vipinkatara
commited on
Commit
•
5d40a82
1
Parent(s):
105dbe8
Model save
Browse files- README.md +59 -0
- added_tokens.json +5 -0
- all_results.json +9 -0
- config.json +29 -0
- generation_config.json +11 -0
- merges.txt +0 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +394 -0
- runs/Jun06_10-27-14_e00094d41e75473dafd453e213587a54000001/events.out.tfevents.1717669929.e00094d41e75473dafd453e213587a54000001.1201.0 +3 -0
- special_tokens_map.json +21 -0
- tokenizer.json +0 -0
- tokenizer_config.json +43 -0
- train_results.json +9 -0
- trainer_state.json +1032 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
ADDED
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: other
|
3 |
+
base_model: Qwen/Qwen1.5-7B-Chat
|
4 |
+
tags:
|
5 |
+
- trl
|
6 |
+
- orpo
|
7 |
+
- generated_from_trainer
|
8 |
+
model-index:
|
9 |
+
- name: qwen1.5-7b-chat-orpo-v2
|
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 |
+
# qwen1.5-7b-chat-orpo-v2
|
17 |
+
|
18 |
+
This model is a fine-tuned version of [Qwen/Qwen1.5-7B-Chat](https://huggingface.co/Qwen/Qwen1.5-7B-Chat) 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-06
|
38 |
+
- train_batch_size: 1
|
39 |
+
- eval_batch_size: 8
|
40 |
+
- seed: 42
|
41 |
+
- distributed_type: multi-GPU
|
42 |
+
- num_devices: 16
|
43 |
+
- total_train_batch_size: 16
|
44 |
+
- total_eval_batch_size: 128
|
45 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
46 |
+
- lr_scheduler_type: inverse_sqrt
|
47 |
+
- lr_scheduler_warmup_steps: 100
|
48 |
+
- num_epochs: 1
|
49 |
+
|
50 |
+
### Training results
|
51 |
+
|
52 |
+
|
53 |
+
|
54 |
+
### Framework versions
|
55 |
+
|
56 |
+
- Transformers 4.41.2
|
57 |
+
- Pytorch 2.2.2
|
58 |
+
- Datasets 2.19.2
|
59 |
+
- Tokenizers 0.19.1
|
added_tokens.json
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<|endoftext|>": 151643,
|
3 |
+
"<|im_end|>": 151645,
|
4 |
+
"<|im_start|>": 151644
|
5 |
+
}
|
all_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"total_flos": 0.0,
|
4 |
+
"train_loss": 1.340359150177747,
|
5 |
+
"train_runtime": 13809.2478,
|
6 |
+
"train_samples": 8844,
|
7 |
+
"train_samples_per_second": 0.64,
|
8 |
+
"train_steps_per_second": 0.04
|
9 |
+
}
|
config.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "Qwen/Qwen1.5-7B-Chat",
|
3 |
+
"architectures": [
|
4 |
+
"Qwen2ForCausalLM"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 151644,
|
8 |
+
"eos_token_id": 151645,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 4096,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"intermediate_size": 11008,
|
13 |
+
"max_position_embeddings": 32768,
|
14 |
+
"max_window_layers": 28,
|
15 |
+
"model_type": "qwen2",
|
16 |
+
"num_attention_heads": 32,
|
17 |
+
"num_hidden_layers": 32,
|
18 |
+
"num_key_value_heads": 32,
|
19 |
+
"pad_token_id": 151645,
|
20 |
+
"rms_norm_eps": 1e-06,
|
21 |
+
"rope_theta": 1000000.0,
|
22 |
+
"sliding_window": 32768,
|
23 |
+
"tie_word_embeddings": false,
|
24 |
+
"torch_dtype": "bfloat16",
|
25 |
+
"transformers_version": "4.41.2",
|
26 |
+
"use_cache": false,
|
27 |
+
"use_sliding_window": false,
|
28 |
+
"vocab_size": 151646
|
29 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token_id": 151644,
|
3 |
+
"do_sample": true,
|
4 |
+
"eos_token_id": 151645,
|
5 |
+
"pad_token_id": 151645,
|
6 |
+
"repetition_penalty": 1.05,
|
7 |
+
"temperature": 0.7,
|
8 |
+
"top_k": 20,
|
9 |
+
"top_p": 0.8,
|
10 |
+
"transformers_version": "4.41.2"
|
11 |
+
}
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
model-00001-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3021cc6b515c51d70e9a53b5feab46786400ad6964de6fcd9232a077c40877f3
|
3 |
+
size 4986106736
|
model-00002-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b23957db4c417201cd121795c0b1ae06b7b7fed2bc8a57671311f0f0efd8d5d6
|
3 |
+
size 4981244328
|
model-00003-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f27abf844e236e86c793aec186690dd9a4524887b6c87c1295419cdb6e13a709
|
3 |
+
size 4228306968
|
model-00004-of-00004.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a08186486ebe7982a8238e7dd269cc4f67be0f700dd4aa42d170dc9fedebaa8a
|
3 |
+
size 1242284160
|
model.safetensors.index.json
ADDED
@@ -0,0 +1,394 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 15437897728
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"lm_head.weight": "model-00004-of-00004.safetensors",
|
7 |
+
"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
13 |
+
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
14 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
15 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
16 |
+
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
17 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
18 |
+
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
19 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
20 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
21 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
22 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
23 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
24 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
25 |
+
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
26 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
27 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
28 |
+
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
29 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
30 |
+
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
31 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
32 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
33 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
34 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
35 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
36 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
37 |
+
"model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
38 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
39 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
40 |
+
"model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
41 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
42 |
+
"model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
43 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
44 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
45 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
46 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
47 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
48 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
49 |
+
"model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
50 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
51 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
52 |
+
"model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
53 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
54 |
+
"model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
55 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
56 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
57 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
58 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
59 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
60 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
61 |
+
"model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
62 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
63 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
64 |
+
"model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
65 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
66 |
+
"model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
67 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
68 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
69 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
70 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
71 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
72 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
73 |
+
"model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
74 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
75 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
76 |
+
"model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
77 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
78 |
+
"model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
79 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
80 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
81 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
82 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
83 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
84 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
85 |
+
"model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
86 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
87 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
88 |
+
"model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
89 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
90 |
+
"model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
91 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
92 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
93 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
94 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
95 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
96 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
97 |
+
"model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
98 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
99 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
100 |
+
"model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
101 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
102 |
+
"model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
103 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
104 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
105 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
106 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
107 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
108 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
109 |
+
"model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
110 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
111 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
112 |
+
"model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
113 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
114 |
+
"model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
115 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
116 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
117 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
118 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
119 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
120 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
121 |
+
"model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
122 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
123 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
124 |
+
"model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
125 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
126 |
+
"model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
127 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
128 |
+
"model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
129 |
+
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
130 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
131 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
132 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
133 |
+
"model.layers.18.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
134 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
135 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
136 |
+
"model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
137 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
138 |
+
"model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
139 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
140 |
+
"model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
141 |
+
"model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
142 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
143 |
+
"model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
144 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
145 |
+
"model.layers.19.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
146 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
147 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
148 |
+
"model.layers.19.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
149 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
150 |
+
"model.layers.19.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
151 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
152 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
153 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
154 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
155 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
156 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
157 |
+
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
158 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
159 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
160 |
+
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
161 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
162 |
+
"model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
163 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
164 |
+
"model.layers.20.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
165 |
+
"model.layers.20.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
166 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
167 |
+
"model.layers.20.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
168 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
169 |
+
"model.layers.20.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
170 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
171 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
172 |
+
"model.layers.20.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
173 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
174 |
+
"model.layers.20.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
175 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
176 |
+
"model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
177 |
+
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
178 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
179 |
+
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
180 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
181 |
+
"model.layers.21.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
182 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
183 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
184 |
+
"model.layers.21.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
185 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
186 |
+
"model.layers.21.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
187 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
188 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
189 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
190 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
191 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
192 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
193 |
+
"model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
194 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
195 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
196 |
+
"model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
197 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
198 |
+
"model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
199 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
200 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
201 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
202 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
203 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
204 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
205 |
+
"model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
206 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
207 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
208 |
+
"model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
209 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
210 |
+
"model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
211 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
212 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
213 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
214 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
215 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
216 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
217 |
+
"model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
218 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
219 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
220 |
+
"model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
221 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
222 |
+
"model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
223 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
224 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
225 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
226 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
227 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
228 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
229 |
+
"model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
230 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
231 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
232 |
+
"model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
233 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
234 |
+
"model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
235 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
236 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
237 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
238 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
239 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
240 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
241 |
+
"model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
242 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
243 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
244 |
+
"model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
245 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
246 |
+
"model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
247 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
248 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
249 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
250 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
251 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
252 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
253 |
+
"model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
254 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
255 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
256 |
+
"model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
257 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
258 |
+
"model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
259 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
260 |
+
"model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
261 |
+
"model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
262 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
263 |
+
"model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
264 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
265 |
+
"model.layers.28.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
266 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
267 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
268 |
+
"model.layers.28.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
269 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
270 |
+
"model.layers.28.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
271 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
272 |
+
"model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
273 |
+
"model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
274 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
275 |
+
"model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
276 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
277 |
+
"model.layers.29.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
278 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
279 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
280 |
+
"model.layers.29.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
281 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
282 |
+
"model.layers.29.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
283 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
284 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
285 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
286 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
287 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
288 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
289 |
+
"model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
290 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
291 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
292 |
+
"model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
293 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
294 |
+
"model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
295 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
296 |
+
"model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
297 |
+
"model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
298 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
299 |
+
"model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
300 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
301 |
+
"model.layers.30.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
302 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
303 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
304 |
+
"model.layers.30.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
305 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
306 |
+
"model.layers.30.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
307 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
308 |
+
"model.layers.31.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
309 |
+
"model.layers.31.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
310 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
311 |
+
"model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
312 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
313 |
+
"model.layers.31.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
314 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
315 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
316 |
+
"model.layers.31.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
317 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
318 |
+
"model.layers.31.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
319 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
320 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
321 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
322 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
323 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
324 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
325 |
+
"model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
326 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
327 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
328 |
+
"model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
329 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
330 |
+
"model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
331 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
332 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
333 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
334 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
335 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
336 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
337 |
+
"model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
338 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
339 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
340 |
+
"model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
341 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
342 |
+
"model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
343 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
344 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
345 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
346 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
347 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
348 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
349 |
+
"model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
350 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
351 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
352 |
+
"model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
353 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
354 |
+
"model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
355 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
356 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
357 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
358 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
359 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
360 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
361 |
+
"model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
362 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
363 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
364 |
+
"model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
365 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
366 |
+
"model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
367 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
368 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
369 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
370 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
371 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
372 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
373 |
+
"model.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
374 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
375 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
376 |
+
"model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
377 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
378 |
+
"model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
379 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
380 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
381 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
382 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
383 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
384 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
385 |
+
"model.layers.9.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
386 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
387 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
388 |
+
"model.layers.9.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
389 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
390 |
+
"model.layers.9.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
391 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
392 |
+
"model.norm.weight": "model-00003-of-00004.safetensors"
|
393 |
+
}
|
394 |
+
}
|
runs/Jun06_10-27-14_e00094d41e75473dafd453e213587a54000001/events.out.tfevents.1717669929.e00094d41e75473dafd453e213587a54000001.1201.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:244b235ff9200a06f4718886852fe431f8adc5fd2dbcedff9f3a6ba959c06dde
|
3 |
+
size 52826
|
special_tokens_map.json
ADDED
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
{
|
4 |
+
"content": "<|im_start|>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false
|
9 |
+
},
|
10 |
+
{
|
11 |
+
"content": "<|im_end|>",
|
12 |
+
"lstrip": false,
|
13 |
+
"normalized": false,
|
14 |
+
"rstrip": false,
|
15 |
+
"single_word": false
|
16 |
+
}
|
17 |
+
],
|
18 |
+
"bos_token": "<|im_start|>",
|
19 |
+
"eos_token": "<|im_end|>",
|
20 |
+
"pad_token": "<|im_end|>"
|
21 |
+
}
|
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_prefix_space": false,
|
3 |
+
"added_tokens_decoder": {
|
4 |
+
"151643": {
|
5 |
+
"content": "<|endoftext|>",
|
6 |
+
"lstrip": false,
|
7 |
+
"normalized": false,
|
8 |
+
"rstrip": false,
|
9 |
+
"single_word": false,
|
10 |
+
"special": true
|
11 |
+
},
|
12 |
+
"151644": {
|
13 |
+
"content": "<|im_start|>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": false,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false,
|
18 |
+
"special": true
|
19 |
+
},
|
20 |
+
"151645": {
|
21 |
+
"content": "<|im_end|>",
|
22 |
+
"lstrip": false,
|
23 |
+
"normalized": false,
|
24 |
+
"rstrip": false,
|
25 |
+
"single_word": false,
|
26 |
+
"special": true
|
27 |
+
}
|
28 |
+
},
|
29 |
+
"additional_special_tokens": [
|
30 |
+
"<|im_start|>",
|
31 |
+
"<|im_end|>"
|
32 |
+
],
|
33 |
+
"bos_token": "<|im_start|>",
|
34 |
+
"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
35 |
+
"clean_up_tokenization_spaces": false,
|
36 |
+
"eos_token": "<|im_end|>",
|
37 |
+
"errors": "replace",
|
38 |
+
"model_max_length": 32768,
|
39 |
+
"pad_token": "<|im_end|>",
|
40 |
+
"split_special_tokens": false,
|
41 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
42 |
+
"unk_token": null
|
43 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.0,
|
3 |
+
"total_flos": 0.0,
|
4 |
+
"train_loss": 1.340359150177747,
|
5 |
+
"train_runtime": 13809.2478,
|
6 |
+
"train_samples": 8844,
|
7 |
+
"train_samples_per_second": 0.64,
|
8 |
+
"train_steps_per_second": 0.04
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1032 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 553,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.018083182640144666,
|
13 |
+
"grad_norm": 270.0,
|
14 |
+
"learning_rate": 5.000000000000001e-07,
|
15 |
+
"log_odds_chosen": 0.524066150188446,
|
16 |
+
"log_odds_ratio": -0.5735815763473511,
|
17 |
+
"logits/chosen": -3.028451442718506,
|
18 |
+
"logits/rejected": -3.2061283588409424,
|
19 |
+
"logps/chosen": -1.6356823444366455,
|
20 |
+
"logps/rejected": -2.097788095474243,
|
21 |
+
"loss": 5.9583,
|
22 |
+
"nll_loss": 6.051669120788574,
|
23 |
+
"rewards/accuracies": 0.5,
|
24 |
+
"rewards/chosen": -0.08178411424160004,
|
25 |
+
"rewards/margins": 0.02310529164969921,
|
26 |
+
"rewards/rejected": -0.1048894077539444,
|
27 |
+
"step": 10
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.03616636528028933,
|
31 |
+
"grad_norm": 338.0,
|
32 |
+
"learning_rate": 1.0000000000000002e-06,
|
33 |
+
"log_odds_chosen": 0.5587388873100281,
|
34 |
+
"log_odds_ratio": -0.5176494121551514,
|
35 |
+
"logits/chosen": -2.638868808746338,
|
36 |
+
"logits/rejected": -2.6223673820495605,
|
37 |
+
"logps/chosen": -1.23783278465271,
|
38 |
+
"logps/rejected": -1.646284818649292,
|
39 |
+
"loss": 5.6814,
|
40 |
+
"nll_loss": 3.5105323791503906,
|
41 |
+
"rewards/accuracies": 0.800000011920929,
|
42 |
+
"rewards/chosen": -0.061891645193099976,
|
43 |
+
"rewards/margins": 0.020422598347067833,
|
44 |
+
"rewards/rejected": -0.08231424540281296,
|
45 |
+
"step": 20
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.054249547920433995,
|
49 |
+
"grad_norm": 197.0,
|
50 |
+
"learning_rate": 1.5e-06,
|
51 |
+
"log_odds_chosen": -0.7765415906906128,
|
52 |
+
"log_odds_ratio": -1.4850478172302246,
|
53 |
+
"logits/chosen": -2.554340362548828,
|
54 |
+
"logits/rejected": -3.0053932666778564,
|
55 |
+
"logps/chosen": -2.7067830562591553,
|
56 |
+
"logps/rejected": -1.897303819656372,
|
57 |
+
"loss": 4.095,
|
58 |
+
"nll_loss": 5.7828497886657715,
|
59 |
+
"rewards/accuracies": 0.4000000059604645,
|
60 |
+
"rewards/chosen": -0.1353391706943512,
|
61 |
+
"rewards/margins": -0.04047396779060364,
|
62 |
+
"rewards/rejected": -0.09486518800258636,
|
63 |
+
"step": 30
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.07233273056057866,
|
67 |
+
"grad_norm": 64.0,
|
68 |
+
"learning_rate": 2.0000000000000003e-06,
|
69 |
+
"log_odds_chosen": 1.3007441759109497,
|
70 |
+
"log_odds_ratio": -0.4158785343170166,
|
71 |
+
"logits/chosen": -2.897387981414795,
|
72 |
+
"logits/rejected": -3.0413200855255127,
|
73 |
+
"logps/chosen": -1.3996171951293945,
|
74 |
+
"logps/rejected": -2.517918109893799,
|
75 |
+
"loss": 2.6986,
|
76 |
+
"nll_loss": 2.556391954421997,
|
77 |
+
"rewards/accuracies": 0.800000011920929,
|
78 |
+
"rewards/chosen": -0.06998086720705032,
|
79 |
+
"rewards/margins": 0.05591505020856857,
|
80 |
+
"rewards/rejected": -0.1258959025144577,
|
81 |
+
"step": 40
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.09041591320072333,
|
85 |
+
"grad_norm": 21.875,
|
86 |
+
"learning_rate": 2.5e-06,
|
87 |
+
"log_odds_chosen": 0.607527494430542,
|
88 |
+
"log_odds_ratio": -0.464752733707428,
|
89 |
+
"logits/chosen": -3.3353819847106934,
|
90 |
+
"logits/rejected": -3.417086124420166,
|
91 |
+
"logps/chosen": -1.5169802904129028,
|
92 |
+
"logps/rejected": -2.032203197479248,
|
93 |
+
"loss": 1.9263,
|
94 |
+
"nll_loss": 1.4955819845199585,
|
95 |
+
"rewards/accuracies": 0.800000011920929,
|
96 |
+
"rewards/chosen": -0.0758490115404129,
|
97 |
+
"rewards/margins": 0.025761136785149574,
|
98 |
+
"rewards/rejected": -0.10161016136407852,
|
99 |
+
"step": 50
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 0.10849909584086799,
|
103 |
+
"grad_norm": 15.25,
|
104 |
+
"learning_rate": 3e-06,
|
105 |
+
"log_odds_chosen": 0.3995138704776764,
|
106 |
+
"log_odds_ratio": -0.6033788919448853,
|
107 |
+
"logits/chosen": -3.0420987606048584,
|
108 |
+
"logits/rejected": -3.2451672554016113,
|
109 |
+
"logps/chosen": -1.6125237941741943,
|
110 |
+
"logps/rejected": -1.9586118459701538,
|
111 |
+
"loss": 1.7326,
|
112 |
+
"nll_loss": 2.063459634780884,
|
113 |
+
"rewards/accuracies": 0.5,
|
114 |
+
"rewards/chosen": -0.08062619715929031,
|
115 |
+
"rewards/margins": 0.017304399982094765,
|
116 |
+
"rewards/rejected": -0.09793059527873993,
|
117 |
+
"step": 60
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 0.12658227848101267,
|
121 |
+
"grad_norm": 8.5625,
|
122 |
+
"learning_rate": 3.5e-06,
|
123 |
+
"log_odds_chosen": 0.3118763566017151,
|
124 |
+
"log_odds_ratio": -0.5856896638870239,
|
125 |
+
"logits/chosen": -3.4981963634490967,
|
126 |
+
"logits/rejected": -3.5791831016540527,
|
127 |
+
"logps/chosen": -1.4380217790603638,
|
128 |
+
"logps/rejected": -1.686657190322876,
|
129 |
+
"loss": 1.4005,
|
130 |
+
"nll_loss": 1.4499210119247437,
|
131 |
+
"rewards/accuracies": 0.6000000238418579,
|
132 |
+
"rewards/chosen": -0.07190109044313431,
|
133 |
+
"rewards/margins": 0.012431769631803036,
|
134 |
+
"rewards/rejected": -0.08433286100625992,
|
135 |
+
"step": 70
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.14466546112115733,
|
139 |
+
"grad_norm": 7.28125,
|
140 |
+
"learning_rate": 4.000000000000001e-06,
|
141 |
+
"log_odds_chosen": 0.6805863976478577,
|
142 |
+
"log_odds_ratio": -0.5004494190216064,
|
143 |
+
"logits/chosen": -3.5435702800750732,
|
144 |
+
"logits/rejected": -3.5884978771209717,
|
145 |
+
"logps/chosen": -1.284294843673706,
|
146 |
+
"logps/rejected": -1.8150221109390259,
|
147 |
+
"loss": 1.3307,
|
148 |
+
"nll_loss": 1.4621249437332153,
|
149 |
+
"rewards/accuracies": 0.800000011920929,
|
150 |
+
"rewards/chosen": -0.06421474367380142,
|
151 |
+
"rewards/margins": 0.026536360383033752,
|
152 |
+
"rewards/rejected": -0.09075109660625458,
|
153 |
+
"step": 80
|
154 |
+
},
|
155 |
+
{
|
156 |
+
"epoch": 0.162748643761302,
|
157 |
+
"grad_norm": 6.6875,
|
158 |
+
"learning_rate": 4.5e-06,
|
159 |
+
"log_odds_chosen": 0.7451115846633911,
|
160 |
+
"log_odds_ratio": -0.7124490141868591,
|
161 |
+
"logits/chosen": -3.6752638816833496,
|
162 |
+
"logits/rejected": -3.662033796310425,
|
163 |
+
"logps/chosen": -1.0480401515960693,
|
164 |
+
"logps/rejected": -1.207778811454773,
|
165 |
+
"loss": 1.2034,
|
166 |
+
"nll_loss": 1.1693445444107056,
|
167 |
+
"rewards/accuracies": 0.800000011920929,
|
168 |
+
"rewards/chosen": -0.05240201950073242,
|
169 |
+
"rewards/margins": 0.007986925542354584,
|
170 |
+
"rewards/rejected": -0.06038894131779671,
|
171 |
+
"step": 90
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.18083182640144665,
|
175 |
+
"grad_norm": 5.625,
|
176 |
+
"learning_rate": 5e-06,
|
177 |
+
"log_odds_chosen": 1.4625422954559326,
|
178 |
+
"log_odds_ratio": -0.2866816222667694,
|
179 |
+
"logits/chosen": -3.5862960815429688,
|
180 |
+
"logits/rejected": -3.631056547164917,
|
181 |
+
"logps/chosen": -0.616925060749054,
|
182 |
+
"logps/rejected": -1.2389600276947021,
|
183 |
+
"loss": 1.0472,
|
184 |
+
"nll_loss": 0.997981071472168,
|
185 |
+
"rewards/accuracies": 1.0,
|
186 |
+
"rewards/chosen": -0.030846258625388145,
|
187 |
+
"rewards/margins": 0.03110174462199211,
|
188 |
+
"rewards/rejected": -0.06194800138473511,
|
189 |
+
"step": 100
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 0.19891500904159132,
|
193 |
+
"grad_norm": 4.34375,
|
194 |
+
"learning_rate": 4.767312946227961e-06,
|
195 |
+
"log_odds_chosen": 0.32260584831237793,
|
196 |
+
"log_odds_ratio": -0.7831681966781616,
|
197 |
+
"logits/chosen": -3.3512356281280518,
|
198 |
+
"logits/rejected": -3.317343235015869,
|
199 |
+
"logps/chosen": -0.8152042627334595,
|
200 |
+
"logps/rejected": -1.023037314414978,
|
201 |
+
"loss": 1.021,
|
202 |
+
"nll_loss": 0.8699595332145691,
|
203 |
+
"rewards/accuracies": 0.699999988079071,
|
204 |
+
"rewards/chosen": -0.040760211646556854,
|
205 |
+
"rewards/margins": 0.010391652584075928,
|
206 |
+
"rewards/rejected": -0.05115186423063278,
|
207 |
+
"step": 110
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 0.21699819168173598,
|
211 |
+
"grad_norm": 4.46875,
|
212 |
+
"learning_rate": 4.564354645876385e-06,
|
213 |
+
"log_odds_chosen": 0.06312495470046997,
|
214 |
+
"log_odds_ratio": -0.7186229228973389,
|
215 |
+
"logits/chosen": -3.7797393798828125,
|
216 |
+
"logits/rejected": -3.610599994659424,
|
217 |
+
"logps/chosen": -1.342027187347412,
|
218 |
+
"logps/rejected": -1.3699142932891846,
|
219 |
+
"loss": 1.2306,
|
220 |
+
"nll_loss": 1.2616217136383057,
|
221 |
+
"rewards/accuracies": 0.5,
|
222 |
+
"rewards/chosen": -0.0671013593673706,
|
223 |
+
"rewards/margins": 0.0013943525264039636,
|
224 |
+
"rewards/rejected": -0.06849571317434311,
|
225 |
+
"step": 120
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.23508137432188064,
|
229 |
+
"grad_norm": 3.40625,
|
230 |
+
"learning_rate": 4.385290096535147e-06,
|
231 |
+
"log_odds_chosen": 0.3295042812824249,
|
232 |
+
"log_odds_ratio": -0.6021639704704285,
|
233 |
+
"logits/chosen": -3.6531271934509277,
|
234 |
+
"logits/rejected": -3.6605091094970703,
|
235 |
+
"logps/chosen": -1.1059828996658325,
|
236 |
+
"logps/rejected": -1.2798744440078735,
|
237 |
+
"loss": 1.0672,
|
238 |
+
"nll_loss": 1.0846788883209229,
|
239 |
+
"rewards/accuracies": 0.699999988079071,
|
240 |
+
"rewards/chosen": -0.05529915168881416,
|
241 |
+
"rewards/margins": 0.008694576099514961,
|
242 |
+
"rewards/rejected": -0.06399371474981308,
|
243 |
+
"step": 130
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 0.25316455696202533,
|
247 |
+
"grad_norm": 3.921875,
|
248 |
+
"learning_rate": 4.2257712736425835e-06,
|
249 |
+
"log_odds_chosen": 0.005866944789886475,
|
250 |
+
"log_odds_ratio": -0.7822607755661011,
|
251 |
+
"logits/chosen": -3.4610767364501953,
|
252 |
+
"logits/rejected": -3.5588440895080566,
|
253 |
+
"logps/chosen": -1.0730628967285156,
|
254 |
+
"logps/rejected": -1.1153419017791748,
|
255 |
+
"loss": 1.0629,
|
256 |
+
"nll_loss": 0.9272462725639343,
|
257 |
+
"rewards/accuracies": 0.699999988079071,
|
258 |
+
"rewards/chosen": -0.05365313962101936,
|
259 |
+
"rewards/margins": 0.0021139546297490597,
|
260 |
+
"rewards/rejected": -0.05576709657907486,
|
261 |
+
"step": 140
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.27124773960216997,
|
265 |
+
"grad_norm": 4.5625,
|
266 |
+
"learning_rate": 4.082482904638631e-06,
|
267 |
+
"log_odds_chosen": 0.42503032088279724,
|
268 |
+
"log_odds_ratio": -0.8444482684135437,
|
269 |
+
"logits/chosen": -3.4901211261749268,
|
270 |
+
"logits/rejected": -3.6267387866973877,
|
271 |
+
"logps/chosen": -0.8993390798568726,
|
272 |
+
"logps/rejected": -1.1696584224700928,
|
273 |
+
"loss": 1.0394,
|
274 |
+
"nll_loss": 0.797405481338501,
|
275 |
+
"rewards/accuracies": 0.699999988079071,
|
276 |
+
"rewards/chosen": -0.044966958463191986,
|
277 |
+
"rewards/margins": 0.013515966013073921,
|
278 |
+
"rewards/rejected": -0.05848292261362076,
|
279 |
+
"step": 150
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 0.28933092224231466,
|
283 |
+
"grad_norm": 4.75,
|
284 |
+
"learning_rate": 3.952847075210474e-06,
|
285 |
+
"log_odds_chosen": 0.5311036109924316,
|
286 |
+
"log_odds_ratio": -0.5203253030776978,
|
287 |
+
"logits/chosen": -3.2638163566589355,
|
288 |
+
"logits/rejected": -3.4405035972595215,
|
289 |
+
"logps/chosen": -1.0335638523101807,
|
290 |
+
"logps/rejected": -1.3805434703826904,
|
291 |
+
"loss": 1.1398,
|
292 |
+
"nll_loss": 1.0082361698150635,
|
293 |
+
"rewards/accuracies": 0.699999988079071,
|
294 |
+
"rewards/chosen": -0.051678191870450974,
|
295 |
+
"rewards/margins": 0.017348987981677055,
|
296 |
+
"rewards/rejected": -0.06902717798948288,
|
297 |
+
"step": 160
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 0.3074141048824593,
|
301 |
+
"grad_norm": 4.125,
|
302 |
+
"learning_rate": 3.834824944236852e-06,
|
303 |
+
"log_odds_chosen": 0.7853885293006897,
|
304 |
+
"log_odds_ratio": -0.5176795721054077,
|
305 |
+
"logits/chosen": -3.390453815460205,
|
306 |
+
"logits/rejected": -3.4858481884002686,
|
307 |
+
"logps/chosen": -1.0219676494598389,
|
308 |
+
"logps/rejected": -1.3882640600204468,
|
309 |
+
"loss": 1.0934,
|
310 |
+
"nll_loss": 0.9619676470756531,
|
311 |
+
"rewards/accuracies": 0.800000011920929,
|
312 |
+
"rewards/chosen": -0.05109838768839836,
|
313 |
+
"rewards/margins": 0.018314816057682037,
|
314 |
+
"rewards/rejected": -0.0694132000207901,
|
315 |
+
"step": 170
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 0.325497287522604,
|
319 |
+
"grad_norm": 3.3125,
|
320 |
+
"learning_rate": 3.72677996249965e-06,
|
321 |
+
"log_odds_chosen": 0.2512182593345642,
|
322 |
+
"log_odds_ratio": -0.6799607276916504,
|
323 |
+
"logits/chosen": -3.8153457641601562,
|
324 |
+
"logits/rejected": -3.849152088165283,
|
325 |
+
"logps/chosen": -1.1906697750091553,
|
326 |
+
"logps/rejected": -1.386765718460083,
|
327 |
+
"loss": 1.0226,
|
328 |
+
"nll_loss": 1.331679105758667,
|
329 |
+
"rewards/accuracies": 0.6000000238418579,
|
330 |
+
"rewards/chosen": -0.059533488005399704,
|
331 |
+
"rewards/margins": 0.009804805740714073,
|
332 |
+
"rewards/rejected": -0.06933829933404922,
|
333 |
+
"step": 180
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 0.3435804701627486,
|
337 |
+
"grad_norm": 6.5625,
|
338 |
+
"learning_rate": 3.6273812505500587e-06,
|
339 |
+
"log_odds_chosen": 0.3922955393791199,
|
340 |
+
"log_odds_ratio": -0.5585602521896362,
|
341 |
+
"logits/chosen": -3.6088531017303467,
|
342 |
+
"logits/rejected": -3.6289172172546387,
|
343 |
+
"logps/chosen": -1.0057111978530884,
|
344 |
+
"logps/rejected": -1.2608778476715088,
|
345 |
+
"loss": 1.1235,
|
346 |
+
"nll_loss": 0.9645823240280151,
|
347 |
+
"rewards/accuracies": 0.699999988079071,
|
348 |
+
"rewards/chosen": -0.05028555914759636,
|
349 |
+
"rewards/margins": 0.012758332304656506,
|
350 |
+
"rewards/rejected": -0.06304388493299484,
|
351 |
+
"step": 190
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.3616636528028933,
|
355 |
+
"grad_norm": 4.71875,
|
356 |
+
"learning_rate": 3.5355339059327378e-06,
|
357 |
+
"log_odds_chosen": 0.0035676597617566586,
|
358 |
+
"log_odds_ratio": -0.7242649793624878,
|
359 |
+
"logits/chosen": -3.624096632003784,
|
360 |
+
"logits/rejected": -3.6793160438537598,
|
361 |
+
"logps/chosen": -1.1755887269973755,
|
362 |
+
"logps/rejected": -1.200249195098877,
|
363 |
+
"loss": 1.0192,
|
364 |
+
"nll_loss": 0.9476919174194336,
|
365 |
+
"rewards/accuracies": 0.6000000238418579,
|
366 |
+
"rewards/chosen": -0.05877942964434624,
|
367 |
+
"rewards/margins": 0.0012330322060734034,
|
368 |
+
"rewards/rejected": -0.06001245975494385,
|
369 |
+
"step": 200
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 0.379746835443038,
|
373 |
+
"grad_norm": 3.5625,
|
374 |
+
"learning_rate": 3.450327796711771e-06,
|
375 |
+
"log_odds_chosen": 0.7048985362052917,
|
376 |
+
"log_odds_ratio": -0.6235366463661194,
|
377 |
+
"logits/chosen": -3.4578773975372314,
|
378 |
+
"logits/rejected": -3.6635658740997314,
|
379 |
+
"logps/chosen": -0.9914987683296204,
|
380 |
+
"logps/rejected": -1.1977266073226929,
|
381 |
+
"loss": 1.0038,
|
382 |
+
"nll_loss": 0.8347546458244324,
|
383 |
+
"rewards/accuracies": 0.5,
|
384 |
+
"rewards/chosen": -0.04957494139671326,
|
385 |
+
"rewards/margins": 0.010311387479305267,
|
386 |
+
"rewards/rejected": -0.059886325150728226,
|
387 |
+
"step": 210
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.39783001808318263,
|
391 |
+
"grad_norm": 3.9375,
|
392 |
+
"learning_rate": 3.3709993123162106e-06,
|
393 |
+
"log_odds_chosen": -0.7274879217147827,
|
394 |
+
"log_odds_ratio": -1.5150617361068726,
|
395 |
+
"logits/chosen": -3.378265857696533,
|
396 |
+
"logits/rejected": -3.5164248943328857,
|
397 |
+
"logps/chosen": -1.3154796361923218,
|
398 |
+
"logps/rejected": -1.1096127033233643,
|
399 |
+
"loss": 1.0616,
|
400 |
+
"nll_loss": 0.9280896186828613,
|
401 |
+
"rewards/accuracies": 0.4000000059604645,
|
402 |
+
"rewards/chosen": -0.06577398627996445,
|
403 |
+
"rewards/margins": -0.010293351486325264,
|
404 |
+
"rewards/rejected": -0.055480629205703735,
|
405 |
+
"step": 220
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 0.4159132007233273,
|
409 |
+
"grad_norm": 4.96875,
|
410 |
+
"learning_rate": 3.296902366978936e-06,
|
411 |
+
"log_odds_chosen": -0.029178833588957787,
|
412 |
+
"log_odds_ratio": -0.7706394195556641,
|
413 |
+
"logits/chosen": -3.5950729846954346,
|
414 |
+
"logits/rejected": -3.6548149585723877,
|
415 |
+
"logps/chosen": -1.2986187934875488,
|
416 |
+
"logps/rejected": -1.2398769855499268,
|
417 |
+
"loss": 1.0526,
|
418 |
+
"nll_loss": 1.0869041681289673,
|
419 |
+
"rewards/accuracies": 0.5,
|
420 |
+
"rewards/chosen": -0.06493094563484192,
|
421 |
+
"rewards/margins": -0.0029370952397584915,
|
422 |
+
"rewards/rejected": -0.06199384853243828,
|
423 |
+
"step": 230
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.43399638336347196,
|
427 |
+
"grad_norm": 4.21875,
|
428 |
+
"learning_rate": 3.2274861218395142e-06,
|
429 |
+
"log_odds_chosen": 0.16786038875579834,
|
430 |
+
"log_odds_ratio": -0.6685726046562195,
|
431 |
+
"logits/chosen": -3.688838243484497,
|
432 |
+
"logits/rejected": -3.749654769897461,
|
433 |
+
"logps/chosen": -1.374859094619751,
|
434 |
+
"logps/rejected": -1.5094839334487915,
|
435 |
+
"loss": 1.0482,
|
436 |
+
"nll_loss": 1.1397324800491333,
|
437 |
+
"rewards/accuracies": 0.6000000238418579,
|
438 |
+
"rewards/chosen": -0.06874295324087143,
|
439 |
+
"rewards/margins": 0.0067312465980648994,
|
440 |
+
"rewards/rejected": -0.07547420263290405,
|
441 |
+
"step": 240
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 0.45207956600361665,
|
445 |
+
"grad_norm": 4.5,
|
446 |
+
"learning_rate": 3.1622776601683796e-06,
|
447 |
+
"log_odds_chosen": 0.8509995341300964,
|
448 |
+
"log_odds_ratio": -0.5062636137008667,
|
449 |
+
"logits/chosen": -3.566221237182617,
|
450 |
+
"logits/rejected": -3.6127326488494873,
|
451 |
+
"logps/chosen": -0.9691341519355774,
|
452 |
+
"logps/rejected": -1.377387285232544,
|
453 |
+
"loss": 1.0446,
|
454 |
+
"nll_loss": 0.9793401956558228,
|
455 |
+
"rewards/accuracies": 0.699999988079071,
|
456 |
+
"rewards/chosen": -0.04845671355724335,
|
457 |
+
"rewards/margins": 0.02041265368461609,
|
458 |
+
"rewards/rejected": -0.06886936724185944,
|
459 |
+
"step": 250
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 0.4701627486437613,
|
463 |
+
"grad_norm": 2.640625,
|
464 |
+
"learning_rate": 3.1008683647302113e-06,
|
465 |
+
"log_odds_chosen": 0.08310860395431519,
|
466 |
+
"log_odds_ratio": -0.720168948173523,
|
467 |
+
"logits/chosen": -3.4250590801239014,
|
468 |
+
"logits/rejected": -3.513597011566162,
|
469 |
+
"logps/chosen": -1.2283875942230225,
|
470 |
+
"logps/rejected": -1.3563426733016968,
|
471 |
+
"loss": 1.045,
|
472 |
+
"nll_loss": 1.0739576816558838,
|
473 |
+
"rewards/accuracies": 0.6000000238418579,
|
474 |
+
"rewards/chosen": -0.06141937896609306,
|
475 |
+
"rewards/margins": 0.006397762335836887,
|
476 |
+
"rewards/rejected": -0.06781713664531708,
|
477 |
+
"step": 260
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 0.488245931283906,
|
481 |
+
"grad_norm": 3.734375,
|
482 |
+
"learning_rate": 3.0429030972509227e-06,
|
483 |
+
"log_odds_chosen": 0.2674502432346344,
|
484 |
+
"log_odds_ratio": -0.6830952763557434,
|
485 |
+
"logits/chosen": -3.3503127098083496,
|
486 |
+
"logits/rejected": -3.4934239387512207,
|
487 |
+
"logps/chosen": -1.0327961444854736,
|
488 |
+
"logps/rejected": -1.2308813333511353,
|
489 |
+
"loss": 1.0153,
|
490 |
+
"nll_loss": 1.1966408491134644,
|
491 |
+
"rewards/accuracies": 0.6000000238418579,
|
492 |
+
"rewards/chosen": -0.05163981392979622,
|
493 |
+
"rewards/margins": 0.009904252365231514,
|
494 |
+
"rewards/rejected": -0.061544060707092285,
|
495 |
+
"step": 270
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 0.5063291139240507,
|
499 |
+
"grad_norm": 7.75,
|
500 |
+
"learning_rate": 2.988071523335984e-06,
|
501 |
+
"log_odds_chosen": 0.9675368070602417,
|
502 |
+
"log_odds_ratio": -0.4681246876716614,
|
503 |
+
"logits/chosen": -2.9768073558807373,
|
504 |
+
"logits/rejected": -3.2737374305725098,
|
505 |
+
"logps/chosen": -0.9432920217514038,
|
506 |
+
"logps/rejected": -1.5204970836639404,
|
507 |
+
"loss": 1.0435,
|
508 |
+
"nll_loss": 0.8414273262023926,
|
509 |
+
"rewards/accuracies": 0.800000011920929,
|
510 |
+
"rewards/chosen": -0.047164615243673325,
|
511 |
+
"rewards/margins": 0.02886023558676243,
|
512 |
+
"rewards/rejected": -0.07602483779191971,
|
513 |
+
"step": 280
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.5244122965641953,
|
517 |
+
"grad_norm": 4.3125,
|
518 |
+
"learning_rate": 2.9361010975735177e-06,
|
519 |
+
"log_odds_chosen": 0.782937228679657,
|
520 |
+
"log_odds_ratio": -0.5052694082260132,
|
521 |
+
"logits/chosen": -3.4432454109191895,
|
522 |
+
"logits/rejected": -3.513373851776123,
|
523 |
+
"logps/chosen": -0.959903359413147,
|
524 |
+
"logps/rejected": -1.3499042987823486,
|
525 |
+
"loss": 1.034,
|
526 |
+
"nll_loss": 0.9008768200874329,
|
527 |
+
"rewards/accuracies": 0.699999988079071,
|
528 |
+
"rewards/chosen": -0.04799516871571541,
|
529 |
+
"rewards/margins": 0.019500048831105232,
|
530 |
+
"rewards/rejected": -0.06749521195888519,
|
531 |
+
"step": 290
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 0.5424954792043399,
|
535 |
+
"grad_norm": 3.328125,
|
536 |
+
"learning_rate": 2.8867513459481293e-06,
|
537 |
+
"log_odds_chosen": -0.06844829022884369,
|
538 |
+
"log_odds_ratio": -0.8229748606681824,
|
539 |
+
"logits/chosen": -3.6102004051208496,
|
540 |
+
"logits/rejected": -3.6592490673065186,
|
541 |
+
"logps/chosen": -1.3216373920440674,
|
542 |
+
"logps/rejected": -1.3158751726150513,
|
543 |
+
"loss": 1.0616,
|
544 |
+
"nll_loss": 1.050123929977417,
|
545 |
+
"rewards/accuracies": 0.30000001192092896,
|
546 |
+
"rewards/chosen": -0.06608187407255173,
|
547 |
+
"rewards/margins": -0.00028811878291890025,
|
548 |
+
"rewards/rejected": -0.06579376012086868,
|
549 |
+
"step": 300
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.5605786618444847,
|
553 |
+
"grad_norm": 3.796875,
|
554 |
+
"learning_rate": 2.839809171235324e-06,
|
555 |
+
"log_odds_chosen": 0.5723578333854675,
|
556 |
+
"log_odds_ratio": -0.5454049110412598,
|
557 |
+
"logits/chosen": -3.4600486755371094,
|
558 |
+
"logits/rejected": -3.52336049079895,
|
559 |
+
"logps/chosen": -0.9334306716918945,
|
560 |
+
"logps/rejected": -1.1987031698226929,
|
561 |
+
"loss": 1.0222,
|
562 |
+
"nll_loss": 0.9817255735397339,
|
563 |
+
"rewards/accuracies": 0.699999988079071,
|
564 |
+
"rewards/chosen": -0.046671535819768906,
|
565 |
+
"rewards/margins": 0.013263625092804432,
|
566 |
+
"rewards/rejected": -0.05993515998125076,
|
567 |
+
"step": 310
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 0.5786618444846293,
|
571 |
+
"grad_norm": 3.53125,
|
572 |
+
"learning_rate": 2.7950849718747376e-06,
|
573 |
+
"log_odds_chosen": 0.8614484667778015,
|
574 |
+
"log_odds_ratio": -0.4398893713951111,
|
575 |
+
"logits/chosen": -3.6512210369110107,
|
576 |
+
"logits/rejected": -3.76987886428833,
|
577 |
+
"logps/chosen": -0.744703471660614,
|
578 |
+
"logps/rejected": -1.220558762550354,
|
579 |
+
"loss": 1.0317,
|
580 |
+
"nll_loss": 0.9681469202041626,
|
581 |
+
"rewards/accuracies": 0.800000011920929,
|
582 |
+
"rewards/chosen": -0.03723517805337906,
|
583 |
+
"rewards/margins": 0.02379276230931282,
|
584 |
+
"rewards/rejected": -0.06102793663740158,
|
585 |
+
"step": 320
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 0.596745027124774,
|
589 |
+
"grad_norm": 3.703125,
|
590 |
+
"learning_rate": 2.752409412815902e-06,
|
591 |
+
"log_odds_chosen": 0.5696262121200562,
|
592 |
+
"log_odds_ratio": -0.8096323013305664,
|
593 |
+
"logits/chosen": -3.248673915863037,
|
594 |
+
"logits/rejected": -3.3223063945770264,
|
595 |
+
"logps/chosen": -1.0554739236831665,
|
596 |
+
"logps/rejected": -1.1397294998168945,
|
597 |
+
"loss": 1.0938,
|
598 |
+
"nll_loss": 1.0340250730514526,
|
599 |
+
"rewards/accuracies": 0.6000000238418579,
|
600 |
+
"rewards/chosen": -0.052773695439100266,
|
601 |
+
"rewards/margins": 0.004212772473692894,
|
602 |
+
"rewards/rejected": -0.05698646977543831,
|
603 |
+
"step": 330
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 0.6148282097649186,
|
607 |
+
"grad_norm": 4.46875,
|
608 |
+
"learning_rate": 2.711630722733202e-06,
|
609 |
+
"log_odds_chosen": 0.45444560050964355,
|
610 |
+
"log_odds_ratio": -0.556340754032135,
|
611 |
+
"logits/chosen": -3.499669313430786,
|
612 |
+
"logits/rejected": -3.5566048622131348,
|
613 |
+
"logps/chosen": -1.0938056707382202,
|
614 |
+
"logps/rejected": -1.4399141073226929,
|
615 |
+
"loss": 1.0092,
|
616 |
+
"nll_loss": 0.9630126953125,
|
617 |
+
"rewards/accuracies": 0.6000000238418579,
|
618 |
+
"rewards/chosen": -0.05469028279185295,
|
619 |
+
"rewards/margins": 0.01730542816221714,
|
620 |
+
"rewards/rejected": -0.07199571281671524,
|
621 |
+
"step": 340
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 0.6329113924050633,
|
625 |
+
"grad_norm": 5.03125,
|
626 |
+
"learning_rate": 2.6726124191242444e-06,
|
627 |
+
"log_odds_chosen": -0.18927308917045593,
|
628 |
+
"log_odds_ratio": -1.1298543214797974,
|
629 |
+
"logits/chosen": -3.469010829925537,
|
630 |
+
"logits/rejected": -3.5768990516662598,
|
631 |
+
"logps/chosen": -1.1069543361663818,
|
632 |
+
"logps/rejected": -1.25455904006958,
|
633 |
+
"loss": 1.035,
|
634 |
+
"nll_loss": 1.04062819480896,
|
635 |
+
"rewards/accuracies": 0.5,
|
636 |
+
"rewards/chosen": -0.055347710847854614,
|
637 |
+
"rewards/margins": 0.007380232214927673,
|
638 |
+
"rewards/rejected": -0.06272794306278229,
|
639 |
+
"step": 350
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.650994575045208,
|
643 |
+
"grad_norm": 4.125,
|
644 |
+
"learning_rate": 2.6352313834736496e-06,
|
645 |
+
"log_odds_chosen": 1.1780674457550049,
|
646 |
+
"log_odds_ratio": -0.458904892206192,
|
647 |
+
"logits/chosen": -3.475041151046753,
|
648 |
+
"logits/rejected": -3.641082763671875,
|
649 |
+
"logps/chosen": -0.7767281532287598,
|
650 |
+
"logps/rejected": -1.3540589809417725,
|
651 |
+
"loss": 1.0549,
|
652 |
+
"nll_loss": 0.994460940361023,
|
653 |
+
"rewards/accuracies": 0.800000011920929,
|
654 |
+
"rewards/chosen": -0.03883640468120575,
|
655 |
+
"rewards/margins": 0.028866535052657127,
|
656 |
+
"rewards/rejected": -0.06770294159650803,
|
657 |
+
"step": 360
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 0.6690777576853526,
|
661 |
+
"grad_norm": 4.03125,
|
662 |
+
"learning_rate": 2.599376224550182e-06,
|
663 |
+
"log_odds_chosen": -0.05644133687019348,
|
664 |
+
"log_odds_ratio": -0.7978056073188782,
|
665 |
+
"logits/chosen": -3.524318218231201,
|
666 |
+
"logits/rejected": -3.6522598266601562,
|
667 |
+
"logps/chosen": -1.1413499116897583,
|
668 |
+
"logps/rejected": -1.1321113109588623,
|
669 |
+
"loss": 0.9712,
|
670 |
+
"nll_loss": 0.9401092529296875,
|
671 |
+
"rewards/accuracies": 0.5,
|
672 |
+
"rewards/chosen": -0.05706749111413956,
|
673 |
+
"rewards/margins": -0.00046192388981580734,
|
674 |
+
"rewards/rejected": -0.05660557001829147,
|
675 |
+
"step": 370
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 0.6871609403254972,
|
679 |
+
"grad_norm": 5.4375,
|
680 |
+
"learning_rate": 2.564945880212886e-06,
|
681 |
+
"log_odds_chosen": -0.03757842257618904,
|
682 |
+
"log_odds_ratio": -0.9225370287895203,
|
683 |
+
"logits/chosen": -3.3350226879119873,
|
684 |
+
"logits/rejected": -3.4671382904052734,
|
685 |
+
"logps/chosen": -1.4029977321624756,
|
686 |
+
"logps/rejected": -1.209831714630127,
|
687 |
+
"loss": 1.0249,
|
688 |
+
"nll_loss": 1.2321926355361938,
|
689 |
+
"rewards/accuracies": 0.30000001192092896,
|
690 |
+
"rewards/chosen": -0.07014988362789154,
|
691 |
+
"rewards/margins": -0.009658301249146461,
|
692 |
+
"rewards/rejected": -0.06049158424139023,
|
693 |
+
"step": 380
|
694 |
+
},
|
695 |
+
{
|
696 |
+
"epoch": 0.705244122965642,
|
697 |
+
"grad_norm": 3.453125,
|
698 |
+
"learning_rate": 2.5318484177091667e-06,
|
699 |
+
"log_odds_chosen": 0.38905367255210876,
|
700 |
+
"log_odds_ratio": -0.6244643330574036,
|
701 |
+
"logits/chosen": -3.652184009552002,
|
702 |
+
"logits/rejected": -3.6555867195129395,
|
703 |
+
"logps/chosen": -1.316056728363037,
|
704 |
+
"logps/rejected": -1.5403589010238647,
|
705 |
+
"loss": 0.9824,
|
706 |
+
"nll_loss": 1.1117520332336426,
|
707 |
+
"rewards/accuracies": 0.6000000238418579,
|
708 |
+
"rewards/chosen": -0.06580284237861633,
|
709 |
+
"rewards/margins": 0.01121511310338974,
|
710 |
+
"rewards/rejected": -0.07701796293258667,
|
711 |
+
"step": 390
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 0.7233273056057866,
|
715 |
+
"grad_norm": 3.0,
|
716 |
+
"learning_rate": 2.5e-06,
|
717 |
+
"log_odds_chosen": 0.23738713562488556,
|
718 |
+
"log_odds_ratio": -0.6204290390014648,
|
719 |
+
"logits/chosen": -3.3568973541259766,
|
720 |
+
"logits/rejected": -3.591095447540283,
|
721 |
+
"logps/chosen": -1.1707801818847656,
|
722 |
+
"logps/rejected": -1.3350715637207031,
|
723 |
+
"loss": 1.071,
|
724 |
+
"nll_loss": 1.0477981567382812,
|
725 |
+
"rewards/accuracies": 0.699999988079071,
|
726 |
+
"rewards/chosen": -0.0585390105843544,
|
727 |
+
"rewards/margins": 0.008214573375880718,
|
728 |
+
"rewards/rejected": -0.0667535811662674,
|
729 |
+
"step": 400
|
730 |
+
},
|
731 |
+
{
|
732 |
+
"epoch": 0.7414104882459313,
|
733 |
+
"grad_norm": 3.5625,
|
734 |
+
"learning_rate": 2.4693239916239746e-06,
|
735 |
+
"log_odds_chosen": 0.060622893273830414,
|
736 |
+
"log_odds_ratio": -0.7360556721687317,
|
737 |
+
"logits/chosen": -3.5519211292266846,
|
738 |
+
"logits/rejected": -3.641356945037842,
|
739 |
+
"logps/chosen": -1.2109748125076294,
|
740 |
+
"logps/rejected": -1.2431539297103882,
|
741 |
+
"loss": 1.0531,
|
742 |
+
"nll_loss": 1.063460111618042,
|
743 |
+
"rewards/accuracies": 0.5,
|
744 |
+
"rewards/chosen": -0.06054873391985893,
|
745 |
+
"rewards/margins": 0.0016089621931314468,
|
746 |
+
"rewards/rejected": -0.06215769797563553,
|
747 |
+
"step": 410
|
748 |
+
},
|
749 |
+
{
|
750 |
+
"epoch": 0.759493670886076,
|
751 |
+
"grad_norm": 3.515625,
|
752 |
+
"learning_rate": 2.4397501823713327e-06,
|
753 |
+
"log_odds_chosen": 0.27192121744155884,
|
754 |
+
"log_odds_ratio": -0.7382515668869019,
|
755 |
+
"logits/chosen": -3.4203600883483887,
|
756 |
+
"logits/rejected": -3.5196239948272705,
|
757 |
+
"logps/chosen": -0.8597354888916016,
|
758 |
+
"logps/rejected": -1.0601986646652222,
|
759 |
+
"loss": 1.0227,
|
760 |
+
"nll_loss": 0.8366381525993347,
|
761 |
+
"rewards/accuracies": 0.5,
|
762 |
+
"rewards/chosen": -0.04298677295446396,
|
763 |
+
"rewards/margins": 0.010023154318332672,
|
764 |
+
"rewards/rejected": -0.05300993472337723,
|
765 |
+
"step": 420
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.7775768535262206,
|
769 |
+
"grad_norm": 4.6875,
|
770 |
+
"learning_rate": 2.411214110852061e-06,
|
771 |
+
"log_odds_chosen": 0.00424801092594862,
|
772 |
+
"log_odds_ratio": -0.7706916332244873,
|
773 |
+
"logits/chosen": -3.656468629837036,
|
774 |
+
"logits/rejected": -3.656891345977783,
|
775 |
+
"logps/chosen": -1.2077748775482178,
|
776 |
+
"logps/rejected": -1.210986852645874,
|
777 |
+
"loss": 0.9992,
|
778 |
+
"nll_loss": 1.0321767330169678,
|
779 |
+
"rewards/accuracies": 0.5,
|
780 |
+
"rewards/chosen": -0.06038873642683029,
|
781 |
+
"rewards/margins": 0.00016060545749496669,
|
782 |
+
"rewards/rejected": -0.06054934114217758,
|
783 |
+
"step": 430
|
784 |
+
},
|
785 |
+
{
|
786 |
+
"epoch": 0.7956600361663653,
|
787 |
+
"grad_norm": 3.203125,
|
788 |
+
"learning_rate": 2.3836564731139807e-06,
|
789 |
+
"log_odds_chosen": 0.15838010609149933,
|
790 |
+
"log_odds_ratio": -0.706937849521637,
|
791 |
+
"logits/chosen": -3.6181061267852783,
|
792 |
+
"logits/rejected": -3.649228572845459,
|
793 |
+
"logps/chosen": -1.0764718055725098,
|
794 |
+
"logps/rejected": -1.1391253471374512,
|
795 |
+
"loss": 1.0074,
|
796 |
+
"nll_loss": 1.0357991456985474,
|
797 |
+
"rewards/accuracies": 0.5,
|
798 |
+
"rewards/chosen": -0.05382359027862549,
|
799 |
+
"rewards/margins": 0.003132682293653488,
|
800 |
+
"rewards/rejected": -0.05695626884698868,
|
801 |
+
"step": 440
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 0.8137432188065099,
|
805 |
+
"grad_norm": 3.609375,
|
806 |
+
"learning_rate": 2.357022603955159e-06,
|
807 |
+
"log_odds_chosen": 0.6918424367904663,
|
808 |
+
"log_odds_ratio": -0.5028156042098999,
|
809 |
+
"logits/chosen": -3.3800606727600098,
|
810 |
+
"logits/rejected": -3.511284351348877,
|
811 |
+
"logps/chosen": -0.7713460326194763,
|
812 |
+
"logps/rejected": -1.1150473356246948,
|
813 |
+
"loss": 1.0192,
|
814 |
+
"nll_loss": 0.9132420420646667,
|
815 |
+
"rewards/accuracies": 0.800000011920929,
|
816 |
+
"rewards/chosen": -0.038567304611206055,
|
817 |
+
"rewards/margins": 0.017185065895318985,
|
818 |
+
"rewards/rejected": -0.05575236678123474,
|
819 |
+
"step": 450
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 0.8318264014466547,
|
823 |
+
"grad_norm": 4.46875,
|
824 |
+
"learning_rate": 2.3312620206007847e-06,
|
825 |
+
"log_odds_chosen": 0.9962455630302429,
|
826 |
+
"log_odds_ratio": -0.4283738136291504,
|
827 |
+
"logits/chosen": -3.4526374340057373,
|
828 |
+
"logits/rejected": -3.6031575202941895,
|
829 |
+
"logps/chosen": -0.7248684167861938,
|
830 |
+
"logps/rejected": -1.235801100730896,
|
831 |
+
"loss": 0.9926,
|
832 |
+
"nll_loss": 0.7733514308929443,
|
833 |
+
"rewards/accuracies": 0.699999988079071,
|
834 |
+
"rewards/chosen": -0.03624342009425163,
|
835 |
+
"rewards/margins": 0.025546634569764137,
|
836 |
+
"rewards/rejected": -0.06179005652666092,
|
837 |
+
"step": 460
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 0.8499095840867993,
|
841 |
+
"grad_norm": 4.75,
|
842 |
+
"learning_rate": 2.3063280200722128e-06,
|
843 |
+
"log_odds_chosen": 0.4537855088710785,
|
844 |
+
"log_odds_ratio": -0.5337843894958496,
|
845 |
+
"logits/chosen": -3.5173232555389404,
|
846 |
+
"logits/rejected": -3.6324150562286377,
|
847 |
+
"logps/chosen": -0.9342852830886841,
|
848 |
+
"logps/rejected": -1.2018686532974243,
|
849 |
+
"loss": 1.0222,
|
850 |
+
"nll_loss": 0.8243517875671387,
|
851 |
+
"rewards/accuracies": 0.699999988079071,
|
852 |
+
"rewards/chosen": -0.04671426862478256,
|
853 |
+
"rewards/margins": 0.013379162177443504,
|
854 |
+
"rewards/rejected": -0.06009342521429062,
|
855 |
+
"step": 470
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 0.8679927667269439,
|
859 |
+
"grad_norm": 5.09375,
|
860 |
+
"learning_rate": 2.2821773229381924e-06,
|
861 |
+
"log_odds_chosen": 1.8265974521636963,
|
862 |
+
"log_odds_ratio": -0.33439093828201294,
|
863 |
+
"logits/chosen": -3.333242416381836,
|
864 |
+
"logits/rejected": -3.549222469329834,
|
865 |
+
"logps/chosen": -0.7172473073005676,
|
866 |
+
"logps/rejected": -1.4388408660888672,
|
867 |
+
"loss": 0.9362,
|
868 |
+
"nll_loss": 0.9278656244277954,
|
869 |
+
"rewards/accuracies": 0.800000011920929,
|
870 |
+
"rewards/chosen": -0.03586236760020256,
|
871 |
+
"rewards/margins": 0.036079682409763336,
|
872 |
+
"rewards/rejected": -0.0719420462846756,
|
873 |
+
"step": 480
|
874 |
+
},
|
875 |
+
{
|
876 |
+
"epoch": 0.8860759493670886,
|
877 |
+
"grad_norm": 4.21875,
|
878 |
+
"learning_rate": 2.2587697572631284e-06,
|
879 |
+
"log_odds_chosen": 0.9842466115951538,
|
880 |
+
"log_odds_ratio": -0.42221134901046753,
|
881 |
+
"logits/chosen": -3.305194139480591,
|
882 |
+
"logits/rejected": -3.4940364360809326,
|
883 |
+
"logps/chosen": -0.8084889650344849,
|
884 |
+
"logps/rejected": -1.2992254495620728,
|
885 |
+
"loss": 1.0103,
|
886 |
+
"nll_loss": 0.9417991638183594,
|
887 |
+
"rewards/accuracies": 0.800000011920929,
|
888 |
+
"rewards/chosen": -0.040424447506666183,
|
889 |
+
"rewards/margins": 0.024536821991205215,
|
890 |
+
"rewards/rejected": -0.0649612694978714,
|
891 |
+
"step": 490
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.9041591320072333,
|
895 |
+
"grad_norm": 3.40625,
|
896 |
+
"learning_rate": 2.23606797749979e-06,
|
897 |
+
"log_odds_chosen": 0.06368019431829453,
|
898 |
+
"log_odds_ratio": -0.6845844388008118,
|
899 |
+
"logits/chosen": -3.6345558166503906,
|
900 |
+
"logits/rejected": -3.47111177444458,
|
901 |
+
"logps/chosen": -1.1341079473495483,
|
902 |
+
"logps/rejected": -1.1745169162750244,
|
903 |
+
"loss": 1.062,
|
904 |
+
"nll_loss": 1.0511561632156372,
|
905 |
+
"rewards/accuracies": 0.5,
|
906 |
+
"rewards/chosen": -0.05670539662241936,
|
907 |
+
"rewards/margins": 0.0020204458851367235,
|
908 |
+
"rewards/rejected": -0.05872584506869316,
|
909 |
+
"step": 500
|
910 |
+
},
|
911 |
+
{
|
912 |
+
"epoch": 0.9222423146473779,
|
913 |
+
"grad_norm": 4.15625,
|
914 |
+
"learning_rate": 2.2140372138502386e-06,
|
915 |
+
"log_odds_chosen": 1.0155892372131348,
|
916 |
+
"log_odds_ratio": -0.4495448172092438,
|
917 |
+
"logits/chosen": -3.242302656173706,
|
918 |
+
"logits/rejected": -3.3566043376922607,
|
919 |
+
"logps/chosen": -0.6464399099349976,
|
920 |
+
"logps/rejected": -1.0815407037734985,
|
921 |
+
"loss": 1.0125,
|
922 |
+
"nll_loss": 0.6781537532806396,
|
923 |
+
"rewards/accuracies": 0.8999999761581421,
|
924 |
+
"rewards/chosen": -0.032321996986866,
|
925 |
+
"rewards/margins": 0.02175503969192505,
|
926 |
+
"rewards/rejected": -0.054077040404081345,
|
927 |
+
"step": 510
|
928 |
+
},
|
929 |
+
{
|
930 |
+
"epoch": 0.9403254972875226,
|
931 |
+
"grad_norm": 3.5625,
|
932 |
+
"learning_rate": 2.1926450482675734e-06,
|
933 |
+
"log_odds_chosen": 0.5763598084449768,
|
934 |
+
"log_odds_ratio": -0.659260630607605,
|
935 |
+
"logits/chosen": -3.5601630210876465,
|
936 |
+
"logits/rejected": -3.527803897857666,
|
937 |
+
"logps/chosen": -1.2068111896514893,
|
938 |
+
"logps/rejected": -1.3772714138031006,
|
939 |
+
"loss": 1.0074,
|
940 |
+
"nll_loss": 1.2287429571151733,
|
941 |
+
"rewards/accuracies": 0.6000000238418579,
|
942 |
+
"rewards/chosen": -0.06034056469798088,
|
943 |
+
"rewards/margins": 0.008523015305399895,
|
944 |
+
"rewards/rejected": -0.06886357814073563,
|
945 |
+
"step": 520
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 0.9584086799276673,
|
949 |
+
"grad_norm": 3.828125,
|
950 |
+
"learning_rate": 2.1718612138153473e-06,
|
951 |
+
"log_odds_chosen": 0.2709532380104065,
|
952 |
+
"log_odds_ratio": -0.6409106850624084,
|
953 |
+
"logits/chosen": -3.741631269454956,
|
954 |
+
"logits/rejected": -3.731243133544922,
|
955 |
+
"logps/chosen": -1.1519293785095215,
|
956 |
+
"logps/rejected": -1.3367632627487183,
|
957 |
+
"loss": 1.0247,
|
958 |
+
"nll_loss": 1.2208020687103271,
|
959 |
+
"rewards/accuracies": 0.4000000059604645,
|
960 |
+
"rewards/chosen": -0.05759647488594055,
|
961 |
+
"rewards/margins": 0.009241694584488869,
|
962 |
+
"rewards/rejected": -0.06683816015720367,
|
963 |
+
"step": 530
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 0.976491862567812,
|
967 |
+
"grad_norm": 3.203125,
|
968 |
+
"learning_rate": 2.151657414559676e-06,
|
969 |
+
"log_odds_chosen": 0.8211873173713684,
|
970 |
+
"log_odds_ratio": -0.5390130877494812,
|
971 |
+
"logits/chosen": -3.598482608795166,
|
972 |
+
"logits/rejected": -3.682385206222534,
|
973 |
+
"logps/chosen": -1.2253609895706177,
|
974 |
+
"logps/rejected": -1.6024954319000244,
|
975 |
+
"loss": 1.0344,
|
976 |
+
"nll_loss": 1.1462525129318237,
|
977 |
+
"rewards/accuracies": 0.699999988079071,
|
978 |
+
"rewards/chosen": -0.061268050223588943,
|
979 |
+
"rewards/margins": 0.018856722861528397,
|
980 |
+
"rewards/rejected": -0.08012477308511734,
|
981 |
+
"step": 540
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 0.9945750452079566,
|
985 |
+
"grad_norm": 7.03125,
|
986 |
+
"learning_rate": 2.132007163556104e-06,
|
987 |
+
"log_odds_chosen": 1.1987555027008057,
|
988 |
+
"log_odds_ratio": -0.3731897473335266,
|
989 |
+
"logits/chosen": -3.2686665058135986,
|
990 |
+
"logits/rejected": -3.5461959838867188,
|
991 |
+
"logps/chosen": -0.7877604961395264,
|
992 |
+
"logps/rejected": -1.328150749206543,
|
993 |
+
"loss": 1.017,
|
994 |
+
"nll_loss": 0.808586597442627,
|
995 |
+
"rewards/accuracies": 0.8999999761581421,
|
996 |
+
"rewards/chosen": -0.0393880195915699,
|
997 |
+
"rewards/margins": 0.027019521221518517,
|
998 |
+
"rewards/rejected": -0.06640754640102386,
|
999 |
+
"step": 550
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 1.0,
|
1003 |
+
"step": 553,
|
1004 |
+
"total_flos": 0.0,
|
1005 |
+
"train_loss": 1.340359150177747,
|
1006 |
+
"train_runtime": 13809.2478,
|
1007 |
+
"train_samples_per_second": 0.64,
|
1008 |
+
"train_steps_per_second": 0.04
|
1009 |
+
}
|
1010 |
+
],
|
1011 |
+
"logging_steps": 10,
|
1012 |
+
"max_steps": 553,
|
1013 |
+
"num_input_tokens_seen": 0,
|
1014 |
+
"num_train_epochs": 1,
|
1015 |
+
"save_steps": 500,
|
1016 |
+
"stateful_callbacks": {
|
1017 |
+
"TrainerControl": {
|
1018 |
+
"args": {
|
1019 |
+
"should_epoch_stop": false,
|
1020 |
+
"should_evaluate": false,
|
1021 |
+
"should_log": false,
|
1022 |
+
"should_save": false,
|
1023 |
+
"should_training_stop": false
|
1024 |
+
},
|
1025 |
+
"attributes": {}
|
1026 |
+
}
|
1027 |
+
},
|
1028 |
+
"total_flos": 0.0,
|
1029 |
+
"train_batch_size": 1,
|
1030 |
+
"trial_name": null,
|
1031 |
+
"trial_params": null
|
1032 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:895133f0e6dcbcb4ee4eb5326d651ac40e358641b7cfb6ef761a68d32f339e64
|
3 |
+
size 5496
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|