TTTXXX01 commited on
Commit
3837f59
1 Parent(s): fa8a7e4

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: DPOAll-zephyr-7b-sft-full
10
+ results: []
11
+ ---
12
+
13
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
14
+ should probably proofread and complete it, then remove this comment. -->
15
+
16
+ # DPOAll-zephyr-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: 5e-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 2.3.0+cu121
59
+ - Datasets 2.19.1
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": 0.5142561288044628,
5
+ "train_runtime": 14779.9494,
6
+ "train_samples": 61135,
7
+ "train_samples_per_second": 4.136,
8
+ "train_steps_per_second": 0.086
9
+ }
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 sha256:34885248e0e92079915fc2757e1b83caed16fc01b07699c47ac38771ef20e551
3
+ size 4943162336
model-00002-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3fcc313a8e4ed9ecf10c3af1b9d14188398b8a21378ebe1cc5639f1ac7b4b05e
3
+ size 4999819336
model-00003-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24cced66115ab6a997233cdb6843de6e38a3784e0a2931037e35adde8886687f
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
+ }
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 0.0,
4
+ "train_loss": 0.5142561288044628,
5
+ "train_runtime": 14779.9494,
6
+ "train_samples": 61135,
7
+ "train_samples_per_second": 4.136,
8
+ "train_steps_per_second": 0.086
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": 12.183874888308356,
14
+ "learning_rate": 3.90625e-09,
15
+ "logits/chosen": 5914.52099609375,
16
+ "logits/rejected": 2785.021484375,
17
+ "logps/chosen": -212.45889282226562,
18
+ "logps/rejected": -98.59669494628906,
19
+ "loss": 0.6931,
20
+ "rewards/accuracies": 0.0,
21
+ "rewards/chosen": 0.0,
22
+ "rewards/margins": 0.0,
23
+ "rewards/rejected": 0.0,
24
+ "step": 1
25
+ },
26
+ {
27
+ "epoch": 0.007849293563579277,
28
+ "grad_norm": 12.022940194772952,
29
+ "learning_rate": 3.9062499999999997e-08,
30
+ "logits/chosen": 4973.8388671875,
31
+ "logits/rejected": 4328.1435546875,
32
+ "logps/chosen": -204.2343292236328,
33
+ "logps/rejected": -179.7129669189453,
34
+ "loss": 0.693,
35
+ "rewards/accuracies": 0.4907407760620117,
36
+ "rewards/chosen": 0.0495406910777092,
37
+ "rewards/margins": 0.05689071863889694,
38
+ "rewards/rejected": -0.0073500219732522964,
39
+ "step": 10
40
+ },
41
+ {
42
+ "epoch": 0.015698587127158554,
43
+ "grad_norm": 12.39145475940788,
44
+ "learning_rate": 7.812499999999999e-08,
45
+ "logits/chosen": 6084.19921875,
46
+ "logits/rejected": 4834.1728515625,
47
+ "logps/chosen": -217.16592407226562,
48
+ "logps/rejected": -196.7585906982422,
49
+ "loss": 0.6932,
50
+ "rewards/accuracies": 0.5583332777023315,
51
+ "rewards/chosen": 0.04528522491455078,
52
+ "rewards/margins": 0.09032775461673737,
53
+ "rewards/rejected": -0.045042525976896286,
54
+ "step": 20
55
+ },
56
+ {
57
+ "epoch": 0.023547880690737835,
58
+ "grad_norm": 10.95606444265039,
59
+ "learning_rate": 1.1718749999999999e-07,
60
+ "logits/chosen": 6084.501953125,
61
+ "logits/rejected": 5104.7861328125,
62
+ "logps/chosen": -250.5545654296875,
63
+ "logps/rejected": -209.32327270507812,
64
+ "loss": 0.6928,
65
+ "rewards/accuracies": 0.5416666269302368,
66
+ "rewards/chosen": 0.017780104652047157,
67
+ "rewards/margins": 0.043447066098451614,
68
+ "rewards/rejected": -0.025666963309049606,
69
+ "step": 30
70
+ },
71
+ {
72
+ "epoch": 0.03139717425431711,
73
+ "grad_norm": 11.394494245228758,
74
+ "learning_rate": 1.5624999999999999e-07,
75
+ "logits/chosen": 5311.82470703125,
76
+ "logits/rejected": 4346.9248046875,
77
+ "logps/chosen": -211.95864868164062,
78
+ "logps/rejected": -181.7149200439453,
79
+ "loss": 0.6926,
80
+ "rewards/accuracies": 0.6000000238418579,
81
+ "rewards/chosen": 0.1206112951040268,
82
+ "rewards/margins": 0.14849784970283508,
83
+ "rewards/rejected": -0.02788655459880829,
84
+ "step": 40
85
+ },
86
+ {
87
+ "epoch": 0.03924646781789639,
88
+ "grad_norm": 11.564571430671343,
89
+ "learning_rate": 1.9531249999999998e-07,
90
+ "logits/chosen": 6424.92578125,
91
+ "logits/rejected": 5042.4130859375,
92
+ "logps/chosen": -265.3628234863281,
93
+ "logps/rejected": -206.7937774658203,
94
+ "loss": 0.6917,
95
+ "rewards/accuracies": 0.6416667103767395,
96
+ "rewards/chosen": 0.26378005743026733,
97
+ "rewards/margins": 0.35793131589889526,
98
+ "rewards/rejected": -0.09415128082036972,
99
+ "step": 50
100
+ },
101
+ {
102
+ "epoch": 0.04709576138147567,
103
+ "grad_norm": 11.102599189445138,
104
+ "learning_rate": 2.3437499999999998e-07,
105
+ "logits/chosen": 5484.16796875,
106
+ "logits/rejected": 4559.7890625,
107
+ "logps/chosen": -213.72671508789062,
108
+ "logps/rejected": -209.1766357421875,
109
+ "loss": 0.6904,
110
+ "rewards/accuracies": 0.6916667222976685,
111
+ "rewards/chosen": 0.2772645354270935,
112
+ "rewards/margins": 0.6537687182426453,
113
+ "rewards/rejected": -0.37650415301322937,
114
+ "step": 60
115
+ },
116
+ {
117
+ "epoch": 0.054945054945054944,
118
+ "grad_norm": 10.661717942311114,
119
+ "learning_rate": 2.734375e-07,
120
+ "logits/chosen": 5194.5205078125,
121
+ "logits/rejected": 4918.86962890625,
122
+ "logps/chosen": -178.36367797851562,
123
+ "logps/rejected": -177.41653442382812,
124
+ "loss": 0.6891,
125
+ "rewards/accuracies": 0.7000000476837158,
126
+ "rewards/chosen": 0.11722215265035629,
127
+ "rewards/margins": 0.8020639419555664,
128
+ "rewards/rejected": -0.6848418712615967,
129
+ "step": 70
130
+ },
131
+ {
132
+ "epoch": 0.06279434850863422,
133
+ "grad_norm": 11.38693784182316,
134
+ "learning_rate": 3.1249999999999997e-07,
135
+ "logits/chosen": 5775.18603515625,
136
+ "logits/rejected": 5269.86474609375,
137
+ "logps/chosen": -196.8929443359375,
138
+ "logps/rejected": -183.09988403320312,
139
+ "loss": 0.6844,
140
+ "rewards/accuracies": 0.6416666507720947,
141
+ "rewards/chosen": -0.3243609666824341,
142
+ "rewards/margins": 1.1850136518478394,
143
+ "rewards/rejected": -1.5093746185302734,
144
+ "step": 80
145
+ },
146
+ {
147
+ "epoch": 0.0706436420722135,
148
+ "grad_norm": 13.081522033704324,
149
+ "learning_rate": 3.5156249999999997e-07,
150
+ "logits/chosen": 6037.05810546875,
151
+ "logits/rejected": 5177.779296875,
152
+ "logps/chosen": -220.82168579101562,
153
+ "logps/rejected": -191.5562286376953,
154
+ "loss": 0.6753,
155
+ "rewards/accuracies": 0.75,
156
+ "rewards/chosen": -1.939489722251892,
157
+ "rewards/margins": 5.1729536056518555,
158
+ "rewards/rejected": -7.112442970275879,
159
+ "step": 90
160
+ },
161
+ {
162
+ "epoch": 0.07849293563579278,
163
+ "grad_norm": 14.213599415550812,
164
+ "learning_rate": 3.9062499999999997e-07,
165
+ "logits/chosen": 5946.76953125,
166
+ "logits/rejected": 5723.97802734375,
167
+ "logps/chosen": -217.86697387695312,
168
+ "logps/rejected": -213.96273803710938,
169
+ "loss": 0.6721,
170
+ "rewards/accuracies": 0.6583333611488342,
171
+ "rewards/chosen": -7.636292457580566,
172
+ "rewards/margins": 6.884747505187988,
173
+ "rewards/rejected": -14.521039962768555,
174
+ "step": 100
175
+ },
176
+ {
177
+ "epoch": 0.08634222919937205,
178
+ "grad_norm": 13.71113666230255,
179
+ "learning_rate": 4.2968749999999996e-07,
180
+ "logits/chosen": 6407.90087890625,
181
+ "logits/rejected": 5226.25634765625,
182
+ "logps/chosen": -202.5398712158203,
183
+ "logps/rejected": -207.47341918945312,
184
+ "loss": 0.6571,
185
+ "rewards/accuracies": 0.6416667103767395,
186
+ "rewards/chosen": -19.424999237060547,
187
+ "rewards/margins": 9.056200981140137,
188
+ "rewards/rejected": -28.481201171875,
189
+ "step": 110
190
+ },
191
+ {
192
+ "epoch": 0.09419152276295134,
193
+ "grad_norm": 20.966364796722694,
194
+ "learning_rate": 4.6874999999999996e-07,
195
+ "logits/chosen": 6327.4384765625,
196
+ "logits/rejected": 5252.529296875,
197
+ "logps/chosen": -235.3113250732422,
198
+ "logps/rejected": -244.7873077392578,
199
+ "loss": 0.641,
200
+ "rewards/accuracies": 0.625,
201
+ "rewards/chosen": -32.47461700439453,
202
+ "rewards/margins": 14.147608757019043,
203
+ "rewards/rejected": -46.622215270996094,
204
+ "step": 120
205
+ },
206
+ {
207
+ "epoch": 0.10204081632653061,
208
+ "grad_norm": 17.429213091281362,
209
+ "learning_rate": 4.999962424962166e-07,
210
+ "logits/chosen": 6377.04150390625,
211
+ "logits/rejected": 5866.3994140625,
212
+ "logps/chosen": -255.5737762451172,
213
+ "logps/rejected": -267.1661682128906,
214
+ "loss": 0.6219,
215
+ "rewards/accuracies": 0.6833333969116211,
216
+ "rewards/chosen": -45.765281677246094,
217
+ "rewards/margins": 23.75636100769043,
218
+ "rewards/rejected": -69.52164459228516,
219
+ "step": 130
220
+ },
221
+ {
222
+ "epoch": 0.10989010989010989,
223
+ "grad_norm": 22.07418599729826,
224
+ "learning_rate": 4.998647417232375e-07,
225
+ "logits/chosen": 6324.4208984375,
226
+ "logits/rejected": 5559.1845703125,
227
+ "logps/chosen": -260.98162841796875,
228
+ "logps/rejected": -275.3335266113281,
229
+ "loss": 0.6176,
230
+ "rewards/accuracies": 0.6000000238418579,
231
+ "rewards/chosen": -75.31417846679688,
232
+ "rewards/margins": 22.427417755126953,
233
+ "rewards/rejected": -97.74159240722656,
234
+ "step": 140
235
+ },
236
+ {
237
+ "epoch": 0.11773940345368916,
238
+ "grad_norm": 24.92403786363537,
239
+ "learning_rate": 4.995454786965036e-07,
240
+ "logits/chosen": 6534.57666015625,
241
+ "logits/rejected": 5390.4990234375,
242
+ "logps/chosen": -264.1880798339844,
243
+ "logps/rejected": -261.91217041015625,
244
+ "loss": 0.6065,
245
+ "rewards/accuracies": 0.6916667222976685,
246
+ "rewards/chosen": -62.50370407104492,
247
+ "rewards/margins": 27.11073875427246,
248
+ "rewards/rejected": -89.61444854736328,
249
+ "step": 150
250
+ },
251
+ {
252
+ "epoch": 0.12558869701726844,
253
+ "grad_norm": 19.213920590891107,
254
+ "learning_rate": 4.990386933279972e-07,
255
+ "logits/chosen": 6421.54638671875,
256
+ "logits/rejected": 5690.19921875,
257
+ "logps/chosen": -256.95452880859375,
258
+ "logps/rejected": -288.18963623046875,
259
+ "loss": 0.5998,
260
+ "rewards/accuracies": 0.6750000715255737,
261
+ "rewards/chosen": -59.42634963989258,
262
+ "rewards/margins": 31.705699920654297,
263
+ "rewards/rejected": -91.1320571899414,
264
+ "step": 160
265
+ },
266
+ {
267
+ "epoch": 0.13343799058084774,
268
+ "grad_norm": 22.56435429980554,
269
+ "learning_rate": 4.983447664444096e-07,
270
+ "logits/chosen": 6637.67333984375,
271
+ "logits/rejected": 5861.8740234375,
272
+ "logps/chosen": -295.04107666015625,
273
+ "logps/rejected": -311.28521728515625,
274
+ "loss": 0.5938,
275
+ "rewards/accuracies": 0.6666666865348816,
276
+ "rewards/chosen": -85.42039489746094,
277
+ "rewards/margins": 29.543254852294922,
278
+ "rewards/rejected": -114.96366119384766,
279
+ "step": 170
280
+ },
281
+ {
282
+ "epoch": 0.141287284144427,
283
+ "grad_norm": 20.82287391215133,
284
+ "learning_rate": 4.97464219500968e-07,
285
+ "logits/chosen": 5749.5283203125,
286
+ "logits/rejected": 4951.72900390625,
287
+ "logps/chosen": -271.42596435546875,
288
+ "logps/rejected": -299.2519836425781,
289
+ "loss": 0.581,
290
+ "rewards/accuracies": 0.6666666865348816,
291
+ "rewards/chosen": -82.89817810058594,
292
+ "rewards/margins": 38.19253158569336,
293
+ "rewards/rejected": -121.09071350097656,
294
+ "step": 180
295
+ },
296
+ {
297
+ "epoch": 0.14913657770800628,
298
+ "grad_norm": 23.06666423712517,
299
+ "learning_rate": 4.963977141895843e-07,
300
+ "logits/chosen": 5846.3857421875,
301
+ "logits/rejected": 4935.0126953125,
302
+ "logps/chosen": -281.0151062011719,
303
+ "logps/rejected": -333.6980895996094,
304
+ "loss": 0.5513,
305
+ "rewards/accuracies": 0.7083333730697632,
306
+ "rewards/chosen": -77.25616455078125,
307
+ "rewards/margins": 65.20240783691406,
308
+ "rewards/rejected": -142.4585723876953,
309
+ "step": 190
310
+ },
311
+ {
312
+ "epoch": 0.15698587127158556,
313
+ "grad_norm": 31.029129327011113,
314
+ "learning_rate": 4.951460519416227e-07,
315
+ "logits/chosen": 5727.984375,
316
+ "logits/rejected": 5259.2265625,
317
+ "logps/chosen": -275.1678771972656,
318
+ "logps/rejected": -342.01458740234375,
319
+ "loss": 0.5495,
320
+ "rewards/accuracies": 0.7416666746139526,
321
+ "rewards/chosen": -92.62359619140625,
322
+ "rewards/margins": 52.71996307373047,
323
+ "rewards/rejected": -145.3435516357422,
324
+ "step": 200
325
+ },
326
+ {
327
+ "epoch": 0.16483516483516483,
328
+ "grad_norm": 37.88663322771198,
329
+ "learning_rate": 4.937101733256606e-07,
330
+ "logits/chosen": 5231.01171875,
331
+ "logits/rejected": 4560.6396484375,
332
+ "logps/chosen": -254.2691650390625,
333
+ "logps/rejected": -308.4845886230469,
334
+ "loss": 0.5518,
335
+ "rewards/accuracies": 0.7083333730697632,
336
+ "rewards/chosen": -100.35588073730469,
337
+ "rewards/margins": 50.94775390625,
338
+ "rewards/rejected": -151.30361938476562,
339
+ "step": 210
340
+ },
341
+ {
342
+ "epoch": 0.1726844583987441,
343
+ "grad_norm": 42.01369994977443,
344
+ "learning_rate": 4.920911573406924e-07,
345
+ "logits/chosen": 6420.0537109375,
346
+ "logits/rejected": 5376.4765625,
347
+ "logps/chosen": -278.9444274902344,
348
+ "logps/rejected": -297.1525573730469,
349
+ "loss": 0.5599,
350
+ "rewards/accuracies": 0.7250000238418579,
351
+ "rewards/chosen": -82.60784149169922,
352
+ "rewards/margins": 50.547996520996094,
353
+ "rewards/rejected": -133.1558380126953,
354
+ "step": 220
355
+ },
356
+ {
357
+ "epoch": 0.18053375196232338,
358
+ "grad_norm": 25.844454826758824,
359
+ "learning_rate": 4.902902206053098e-07,
360
+ "logits/chosen": 5699.75341796875,
361
+ "logits/rejected": 5102.96484375,
362
+ "logps/chosen": -319.3672790527344,
363
+ "logps/rejected": -360.23077392578125,
364
+ "loss": 0.5723,
365
+ "rewards/accuracies": 0.6499999761581421,
366
+ "rewards/chosen": -132.02853393554688,
367
+ "rewards/margins": 48.434696197509766,
368
+ "rewards/rejected": -180.46324157714844,
369
+ "step": 230
370
+ },
371
+ {
372
+ "epoch": 0.18838304552590268,
373
+ "grad_norm": 29.282218573607665,
374
+ "learning_rate": 4.883087164434672e-07,
375
+ "logits/chosen": 5106.5556640625,
376
+ "logits/rejected": 3994.092529296875,
377
+ "logps/chosen": -278.4791259765625,
378
+ "logps/rejected": -328.39215087890625,
379
+ "loss": 0.533,
380
+ "rewards/accuracies": 0.7333333492279053,
381
+ "rewards/chosen": -110.85009765625,
382
+ "rewards/margins": 62.85260009765625,
383
+ "rewards/rejected": -173.7026824951172,
384
+ "step": 240
385
+ },
386
+ {
387
+ "epoch": 0.19623233908948196,
388
+ "grad_norm": 37.575717724945754,
389
+ "learning_rate": 4.861481338675183e-07,
390
+ "logits/chosen": 6079.2392578125,
391
+ "logits/rejected": 5340.40478515625,
392
+ "logps/chosen": -309.59576416015625,
393
+ "logps/rejected": -396.6541748046875,
394
+ "loss": 0.5644,
395
+ "rewards/accuracies": 0.7083333730697632,
396
+ "rewards/chosen": -142.45187377929688,
397
+ "rewards/margins": 69.69562530517578,
398
+ "rewards/rejected": -212.1475067138672,
399
+ "step": 250
400
+ },
401
+ {
402
+ "epoch": 0.20408163265306123,
403
+ "grad_norm": 44.33942565965852,
404
+ "learning_rate": 4.838100964592904e-07,
405
+ "logits/chosen": 6390.5166015625,
406
+ "logits/rejected": 5076.86767578125,
407
+ "logps/chosen": -308.7320861816406,
408
+ "logps/rejected": -331.1741027832031,
409
+ "loss": 0.5705,
410
+ "rewards/accuracies": 0.73333340883255,
411
+ "rewards/chosen": -109.01362609863281,
412
+ "rewards/margins": 55.936485290527344,
413
+ "rewards/rejected": -164.95010375976562,
414
+ "step": 260
415
+ },
416
+ {
417
+ "epoch": 0.2119309262166405,
418
+ "grad_norm": 29.97430714289517,
419
+ "learning_rate": 4.812963611500339e-07,
420
+ "logits/chosen": 6214.26171875,
421
+ "logits/rejected": 5946.75341796875,
422
+ "logps/chosen": -339.47601318359375,
423
+ "logps/rejected": -396.38861083984375,
424
+ "loss": 0.5107,
425
+ "rewards/accuracies": 0.7166666388511658,
426
+ "rewards/chosen": -142.72024536132812,
427
+ "rewards/margins": 65.039306640625,
428
+ "rewards/rejected": -207.759521484375,
429
+ "step": 270
430
+ },
431
+ {
432
+ "epoch": 0.21978021978021978,
433
+ "grad_norm": 47.08219382703758,
434
+ "learning_rate": 4.786088169001671e-07,
435
+ "logits/chosen": 5262.19091796875,
436
+ "logits/rejected": 4504.5078125,
437
+ "logps/chosen": -293.85137939453125,
438
+ "logps/rejected": -405.4297180175781,
439
+ "loss": 0.5107,
440
+ "rewards/accuracies": 0.7750000357627869,
441
+ "rewards/chosen": -130.70046997070312,
442
+ "rewards/margins": 105.42779541015625,
443
+ "rewards/rejected": -236.12826538085938,
444
+ "step": 280
445
+ },
446
+ {
447
+ "epoch": 0.22762951334379905,
448
+ "grad_norm": 39.25768711746996,
449
+ "learning_rate": 4.7574948327980567e-07,
450
+ "logits/chosen": 7399.24462890625,
451
+ "logits/rejected": 5310.9453125,
452
+ "logps/chosen": -376.98614501953125,
453
+ "logps/rejected": -440.69683837890625,
454
+ "loss": 0.5184,
455
+ "rewards/accuracies": 0.7749999761581421,
456
+ "rewards/chosen": -139.95767211914062,
457
+ "rewards/margins": 118.2234115600586,
458
+ "rewards/rejected": -258.18109130859375,
459
+ "step": 290
460
+ },
461
+ {
462
+ "epoch": 0.23547880690737832,
463
+ "grad_norm": 32.01551957274139,
464
+ "learning_rate": 4.727205089511466e-07,
465
+ "logits/chosen": 5341.7978515625,
466
+ "logits/rejected": 5239.494140625,
467
+ "logps/chosen": -307.5780334472656,
468
+ "logps/rejected": -380.02752685546875,
469
+ "loss": 0.5285,
470
+ "rewards/accuracies": 0.7166667580604553,
471
+ "rewards/chosen": -140.1055908203125,
472
+ "rewards/margins": 69.73551940917969,
473
+ "rewards/rejected": -209.84109497070312,
474
+ "step": 300
475
+ },
476
+ {
477
+ "epoch": 0.24332810047095763,
478
+ "grad_norm": 36.5311548558338,
479
+ "learning_rate": 4.6952417005384247e-07,
480
+ "logits/chosen": 5977.44677734375,
481
+ "logits/rejected": 5285.1455078125,
482
+ "logps/chosen": -347.93133544921875,
483
+ "logps/rejected": -407.2039794921875,
484
+ "loss": 0.5447,
485
+ "rewards/accuracies": 0.7250000238418579,
486
+ "rewards/chosen": -170.35064697265625,
487
+ "rewards/margins": 61.38502883911133,
488
+ "rewards/rejected": -231.7356719970703,
489
+ "step": 310
490
+ },
491
+ {
492
+ "epoch": 0.25117739403453687,
493
+ "grad_norm": 24.836157563558828,
494
+ "learning_rate": 4.661628684945851e-07,
495
+ "logits/chosen": 5973.8076171875,
496
+ "logits/rejected": 5104.85986328125,
497
+ "logps/chosen": -428.04632568359375,
498
+ "logps/rejected": -524.1506958007812,
499
+ "loss": 0.538,
500
+ "rewards/accuracies": 0.7083333730697632,
501
+ "rewards/chosen": -226.9893035888672,
502
+ "rewards/margins": 95.14351654052734,
503
+ "rewards/rejected": -322.1328125,
504
+ "step": 320
505
+ },
506
+ {
507
+ "epoch": 0.25902668759811615,
508
+ "grad_norm": 34.391189449326916,
509
+ "learning_rate": 4.626391301421782e-07,
510
+ "logits/chosen": 5795.30419921875,
511
+ "logits/rejected": 5254.41357421875,
512
+ "logps/chosen": -358.1292724609375,
513
+ "logps/rejected": -386.48712158203125,
514
+ "loss": 0.5679,
515
+ "rewards/accuracies": 0.7250000238418579,
516
+ "rewards/chosen": -163.67605590820312,
517
+ "rewards/margins": 45.48824691772461,
518
+ "rewards/rejected": -209.164306640625,
519
+ "step": 330
520
+ },
521
+ {
522
+ "epoch": 0.2668759811616955,
523
+ "grad_norm": 34.684911754380394,
524
+ "learning_rate": 4.5895560292945996e-07,
525
+ "logits/chosen": 6155.42236328125,
526
+ "logits/rejected": 6263.1552734375,
527
+ "logps/chosen": -323.47308349609375,
528
+ "logps/rejected": -405.7562561035156,
529
+ "loss": 0.5567,
530
+ "rewards/accuracies": 0.6833332777023315,
531
+ "rewards/chosen": -129.61480712890625,
532
+ "rewards/margins": 55.77390670776367,
533
+ "rewards/rejected": -185.38870239257812,
534
+ "step": 340
535
+ },
536
+ {
537
+ "epoch": 0.27472527472527475,
538
+ "grad_norm": 38.28433057811818,
539
+ "learning_rate": 4.5511505486349865e-07,
540
+ "logits/chosen": 6514.08740234375,
541
+ "logits/rejected": 5829.73828125,
542
+ "logps/chosen": -400.02203369140625,
543
+ "logps/rejected": -506.1766662597656,
544
+ "loss": 0.5125,
545
+ "rewards/accuracies": 0.7333332896232605,
546
+ "rewards/chosen": -205.19638061523438,
547
+ "rewards/margins": 94.15825653076172,
548
+ "rewards/rejected": -299.3546142578125,
549
+ "step": 350
550
+ },
551
+ {
552
+ "epoch": 0.282574568288854,
553
+ "grad_norm": 39.15174513036286,
554
+ "learning_rate": 4.5112037194555876e-07,
555
+ "logits/chosen": 5991.7646484375,
556
+ "logits/rejected": 5773.1728515625,
557
+ "logps/chosen": -417.256103515625,
558
+ "logps/rejected": -550.4620361328125,
559
+ "loss": 0.5161,
560
+ "rewards/accuracies": 0.7749999761581421,
561
+ "rewards/chosen": -239.33267211914062,
562
+ "rewards/margins": 111.8475112915039,
563
+ "rewards/rejected": -351.1802062988281,
564
+ "step": 360
565
+ },
566
+ {
567
+ "epoch": 0.2904238618524333,
568
+ "grad_norm": 36.339556524034336,
569
+ "learning_rate": 4.4697455600239863e-07,
570
+ "logits/chosen": 5439.48193359375,
571
+ "logits/rejected": 5042.9970703125,
572
+ "logps/chosen": -339.0165100097656,
573
+ "logps/rejected": -390.9417724609375,
574
+ "loss": 0.5421,
575
+ "rewards/accuracies": 0.699999988079071,
576
+ "rewards/chosen": -154.5944366455078,
577
+ "rewards/margins": 68.27628326416016,
578
+ "rewards/rejected": -222.8707275390625,
579
+ "step": 370
580
+ },
581
+ {
582
+ "epoch": 0.29827315541601257,
583
+ "grad_norm": 28.743766561280864,
584
+ "learning_rate": 4.426807224305315e-07,
585
+ "logits/chosen": 6567.15087890625,
586
+ "logits/rejected": 5330.1748046875,
587
+ "logps/chosen": -347.8895568847656,
588
+ "logps/rejected": -393.98114013671875,
589
+ "loss": 0.5169,
590
+ "rewards/accuracies": 0.7916666865348816,
591
+ "rewards/chosen": -119.54854583740234,
592
+ "rewards/margins": 91.42303466796875,
593
+ "rewards/rejected": -210.9715576171875,
594
+ "step": 380
595
+ },
596
+ {
597
+ "epoch": 0.30612244897959184,
598
+ "grad_norm": 44.08545311809245,
599
+ "learning_rate": 4.3824209785514326e-07,
600
+ "logits/chosen": 6613.3876953125,
601
+ "logits/rejected": 4959.18310546875,
602
+ "logps/chosen": -347.82330322265625,
603
+ "logps/rejected": -415.91400146484375,
604
+ "loss": 0.5209,
605
+ "rewards/accuracies": 0.800000011920929,
606
+ "rewards/chosen": -132.32980346679688,
607
+ "rewards/margins": 103.7311019897461,
608
+ "rewards/rejected": -236.06088256835938,
609
+ "step": 390
610
+ },
611
+ {
612
+ "epoch": 0.3139717425431711,
613
+ "grad_norm": 30.048184996812846,
614
+ "learning_rate": 4.3366201770542687e-07,
615
+ "logits/chosen": 5602.64990234375,
616
+ "logits/rejected": 5410.1162109375,
617
+ "logps/chosen": -338.90802001953125,
618
+ "logps/rejected": -418.0364685058594,
619
+ "loss": 0.5462,
620
+ "rewards/accuracies": 0.7500000596046448,
621
+ "rewards/chosen": -148.11941528320312,
622
+ "rewards/margins": 81.17756652832031,
623
+ "rewards/rejected": -229.29696655273438,
624
+ "step": 400
625
+ },
626
+ {
627
+ "epoch": 0.3218210361067504,
628
+ "grad_norm": 77.7552117350084,
629
+ "learning_rate": 4.2894392370815567e-07,
630
+ "logits/chosen": 5912.51806640625,
631
+ "logits/rejected": 5169.0068359375,
632
+ "logps/chosen": -460.01947021484375,
633
+ "logps/rejected": -579.4528198242188,
634
+ "loss": 0.4586,
635
+ "rewards/accuracies": 0.7749999761581421,
636
+ "rewards/chosen": -247.5325927734375,
637
+ "rewards/margins": 123.46797180175781,
638
+ "rewards/rejected": -371.0005798339844,
639
+ "step": 410
640
+ },
641
+ {
642
+ "epoch": 0.32967032967032966,
643
+ "grad_norm": 37.281500617398734,
644
+ "learning_rate": 4.2409136130137845e-07,
645
+ "logits/chosen": 5630.40283203125,
646
+ "logits/rejected": 4971.2314453125,
647
+ "logps/chosen": -461.1824645996094,
648
+ "logps/rejected": -544.41455078125,
649
+ "loss": 0.5151,
650
+ "rewards/accuracies": 0.7250000238418579,
651
+ "rewards/chosen": -257.15252685546875,
652
+ "rewards/margins": 106.0205307006836,
653
+ "rewards/rejected": -363.17303466796875,
654
+ "step": 420
655
+ },
656
+ {
657
+ "epoch": 0.33751962323390894,
658
+ "grad_norm": 34.679660544781555,
659
+ "learning_rate": 4.1910797697018017e-07,
660
+ "logits/chosen": 5597.75390625,
661
+ "logits/rejected": 4594.5517578125,
662
+ "logps/chosen": -325.1379699707031,
663
+ "logps/rejected": -416.49066162109375,
664
+ "loss": 0.5012,
665
+ "rewards/accuracies": 0.8083332777023315,
666
+ "rewards/chosen": -145.3929901123047,
667
+ "rewards/margins": 109.86451721191406,
668
+ "rewards/rejected": -255.2574920654297,
669
+ "step": 430
670
+ },
671
+ {
672
+ "epoch": 0.3453689167974882,
673
+ "grad_norm": 40.341765180642284,
674
+ "learning_rate": 4.1399751550651084e-07,
675
+ "logits/chosen": 5947.8115234375,
676
+ "logits/rejected": 5850.830078125,
677
+ "logps/chosen": -339.18011474609375,
678
+ "logps/rejected": -431.0130920410156,
679
+ "loss": 0.4983,
680
+ "rewards/accuracies": 0.73333340883255,
681
+ "rewards/chosen": -156.7867889404297,
682
+ "rewards/margins": 82.5427017211914,
683
+ "rewards/rejected": -239.32949829101562,
684
+ "step": 440
685
+ },
686
+ {
687
+ "epoch": 0.3532182103610675,
688
+ "grad_norm": 30.929993300128935,
689
+ "learning_rate": 4.087638171951401e-07,
690
+ "logits/chosen": 6869.20166015625,
691
+ "logits/rejected": 4847.29052734375,
692
+ "logps/chosen": -387.536865234375,
693
+ "logps/rejected": -458.99505615234375,
694
+ "loss": 0.4939,
695
+ "rewards/accuracies": 0.7749999761581421,
696
+ "rewards/chosen": -178.76812744140625,
697
+ "rewards/margins": 117.23429870605469,
698
+ "rewards/rejected": -296.00244140625,
699
+ "step": 450
700
+ },
701
+ {
702
+ "epoch": 0.36106750392464676,
703
+ "grad_norm": 29.883628337635034,
704
+ "learning_rate": 4.034108149278543e-07,
705
+ "logits/chosen": 7064.83984375,
706
+ "logits/rejected": 5341.6416015625,
707
+ "logps/chosen": -437.234130859375,
708
+ "logps/rejected": -484.71478271484375,
709
+ "loss": 0.4845,
710
+ "rewards/accuracies": 0.7416666746139526,
711
+ "rewards/chosen": -186.80186462402344,
712
+ "rewards/margins": 107.70491027832031,
713
+ "rewards/rejected": -294.50677490234375,
714
+ "step": 460
715
+ },
716
+ {
717
+ "epoch": 0.36891679748822603,
718
+ "grad_norm": 58.934422959966476,
719
+ "learning_rate": 3.979425312480629e-07,
720
+ "logits/chosen": 6009.6279296875,
721
+ "logits/rejected": 5187.64013671875,
722
+ "logps/chosen": -414.41827392578125,
723
+ "logps/rejected": -517.0603637695312,
724
+ "loss": 0.5218,
725
+ "rewards/accuracies": 0.7666667699813843,
726
+ "rewards/chosen": -202.15353393554688,
727
+ "rewards/margins": 112.3405532836914,
728
+ "rewards/rejected": -314.49407958984375,
729
+ "step": 470
730
+ },
731
+ {
732
+ "epoch": 0.37676609105180536,
733
+ "grad_norm": 31.016219727020395,
734
+ "learning_rate": 3.923630753280357e-07,
735
+ "logits/chosen": 6505.29052734375,
736
+ "logits/rejected": 5481.3720703125,
737
+ "logps/chosen": -350.8402099609375,
738
+ "logps/rejected": -435.69970703125,
739
+ "loss": 0.4858,
740
+ "rewards/accuracies": 0.7833333611488342,
741
+ "rewards/chosen": -143.44503784179688,
742
+ "rewards/margins": 117.8589096069336,
743
+ "rewards/rejected": -261.303955078125,
744
+ "step": 480
745
+ },
746
+ {
747
+ "epoch": 0.38461538461538464,
748
+ "grad_norm": 36.442966867491265,
749
+ "learning_rate": 3.866766398810424e-07,
750
+ "logits/chosen": 6063.09228515625,
751
+ "logits/rejected": 5686.6787109375,
752
+ "logps/chosen": -305.1843566894531,
753
+ "logps/rejected": -449.0945739746094,
754
+ "loss": 0.4552,
755
+ "rewards/accuracies": 0.8166667222976685,
756
+ "rewards/chosen": -128.57583618164062,
757
+ "rewards/margins": 118.49446105957031,
758
+ "rewards/rejected": -247.0703125,
759
+ "step": 490
760
+ },
761
+ {
762
+ "epoch": 0.3924646781789639,
763
+ "grad_norm": 44.1212055718621,
764
+ "learning_rate": 3.8088749801071496e-07,
765
+ "logits/chosen": 6434.88427734375,
766
+ "logits/rejected": 4857.001953125,
767
+ "logps/chosen": -451.16497802734375,
768
+ "logps/rejected": -550.4376220703125,
769
+ "loss": 0.5046,
770
+ "rewards/accuracies": 0.7500000596046448,
771
+ "rewards/chosen": -229.2113494873047,
772
+ "rewards/margins": 118.71003723144531,
773
+ "rewards/rejected": -347.9213562011719,
774
+ "step": 500
775
+ },
776
+ {
777
+ "epoch": 0.4003139717425432,
778
+ "grad_norm": 36.14821373319329,
779
+ "learning_rate": 3.75e-07,
780
+ "logits/chosen": 5300.0185546875,
781
+ "logits/rejected": 4575.1767578125,
782
+ "logps/chosen": -336.89031982421875,
783
+ "logps/rejected": -440.952880859375,
784
+ "loss": 0.4831,
785
+ "rewards/accuracies": 0.7916667461395264,
786
+ "rewards/chosen": -147.4073486328125,
787
+ "rewards/margins": 127.1801986694336,
788
+ "rewards/rejected": -274.5875549316406,
789
+ "step": 510
790
+ },
791
+ {
792
+ "epoch": 0.40816326530612246,
793
+ "grad_norm": 34.73068121704461,
794
+ "learning_rate": 3.6901857004211443e-07,
795
+ "logits/chosen": 5561.93115234375,
796
+ "logits/rejected": 5117.68359375,
797
+ "logps/chosen": -353.75140380859375,
798
+ "logps/rejected": -444.4190368652344,
799
+ "loss": 0.5383,
800
+ "rewards/accuracies": 0.7250000238418579,
801
+ "rewards/chosen": -155.285400390625,
802
+ "rewards/margins": 93.34559631347656,
803
+ "rewards/rejected": -248.63101196289062,
804
+ "step": 520
805
+ },
806
+ {
807
+ "epoch": 0.41601255886970173,
808
+ "grad_norm": 44.19977871917114,
809
+ "learning_rate": 3.6294770291596076e-07,
810
+ "logits/chosen": 6318.544921875,
811
+ "logits/rejected": 5086.34619140625,
812
+ "logps/chosen": -359.4892578125,
813
+ "logps/rejected": -433.3750915527344,
814
+ "loss": 0.4611,
815
+ "rewards/accuracies": 0.7583333253860474,
816
+ "rewards/chosen": -146.56655883789062,
817
+ "rewards/margins": 88.04823303222656,
818
+ "rewards/rejected": -234.6147918701172,
819
+ "step": 530
820
+ },
821
+ {
822
+ "epoch": 0.423861852433281,
823
+ "grad_norm": 70.50902921574644,
824
+ "learning_rate": 3.5679196060850034e-07,
825
+ "logits/chosen": 5973.2431640625,
826
+ "logits/rejected": 5245.2939453125,
827
+ "logps/chosen": -409.8734436035156,
828
+ "logps/rejected": -506.63018798828125,
829
+ "loss": 0.5026,
830
+ "rewards/accuracies": 0.7666667103767395,
831
+ "rewards/chosen": -199.05563354492188,
832
+ "rewards/margins": 119.3356704711914,
833
+ "rewards/rejected": -318.39129638671875,
834
+ "step": 540
835
+ },
836
+ {
837
+ "epoch": 0.4317111459968603,
838
+ "grad_norm": 39.47957029483566,
839
+ "learning_rate": 3.505559688866229e-07,
840
+ "logits/chosen": 5781.47998046875,
841
+ "logits/rejected": 5275.9345703125,
842
+ "logps/chosen": -416.6446228027344,
843
+ "logps/rejected": -550.93994140625,
844
+ "loss": 0.5,
845
+ "rewards/accuracies": 0.7166666388511658,
846
+ "rewards/chosen": -201.9041290283203,
847
+ "rewards/margins": 123.97164154052734,
848
+ "rewards/rejected": -325.87579345703125,
849
+ "step": 550
850
+ },
851
+ {
852
+ "epoch": 0.43956043956043955,
853
+ "grad_norm": 37.37283391011429,
854
+ "learning_rate": 3.4424441382108826e-07,
855
+ "logits/chosen": 5830.35400390625,
856
+ "logits/rejected": 5423.10205078125,
857
+ "logps/chosen": -378.4039001464844,
858
+ "logps/rejected": -449.105224609375,
859
+ "loss": 0.5029,
860
+ "rewards/accuracies": 0.7500000596046448,
861
+ "rewards/chosen": -175.1286163330078,
862
+ "rewards/margins": 80.7674331665039,
863
+ "rewards/rejected": -255.8960418701172,
864
+ "step": 560
865
+ },
866
+ {
867
+ "epoch": 0.4474097331240188,
868
+ "grad_norm": 49.04946952588071,
869
+ "learning_rate": 3.378620382651523e-07,
870
+ "logits/chosen": 6153.337890625,
871
+ "logits/rejected": 5623.0244140625,
872
+ "logps/chosen": -418.72265625,
873
+ "logps/rejected": -508.38360595703125,
874
+ "loss": 0.4578,
875
+ "rewards/accuracies": 0.7833333611488342,
876
+ "rewards/chosen": -175.76278686523438,
877
+ "rewards/margins": 108.85029602050781,
878
+ "rewards/rejected": -284.61309814453125,
879
+ "step": 570
880
+ },
881
+ {
882
+ "epoch": 0.4552590266875981,
883
+ "grad_norm": 94.33653526750568,
884
+ "learning_rate": 3.314136382905234e-07,
885
+ "logits/chosen": 6112.7822265625,
886
+ "logits/rejected": 5336.7802734375,
887
+ "logps/chosen": -423.475830078125,
888
+ "logps/rejected": -605.2233276367188,
889
+ "loss": 0.4958,
890
+ "rewards/accuracies": 0.8166667222976685,
891
+ "rewards/chosen": -211.06033325195312,
892
+ "rewards/margins": 180.85171508789062,
893
+ "rewards/rejected": -391.9119873046875,
894
+ "step": 580
895
+ },
896
+ {
897
+ "epoch": 0.4631083202511774,
898
+ "grad_norm": 46.07179128100825,
899
+ "learning_rate": 3.249040595833274e-07,
900
+ "logits/chosen": 6558.09912109375,
901
+ "logits/rejected": 5384.94921875,
902
+ "logps/chosen": -469.80859375,
903
+ "logps/rejected": -568.242431640625,
904
+ "loss": 0.4856,
905
+ "rewards/accuracies": 0.7750000953674316,
906
+ "rewards/chosen": -238.0826873779297,
907
+ "rewards/margins": 151.30084228515625,
908
+ "rewards/rejected": -389.383544921875,
909
+ "step": 590
910
+ },
911
+ {
912
+ "epoch": 0.47095761381475665,
913
+ "grad_norm": 42.06146787509943,
914
+ "learning_rate": 3.1833819380279023e-07,
915
+ "logits/chosen": 6262.25048828125,
916
+ "logits/rejected": 5278.5048828125,
917
+ "logps/chosen": -404.83843994140625,
918
+ "logps/rejected": -520.1326904296875,
919
+ "loss": 0.4632,
920
+ "rewards/accuracies": 0.800000011920929,
921
+ "rewards/chosen": -227.29013061523438,
922
+ "rewards/margins": 103.1563491821289,
923
+ "rewards/rejected": -330.44647216796875,
924
+ "step": 600
925
+ },
926
+ {
927
+ "epoch": 0.478806907378336,
928
+ "grad_norm": 31.484334771440416,
929
+ "learning_rate": 3.11720974905373e-07,
930
+ "logits/chosen": 6018.0908203125,
931
+ "logits/rejected": 5167.93212890625,
932
+ "logps/chosen": -411.90301513671875,
933
+ "logps/rejected": -502.0513610839844,
934
+ "loss": 0.4703,
935
+ "rewards/accuracies": 0.7916666865348816,
936
+ "rewards/chosen": -205.784912109375,
937
+ "rewards/margins": 110.84388732910156,
938
+ "rewards/rejected": -316.6288146972656,
939
+ "step": 610
940
+ },
941
+ {
942
+ "epoch": 0.48665620094191525,
943
+ "grad_norm": 40.57964943811314,
944
+ "learning_rate": 3.0505737543712275e-07,
945
+ "logits/chosen": 5053.2783203125,
946
+ "logits/rejected": 4076.49755859375,
947
+ "logps/chosen": -406.8768615722656,
948
+ "logps/rejected": -493.7144470214844,
949
+ "loss": 0.4557,
950
+ "rewards/accuracies": 0.7583333253860474,
951
+ "rewards/chosen": -223.1182098388672,
952
+ "rewards/margins": 109.49735260009766,
953
+ "rewards/rejected": -332.6156005859375,
954
+ "step": 620
955
+ },
956
+ {
957
+ "epoch": 0.4945054945054945,
958
+ "grad_norm": 56.606856997079554,
959
+ "learning_rate": 2.9835240279702513e-07,
960
+ "logits/chosen": 6577.0849609375,
961
+ "logits/rejected": 5469.5419921875,
962
+ "logps/chosen": -429.1509704589844,
963
+ "logps/rejected": -543.3411865234375,
964
+ "loss": 0.4772,
965
+ "rewards/accuracies": 0.7916666865348816,
966
+ "rewards/chosen": -186.3350067138672,
967
+ "rewards/margins": 162.75811767578125,
968
+ "rewards/rejected": -349.0931091308594,
969
+ "step": 630
970
+ },
971
+ {
972
+ "epoch": 0.5023547880690737,
973
+ "grad_norm": 35.9805606899344,
974
+ "learning_rate": 2.9161109547416667e-07,
975
+ "logits/chosen": 6271.7060546875,
976
+ "logits/rejected": 5318.08642578125,
977
+ "logps/chosen": -397.3316955566406,
978
+ "logps/rejected": -479.34515380859375,
979
+ "loss": 0.4884,
980
+ "rewards/accuracies": 0.6833333373069763,
981
+ "rewards/chosen": -186.57015991210938,
982
+ "rewards/margins": 78.26607513427734,
983
+ "rewards/rejected": -264.83624267578125,
984
+ "step": 640
985
+ },
986
+ {
987
+ "epoch": 0.5102040816326531,
988
+ "grad_norm": 34.871832333344074,
989
+ "learning_rate": 2.848385192615339e-07,
990
+ "logits/chosen": 5367.185546875,
991
+ "logits/rejected": 4309.45849609375,
992
+ "logps/chosen": -358.45416259765625,
993
+ "logps/rejected": -419.9345703125,
994
+ "loss": 0.4945,
995
+ "rewards/accuracies": 0.7666667699813843,
996
+ "rewards/chosen": -162.11483764648438,
997
+ "rewards/margins": 89.09200286865234,
998
+ "rewards/rejected": -251.20681762695312,
999
+ "step": 650
1000
+ },
1001
+ {
1002
+ "epoch": 0.5180533751962323,
1003
+ "grad_norm": 39.39801396782938,
1004
+ "learning_rate": 2.780397634492949e-07,
1005
+ "logits/chosen": 6041.53271484375,
1006
+ "logits/rejected": 4703.71630859375,
1007
+ "logps/chosen": -375.4960632324219,
1008
+ "logps/rejected": -476.72589111328125,
1009
+ "loss": 0.4947,
1010
+ "rewards/accuracies": 0.8333333730697632,
1011
+ "rewards/chosen": -158.10952758789062,
1012
+ "rewards/margins": 130.66891479492188,
1013
+ "rewards/rejected": -288.7784118652344,
1014
+ "step": 660
1015
+ },
1016
+ {
1017
+ "epoch": 0.5259026687598116,
1018
+ "grad_norm": 48.84168885678772,
1019
+ "learning_rate": 2.71219937000424e-07,
1020
+ "logits/chosen": 6018.71875,
1021
+ "logits/rejected": 4880.6767578125,
1022
+ "logps/chosen": -379.6583557128906,
1023
+ "logps/rejected": -462.1537170410156,
1024
+ "loss": 0.49,
1025
+ "rewards/accuracies": 0.7666667103767395,
1026
+ "rewards/chosen": -172.89889526367188,
1027
+ "rewards/margins": 100.40042114257812,
1028
+ "rewards/rejected": -273.29931640625,
1029
+ "step": 670
1030
+ },
1031
+ {
1032
+ "epoch": 0.533751962323391,
1033
+ "grad_norm": 39.27542708497692,
1034
+ "learning_rate": 2.6438416471154273e-07,
1035
+ "logits/chosen": 5836.3828125,
1036
+ "logits/rejected": 4801.5009765625,
1037
+ "logps/chosen": -418.82611083984375,
1038
+ "logps/rejected": -494.9725646972656,
1039
+ "loss": 0.4909,
1040
+ "rewards/accuracies": 0.7333333492279053,
1041
+ "rewards/chosen": -205.16482543945312,
1042
+ "rewards/margins": 110.58109283447266,
1043
+ "rewards/rejected": -315.74591064453125,
1044
+ "step": 680
1045
+ },
1046
+ {
1047
+ "epoch": 0.5416012558869702,
1048
+ "grad_norm": 43.52413484751011,
1049
+ "learning_rate": 2.5753758336186326e-07,
1050
+ "logits/chosen": 5802.99755859375,
1051
+ "logits/rejected": 5239.9482421875,
1052
+ "logps/chosen": -400.54742431640625,
1053
+ "logps/rejected": -530.6510620117188,
1054
+ "loss": 0.4365,
1055
+ "rewards/accuracies": 0.7750000357627869,
1056
+ "rewards/chosen": -191.44097900390625,
1057
+ "rewards/margins": 123.01344299316406,
1058
+ "rewards/rejected": -314.45440673828125,
1059
+ "step": 690
1060
+ },
1061
+ {
1062
+ "epoch": 0.5494505494505495,
1063
+ "grad_norm": 33.98315744252712,
1064
+ "learning_rate": 2.5068533785312666e-07,
1065
+ "logits/chosen": 5513.54345703125,
1066
+ "logits/rejected": 5237.0107421875,
1067
+ "logps/chosen": -386.1233825683594,
1068
+ "logps/rejected": -490.634765625,
1069
+ "loss": 0.5316,
1070
+ "rewards/accuracies": 0.7416666746139526,
1071
+ "rewards/chosen": -196.86312866210938,
1072
+ "rewards/margins": 106.7976303100586,
1073
+ "rewards/rejected": -303.6607666015625,
1074
+ "step": 700
1075
+ },
1076
+ {
1077
+ "epoch": 0.5572998430141287,
1078
+ "grad_norm": 30.243640938966188,
1079
+ "learning_rate": 2.4383257734343794e-07,
1080
+ "logits/chosen": 5436.87890625,
1081
+ "logits/rejected": 5391.3916015625,
1082
+ "logps/chosen": -381.4007263183594,
1083
+ "logps/rejected": -502.94976806640625,
1084
+ "loss": 0.4477,
1085
+ "rewards/accuracies": 0.7416667342185974,
1086
+ "rewards/chosen": -187.48939514160156,
1087
+ "rewards/margins": 112.8396987915039,
1088
+ "rewards/rejected": -300.3290710449219,
1089
+ "step": 710
1090
+ },
1091
+ {
1092
+ "epoch": 0.565149136577708,
1093
+ "grad_norm": 46.01339742325359,
1094
+ "learning_rate": 2.3698445137790258e-07,
1095
+ "logits/chosen": 5853.4052734375,
1096
+ "logits/rejected": 4926.12451171875,
1097
+ "logps/chosen": -404.26129150390625,
1098
+ "logps/rejected": -511.4066467285156,
1099
+ "loss": 0.4704,
1100
+ "rewards/accuracies": 0.7250000238418579,
1101
+ "rewards/chosen": -185.25808715820312,
1102
+ "rewards/margins": 126.38338470458984,
1103
+ "rewards/rejected": -311.6414489746094,
1104
+ "step": 720
1105
+ },
1106
+ {
1107
+ "epoch": 0.5729984301412873,
1108
+ "grad_norm": 40.29946581755717,
1109
+ "learning_rate": 2.3014610601897157e-07,
1110
+ "logits/chosen": 6333.9560546875,
1111
+ "logits/rejected": 4724.59375,
1112
+ "logps/chosen": -436.6024475097656,
1113
+ "logps/rejected": -527.5242309570312,
1114
+ "loss": 0.4807,
1115
+ "rewards/accuracies": 0.8166667819023132,
1116
+ "rewards/chosen": -211.45657348632812,
1117
+ "rewards/margins": 140.99398803710938,
1118
+ "rewards/rejected": -352.4505310058594,
1119
+ "step": 730
1120
+ },
1121
+ {
1122
+ "epoch": 0.5808477237048666,
1123
+ "grad_norm": 35.09618871465884,
1124
+ "learning_rate": 2.2332267997940513e-07,
1125
+ "logits/chosen": 5268.6943359375,
1126
+ "logits/rejected": 4408.31884765625,
1127
+ "logps/chosen": -383.2336120605469,
1128
+ "logps/rejected": -467.2831115722656,
1129
+ "loss": 0.4572,
1130
+ "rewards/accuracies": 0.75,
1131
+ "rewards/chosen": -190.80917358398438,
1132
+ "rewards/margins": 113.82789611816406,
1133
+ "rewards/rejected": -304.6370544433594,
1134
+ "step": 740
1135
+ },
1136
+ {
1137
+ "epoch": 0.5886970172684458,
1138
+ "grad_norm": 36.837604192303694,
1139
+ "learning_rate": 2.1651930076075723e-07,
1140
+ "logits/chosen": 5756.14599609375,
1141
+ "logits/rejected": 5088.453125,
1142
+ "logps/chosen": -394.97528076171875,
1143
+ "logps/rejected": -478.40118408203125,
1144
+ "loss": 0.5016,
1145
+ "rewards/accuracies": 0.7416666746139526,
1146
+ "rewards/chosen": -214.54934692382812,
1147
+ "rewards/margins": 96.75755310058594,
1148
+ "rewards/rejected": -311.3069152832031,
1149
+ "step": 750
1150
+ },
1151
+ {
1152
+ "epoch": 0.5965463108320251,
1153
+ "grad_norm": 39.413179562791,
1154
+ "learning_rate": 2.0974108080028692e-07,
1155
+ "logits/chosen": 6044.30517578125,
1156
+ "logits/rejected": 4663.25537109375,
1157
+ "logps/chosen": -399.56536865234375,
1158
+ "logps/rejected": -481.95721435546875,
1159
+ "loss": 0.4806,
1160
+ "rewards/accuracies": 0.7583333253860474,
1161
+ "rewards/chosen": -196.31442260742188,
1162
+ "rewards/margins": 111.11234283447266,
1163
+ "rewards/rejected": -307.4267578125,
1164
+ "step": 760
1165
+ },
1166
+ {
1167
+ "epoch": 0.6043956043956044,
1168
+ "grad_norm": 40.397104252103794,
1169
+ "learning_rate": 2.0299311362918773e-07,
1170
+ "logits/chosen": 6256.640625,
1171
+ "logits/rejected": 5291.82177734375,
1172
+ "logps/chosen": -435.7190856933594,
1173
+ "logps/rejected": -538.2561645507812,
1174
+ "loss": 0.5111,
1175
+ "rewards/accuracies": 0.7416666746139526,
1176
+ "rewards/chosen": -205.9853973388672,
1177
+ "rewards/margins": 108.4106216430664,
1178
+ "rewards/rejected": -314.3960266113281,
1179
+ "step": 770
1180
+ },
1181
+ {
1182
+ "epoch": 0.6122448979591837,
1183
+ "grad_norm": 37.45559651112722,
1184
+ "learning_rate": 1.962804700450265e-07,
1185
+ "logits/chosen": 6063.8310546875,
1186
+ "logits/rejected": 5724.30517578125,
1187
+ "logps/chosen": -429.6410217285156,
1188
+ "logps/rejected": -548.0647583007812,
1189
+ "loss": 0.4863,
1190
+ "rewards/accuracies": 0.7583333253860474,
1191
+ "rewards/chosen": -213.5356903076172,
1192
+ "rewards/margins": 97.14134216308594,
1193
+ "rewards/rejected": -310.6770324707031,
1194
+ "step": 780
1195
+ },
1196
+ {
1197
+ "epoch": 0.6200941915227629,
1198
+ "grad_norm": 52.85538657955723,
1199
+ "learning_rate": 1.8960819430126334e-07,
1200
+ "logits/chosen": 5658.54541015625,
1201
+ "logits/rejected": 4938.47412109375,
1202
+ "logps/chosen": -424.3460998535156,
1203
+ "logps/rejected": -543.2542114257812,
1204
+ "loss": 0.4614,
1205
+ "rewards/accuracies": 0.8000000715255737,
1206
+ "rewards/chosen": -226.21511840820312,
1207
+ "rewards/margins": 128.44137573242188,
1208
+ "rewards/rejected": -354.6564636230469,
1209
+ "step": 790
1210
+ },
1211
+ {
1212
+ "epoch": 0.6279434850863422,
1213
+ "grad_norm": 50.74254631794456,
1214
+ "learning_rate": 1.8298130031671972e-07,
1215
+ "logits/chosen": 5633.2216796875,
1216
+ "logits/rejected": 4882.5830078125,
1217
+ "logps/chosen": -427.47760009765625,
1218
+ "logps/rejected": -522.7330322265625,
1219
+ "loss": 0.495,
1220
+ "rewards/accuracies": 0.7749999761581421,
1221
+ "rewards/chosen": -210.75479125976562,
1222
+ "rewards/margins": 99.28005981445312,
1223
+ "rewards/rejected": -310.03485107421875,
1224
+ "step": 800
1225
+ },
1226
+ {
1227
+ "epoch": 0.6357927786499215,
1228
+ "grad_norm": 45.059226269516955,
1229
+ "learning_rate": 1.7640476790784075e-07,
1230
+ "logits/chosen": 5210.11083984375,
1231
+ "logits/rejected": 4571.79443359375,
1232
+ "logps/chosen": -389.7716979980469,
1233
+ "logps/rejected": -539.739013671875,
1234
+ "loss": 0.4823,
1235
+ "rewards/accuracies": 0.7750000357627869,
1236
+ "rewards/chosen": -187.3163299560547,
1237
+ "rewards/margins": 131.12542724609375,
1238
+ "rewards/rejected": -318.4417724609375,
1239
+ "step": 810
1240
+ },
1241
+ {
1242
+ "epoch": 0.6436420722135008,
1243
+ "grad_norm": 48.50628289552426,
1244
+ "learning_rate": 1.6988353904658492e-07,
1245
+ "logits/chosen": 5731.3525390625,
1246
+ "logits/rejected": 4333.7529296875,
1247
+ "logps/chosen": -404.9086608886719,
1248
+ "logps/rejected": -458.85113525390625,
1249
+ "loss": 0.4789,
1250
+ "rewards/accuracies": 0.7749999761581421,
1251
+ "rewards/chosen": -183.69412231445312,
1252
+ "rewards/margins": 106.46870422363281,
1253
+ "rewards/rejected": -290.16278076171875,
1254
+ "step": 820
1255
+ },
1256
+ {
1257
+ "epoch": 0.6514913657770801,
1258
+ "grad_norm": 59.957195459974976,
1259
+ "learning_rate": 1.634225141467513e-07,
1260
+ "logits/chosen": 5635.3466796875,
1261
+ "logits/rejected": 4940.11083984375,
1262
+ "logps/chosen": -384.6611633300781,
1263
+ "logps/rejected": -507.66693115234375,
1264
+ "loss": 0.467,
1265
+ "rewards/accuracies": 0.7666667699813843,
1266
+ "rewards/chosen": -180.47512817382812,
1267
+ "rewards/margins": 134.7369842529297,
1268
+ "rewards/rejected": -315.21209716796875,
1269
+ "step": 830
1270
+ },
1271
+ {
1272
+ "epoch": 0.6593406593406593,
1273
+ "grad_norm": 34.412374941580325,
1274
+ "learning_rate": 1.570265483815364e-07,
1275
+ "logits/chosen": 6203.7373046875,
1276
+ "logits/rejected": 4987.412109375,
1277
+ "logps/chosen": -412.3932189941406,
1278
+ "logps/rejected": -513.5062255859375,
1279
+ "loss": 0.4826,
1280
+ "rewards/accuracies": 0.75,
1281
+ "rewards/chosen": -185.06338500976562,
1282
+ "rewards/margins": 115.64961242675781,
1283
+ "rewards/rejected": -300.7129821777344,
1284
+ "step": 840
1285
+ },
1286
+ {
1287
+ "epoch": 0.6671899529042387,
1288
+ "grad_norm": 30.134253695911486,
1289
+ "learning_rate": 1.5070044803508691e-07,
1290
+ "logits/chosen": 5716.025390625,
1291
+ "logits/rejected": 5034.046875,
1292
+ "logps/chosen": -400.2481689453125,
1293
+ "logps/rejected": -516.7728271484375,
1294
+ "loss": 0.4309,
1295
+ "rewards/accuracies": 0.7749999761581421,
1296
+ "rewards/chosen": -184.7707061767578,
1297
+ "rewards/margins": 131.54672241210938,
1298
+ "rewards/rejected": -316.31744384765625,
1299
+ "step": 850
1300
+ },
1301
+ {
1302
+ "epoch": 0.6750392464678179,
1303
+ "grad_norm": 71.61040491654043,
1304
+ "learning_rate": 1.444489668907914e-07,
1305
+ "logits/chosen": 6135.0205078125,
1306
+ "logits/rejected": 5152.2236328125,
1307
+ "logps/chosen": -430.4107971191406,
1308
+ "logps/rejected": -490.52587890625,
1309
+ "loss": 0.5146,
1310
+ "rewards/accuracies": 0.7583333253860474,
1311
+ "rewards/chosen": -182.64016723632812,
1312
+ "rewards/margins": 105.2038803100586,
1313
+ "rewards/rejected": -287.8440246582031,
1314
+ "step": 860
1315
+ },
1316
+ {
1317
+ "epoch": 0.6828885400313972,
1318
+ "grad_norm": 38.330063763060664,
1319
+ "learning_rate": 1.3827680265902232e-07,
1320
+ "logits/chosen": 6143.13037109375,
1321
+ "logits/rejected": 5013.3056640625,
1322
+ "logps/chosen": -382.94140625,
1323
+ "logps/rejected": -460.19561767578125,
1324
+ "loss": 0.4819,
1325
+ "rewards/accuracies": 0.75,
1326
+ "rewards/chosen": -152.84469604492188,
1327
+ "rewards/margins": 106.6620101928711,
1328
+ "rewards/rejected": -259.5067138671875,
1329
+ "step": 870
1330
+ },
1331
+ {
1332
+ "epoch": 0.6907378335949764,
1333
+ "grad_norm": 41.567998903722,
1334
+ "learning_rate": 1.3218859344701632e-07,
1335
+ "logits/chosen": 5396.58203125,
1336
+ "logits/rejected": 5105.16162109375,
1337
+ "logps/chosen": -355.2163391113281,
1338
+ "logps/rejected": -475.17144775390625,
1339
+ "loss": 0.4895,
1340
+ "rewards/accuracies": 0.7666666507720947,
1341
+ "rewards/chosen": -144.70535278320312,
1342
+ "rewards/margins": 98.8769302368164,
1343
+ "rewards/rejected": -243.58230590820312,
1344
+ "step": 880
1345
+ },
1346
+ {
1347
+ "epoch": 0.6985871271585558,
1348
+ "grad_norm": 39.34000807890869,
1349
+ "learning_rate": 1.2618891427354172e-07,
1350
+ "logits/chosen": 6391.68212890625,
1351
+ "logits/rejected": 5117.5263671875,
1352
+ "logps/chosen": -394.2801818847656,
1353
+ "logps/rejected": -469.7091369628906,
1354
+ "loss": 0.5119,
1355
+ "rewards/accuracies": 0.824999988079071,
1356
+ "rewards/chosen": -136.68411254882812,
1357
+ "rewards/margins": 121.24452209472656,
1358
+ "rewards/rejected": -257.92864990234375,
1359
+ "step": 890
1360
+ },
1361
+ {
1362
+ "epoch": 0.706436420722135,
1363
+ "grad_norm": 36.48251928336004,
1364
+ "learning_rate": 1.202822736309758e-07,
1365
+ "logits/chosen": 5414.578125,
1366
+ "logits/rejected": 4911.3544921875,
1367
+ "logps/chosen": -353.97259521484375,
1368
+ "logps/rejected": -468.9820861816406,
1369
+ "loss": 0.4823,
1370
+ "rewards/accuracies": 0.7166666984558105,
1371
+ "rewards/chosen": -149.62339782714844,
1372
+ "rewards/margins": 108.9285659790039,
1373
+ "rewards/rejected": -258.55194091796875,
1374
+ "step": 900
1375
+ },
1376
+ {
1377
+ "epoch": 0.7142857142857143,
1378
+ "grad_norm": 46.978740435502594,
1379
+ "learning_rate": 1.1447311009737299e-07,
1380
+ "logits/chosen": 5314.3134765625,
1381
+ "logits/rejected": 4948.3134765625,
1382
+ "logps/chosen": -380.0970153808594,
1383
+ "logps/rejected": -501.011474609375,
1384
+ "loss": 0.4985,
1385
+ "rewards/accuracies": 0.8083333969116211,
1386
+ "rewards/chosen": -171.8706817626953,
1387
+ "rewards/margins": 121.21226501464844,
1388
+ "rewards/rejected": -293.08294677734375,
1389
+ "step": 910
1390
+ },
1391
+ {
1392
+ "epoch": 0.7221350078492935,
1393
+ "grad_norm": 35.760451689940645,
1394
+ "learning_rate": 1.0876578900107053e-07,
1395
+ "logits/chosen": 5861.857421875,
1396
+ "logits/rejected": 4804.310546875,
1397
+ "logps/chosen": -409.1855773925781,
1398
+ "logps/rejected": -478.6873474121094,
1399
+ "loss": 0.4748,
1400
+ "rewards/accuracies": 0.7749999761581421,
1401
+ "rewards/chosen": -176.7639617919922,
1402
+ "rewards/margins": 103.78104400634766,
1403
+ "rewards/rejected": -280.5450134277344,
1404
+ "step": 920
1405
+ },
1406
+ {
1407
+ "epoch": 0.7299843014128728,
1408
+ "grad_norm": 29.863070324852274,
1409
+ "learning_rate": 1.0316459914033793e-07,
1410
+ "logits/chosen": 5825.48583984375,
1411
+ "logits/rejected": 4247.2919921875,
1412
+ "logps/chosen": -410.54364013671875,
1413
+ "logps/rejected": -485.8194885253906,
1414
+ "loss": 0.4602,
1415
+ "rewards/accuracies": 0.8083333969116211,
1416
+ "rewards/chosen": -174.55471801757812,
1417
+ "rewards/margins": 125.3405990600586,
1418
+ "rewards/rejected": -299.8953552246094,
1419
+ "step": 930
1420
+ },
1421
+ {
1422
+ "epoch": 0.7378335949764521,
1423
+ "grad_norm": 36.61595465244159,
1424
+ "learning_rate": 9.767374956053584e-08,
1425
+ "logits/chosen": 5624.4267578125,
1426
+ "logits/rejected": 4830.0751953125,
1427
+ "logps/chosen": -399.4177551269531,
1428
+ "logps/rejected": -526.2559814453125,
1429
+ "loss": 0.4769,
1430
+ "rewards/accuracies": 0.783333420753479,
1431
+ "rewards/chosen": -181.1240997314453,
1432
+ "rewards/margins": 140.15200805664062,
1433
+ "rewards/rejected": -321.2760925292969,
1434
+ "step": 940
1435
+ },
1436
+ {
1437
+ "epoch": 0.7456828885400314,
1438
+ "grad_norm": 35.91269585264287,
1439
+ "learning_rate": 9.229736639120561e-08,
1440
+ "logits/chosen": 5792.27490234375,
1441
+ "logits/rejected": 5271.419921875,
1442
+ "logps/chosen": -408.3707580566406,
1443
+ "logps/rejected": -491.8653869628906,
1444
+ "loss": 0.5214,
1445
+ "rewards/accuracies": 0.7333333492279053,
1446
+ "rewards/chosen": -190.569580078125,
1447
+ "rewards/margins": 87.141357421875,
1448
+ "rewards/rejected": -277.7109069824219,
1449
+ "step": 950
1450
+ },
1451
+ {
1452
+ "epoch": 0.7535321821036107,
1453
+ "grad_norm": 46.49700668088038,
1454
+ "learning_rate": 8.70394897454659e-08,
1455
+ "logits/chosen": 5691.83203125,
1456
+ "logits/rejected": 4979.69677734375,
1457
+ "logps/chosen": -381.69927978515625,
1458
+ "logps/rejected": -483.9689025878906,
1459
+ "loss": 0.4743,
1460
+ "rewards/accuracies": 0.8166667222976685,
1461
+ "rewards/chosen": -163.27085876464844,
1462
+ "rewards/margins": 118.2216796875,
1463
+ "rewards/rejected": -281.4925537109375,
1464
+ "step": 960
1465
+ },
1466
+ {
1467
+ "epoch": 0.7613814756671899,
1468
+ "grad_norm": 44.80668878466769,
1469
+ "learning_rate": 8.19040706840472e-08,
1470
+ "logits/chosen": 5775.78515625,
1471
+ "logits/rejected": 4756.72509765625,
1472
+ "logps/chosen": -418.36865234375,
1473
+ "logps/rejected": -506.94171142578125,
1474
+ "loss": 0.478,
1475
+ "rewards/accuracies": 0.7166666388511658,
1476
+ "rewards/chosen": -178.1486358642578,
1477
+ "rewards/margins": 122.10249328613281,
1478
+ "rewards/rejected": -300.2511291503906,
1479
+ "step": 970
1480
+ },
1481
+ {
1482
+ "epoch": 0.7692307692307693,
1483
+ "grad_norm": 126.24912978264581,
1484
+ "learning_rate": 7.689496824624525e-08,
1485
+ "logits/chosen": 5510.98681640625,
1486
+ "logits/rejected": 4350.1923828125,
1487
+ "logps/chosen": -398.0511169433594,
1488
+ "logps/rejected": -495.3601989746094,
1489
+ "loss": 0.4457,
1490
+ "rewards/accuracies": 0.7750000357627869,
1491
+ "rewards/chosen": -169.2345428466797,
1492
+ "rewards/margins": 135.63201904296875,
1493
+ "rewards/rejected": -304.8665466308594,
1494
+ "step": 980
1495
+ },
1496
+ {
1497
+ "epoch": 0.7770800627943485,
1498
+ "grad_norm": 44.017025893728295,
1499
+ "learning_rate": 7.201594655002458e-08,
1500
+ "logits/chosen": 5813.82861328125,
1501
+ "logits/rejected": 4772.67236328125,
1502
+ "logps/chosen": -419.42626953125,
1503
+ "logps/rejected": -509.66265869140625,
1504
+ "loss": 0.4434,
1505
+ "rewards/accuracies": 0.7500000596046448,
1506
+ "rewards/chosen": -193.5313262939453,
1507
+ "rewards/margins": 122.06156921386719,
1508
+ "rewards/rejected": -315.5929260253906,
1509
+ "step": 990
1510
+ },
1511
+ {
1512
+ "epoch": 0.7849293563579278,
1513
+ "grad_norm": 48.20659685918205,
1514
+ "learning_rate": 6.727067196345099e-08,
1515
+ "logits/chosen": 5487.9765625,
1516
+ "logits/rejected": 4555.32568359375,
1517
+ "logps/chosen": -404.93780517578125,
1518
+ "logps/rejected": -469.1463317871094,
1519
+ "loss": 0.4897,
1520
+ "rewards/accuracies": 0.7416667342185974,
1521
+ "rewards/chosen": -191.1819610595703,
1522
+ "rewards/margins": 97.61907196044922,
1523
+ "rewards/rejected": -288.8010559082031,
1524
+ "step": 1000
1525
+ },
1526
+ {
1527
+ "epoch": 0.792778649921507,
1528
+ "grad_norm": 46.023098624202326,
1529
+ "learning_rate": 6.26627103495786e-08,
1530
+ "logits/chosen": 5664.5029296875,
1531
+ "logits/rejected": 4618.43896484375,
1532
+ "logps/chosen": -403.0906677246094,
1533
+ "logps/rejected": -496.787841796875,
1534
+ "loss": 0.4982,
1535
+ "rewards/accuracies": 0.7083333730697632,
1536
+ "rewards/chosen": -188.38143920898438,
1537
+ "rewards/margins": 116.97279357910156,
1538
+ "rewards/rejected": -305.354248046875,
1539
+ "step": 1010
1540
+ },
1541
+ {
1542
+ "epoch": 0.8006279434850864,
1543
+ "grad_norm": 33.147219575476456,
1544
+ "learning_rate": 5.8195524386862374e-08,
1545
+ "logits/chosen": 5767.7158203125,
1546
+ "logits/rejected": 5049.7314453125,
1547
+ "logps/chosen": -417.450927734375,
1548
+ "logps/rejected": -534.2034912109375,
1549
+ "loss": 0.4768,
1550
+ "rewards/accuracies": 0.824999988079071,
1551
+ "rewards/chosen": -169.27230834960938,
1552
+ "rewards/margins": 138.8505401611328,
1553
+ "rewards/rejected": -308.12286376953125,
1554
+ "step": 1020
1555
+ },
1556
+ {
1557
+ "epoch": 0.8084772370486656,
1558
+ "grad_norm": 44.16363871216782,
1559
+ "learning_rate": 5.38724709671092e-08,
1560
+ "logits/chosen": 6172.28564453125,
1561
+ "logits/rejected": 5719.01806640625,
1562
+ "logps/chosen": -422.5091857910156,
1563
+ "logps/rejected": -543.5262451171875,
1564
+ "loss": 0.452,
1565
+ "rewards/accuracies": 0.7916666269302368,
1566
+ "rewards/chosen": -191.04083251953125,
1567
+ "rewards/margins": 119.36612701416016,
1568
+ "rewards/rejected": -310.40692138671875,
1569
+ "step": 1030
1570
+ },
1571
+ {
1572
+ "epoch": 0.8163265306122449,
1573
+ "grad_norm": 39.656074244171414,
1574
+ "learning_rate": 4.969679867292276e-08,
1575
+ "logits/chosen": 5418.7431640625,
1576
+ "logits/rejected": 4830.5673828125,
1577
+ "logps/chosen": -418.001220703125,
1578
+ "logps/rejected": -538.5531005859375,
1579
+ "loss": 0.4711,
1580
+ "rewards/accuracies": 0.7333333492279053,
1581
+ "rewards/chosen": -197.8995361328125,
1582
+ "rewards/margins": 131.4696044921875,
1583
+ "rewards/rejected": -329.369140625,
1584
+ "step": 1040
1585
+ },
1586
+ {
1587
+ "epoch": 0.8241758241758241,
1588
+ "grad_norm": 42.53717868680899,
1589
+ "learning_rate": 4.5671645336537416e-08,
1590
+ "logits/chosen": 5494.4033203125,
1591
+ "logits/rejected": 4912.06689453125,
1592
+ "logps/chosen": -436.4764709472656,
1593
+ "logps/rejected": -538.32861328125,
1594
+ "loss": 0.474,
1595
+ "rewards/accuracies": 0.7916666269302368,
1596
+ "rewards/chosen": -198.99583435058594,
1597
+ "rewards/margins": 123.53836822509766,
1598
+ "rewards/rejected": -322.5341796875,
1599
+ "step": 1050
1600
+ },
1601
+ {
1602
+ "epoch": 0.8320251177394035,
1603
+ "grad_norm": 80.06540603349922,
1604
+ "learning_rate": 4.180003568187776e-08,
1605
+ "logits/chosen": 6801.2900390625,
1606
+ "logits/rejected": 5265.6240234375,
1607
+ "logps/chosen": -467.2841796875,
1608
+ "logps/rejected": -520.5267944335938,
1609
+ "loss": 0.5077,
1610
+ "rewards/accuracies": 0.7083333730697632,
1611
+ "rewards/chosen": -206.2968292236328,
1612
+ "rewards/margins": 94.19075012207031,
1613
+ "rewards/rejected": -300.4875183105469,
1614
+ "step": 1060
1615
+ },
1616
+ {
1617
+ "epoch": 0.8398744113029827,
1618
+ "grad_norm": 41.88276100093374,
1619
+ "learning_rate": 3.8084879051612144e-08,
1620
+ "logits/chosen": 5643.7236328125,
1621
+ "logits/rejected": 5065.4716796875,
1622
+ "logps/chosen": -418.366943359375,
1623
+ "logps/rejected": -503.81024169921875,
1624
+ "loss": 0.4863,
1625
+ "rewards/accuracies": 0.7750000357627869,
1626
+ "rewards/chosen": -193.12388610839844,
1627
+ "rewards/margins": 117.52203369140625,
1628
+ "rewards/rejected": -310.64593505859375,
1629
+ "step": 1070
1630
+ },
1631
+ {
1632
+ "epoch": 0.847723704866562,
1633
+ "grad_norm": 36.25286342761492,
1634
+ "learning_rate": 3.452896722091128e-08,
1635
+ "logits/chosen": 6217.41943359375,
1636
+ "logits/rejected": 4696.7431640625,
1637
+ "logps/chosen": -455.5332946777344,
1638
+ "logps/rejected": -515.8660888671875,
1639
+ "loss": 0.4523,
1640
+ "rewards/accuracies": 0.8083333969116211,
1641
+ "rewards/chosen": -188.9639892578125,
1642
+ "rewards/margins": 125.92216491699219,
1643
+ "rewards/rejected": -314.8861389160156,
1644
+ "step": 1080
1645
+ },
1646
+ {
1647
+ "epoch": 0.8555729984301413,
1648
+ "grad_norm": 38.21104402933791,
1649
+ "learning_rate": 3.11349722995527e-08,
1650
+ "logits/chosen": 6234.50830078125,
1651
+ "logits/rejected": 4605.3544921875,
1652
+ "logps/chosen": -427.64154052734375,
1653
+ "logps/rejected": -516.46533203125,
1654
+ "loss": 0.4496,
1655
+ "rewards/accuracies": 0.75,
1656
+ "rewards/chosen": -200.16696166992188,
1657
+ "rewards/margins": 103.41390228271484,
1658
+ "rewards/rejected": -303.58087158203125,
1659
+ "step": 1090
1660
+ },
1661
+ {
1662
+ "epoch": 0.8634222919937206,
1663
+ "grad_norm": 41.38019827891624,
1664
+ "learning_rate": 2.7905444723949762e-08,
1665
+ "logits/chosen": 6074.0888671875,
1666
+ "logits/rejected": 4931.25732421875,
1667
+ "logps/chosen": -438.71826171875,
1668
+ "logps/rejected": -524.115478515625,
1669
+ "loss": 0.4767,
1670
+ "rewards/accuracies": 0.7666666507720947,
1671
+ "rewards/chosen": -200.18191528320312,
1672
+ "rewards/margins": 134.4362030029297,
1673
+ "rewards/rejected": -334.61810302734375,
1674
+ "step": 1100
1675
+ },
1676
+ {
1677
+ "epoch": 0.8712715855572999,
1678
+ "grad_norm": 50.96012299878205,
1679
+ "learning_rate": 2.484281134061142e-08,
1680
+ "logits/chosen": 6402.4609375,
1681
+ "logits/rejected": 5064.45458984375,
1682
+ "logps/chosen": -470.1363830566406,
1683
+ "logps/rejected": -555.388671875,
1684
+ "loss": 0.4579,
1685
+ "rewards/accuracies": 0.7916666865348816,
1686
+ "rewards/chosen": -205.52273559570312,
1687
+ "rewards/margins": 127.5979232788086,
1688
+ "rewards/rejected": -333.12066650390625,
1689
+ "step": 1110
1690
+ },
1691
+ {
1692
+ "epoch": 0.8791208791208791,
1693
+ "grad_norm": 79.05286543148162,
1694
+ "learning_rate": 2.194937358247506e-08,
1695
+ "logits/chosen": 6290.2275390625,
1696
+ "logits/rejected": 5008.91064453125,
1697
+ "logps/chosen": -447.3267517089844,
1698
+ "logps/rejected": -544.9305419921875,
1699
+ "loss": 0.4567,
1700
+ "rewards/accuracies": 0.7333333492279053,
1701
+ "rewards/chosen": -202.18634033203125,
1702
+ "rewards/margins": 125.97334289550781,
1703
+ "rewards/rejected": -328.1596374511719,
1704
+ "step": 1120
1705
+ },
1706
+ {
1707
+ "epoch": 0.8869701726844584,
1708
+ "grad_norm": 43.333430022284745,
1709
+ "learning_rate": 1.9227305739481612e-08,
1710
+ "logits/chosen": 5735.0810546875,
1711
+ "logits/rejected": 4401.76904296875,
1712
+ "logps/chosen": -405.6451416015625,
1713
+ "logps/rejected": -487.1587829589844,
1714
+ "loss": 0.4634,
1715
+ "rewards/accuracies": 0.7333332896232605,
1716
+ "rewards/chosen": -170.8631134033203,
1717
+ "rewards/margins": 136.07012939453125,
1718
+ "rewards/rejected": -306.93328857421875,
1719
+ "step": 1130
1720
+ },
1721
+ {
1722
+ "epoch": 0.8948194662480377,
1723
+ "grad_norm": 43.64685469104338,
1724
+ "learning_rate": 1.6678653324693787e-08,
1725
+ "logits/chosen": 6344.9375,
1726
+ "logits/rejected": 5017.90771484375,
1727
+ "logps/chosen": -448.3443298339844,
1728
+ "logps/rejected": -535.1290283203125,
1729
+ "loss": 0.4315,
1730
+ "rewards/accuracies": 0.7583333253860474,
1731
+ "rewards/chosen": -190.72360229492188,
1732
+ "rewards/margins": 123.5924072265625,
1733
+ "rewards/rejected": -314.31597900390625,
1734
+ "step": 1140
1735
+ },
1736
+ {
1737
+ "epoch": 0.902668759811617,
1738
+ "grad_norm": 30.74102105572857,
1739
+ "learning_rate": 1.4305331537183384e-08,
1740
+ "logits/chosen": 5594.583984375,
1741
+ "logits/rejected": 5034.6513671875,
1742
+ "logps/chosen": -418.12744140625,
1743
+ "logps/rejected": -520.3704223632812,
1744
+ "loss": 0.4479,
1745
+ "rewards/accuracies": 0.6833333373069763,
1746
+ "rewards/chosen": -191.1439971923828,
1747
+ "rewards/margins": 109.73844146728516,
1748
+ "rewards/rejected": -300.8824768066406,
1749
+ "step": 1150
1750
+ },
1751
+ {
1752
+ "epoch": 0.9105180533751962,
1753
+ "grad_norm": 44.80220273513666,
1754
+ "learning_rate": 1.2109123822844653e-08,
1755
+ "logits/chosen": 5744.36767578125,
1756
+ "logits/rejected": 4455.0693359375,
1757
+ "logps/chosen": -426.673095703125,
1758
+ "logps/rejected": -502.768798828125,
1759
+ "loss": 0.4666,
1760
+ "rewards/accuracies": 0.783333420753479,
1761
+ "rewards/chosen": -198.11630249023438,
1762
+ "rewards/margins": 108.71439361572266,
1763
+ "rewards/rejected": -306.8307189941406,
1764
+ "step": 1160
1765
+ },
1766
+ {
1767
+ "epoch": 0.9183673469387755,
1768
+ "grad_norm": 45.0040128824626,
1769
+ "learning_rate": 1.0091680534213387e-08,
1770
+ "logits/chosen": 6311.94287109375,
1771
+ "logits/rejected": 5963.67431640625,
1772
+ "logps/chosen": -428.43194580078125,
1773
+ "logps/rejected": -561.5809326171875,
1774
+ "loss": 0.4716,
1775
+ "rewards/accuracies": 0.7333333492279053,
1776
+ "rewards/chosen": -185.48355102539062,
1777
+ "rewards/margins": 129.35040283203125,
1778
+ "rewards/rejected": -314.8339538574219,
1779
+ "step": 1170
1780
+ },
1781
+ {
1782
+ "epoch": 0.9262166405023547,
1783
+ "grad_norm": 42.78903323769823,
1784
+ "learning_rate": 8.254517690300944e-09,
1785
+ "logits/chosen": 5514.55908203125,
1786
+ "logits/rejected": 4880.208984375,
1787
+ "logps/chosen": -419.6272888183594,
1788
+ "logps/rejected": -533.3134765625,
1789
+ "loss": 0.4456,
1790
+ "rewards/accuracies": 0.7583333253860474,
1791
+ "rewards/chosen": -179.68130493164062,
1792
+ "rewards/margins": 136.81039428710938,
1793
+ "rewards/rejected": -316.49169921875,
1794
+ "step": 1180
1795
+ },
1796
+ {
1797
+ "epoch": 0.9340659340659341,
1798
+ "grad_norm": 28.531293799623864,
1799
+ "learning_rate": 6.599015837372907e-09,
1800
+ "logits/chosen": 6016.01953125,
1801
+ "logits/rejected": 5128.45068359375,
1802
+ "logps/chosen": -462.04693603515625,
1803
+ "logps/rejected": -547.386962890625,
1804
+ "loss": 0.4737,
1805
+ "rewards/accuracies": 0.75,
1806
+ "rewards/chosen": -213.16140747070312,
1807
+ "rewards/margins": 117.0730972290039,
1808
+ "rewards/rejected": -330.2344970703125,
1809
+ "step": 1190
1810
+ },
1811
+ {
1812
+ "epoch": 0.9419152276295133,
1813
+ "grad_norm": 55.0858063276208,
1814
+ "learning_rate": 5.126419011529992e-09,
1815
+ "logits/chosen": 6267.1201171875,
1816
+ "logits/rejected": 5174.8701171875,
1817
+ "logps/chosen": -440.6876525878906,
1818
+ "logps/rejected": -556.6735229492188,
1819
+ "loss": 0.4608,
1820
+ "rewards/accuracies": 0.8500000238418579,
1821
+ "rewards/chosen": -185.0259246826172,
1822
+ "rewards/margins": 152.98207092285156,
1823
+ "rewards/rejected": -338.00799560546875,
1824
+ "step": 1200
1825
+ },
1826
+ {
1827
+ "epoch": 0.9497645211930926,
1828
+ "grad_norm": 47.79283442167676,
1829
+ "learning_rate": 3.837833803870177e-09,
1830
+ "logits/chosen": 5824.5322265625,
1831
+ "logits/rejected": 5009.84765625,
1832
+ "logps/chosen": -441.38726806640625,
1833
+ "logps/rejected": -552.630126953125,
1834
+ "loss": 0.4784,
1835
+ "rewards/accuracies": 0.7666667103767395,
1836
+ "rewards/chosen": -201.20175170898438,
1837
+ "rewards/margins": 133.22714233398438,
1838
+ "rewards/rejected": -334.42889404296875,
1839
+ "step": 1210
1840
+ },
1841
+ {
1842
+ "epoch": 0.957613814756672,
1843
+ "grad_norm": 54.80164391638467,
1844
+ "learning_rate": 2.734228528934679e-09,
1845
+ "logits/chosen": 7285.5625,
1846
+ "logits/rejected": 5203.20263671875,
1847
+ "logps/chosen": -506.8431701660156,
1848
+ "logps/rejected": -587.1539916992188,
1849
+ "loss": 0.473,
1850
+ "rewards/accuracies": 0.7333333492279053,
1851
+ "rewards/chosen": -210.07470703125,
1852
+ "rewards/margins": 131.88209533691406,
1853
+ "rewards/rejected": -341.956787109375,
1854
+ "step": 1220
1855
+ },
1856
+ {
1857
+ "epoch": 0.9654631083202512,
1858
+ "grad_norm": 57.218716588041886,
1859
+ "learning_rate": 1.8164324970625645e-09,
1860
+ "logits/chosen": 6470.89599609375,
1861
+ "logits/rejected": 4952.3310546875,
1862
+ "logps/chosen": -447.22430419921875,
1863
+ "logps/rejected": -529.0125732421875,
1864
+ "loss": 0.5037,
1865
+ "rewards/accuracies": 0.7749999761581421,
1866
+ "rewards/chosen": -186.6426544189453,
1867
+ "rewards/margins": 129.3731689453125,
1868
+ "rewards/rejected": -316.01580810546875,
1869
+ "step": 1230
1870
+ },
1871
+ {
1872
+ "epoch": 0.9733124018838305,
1873
+ "grad_norm": 49.08939659365686,
1874
+ "learning_rate": 1.0851353912008642e-09,
1875
+ "logits/chosen": 5508.70849609375,
1876
+ "logits/rejected": 5003.6572265625,
1877
+ "logps/chosen": -440.58612060546875,
1878
+ "logps/rejected": -564.5394287109375,
1879
+ "loss": 0.4705,
1880
+ "rewards/accuracies": 0.7166666388511658,
1881
+ "rewards/chosen": -208.97372436523438,
1882
+ "rewards/margins": 120.40782165527344,
1883
+ "rewards/rejected": -329.3815612792969,
1884
+ "step": 1240
1885
+ },
1886
+ {
1887
+ "epoch": 0.9811616954474097,
1888
+ "grad_norm": 34.5765498205139,
1889
+ "learning_rate": 5.408867486384471e-10,
1890
+ "logits/chosen": 5668.72265625,
1891
+ "logits/rejected": 4670.9951171875,
1892
+ "logps/chosen": -410.5791931152344,
1893
+ "logps/rejected": -494.171630859375,
1894
+ "loss": 0.4648,
1895
+ "rewards/accuracies": 0.7999999523162842,
1896
+ "rewards/chosen": -180.2710723876953,
1897
+ "rewards/margins": 124.47029876708984,
1898
+ "rewards/rejected": -304.74139404296875,
1899
+ "step": 1250
1900
+ },
1901
+ {
1902
+ "epoch": 0.989010989010989,
1903
+ "grad_norm": 41.41687041502778,
1904
+ "learning_rate": 1.840955480532924e-10,
1905
+ "logits/chosen": 5382.2900390625,
1906
+ "logits/rejected": 4956.3583984375,
1907
+ "logps/chosen": -417.5318298339844,
1908
+ "logps/rejected": -528.2335815429688,
1909
+ "loss": 0.4468,
1910
+ "rewards/accuracies": 0.8083333969116211,
1911
+ "rewards/chosen": -185.3712615966797,
1912
+ "rewards/margins": 126.5372085571289,
1913
+ "rewards/rejected": -311.9084777832031,
1914
+ "step": 1260
1915
+ },
1916
+ {
1917
+ "epoch": 0.9968602825745683,
1918
+ "grad_norm": 49.64487229564236,
1919
+ "learning_rate": 1.502990218302247e-11,
1920
+ "logits/chosen": 5616.408203125,
1921
+ "logits/rejected": 4474.3134765625,
1922
+ "logps/chosen": -429.5157165527344,
1923
+ "logps/rejected": -510.53448486328125,
1924
+ "loss": 0.4854,
1925
+ "rewards/accuracies": 0.7666666507720947,
1926
+ "rewards/chosen": -205.04177856445312,
1927
+ "rewards/margins": 119.1884765625,
1928
+ "rewards/rejected": -324.230224609375,
1929
+ "step": 1270
1930
+ },
1931
+ {
1932
+ "epoch": 1.0,
1933
+ "step": 1274,
1934
+ "total_flos": 0.0,
1935
+ "train_loss": 0.5142561288044628,
1936
+ "train_runtime": 14779.9494,
1937
+ "train_samples_per_second": 4.136,
1938
+ "train_steps_per_second": 0.086
1939
+ }
1940
+ ],
1941
+ "logging_steps": 10,
1942
+ "max_steps": 1274,
1943
+ "num_input_tokens_seen": 0,
1944
+ "num_train_epochs": 1,
1945
+ "save_steps": 1000,
1946
+ "stateful_callbacks": {
1947
+ "TrainerControl": {
1948
+ "args": {
1949
+ "should_epoch_stop": false,
1950
+ "should_evaluate": false,
1951
+ "should_log": false,
1952
+ "should_save": true,
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
+ }