Teng Xiao commited on
Commit
eaa81cf
1 Parent(s): 7ade2bd
README.md ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: alignment-handbook/zephyr-7b-sft-full
4
+ tags:
5
+ - alignment_handbook-handbook
6
+ - generated_from_trainer
7
+ datasets:
8
+ - HuggingFaceH4/ultrafeedback_binarized
9
+ model-index:
10
+ - name: zephyr-7b-Cal-DPO-SELM
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # zephyr-7b-Cal-DPO-SELM
18
+
19
+ This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the HuggingFaceH4/ultrafeedback_binarized dataset.
20
+
21
+ ## Model description
22
+
23
+ More information needed
24
+
25
+ ## Intended uses & limitations
26
+
27
+ More information needed
28
+
29
+ ## Training and evaluation data
30
+
31
+ More information needed
32
+
33
+ ## Training procedure
34
+
35
+ ### Training hyperparameters
36
+
37
+ The following hyperparameters were used during training:
38
+ - learning_rate: 5e-07
39
+ - train_batch_size: 2
40
+ - eval_batch_size: 4
41
+ - seed: 42
42
+ - distributed_type: multi-GPU
43
+ - num_devices: 4
44
+ - gradient_accumulation_steps: 16
45
+ - total_train_batch_size: 128
46
+ - total_eval_batch_size: 16
47
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
+ - lr_scheduler_type: cosine
49
+ - lr_scheduler_warmup_ratio: 0.1
50
+ - num_epochs: 1
51
+
52
+ ### Training results
53
+
54
+
55
+
56
+ ### Framework versions
57
+
58
+ - Transformers 4.40.2
59
+ - Pytorch 2.1.2+cu121
60
+ - Datasets 2.14.6
61
+ - Tokenizers 0.19.1
all_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 0.998691442030882,
3
+ "total_flos": 0.0,
4
+ "train_loss": 0.7450811588039438,
5
+ "train_runtime": 7556.1724,
6
+ "train_samples": 61135,
7
+ "train_samples_per_second": 8.091,
8
+ "train_steps_per_second": 0.063
9
+ }
config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "alignment-handbook/zephyr-7b-sft-full",
3
+ "architectures": [
4
+ "MistralForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 1,
8
+ "eos_token_id": 2,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 4096,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 14336,
13
+ "max_position_embeddings": 32768,
14
+ "model_type": "mistral",
15
+ "num_attention_heads": 32,
16
+ "num_hidden_layers": 32,
17
+ "num_key_value_heads": 8,
18
+ "rms_norm_eps": 1e-05,
19
+ "rope_theta": 10000.0,
20
+ "sliding_window": 4096,
21
+ "tie_word_embeddings": false,
22
+ "torch_dtype": "bfloat16",
23
+ "transformers_version": "4.40.2",
24
+ "use_cache": true,
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": "4.40.2"
6
+ }
model-00001-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5a72e6c1252b9061fbead4c70de8a66e4b1bb90faf0722a6985cf00d46386227
3
+ size 4943162336
model-00002-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:66951c7c0b475dfd8670484c8d419bec2b272890132d10ce51969f93b8edd02f
3
+ size 4999819336
model-00003-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2efeed781a48ecb9b73c512ebe36a3a45c63f63e19fa3f2752b7db947e190129
3
+ size 4540516344
model.safetensors.index.json ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 14483464192
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00003-of-00003.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00003.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
13
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
14
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
15
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
16
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
17
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
18
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
19
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
20
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
21
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
22
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
23
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
24
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
25
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
26
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00003.safetensors",
27
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
28
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
29
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
30
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
31
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
32
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
33
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
34
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
35
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
36
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
37
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
38
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
39
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
40
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
41
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
42
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
43
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
44
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
45
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
46
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
47
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
48
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
49
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
50
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
51
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
52
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
53
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
54
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
55
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
56
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
57
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
58
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
59
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
60
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
61
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
62
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
63
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
64
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
65
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
66
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
67
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
68
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
69
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
70
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
71
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
72
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
73
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
74
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
75
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
76
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
77
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
78
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
79
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
80
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
81
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
82
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
83
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
84
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
85
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
86
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
87
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
88
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
89
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
90
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
91
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
92
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
93
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
94
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
95
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
96
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
97
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
98
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
99
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
100
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
101
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
102
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
103
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
104
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
105
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
106
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
107
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors",
108
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
109
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
110
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
111
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
112
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
113
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
114
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
115
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
116
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
117
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
118
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
119
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
120
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
121
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
122
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
123
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
124
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
125
+ "model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors",
126
+ "model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
127
+ "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
128
+ "model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
129
+ "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
130
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
131
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
132
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
133
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
134
+ "model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors",
135
+ "model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
136
+ "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
137
+ "model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
138
+ "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
139
+ "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
140
+ "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
141
+ "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
142
+ "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
143
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00003.safetensors",
144
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
145
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
146
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
147
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
148
+ "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
149
+ "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
150
+ "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
151
+ "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
152
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
153
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
154
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
155
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
156
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
157
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
158
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
159
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
160
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
161
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
162
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
163
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
164
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
165
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
166
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
167
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
168
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
169
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
170
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
171
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
172
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
173
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
174
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
175
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
176
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
177
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
178
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
179
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
180
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
181
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
182
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
183
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
184
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
185
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
186
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
187
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
188
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
189
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
190
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
191
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
192
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
193
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
194
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
195
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
196
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
197
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors",
198
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
199
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
200
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
201
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
202
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
203
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
204
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
205
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
206
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors",
207
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
208
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
209
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
210
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
211
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
212
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
213
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
214
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
215
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
216
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
217
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
218
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
219
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
220
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
221
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
222
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
223
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
224
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00003.safetensors",
225
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
226
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
227
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
228
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
229
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
230
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
231
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
232
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
233
+ "model.layers.31.input_layernorm.weight": "model-00003-of-00003.safetensors",
234
+ "model.layers.31.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
235
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
236
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
237
+ "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
238
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
239
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
240
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
241
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
242
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
243
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
244
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
245
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
246
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
247
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
248
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
249
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
250
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
251
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
252
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
253
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
254
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
255
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
256
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
257
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
258
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
259
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
260
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
261
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
262
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
263
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
264
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
265
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
266
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
267
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
268
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
269
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
270
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
271
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
272
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
273
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
274
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
275
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
276
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
277
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
278
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
279
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
280
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
281
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
282
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
283
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
284
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
285
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
286
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
287
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
288
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
289
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
290
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
291
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
292
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
293
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
294
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
295
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
296
+ "model.norm.weight": "model-00003-of-00003.safetensors"
297
+ }
298
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "</s>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<unk>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<s>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "</s>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ }
29
+ },
30
+ "additional_special_tokens": [],
31
+ "bos_token": "<s>",
32
+ "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
33
+ "clean_up_tokenization_spaces": false,
34
+ "eos_token": "</s>",
35
+ "legacy": true,
36
+ "model_max_length": 2048,
37
+ "pad_token": "</s>",
38
+ "sp_model_kwargs": {},
39
+ "spaces_between_special_tokens": false,
40
+ "tokenizer_class": "LlamaTokenizer",
41
+ "unk_token": "<unk>",
42
+ "use_default_system_prompt": false
43
+ }
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 0.998691442030882,
3
+ "total_flos": 0.0,
4
+ "train_loss": 0.7450811588039438,
5
+ "train_runtime": 7556.1724,
6
+ "train_samples": 61135,
7
+ "train_samples_per_second": 8.091,
8
+ "train_steps_per_second": 0.063
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,1455 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.998691442030882,
5
+ "eval_steps": 500,
6
+ "global_step": 477,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.010468463752944255,
13
+ "grad_norm": 11.38107582220126,
14
+ "learning_rate": 5.208333333333333e-08,
15
+ "logits/chosen": -2.770763397216797,
16
+ "logits/rejected": -2.728346824645996,
17
+ "logps/chosen": -1.0277923345565796,
18
+ "logps/rejected": -1.1729481220245361,
19
+ "loss": 0.8182,
20
+ "rewards/accuracies": 0.581250011920929,
21
+ "rewards/chosen": -1.0277923345565796,
22
+ "rewards/margins": 0.145155668258667,
23
+ "rewards/rejected": -1.1729481220245361,
24
+ "step": 5
25
+ },
26
+ {
27
+ "epoch": 0.02093692750588851,
28
+ "grad_norm": 10.468333488013238,
29
+ "learning_rate": 1.0416666666666667e-07,
30
+ "logits/chosen": -2.7509100437164307,
31
+ "logits/rejected": -2.72518253326416,
32
+ "logps/chosen": -0.995405375957489,
33
+ "logps/rejected": -1.071641206741333,
34
+ "loss": 0.8182,
35
+ "rewards/accuracies": 0.5,
36
+ "rewards/chosen": -0.995405375957489,
37
+ "rewards/margins": 0.07623584568500519,
38
+ "rewards/rejected": -1.071641206741333,
39
+ "step": 10
40
+ },
41
+ {
42
+ "epoch": 0.031405391258832765,
43
+ "grad_norm": 10.493977523397158,
44
+ "learning_rate": 1.5624999999999999e-07,
45
+ "logits/chosen": -2.7306554317474365,
46
+ "logits/rejected": -2.697004795074463,
47
+ "logps/chosen": -0.9894905090332031,
48
+ "logps/rejected": -1.1477015018463135,
49
+ "loss": 0.8176,
50
+ "rewards/accuracies": 0.643750011920929,
51
+ "rewards/chosen": -0.9894905090332031,
52
+ "rewards/margins": 0.1582109034061432,
53
+ "rewards/rejected": -1.1477015018463135,
54
+ "step": 15
55
+ },
56
+ {
57
+ "epoch": 0.04187385501177702,
58
+ "grad_norm": 9.724221169965997,
59
+ "learning_rate": 2.0833333333333333e-07,
60
+ "logits/chosen": -2.803373336791992,
61
+ "logits/rejected": -2.709907293319702,
62
+ "logps/chosen": -1.023125410079956,
63
+ "logps/rejected": -1.1238459348678589,
64
+ "loss": 0.8147,
65
+ "rewards/accuracies": 0.550000011920929,
66
+ "rewards/chosen": -1.023125410079956,
67
+ "rewards/margins": 0.10072048753499985,
68
+ "rewards/rejected": -1.1238459348678589,
69
+ "step": 20
70
+ },
71
+ {
72
+ "epoch": 0.05234231876472128,
73
+ "grad_norm": 10.045674241744983,
74
+ "learning_rate": 2.604166666666667e-07,
75
+ "logits/chosen": -2.799170970916748,
76
+ "logits/rejected": -2.775965929031372,
77
+ "logps/chosen": -1.030667781829834,
78
+ "logps/rejected": -1.0879056453704834,
79
+ "loss": 0.8112,
80
+ "rewards/accuracies": 0.512499988079071,
81
+ "rewards/chosen": -1.030667781829834,
82
+ "rewards/margins": 0.05723772197961807,
83
+ "rewards/rejected": -1.0879056453704834,
84
+ "step": 25
85
+ },
86
+ {
87
+ "epoch": 0.06281078251766553,
88
+ "grad_norm": 10.423264900774234,
89
+ "learning_rate": 3.1249999999999997e-07,
90
+ "logits/chosen": -2.7731029987335205,
91
+ "logits/rejected": -2.7313244342803955,
92
+ "logps/chosen": -0.9983895421028137,
93
+ "logps/rejected": -1.1039111614227295,
94
+ "loss": 0.8086,
95
+ "rewards/accuracies": 0.5375000238418579,
96
+ "rewards/chosen": -0.9983895421028137,
97
+ "rewards/margins": 0.10552169382572174,
98
+ "rewards/rejected": -1.1039111614227295,
99
+ "step": 30
100
+ },
101
+ {
102
+ "epoch": 0.07327924627060979,
103
+ "grad_norm": 10.239422638364212,
104
+ "learning_rate": 3.645833333333333e-07,
105
+ "logits/chosen": -2.777191162109375,
106
+ "logits/rejected": -2.6907501220703125,
107
+ "logps/chosen": -1.053971290588379,
108
+ "logps/rejected": -1.1872998476028442,
109
+ "loss": 0.7974,
110
+ "rewards/accuracies": 0.5874999761581421,
111
+ "rewards/chosen": -1.053971290588379,
112
+ "rewards/margins": 0.13332852721214294,
113
+ "rewards/rejected": -1.1872998476028442,
114
+ "step": 35
115
+ },
116
+ {
117
+ "epoch": 0.08374771002355404,
118
+ "grad_norm": 10.873743845098522,
119
+ "learning_rate": 4.1666666666666667e-07,
120
+ "logits/chosen": -2.797991991043091,
121
+ "logits/rejected": -2.7014565467834473,
122
+ "logps/chosen": -0.9985781908035278,
123
+ "logps/rejected": -1.2822500467300415,
124
+ "loss": 0.7923,
125
+ "rewards/accuracies": 0.675000011920929,
126
+ "rewards/chosen": -0.9985781908035278,
127
+ "rewards/margins": 0.28367188572883606,
128
+ "rewards/rejected": -1.2822500467300415,
129
+ "step": 40
130
+ },
131
+ {
132
+ "epoch": 0.0942161737764983,
133
+ "grad_norm": 9.5351641443286,
134
+ "learning_rate": 4.6874999999999996e-07,
135
+ "logits/chosen": -2.8105621337890625,
136
+ "logits/rejected": -2.7648262977600098,
137
+ "logps/chosen": -0.9561222195625305,
138
+ "logps/rejected": -1.1234276294708252,
139
+ "loss": 0.7892,
140
+ "rewards/accuracies": 0.550000011920929,
141
+ "rewards/chosen": -0.9561222195625305,
142
+ "rewards/margins": 0.1673053801059723,
143
+ "rewards/rejected": -1.1234276294708252,
144
+ "step": 45
145
+ },
146
+ {
147
+ "epoch": 0.10468463752944256,
148
+ "grad_norm": 15.905860590814207,
149
+ "learning_rate": 4.999731868769026e-07,
150
+ "logits/chosen": -2.7718915939331055,
151
+ "logits/rejected": -2.704052686691284,
152
+ "logps/chosen": -1.0114643573760986,
153
+ "logps/rejected": -1.2787563800811768,
154
+ "loss": 0.7887,
155
+ "rewards/accuracies": 0.5874999761581421,
156
+ "rewards/chosen": -1.0114643573760986,
157
+ "rewards/margins": 0.26729193329811096,
158
+ "rewards/rejected": -1.2787563800811768,
159
+ "step": 50
160
+ },
161
+ {
162
+ "epoch": 0.11515310128238682,
163
+ "grad_norm": 10.647312199476977,
164
+ "learning_rate": 4.996716052911017e-07,
165
+ "logits/chosen": -2.7726762294769287,
166
+ "logits/rejected": -2.7395455837249756,
167
+ "logps/chosen": -0.9699283838272095,
168
+ "logps/rejected": -1.193861484527588,
169
+ "loss": 0.7891,
170
+ "rewards/accuracies": 0.5249999761581421,
171
+ "rewards/chosen": -0.9699283838272095,
172
+ "rewards/margins": 0.2239331752061844,
173
+ "rewards/rejected": -1.193861484527588,
174
+ "step": 55
175
+ },
176
+ {
177
+ "epoch": 0.12562156503533106,
178
+ "grad_norm": 10.393691121493097,
179
+ "learning_rate": 4.990353313429303e-07,
180
+ "logits/chosen": -2.8305859565734863,
181
+ "logits/rejected": -2.7853503227233887,
182
+ "logps/chosen": -0.9936162233352661,
183
+ "logps/rejected": -1.1538995504379272,
184
+ "loss": 0.7809,
185
+ "rewards/accuracies": 0.6000000238418579,
186
+ "rewards/chosen": -0.9936162233352661,
187
+ "rewards/margins": 0.16028328239917755,
188
+ "rewards/rejected": -1.1538995504379272,
189
+ "step": 60
190
+ },
191
+ {
192
+ "epoch": 0.1360900287882753,
193
+ "grad_norm": 10.006212720391833,
194
+ "learning_rate": 4.980652179769217e-07,
195
+ "logits/chosen": -2.821927309036255,
196
+ "logits/rejected": -2.7109711170196533,
197
+ "logps/chosen": -1.0194857120513916,
198
+ "logps/rejected": -1.4160047769546509,
199
+ "loss": 0.7711,
200
+ "rewards/accuracies": 0.6937500238418579,
201
+ "rewards/chosen": -1.0194857120513916,
202
+ "rewards/margins": 0.3965190351009369,
203
+ "rewards/rejected": -1.4160047769546509,
204
+ "step": 65
205
+ },
206
+ {
207
+ "epoch": 0.14655849254121958,
208
+ "grad_norm": 12.427363846728545,
209
+ "learning_rate": 4.967625656594781e-07,
210
+ "logits/chosen": -2.7151401042938232,
211
+ "logits/rejected": -2.6647896766662598,
212
+ "logps/chosen": -1.061846375465393,
213
+ "logps/rejected": -1.2517098188400269,
214
+ "loss": 0.7746,
215
+ "rewards/accuracies": 0.5687500238418579,
216
+ "rewards/chosen": -1.061846375465393,
217
+ "rewards/margins": 0.18986348807811737,
218
+ "rewards/rejected": -1.2517098188400269,
219
+ "step": 70
220
+ },
221
+ {
222
+ "epoch": 0.15702695629416383,
223
+ "grad_norm": 15.040518143943558,
224
+ "learning_rate": 4.951291206355559e-07,
225
+ "logits/chosen": -2.7983217239379883,
226
+ "logits/rejected": -2.7329821586608887,
227
+ "logps/chosen": -0.967555820941925,
228
+ "logps/rejected": -1.2309954166412354,
229
+ "loss": 0.7653,
230
+ "rewards/accuracies": 0.637499988079071,
231
+ "rewards/chosen": -0.967555820941925,
232
+ "rewards/margins": 0.2634395658969879,
233
+ "rewards/rejected": -1.2309954166412354,
234
+ "step": 75
235
+ },
236
+ {
237
+ "epoch": 0.16749542004710807,
238
+ "grad_norm": 13.367533047557702,
239
+ "learning_rate": 4.93167072587771e-07,
240
+ "logits/chosen": -2.779024362564087,
241
+ "logits/rejected": -2.7217113971710205,
242
+ "logps/chosen": -1.0280585289001465,
243
+ "logps/rejected": -1.3247190713882446,
244
+ "loss": 0.7769,
245
+ "rewards/accuracies": 0.6187499761581421,
246
+ "rewards/chosen": -1.0280585289001465,
247
+ "rewards/margins": 0.29666048288345337,
248
+ "rewards/rejected": -1.3247190713882446,
249
+ "step": 80
250
+ },
251
+ {
252
+ "epoch": 0.17796388380005235,
253
+ "grad_norm": 12.448866220441356,
254
+ "learning_rate": 4.908790517010636e-07,
255
+ "logits/chosen": -2.792797565460205,
256
+ "logits/rejected": -2.742084503173828,
257
+ "logps/chosen": -0.9986704587936401,
258
+ "logps/rejected": -1.251503586769104,
259
+ "loss": 0.7761,
260
+ "rewards/accuracies": 0.59375,
261
+ "rewards/chosen": -0.9986704587936401,
262
+ "rewards/margins": 0.2528330981731415,
263
+ "rewards/rejected": -1.251503586769104,
264
+ "step": 85
265
+ },
266
+ {
267
+ "epoch": 0.1884323475529966,
268
+ "grad_norm": 10.949313193375856,
269
+ "learning_rate": 4.882681251368548e-07,
270
+ "logits/chosen": -2.753514289855957,
271
+ "logits/rejected": -2.728050470352173,
272
+ "logps/chosen": -1.0043939352035522,
273
+ "logps/rejected": -1.2518372535705566,
274
+ "loss": 0.7618,
275
+ "rewards/accuracies": 0.6625000238418579,
276
+ "rewards/chosen": -1.0043939352035522,
277
+ "rewards/margins": 0.24744322896003723,
278
+ "rewards/rejected": -1.2518372535705566,
279
+ "step": 90
280
+ },
281
+ {
282
+ "epoch": 0.19890081130594087,
283
+ "grad_norm": 13.130451787621045,
284
+ "learning_rate": 4.853377929214243e-07,
285
+ "logits/chosen": -2.811157703399658,
286
+ "logits/rejected": -2.7097816467285156,
287
+ "logps/chosen": -1.0308064222335815,
288
+ "logps/rejected": -1.2379958629608154,
289
+ "loss": 0.7623,
290
+ "rewards/accuracies": 0.574999988079071,
291
+ "rewards/chosen": -1.0308064222335815,
292
+ "rewards/margins": 0.20718936622142792,
293
+ "rewards/rejected": -1.2379958629608154,
294
+ "step": 95
295
+ },
296
+ {
297
+ "epoch": 0.2093692750588851,
298
+ "grad_norm": 13.323653880946075,
299
+ "learning_rate": 4.820919832540181e-07,
300
+ "logits/chosen": -2.7652459144592285,
301
+ "logits/rejected": -2.669363260269165,
302
+ "logps/chosen": -1.0318419933319092,
303
+ "logps/rejected": -1.3162591457366943,
304
+ "loss": 0.7648,
305
+ "rewards/accuracies": 0.5562499761581421,
306
+ "rewards/chosen": -1.0318419933319092,
307
+ "rewards/margins": 0.28441694378852844,
308
+ "rewards/rejected": -1.3162591457366943,
309
+ "step": 100
310
+ },
311
+ {
312
+ "epoch": 0.21983773881182936,
313
+ "grad_norm": 14.04623446067068,
314
+ "learning_rate": 4.785350472409791e-07,
315
+ "logits/chosen": -2.7531397342681885,
316
+ "logits/rejected": -2.7293217182159424,
317
+ "logps/chosen": -0.9516981840133667,
318
+ "logps/rejected": -1.297178864479065,
319
+ "loss": 0.7509,
320
+ "rewards/accuracies": 0.6625000238418579,
321
+ "rewards/chosen": -0.9516981840133667,
322
+ "rewards/margins": 0.34548065066337585,
323
+ "rewards/rejected": -1.297178864479065,
324
+ "step": 105
325
+ },
326
+ {
327
+ "epoch": 0.23030620256477363,
328
+ "grad_norm": 13.599390080064117,
329
+ "learning_rate": 4.7467175306295647e-07,
330
+ "logits/chosen": -2.800642728805542,
331
+ "logits/rejected": -2.7362637519836426,
332
+ "logps/chosen": -1.0258657932281494,
333
+ "logps/rejected": -1.3415501117706299,
334
+ "loss": 0.7602,
335
+ "rewards/accuracies": 0.612500011920929,
336
+ "rewards/chosen": -1.0258657932281494,
337
+ "rewards/margins": 0.31568431854248047,
338
+ "rewards/rejected": -1.3415501117706299,
339
+ "step": 110
340
+ },
341
+ {
342
+ "epoch": 0.24077466631771788,
343
+ "grad_norm": 11.166851777914701,
344
+ "learning_rate": 4.70507279583015e-07,
345
+ "logits/chosen": -2.7502248287200928,
346
+ "logits/rejected": -2.6826751232147217,
347
+ "logps/chosen": -0.9817054867744446,
348
+ "logps/rejected": -1.369450569152832,
349
+ "loss": 0.7574,
350
+ "rewards/accuracies": 0.6812499761581421,
351
+ "rewards/chosen": -0.9817054867744446,
352
+ "rewards/margins": 0.3877450227737427,
353
+ "rewards/rejected": -1.369450569152832,
354
+ "step": 115
355
+ },
356
+ {
357
+ "epoch": 0.2512431300706621,
358
+ "grad_norm": 11.347114772747197,
359
+ "learning_rate": 4.6604720940421207e-07,
360
+ "logits/chosen": -2.761990547180176,
361
+ "logits/rejected": -2.7169580459594727,
362
+ "logps/chosen": -1.0401480197906494,
363
+ "logps/rejected": -1.3125249147415161,
364
+ "loss": 0.7548,
365
+ "rewards/accuracies": 0.606249988079071,
366
+ "rewards/chosen": -1.0401480197906494,
367
+ "rewards/margins": 0.2723769247531891,
368
+ "rewards/rejected": -1.3125249147415161,
369
+ "step": 120
370
+ },
371
+ {
372
+ "epoch": 0.26171159382360637,
373
+ "grad_norm": 11.52046180991134,
374
+ "learning_rate": 4.612975213859487e-07,
375
+ "logits/chosen": -2.806786060333252,
376
+ "logits/rejected": -2.7883572578430176,
377
+ "logps/chosen": -1.0292778015136719,
378
+ "logps/rejected": -1.2358990907669067,
379
+ "loss": 0.7635,
380
+ "rewards/accuracies": 0.59375,
381
+ "rewards/chosen": -1.0292778015136719,
382
+ "rewards/margins": 0.2066211998462677,
383
+ "rewards/rejected": -1.2358990907669067,
384
+ "step": 125
385
+ },
386
+ {
387
+ "epoch": 0.2721800575765506,
388
+ "grad_norm": 13.331336972954334,
389
+ "learning_rate": 4.5626458262912735e-07,
390
+ "logits/chosen": -2.7795305252075195,
391
+ "logits/rejected": -2.7438769340515137,
392
+ "logps/chosen": -0.9998070001602173,
393
+ "logps/rejected": -1.1660974025726318,
394
+ "loss": 0.7593,
395
+ "rewards/accuracies": 0.6000000238418579,
396
+ "rewards/chosen": -0.9998070001602173,
397
+ "rewards/margins": 0.1662905514240265,
398
+ "rewards/rejected": -1.1660974025726318,
399
+ "step": 130
400
+ },
401
+ {
402
+ "epoch": 0.2826485213294949,
403
+ "grad_norm": 17.992436930119467,
404
+ "learning_rate": 4.5095513994085974e-07,
405
+ "logits/chosen": -2.7764856815338135,
406
+ "logits/rejected": -2.6815366744995117,
407
+ "logps/chosen": -1.0169318914413452,
408
+ "logps/rejected": -1.509103775024414,
409
+ "loss": 0.7517,
410
+ "rewards/accuracies": 0.737500011920929,
411
+ "rewards/chosen": -1.0169318914413452,
412
+ "rewards/margins": 0.4921717643737793,
413
+ "rewards/rejected": -1.509103775024414,
414
+ "step": 135
415
+ },
416
+ {
417
+ "epoch": 0.29311698508243916,
418
+ "grad_norm": 12.279405154425808,
419
+ "learning_rate": 4.453763107901675e-07,
420
+ "logits/chosen": -2.7898383140563965,
421
+ "logits/rejected": -2.7315587997436523,
422
+ "logps/chosen": -0.9953171014785767,
423
+ "logps/rejected": -1.354308843612671,
424
+ "loss": 0.7381,
425
+ "rewards/accuracies": 0.668749988079071,
426
+ "rewards/chosen": -0.9953171014785767,
427
+ "rewards/margins": 0.3589917719364166,
428
+ "rewards/rejected": -1.354308843612671,
429
+ "step": 140
430
+ },
431
+ {
432
+ "epoch": 0.3035854488353834,
433
+ "grad_norm": 11.881664766821807,
434
+ "learning_rate": 4.395355737667985e-07,
435
+ "logits/chosen": -2.7770204544067383,
436
+ "logits/rejected": -2.7200214862823486,
437
+ "logps/chosen": -0.9782532453536987,
438
+ "logps/rejected": -1.2849363088607788,
439
+ "loss": 0.757,
440
+ "rewards/accuracies": 0.65625,
441
+ "rewards/chosen": -0.9782532453536987,
442
+ "rewards/margins": 0.30668309330940247,
443
+ "rewards/rejected": -1.2849363088607788,
444
+ "step": 145
445
+ },
446
+ {
447
+ "epoch": 0.31405391258832765,
448
+ "grad_norm": 11.86886950333677,
449
+ "learning_rate": 4.3344075855595097e-07,
450
+ "logits/chosen": -2.8294339179992676,
451
+ "logits/rejected": -2.8064193725585938,
452
+ "logps/chosen": -0.9476372003555298,
453
+ "logps/rejected": -1.2449183464050293,
454
+ "loss": 0.7298,
455
+ "rewards/accuracies": 0.574999988079071,
456
+ "rewards/chosen": -0.9476372003555298,
457
+ "rewards/margins": 0.29728126525878906,
458
+ "rewards/rejected": -1.2449183464050293,
459
+ "step": 150
460
+ },
461
+ {
462
+ "epoch": 0.3245223763412719,
463
+ "grad_norm": 14.182562821077749,
464
+ "learning_rate": 4.271000354423425e-07,
465
+ "logits/chosen": -2.7843871116638184,
466
+ "logits/rejected": -2.7540178298950195,
467
+ "logps/chosen": -1.0450012683868408,
468
+ "logps/rejected": -1.2890008687973022,
469
+ "loss": 0.7419,
470
+ "rewards/accuracies": 0.625,
471
+ "rewards/chosen": -1.0450012683868408,
472
+ "rewards/margins": 0.24399971961975098,
473
+ "rewards/rejected": -1.2890008687973022,
474
+ "step": 155
475
+ },
476
+ {
477
+ "epoch": 0.33499084009421615,
478
+ "grad_norm": 14.568182153638816,
479
+ "learning_rate": 4.2052190435769554e-07,
480
+ "logits/chosen": -2.7708890438079834,
481
+ "logits/rejected": -2.7408313751220703,
482
+ "logps/chosen": -1.0297720432281494,
483
+ "logps/rejected": -1.3061676025390625,
484
+ "loss": 0.746,
485
+ "rewards/accuracies": 0.625,
486
+ "rewards/chosen": -1.0297720432281494,
487
+ "rewards/margins": 0.2763958275318146,
488
+ "rewards/rejected": -1.3061676025390625,
489
+ "step": 160
490
+ },
491
+ {
492
+ "epoch": 0.34545930384716045,
493
+ "grad_norm": 13.952356966322911,
494
+ "learning_rate": 4.137151834863213e-07,
495
+ "logits/chosen": -2.772400140762329,
496
+ "logits/rejected": -2.6952953338623047,
497
+ "logps/chosen": -0.9658434987068176,
498
+ "logps/rejected": -1.2914047241210938,
499
+ "loss": 0.7413,
500
+ "rewards/accuracies": 0.625,
501
+ "rewards/chosen": -0.9658434987068176,
502
+ "rewards/margins": 0.32556113600730896,
503
+ "rewards/rejected": -1.2914047241210938,
504
+ "step": 165
505
+ },
506
+ {
507
+ "epoch": 0.3559277676001047,
508
+ "grad_norm": 13.933907932744528,
509
+ "learning_rate": 4.0668899744407567e-07,
510
+ "logits/chosen": -2.7683300971984863,
511
+ "logits/rejected": -2.7026619911193848,
512
+ "logps/chosen": -1.0619356632232666,
513
+ "logps/rejected": -1.3435611724853516,
514
+ "loss": 0.747,
515
+ "rewards/accuracies": 0.625,
516
+ "rewards/chosen": -1.0619356632232666,
517
+ "rewards/margins": 0.2816254794597626,
518
+ "rewards/rejected": -1.3435611724853516,
519
+ "step": 170
520
+ },
521
+ {
522
+ "epoch": 0.36639623135304894,
523
+ "grad_norm": 12.172184718827962,
524
+ "learning_rate": 3.994527650465352e-07,
525
+ "logits/chosen": -2.762418270111084,
526
+ "logits/rejected": -2.6775519847869873,
527
+ "logps/chosen": -1.0495750904083252,
528
+ "logps/rejected": -1.331768274307251,
529
+ "loss": 0.755,
530
+ "rewards/accuracies": 0.606249988079071,
531
+ "rewards/chosen": -1.0495750904083252,
532
+ "rewards/margins": 0.2821928858757019,
533
+ "rewards/rejected": -1.331768274307251,
534
+ "step": 175
535
+ },
536
+ {
537
+ "epoch": 0.3768646951059932,
538
+ "grad_norm": 14.269164632788968,
539
+ "learning_rate": 3.920161866827889e-07,
540
+ "logits/chosen": -2.758896589279175,
541
+ "logits/rejected": -2.742147922515869,
542
+ "logps/chosen": -1.0251743793487549,
543
+ "logps/rejected": -1.3645293712615967,
544
+ "loss": 0.7455,
545
+ "rewards/accuracies": 0.6625000238418579,
546
+ "rewards/chosen": -1.0251743793487549,
547
+ "rewards/margins": 0.3393550515174866,
548
+ "rewards/rejected": -1.3645293712615967,
549
+ "step": 180
550
+ },
551
+ {
552
+ "epoch": 0.38733315885893743,
553
+ "grad_norm": 12.197693303841156,
554
+ "learning_rate": 3.8438923131177237e-07,
555
+ "logits/chosen": -2.766483783721924,
556
+ "logits/rejected": -2.678823471069336,
557
+ "logps/chosen": -1.0455878973007202,
558
+ "logps/rejected": -1.4074945449829102,
559
+ "loss": 0.7358,
560
+ "rewards/accuracies": 0.6625000238418579,
561
+ "rewards/chosen": -1.0455878973007202,
562
+ "rewards/margins": 0.36190664768218994,
563
+ "rewards/rejected": -1.4074945449829102,
564
+ "step": 185
565
+ },
566
+ {
567
+ "epoch": 0.39780162261188173,
568
+ "grad_norm": 16.35735790830286,
569
+ "learning_rate": 3.765821230985757e-07,
570
+ "logits/chosen": -2.7736458778381348,
571
+ "logits/rejected": -2.7361159324645996,
572
+ "logps/chosen": -1.034018635749817,
573
+ "logps/rejected": -1.3103978633880615,
574
+ "loss": 0.7575,
575
+ "rewards/accuracies": 0.6187499761581421,
576
+ "rewards/chosen": -1.034018635749817,
577
+ "rewards/margins": 0.2763793170452118,
578
+ "rewards/rejected": -1.3103978633880615,
579
+ "step": 190
580
+ },
581
+ {
582
+ "epoch": 0.408270086364826,
583
+ "grad_norm": 14.111583126579113,
584
+ "learning_rate": 3.6860532770864005e-07,
585
+ "logits/chosen": -2.6895153522491455,
586
+ "logits/rejected": -2.662205696105957,
587
+ "logps/chosen": -1.0923384428024292,
588
+ "logps/rejected": -1.3151925802230835,
589
+ "loss": 0.7386,
590
+ "rewards/accuracies": 0.612500011920929,
591
+ "rewards/chosen": -1.0923384428024292,
592
+ "rewards/margins": 0.22285406291484833,
593
+ "rewards/rejected": -1.3151925802230835,
594
+ "step": 195
595
+ },
596
+ {
597
+ "epoch": 0.4187385501177702,
598
+ "grad_norm": 14.076396554619945,
599
+ "learning_rate": 3.604695382782159e-07,
600
+ "logits/chosen": -2.730325222015381,
601
+ "logits/rejected": -2.7146542072296143,
602
+ "logps/chosen": -1.0586004257202148,
603
+ "logps/rejected": -1.3197696208953857,
604
+ "loss": 0.7445,
605
+ "rewards/accuracies": 0.6000000238418579,
606
+ "rewards/chosen": -1.0586004257202148,
607
+ "rewards/margins": 0.2611694037914276,
608
+ "rewards/rejected": -1.3197696208953857,
609
+ "step": 200
610
+ },
611
+ {
612
+ "epoch": 0.42920701387071447,
613
+ "grad_norm": 13.245710220481957,
614
+ "learning_rate": 3.5218566107988867e-07,
615
+ "logits/chosen": -2.6548683643341064,
616
+ "logits/rejected": -2.587470054626465,
617
+ "logps/chosen": -1.0069193840026855,
618
+ "logps/rejected": -1.2861696481704712,
619
+ "loss": 0.7362,
620
+ "rewards/accuracies": 0.606249988079071,
621
+ "rewards/chosen": -1.0069193840026855,
622
+ "rewards/margins": 0.27925023436546326,
623
+ "rewards/rejected": -1.2861696481704712,
624
+ "step": 205
625
+ },
626
+ {
627
+ "epoch": 0.4396754776236587,
628
+ "grad_norm": 14.845756718974505,
629
+ "learning_rate": 3.4376480090239047e-07,
630
+ "logits/chosen": -2.6589674949645996,
631
+ "logits/rejected": -2.6112613677978516,
632
+ "logps/chosen": -1.043101191520691,
633
+ "logps/rejected": -1.2650586366653442,
634
+ "loss": 0.7466,
635
+ "rewards/accuracies": 0.606249988079071,
636
+ "rewards/chosen": -1.043101191520691,
637
+ "rewards/margins": 0.22195737063884735,
638
+ "rewards/rejected": -1.2650586366653442,
639
+ "step": 210
640
+ },
641
+ {
642
+ "epoch": 0.45014394137660296,
643
+ "grad_norm": 11.043203195018044,
644
+ "learning_rate": 3.3521824616429284e-07,
645
+ "logits/chosen": -2.68113374710083,
646
+ "logits/rejected": -2.6553902626037598,
647
+ "logps/chosen": -0.9405063390731812,
648
+ "logps/rejected": -1.3108428716659546,
649
+ "loss": 0.7378,
650
+ "rewards/accuracies": 0.762499988079071,
651
+ "rewards/chosen": -0.9405063390731812,
652
+ "rewards/margins": 0.3703363537788391,
653
+ "rewards/rejected": -1.3108428716659546,
654
+ "step": 215
655
+ },
656
+ {
657
+ "epoch": 0.46061240512954726,
658
+ "grad_norm": 16.749924929142505,
659
+ "learning_rate": 3.265574537815398e-07,
660
+ "logits/chosen": -2.714653968811035,
661
+ "logits/rejected": -2.6374471187591553,
662
+ "logps/chosen": -1.0079431533813477,
663
+ "logps/rejected": -1.37057626247406,
664
+ "loss": 0.735,
665
+ "rewards/accuracies": 0.643750011920929,
666
+ "rewards/chosen": -1.0079431533813477,
667
+ "rewards/margins": 0.3626330494880676,
668
+ "rewards/rejected": -1.37057626247406,
669
+ "step": 220
670
+ },
671
+ {
672
+ "epoch": 0.4710808688824915,
673
+ "grad_norm": 14.441344062450174,
674
+ "learning_rate": 3.1779403380910425e-07,
675
+ "logits/chosen": -2.705112934112549,
676
+ "logits/rejected": -2.5974721908569336,
677
+ "logps/chosen": -0.9732646942138672,
678
+ "logps/rejected": -1.3816461563110352,
679
+ "loss": 0.7356,
680
+ "rewards/accuracies": 0.612500011920929,
681
+ "rewards/chosen": -0.9732646942138672,
682
+ "rewards/margins": 0.40838152170181274,
683
+ "rewards/rejected": -1.3816461563110352,
684
+ "step": 225
685
+ },
686
+ {
687
+ "epoch": 0.48154933263543576,
688
+ "grad_norm": 12.617003125685786,
689
+ "learning_rate": 3.0893973387735683e-07,
690
+ "logits/chosen": -2.7150943279266357,
691
+ "logits/rejected": -2.6219162940979004,
692
+ "logps/chosen": -0.9865689277648926,
693
+ "logps/rejected": -1.4115015268325806,
694
+ "loss": 0.7293,
695
+ "rewards/accuracies": 0.706250011920929,
696
+ "rewards/chosen": -0.9865689277648926,
697
+ "rewards/margins": 0.42493247985839844,
698
+ "rewards/rejected": -1.4115015268325806,
699
+ "step": 230
700
+ },
701
+ {
702
+ "epoch": 0.49201779638838,
703
+ "grad_norm": 15.76783159424914,
704
+ "learning_rate": 3.000064234440111e-07,
705
+ "logits/chosen": -2.7245564460754395,
706
+ "logits/rejected": -2.667783260345459,
707
+ "logps/chosen": -0.9892565608024597,
708
+ "logps/rejected": -1.3223989009857178,
709
+ "loss": 0.7336,
710
+ "rewards/accuracies": 0.699999988079071,
711
+ "rewards/chosen": -0.9892565608024597,
712
+ "rewards/margins": 0.33314234018325806,
713
+ "rewards/rejected": -1.3223989009857178,
714
+ "step": 235
715
+ },
716
+ {
717
+ "epoch": 0.5024862601413242,
718
+ "grad_norm": 12.168750234398605,
719
+ "learning_rate": 2.910060778827554e-07,
720
+ "logits/chosen": -2.669553756713867,
721
+ "logits/rejected": -2.6276214122772217,
722
+ "logps/chosen": -1.0081182718276978,
723
+ "logps/rejected": -1.3357713222503662,
724
+ "loss": 0.7291,
725
+ "rewards/accuracies": 0.6312500238418579,
726
+ "rewards/chosen": -1.0081182718276978,
727
+ "rewards/margins": 0.32765328884124756,
728
+ "rewards/rejected": -1.3357713222503662,
729
+ "step": 240
730
+ },
731
+ {
732
+ "epoch": 0.5129547238942685,
733
+ "grad_norm": 10.888223535723034,
734
+ "learning_rate": 2.8195076242990116e-07,
735
+ "logits/chosen": -2.7039177417755127,
736
+ "logits/rejected": -2.6095385551452637,
737
+ "logps/chosen": -1.057512879371643,
738
+ "logps/rejected": -1.33600652217865,
739
+ "loss": 0.7378,
740
+ "rewards/accuracies": 0.625,
741
+ "rewards/chosen": -1.057512879371643,
742
+ "rewards/margins": 0.2784937620162964,
743
+ "rewards/rejected": -1.33600652217865,
744
+ "step": 245
745
+ },
746
+ {
747
+ "epoch": 0.5234231876472127,
748
+ "grad_norm": 13.48556259525564,
749
+ "learning_rate": 2.7285261601056697e-07,
750
+ "logits/chosen": -2.603414535522461,
751
+ "logits/rejected": -2.5493083000183105,
752
+ "logps/chosen": -1.0165168046951294,
753
+ "logps/rejected": -1.3705979585647583,
754
+ "loss": 0.7501,
755
+ "rewards/accuracies": 0.675000011920929,
756
+ "rewards/chosen": -1.0165168046951294,
757
+ "rewards/margins": 0.35408109426498413,
758
+ "rewards/rejected": -1.3705979585647583,
759
+ "step": 250
760
+ },
761
+ {
762
+ "epoch": 0.533891651400157,
763
+ "grad_norm": 11.25238225575941,
764
+ "learning_rate": 2.6372383496608186e-07,
765
+ "logits/chosen": -2.643340587615967,
766
+ "logits/rejected": -2.536959171295166,
767
+ "logps/chosen": -1.0472781658172607,
768
+ "logps/rejected": -1.4470490217208862,
769
+ "loss": 0.721,
770
+ "rewards/accuracies": 0.65625,
771
+ "rewards/chosen": -1.0472781658172607,
772
+ "rewards/margins": 0.39977091550827026,
773
+ "rewards/rejected": -1.4470490217208862,
774
+ "step": 255
775
+ },
776
+ {
777
+ "epoch": 0.5443601151531012,
778
+ "grad_norm": 11.565809494898701,
779
+ "learning_rate": 2.5457665670441937e-07,
780
+ "logits/chosen": -2.609039545059204,
781
+ "logits/rejected": -2.502159595489502,
782
+ "logps/chosen": -0.9671168327331543,
783
+ "logps/rejected": -1.4019583463668823,
784
+ "loss": 0.7349,
785
+ "rewards/accuracies": 0.65625,
786
+ "rewards/chosen": -0.9671168327331543,
787
+ "rewards/margins": 0.4348415434360504,
788
+ "rewards/rejected": -1.4019583463668823,
789
+ "step": 260
790
+ },
791
+ {
792
+ "epoch": 0.5548285789060455,
793
+ "grad_norm": 12.453073847695425,
794
+ "learning_rate": 2.454233432955807e-07,
795
+ "logits/chosen": -2.649348735809326,
796
+ "logits/rejected": -2.5835018157958984,
797
+ "logps/chosen": -0.9769356846809387,
798
+ "logps/rejected": -1.1988904476165771,
799
+ "loss": 0.7297,
800
+ "rewards/accuracies": 0.65625,
801
+ "rewards/chosen": -0.9769356846809387,
802
+ "rewards/margins": 0.22195477783679962,
803
+ "rewards/rejected": -1.1988904476165771,
804
+ "step": 265
805
+ },
806
+ {
807
+ "epoch": 0.5652970426589898,
808
+ "grad_norm": 14.98293097042728,
809
+ "learning_rate": 2.3627616503391812e-07,
810
+ "logits/chosen": -2.6596057415008545,
811
+ "logits/rejected": -2.6029915809631348,
812
+ "logps/chosen": -1.060955286026001,
813
+ "logps/rejected": -1.3076387643814087,
814
+ "loss": 0.7388,
815
+ "rewards/accuracies": 0.706250011920929,
816
+ "rewards/chosen": -1.060955286026001,
817
+ "rewards/margins": 0.24668343365192413,
818
+ "rewards/rejected": -1.3076387643814087,
819
+ "step": 270
820
+ },
821
+ {
822
+ "epoch": 0.575765506411934,
823
+ "grad_norm": 11.623532564015099,
824
+ "learning_rate": 2.2714738398943308e-07,
825
+ "logits/chosen": -2.7393107414245605,
826
+ "logits/rejected": -2.627927303314209,
827
+ "logps/chosen": -1.0123107433319092,
828
+ "logps/rejected": -1.4212400913238525,
829
+ "loss": 0.7318,
830
+ "rewards/accuracies": 0.65625,
831
+ "rewards/chosen": -1.0123107433319092,
832
+ "rewards/margins": 0.4089292585849762,
833
+ "rewards/rejected": -1.4212400913238525,
834
+ "step": 275
835
+ },
836
+ {
837
+ "epoch": 0.5862339701648783,
838
+ "grad_norm": 12.263997829347408,
839
+ "learning_rate": 2.1804923757009882e-07,
840
+ "logits/chosen": -2.769882917404175,
841
+ "logits/rejected": -2.697937488555908,
842
+ "logps/chosen": -1.003604531288147,
843
+ "logps/rejected": -1.2558648586273193,
844
+ "loss": 0.7371,
845
+ "rewards/accuracies": 0.668749988079071,
846
+ "rewards/chosen": -1.003604531288147,
847
+ "rewards/margins": 0.2522605061531067,
848
+ "rewards/rejected": -1.2558648586273193,
849
+ "step": 280
850
+ },
851
+ {
852
+ "epoch": 0.5967024339178225,
853
+ "grad_norm": 11.924728394634029,
854
+ "learning_rate": 2.089939221172446e-07,
855
+ "logits/chosen": -2.7121453285217285,
856
+ "logits/rejected": -2.7105841636657715,
857
+ "logps/chosen": -1.0530743598937988,
858
+ "logps/rejected": -1.3655306100845337,
859
+ "loss": 0.7323,
860
+ "rewards/accuracies": 0.675000011920929,
861
+ "rewards/chosen": -1.0530743598937988,
862
+ "rewards/margins": 0.31245604157447815,
863
+ "rewards/rejected": -1.3655306100845337,
864
+ "step": 285
865
+ },
866
+ {
867
+ "epoch": 0.6071708976707668,
868
+ "grad_norm": 11.28678386558285,
869
+ "learning_rate": 1.9999357655598891e-07,
870
+ "logits/chosen": -2.758227825164795,
871
+ "logits/rejected": -2.711308002471924,
872
+ "logps/chosen": -1.0129145383834839,
873
+ "logps/rejected": -1.386401891708374,
874
+ "loss": 0.7258,
875
+ "rewards/accuracies": 0.6875,
876
+ "rewards/chosen": -1.0129145383834839,
877
+ "rewards/margins": 0.3734874725341797,
878
+ "rewards/rejected": -1.386401891708374,
879
+ "step": 290
880
+ },
881
+ {
882
+ "epoch": 0.6176393614237111,
883
+ "grad_norm": 13.706657289324387,
884
+ "learning_rate": 1.9106026612264315e-07,
885
+ "logits/chosen": -2.7800045013427734,
886
+ "logits/rejected": -2.690302610397339,
887
+ "logps/chosen": -1.016311526298523,
888
+ "logps/rejected": -1.3633009195327759,
889
+ "loss": 0.7376,
890
+ "rewards/accuracies": 0.706250011920929,
891
+ "rewards/chosen": -1.016311526298523,
892
+ "rewards/margins": 0.34698933362960815,
893
+ "rewards/rejected": -1.3633009195327759,
894
+ "step": 295
895
+ },
896
+ {
897
+ "epoch": 0.6281078251766553,
898
+ "grad_norm": 13.79182727729131,
899
+ "learning_rate": 1.8220596619089573e-07,
900
+ "logits/chosen": -2.680269718170166,
901
+ "logits/rejected": -2.629142999649048,
902
+ "logps/chosen": -0.9930880665779114,
903
+ "logps/rejected": -1.2967426776885986,
904
+ "loss": 0.7295,
905
+ "rewards/accuracies": 0.699999988079071,
906
+ "rewards/chosen": -0.9930880665779114,
907
+ "rewards/margins": 0.30365443229675293,
908
+ "rewards/rejected": -1.2967426776885986,
909
+ "step": 300
910
+ },
911
+ {
912
+ "epoch": 0.6385762889295996,
913
+ "grad_norm": 14.457437233341306,
914
+ "learning_rate": 1.7344254621846017e-07,
915
+ "logits/chosen": -2.6520402431488037,
916
+ "logits/rejected": -2.6048717498779297,
917
+ "logps/chosen": -1.0168180465698242,
918
+ "logps/rejected": -1.415621042251587,
919
+ "loss": 0.7162,
920
+ "rewards/accuracies": 0.699999988079071,
921
+ "rewards/chosen": -1.0168180465698242,
922
+ "rewards/margins": 0.3988030254840851,
923
+ "rewards/rejected": -1.415621042251587,
924
+ "step": 305
925
+ },
926
+ {
927
+ "epoch": 0.6490447526825438,
928
+ "grad_norm": 12.793548808779951,
929
+ "learning_rate": 1.647817538357072e-07,
930
+ "logits/chosen": -2.6753201484680176,
931
+ "logits/rejected": -2.6719937324523926,
932
+ "logps/chosen": -0.9765653610229492,
933
+ "logps/rejected": -1.3679265975952148,
934
+ "loss": 0.7149,
935
+ "rewards/accuracies": 0.6875,
936
+ "rewards/chosen": -0.9765653610229492,
937
+ "rewards/margins": 0.3913612961769104,
938
+ "rewards/rejected": -1.3679265975952148,
939
+ "step": 310
940
+ },
941
+ {
942
+ "epoch": 0.6595132164354881,
943
+ "grad_norm": 13.647697652174228,
944
+ "learning_rate": 1.562351990976095e-07,
945
+ "logits/chosen": -2.707498550415039,
946
+ "logits/rejected": -2.652143955230713,
947
+ "logps/chosen": -0.9738147854804993,
948
+ "logps/rejected": -1.4322879314422607,
949
+ "loss": 0.7255,
950
+ "rewards/accuracies": 0.737500011920929,
951
+ "rewards/chosen": -0.9738147854804993,
952
+ "rewards/margins": 0.4584731161594391,
953
+ "rewards/rejected": -1.4322879314422607,
954
+ "step": 315
955
+ },
956
+ {
957
+ "epoch": 0.6699816801884323,
958
+ "grad_norm": 15.43709393377155,
959
+ "learning_rate": 1.478143389201113e-07,
960
+ "logits/chosen": -2.699500322341919,
961
+ "logits/rejected": -2.677785634994507,
962
+ "logps/chosen": -1.0496845245361328,
963
+ "logps/rejected": -1.3157514333724976,
964
+ "loss": 0.7299,
965
+ "rewards/accuracies": 0.6187499761581421,
966
+ "rewards/chosen": -1.0496845245361328,
967
+ "rewards/margins": 0.2660670876502991,
968
+ "rewards/rejected": -1.3157514333724976,
969
+ "step": 320
970
+ },
971
+ {
972
+ "epoch": 0.6804501439413766,
973
+ "grad_norm": 13.720816152844446,
974
+ "learning_rate": 1.3953046172178413e-07,
975
+ "logits/chosen": -2.720409631729126,
976
+ "logits/rejected": -2.635681629180908,
977
+ "logps/chosen": -1.0098615884780884,
978
+ "logps/rejected": -1.4135617017745972,
979
+ "loss": 0.7208,
980
+ "rewards/accuracies": 0.675000011920929,
981
+ "rewards/chosen": -1.0098615884780884,
982
+ "rewards/margins": 0.4037002921104431,
983
+ "rewards/rejected": -1.4135617017745972,
984
+ "step": 325
985
+ },
986
+ {
987
+ "epoch": 0.6909186076943209,
988
+ "grad_norm": 15.415691985906774,
989
+ "learning_rate": 1.3139467229135998e-07,
990
+ "logits/chosen": -2.691079616546631,
991
+ "logits/rejected": -2.6406595706939697,
992
+ "logps/chosen": -0.9770712852478027,
993
+ "logps/rejected": -1.2339041233062744,
994
+ "loss": 0.727,
995
+ "rewards/accuracies": 0.625,
996
+ "rewards/chosen": -0.9770712852478027,
997
+ "rewards/margins": 0.2568328380584717,
998
+ "rewards/rejected": -1.2339041233062744,
999
+ "step": 330
1000
+ },
1001
+ {
1002
+ "epoch": 0.7013870714472651,
1003
+ "grad_norm": 13.11840303428364,
1004
+ "learning_rate": 1.2341787690142435e-07,
1005
+ "logits/chosen": -2.797006845474243,
1006
+ "logits/rejected": -2.7196357250213623,
1007
+ "logps/chosen": -0.968543529510498,
1008
+ "logps/rejected": -1.316467046737671,
1009
+ "loss": 0.7386,
1010
+ "rewards/accuracies": 0.6875,
1011
+ "rewards/chosen": -0.968543529510498,
1012
+ "rewards/margins": 0.3479234576225281,
1013
+ "rewards/rejected": -1.316467046737671,
1014
+ "step": 335
1015
+ },
1016
+ {
1017
+ "epoch": 0.7118555352002094,
1018
+ "grad_norm": 13.776626930672093,
1019
+ "learning_rate": 1.1561076868822755e-07,
1020
+ "logits/chosen": -2.7232143878936768,
1021
+ "logits/rejected": -2.646807909011841,
1022
+ "logps/chosen": -1.1491429805755615,
1023
+ "logps/rejected": -1.4109306335449219,
1024
+ "loss": 0.7332,
1025
+ "rewards/accuracies": 0.6875,
1026
+ "rewards/chosen": -1.1491429805755615,
1027
+ "rewards/margins": 0.26178762316703796,
1028
+ "rewards/rejected": -1.4109306335449219,
1029
+ "step": 340
1030
+ },
1031
+ {
1032
+ "epoch": 0.7223239989531536,
1033
+ "grad_norm": 31.3699616400003,
1034
+ "learning_rate": 1.0798381331721107e-07,
1035
+ "logits/chosen": -2.74650502204895,
1036
+ "logits/rejected": -2.7001473903656006,
1037
+ "logps/chosen": -1.0154855251312256,
1038
+ "logps/rejected": -1.3520514965057373,
1039
+ "loss": 0.7316,
1040
+ "rewards/accuracies": 0.6312500238418579,
1041
+ "rewards/chosen": -1.0154855251312256,
1042
+ "rewards/margins": 0.3365658223628998,
1043
+ "rewards/rejected": -1.3520514965057373,
1044
+ "step": 345
1045
+ },
1046
+ {
1047
+ "epoch": 0.7327924627060979,
1048
+ "grad_norm": 13.496272269070083,
1049
+ "learning_rate": 1.0054723495346482e-07,
1050
+ "logits/chosen": -2.704589366912842,
1051
+ "logits/rejected": -2.6791272163391113,
1052
+ "logps/chosen": -1.0462541580200195,
1053
+ "logps/rejected": -1.3184092044830322,
1054
+ "loss": 0.7317,
1055
+ "rewards/accuracies": 0.5687500238418579,
1056
+ "rewards/chosen": -1.0462541580200195,
1057
+ "rewards/margins": 0.2721550166606903,
1058
+ "rewards/rejected": -1.3184092044830322,
1059
+ "step": 350
1060
+ },
1061
+ {
1062
+ "epoch": 0.7432609264590422,
1063
+ "grad_norm": 14.124668961739028,
1064
+ "learning_rate": 9.331100255592436e-08,
1065
+ "logits/chosen": -2.708498477935791,
1066
+ "logits/rejected": -2.6446452140808105,
1067
+ "logps/chosen": -0.9414374232292175,
1068
+ "logps/rejected": -1.36155104637146,
1069
+ "loss": 0.7205,
1070
+ "rewards/accuracies": 0.731249988079071,
1071
+ "rewards/chosen": -0.9414374232292175,
1072
+ "rewards/margins": 0.4201137125492096,
1073
+ "rewards/rejected": -1.36155104637146,
1074
+ "step": 355
1075
+ },
1076
+ {
1077
+ "epoch": 0.7537293902119864,
1078
+ "grad_norm": 13.457043890907538,
1079
+ "learning_rate": 8.628481651367875e-08,
1080
+ "logits/chosen": -2.7404441833496094,
1081
+ "logits/rejected": -2.67539644241333,
1082
+ "logps/chosen": -0.9412056803703308,
1083
+ "logps/rejected": -1.2558085918426514,
1084
+ "loss": 0.7175,
1085
+ "rewards/accuracies": 0.643750011920929,
1086
+ "rewards/chosen": -0.9412056803703308,
1087
+ "rewards/margins": 0.3146027624607086,
1088
+ "rewards/rejected": -1.2558085918426514,
1089
+ "step": 360
1090
+ },
1091
+ {
1092
+ "epoch": 0.7641978539649307,
1093
+ "grad_norm": 15.132184147715591,
1094
+ "learning_rate": 7.947809564230445e-08,
1095
+ "logits/chosen": -2.6669039726257324,
1096
+ "logits/rejected": -2.5819497108459473,
1097
+ "logps/chosen": -1.0663950443267822,
1098
+ "logps/rejected": -1.4138139486312866,
1099
+ "loss": 0.733,
1100
+ "rewards/accuracies": 0.6812499761581421,
1101
+ "rewards/chosen": -1.0663950443267822,
1102
+ "rewards/margins": 0.3474189043045044,
1103
+ "rewards/rejected": -1.4138139486312866,
1104
+ "step": 365
1105
+ },
1106
+ {
1107
+ "epoch": 0.7746663177178749,
1108
+ "grad_norm": 14.332198948063045,
1109
+ "learning_rate": 7.289996455765748e-08,
1110
+ "logits/chosen": -2.723731517791748,
1111
+ "logits/rejected": -2.6572673320770264,
1112
+ "logps/chosen": -1.0250599384307861,
1113
+ "logps/rejected": -1.424739122390747,
1114
+ "loss": 0.7222,
1115
+ "rewards/accuracies": 0.675000011920929,
1116
+ "rewards/chosen": -1.0250599384307861,
1117
+ "rewards/margins": 0.3996792137622833,
1118
+ "rewards/rejected": -1.424739122390747,
1119
+ "step": 370
1120
+ },
1121
+ {
1122
+ "epoch": 0.7851347814708192,
1123
+ "grad_norm": 14.596381600862914,
1124
+ "learning_rate": 6.655924144404906e-08,
1125
+ "logits/chosen": -2.6905336380004883,
1126
+ "logits/rejected": -2.7106149196624756,
1127
+ "logps/chosen": -1.0149867534637451,
1128
+ "logps/rejected": -1.3051953315734863,
1129
+ "loss": 0.7202,
1130
+ "rewards/accuracies": 0.6000000238418579,
1131
+ "rewards/chosen": -1.0149867534637451,
1132
+ "rewards/margins": 0.29020851850509644,
1133
+ "rewards/rejected": -1.3051953315734863,
1134
+ "step": 375
1135
+ },
1136
+ {
1137
+ "epoch": 0.7956032452237635,
1138
+ "grad_norm": 14.603719819531335,
1139
+ "learning_rate": 6.046442623320145e-08,
1140
+ "logits/chosen": -2.6890244483947754,
1141
+ "logits/rejected": -2.642037868499756,
1142
+ "logps/chosen": -1.0287978649139404,
1143
+ "logps/rejected": -1.3297768831253052,
1144
+ "loss": 0.7174,
1145
+ "rewards/accuracies": 0.612500011920929,
1146
+ "rewards/chosen": -1.0287978649139404,
1147
+ "rewards/margins": 0.3009788990020752,
1148
+ "rewards/rejected": -1.3297768831253052,
1149
+ "step": 380
1150
+ },
1151
+ {
1152
+ "epoch": 0.8060717089767077,
1153
+ "grad_norm": 13.110971433594608,
1154
+ "learning_rate": 5.4623689209832484e-08,
1155
+ "logits/chosen": -2.711418628692627,
1156
+ "logits/rejected": -2.630286931991577,
1157
+ "logps/chosen": -0.9913849830627441,
1158
+ "logps/rejected": -1.3187940120697021,
1159
+ "loss": 0.7269,
1160
+ "rewards/accuracies": 0.6187499761581421,
1161
+ "rewards/chosen": -0.9913849830627441,
1162
+ "rewards/margins": 0.32740893959999084,
1163
+ "rewards/rejected": -1.3187940120697021,
1164
+ "step": 385
1165
+ },
1166
+ {
1167
+ "epoch": 0.816540172729652,
1168
+ "grad_norm": 13.54888816829319,
1169
+ "learning_rate": 4.904486005914027e-08,
1170
+ "logits/chosen": -2.7440168857574463,
1171
+ "logits/rejected": -2.6783242225646973,
1172
+ "logps/chosen": -0.9728143811225891,
1173
+ "logps/rejected": -1.401568055152893,
1174
+ "loss": 0.721,
1175
+ "rewards/accuracies": 0.7124999761581421,
1176
+ "rewards/chosen": -0.9728143811225891,
1177
+ "rewards/margins": 0.4287536144256592,
1178
+ "rewards/rejected": -1.401568055152893,
1179
+ "step": 390
1180
+ },
1181
+ {
1182
+ "epoch": 0.8270086364825961,
1183
+ "grad_norm": 14.140732605295996,
1184
+ "learning_rate": 4.373541737087263e-08,
1185
+ "logits/chosen": -2.678018569946289,
1186
+ "logits/rejected": -2.5986359119415283,
1187
+ "logps/chosen": -0.9800823330879211,
1188
+ "logps/rejected": -1.3363488912582397,
1189
+ "loss": 0.7204,
1190
+ "rewards/accuracies": 0.668749988079071,
1191
+ "rewards/chosen": -0.9800823330879211,
1192
+ "rewards/margins": 0.35626673698425293,
1193
+ "rewards/rejected": -1.3363488912582397,
1194
+ "step": 395
1195
+ },
1196
+ {
1197
+ "epoch": 0.8374771002355405,
1198
+ "grad_norm": 15.5816112649507,
1199
+ "learning_rate": 3.8702478614051345e-08,
1200
+ "logits/chosen": -2.6373329162597656,
1201
+ "logits/rejected": -2.564797878265381,
1202
+ "logps/chosen": -0.9701173901557922,
1203
+ "logps/rejected": -1.2960200309753418,
1204
+ "loss": 0.7308,
1205
+ "rewards/accuracies": 0.6625000238418579,
1206
+ "rewards/chosen": -0.9701173901557922,
1207
+ "rewards/margins": 0.3259026110172272,
1208
+ "rewards/rejected": -1.2960200309753418,
1209
+ "step": 400
1210
+ },
1211
+ {
1212
+ "epoch": 0.8479455639884846,
1213
+ "grad_norm": 17.784476132865002,
1214
+ "learning_rate": 3.3952790595787986e-08,
1215
+ "logits/chosen": -2.7012085914611816,
1216
+ "logits/rejected": -2.6638095378875732,
1217
+ "logps/chosen": -1.0386940240859985,
1218
+ "logps/rejected": -1.3863780498504639,
1219
+ "loss": 0.7304,
1220
+ "rewards/accuracies": 0.625,
1221
+ "rewards/chosen": -1.0386940240859985,
1222
+ "rewards/margins": 0.3476840555667877,
1223
+ "rewards/rejected": -1.3863780498504639,
1224
+ "step": 405
1225
+ },
1226
+ {
1227
+ "epoch": 0.8584140277414289,
1228
+ "grad_norm": 15.06603652432609,
1229
+ "learning_rate": 2.9492720416985e-08,
1230
+ "logits/chosen": -2.7128243446350098,
1231
+ "logits/rejected": -2.665844678878784,
1232
+ "logps/chosen": -0.945576548576355,
1233
+ "logps/rejected": -1.2531321048736572,
1234
+ "loss": 0.7286,
1235
+ "rewards/accuracies": 0.637499988079071,
1236
+ "rewards/chosen": -0.945576548576355,
1237
+ "rewards/margins": 0.30755552649497986,
1238
+ "rewards/rejected": -1.2531321048736572,
1239
+ "step": 410
1240
+ },
1241
+ {
1242
+ "epoch": 0.8688824914943732,
1243
+ "grad_norm": 14.428983993595216,
1244
+ "learning_rate": 2.5328246937043525e-08,
1245
+ "logits/chosen": -2.7359042167663574,
1246
+ "logits/rejected": -2.667357921600342,
1247
+ "logps/chosen": -0.9915645718574524,
1248
+ "logps/rejected": -1.3631106615066528,
1249
+ "loss": 0.7099,
1250
+ "rewards/accuracies": 0.675000011920929,
1251
+ "rewards/chosen": -0.9915645718574524,
1252
+ "rewards/margins": 0.37154603004455566,
1253
+ "rewards/rejected": -1.3631106615066528,
1254
+ "step": 415
1255
+ },
1256
+ {
1257
+ "epoch": 0.8793509552473174,
1258
+ "grad_norm": 14.884029872245316,
1259
+ "learning_rate": 2.1464952759020856e-08,
1260
+ "logits/chosen": -2.6930131912231445,
1261
+ "logits/rejected": -2.6401591300964355,
1262
+ "logps/chosen": -0.9694199562072754,
1263
+ "logps/rejected": -1.325496792793274,
1264
+ "loss": 0.7333,
1265
+ "rewards/accuracies": 0.6187499761581421,
1266
+ "rewards/chosen": -0.9694199562072754,
1267
+ "rewards/margins": 0.3560766577720642,
1268
+ "rewards/rejected": -1.325496792793274,
1269
+ "step": 420
1270
+ },
1271
+ {
1272
+ "epoch": 0.8898194190002617,
1273
+ "grad_norm": 12.827005672064265,
1274
+ "learning_rate": 1.7908016745981856e-08,
1275
+ "logits/chosen": -2.656219482421875,
1276
+ "logits/rejected": -2.6254589557647705,
1277
+ "logps/chosen": -1.0963706970214844,
1278
+ "logps/rejected": -1.3683406114578247,
1279
+ "loss": 0.7122,
1280
+ "rewards/accuracies": 0.612500011920929,
1281
+ "rewards/chosen": -1.0963706970214844,
1282
+ "rewards/margins": 0.27196991443634033,
1283
+ "rewards/rejected": -1.3683406114578247,
1284
+ "step": 425
1285
+ },
1286
+ {
1287
+ "epoch": 0.9002878827532059,
1288
+ "grad_norm": 15.198602172266689,
1289
+ "learning_rate": 1.4662207078575684e-08,
1290
+ "logits/chosen": -2.6591544151306152,
1291
+ "logits/rejected": -2.595102548599243,
1292
+ "logps/chosen": -1.0449292659759521,
1293
+ "logps/rejected": -1.3946082592010498,
1294
+ "loss": 0.7107,
1295
+ "rewards/accuracies": 0.643750011920929,
1296
+ "rewards/chosen": -1.0449292659759521,
1297
+ "rewards/margins": 0.3496789336204529,
1298
+ "rewards/rejected": -1.3946082592010498,
1299
+ "step": 430
1300
+ },
1301
+ {
1302
+ "epoch": 0.9107563465061502,
1303
+ "grad_norm": 18.68711614034724,
1304
+ "learning_rate": 1.1731874863145142e-08,
1305
+ "logits/chosen": -2.7090446949005127,
1306
+ "logits/rejected": -2.670319080352783,
1307
+ "logps/chosen": -1.0166494846343994,
1308
+ "logps/rejected": -1.443265438079834,
1309
+ "loss": 0.7283,
1310
+ "rewards/accuracies": 0.6937500238418579,
1311
+ "rewards/chosen": -1.0166494846343994,
1312
+ "rewards/margins": 0.4266158938407898,
1313
+ "rewards/rejected": -1.443265438079834,
1314
+ "step": 435
1315
+ },
1316
+ {
1317
+ "epoch": 0.9212248102590945,
1318
+ "grad_norm": 15.09060995607935,
1319
+ "learning_rate": 9.12094829893642e-09,
1320
+ "logits/chosen": -2.65128755569458,
1321
+ "logits/rejected": -2.6307120323181152,
1322
+ "logps/chosen": -1.0401701927185059,
1323
+ "logps/rejected": -1.3651132583618164,
1324
+ "loss": 0.7233,
1325
+ "rewards/accuracies": 0.6499999761581421,
1326
+ "rewards/chosen": -1.0401701927185059,
1327
+ "rewards/margins": 0.32494306564331055,
1328
+ "rewards/rejected": -1.3651132583618164,
1329
+ "step": 440
1330
+ },
1331
+ {
1332
+ "epoch": 0.9316932740120387,
1333
+ "grad_norm": 15.446357779543456,
1334
+ "learning_rate": 6.832927412229017e-09,
1335
+ "logits/chosen": -2.7183310985565186,
1336
+ "logits/rejected": -2.6503405570983887,
1337
+ "logps/chosen": -1.0531015396118164,
1338
+ "logps/rejected": -1.3475028276443481,
1339
+ "loss": 0.7386,
1340
+ "rewards/accuracies": 0.643750011920929,
1341
+ "rewards/chosen": -1.0531015396118164,
1342
+ "rewards/margins": 0.2944013178348541,
1343
+ "rewards/rejected": -1.3475028276443481,
1344
+ "step": 445
1345
+ },
1346
+ {
1347
+ "epoch": 0.942161737764983,
1348
+ "grad_norm": 13.258009995423004,
1349
+ "learning_rate": 4.8708793644441086e-09,
1350
+ "logits/chosen": -2.6066839694976807,
1351
+ "logits/rejected": -2.5763983726501465,
1352
+ "logps/chosen": -1.0170929431915283,
1353
+ "logps/rejected": -1.3344027996063232,
1354
+ "loss": 0.7111,
1355
+ "rewards/accuracies": 0.65625,
1356
+ "rewards/chosen": -1.0170929431915283,
1357
+ "rewards/margins": 0.3173098564147949,
1358
+ "rewards/rejected": -1.3344027996063232,
1359
+ "step": 450
1360
+ },
1361
+ {
1362
+ "epoch": 0.9526302015179272,
1363
+ "grad_norm": 15.54617819240941,
1364
+ "learning_rate": 3.2374343405217884e-09,
1365
+ "logits/chosen": -2.6832032203674316,
1366
+ "logits/rejected": -2.6095805168151855,
1367
+ "logps/chosen": -1.0661931037902832,
1368
+ "logps/rejected": -1.3039623498916626,
1369
+ "loss": 0.7273,
1370
+ "rewards/accuracies": 0.643750011920929,
1371
+ "rewards/chosen": -1.0661931037902832,
1372
+ "rewards/margins": 0.23776927590370178,
1373
+ "rewards/rejected": -1.3039623498916626,
1374
+ "step": 455
1375
+ },
1376
+ {
1377
+ "epoch": 0.9630986652708715,
1378
+ "grad_norm": 14.258536237289112,
1379
+ "learning_rate": 1.9347820230782295e-09,
1380
+ "logits/chosen": -2.6628944873809814,
1381
+ "logits/rejected": -2.628173351287842,
1382
+ "logps/chosen": -0.9801522493362427,
1383
+ "logps/rejected": -1.3730151653289795,
1384
+ "loss": 0.7228,
1385
+ "rewards/accuracies": 0.699999988079071,
1386
+ "rewards/chosen": -0.9801522493362427,
1387
+ "rewards/margins": 0.3928629755973816,
1388
+ "rewards/rejected": -1.3730151653289795,
1389
+ "step": 460
1390
+ },
1391
+ {
1392
+ "epoch": 0.9735671290238157,
1393
+ "grad_norm": 15.020648407629507,
1394
+ "learning_rate": 9.64668657069706e-10,
1395
+ "logits/chosen": -2.720750570297241,
1396
+ "logits/rejected": -2.642735004425049,
1397
+ "logps/chosen": -1.056501030921936,
1398
+ "logps/rejected": -1.426608681678772,
1399
+ "loss": 0.7332,
1400
+ "rewards/accuracies": 0.7124999761581421,
1401
+ "rewards/chosen": -1.056501030921936,
1402
+ "rewards/margins": 0.37010759115219116,
1403
+ "rewards/rejected": -1.426608681678772,
1404
+ "step": 465
1405
+ },
1406
+ {
1407
+ "epoch": 0.98403559277676,
1408
+ "grad_norm": 13.93963936089262,
1409
+ "learning_rate": 3.2839470889836627e-10,
1410
+ "logits/chosen": -2.701134443283081,
1411
+ "logits/rejected": -2.6342315673828125,
1412
+ "logps/chosen": -0.9712923169136047,
1413
+ "logps/rejected": -1.2896690368652344,
1414
+ "loss": 0.7383,
1415
+ "rewards/accuracies": 0.65625,
1416
+ "rewards/chosen": -0.9712923169136047,
1417
+ "rewards/margins": 0.318376749753952,
1418
+ "rewards/rejected": -1.2896690368652344,
1419
+ "step": 470
1420
+ },
1421
+ {
1422
+ "epoch": 0.9945040565297043,
1423
+ "grad_norm": 13.208264465733016,
1424
+ "learning_rate": 2.6813123097352287e-11,
1425
+ "logits/chosen": -2.7540841102600098,
1426
+ "logits/rejected": -2.649541139602661,
1427
+ "logps/chosen": -1.0263760089874268,
1428
+ "logps/rejected": -1.3381690979003906,
1429
+ "loss": 0.7172,
1430
+ "rewards/accuracies": 0.606249988079071,
1431
+ "rewards/chosen": -1.0263760089874268,
1432
+ "rewards/margins": 0.31179291009902954,
1433
+ "rewards/rejected": -1.3381690979003906,
1434
+ "step": 475
1435
+ },
1436
+ {
1437
+ "epoch": 0.998691442030882,
1438
+ "step": 477,
1439
+ "total_flos": 0.0,
1440
+ "train_loss": 0.7450811588039438,
1441
+ "train_runtime": 7556.1724,
1442
+ "train_samples_per_second": 8.091,
1443
+ "train_steps_per_second": 0.063
1444
+ }
1445
+ ],
1446
+ "logging_steps": 5,
1447
+ "max_steps": 477,
1448
+ "num_input_tokens_seen": 0,
1449
+ "num_train_epochs": 1,
1450
+ "save_steps": 1000000,
1451
+ "total_flos": 0.0,
1452
+ "train_batch_size": 2,
1453
+ "trial_name": null,
1454
+ "trial_params": null
1455
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:501c4d41ba3844dc977212a05a900bf6d1408f7ba0c084f4b41242bfdf296d87
3
+ size 7160