+
"learning_rate": 2.5457665670441937e-07,
|
405 |
+
"logits/chosen": 5426.6806640625,
|
406 |
+
"logits/rejected": 4926.78076171875,
|
407 |
+
"logps/chosen": -248.59634399414062,
|
408 |
+
"logps/rejected": -222.47549438476562,
|
409 |
+
"loss": 216.7827,
|
410 |
+
"rewards/accuracies": 0.4593749940395355,
|
411 |
+
"rewards/chosen": 0.37472763657569885,
|
412 |
+
"rewards/margins": -0.011340203694999218,
|
413 |
+
"rewards/rejected": 0.38606783747673035,
|
414 |
+
"step": 260
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 0.5652970426589898,
|
418 |
+
"grad_norm": 980.2338179672311,
|
419 |
+
"learning_rate": 2.3627616503391812e-07,
|
420 |
+
"logits/chosen": 5509.77490234375,
|
421 |
+
"logits/rejected": 5063.6748046875,
|
422 |
+
"logps/chosen": -237.590576171875,
|
423 |
+
"logps/rejected": -221.60397338867188,
|
424 |
+
"loss": 214.9091,
|
425 |
+
"rewards/accuracies": 0.515625,
|
426 |
+
"rewards/chosen": 0.37023288011550903,
|
427 |
+
"rewards/margins": -0.017692191526293755,
|
428 |
+
"rewards/rejected": 0.38792508840560913,
|
429 |
+
"step": 270
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.5862339701648783,
|
433 |
+
"grad_norm": 882.5545431851971,
|
434 |
+
"learning_rate": 2.1804923757009882e-07,
|
435 |
+
"logits/chosen": 5514.5966796875,
|
436 |
+
"logits/rejected": 4599.09765625,
|
437 |
+
"logps/chosen": -245.1168212890625,
|
438 |
+
"logps/rejected": -208.6852569580078,
|
439 |
+
"loss": 216.9057,
|
440 |
+
"rewards/accuracies": 0.5062500238418579,
|
441 |
+
"rewards/chosen": 0.35608822107315063,
|
442 |
+
"rewards/margins": -0.02490018866956234,
|
443 |
+
"rewards/rejected": 0.3809884190559387,
|
444 |
+
"step": 280
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.6071708976707668,
|
448 |
+
"grad_norm": 1027.801450351746,
|
449 |
+
"learning_rate": 1.9999357655598891e-07,
|
450 |
+
"logits/chosen": 5770.27978515625,
|
451 |
+
"logits/rejected": 5421.36083984375,
|
452 |
+
"logps/chosen": -252.1714324951172,
|
453 |
+
"logps/rejected": -246.72555541992188,
|
454 |
+
"loss": 225.9217,
|
455 |
+
"rewards/accuracies": 0.4593749940395355,
|
456 |
+
"rewards/chosen": 0.3926265239715576,
|
457 |
+
"rewards/margins": -0.11933328956365585,
|
458 |
+
"rewards/rejected": 0.5119598507881165,
|
459 |
+
"step": 290
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.6281078251766553,
|
463 |
+
"grad_norm": 983.8896941735266,
|
464 |
+
"learning_rate": 1.8220596619089573e-07,
|
465 |
+
"logits/chosen": 5291.69921875,
|
466 |
+
"logits/rejected": 4989.41064453125,
|
467 |
+
"logps/chosen": -236.5386962890625,
|
468 |
+
"logps/rejected": -229.07266235351562,
|
469 |
+
"loss": 226.711,
|
470 |
+
"rewards/accuracies": 0.48124998807907104,
|
471 |
+
"rewards/chosen": 0.3481127917766571,
|
472 |
+
"rewards/margins": -0.07034964859485626,
|
473 |
+
"rewards/rejected": 0.4184624254703522,
|
474 |
+
"step": 300
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 0.6490447526825438,
|
478 |
+
"grad_norm": 972.552350701513,
|
479 |
+
"learning_rate": 1.647817538357072e-07,
|
480 |
+
"logits/chosen": 5905.65380859375,
|
481 |
+
"logits/rejected": 5196.03125,
|
482 |
+
"logps/chosen": -250.03976440429688,
|
483 |
+
"logps/rejected": -230.9469757080078,
|
484 |
+
"loss": 216.3124,
|
485 |
+
"rewards/accuracies": 0.528124988079071,
|
486 |
+
"rewards/chosen": 0.40789794921875,
|
487 |
+
"rewards/margins": 0.021800601854920387,
|
488 |
+
"rewards/rejected": 0.38609737157821655,
|
489 |
+
"step": 310
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 0.6699816801884323,
|
493 |
+
"grad_norm": 923.1332436203306,
|
494 |
+
"learning_rate": 1.478143389201113e-07,
|
495 |
+
"logits/chosen": 5463.5693359375,
|
496 |
+
"logits/rejected": 4749.58837890625,
|
497 |
+
"logps/chosen": -235.2841796875,
|
498 |
+
"logps/rejected": -219.2712860107422,
|
499 |
+
"loss": 217.7832,
|
500 |
+
"rewards/accuracies": 0.4593749940395355,
|
501 |
+
"rewards/chosen": 0.3657926023006439,
|
502 |
+
"rewards/margins": -0.039618875831365585,
|
503 |
+
"rewards/rejected": 0.4054114818572998,
|
504 |
+
"step": 320
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 0.6909186076943209,
|
508 |
+
"grad_norm": 965.0967343991006,
|
509 |
+
"learning_rate": 1.3139467229135998e-07,
|
510 |
+
"logits/chosen": 5287.45947265625,
|
511 |
+
"logits/rejected": 4928.7021484375,
|
512 |
+
"logps/chosen": -241.1490478515625,
|
513 |
+
"logps/rejected": -224.2013397216797,
|
514 |
+
"loss": 219.6799,
|
515 |
+
"rewards/accuracies": 0.453125,
|
516 |
+
"rewards/chosen": 0.35635194182395935,
|
517 |
+
"rewards/margins": -0.044928766787052155,
|
518 |
+
"rewards/rejected": 0.4012807309627533,
|
519 |
+
"step": 330
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 0.7118555352002094,
|
523 |
+
"grad_norm": 915.8564126507746,
|
524 |
+
"learning_rate": 1.1561076868822755e-07,
|
525 |
+
"logits/chosen": 5126.6953125,
|
526 |
+
"logits/rejected": 4468.2080078125,
|
527 |
+
"logps/chosen": -218.98098754882812,
|
528 |
+
"logps/rejected": -202.6676483154297,
|
529 |
+
"loss": 211.1805,
|
530 |
+
"rewards/accuracies": 0.515625,
|
531 |
+
"rewards/chosen": 0.3858596980571747,
|
532 |
+
"rewards/margins": 0.0005099147674627602,
|
533 |
+
"rewards/rejected": 0.3853498101234436,
|
534 |
+
"step": 340
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.7327924627060979,
|
538 |
+
"grad_norm": 914.8488378330155,
|
539 |
+
"learning_rate": 1.0054723495346482e-07,
|
540 |
+
"logits/chosen": 5789.267578125,
|
541 |
+
"logits/rejected": 4720.3525390625,
|
542 |
+
"logps/chosen": -260.73028564453125,
|
543 |
+
"logps/rejected": -228.9587860107422,
|
544 |
+
"loss": 222.0229,
|
545 |
+
"rewards/accuracies": 0.5218750238418579,
|
546 |
+
"rewards/chosen": 0.40184181928634644,
|
547 |
+
"rewards/margins": 0.008045284077525139,
|
548 |
+
"rewards/rejected": 0.39379650354385376,
|
549 |
+
"step": 350
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.7537293902119864,
|
553 |
+
"grad_norm": 876.5437019392028,
|
554 |
+
"learning_rate": 8.628481651367875e-08,
|
555 |
+
"logits/chosen": 5485.41943359375,
|
556 |
+
"logits/rejected": 4798.8369140625,
|
557 |
+
"logps/chosen": -239.21206665039062,
|
558 |
+
"logps/rejected": -218.1109161376953,
|
559 |
+
"loss": 212.415,
|
560 |
+
"rewards/accuracies": 0.5,
|
561 |
+
"rewards/chosen": 0.3851151466369629,
|
562 |
+
"rewards/margins": -0.016298171132802963,
|
563 |
+
"rewards/rejected": 0.40141329169273376,
|
564 |
+
"step": 360
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 0.7746663177178749,
|
568 |
+
"grad_norm": 862.6497945839665,
|
569 |
+
"learning_rate": 7.289996455765748e-08,
|
570 |
+
"logits/chosen": 5362.8544921875,
|
571 |
+
"logits/rejected": 4595.103515625,
|
572 |
+
"logps/chosen": -254.4463653564453,
|
573 |
+
"logps/rejected": -221.9584197998047,
|
574 |
+
"loss": 216.0785,
|
575 |
+
"rewards/accuracies": 0.528124988079071,
|
576 |
+
"rewards/chosen": 0.34346675872802734,
|
577 |
+
"rewards/margins": -0.006593307945877314,
|
578 |
+
"rewards/rejected": 0.3500600755214691,
|
579 |
+
"step": 370
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 0.7956032452237635,
|
583 |
+
"grad_norm": 932.2858564856045,
|
584 |
+
"learning_rate": 6.046442623320145e-08,
|
585 |
+
"logits/chosen": 5608.267578125,
|
586 |
+
"logits/rejected": 4909.3837890625,
|
587 |
+
"logps/chosen": -249.43460083007812,
|
588 |
+
"logps/rejected": -211.33786010742188,
|
589 |
+
"loss": 222.1436,
|
590 |
+
"rewards/accuracies": 0.47187501192092896,
|
591 |
+
"rewards/chosen": 0.3526684641838074,
|
592 |
+
"rewards/margins": -0.04252925515174866,
|
593 |
+
"rewards/rejected": 0.39519768953323364,
|
594 |
+
"step": 380
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 0.816540172729652,
|
598 |
+
"grad_norm": 957.8822198142358,
|
599 |
+
"learning_rate": 4.904486005914027e-08,
|
600 |
+
"logits/chosen": 5878.46630859375,
|
601 |
+
"logits/rejected": 5202.1943359375,
|
602 |
+
"logps/chosen": -251.19577026367188,
|
603 |
+
"logps/rejected": -233.38088989257812,
|
604 |
+
"loss": 223.1316,
|
605 |
+
"rewards/accuracies": 0.49687498807907104,
|
606 |
+
"rewards/chosen": 0.40553656220436096,
|
607 |
+
"rewards/margins": -0.008421207778155804,
|
608 |
+
"rewards/rejected": 0.41395774483680725,
|
609 |
+
"step": 390
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 0.8374771002355405,
|
613 |
+
"grad_norm": 893.9334894466286,
|
614 |
+
"learning_rate": 3.8702478614051345e-08,
|
615 |
+
"logits/chosen": 5456.71435546875,
|
616 |
+
"logits/rejected": 4864.9521484375,
|
617 |
+
"logps/chosen": -250.51095581054688,
|
618 |
+
"logps/rejected": -213.61160278320312,
|
619 |
+
"loss": 220.8271,
|
620 |
+
"rewards/accuracies": 0.4906249940395355,
|
621 |
+
"rewards/chosen": 0.4039316773414612,
|
622 |
+
"rewards/margins": -0.01853012666106224,
|
623 |
+
"rewards/rejected": 0.4224618077278137,
|
624 |
+
"step": 400
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 0.8584140277414289,
|
628 |
+
"grad_norm": 917.1537249021089,
|
629 |
+
"learning_rate": 2.9492720416985e-08,
|
630 |
+
"logits/chosen": 5479.6455078125,
|
631 |
+
"logits/rejected": 4854.544921875,
|
632 |
+
"logps/chosen": -236.3294677734375,
|
633 |
+
"logps/rejected": -217.6251220703125,
|
634 |
+
"loss": 221.5988,
|
635 |
+
"rewards/accuracies": 0.5249999761581421,
|
636 |
+
"rewards/chosen": 0.4553787112236023,
|
637 |
+
"rewards/margins": -0.1794721484184265,
|
638 |
+
"rewards/rejected": 0.6348508596420288,
|
639 |
+
"step": 410
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.8793509552473174,
|
643 |
+
"grad_norm": 963.815826471618,
|
644 |
+
"learning_rate": 2.1464952759020856e-08,
|
645 |
+
"logits/chosen": 5807.9521484375,
|
646 |
+
"logits/rejected": 5086.6845703125,
|
647 |
+
"logps/chosen": -253.22854614257812,
|
648 |
+
"logps/rejected": -232.03866577148438,
|
649 |
+
"loss": 218.956,
|
650 |
+
"rewards/accuracies": 0.4312500059604645,
|
651 |
+
"rewards/chosen": 0.38750648498535156,
|
652 |
+
"rewards/margins": -0.016989920288324356,
|
653 |
+
"rewards/rejected": 0.40449637174606323,
|
654 |
+
"step": 420
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 0.9002878827532059,
|
658 |
+
"grad_norm": 1577.2268425412074,
|
659 |
+
"learning_rate": 1.4662207078575684e-08,
|
660 |
+
"logits/chosen": 5714.33251953125,
|
661 |
+
"logits/rejected": 4623.4052734375,
|
662 |
+
"logps/chosen": -248.07272338867188,
|
663 |
+
"logps/rejected": -219.09396362304688,
|
664 |
+
"loss": 211.869,
|
665 |
+
"rewards/accuracies": 0.53125,
|
666 |
+
"rewards/chosen": 0.39529919624328613,
|
667 |
+
"rewards/margins": 0.011650885455310345,
|
668 |
+
"rewards/rejected": 0.3836483359336853,
|
669 |
+
"step": 430
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 0.9212248102590945,
|
673 |
+
"grad_norm": 890.353373232557,
|
674 |
+
"learning_rate": 9.12094829893642e-09,
|
675 |
+
"logits/chosen": 5540.88134765625,
|
676 |
+
"logits/rejected": 5293.84912109375,
|
677 |
+
"logps/chosen": -243.41299438476562,
|
678 |
+
"logps/rejected": -236.95791625976562,
|
679 |
+
"loss": 216.8079,
|
680 |
+
"rewards/accuracies": 0.4468750059604645,
|
681 |
+
"rewards/chosen": 0.35130536556243896,
|
682 |
+
"rewards/margins": -0.039575204253196716,
|
683 |
+
"rewards/rejected": 0.3908805251121521,
|
684 |
+
"step": 440
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 0.942161737764983,
|
688 |
+
"grad_norm": 910.2914323549969,
|
689 |
+
"learning_rate": 4.8708793644441086e-09,
|
690 |
+
"logits/chosen": 5690.5556640625,
|
691 |
+
"logits/rejected": 4916.1923828125,
|
692 |
+
"logps/chosen": -252.1903839111328,
|
693 |
+
"logps/rejected": -218.7462158203125,
|
694 |
+
"loss": 213.594,
|
695 |
+
"rewards/accuracies": 0.45625001192092896,
|
696 |
+
"rewards/chosen": 0.3814484477043152,
|
697 |
+
"rewards/margins": -0.04559388756752014,
|
698 |
+
"rewards/rejected": 0.4270423352718353,
|
699 |
+
"step": 450
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 0.9630986652708715,
|
703 |
+
"grad_norm": 930.7189662835303,
|
704 |
+
"learning_rate": 1.9347820230782295e-09,
|
705 |
+
"logits/chosen": 5878.43408203125,
|
706 |
+
"logits/rejected": 4987.50341796875,
|
707 |
+
"logps/chosen": -272.1065979003906,
|
708 |
+
"logps/rejected": -240.8032989501953,
|
709 |
+
"loss": 232.251,
|
710 |
+
"rewards/accuracies": 0.4781250059604645,
|
711 |
+
"rewards/chosen": 0.4089243412017822,
|
712 |
+
"rewards/margins": -0.040169842541217804,
|
713 |
+
"rewards/rejected": 0.44909414649009705,
|
714 |
+
"step": 460
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 0.98403559277676,
|
718 |
+
"grad_norm": 942.5169399812006,
|
719 |
+
"learning_rate": 3.2839470889836627e-10,
|
720 |
+
"logits/chosen": 5481.58837890625,
|
721 |
+
"logits/rejected": 4879.6376953125,
|
722 |
+
"logps/chosen": -240.8720245361328,
|
723 |
+
"logps/rejected": -215.34402465820312,
|
724 |
+
"loss": 214.6576,
|
725 |
+
"rewards/accuracies": 0.4781250059604645,
|
726 |
+
"rewards/chosen": 0.3996717035770416,
|
727 |
+
"rewards/margins": -0.024916449561715126,
|
728 |
+
"rewards/rejected": 0.424588143825531,
|
729 |
+
"step": 470
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 0.998691442030882,
|
733 |
+
"step": 477,
|
734 |
+
"total_flos": 0.0,
|
735 |
+
"train_loss": 222.93432777132878,
|
736 |
+
"train_runtime": 12805.5892,
|
737 |
+
"train_samples_per_second": 4.774,
|
738 |
+
"train_steps_per_second": 0.037
|
739 |
+
}
|
740 |
+
],
|
741 |
+
"logging_steps": 10,
|
742 |
+
"max_steps": 477,
|
743 |
+
"num_input_tokens_seen": 0,
|
744 |
+
"num_train_epochs": 1,
|
745 |
+
"save_steps": 1000,
|
746 |
+
"stateful_callbacks": {
|
747 |
+
"TrainerControl": {
|
748 |
+
"args": {
|
749 |
+
"should_epoch_stop": false,
|
750 |
+
"should_evaluate": false,
|
751 |
+
"should_log": false,
|
752 |
+
"should_save": false,
|
753 |
+
"should_training_stop": false
|
754 |
+
},
|
755 |
+
"attributes": {}
|
756 |
+
}
|
757 |
+
},
|
758 |
+
"total_flos": 0.0,
|
759 |
+
"train_batch_size": 4,
|
760 |
+
"trial_name": null,
|
761 |
+
"trial_params": null
|
762 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ea87752e42485142f83a4ce455d0f59532959f5bbdd6308775fdb2047ebc3b9c
|
3 |
+
size 7352
|