TTTXXX01 commited on
Commit
ed09f4d
1 Parent(s): a9a6ab0

Model save

Browse files
README.md ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: TTTXXX01/All_like-zephyr-7b-sft-full
4
+ tags:
5
+ - trl
6
+ - dpo
7
+ - generated_from_trainer
8
+ model-index:
9
+ - name: Bernoulli_Like_Positive1-7b-sft-full
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # Bernoulli_Like_Positive1-7b-sft-full
17
+
18
+ This model is a fine-tuned version of [TTTXXX01/All_like-zephyr-7b-sft-full](https://huggingface.co/TTTXXX01/All_like-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: 3e-07
38
+ - train_batch_size: 6
39
+ - eval_batch_size: 4
40
+ - seed: 42
41
+ - distributed_type: multi-GPU
42
+ - num_devices: 4
43
+ - gradient_accumulation_steps: 2
44
+ - total_train_batch_size: 48
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 2.2.2+cu118
59
+ - Datasets 2.19.2
60
+ - Tokenizers 0.19.1
all_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 0.0,
4
+ "train_loss": 1.3597402943172485,
5
+ "train_runtime": 13015.2109,
6
+ "train_samples": 61135,
7
+ "train_samples_per_second": 4.697,
8
+ "train_steps_per_second": 0.098
9
+ }
config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "TTTXXX01/All_like-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 sha256:71dfb6642675e1bbfe6848b35f45afdb9fa5e9e0190ee2047d4ef0058d8f59e9
3
+ size 4943162336
model-00002-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4014d2bfebad9f5dccfc36ed9431defd076f110d437f0f56da3f8d7f19513097
3
+ size 4999819336
model-00003-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7b520fad839ea218308b440fd89b32d766bc4eb4189ebb33502df127a5e22849
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": 1.0,
3
+ "total_flos": 0.0,
4
+ "train_loss": 1.3597402943172485,
5
+ "train_runtime": 13015.2109,
6
+ "train_samples": 61135,
7
+ "train_samples_per_second": 4.697,
8
+ "train_steps_per_second": 0.098
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,1962 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 1274,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0007849293563579278,
13
+ "grad_norm": 6.033449115554074,
14
+ "learning_rate": 2.34375e-09,
15
+ "logits/chosen": 5914.86328125,
16
+ "logits/rejected": 2785.05078125,
17
+ "logps/chosen": -212.39956665039062,
18
+ "logps/rejected": -98.58319854736328,
19
+ "loss": 1.6265,
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": 0.007849293563579277,
28
+ "grad_norm": 6.334644894564701,
29
+ "learning_rate": 2.34375e-08,
30
+ "logits/chosen": 4973.83203125,
31
+ "logits/rejected": 4328.20947265625,
32
+ "logps/chosen": -204.1883544921875,
33
+ "logps/rejected": -179.72076416015625,
34
+ "loss": 1.6265,
35
+ "rewards/accuracies": 0.5277777910232544,
36
+ "rewards/chosen": 0.01907867193222046,
37
+ "rewards/margins": 0.04872569814324379,
38
+ "rewards/rejected": -0.029647022485733032,
39
+ "step": 10
40
+ },
41
+ {
42
+ "epoch": 0.015698587127158554,
43
+ "grad_norm": 5.9916217113774,
44
+ "learning_rate": 4.6875e-08,
45
+ "logits/chosen": 6084.1591796875,
46
+ "logits/rejected": 4833.9228515625,
47
+ "logps/chosen": -217.2135467529297,
48
+ "logps/rejected": -196.72286987304688,
49
+ "loss": 1.6265,
50
+ "rewards/accuracies": 0.5,
51
+ "rewards/chosen": -0.02391243539750576,
52
+ "rewards/margins": -0.033898498862981796,
53
+ "rewards/rejected": 0.009986063465476036,
54
+ "step": 20
55
+ },
56
+ {
57
+ "epoch": 0.023547880690737835,
58
+ "grad_norm": 5.7641173333433775,
59
+ "learning_rate": 7.03125e-08,
60
+ "logits/chosen": 6082.0751953125,
61
+ "logits/rejected": 5103.20458984375,
62
+ "logps/chosen": -250.56283569335938,
63
+ "logps/rejected": -209.3272705078125,
64
+ "loss": 1.6265,
65
+ "rewards/accuracies": 0.5083333253860474,
66
+ "rewards/chosen": 0.023494163528084755,
67
+ "rewards/margins": 0.016794539988040924,
68
+ "rewards/rejected": 0.006699626334011555,
69
+ "step": 30
70
+ },
71
+ {
72
+ "epoch": 0.03139717425431711,
73
+ "grad_norm": 5.454897887476028,
74
+ "learning_rate": 9.375e-08,
75
+ "logits/chosen": 5302.84423828125,
76
+ "logits/rejected": 4339.72900390625,
77
+ "logps/chosen": -212.10537719726562,
78
+ "logps/rejected": -181.6745147705078,
79
+ "loss": 1.6265,
80
+ "rewards/accuracies": 0.4749999940395355,
81
+ "rewards/chosen": -0.0172278955578804,
82
+ "rewards/margins": -0.01973465457558632,
83
+ "rewards/rejected": 0.0025067573878914118,
84
+ "step": 40
85
+ },
86
+ {
87
+ "epoch": 0.03924646781789639,
88
+ "grad_norm": 6.38829428743751,
89
+ "learning_rate": 1.1718749999999999e-07,
90
+ "logits/chosen": 6392.1474609375,
91
+ "logits/rejected": 5017.2919921875,
92
+ "logps/chosen": -265.69232177734375,
93
+ "logps/rejected": -206.754150390625,
94
+ "loss": 1.6261,
95
+ "rewards/accuracies": 0.4583333432674408,
96
+ "rewards/chosen": -0.07548192888498306,
97
+ "rewards/margins": -0.040568120777606964,
98
+ "rewards/rejected": -0.03491383045911789,
99
+ "step": 50
100
+ },
101
+ {
102
+ "epoch": 0.04709576138147567,
103
+ "grad_norm": 6.31748832974153,
104
+ "learning_rate": 1.40625e-07,
105
+ "logits/chosen": 5422.49609375,
106
+ "logits/rejected": 4506.4208984375,
107
+ "logps/chosen": -214.3790740966797,
108
+ "logps/rejected": -209.01828002929688,
109
+ "loss": 1.6253,
110
+ "rewards/accuracies": 0.3166666626930237,
111
+ "rewards/chosen": -0.40180811285972595,
112
+ "rewards/margins": -0.24679434299468994,
113
+ "rewards/rejected": -0.1550137847661972,
114
+ "step": 60
115
+ },
116
+ {
117
+ "epoch": 0.054945054945054944,
118
+ "grad_norm": 7.1862223915388315,
119
+ "learning_rate": 1.640625e-07,
120
+ "logits/chosen": 5049.93408203125,
121
+ "logits/rejected": 4787.21630859375,
122
+ "logps/chosen": -179.75225830078125,
123
+ "logps/rejected": -177.83863830566406,
124
+ "loss": 1.6216,
125
+ "rewards/accuracies": 0.44166669249534607,
126
+ "rewards/chosen": -1.2514512538909912,
127
+ "rewards/margins": -0.1759890913963318,
128
+ "rewards/rejected": -1.0754622220993042,
129
+ "step": 70
130
+ },
131
+ {
132
+ "epoch": 0.06279434850863422,
133
+ "grad_norm": 8.327706520679039,
134
+ "learning_rate": 1.875e-07,
135
+ "logits/chosen": 5466.95947265625,
136
+ "logits/rejected": 5001.8310546875,
137
+ "logps/chosen": -199.88381958007812,
138
+ "logps/rejected": -184.80918884277344,
139
+ "loss": 1.6118,
140
+ "rewards/accuracies": 0.4583333432674408,
141
+ "rewards/chosen": -3.306250810623169,
142
+ "rewards/margins": -0.05246015638113022,
143
+ "rewards/rejected": -3.2537906169891357,
144
+ "step": 80
145
+ },
146
+ {
147
+ "epoch": 0.0706436420722135,
148
+ "grad_norm": 12.704545270148827,
149
+ "learning_rate": 2.109375e-07,
150
+ "logits/chosen": 5456.98583984375,
151
+ "logits/rejected": 4672.60986328125,
152
+ "logps/chosen": -231.42489624023438,
153
+ "logps/rejected": -196.01947021484375,
154
+ "loss": 1.5778,
155
+ "rewards/accuracies": 0.44999998807907104,
156
+ "rewards/chosen": -12.56345272064209,
157
+ "rewards/margins": -0.9916127324104309,
158
+ "rewards/rejected": -11.571840286254883,
159
+ "step": 90
160
+ },
161
+ {
162
+ "epoch": 0.07849293563579278,
163
+ "grad_norm": 7.59113886837309,
164
+ "learning_rate": 2.3437499999999998e-07,
165
+ "logits/chosen": 4993.03955078125,
166
+ "logits/rejected": 4812.00146484375,
167
+ "logps/chosen": -246.10147094726562,
168
+ "logps/rejected": -233.54025268554688,
169
+ "loss": 1.5199,
170
+ "rewards/accuracies": 0.5249999761581421,
171
+ "rewards/chosen": -35.86996078491211,
172
+ "rewards/margins": -1.7471039295196533,
173
+ "rewards/rejected": -34.122859954833984,
174
+ "step": 100
175
+ },
176
+ {
177
+ "epoch": 0.08634222919937205,
178
+ "grad_norm": 9.015849618304676,
179
+ "learning_rate": 2.5781249999999997e-07,
180
+ "logits/chosen": 4971.4384765625,
181
+ "logits/rejected": 4100.7958984375,
182
+ "logps/chosen": -258.1769104003906,
183
+ "logps/rejected": -242.14089965820312,
184
+ "loss": 1.5138,
185
+ "rewards/accuracies": 0.44999998807907104,
186
+ "rewards/chosen": -75.07661437988281,
187
+ "rewards/margins": -11.86035442352295,
188
+ "rewards/rejected": -63.21626663208008,
189
+ "step": 110
190
+ },
191
+ {
192
+ "epoch": 0.09419152276295134,
193
+ "grad_norm": 10.274748882232315,
194
+ "learning_rate": 2.8125e-07,
195
+ "logits/chosen": 4943.21923828125,
196
+ "logits/rejected": 4107.5322265625,
197
+ "logps/chosen": -274.8851318359375,
198
+ "logps/rejected": -264.3096008300781,
199
+ "loss": 1.4822,
200
+ "rewards/accuracies": 0.5250000357627869,
201
+ "rewards/chosen": -72.01099395751953,
202
+ "rewards/margins": -5.851285934448242,
203
+ "rewards/rejected": -66.15970611572266,
204
+ "step": 120
205
+ },
206
+ {
207
+ "epoch": 0.10204081632653061,
208
+ "grad_norm": 7.144257110565484,
209
+ "learning_rate": 2.999977454977299e-07,
210
+ "logits/chosen": 4948.9169921875,
211
+ "logits/rejected": 4537.37646484375,
212
+ "logps/chosen": -287.4667663574219,
213
+ "logps/rejected": -281.4789123535156,
214
+ "loss": 1.4274,
215
+ "rewards/accuracies": 0.5,
216
+ "rewards/chosen": -77.65235137939453,
217
+ "rewards/margins": 6.16226863861084,
218
+ "rewards/rejected": -83.81462097167969,
219
+ "step": 130
220
+ },
221
+ {
222
+ "epoch": 0.10989010989010989,
223
+ "grad_norm": 8.226551521487808,
224
+ "learning_rate": 2.999188450339425e-07,
225
+ "logits/chosen": 4828.34375,
226
+ "logits/rejected": 4192.6845703125,
227
+ "logps/chosen": -281.3506164550781,
228
+ "logps/rejected": -279.585205078125,
229
+ "loss": 1.3961,
230
+ "rewards/accuracies": 0.5666666626930237,
231
+ "rewards/chosen": -95.67347717285156,
232
+ "rewards/margins": 6.334682464599609,
233
+ "rewards/rejected": -102.00816345214844,
234
+ "step": 140
235
+ },
236
+ {
237
+ "epoch": 0.11773940345368916,
238
+ "grad_norm": 11.507860546274475,
239
+ "learning_rate": 2.997272872179022e-07,
240
+ "logits/chosen": 4970.33837890625,
241
+ "logits/rejected": 4065.40673828125,
242
+ "logps/chosen": -291.5596923828125,
243
+ "logps/rejected": -275.5636291503906,
244
+ "loss": 1.3885,
245
+ "rewards/accuracies": 0.625,
246
+ "rewards/chosen": -89.9407730102539,
247
+ "rewards/margins": 13.317327499389648,
248
+ "rewards/rejected": -103.25809478759766,
249
+ "step": 150
250
+ },
251
+ {
252
+ "epoch": 0.12558869701726844,
253
+ "grad_norm": 10.994369595848676,
254
+ "learning_rate": 2.994232159967983e-07,
255
+ "logits/chosen": 4982.4130859375,
256
+ "logits/rejected": 4372.6259765625,
257
+ "logps/chosen": -284.61468505859375,
258
+ "logps/rejected": -296.10565185546875,
259
+ "loss": 1.3818,
260
+ "rewards/accuracies": 0.6333333849906921,
261
+ "rewards/chosen": -87.11192321777344,
262
+ "rewards/margins": 11.931414604187012,
263
+ "rewards/rejected": -99.0433349609375,
264
+ "step": 160
265
+ },
266
+ {
267
+ "epoch": 0.13343799058084774,
268
+ "grad_norm": 9.481017294519704,
269
+ "learning_rate": 2.990068598666458e-07,
270
+ "logits/chosen": 5221.8046875,
271
+ "logits/rejected": 4557.0537109375,
272
+ "logps/chosen": -301.30633544921875,
273
+ "logps/rejected": -305.81646728515625,
274
+ "loss": 1.3726,
275
+ "rewards/accuracies": 0.6333333253860474,
276
+ "rewards/chosen": -91.6949234008789,
277
+ "rewards/margins": 17.794422149658203,
278
+ "rewards/rejected": -109.48934173583984,
279
+ "step": 170
280
+ },
281
+ {
282
+ "epoch": 0.141287284144427,
283
+ "grad_norm": 14.020275412135652,
284
+ "learning_rate": 2.984785317005808e-07,
285
+ "logits/chosen": 4500.76220703125,
286
+ "logits/rejected": 3867.770751953125,
287
+ "logps/chosen": -281.3055114746094,
288
+ "logps/rejected": -287.490478515625,
289
+ "loss": 1.3686,
290
+ "rewards/accuracies": 0.6333333253860474,
291
+ "rewards/chosen": -92.7432861328125,
292
+ "rewards/margins": 16.572912216186523,
293
+ "rewards/rejected": -109.31620025634766,
294
+ "step": 180
295
+ },
296
+ {
297
+ "epoch": 0.14913657770800628,
298
+ "grad_norm": 15.646225937667412,
299
+ "learning_rate": 2.978386285137506e-07,
300
+ "logits/chosen": 4642.57958984375,
301
+ "logits/rejected": 3846.667236328125,
302
+ "logps/chosen": -290.1266174316406,
303
+ "logps/rejected": -312.9205627441406,
304
+ "loss": 1.355,
305
+ "rewards/accuracies": 0.7250000238418579,
306
+ "rewards/chosen": -86.35670471191406,
307
+ "rewards/margins": 35.351932525634766,
308
+ "rewards/rejected": -121.70863342285156,
309
+ "step": 190
310
+ },
311
+ {
312
+ "epoch": 0.15698587127158556,
313
+ "grad_norm": 11.466454800803227,
314
+ "learning_rate": 2.9708763116497365e-07,
315
+ "logits/chosen": 4456.6640625,
316
+ "logits/rejected": 4046.647705078125,
317
+ "logps/chosen": -272.8510437011719,
318
+ "logps/rejected": -312.5729675292969,
319
+ "loss": 1.3576,
320
+ "rewards/accuracies": 0.7166666388511658,
321
+ "rewards/chosen": -90.31404876708984,
322
+ "rewards/margins": 25.549606323242188,
323
+ "rewards/rejected": -115.86366271972656,
324
+ "step": 200
325
+ },
326
+ {
327
+ "epoch": 0.16483516483516483,
328
+ "grad_norm": 18.323993013074592,
329
+ "learning_rate": 2.962261039953964e-07,
330
+ "logits/chosen": 3986.946044921875,
331
+ "logits/rejected": 3482.71142578125,
332
+ "logps/chosen": -242.8981170654297,
333
+ "logps/rejected": -276.468994140625,
334
+ "loss": 1.3525,
335
+ "rewards/accuracies": 0.7166666984558105,
336
+ "rewards/chosen": -88.96837615966797,
337
+ "rewards/margins": 30.285064697265625,
338
+ "rewards/rejected": -119.2534408569336,
339
+ "step": 210
340
+ },
341
+ {
342
+ "epoch": 0.1726844583987441,
343
+ "grad_norm": 14.15120837947915,
344
+ "learning_rate": 2.952546944044155e-07,
345
+ "logits/chosen": 4956.119140625,
346
+ "logits/rejected": 4112.83984375,
347
+ "logps/chosen": -283.2933349609375,
348
+ "logps/rejected": -285.0084533691406,
349
+ "loss": 1.3478,
350
+ "rewards/accuracies": 0.7250000238418579,
351
+ "rewards/chosen": -87.01918029785156,
352
+ "rewards/margins": 34.038204193115234,
353
+ "rewards/rejected": -121.057373046875,
354
+ "step": 220
355
+ },
356
+ {
357
+ "epoch": 0.18053375196232338,
358
+ "grad_norm": 13.56003679991926,
359
+ "learning_rate": 2.941741323631859e-07,
360
+ "logits/chosen": 4587.6279296875,
361
+ "logits/rejected": 4040.880126953125,
362
+ "logps/chosen": -276.8036804199219,
363
+ "logps/rejected": -302.5361328125,
364
+ "loss": 1.3477,
365
+ "rewards/accuracies": 0.7166666984558105,
366
+ "rewards/chosen": -89.46044921875,
367
+ "rewards/margins": 33.30833435058594,
368
+ "rewards/rejected": -122.76878356933594,
369
+ "step": 230
370
+ },
371
+ {
372
+ "epoch": 0.18838304552590268,
373
+ "grad_norm": 19.695765717669524,
374
+ "learning_rate": 2.929852298660803e-07,
375
+ "logits/chosen": 4106.96533203125,
376
+ "logits/rejected": 3192.676513671875,
377
+ "logps/chosen": -258.5592346191406,
378
+ "logps/rejected": -276.740966796875,
379
+ "loss": 1.3478,
380
+ "rewards/accuracies": 0.7333333492279053,
381
+ "rewards/chosen": -90.93244934082031,
382
+ "rewards/margins": 31.089950561523438,
383
+ "rewards/rejected": -122.02239990234375,
384
+ "step": 240
385
+ },
386
+ {
387
+ "epoch": 0.19623233908948196,
388
+ "grad_norm": 17.837485568500572,
389
+ "learning_rate": 2.9168888032051097e-07,
390
+ "logits/chosen": 4755.09423828125,
391
+ "logits/rejected": 4138.0048828125,
392
+ "logps/chosen": -256.274169921875,
393
+ "logps/rejected": -310.71746826171875,
394
+ "loss": 1.3551,
395
+ "rewards/accuracies": 0.6333333253860474,
396
+ "rewards/chosen": -89.11972045898438,
397
+ "rewards/margins": 37.10137176513672,
398
+ "rewards/rejected": -126.2210922241211,
399
+ "step": 250
400
+ },
401
+ {
402
+ "epoch": 0.20408163265306123,
403
+ "grad_norm": 15.060829491384922,
404
+ "learning_rate": 2.9028605787557423e-07,
405
+ "logits/chosen": 4961.2783203125,
406
+ "logits/rejected": 3883.23583984375,
407
+ "logps/chosen": -295.96575927734375,
408
+ "logps/rejected": -291.8458251953125,
409
+ "loss": 1.362,
410
+ "rewards/accuracies": 0.7250000238418579,
411
+ "rewards/chosen": -96.2462158203125,
412
+ "rewards/margins": 29.351673126220703,
413
+ "rewards/rejected": -125.59788513183594,
414
+ "step": 260
415
+ },
416
+ {
417
+ "epoch": 0.2119309262166405,
418
+ "grad_norm": 21.725472315572194,
419
+ "learning_rate": 2.8877781669002034e-07,
420
+ "logits/chosen": 4907.73681640625,
421
+ "logits/rejected": 4685.39306640625,
422
+ "logps/chosen": -290.1836242675781,
423
+ "logps/rejected": -312.2330627441406,
424
+ "loss": 1.3387,
425
+ "rewards/accuracies": 0.7250000238418579,
426
+ "rewards/chosen": -93.42694854736328,
427
+ "rewards/margins": 30.104965209960938,
428
+ "rewards/rejected": -123.53192138671875,
429
+ "step": 270
430
+ },
431
+ {
432
+ "epoch": 0.21978021978021978,
433
+ "grad_norm": 22.380743969527877,
434
+ "learning_rate": 2.871652901401002e-07,
435
+ "logits/chosen": 4144.8955078125,
436
+ "logits/rejected": 3516.05615234375,
437
+ "logps/chosen": -250.620361328125,
438
+ "logps/rejected": -303.0557861328125,
439
+ "loss": 1.3452,
440
+ "rewards/accuracies": 0.7750000357627869,
441
+ "rewards/chosen": -87.56240844726562,
442
+ "rewards/margins": 46.16553497314453,
443
+ "rewards/rejected": -133.7279510498047,
444
+ "step": 280
445
+ },
446
+ {
447
+ "epoch": 0.22762951334379905,
448
+ "grad_norm": 19.023537926104407,
449
+ "learning_rate": 2.854496899678834e-07,
450
+ "logits/chosen": 5847.7109375,
451
+ "logits/rejected": 4171.96630859375,
452
+ "logps/chosen": -327.1379699707031,
453
+ "logps/rejected": -330.09600830078125,
454
+ "loss": 1.3403,
455
+ "rewards/accuracies": 0.7583333253860474,
456
+ "rewards/chosen": -90.06501007080078,
457
+ "rewards/margins": 57.50885772705078,
458
+ "rewards/rejected": -147.57388305664062,
459
+ "step": 290
460
+ },
461
+ {
462
+ "epoch": 0.23547880690737832,
463
+ "grad_norm": 17.58097454746967,
464
+ "learning_rate": 2.8363230537068793e-07,
465
+ "logits/chosen": 4251.00634765625,
466
+ "logits/rejected": 4112.849609375,
467
+ "logps/chosen": -255.7366485595703,
468
+ "logps/rejected": -293.42156982421875,
469
+ "loss": 1.3468,
470
+ "rewards/accuracies": 0.6750000715255737,
471
+ "rewards/chosen": -88.24583435058594,
472
+ "rewards/margins": 34.95277404785156,
473
+ "rewards/rejected": -123.19859313964844,
474
+ "step": 300
475
+ },
476
+ {
477
+ "epoch": 0.24332810047095763,
478
+ "grad_norm": 14.70842299502561,
479
+ "learning_rate": 2.817145020323055e-07,
480
+ "logits/chosen": 4780.62255859375,
481
+ "logits/rejected": 4147.02685546875,
482
+ "logps/chosen": -269.6231384277344,
483
+ "logps/rejected": -292.3729553222656,
484
+ "loss": 1.3542,
485
+ "rewards/accuracies": 0.6833333373069763,
486
+ "rewards/chosen": -92.05260467529297,
487
+ "rewards/margins": 24.870826721191406,
488
+ "rewards/rejected": -116.9234390258789,
489
+ "step": 310
490
+ },
491
+ {
492
+ "epoch": 0.25117739403453687,
493
+ "grad_norm": 13.938859657249182,
494
+ "learning_rate": 2.7969772109675106e-07,
495
+ "logits/chosen": 4895.505859375,
496
+ "logits/rejected": 4120.4462890625,
497
+ "logps/chosen": -288.72723388671875,
498
+ "logps/rejected": -322.5893859863281,
499
+ "loss": 1.35,
500
+ "rewards/accuracies": 0.6916667222976685,
501
+ "rewards/chosen": -87.61097717285156,
502
+ "rewards/margins": 32.92052459716797,
503
+ "rewards/rejected": -120.53150939941406,
504
+ "step": 320
505
+ },
506
+ {
507
+ "epoch": 0.25902668759811615,
508
+ "grad_norm": 11.637579462880986,
509
+ "learning_rate": 2.775834780853069e-07,
510
+ "logits/chosen": 4723.48291015625,
511
+ "logits/rejected": 4224.01220703125,
512
+ "logps/chosen": -292.0691833496094,
513
+ "logps/rejected": -297.52789306640625,
514
+ "loss": 1.357,
515
+ "rewards/accuracies": 0.6500000357627869,
516
+ "rewards/chosen": -97.65233612060547,
517
+ "rewards/margins": 22.543180465698242,
518
+ "rewards/rejected": -120.19551849365234,
519
+ "step": 330
520
+ },
521
+ {
522
+ "epoch": 0.2668759811616955,
523
+ "grad_norm": 11.50915278056431,
524
+ "learning_rate": 2.75373361757676e-07,
525
+ "logits/chosen": 4986.0654296875,
526
+ "logits/rejected": 4922.3876953125,
527
+ "logps/chosen": -282.6824035644531,
528
+ "logps/rejected": -336.1164855957031,
529
+ "loss": 1.3449,
530
+ "rewards/accuracies": 0.7250000238418579,
531
+ "rewards/chosen": -88.81416320800781,
532
+ "rewards/margins": 26.942358016967773,
533
+ "rewards/rejected": -115.75653076171875,
534
+ "step": 340
535
+ },
536
+ {
537
+ "epoch": 0.27472527472527475,
538
+ "grad_norm": 19.664421369914834,
539
+ "learning_rate": 2.730690329180992e-07,
540
+ "logits/chosen": 5255.826171875,
541
+ "logits/rejected": 4648.89111328125,
542
+ "logps/chosen": -287.81707763671875,
543
+ "logps/rejected": -344.7186279296875,
544
+ "loss": 1.3353,
545
+ "rewards/accuracies": 0.6916666626930237,
546
+ "rewards/chosen": -92.95384216308594,
547
+ "rewards/margins": 44.985557556152344,
548
+ "rewards/rejected": -137.93942260742188,
549
+ "step": 350
550
+ },
551
+ {
552
+ "epoch": 0.282574568288854,
553
+ "grad_norm": 14.042295784485253,
554
+ "learning_rate": 2.7067222316733527e-07,
555
+ "logits/chosen": 4749.18994140625,
556
+ "logits/rejected": 4491.1953125,
557
+ "logps/chosen": -266.18914794921875,
558
+ "logps/rejected": -342.7701416015625,
559
+ "loss": 1.3367,
560
+ "rewards/accuracies": 0.7583333253860474,
561
+ "rewards/chosen": -88.32334899902344,
562
+ "rewards/margins": 55.10559844970703,
563
+ "rewards/rejected": -143.42892456054688,
564
+ "step": 360
565
+ },
566
+ {
567
+ "epoch": 0.2904238618524333,
568
+ "grad_norm": 15.2758713919473,
569
+ "learning_rate": 2.6818473360143916e-07,
570
+ "logits/chosen": 4407.02783203125,
571
+ "logits/rejected": 4003.607421875,
572
+ "logps/chosen": -270.6219787597656,
573
+ "logps/rejected": -287.3055419921875,
574
+ "loss": 1.3537,
575
+ "rewards/accuracies": 0.7250000238418579,
576
+ "rewards/chosen": -86.1965560913086,
577
+ "rewards/margins": 33.04121780395508,
578
+ "rewards/rejected": -119.2377700805664,
579
+ "step": 370
580
+ },
581
+ {
582
+ "epoch": 0.29827315541601257,
583
+ "grad_norm": 13.766452688703493,
584
+ "learning_rate": 2.6560843345831893e-07,
585
+ "logits/chosen": 5333.09375,
586
+ "logits/rejected": 4200.95947265625,
587
+ "logps/chosen": -317.053955078125,
588
+ "logps/rejected": -308.80609130859375,
589
+ "loss": 1.3395,
590
+ "rewards/accuracies": 0.7749999761581421,
591
+ "rewards/chosen": -88.68672943115234,
592
+ "rewards/margins": 37.15703582763672,
593
+ "rewards/rejected": -125.84376525878906,
594
+ "step": 380
595
+ },
596
+ {
597
+ "epoch": 0.30612244897959184,
598
+ "grad_norm": 36.85374368236901,
599
+ "learning_rate": 2.62945258713086e-07,
600
+ "logits/chosen": 5441.1943359375,
601
+ "logits/rejected": 3993.84423828125,
602
+ "logps/chosen": -302.8955993652344,
603
+ "logps/rejected": -322.1986999511719,
604
+ "loss": 1.3343,
605
+ "rewards/accuracies": 0.7749999761581421,
606
+ "rewards/chosen": -87.42176818847656,
607
+ "rewards/margins": 54.94853591918945,
608
+ "rewards/rejected": -142.3703155517578,
609
+ "step": 390
610
+ },
611
+ {
612
+ "epoch": 0.3139717425431711,
613
+ "grad_norm": 14.099963149615544,
614
+ "learning_rate": 2.601972106232561e-07,
615
+ "logits/chosen": 4693.27587890625,
616
+ "logits/rejected": 4468.32373046875,
617
+ "logps/chosen": -273.7616882324219,
618
+ "logps/rejected": -314.75164794921875,
619
+ "loss": 1.3598,
620
+ "rewards/accuracies": 0.7583333253860474,
621
+ "rewards/chosen": -82.94029235839844,
622
+ "rewards/margins": 43.07162857055664,
623
+ "rewards/rejected": -126.01191711425781,
624
+ "step": 400
625
+ },
626
+ {
627
+ "epoch": 0.3218210361067504,
628
+ "grad_norm": 22.82272878384856,
629
+ "learning_rate": 2.5736635422489343e-07,
630
+ "logits/chosen": 5083.9404296875,
631
+ "logits/rejected": 4400.0224609375,
632
+ "logps/chosen": -309.4847717285156,
633
+ "logps/rejected": -357.3506774902344,
634
+ "loss": 1.3187,
635
+ "rewards/accuracies": 0.7333333492279053,
636
+ "rewards/chosen": -97.01141357421875,
637
+ "rewards/margins": 51.86890411376953,
638
+ "rewards/rejected": -148.88031005859375,
639
+ "step": 410
640
+ },
641
+ {
642
+ "epoch": 0.32967032967032966,
643
+ "grad_norm": 13.413614592026427,
644
+ "learning_rate": 2.5445481678082706e-07,
645
+ "logits/chosen": 4738.033203125,
646
+ "logits/rejected": 4165.1875,
647
+ "logps/chosen": -292.02459716796875,
648
+ "logps/rejected": -313.284912109375,
649
+ "loss": 1.3412,
650
+ "rewards/accuracies": 0.7583333253860474,
651
+ "rewards/chosen": -87.97795104980469,
652
+ "rewards/margins": 44.012813568115234,
653
+ "rewards/rejected": -131.9907684326172,
654
+ "step": 420
655
+ },
656
+ {
657
+ "epoch": 0.33751962323390894,
658
+ "grad_norm": 16.35310936737267,
659
+ "learning_rate": 2.514647861821081e-07,
660
+ "logits/chosen": 4596.02392578125,
661
+ "logits/rejected": 3646.234375,
662
+ "logps/chosen": -269.6007080078125,
663
+ "logps/rejected": -309.58538818359375,
664
+ "loss": 1.3277,
665
+ "rewards/accuracies": 0.800000011920929,
666
+ "rewards/chosen": -89.86016845703125,
667
+ "rewards/margins": 58.46223831176758,
668
+ "rewards/rejected": -148.32241821289062,
669
+ "step": 430
670
+ },
671
+ {
672
+ "epoch": 0.3453689167974882,
673
+ "grad_norm": 13.924787630126689,
674
+ "learning_rate": 2.483985093039065e-07,
675
+ "logits/chosen": 4906.8564453125,
676
+ "logits/rejected": 4671.38818359375,
677
+ "logps/chosen": -275.3404846191406,
678
+ "logps/rejected": -325.6501770019531,
679
+ "loss": 1.3556,
680
+ "rewards/accuracies": 0.7083333730697632,
681
+ "rewards/chosen": -92.95171356201172,
682
+ "rewards/margins": 41.062828063964844,
683
+ "rewards/rejected": -134.01454162597656,
684
+ "step": 440
685
+ },
686
+ {
687
+ "epoch": 0.3532182103610675,
688
+ "grad_norm": 12.974922593697578,
689
+ "learning_rate": 2.4525829031708404e-07,
690
+ "logits/chosen": 5700.68115234375,
691
+ "logits/rejected": 3948.375732421875,
692
+ "logps/chosen": -295.39019775390625,
693
+ "logps/rejected": -297.334228515625,
694
+ "loss": 1.3449,
695
+ "rewards/accuracies": 0.7416667342185974,
696
+ "rewards/chosen": -86.63603973388672,
697
+ "rewards/margins": 47.681427001953125,
698
+ "rewards/rejected": -134.3174591064453,
699
+ "step": 450
700
+ },
701
+ {
702
+ "epoch": 0.36106750392464676,
703
+ "grad_norm": 13.7663993271018,
704
+ "learning_rate": 2.420464889567126e-07,
705
+ "logits/chosen": 5984.6328125,
706
+ "logits/rejected": 4481.2509765625,
707
+ "logps/chosen": -346.4881286621094,
708
+ "logps/rejected": -334.8788146972656,
709
+ "loss": 1.3296,
710
+ "rewards/accuracies": 0.7749999761581421,
711
+ "rewards/chosen": -96.00253295898438,
712
+ "rewards/margins": 48.739898681640625,
713
+ "rewards/rejected": -144.74244689941406,
714
+ "step": 460
715
+ },
716
+ {
717
+ "epoch": 0.36891679748822603,
718
+ "grad_norm": 16.285406224013258,
719
+ "learning_rate": 2.3876551874883775e-07,
720
+ "logits/chosen": 5035.26953125,
721
+ "logits/rejected": 4289.298828125,
722
+ "logps/chosen": -301.6008605957031,
723
+ "logps/rejected": -343.3747253417969,
724
+ "loss": 1.3369,
725
+ "rewards/accuracies": 0.7250000238418579,
726
+ "rewards/chosen": -89.3971939086914,
727
+ "rewards/margins": 51.47382736206055,
728
+ "rewards/rejected": -140.8710174560547,
729
+ "step": 470
730
+ },
731
+ {
732
+ "epoch": 0.37676609105180536,
733
+ "grad_norm": 12.840284775101187,
734
+ "learning_rate": 2.354178451968214e-07,
735
+ "logits/chosen": 5432.525390625,
736
+ "logits/rejected": 4493.26953125,
737
+ "logps/chosen": -295.23321533203125,
738
+ "logps/rejected": -313.70111083984375,
739
+ "loss": 1.3372,
740
+ "rewards/accuracies": 0.7833333611488342,
741
+ "rewards/chosen": -87.82811737060547,
742
+ "rewards/margins": 51.47626876831055,
743
+ "rewards/rejected": -139.30441284179688,
744
+ "step": 480
745
+ },
746
+ {
747
+ "epoch": 0.38461538461538464,
748
+ "grad_norm": 13.012539888722776,
749
+ "learning_rate": 2.3200598392862542e-07,
750
+ "logits/chosen": 5000.28125,
751
+ "logits/rejected": 4610.8955078125,
752
+ "logps/chosen": -264.51531982421875,
753
+ "logps/rejected": -339.9250183105469,
754
+ "loss": 1.3246,
755
+ "rewards/accuracies": 0.75,
756
+ "rewards/chosen": -87.90812683105469,
757
+ "rewards/margins": 49.94524383544922,
758
+ "rewards/rejected": -137.85336303710938,
759
+ "step": 490
760
+ },
761
+ {
762
+ "epoch": 0.3924646781789639,
763
+ "grad_norm": 18.56442430897208,
764
+ "learning_rate": 2.2853249880642897e-07,
765
+ "logits/chosen": 5522.9404296875,
766
+ "logits/rejected": 4092.22265625,
767
+ "logps/chosen": -323.59771728515625,
768
+ "logps/rejected": -357.1122131347656,
769
+ "loss": 1.3349,
770
+ "rewards/accuracies": 0.7416666746139526,
771
+ "rewards/chosen": -101.6022720336914,
772
+ "rewards/margins": 52.95317459106445,
773
+ "rewards/rejected": -154.55545043945312,
774
+ "step": 500
775
+ },
776
+ {
777
+ "epoch": 0.4003139717425432,
778
+ "grad_norm": 14.082902463369917,
779
+ "learning_rate": 2.25e-07,
780
+ "logits/chosen": 4505.0869140625,
781
+ "logits/rejected": 3814.422607421875,
782
+ "logps/chosen": -273.663330078125,
783
+ "logps/rejected": -298.57855224609375,
784
+ "loss": 1.328,
785
+ "rewards/accuracies": 0.7916668057441711,
786
+ "rewards/chosen": -84.23956298828125,
787
+ "rewards/margins": 48.00691223144531,
788
+ "rewards/rejected": -132.2464599609375,
789
+ "step": 510
790
+ },
791
+ {
792
+ "epoch": 0.40816326530612246,
793
+ "grad_norm": 12.873522668189558,
794
+ "learning_rate": 2.2141114202526867e-07,
795
+ "logits/chosen": 4780.2392578125,
796
+ "logits/rejected": 4262.83203125,
797
+ "logps/chosen": -296.81536865234375,
798
+ "logps/rejected": -335.5638122558594,
799
+ "loss": 1.365,
800
+ "rewards/accuracies": 0.6666666269302368,
801
+ "rewards/chosen": -98.39509582519531,
802
+ "rewards/margins": 41.327919006347656,
803
+ "rewards/rejected": -139.7230224609375,
804
+ "step": 520
805
+ },
806
+ {
807
+ "epoch": 0.41601255886970173,
808
+ "grad_norm": 12.684426666795588,
809
+ "learning_rate": 2.1776862174957646e-07,
810
+ "logits/chosen": 5397.5029296875,
811
+ "logits/rejected": 4275.8896484375,
812
+ "logps/chosen": -295.6401672363281,
813
+ "logps/rejected": -316.23468017578125,
814
+ "loss": 1.3303,
815
+ "rewards/accuracies": 0.75,
816
+ "rewards/chosen": -82.70533752441406,
817
+ "rewards/margins": 34.76225662231445,
818
+ "rewards/rejected": -117.46760559082031,
819
+ "step": 530
820
+ },
821
+ {
822
+ "epoch": 0.423861852433281,
823
+ "grad_norm": 22.323475438849997,
824
+ "learning_rate": 2.1407517636510023e-07,
825
+ "logits/chosen": 5051.541015625,
826
+ "logits/rejected": 4335.1279296875,
827
+ "logps/chosen": -312.322265625,
828
+ "logps/rejected": -339.65802001953125,
829
+ "loss": 1.3352,
830
+ "rewards/accuracies": 0.7583333253860474,
831
+ "rewards/chosen": -101.51814270019531,
832
+ "rewards/margins": 49.8724479675293,
833
+ "rewards/rejected": -151.39059448242188,
834
+ "step": 540
835
+ },
836
+ {
837
+ "epoch": 0.4317111459968603,
838
+ "grad_norm": 21.570737156393047,
839
+ "learning_rate": 2.1033358133197376e-07,
840
+ "logits/chosen": 4971.50927734375,
841
+ "logits/rejected": 4415.0771484375,
842
+ "logps/chosen": -298.01519775390625,
843
+ "logps/rejected": -359.4136962890625,
844
+ "loss": 1.3335,
845
+ "rewards/accuracies": 0.7500000596046448,
846
+ "rewards/chosen": -83.20237731933594,
847
+ "rewards/margins": 51.15970230102539,
848
+ "rewards/rejected": -134.36209106445312,
849
+ "step": 550
850
+ },
851
+ {
852
+ "epoch": 0.43956043956043955,
853
+ "grad_norm": 12.415018699318011,
854
+ "learning_rate": 2.0654664829265295e-07,
855
+ "logits/chosen": 4912.80859375,
856
+ "logits/rejected": 4474.53515625,
857
+ "logps/chosen": -297.15765380859375,
858
+ "logps/rejected": -323.38116455078125,
859
+ "loss": 1.3455,
860
+ "rewards/accuracies": 0.7083333730697632,
861
+ "rewards/chosen": -93.88143157958984,
862
+ "rewards/margins": 36.26217269897461,
863
+ "rewards/rejected": -130.1436004638672,
864
+ "step": 560
865
+ },
866
+ {
867
+ "epoch": 0.4474097331240188,
868
+ "grad_norm": 20.61913444595419,
869
+ "learning_rate": 2.027172229590914e-07,
870
+ "logits/chosen": 5299.6044921875,
871
+ "logits/rejected": 4737.7197265625,
872
+ "logps/chosen": -336.34356689453125,
873
+ "logps/rejected": -368.6340026855469,
874
+ "loss": 1.3334,
875
+ "rewards/accuracies": 0.7750000357627869,
876
+ "rewards/chosen": -93.41209411621094,
877
+ "rewards/margins": 51.496124267578125,
878
+ "rewards/rejected": -144.90821838378906,
879
+ "step": 570
880
+ },
881
+ {
882
+ "epoch": 0.4552590266875981,
883
+ "grad_norm": 31.600089809367816,
884
+ "learning_rate": 1.9884818297431403e-07,
885
+ "logits/chosen": 5278.46240234375,
886
+ "logits/rejected": 4592.17578125,
887
+ "logps/chosen": -296.7460632324219,
888
+ "logps/rejected": -345.90313720703125,
889
+ "loss": 1.3445,
890
+ "rewards/accuracies": 0.7583333849906921,
891
+ "rewards/chosen": -84.3451156616211,
892
+ "rewards/margins": 48.27422332763672,
893
+ "rewards/rejected": -132.6193389892578,
894
+ "step": 580
895
+ },
896
+ {
897
+ "epoch": 0.4631083202511774,
898
+ "grad_norm": 15.260249014970388,
899
+ "learning_rate": 1.9494243574999645e-07,
900
+ "logits/chosen": 5775.82470703125,
901
+ "logits/rejected": 4653.576171875,
902
+ "logps/chosen": -324.98199462890625,
903
+ "logps/rejected": -319.8547668457031,
904
+ "loss": 1.3314,
905
+ "rewards/accuracies": 0.7250000238418579,
906
+ "rewards/chosen": -93.31060028076172,
907
+ "rewards/margins": 47.719669342041016,
908
+ "rewards/rejected": -141.0302734375,
909
+ "step": 590
910
+ },
911
+ {
912
+ "epoch": 0.47095761381475665,
913
+ "grad_norm": 15.88452181021661,
914
+ "learning_rate": 1.9100291628167416e-07,
915
+ "logits/chosen": 5445.01904296875,
916
+ "logits/rejected": 4488.2998046875,
917
+ "logps/chosen": -265.55645751953125,
918
+ "logps/rejected": -320.50567626953125,
919
+ "loss": 1.3278,
920
+ "rewards/accuracies": 0.7500000596046448,
921
+ "rewards/chosen": -88.00885009765625,
922
+ "rewards/margins": 42.79914093017578,
923
+ "rewards/rejected": -130.8079833984375,
924
+ "step": 600
925
+ },
926
+ {
927
+ "epoch": 0.478806907378336,
928
+ "grad_norm": 20.55547909163982,
929
+ "learning_rate": 1.870325849432238e-07,
930
+ "logits/chosen": 5234.193359375,
931
+ "logits/rejected": 4424.484375,
932
+ "logps/chosen": -293.6166076660156,
933
+ "logps/rejected": -331.92974853515625,
934
+ "loss": 1.3129,
935
+ "rewards/accuracies": 0.7749999761581421,
936
+ "rewards/chosen": -87.48274993896484,
937
+ "rewards/margins": 59.040428161621094,
938
+ "rewards/rejected": -146.52317810058594,
939
+ "step": 610
940
+ },
941
+ {
942
+ "epoch": 0.48665620094191525,
943
+ "grad_norm": 17.927137367169394,
944
+ "learning_rate": 1.8303442526227364e-07,
945
+ "logits/chosen": 4438.71240234375,
946
+ "logits/rejected": 3490.155029296875,
947
+ "logps/chosen": -275.29241943359375,
948
+ "logps/rejected": -313.7520751953125,
949
+ "loss": 1.3229,
950
+ "rewards/accuracies": 0.7666666507720947,
951
+ "rewards/chosen": -91.52749633789062,
952
+ "rewards/margins": 61.12894821166992,
953
+ "rewards/rejected": -152.6564178466797,
954
+ "step": 620
955
+ },
956
+ {
957
+ "epoch": 0.4945054945054945,
958
+ "grad_norm": 20.192182222445886,
959
+ "learning_rate": 1.7901144167821507e-07,
960
+ "logits/chosen": 5873.173828125,
961
+ "logits/rejected": 4774.25537109375,
962
+ "logps/chosen": -323.35992431640625,
963
+ "logps/rejected": -342.5325012207031,
964
+ "loss": 1.3214,
965
+ "rewards/accuracies": 0.7833333611488342,
966
+ "rewards/chosen": -80.52757263183594,
967
+ "rewards/margins": 67.7401123046875,
968
+ "rewards/rejected": -148.26768493652344,
969
+ "step": 630
970
+ },
971
+ {
972
+ "epoch": 0.5023547880690737,
973
+ "grad_norm": 13.166592462596656,
974
+ "learning_rate": 1.749666572845e-07,
975
+ "logits/chosen": 5518.23046875,
976
+ "logits/rejected": 4573.6103515625,
977
+ "logps/chosen": -308.5555419921875,
978
+ "logps/rejected": -345.7183837890625,
979
+ "loss": 1.3288,
980
+ "rewards/accuracies": 0.7083333730697632,
981
+ "rewards/chosen": -97.77859497070312,
982
+ "rewards/margins": 33.44771194458008,
983
+ "rewards/rejected": -131.226318359375,
984
+ "step": 640
985
+ },
986
+ {
987
+ "epoch": 0.5102040816326531,
988
+ "grad_norm": 13.697385802349345,
989
+ "learning_rate": 1.7090311155692034e-07,
990
+ "logits/chosen": 4693.83349609375,
991
+ "logits/rejected": 3723.333984375,
992
+ "logps/chosen": -293.64495849609375,
993
+ "logps/rejected": -310.81787109375,
994
+ "loss": 1.3321,
995
+ "rewards/accuracies": 0.7416666746139526,
996
+ "rewards/chosen": -97.3224105834961,
997
+ "rewards/margins": 44.76685333251953,
998
+ "rewards/rejected": -142.08926391601562,
999
+ "step": 650
1000
+ },
1001
+ {
1002
+ "epoch": 0.5180533751962323,
1003
+ "grad_norm": 25.46823282035701,
1004
+ "learning_rate": 1.6682385806957695e-07,
1005
+ "logits/chosen": 5368.3603515625,
1006
+ "logits/rejected": 4091.384765625,
1007
+ "logps/chosen": -303.13446044921875,
1008
+ "logps/rejected": -332.54107666015625,
1009
+ "loss": 1.3345,
1010
+ "rewards/accuracies": 0.800000011920929,
1011
+ "rewards/chosen": -85.75367736816406,
1012
+ "rewards/margins": 58.79213333129883,
1013
+ "rewards/rejected": -144.5458221435547,
1014
+ "step": 660
1015
+ },
1016
+ {
1017
+ "epoch": 0.5259026687598116,
1018
+ "grad_norm": 14.259535892393998,
1019
+ "learning_rate": 1.627319622002544e-07,
1020
+ "logits/chosen": 5289.35595703125,
1021
+ "logits/rejected": 4184.24462890625,
1022
+ "logps/chosen": -298.56573486328125,
1023
+ "logps/rejected": -323.38275146484375,
1024
+ "loss": 1.3366,
1025
+ "rewards/accuracies": 0.7333333492279053,
1026
+ "rewards/chosen": -91.83341979980469,
1027
+ "rewards/margins": 42.687252044677734,
1028
+ "rewards/rejected": -134.52066040039062,
1029
+ "step": 670
1030
+ },
1031
+ {
1032
+ "epoch": 0.533751962323391,
1033
+ "grad_norm": 13.615931001877374,
1034
+ "learning_rate": 1.5863049882692565e-07,
1035
+ "logits/chosen": 5200.74267578125,
1036
+ "logits/rejected": 4202.2919921875,
1037
+ "logps/chosen": -306.4901123046875,
1038
+ "logps/rejected": -322.50390625,
1039
+ "loss": 1.3358,
1040
+ "rewards/accuracies": 0.800000011920929,
1041
+ "rewards/chosen": -92.8583984375,
1042
+ "rewards/margins": 50.42744445800781,
1043
+ "rewards/rejected": -143.28582763671875,
1044
+ "step": 680
1045
+ },
1046
+ {
1047
+ "epoch": 0.5416012558869702,
1048
+ "grad_norm": 18.445984962657718,
1049
+ "learning_rate": 1.5452255001711795e-07,
1050
+ "logits/chosen": 5152.58740234375,
1051
+ "logits/rejected": 4540.1044921875,
1052
+ "logps/chosen": -297.11669921875,
1053
+ "logps/rejected": -357.1095275878906,
1054
+ "loss": 1.3182,
1055
+ "rewards/accuracies": 0.800000011920929,
1056
+ "rewards/chosen": -87.97896575927734,
1057
+ "rewards/margins": 52.92973709106445,
1058
+ "rewards/rejected": -140.90872192382812,
1059
+ "step": 690
1060
+ },
1061
+ {
1062
+ "epoch": 0.5494505494505495,
1063
+ "grad_norm": 22.733099236513056,
1064
+ "learning_rate": 1.50411202711876e-07,
1065
+ "logits/chosen": 4857.0771484375,
1066
+ "logits/rejected": 4486.8955078125,
1067
+ "logps/chosen": -285.587646484375,
1068
+ "logps/rejected": -335.50311279296875,
1069
+ "loss": 1.3496,
1070
+ "rewards/accuracies": 0.7416666746139526,
1071
+ "rewards/chosen": -96.36004638671875,
1072
+ "rewards/margins": 52.195396423339844,
1073
+ "rewards/rejected": -148.55545043945312,
1074
+ "step": 700
1075
+ },
1076
+ {
1077
+ "epoch": 0.5572998430141287,
1078
+ "grad_norm": 13.753296852144786,
1079
+ "learning_rate": 1.4629954640606275e-07,
1080
+ "logits/chosen": 4837.16650390625,
1081
+ "logits/rejected": 4699.06884765625,
1082
+ "logps/chosen": -282.49725341796875,
1083
+ "logps/rejected": -339.46014404296875,
1084
+ "loss": 1.3241,
1085
+ "rewards/accuracies": 0.75,
1086
+ "rewards/chosen": -88.5594253540039,
1087
+ "rewards/margins": 48.25908660888672,
1088
+ "rewards/rejected": -136.81851196289062,
1089
+ "step": 710
1090
+ },
1091
+ {
1092
+ "epoch": 0.565149136577708,
1093
+ "grad_norm": 23.74236196605101,
1094
+ "learning_rate": 1.4219067082674153e-07,
1095
+ "logits/chosen": 5229.64599609375,
1096
+ "logits/rejected": 4363.564453125,
1097
+ "logps/chosen": -307.42694091796875,
1098
+ "logps/rejected": -333.94476318359375,
1099
+ "loss": 1.3345,
1100
+ "rewards/accuracies": 0.7749999761581421,
1101
+ "rewards/chosen": -88.42107391357422,
1102
+ "rewards/margins": 45.73460006713867,
1103
+ "rewards/rejected": -134.1556854248047,
1104
+ "step": 720
1105
+ },
1106
+ {
1107
+ "epoch": 0.5729984301412873,
1108
+ "grad_norm": 14.581185643023554,
1109
+ "learning_rate": 1.3808766361138294e-07,
1110
+ "logits/chosen": 5660.58642578125,
1111
+ "logits/rejected": 4180.7021484375,
1112
+ "logps/chosen": -318.3136901855469,
1113
+ "logps/rejected": -321.05255126953125,
1114
+ "loss": 1.3196,
1115
+ "rewards/accuracies": 0.75,
1116
+ "rewards/chosen": -93.13568115234375,
1117
+ "rewards/margins": 52.86260223388672,
1118
+ "rewards/rejected": -145.99827575683594,
1119
+ "step": 730
1120
+ },
1121
+ {
1122
+ "epoch": 0.5808477237048666,
1123
+ "grad_norm": 20.680345594369143,
1124
+ "learning_rate": 1.3399360798764307e-07,
1125
+ "logits/chosen": 4665.7041015625,
1126
+ "logits/rejected": 3810.73828125,
1127
+ "logps/chosen": -277.14202880859375,
1128
+ "logps/rejected": -301.589111328125,
1129
+ "loss": 1.3096,
1130
+ "rewards/accuracies": 0.7916666269302368,
1131
+ "rewards/chosen": -84.7000732421875,
1132
+ "rewards/margins": 54.24741744995117,
1133
+ "rewards/rejected": -138.94747924804688,
1134
+ "step": 740
1135
+ },
1136
+ {
1137
+ "epoch": 0.5886970172684458,
1138
+ "grad_norm": 21.101874083978554,
1139
+ "learning_rate": 1.2991158045645435e-07,
1140
+ "logits/chosen": 5032.05322265625,
1141
+ "logits/rejected": 4430.30322265625,
1142
+ "logps/chosen": -268.8847961425781,
1143
+ "logps/rejected": -301.6675109863281,
1144
+ "loss": 1.3294,
1145
+ "rewards/accuracies": 0.7250000238418579,
1146
+ "rewards/chosen": -88.50262451171875,
1147
+ "rewards/margins": 46.05238723754883,
1148
+ "rewards/rejected": -134.55502319335938,
1149
+ "step": 750
1150
+ },
1151
+ {
1152
+ "epoch": 0.5965463108320251,
1153
+ "grad_norm": 16.80574616569174,
1154
+ "learning_rate": 1.2584464848017214e-07,
1155
+ "logits/chosen": 5412.44775390625,
1156
+ "logits/rejected": 4117.3740234375,
1157
+ "logps/chosen": -287.7677001953125,
1158
+ "logps/rejected": -306.7326354980469,
1159
+ "loss": 1.3314,
1160
+ "rewards/accuracies": 0.7666666507720947,
1161
+ "rewards/chosen": -84.49854278564453,
1162
+ "rewards/margins": 47.73679733276367,
1163
+ "rewards/rejected": -132.23533630371094,
1164
+ "step": 760
1165
+ },
1166
+ {
1167
+ "epoch": 0.6043956043956044,
1168
+ "grad_norm": 26.26369158658654,
1169
+ "learning_rate": 1.2179586817751263e-07,
1170
+ "logits/chosen": 5509.0380859375,
1171
+ "logits/rejected": 4625.6474609375,
1172
+ "logps/chosen": -320.41656494140625,
1173
+ "logps/rejected": -366.6982421875,
1174
+ "loss": 1.3377,
1175
+ "rewards/accuracies": 0.7166667580604553,
1176
+ "rewards/chosen": -90.7030258178711,
1177
+ "rewards/margins": 52.11555099487305,
1178
+ "rewards/rejected": -142.81857299804688,
1179
+ "step": 770
1180
+ },
1181
+ {
1182
+ "epoch": 0.6122448979591837,
1183
+ "grad_norm": 16.19764581259732,
1184
+ "learning_rate": 1.177682820270159e-07,
1185
+ "logits/chosen": 5451.91162109375,
1186
+ "logits/rejected": 5010.38232421875,
1187
+ "logps/chosen": -305.00799560546875,
1188
+ "logps/rejected": -377.30596923828125,
1189
+ "loss": 1.3328,
1190
+ "rewards/accuracies": 0.7749999761581421,
1191
+ "rewards/chosen": -88.89636993408203,
1192
+ "rewards/margins": 51.006568908691406,
1193
+ "rewards/rejected": -139.9029541015625,
1194
+ "step": 780
1195
+ },
1196
+ {
1197
+ "epoch": 0.6200941915227629,
1198
+ "grad_norm": 16.344358737664763,
1199
+ "learning_rate": 1.13764916580758e-07,
1200
+ "logits/chosen": 4994.599609375,
1201
+ "logits/rejected": 4273.96875,
1202
+ "logps/chosen": -293.0992126464844,
1203
+ "logps/rejected": -346.97467041015625,
1204
+ "loss": 1.3234,
1205
+ "rewards/accuracies": 0.7916667461395264,
1206
+ "rewards/chosen": -94.93836975097656,
1207
+ "rewards/margins": 63.40740966796875,
1208
+ "rewards/rejected": -158.3457794189453,
1209
+ "step": 790
1210
+ },
1211
+ {
1212
+ "epoch": 0.6279434850863422,
1213
+ "grad_norm": 18.968431335137478,
1214
+ "learning_rate": 1.0978878019003183e-07,
1215
+ "logits/chosen": 5044.96875,
1216
+ "logits/rejected": 4262.8154296875,
1217
+ "logps/chosen": -310.9752502441406,
1218
+ "logps/rejected": -353.9684143066406,
1219
+ "loss": 1.3377,
1220
+ "rewards/accuracies": 0.75,
1221
+ "rewards/chosen": -94.22391510009766,
1222
+ "rewards/margins": 47.09145736694336,
1223
+ "rewards/rejected": -141.31536865234375,
1224
+ "step": 800
1225
+ },
1226
+ {
1227
+ "epoch": 0.6357927786499215,
1228
+ "grad_norm": 13.606253137803622,
1229
+ "learning_rate": 1.0584286074470446e-07,
1230
+ "logits/chosen": 4622.6064453125,
1231
+ "logits/rejected": 3968.47412109375,
1232
+ "logps/chosen": -293.10089111328125,
1233
+ "logps/rejected": -363.0287170410156,
1234
+ "loss": 1.3322,
1235
+ "rewards/accuracies": 0.7416666746139526,
1236
+ "rewards/chosen": -90.6499252319336,
1237
+ "rewards/margins": 51.11803436279297,
1238
+ "rewards/rejected": -141.7679443359375,
1239
+ "step": 810
1240
+ },
1241
+ {
1242
+ "epoch": 0.6436420722135008,
1243
+ "grad_norm": 38.62289956267384,
1244
+ "learning_rate": 1.0193012342795095e-07,
1245
+ "logits/chosen": 5154.56494140625,
1246
+ "logits/rejected": 3781.949951171875,
1247
+ "logps/chosen": -306.31817626953125,
1248
+ "logps/rejected": -307.9537048339844,
1249
+ "loss": 1.32,
1250
+ "rewards/accuracies": 0.8333333730697632,
1251
+ "rewards/chosen": -85.11204528808594,
1252
+ "rewards/margins": 54.1730842590332,
1253
+ "rewards/rejected": -139.28512573242188,
1254
+ "step": 820
1255
+ },
1256
+ {
1257
+ "epoch": 0.6514913657770801,
1258
+ "grad_norm": 22.79781152184824,
1259
+ "learning_rate": 9.805350848805078e-08,
1260
+ "logits/chosen": 5019.9873046875,
1261
+ "logits/rejected": 4204.40673828125,
1262
+ "logps/chosen": -296.72509765625,
1263
+ "logps/rejected": -338.36236572265625,
1264
+ "loss": 1.3248,
1265
+ "rewards/accuracies": 0.7666666507720947,
1266
+ "rewards/chosen": -92.53424072265625,
1267
+ "rewards/margins": 53.35478973388672,
1268
+ "rewards/rejected": -145.88902282714844,
1269
+ "step": 830
1270
+ },
1271
+ {
1272
+ "epoch": 0.6593406593406593,
1273
+ "grad_norm": 14.988614689944379,
1274
+ "learning_rate": 9.421592902892184e-08,
1275
+ "logits/chosen": 5479.388671875,
1276
+ "logits/rejected": 4344.3359375,
1277
+ "logps/chosen": -319.1064147949219,
1278
+ "logps/rejected": -352.5812683105469,
1279
+ "loss": 1.3196,
1280
+ "rewards/accuracies": 0.6833332777023315,
1281
+ "rewards/chosen": -91.74089050292969,
1282
+ "rewards/margins": 48.036460876464844,
1283
+ "rewards/rejected": -139.77737426757812,
1284
+ "step": 840
1285
+ },
1286
+ {
1287
+ "epoch": 0.6671899529042387,
1288
+ "grad_norm": 16.378454591394703,
1289
+ "learning_rate": 9.042026882105215e-08,
1290
+ "logits/chosen": 5068.8427734375,
1291
+ "logits/rejected": 4380.408203125,
1292
+ "logps/chosen": -304.6463928222656,
1293
+ "logps/rejected": -351.93988037109375,
1294
+ "loss": 1.311,
1295
+ "rewards/accuracies": 0.7416666746139526,
1296
+ "rewards/chosen": -89.17027282714844,
1297
+ "rewards/margins": 62.253204345703125,
1298
+ "rewards/rejected": -151.42349243164062,
1299
+ "step": 850
1300
+ },
1301
+ {
1302
+ "epoch": 0.6750392464678179,
1303
+ "grad_norm": 33.867305610136256,
1304
+ "learning_rate": 8.666938013447484e-08,
1305
+ "logits/chosen": 5499.62353515625,
1306
+ "logits/rejected": 4524.25390625,
1307
+ "logps/chosen": -333.63714599609375,
1308
+ "logps/rejected": -339.46429443359375,
1309
+ "loss": 1.3436,
1310
+ "rewards/accuracies": 0.7416666150093079,
1311
+ "rewards/chosen": -85.83646392822266,
1312
+ "rewards/margins": 50.95392990112305,
1313
+ "rewards/rejected": -136.79037475585938,
1314
+ "step": 860
1315
+ },
1316
+ {
1317
+ "epoch": 0.6828885400313972,
1318
+ "grad_norm": 16.295742425420926,
1319
+ "learning_rate": 8.29660815954134e-08,
1320
+ "logits/chosen": 5463.05712890625,
1321
+ "logits/rejected": 4347.86669921875,
1322
+ "logps/chosen": -314.76629638671875,
1323
+ "logps/rejected": -340.78515625,
1324
+ "loss": 1.3232,
1325
+ "rewards/accuracies": 0.7749999761581421,
1326
+ "rewards/chosen": -84.63117980957031,
1327
+ "rewards/margins": 55.43559646606445,
1328
+ "rewards/rejected": -140.0667724609375,
1329
+ "step": 870
1330
+ },
1331
+ {
1332
+ "epoch": 0.6907378335949764,
1333
+ "grad_norm": 35.343044136950866,
1334
+ "learning_rate": 7.931315606820979e-08,
1335
+ "logits/chosen": 4798.94140625,
1336
+ "logits/rejected": 4442.7099609375,
1337
+ "logps/chosen": -299.4132080078125,
1338
+ "logps/rejected": -370.7325744628906,
1339
+ "loss": 1.3375,
1340
+ "rewards/accuracies": 0.7500000596046448,
1341
+ "rewards/chosen": -88.87822723388672,
1342
+ "rewards/margins": 50.25794219970703,
1343
+ "rewards/rejected": -139.13616943359375,
1344
+ "step": 880
1345
+ },
1346
+ {
1347
+ "epoch": 0.6985871271585558,
1348
+ "grad_norm": 15.65569216217348,
1349
+ "learning_rate": 7.571334856412503e-08,
1350
+ "logits/chosen": 5700.92724609375,
1351
+ "logits/rejected": 4396.40234375,
1352
+ "logps/chosen": -342.78717041015625,
1353
+ "logps/rejected": -354.91058349609375,
1354
+ "loss": 1.337,
1355
+ "rewards/accuracies": 0.8083333969116211,
1356
+ "rewards/chosen": -85.16032409667969,
1357
+ "rewards/margins": 57.98085403442383,
1358
+ "rewards/rejected": -143.14117431640625,
1359
+ "step": 890
1360
+ },
1361
+ {
1362
+ "epoch": 0.706436420722135,
1363
+ "grad_norm": 18.88682608723191,
1364
+ "learning_rate": 7.216936417858549e-08,
1365
+ "logits/chosen": 4812.2412109375,
1366
+ "logits/rejected": 4236.50439453125,
1367
+ "logps/chosen": -288.49560546875,
1368
+ "logps/rejected": -342.0299987792969,
1369
+ "loss": 1.3348,
1370
+ "rewards/accuracies": 0.7250000238418579,
1371
+ "rewards/chosen": -84.1703872680664,
1372
+ "rewards/margins": 47.417232513427734,
1373
+ "rewards/rejected": -131.58761596679688,
1374
+ "step": 900
1375
+ },
1376
+ {
1377
+ "epoch": 0.7142857142857143,
1378
+ "grad_norm": 16.830087200212606,
1379
+ "learning_rate": 6.868386605842379e-08,
1380
+ "logits/chosen": 4705.6962890625,
1381
+ "logits/rejected": 4288.7353515625,
1382
+ "logps/chosen": -298.02349853515625,
1383
+ "logps/rejected": -354.6422119140625,
1384
+ "loss": 1.3302,
1385
+ "rewards/accuracies": 0.7666666507720947,
1386
+ "rewards/chosen": -89.75446319580078,
1387
+ "rewards/margins": 56.94415283203125,
1388
+ "rewards/rejected": -146.6986083984375,
1389
+ "step": 910
1390
+ },
1391
+ {
1392
+ "epoch": 0.7221350078492935,
1393
+ "grad_norm": 15.005561893820257,
1394
+ "learning_rate": 6.525947340064232e-08,
1395
+ "logits/chosen": 5283.912109375,
1396
+ "logits/rejected": 4178.82958984375,
1397
+ "logps/chosen": -321.24029541015625,
1398
+ "logps/rejected": -337.23944091796875,
1399
+ "loss": 1.3283,
1400
+ "rewards/accuracies": 0.7666667103767395,
1401
+ "rewards/chosen": -88.7941665649414,
1402
+ "rewards/margins": 50.259727478027344,
1403
+ "rewards/rejected": -139.0539093017578,
1404
+ "step": 920
1405
+ },
1406
+ {
1407
+ "epoch": 0.7299843014128728,
1408
+ "grad_norm": 15.702994402687256,
1409
+ "learning_rate": 6.189875948420276e-08,
1410
+ "logits/chosen": 5172.5234375,
1411
+ "logits/rejected": 3729.58544921875,
1412
+ "logps/chosen": -328.5713806152344,
1413
+ "logps/rejected": -337.1180114746094,
1414
+ "loss": 1.324,
1415
+ "rewards/accuracies": 0.783333420753479,
1416
+ "rewards/chosen": -92.56468200683594,
1417
+ "rewards/margins": 58.63731002807617,
1418
+ "rewards/rejected": -151.20199584960938,
1419
+ "step": 930
1420
+ },
1421
+ {
1422
+ "epoch": 0.7378335949764521,
1423
+ "grad_norm": 28.79822002326502,
1424
+ "learning_rate": 5.86042497363215e-08,
1425
+ "logits/chosen": 5023.8671875,
1426
+ "logits/rejected": 4205.1982421875,
1427
+ "logps/chosen": -307.396240234375,
1428
+ "logps/rejected": -361.35791015625,
1429
+ "loss": 1.3224,
1430
+ "rewards/accuracies": 0.8083333969116211,
1431
+ "rewards/chosen": -89.06114959716797,
1432
+ "rewards/margins": 67.33191680908203,
1433
+ "rewards/rejected": -156.39306640625,
1434
+ "step": 940
1435
+ },
1436
+ {
1437
+ "epoch": 0.7456828885400314,
1438
+ "grad_norm": 29.49903030029792,
1439
+ "learning_rate": 5.537841983472337e-08,
1440
+ "logits/chosen": 5192.91015625,
1441
+ "logits/rejected": 4614.15087890625,
1442
+ "logps/chosen": -308.1656188964844,
1443
+ "logps/rejected": -341.88336181640625,
1444
+ "loss": 1.3437,
1445
+ "rewards/accuracies": 0.7166666388511658,
1446
+ "rewards/chosen": -90.37879943847656,
1447
+ "rewards/margins": 37.416908264160156,
1448
+ "rewards/rejected": -127.79571533203125,
1449
+ "step": 950
1450
+ },
1451
+ {
1452
+ "epoch": 0.7535321821036107,
1453
+ "grad_norm": 19.260341973231338,
1454
+ "learning_rate": 5.222369384727954e-08,
1455
+ "logits/chosen": 5086.7275390625,
1456
+ "logits/rejected": 4373.75390625,
1457
+ "logps/chosen": -302.8155212402344,
1458
+ "logps/rejected": -341.2423095703125,
1459
+ "loss": 1.3244,
1460
+ "rewards/accuracies": 0.783333420753479,
1461
+ "rewards/chosen": -84.31675720214844,
1462
+ "rewards/margins": 54.4622802734375,
1463
+ "rewards/rejected": -138.77902221679688,
1464
+ "step": 960
1465
+ },
1466
+ {
1467
+ "epoch": 0.7613814756671899,
1468
+ "grad_norm": 21.497254099738637,
1469
+ "learning_rate": 4.914244241042832e-08,
1470
+ "logits/chosen": 5195.4404296875,
1471
+ "logits/rejected": 4174.501953125,
1472
+ "logps/chosen": -328.4187316894531,
1473
+ "logps/rejected": -357.6769714355469,
1474
+ "loss": 1.3155,
1475
+ "rewards/accuracies": 0.7666666507720947,
1476
+ "rewards/chosen": -88.17876434326172,
1477
+ "rewards/margins": 62.826393127441406,
1478
+ "rewards/rejected": -151.00515747070312,
1479
+ "step": 970
1480
+ },
1481
+ {
1482
+ "epoch": 0.7692307692307693,
1483
+ "grad_norm": 14.487995995435664,
1484
+ "learning_rate": 4.613698094774715e-08,
1485
+ "logits/chosen": 4949.87158203125,
1486
+ "logits/rejected": 3807.67724609375,
1487
+ "logps/chosen": -312.44573974609375,
1488
+ "logps/rejected": -349.9386291503906,
1489
+ "loss": 1.3152,
1490
+ "rewards/accuracies": 0.8333333134651184,
1491
+ "rewards/chosen": -83.61039733886719,
1492
+ "rewards/margins": 75.85111236572266,
1493
+ "rewards/rejected": -159.46151733398438,
1494
+ "step": 980
1495
+ },
1496
+ {
1497
+ "epoch": 0.7770800627943485,
1498
+ "grad_norm": 19.108590316137075,
1499
+ "learning_rate": 4.3209567930014746e-08,
1500
+ "logits/chosen": 5185.36865234375,
1501
+ "logits/rejected": 4195.95068359375,
1502
+ "logps/chosen": -315.67938232421875,
1503
+ "logps/rejected": -348.85284423828125,
1504
+ "loss": 1.3174,
1505
+ "rewards/accuracies": 0.7500000596046448,
1506
+ "rewards/chosen": -89.78607177734375,
1507
+ "rewards/margins": 64.9991683959961,
1508
+ "rewards/rejected": -154.7852325439453,
1509
+ "step": 990
1510
+ },
1511
+ {
1512
+ "epoch": 0.7849293563579278,
1513
+ "grad_norm": 22.072531979816144,
1514
+ "learning_rate": 4.036240317807059e-08,
1515
+ "logits/chosen": 4905.2353515625,
1516
+ "logits/rejected": 3987.02978515625,
1517
+ "logps/chosen": -303.3591003417969,
1518
+ "logps/rejected": -321.552978515625,
1519
+ "loss": 1.3349,
1520
+ "rewards/accuracies": 0.75,
1521
+ "rewards/chosen": -89.55894470214844,
1522
+ "rewards/margins": 51.63554000854492,
1523
+ "rewards/rejected": -141.1945037841797,
1524
+ "step": 1000
1525
+ },
1526
+ {
1527
+ "epoch": 0.792778649921507,
1528
+ "grad_norm": 21.75070665962702,
1529
+ "learning_rate": 3.759762620974716e-08,
1530
+ "logits/chosen": 5060.6669921875,
1531
+ "logits/rejected": 4109.7626953125,
1532
+ "logps/chosen": -304.08740234375,
1533
+ "logps/rejected": -337.9571838378906,
1534
+ "loss": 1.334,
1535
+ "rewards/accuracies": 0.7083333134651184,
1536
+ "rewards/chosen": -89.3779296875,
1537
+ "rewards/margins": 57.18464279174805,
1538
+ "rewards/rejected": -146.56259155273438,
1539
+ "step": 1010
1540
+ },
1541
+ {
1542
+ "epoch": 0.8006279434850864,
1543
+ "grad_norm": 17.10653047682008,
1544
+ "learning_rate": 3.4917314632117423e-08,
1545
+ "logits/chosen": 5245.35009765625,
1546
+ "logits/rejected": 4436.5830078125,
1547
+ "logps/chosen": -326.85821533203125,
1548
+ "logps/rejected": -367.40740966796875,
1549
+ "loss": 1.3302,
1550
+ "rewards/accuracies": 0.8333333730697632,
1551
+ "rewards/chosen": -78.67982482910156,
1552
+ "rewards/margins": 62.575775146484375,
1553
+ "rewards/rejected": -141.25559997558594,
1554
+ "step": 1020
1555
+ },
1556
+ {
1557
+ "epoch": 0.8084772370486656,
1558
+ "grad_norm": 16.25681330236911,
1559
+ "learning_rate": 3.232348258026552e-08,
1560
+ "logits/chosen": 5550.1083984375,
1561
+ "logits/rejected": 5013.5693359375,
1562
+ "logps/chosen": -318.5128479003906,
1563
+ "logps/rejected": -371.39556884765625,
1564
+ "loss": 1.329,
1565
+ "rewards/accuracies": 0.7750000357627869,
1566
+ "rewards/chosen": -87.0693130493164,
1567
+ "rewards/margins": 51.2072868347168,
1568
+ "rewards/rejected": -138.276611328125,
1569
+ "step": 1030
1570
+ },
1571
+ {
1572
+ "epoch": 0.8163265306122449,
1573
+ "grad_norm": 15.78931624178539,
1574
+ "learning_rate": 2.9818079203753654e-08,
1575
+ "logits/chosen": 4891.5419921875,
1576
+ "logits/rejected": 4282.7998046875,
1577
+ "logps/chosen": -314.73773193359375,
1578
+ "logps/rejected": -368.1146240234375,
1579
+ "loss": 1.3238,
1580
+ "rewards/accuracies": 0.7250000834465027,
1581
+ "rewards/chosen": -94.64768981933594,
1582
+ "rewards/margins": 64.27806854248047,
1583
+ "rewards/rejected": -158.92575073242188,
1584
+ "step": 1040
1585
+ },
1586
+ {
1587
+ "epoch": 0.8241758241758241,
1588
+ "grad_norm": 16.54458435339151,
1589
+ "learning_rate": 2.740298720192245e-08,
1590
+ "logits/chosen": 4927.3154296875,
1591
+ "logits/rejected": 4254.25341796875,
1592
+ "logps/chosen": -328.06463623046875,
1593
+ "logps/rejected": -370.9690856933594,
1594
+ "loss": 1.3151,
1595
+ "rewards/accuracies": 0.8083332777023315,
1596
+ "rewards/chosen": -90.51560974121094,
1597
+ "rewards/margins": 64.61587524414062,
1598
+ "rewards/rejected": -155.13148498535156,
1599
+ "step": 1050
1600
+ },
1601
+ {
1602
+ "epoch": 0.8320251177394035,
1603
+ "grad_norm": 26.179961673866252,
1604
+ "learning_rate": 2.5080021409126655e-08,
1605
+ "logits/chosen": 6100.56396484375,
1606
+ "logits/rejected": 4631.39599609375,
1607
+ "logps/chosen": -352.55450439453125,
1608
+ "logps/rejected": -360.7041015625,
1609
+ "loss": 1.3358,
1610
+ "rewards/accuracies": 0.7333332896232605,
1611
+ "rewards/chosen": -91.52915954589844,
1612
+ "rewards/margins": 49.11104202270508,
1613
+ "rewards/rejected": -140.6402130126953,
1614
+ "step": 1060
1615
+ },
1616
+ {
1617
+ "epoch": 0.8398744113029827,
1618
+ "grad_norm": 17.503149002663815,
1619
+ "learning_rate": 2.2850927430967287e-08,
1620
+ "logits/chosen": 5088.08935546875,
1621
+ "logits/rejected": 4477.36572265625,
1622
+ "logps/chosen": -312.17938232421875,
1623
+ "logps/rejected": -340.80975341796875,
1624
+ "loss": 1.3326,
1625
+ "rewards/accuracies": 0.73333340883255,
1626
+ "rewards/chosen": -86.90293884277344,
1627
+ "rewards/margins": 60.76922607421875,
1628
+ "rewards/rejected": -147.67214965820312,
1629
+ "step": 1070
1630
+ },
1631
+ {
1632
+ "epoch": 0.847723704866562,
1633
+ "grad_norm": 16.608334704247707,
1634
+ "learning_rate": 2.0717380332546768e-08,
1635
+ "logits/chosen": 5636.8876953125,
1636
+ "logits/rejected": 4137.8525390625,
1637
+ "logps/chosen": -351.24298095703125,
1638
+ "logps/rejected": -354.1505126953125,
1639
+ "loss": 1.3203,
1640
+ "rewards/accuracies": 0.8333333730697632,
1641
+ "rewards/chosen": -84.64915466308594,
1642
+ "rewards/margins": 68.51604461669922,
1643
+ "rewards/rejected": -153.1652069091797,
1644
+ "step": 1080
1645
+ },
1646
+ {
1647
+ "epoch": 0.8555729984301413,
1648
+ "grad_norm": 16.306285487869843,
1649
+ "learning_rate": 1.8680983379731618e-08,
1650
+ "logits/chosen": 5661.28173828125,
1651
+ "logits/rejected": 4081.420654296875,
1652
+ "logps/chosen": -317.64776611328125,
1653
+ "logps/rejected": -356.91375732421875,
1654
+ "loss": 1.3259,
1655
+ "rewards/accuracies": 0.7666666507720947,
1656
+ "rewards/chosen": -90.13359069824219,
1657
+ "rewards/margins": 53.870460510253906,
1658
+ "rewards/rejected": -144.0040283203125,
1659
+ "step": 1090
1660
+ },
1661
+ {
1662
+ "epoch": 0.8634222919937206,
1663
+ "grad_norm": 17.07320149919412,
1664
+ "learning_rate": 1.6743266834369856e-08,
1665
+ "logits/chosen": 5442.111328125,
1666
+ "logits/rejected": 4267.1455078125,
1667
+ "logps/chosen": -330.0649108886719,
1668
+ "logps/rejected": -343.8323669433594,
1669
+ "loss": 1.3308,
1670
+ "rewards/accuracies": 0.7416666746139526,
1671
+ "rewards/chosen": -91.5087661743164,
1672
+ "rewards/margins": 62.82781982421875,
1673
+ "rewards/rejected": -154.3365936279297,
1674
+ "step": 1100
1675
+ },
1676
+ {
1677
+ "epoch": 0.8712715855572999,
1678
+ "grad_norm": 13.747396863762589,
1679
+ "learning_rate": 1.4905686804366853e-08,
1680
+ "logits/chosen": 5771.70458984375,
1681
+ "logits/rejected": 4442.76708984375,
1682
+ "logps/chosen": -355.2906799316406,
1683
+ "logps/rejected": -374.15447998046875,
1684
+ "loss": 1.3248,
1685
+ "rewards/accuracies": 0.800000011920929,
1686
+ "rewards/chosen": -90.69126892089844,
1687
+ "rewards/margins": 61.19647216796875,
1688
+ "rewards/rejected": -151.8877410888672,
1689
+ "step": 1110
1690
+ },
1691
+ {
1692
+ "epoch": 0.8791208791208791,
1693
+ "grad_norm": 27.204997822783117,
1694
+ "learning_rate": 1.3169624149485037e-08,
1695
+ "logits/chosen": 5658.005859375,
1696
+ "logits/rejected": 4368.58642578125,
1697
+ "logps/chosen": -337.535888671875,
1698
+ "logps/rejected": -371.7395324707031,
1699
+ "loss": 1.3197,
1700
+ "rewards/accuracies": 0.7500000596046448,
1701
+ "rewards/chosen": -92.40483093261719,
1702
+ "rewards/margins": 62.56023025512695,
1703
+ "rewards/rejected": -154.96505737304688,
1704
+ "step": 1120
1705
+ },
1706
+ {
1707
+ "epoch": 0.8869701726844584,
1708
+ "grad_norm": 20.723713223509073,
1709
+ "learning_rate": 1.1536383443688968e-08,
1710
+ "logits/chosen": 5141.8701171875,
1711
+ "logits/rejected": 3853.640625,
1712
+ "logps/chosen": -318.36944580078125,
1713
+ "logps/rejected": -326.81610107421875,
1714
+ "loss": 1.3163,
1715
+ "rewards/accuracies": 0.7916666865348816,
1716
+ "rewards/chosen": -83.58235168457031,
1717
+ "rewards/margins": 63.00525665283203,
1718
+ "rewards/rejected": -146.58761596679688,
1719
+ "step": 1130
1720
+ },
1721
+ {
1722
+ "epoch": 0.8948194662480377,
1723
+ "grad_norm": 15.383586929186926,
1724
+ "learning_rate": 1.0007191994816272e-08,
1725
+ "logits/chosen": 5663.7626953125,
1726
+ "logits/rejected": 4409.96728515625,
1727
+ "logps/chosen": -343.25408935546875,
1728
+ "logps/rejected": -359.54864501953125,
1729
+ "loss": 1.3158,
1730
+ "rewards/accuracies": 0.7166666388511658,
1731
+ "rewards/chosen": -85.61146545410156,
1732
+ "rewards/margins": 53.071754455566406,
1733
+ "rewards/rejected": -138.68319702148438,
1734
+ "step": 1140
1735
+ },
1736
+ {
1737
+ "epoch": 0.902668759811617,
1738
+ "grad_norm": 15.9052219677393,
1739
+ "learning_rate": 8.583198922310031e-09,
1740
+ "logits/chosen": 4978.74658203125,
1741
+ "logits/rejected": 4447.34521484375,
1742
+ "logps/chosen": -312.7223815917969,
1743
+ "logps/rejected": -353.9768981933594,
1744
+ "loss": 1.3155,
1745
+ "rewards/accuracies": 0.6916667222976685,
1746
+ "rewards/chosen": -85.73565673828125,
1747
+ "rewards/margins": 48.706329345703125,
1748
+ "rewards/rejected": -134.44198608398438,
1749
+ "step": 1150
1750
+ },
1751
+ {
1752
+ "epoch": 0.9105180533751962,
1753
+ "grad_norm": 19.701859698836042,
1754
+ "learning_rate": 7.2654742937067916e-09,
1755
+ "logits/chosen": 5107.5390625,
1756
+ "logits/rejected": 3909.550048828125,
1757
+ "logps/chosen": -320.367431640625,
1758
+ "logps/rejected": -338.51812744140625,
1759
+ "loss": 1.3246,
1760
+ "rewards/accuracies": 0.7749999761581421,
1761
+ "rewards/chosen": -91.79454803466797,
1762
+ "rewards/margins": 50.79388427734375,
1763
+ "rewards/rejected": -142.5884246826172,
1764
+ "step": 1160
1765
+ },
1766
+ {
1767
+ "epoch": 0.9183673469387755,
1768
+ "grad_norm": 32.20474236778808,
1769
+ "learning_rate": 6.0550083205280325e-09,
1770
+ "logits/chosen": 5575.20849609375,
1771
+ "logits/rejected": 5152.0107421875,
1772
+ "logps/chosen": -332.0797424316406,
1773
+ "logps/rejected": -392.1387023925781,
1774
+ "loss": 1.3201,
1775
+ "rewards/accuracies": 0.73333340883255,
1776
+ "rewards/chosen": -89.12452697753906,
1777
+ "rewards/margins": 56.22435760498047,
1778
+ "rewards/rejected": -145.34889221191406,
1779
+ "step": 1170
1780
+ },
1781
+ {
1782
+ "epoch": 0.9262166405023547,
1783
+ "grad_norm": 19.875692057488717,
1784
+ "learning_rate": 4.952710614180567e-09,
1785
+ "logits/chosen": 4974.9326171875,
1786
+ "logits/rejected": 4310.21337890625,
1787
+ "logps/chosen": -328.6920166015625,
1788
+ "logps/rejected": -362.4015197753906,
1789
+ "loss": 1.3248,
1790
+ "rewards/accuracies": 0.7833333611488342,
1791
+ "rewards/chosen": -88.78321075439453,
1792
+ "rewards/margins": 56.8275032043457,
1793
+ "rewards/rejected": -145.61070251464844,
1794
+ "step": 1180
1795
+ },
1796
+ {
1797
+ "epoch": 0.9340659340659341,
1798
+ "grad_norm": 18.2157711653637,
1799
+ "learning_rate": 3.959409502423744e-09,
1800
+ "logits/chosen": 5420.66015625,
1801
+ "logits/rejected": 4498.2080078125,
1802
+ "logps/chosen": -345.4786071777344,
1803
+ "logps/rejected": -369.42694091796875,
1804
+ "loss": 1.3206,
1805
+ "rewards/accuracies": 0.7250000238418579,
1806
+ "rewards/chosen": -96.6148452758789,
1807
+ "rewards/margins": 55.66218185424805,
1808
+ "rewards/rejected": -152.2770233154297,
1809
+ "step": 1190
1810
+ },
1811
+ {
1812
+ "epoch": 0.9419152276295133,
1813
+ "grad_norm": 19.275111817920287,
1814
+ "learning_rate": 3.075851406917995e-09,
1815
+ "logits/chosen": 5607.0615234375,
1816
+ "logits/rejected": 4485.181640625,
1817
+ "logps/chosen": -340.6480407714844,
1818
+ "logps/rejected": -372.07196044921875,
1819
+ "loss": 1.3207,
1820
+ "rewards/accuracies": 0.824999988079071,
1821
+ "rewards/chosen": -85.0034408569336,
1822
+ "rewards/margins": 68.38439178466797,
1823
+ "rewards/rejected": -153.38784790039062,
1824
+ "step": 1200
1825
+ },
1826
+ {
1827
+ "epoch": 0.9497645211930926,
1828
+ "grad_norm": 47.451083320046365,
1829
+ "learning_rate": 2.3027002823221064e-09,
1830
+ "logits/chosen": 5242.3955078125,
1831
+ "logits/rejected": 4309.052734375,
1832
+ "logps/chosen": -328.3695983886719,
1833
+ "logps/rejected": -372.03692626953125,
1834
+ "loss": 1.3288,
1835
+ "rewards/accuracies": 0.7250000238418579,
1836
+ "rewards/chosen": -88.16230773925781,
1837
+ "rewards/margins": 65.71019744873047,
1838
+ "rewards/rejected": -153.87249755859375,
1839
+ "step": 1210
1840
+ },
1841
+ {
1842
+ "epoch": 0.957613814756672,
1843
+ "grad_norm": 17.39982846549713,
1844
+ "learning_rate": 1.6405371173608073e-09,
1845
+ "logits/chosen": 6537.92041015625,
1846
+ "logits/rejected": 4597.3408203125,
1847
+ "logps/chosen": -389.57415771484375,
1848
+ "logps/rejected": -396.27960205078125,
1849
+ "loss": 1.3285,
1850
+ "rewards/accuracies": 0.7500000596046448,
1851
+ "rewards/chosen": -92.74442291259766,
1852
+ "rewards/margins": 58.356590270996094,
1853
+ "rewards/rejected": -151.10101318359375,
1854
+ "step": 1220
1855
+ },
1856
+ {
1857
+ "epoch": 0.9654631083202512,
1858
+ "grad_norm": 17.667026886080837,
1859
+ "learning_rate": 1.0898594982375387e-09,
1860
+ "logits/chosen": 5799.66064453125,
1861
+ "logits/rejected": 4413.10302734375,
1862
+ "logps/chosen": -349.25537109375,
1863
+ "logps/rejected": -362.83990478515625,
1864
+ "loss": 1.3307,
1865
+ "rewards/accuracies": 0.7416666746139526,
1866
+ "rewards/chosen": -88.6881332397461,
1867
+ "rewards/margins": 61.15995407104492,
1868
+ "rewards/rejected": -149.8480987548828,
1869
+ "step": 1230
1870
+ },
1871
+ {
1872
+ "epoch": 0.9733124018838305,
1873
+ "grad_norm": 13.882974741420169,
1874
+ "learning_rate": 6.510812347205185e-10,
1875
+ "logits/chosen": 4966.72021484375,
1876
+ "logits/rejected": 4371.02392578125,
1877
+ "logps/chosen": -324.99078369140625,
1878
+ "logps/rejected": -384.681640625,
1879
+ "loss": 1.324,
1880
+ "rewards/accuracies": 0.7083333134651184,
1881
+ "rewards/chosen": -93.39674377441406,
1882
+ "rewards/margins": 56.08783721923828,
1883
+ "rewards/rejected": -149.48458862304688,
1884
+ "step": 1240
1885
+ },
1886
+ {
1887
+ "epoch": 0.9811616954474097,
1888
+ "grad_norm": 15.154457626536647,
1889
+ "learning_rate": 3.245320491830683e-10,
1890
+ "logits/chosen": 5032.3193359375,
1891
+ "logits/rejected": 4055.299560546875,
1892
+ "logps/chosen": -315.40277099609375,
1893
+ "logps/rejected": -327.2320251464844,
1894
+ "loss": 1.3286,
1895
+ "rewards/accuracies": 0.7333333492279053,
1896
+ "rewards/chosen": -85.07127380371094,
1897
+ "rewards/margins": 52.71143341064453,
1898
+ "rewards/rejected": -137.78269958496094,
1899
+ "step": 1250
1900
+ },
1901
+ {
1902
+ "epoch": 0.989010989010989,
1903
+ "grad_norm": 15.979946674969982,
1904
+ "learning_rate": 1.1045732883197545e-10,
1905
+ "logits/chosen": 4809.5751953125,
1906
+ "logits/rejected": 4305.59765625,
1907
+ "logps/chosen": -319.3553771972656,
1908
+ "logps/rejected": -360.33917236328125,
1909
+ "loss": 1.3166,
1910
+ "rewards/accuracies": 0.7583333253860474,
1911
+ "rewards/chosen": -87.20452117919922,
1912
+ "rewards/margins": 56.80842208862305,
1913
+ "rewards/rejected": -144.01295471191406,
1914
+ "step": 1260
1915
+ },
1916
+ {
1917
+ "epoch": 0.9968602825745683,
1918
+ "grad_norm": 27.24614835648412,
1919
+ "learning_rate": 9.017941309813482e-12,
1920
+ "logits/chosen": 4971.7294921875,
1921
+ "logits/rejected": 3906.59228515625,
1922
+ "logps/chosen": -316.85064697265625,
1923
+ "logps/rejected": -327.2884521484375,
1924
+ "loss": 1.3334,
1925
+ "rewards/accuracies": 0.7666666507720947,
1926
+ "rewards/chosen": -92.36187744140625,
1927
+ "rewards/margins": 48.6181755065918,
1928
+ "rewards/rejected": -140.9800567626953,
1929
+ "step": 1270
1930
+ },
1931
+ {
1932
+ "epoch": 1.0,
1933
+ "step": 1274,
1934
+ "total_flos": 0.0,
1935
+ "train_loss": 1.3597402943172485,
1936
+ "train_runtime": 13015.2109,
1937
+ "train_samples_per_second": 4.697,
1938
+ "train_steps_per_second": 0.098
1939
+ }
1940
+ ],
1941
+ "logging_steps": 10,
1942
+ "max_steps": 1274,
1943
+ "num_input_tokens_seen": 0,
1944
+ "num_train_epochs": 1,
1945
+ "save_steps": 2000,
1946
+ "stateful_callbacks": {
1947
+ "TrainerControl": {
1948
+ "args": {
1949
+ "should_epoch_stop": false,
1950
+ "should_evaluate": false,
1951
+ "should_log": false,
1952
+ "should_save": false,
1953
+ "should_training_stop": false
1954
+ },
1955
+ "attributes": {}
1956
+ }
1957
+ },
1958
+ "total_flos": 0.0,
1959
+ "train_batch_size": 6,
1960
+ "trial_name": null,
1961
+ "trial_params": null
1962
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:23cd54382a95e62b6f6d2670b02097cce5cbf8b61f0f8f1de6362723915934f0
3
+ size 7352