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: zephyr-7b-IL_DPOBPBase-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 |
+
# zephyr-7b-IL_DPOBPBase-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": 0.6354130409048788,
|
5 |
+
"train_runtime": 12872.7493,
|
6 |
+
"train_samples": 61135,
|
7 |
+
"train_samples_per_second": 4.749,
|
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 sha256:7cd25ce42e62592228b21a9fc8136af4f348dc3056bcf5eb7b183ee2ae683cc3
|
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:cee37dcb8f64bad9147e17940f1d8160d3ff2e4a1179ba1f9e55c1578831756b
|
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:bb0235874d14045a7279f31b590ccce3039010a75cb9c00376dff0063e058cf6
|
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": 0.6354130409048788,
|
5 |
+
"train_runtime": 12872.7493,
|
6 |
+
"train_samples": 61135,
|
7 |
+
"train_samples_per_second": 4.749,
|
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": 4.60553352196104,
|
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": 0.6931,
|
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": 3.906214184095967,
|
29 |
+
"learning_rate": 1.0416666666666667e-07,
|
30 |
+
"logits/chosen": 5977.31591796875,
|
31 |
+
"logits/rejected": 5015.41943359375,
|
32 |
+
"logps/chosen": -292.51190185546875,
|
33 |
+
"logps/rejected": -259.33819580078125,
|
34 |
+
"loss": 0.6931,
|
35 |
+
"rewards/accuracies": 0.4791666567325592,
|
36 |
+
"rewards/chosen": 0.0004885931266471744,
|
37 |
+
"rewards/margins": 0.0006340253748930991,
|
38 |
+
"rewards/rejected": -0.00014543221914209425,
|
39 |
+
"step": 10
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.04187385501177702,
|
43 |
+
"grad_norm": 4.408104522173234,
|
44 |
+
"learning_rate": 2.0833333333333333e-07,
|
45 |
+
"logits/chosen": 5877.7744140625,
|
46 |
+
"logits/rejected": 4856.02734375,
|
47 |
+
"logps/chosen": -290.4228820800781,
|
48 |
+
"logps/rejected": -249.76522827148438,
|
49 |
+
"loss": 0.6927,
|
50 |
+
"rewards/accuracies": 0.6000000238418579,
|
51 |
+
"rewards/chosen": 0.0017061525722965598,
|
52 |
+
"rewards/margins": 0.002024381887167692,
|
53 |
+
"rewards/rejected": -0.00031822946039028466,
|
54 |
+
"step": 20
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 0.06281078251766553,
|
58 |
+
"grad_norm": 4.1323992714408995,
|
59 |
+
"learning_rate": 3.1249999999999997e-07,
|
60 |
+
"logits/chosen": 5644.30419921875,
|
61 |
+
"logits/rejected": 4922.60302734375,
|
62 |
+
"logps/chosen": -270.80462646484375,
|
63 |
+
"logps/rejected": -238.2168426513672,
|
64 |
+
"loss": 0.6907,
|
65 |
+
"rewards/accuracies": 0.5874999761581421,
|
66 |
+
"rewards/chosen": 0.014328369870781898,
|
67 |
+
"rewards/margins": 0.008474691770970821,
|
68 |
+
"rewards/rejected": 0.00585367763414979,
|
69 |
+
"step": 30
|
70 |
+
},
|
71 |
+
{
|
72 |
+
"epoch": 0.08374771002355404,
|
73 |
+
"grad_norm": 3.9871215863103235,
|
74 |
+
"learning_rate": 4.1666666666666667e-07,
|
75 |
+
"logits/chosen": 5738.802734375,
|
76 |
+
"logits/rejected": 4992.0400390625,
|
77 |
+
"logps/chosen": -269.14434814453125,
|
78 |
+
"logps/rejected": -256.4861145019531,
|
79 |
+
"loss": 0.6855,
|
80 |
+
"rewards/accuracies": 0.6656249761581421,
|
81 |
+
"rewards/chosen": 0.048127662390470505,
|
82 |
+
"rewards/margins": 0.028449412435293198,
|
83 |
+
"rewards/rejected": 0.019678251817822456,
|
84 |
+
"step": 40
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 0.10468463752944256,
|
88 |
+
"grad_norm": 4.4563458428725395,
|
89 |
+
"learning_rate": 4.999731868769026e-07,
|
90 |
+
"logits/chosen": 6019.1103515625,
|
91 |
+
"logits/rejected": 5225.02392578125,
|
92 |
+
"logps/chosen": -276.1994323730469,
|
93 |
+
"logps/rejected": -271.67559814453125,
|
94 |
+
"loss": 0.679,
|
95 |
+
"rewards/accuracies": 0.6812499761581421,
|
96 |
+
"rewards/chosen": 0.024182714521884918,
|
97 |
+
"rewards/margins": 0.0657457783818245,
|
98 |
+
"rewards/rejected": -0.04156306013464928,
|
99 |
+
"step": 50
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.12562156503533106,
|
103 |
+
"grad_norm": 5.034590628294388,
|
104 |
+
"learning_rate": 4.990353313429303e-07,
|
105 |
+
"logits/chosen": 5789.7138671875,
|
106 |
+
"logits/rejected": 4927.72412109375,
|
107 |
+
"logps/chosen": -283.95257568359375,
|
108 |
+
"logps/rejected": -268.9764709472656,
|
109 |
+
"loss": 0.6716,
|
110 |
+
"rewards/accuracies": 0.6812499761581421,
|
111 |
+
"rewards/chosen": -0.055300962179899216,
|
112 |
+
"rewards/margins": 0.11967425048351288,
|
113 |
+
"rewards/rejected": -0.1749752014875412,
|
114 |
+
"step": 60
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.14655849254121958,
|
118 |
+
"grad_norm": 6.512738637492193,
|
119 |
+
"learning_rate": 4.967625656594781e-07,
|
120 |
+
"logits/chosen": 5590.95166015625,
|
121 |
+
"logits/rejected": 5145.8408203125,
|
122 |
+
"logps/chosen": -288.2838439941406,
|
123 |
+
"logps/rejected": -293.23541259765625,
|
124 |
+
"loss": 0.664,
|
125 |
+
"rewards/accuracies": 0.6625000238418579,
|
126 |
+
"rewards/chosen": -0.09975917637348175,
|
127 |
+
"rewards/margins": 0.16456229984760284,
|
128 |
+
"rewards/rejected": -0.2643214762210846,
|
129 |
+
"step": 70
|
130 |
+
},
|
131 |
+
{
|
132 |
+
"epoch": 0.16749542004710807,
|
133 |
+
"grad_norm": 6.2250099209512655,
|
134 |
+
"learning_rate": 4.93167072587771e-07,
|
135 |
+
"logits/chosen": 5744.78662109375,
|
136 |
+
"logits/rejected": 4929.46435546875,
|
137 |
+
"logps/chosen": -284.8975524902344,
|
138 |
+
"logps/rejected": -283.4288330078125,
|
139 |
+
"loss": 0.6577,
|
140 |
+
"rewards/accuracies": 0.6781250238418579,
|
141 |
+
"rewards/chosen": -0.08810611069202423,
|
142 |
+
"rewards/margins": 0.21545740962028503,
|
143 |
+
"rewards/rejected": -0.30356353521347046,
|
144 |
+
"step": 80
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 0.1884323475529966,
|
148 |
+
"grad_norm": 6.510058896775878,
|
149 |
+
"learning_rate": 4.882681251368548e-07,
|
150 |
+
"logits/chosen": 5883.4892578125,
|
151 |
+
"logits/rejected": 4958.2470703125,
|
152 |
+
"logps/chosen": -292.3514709472656,
|
153 |
+
"logps/rejected": -294.89471435546875,
|
154 |
+
"loss": 0.6536,
|
155 |
+
"rewards/accuracies": 0.684374988079071,
|
156 |
+
"rewards/chosen": -0.14643868803977966,
|
157 |
+
"rewards/margins": 0.2527722418308258,
|
158 |
+
"rewards/rejected": -0.39921098947525024,
|
159 |
+
"step": 90
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 0.2093692750588851,
|
163 |
+
"grad_norm": 9.163808135102661,
|
164 |
+
"learning_rate": 4.820919832540181e-07,
|
165 |
+
"logits/chosen": 5974.72802734375,
|
166 |
+
"logits/rejected": 5452.3408203125,
|
167 |
+
"logps/chosen": -311.05804443359375,
|
168 |
+
"logps/rejected": -347.23944091796875,
|
169 |
+
"loss": 0.6466,
|
170 |
+
"rewards/accuracies": 0.699999988079071,
|
171 |
+
"rewards/chosen": -0.3118935227394104,
|
172 |
+
"rewards/margins": 0.41534680128097534,
|
173 |
+
"rewards/rejected": -0.727240264415741,
|
174 |
+
"step": 100
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 0.23030620256477363,
|
178 |
+
"grad_norm": 7.986681346223677,
|
179 |
+
"learning_rate": 4.7467175306295647e-07,
|
180 |
+
"logits/chosen": 6145.7939453125,
|
181 |
+
"logits/rejected": 4966.3818359375,
|
182 |
+
"logps/chosen": -318.4931640625,
|
183 |
+
"logps/rejected": -344.3719177246094,
|
184 |
+
"loss": 0.6384,
|
185 |
+
"rewards/accuracies": 0.7093750238418579,
|
186 |
+
"rewards/chosen": -0.4387056231498718,
|
187 |
+
"rewards/margins": 0.4162977337837219,
|
188 |
+
"rewards/rejected": -0.8550033569335938,
|
189 |
+
"step": 110
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.2512431300706621,
|
193 |
+
"grad_norm": 9.318478390808158,
|
194 |
+
"learning_rate": 4.6604720940421207e-07,
|
195 |
+
"logits/chosen": 5758.07373046875,
|
196 |
+
"logits/rejected": 5305.98193359375,
|
197 |
+
"logps/chosen": -309.2460632324219,
|
198 |
+
"logps/rejected": -346.93157958984375,
|
199 |
+
"loss": 0.6446,
|
200 |
+
"rewards/accuracies": 0.699999988079071,
|
201 |
+
"rewards/chosen": -0.42067036032676697,
|
202 |
+
"rewards/margins": 0.3798871636390686,
|
203 |
+
"rewards/rejected": -0.8005574941635132,
|
204 |
+
"step": 120
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 0.2721800575765506,
|
208 |
+
"grad_norm": 12.596663584835428,
|
209 |
+
"learning_rate": 4.5626458262912735e-07,
|
210 |
+
"logits/chosen": 5819.57373046875,
|
211 |
+
"logits/rejected": 5167.3623046875,
|
212 |
+
"logps/chosen": -298.8730163574219,
|
213 |
+
"logps/rejected": -338.01397705078125,
|
214 |
+
"loss": 0.6418,
|
215 |
+
"rewards/accuracies": 0.675000011920929,
|
216 |
+
"rewards/chosen": -0.3035568296909332,
|
217 |
+
"rewards/margins": 0.3864966928958893,
|
218 |
+
"rewards/rejected": -0.6900535225868225,
|
219 |
+
"step": 130
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.29311698508243916,
|
223 |
+
"grad_norm": 8.250031153064022,
|
224 |
+
"learning_rate": 4.453763107901675e-07,
|
225 |
+
"logits/chosen": 5601.96484375,
|
226 |
+
"logits/rejected": 4937.931640625,
|
227 |
+
"logps/chosen": -306.513427734375,
|
228 |
+
"logps/rejected": -329.6960754394531,
|
229 |
+
"loss": 0.6421,
|
230 |
+
"rewards/accuracies": 0.699999988079071,
|
231 |
+
"rewards/chosen": -0.3460861146450043,
|
232 |
+
"rewards/margins": 0.4395461976528168,
|
233 |
+
"rewards/rejected": -0.785632312297821,
|
234 |
+
"step": 140
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 0.31405391258832765,
|
238 |
+
"grad_norm": 10.215191441356916,
|
239 |
+
"learning_rate": 4.3344075855595097e-07,
|
240 |
+
"logits/chosen": 6188.27392578125,
|
241 |
+
"logits/rejected": 5056.6064453125,
|
242 |
+
"logps/chosen": -325.03436279296875,
|
243 |
+
"logps/rejected": -337.5921630859375,
|
244 |
+
"loss": 0.6367,
|
245 |
+
"rewards/accuracies": 0.71875,
|
246 |
+
"rewards/chosen": -0.3591935336589813,
|
247 |
+
"rewards/margins": 0.5018205642700195,
|
248 |
+
"rewards/rejected": -0.8610140681266785,
|
249 |
+
"step": 150
|
250 |
+
},
|
251 |
+
{
|
252 |
+
"epoch": 0.33499084009421615,
|
253 |
+
"grad_norm": 11.588598413111276,
|
254 |
+
"learning_rate": 4.2052190435769554e-07,
|
255 |
+
"logits/chosen": 5836.8857421875,
|
256 |
+
"logits/rejected": 4833.65673828125,
|
257 |
+
"logps/chosen": -338.6114807128906,
|
258 |
+
"logps/rejected": -368.7120056152344,
|
259 |
+
"loss": 0.6254,
|
260 |
+
"rewards/accuracies": 0.737500011920929,
|
261 |
+
"rewards/chosen": -0.5401726961135864,
|
262 |
+
"rewards/margins": 0.583164393901825,
|
263 |
+
"rewards/rejected": -1.1233372688293457,
|
264 |
+
"step": 160
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 0.3559277676001047,
|
268 |
+
"grad_norm": 16.573341127038365,
|
269 |
+
"learning_rate": 4.0668899744407567e-07,
|
270 |
+
"logits/chosen": 6162.7734375,
|
271 |
+
"logits/rejected": 5209.9150390625,
|
272 |
+
"logps/chosen": -329.6107482910156,
|
273 |
+
"logps/rejected": -334.8266906738281,
|
274 |
+
"loss": 0.6289,
|
275 |
+
"rewards/accuracies": 0.737500011920929,
|
276 |
+
"rewards/chosen": -0.47295036911964417,
|
277 |
+
"rewards/margins": 0.46886569261550903,
|
278 |
+
"rewards/rejected": -0.941815972328186,
|
279 |
+
"step": 170
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.3768646951059932,
|
283 |
+
"grad_norm": 8.541127331717703,
|
284 |
+
"learning_rate": 3.920161866827889e-07,
|
285 |
+
"logits/chosen": 5801.9912109375,
|
286 |
+
"logits/rejected": 4906.3310546875,
|
287 |
+
"logps/chosen": -352.50616455078125,
|
288 |
+
"logps/rejected": -369.984375,
|
289 |
+
"loss": 0.6347,
|
290 |
+
"rewards/accuracies": 0.721875011920929,
|
291 |
+
"rewards/chosen": -0.6521086096763611,
|
292 |
+
"rewards/margins": 0.5479272603988647,
|
293 |
+
"rewards/rejected": -1.200035810470581,
|
294 |
+
"step": 180
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 0.39780162261188173,
|
298 |
+
"grad_norm": 10.691736891405624,
|
299 |
+
"learning_rate": 3.765821230985757e-07,
|
300 |
+
"logits/chosen": 5942.0029296875,
|
301 |
+
"logits/rejected": 4911.9306640625,
|
302 |
+
"logps/chosen": -313.849853515625,
|
303 |
+
"logps/rejected": -363.1335144042969,
|
304 |
+
"loss": 0.6223,
|
305 |
+
"rewards/accuracies": 0.75,
|
306 |
+
"rewards/chosen": -0.44098320603370667,
|
307 |
+
"rewards/margins": 0.7115194201469421,
|
308 |
+
"rewards/rejected": -1.1525026559829712,
|
309 |
+
"step": 190
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 0.4187385501177702,
|
313 |
+
"grad_norm": 12.414499403080086,
|
314 |
+
"learning_rate": 3.604695382782159e-07,
|
315 |
+
"logits/chosen": 5570.83056640625,
|
316 |
+
"logits/rejected": 4781.8603515625,
|
317 |
+
"logps/chosen": -307.8031921386719,
|
318 |
+
"logps/rejected": -357.94049072265625,
|
319 |
+
"loss": 0.6348,
|
320 |
+
"rewards/accuracies": 0.71875,
|
321 |
+
"rewards/chosen": -0.5345231294631958,
|
322 |
+
"rewards/margins": 0.6162750720977783,
|
323 |
+
"rewards/rejected": -1.1507983207702637,
|
324 |
+
"step": 200
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.4396754776236587,
|
328 |
+
"grad_norm": 9.725871680307973,
|
329 |
+
"learning_rate": 3.4376480090239047e-07,
|
330 |
+
"logits/chosen": 6185.18505859375,
|
331 |
+
"logits/rejected": 5210.94775390625,
|
332 |
+
"logps/chosen": -344.7357177734375,
|
333 |
+
"logps/rejected": -370.8301696777344,
|
334 |
+
"loss": 0.6292,
|
335 |
+
"rewards/accuracies": 0.7406250238418579,
|
336 |
+
"rewards/chosen": -0.5796831846237183,
|
337 |
+
"rewards/margins": 0.5115828514099121,
|
338 |
+
"rewards/rejected": -1.0912659168243408,
|
339 |
+
"step": 210
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.46061240512954726,
|
343 |
+
"grad_norm": 10.26939339999947,
|
344 |
+
"learning_rate": 3.265574537815398e-07,
|
345 |
+
"logits/chosen": 5568.31298828125,
|
346 |
+
"logits/rejected": 5116.90087890625,
|
347 |
+
"logps/chosen": -316.9978942871094,
|
348 |
+
"logps/rejected": -368.52630615234375,
|
349 |
+
"loss": 0.6218,
|
350 |
+
"rewards/accuracies": 0.800000011920929,
|
351 |
+
"rewards/chosen": -0.45882177352905273,
|
352 |
+
"rewards/margins": 0.6230064630508423,
|
353 |
+
"rewards/rejected": -1.0818283557891846,
|
354 |
+
"step": 220
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 0.48154933263543576,
|
358 |
+
"grad_norm": 11.837301535764077,
|
359 |
+
"learning_rate": 3.0893973387735683e-07,
|
360 |
+
"logits/chosen": 5724.6162109375,
|
361 |
+
"logits/rejected": 4797.6650390625,
|
362 |
+
"logps/chosen": -357.8770446777344,
|
363 |
+
"logps/rejected": -405.49285888671875,
|
364 |
+
"loss": 0.6198,
|
365 |
+
"rewards/accuracies": 0.7718750238418579,
|
366 |
+
"rewards/chosen": -0.8960827589035034,
|
367 |
+
"rewards/margins": 0.7045291066169739,
|
368 |
+
"rewards/rejected": -1.600611925125122,
|
369 |
+
"step": 230
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.5024862601413242,
|
373 |
+
"grad_norm": 11.232499614895293,
|
374 |
+
"learning_rate": 2.910060778827554e-07,
|
375 |
+
"logits/chosen": 5925.3447265625,
|
376 |
+
"logits/rejected": 4943.4423828125,
|
377 |
+
"logps/chosen": -331.6304931640625,
|
378 |
+
"logps/rejected": -372.5296325683594,
|
379 |
+
"loss": 0.6256,
|
380 |
+
"rewards/accuracies": 0.737500011920929,
|
381 |
+
"rewards/chosen": -0.6605360507965088,
|
382 |
+
"rewards/margins": 0.5669505000114441,
|
383 |
+
"rewards/rejected": -1.2274866104125977,
|
384 |
+
"step": 240
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 0.5234231876472127,
|
388 |
+
"grad_norm": 12.90825856853013,
|
389 |
+
"learning_rate": 2.7285261601056697e-07,
|
390 |
+
"logits/chosen": 6004.00732421875,
|
391 |
+
"logits/rejected": 5001.3466796875,
|
392 |
+
"logps/chosen": -353.7926330566406,
|
393 |
+
"logps/rejected": -393.0778503417969,
|
394 |
+
"loss": 0.6308,
|
395 |
+
"rewards/accuracies": 0.734375,
|
396 |
+
"rewards/chosen": -0.6784394383430481,
|
397 |
+
"rewards/margins": 0.6315867900848389,
|
398 |
+
"rewards/rejected": -1.3100261688232422,
|
399 |
+
"step": 250
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 0.5443601151531012,
|
403 |
+
"grad_norm": 13.478020063581878,
|
404 |
+
"learning_rate": 2.5457665670441937e-07,
|
405 |
+
"logits/chosen": 5818.59130859375,
|
406 |
+
"logits/rejected": 5201.59130859375,
|
407 |
+
"logps/chosen": -355.6083068847656,
|
408 |
+
"logps/rejected": -395.66754150390625,
|
409 |
+
"loss": 0.6232,
|
410 |
+
"rewards/accuracies": 0.78125,
|
411 |
+
"rewards/chosen": -0.6953917145729065,
|
412 |
+
"rewards/margins": 0.6504613757133484,
|
413 |
+
"rewards/rejected": -1.3458532094955444,
|
414 |
+
"step": 260
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 0.5652970426589898,
|
418 |
+
"grad_norm": 11.290710956607453,
|
419 |
+
"learning_rate": 2.3627616503391812e-07,
|
420 |
+
"logits/chosen": 5881.2919921875,
|
421 |
+
"logits/rejected": 5333.2744140625,
|
422 |
+
"logps/chosen": -335.8533935546875,
|
423 |
+
"logps/rejected": -390.1767883300781,
|
424 |
+
"loss": 0.6207,
|
425 |
+
"rewards/accuracies": 0.793749988079071,
|
426 |
+
"rewards/chosen": -0.612395167350769,
|
427 |
+
"rewards/margins": 0.6854075193405151,
|
428 |
+
"rewards/rejected": -1.2978026866912842,
|
429 |
+
"step": 270
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.5862339701648783,
|
433 |
+
"grad_norm": 11.562696281009446,
|
434 |
+
"learning_rate": 2.1804923757009882e-07,
|
435 |
+
"logits/chosen": 5932.57861328125,
|
436 |
+
"logits/rejected": 4862.0146484375,
|
437 |
+
"logps/chosen": -341.2466735839844,
|
438 |
+
"logps/rejected": -384.97857666015625,
|
439 |
+
"loss": 0.6207,
|
440 |
+
"rewards/accuracies": 0.7749999761581421,
|
441 |
+
"rewards/chosen": -0.6052099466323853,
|
442 |
+
"rewards/margins": 0.7767351269721985,
|
443 |
+
"rewards/rejected": -1.3819451332092285,
|
444 |
+
"step": 280
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.6071708976707668,
|
448 |
+
"grad_norm": 14.192713016769995,
|
449 |
+
"learning_rate": 1.9999357655598891e-07,
|
450 |
+
"logits/chosen": 6152.61669921875,
|
451 |
+
"logits/rejected": 5673.72900390625,
|
452 |
+
"logps/chosen": -372.6900329589844,
|
453 |
+
"logps/rejected": -436.62286376953125,
|
454 |
+
"loss": 0.6269,
|
455 |
+
"rewards/accuracies": 0.737500011920929,
|
456 |
+
"rewards/chosen": -0.8125594258308411,
|
457 |
+
"rewards/margins": 0.5744532346725464,
|
458 |
+
"rewards/rejected": -1.3870127201080322,
|
459 |
+
"step": 290
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.6281078251766553,
|
463 |
+
"grad_norm": 13.845927183072918,
|
464 |
+
"learning_rate": 1.8220596619089573e-07,
|
465 |
+
"logits/chosen": 5640.8662109375,
|
466 |
+
"logits/rejected": 5246.69091796875,
|
467 |
+
"logps/chosen": -338.5563659667969,
|
468 |
+
"logps/rejected": -399.28900146484375,
|
469 |
+
"loss": 0.6223,
|
470 |
+
"rewards/accuracies": 0.734375,
|
471 |
+
"rewards/chosen": -0.6720638275146484,
|
472 |
+
"rewards/margins": 0.61163729429245,
|
473 |
+
"rewards/rejected": -1.2837010622024536,
|
474 |
+
"step": 300
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 0.6490447526825438,
|
478 |
+
"grad_norm": 11.103620407034061,
|
479 |
+
"learning_rate": 1.647817538357072e-07,
|
480 |
+
"logits/chosen": 6317.97607421875,
|
481 |
+
"logits/rejected": 5491.85498046875,
|
482 |
+
"logps/chosen": -355.3973388671875,
|
483 |
+
"logps/rejected": -393.3858947753906,
|
484 |
+
"loss": 0.6185,
|
485 |
+
"rewards/accuracies": 0.7749999761581421,
|
486 |
+
"rewards/chosen": -0.6456772089004517,
|
487 |
+
"rewards/margins": 0.5926147699356079,
|
488 |
+
"rewards/rejected": -1.2382919788360596,
|
489 |
+
"step": 310
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 0.6699816801884323,
|
493 |
+
"grad_norm": 12.452201295868143,
|
494 |
+
"learning_rate": 1.478143389201113e-07,
|
495 |
+
"logits/chosen": 5882.0078125,
|
496 |
+
"logits/rejected": 5039.4091796875,
|
497 |
+
"logps/chosen": -335.7853698730469,
|
498 |
+
"logps/rejected": -396.05712890625,
|
499 |
+
"loss": 0.6228,
|
500 |
+
"rewards/accuracies": 0.71875,
|
501 |
+
"rewards/chosen": -0.6392192840576172,
|
502 |
+
"rewards/margins": 0.723227858543396,
|
503 |
+
"rewards/rejected": -1.3624470233917236,
|
504 |
+
"step": 320
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 0.6909186076943209,
|
508 |
+
"grad_norm": 11.031080841746133,
|
509 |
+
"learning_rate": 1.3139467229135998e-07,
|
510 |
+
"logits/chosen": 5675.63623046875,
|
511 |
+
"logits/rejected": 5184.22607421875,
|
512 |
+
"logps/chosen": -334.7772521972656,
|
513 |
+
"logps/rejected": -389.0362243652344,
|
514 |
+
"loss": 0.6271,
|
515 |
+
"rewards/accuracies": 0.7562500238418579,
|
516 |
+
"rewards/chosen": -0.5799298286437988,
|
517 |
+
"rewards/margins": 0.6671385765075684,
|
518 |
+
"rewards/rejected": -1.2470682859420776,
|
519 |
+
"step": 330
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 0.7118555352002094,
|
523 |
+
"grad_norm": 10.777776010932476,
|
524 |
+
"learning_rate": 1.1561076868822755e-07,
|
525 |
+
"logits/chosen": 5497.7236328125,
|
526 |
+
"logits/rejected": 4727.431640625,
|
527 |
+
"logps/chosen": -319.00543212890625,
|
528 |
+
"logps/rejected": -367.11663818359375,
|
529 |
+
"loss": 0.6253,
|
530 |
+
"rewards/accuracies": 0.7281249761581421,
|
531 |
+
"rewards/chosen": -0.6143845915794373,
|
532 |
+
"rewards/margins": 0.6447553038597107,
|
533 |
+
"rewards/rejected": -1.2591397762298584,
|
534 |
+
"step": 340
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.7327924627060979,
|
538 |
+
"grad_norm": 13.171378321554494,
|
539 |
+
"learning_rate": 1.0054723495346482e-07,
|
540 |
+
"logits/chosen": 6181.7666015625,
|
541 |
+
"logits/rejected": 4961.35400390625,
|
542 |
+
"logps/chosen": -359.21905517578125,
|
543 |
+
"logps/rejected": -390.53350830078125,
|
544 |
+
"loss": 0.6232,
|
545 |
+
"rewards/accuracies": 0.7749999761581421,
|
546 |
+
"rewards/chosen": -0.5830456018447876,
|
547 |
+
"rewards/margins": 0.6389049291610718,
|
548 |
+
"rewards/rejected": -1.2219504117965698,
|
549 |
+
"step": 350
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.7537293902119864,
|
553 |
+
"grad_norm": 12.17139481883657,
|
554 |
+
"learning_rate": 8.628481651367875e-08,
|
555 |
+
"logits/chosen": 5867.166015625,
|
556 |
+
"logits/rejected": 5056.07568359375,
|
557 |
+
"logps/chosen": -332.9352722167969,
|
558 |
+
"logps/rejected": -381.3428955078125,
|
559 |
+
"loss": 0.6279,
|
560 |
+
"rewards/accuracies": 0.7281249761581421,
|
561 |
+
"rewards/chosen": -0.5521169900894165,
|
562 |
+
"rewards/margins": 0.678789496421814,
|
563 |
+
"rewards/rejected": -1.2309064865112305,
|
564 |
+
"step": 360
|
565 |
+
},
|
566 |
+
{
|
567 |
+
"epoch": 0.7746663177178749,
|
568 |
+
"grad_norm": 10.377060003916368,
|
569 |
+
"learning_rate": 7.289996455765748e-08,
|
570 |
+
"logits/chosen": 5769.4111328125,
|
571 |
+
"logits/rejected": 4844.27880859375,
|
572 |
+
"logps/chosen": -343.3131103515625,
|
573 |
+
"logps/rejected": -383.9873962402344,
|
574 |
+
"loss": 0.6145,
|
575 |
+
"rewards/accuracies": 0.765625,
|
576 |
+
"rewards/chosen": -0.5452004671096802,
|
577 |
+
"rewards/margins": 0.725028932094574,
|
578 |
+
"rewards/rejected": -1.270229458808899,
|
579 |
+
"step": 370
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 0.7956032452237635,
|
583 |
+
"grad_norm": 13.056548862753138,
|
584 |
+
"learning_rate": 6.046442623320145e-08,
|
585 |
+
"logits/chosen": 6045.7568359375,
|
586 |
+
"logits/rejected": 5162.32958984375,
|
587 |
+
"logps/chosen": -337.4881896972656,
|
588 |
+
"logps/rejected": -362.61529541015625,
|
589 |
+
"loss": 0.626,
|
590 |
+
"rewards/accuracies": 0.737500011920929,
|
591 |
+
"rewards/chosen": -0.527867317199707,
|
592 |
+
"rewards/margins": 0.5897092223167419,
|
593 |
+
"rewards/rejected": -1.1175765991210938,
|
594 |
+
"step": 380
|
595 |
+
},
|
596 |
+
{
|
597 |
+
"epoch": 0.816540172729652,
|
598 |
+
"grad_norm": 9.602896358416052,
|
599 |
+
"learning_rate": 4.904486005914027e-08,
|
600 |
+
"logits/chosen": 6276.33837890625,
|
601 |
+
"logits/rejected": 5479.82177734375,
|
602 |
+
"logps/chosen": -344.8057861328125,
|
603 |
+
"logps/rejected": -400.14154052734375,
|
604 |
+
"loss": 0.6156,
|
605 |
+
"rewards/accuracies": 0.762499988079071,
|
606 |
+
"rewards/chosen": -0.530563473701477,
|
607 |
+
"rewards/margins": 0.7230854034423828,
|
608 |
+
"rewards/rejected": -1.2536487579345703,
|
609 |
+
"step": 390
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 0.8374771002355405,
|
613 |
+
"grad_norm": 10.002000791834785,
|
614 |
+
"learning_rate": 3.8702478614051345e-08,
|
615 |
+
"logits/chosen": 5853.0087890625,
|
616 |
+
"logits/rejected": 5118.06494140625,
|
617 |
+
"logps/chosen": -347.6117248535156,
|
618 |
+
"logps/rejected": -372.6192932128906,
|
619 |
+
"loss": 0.6239,
|
620 |
+
"rewards/accuracies": 0.753125011920929,
|
621 |
+
"rewards/chosen": -0.5670760273933411,
|
622 |
+
"rewards/margins": 0.6005390882492065,
|
623 |
+
"rewards/rejected": -1.1676150560379028,
|
624 |
+
"step": 400
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 0.8584140277414289,
|
628 |
+
"grad_norm": 10.39957529568141,
|
629 |
+
"learning_rate": 2.9492720416985e-08,
|
630 |
+
"logits/chosen": 5829.76318359375,
|
631 |
+
"logits/rejected": 5050.9814453125,
|
632 |
+
"logps/chosen": -343.9368591308594,
|
633 |
+
"logps/rejected": -402.4644470214844,
|
634 |
+
"loss": 0.6171,
|
635 |
+
"rewards/accuracies": 0.715624988079071,
|
636 |
+
"rewards/chosen": -0.6206948757171631,
|
637 |
+
"rewards/margins": 0.592847466468811,
|
638 |
+
"rewards/rejected": -1.2135423421859741,
|
639 |
+
"step": 410
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.8793509552473174,
|
643 |
+
"grad_norm": 12.525714643168069,
|
644 |
+
"learning_rate": 2.1464952759020856e-08,
|
645 |
+
"logits/chosen": 6221.03662109375,
|
646 |
+
"logits/rejected": 5368.93994140625,
|
647 |
+
"logps/chosen": -350.761474609375,
|
648 |
+
"logps/rejected": -397.9172058105469,
|
649 |
+
"loss": 0.6175,
|
650 |
+
"rewards/accuracies": 0.737500011920929,
|
651 |
+
"rewards/chosen": -0.5878224968910217,
|
652 |
+
"rewards/margins": 0.6664667129516602,
|
653 |
+
"rewards/rejected": -1.254289150238037,
|
654 |
+
"step": 420
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 0.9002878827532059,
|
658 |
+
"grad_norm": 11.787131409532831,
|
659 |
+
"learning_rate": 1.4662207078575684e-08,
|
660 |
+
"logits/chosen": 6147.80322265625,
|
661 |
+
"logits/rejected": 4875.4560546875,
|
662 |
+
"logps/chosen": -347.69866943359375,
|
663 |
+
"logps/rejected": -387.70556640625,
|
664 |
+
"loss": 0.612,
|
665 |
+
"rewards/accuracies": 0.762499988079071,
|
666 |
+
"rewards/chosen": -0.6009602546691895,
|
667 |
+
"rewards/margins": 0.7015070915222168,
|
668 |
+
"rewards/rejected": -1.3024674654006958,
|
669 |
+
"step": 430
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 0.9212248102590945,
|
673 |
+
"grad_norm": 11.622178629621203,
|
674 |
+
"learning_rate": 9.12094829893642e-09,
|
675 |
+
"logits/chosen": 5975.74169921875,
|
676 |
+
"logits/rejected": 5603.3095703125,
|
677 |
+
"logps/chosen": -335.4075622558594,
|
678 |
+
"logps/rejected": -398.03759765625,
|
679 |
+
"loss": 0.619,
|
680 |
+
"rewards/accuracies": 0.753125011920929,
|
681 |
+
"rewards/chosen": -0.5686401724815369,
|
682 |
+
"rewards/margins": 0.6512762308120728,
|
683 |
+
"rewards/rejected": -1.2199163436889648,
|
684 |
+
"step": 440
|
685 |
+
},
|
686 |
+
{
|
687 |
+
"epoch": 0.942161737764983,
|
688 |
+
"grad_norm": 12.334438799788524,
|
689 |
+
"learning_rate": 4.8708793644441086e-09,
|
690 |
+
"logits/chosen": 6104.8115234375,
|
691 |
+
"logits/rejected": 5160.8291015625,
|
692 |
+
"logps/chosen": -347.5029602050781,
|
693 |
+
"logps/rejected": -385.18292236328125,
|
694 |
+
"loss": 0.6176,
|
695 |
+
"rewards/accuracies": 0.7749999761581421,
|
696 |
+
"rewards/chosen": -0.5716773271560669,
|
697 |
+
"rewards/margins": 0.6656473875045776,
|
698 |
+
"rewards/rejected": -1.237324595451355,
|
699 |
+
"step": 450
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 0.9630986652708715,
|
703 |
+
"grad_norm": 14.274087744528849,
|
704 |
+
"learning_rate": 1.9347820230782295e-09,
|
705 |
+
"logits/chosen": 6278.4931640625,
|
706 |
+
"logits/rejected": 5222.73828125,
|
707 |
+
"logps/chosen": -374.8132629394531,
|
708 |
+
"logps/rejected": -419.890625,
|
709 |
+
"loss": 0.6239,
|
710 |
+
"rewards/accuracies": 0.753125011920929,
|
711 |
+
"rewards/chosen": -0.6181422472000122,
|
712 |
+
"rewards/margins": 0.7236369848251343,
|
713 |
+
"rewards/rejected": -1.3417792320251465,
|
714 |
+
"step": 460
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 0.98403559277676,
|
718 |
+
"grad_norm": 9.711310883436695,
|
719 |
+
"learning_rate": 3.2839470889836627e-10,
|
720 |
+
"logits/chosen": 5856.66259765625,
|
721 |
+
"logits/rejected": 5124.48193359375,
|
722 |
+
"logps/chosen": -340.29803466796875,
|
723 |
+
"logps/rejected": -388.76165771484375,
|
724 |
+
"loss": 0.6131,
|
725 |
+
"rewards/accuracies": 0.7718750238418579,
|
726 |
+
"rewards/chosen": -0.5945884585380554,
|
727 |
+
"rewards/margins": 0.7149998545646667,
|
728 |
+
"rewards/rejected": -1.3095881938934326,
|
729 |
+
"step": 470
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 0.998691442030882,
|
733 |
+
"step": 477,
|
734 |
+
"total_flos": 0.0,
|
735 |
+
"train_loss": 0.6354130409048788,
|
736 |
+
"train_runtime": 12872.7493,
|
737 |
+
"train_samples_per_second": 4.749,
|
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 sha256:7f45accb3cd8c5a939ec2fbad69ec765cb9dc6db093506180ac63cd10055021b
|
3 |
+
size 7288
|