Teng Xiao commited on
Commit
39a6c43
1 Parent(s): 41c66ae
README.md ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: alignment-handbook/zephyr-7b-sft-full
4
+ tags:
5
+ - alignment_handbook-handbook
6
+ - generated_from_trainer
7
+ datasets:
8
+ - HuggingFaceH4/ultrafeedback_binarized
9
+ model-index:
10
+ - name: zephyr-7b-SimPO-Plus-SELM3
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # zephyr-7b-SimPO-Plus-SELM3
18
+
19
+ This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the HuggingFaceH4/ultrafeedback_binarized dataset.
20
+
21
+ ## Model description
22
+
23
+ More information needed
24
+
25
+ ## Intended uses & limitations
26
+
27
+ More information needed
28
+
29
+ ## Training and evaluation data
30
+
31
+ More information needed
32
+
33
+ ## Training procedure
34
+
35
+ ### Training hyperparameters
36
+
37
+ The following hyperparameters were used during training:
38
+ - learning_rate: 5e-07
39
+ - train_batch_size: 2
40
+ - eval_batch_size: 4
41
+ - seed: 42
42
+ - distributed_type: multi-GPU
43
+ - num_devices: 4
44
+ - gradient_accumulation_steps: 16
45
+ - total_train_batch_size: 128
46
+ - total_eval_batch_size: 16
47
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
+ - lr_scheduler_type: cosine
49
+ - lr_scheduler_warmup_ratio: 0.1
50
+ - num_epochs: 1
51
+
52
+ ### Training results
53
+
54
+
55
+
56
+ ### Framework versions
57
+
58
+ - Transformers 4.40.2
59
+ - Pytorch 2.1.2+cu121
60
+ - Datasets 2.14.6
61
+ - Tokenizers 0.19.1
all_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 0.998691442030882,
3
+ "total_flos": 0.0,
4
+ "train_loss": -0.10079137468612918,
5
+ "train_runtime": 7720.3379,
6
+ "train_samples": 61135,
7
+ "train_samples_per_second": 7.919,
8
+ "train_steps_per_second": 0.062
9
+ }
config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "alignment-handbook/zephyr-7b-sft-full",
3
+ "architectures": [
4
+ "MistralForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 1,
8
+ "eos_token_id": 2,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 4096,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 14336,
13
+ "max_position_embeddings": 32768,
14
+ "model_type": "mistral",
15
+ "num_attention_heads": 32,
16
+ "num_hidden_layers": 32,
17
+ "num_key_value_heads": 8,
18
+ "rms_norm_eps": 1e-05,
19
+ "rope_theta": 10000.0,
20
+ "sliding_window": 4096,
21
+ "tie_word_embeddings": false,
22
+ "torch_dtype": "bfloat16",
23
+ "transformers_version": "4.40.2",
24
+ "use_cache": true,
25
+ "vocab_size": 32000
26
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.40.2"
6
+ }
model-00001-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:441426d5c312c105772473694b8859f909c7ed9ff03920feba449ca7595a6e7f
3
+ size 4943162336
model-00002-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:74e5f6d98f377aad3815e9083090d288a3c7f5b74ef6389ff28a862db7f2d4c7
3
+ size 4999819336
model-00003-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0ebf47986584958118564f19ffc7292b103826ce8e6350addecc28c64fc5abd1
3
+ size 4540516344
model.safetensors.index.json ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 14483464192
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00003-of-00003.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00003.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
13
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
14
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
15
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
16
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
17
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
18
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
19
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
20
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
21
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
22
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
23
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
24
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
25
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
26
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00003.safetensors",
27
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
28
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
29
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
30
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
31
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
32
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
33
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
34
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
35
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
36
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
37
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
38
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
39
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
40
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
41
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
42
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
43
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
44
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
45
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
46
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
47
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
48
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
49
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
50
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
51
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
52
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
53
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
54
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
55
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
56
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
57
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
58
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
59
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
60
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
61
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
62
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
63
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
64
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
65
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
66
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
67
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
68
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
69
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
70
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
71
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
72
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
73
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
74
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
75
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
76
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
77
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
78
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
79
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
80
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
81
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
82
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
83
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
84
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
85
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
86
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
87
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
88
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
89
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
90
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
91
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
92
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
93
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
94
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
95
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
96
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
97
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
98
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
99
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
100
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
101
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
102
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
103
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
104
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
105
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
106
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
107
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors",
108
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
109
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
110
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
111
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
112
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
113
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
114
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
115
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
116
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
117
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
118
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
119
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
120
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
121
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
122
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
123
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
124
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
125
+ "model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors",
126
+ "model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
127
+ "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
128
+ "model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
129
+ "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
130
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
131
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
132
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
133
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
134
+ "model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors",
135
+ "model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
136
+ "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
137
+ "model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
138
+ "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
139
+ "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
140
+ "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
141
+ "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
142
+ "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
143
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00003.safetensors",
144
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
145
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
146
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
147
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
148
+ "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
149
+ "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
150
+ "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
151
+ "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
152
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
153
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
154
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
155
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
156
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
157
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
158
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
159
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
160
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
161
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
162
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
163
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
164
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
165
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
166
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
167
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
168
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
169
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
170
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
171
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
172
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
173
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
174
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
175
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
176
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
177
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
178
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
179
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
180
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
181
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
182
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
183
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
184
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
185
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
186
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
187
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
188
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
189
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
190
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
191
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
192
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
193
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
194
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
195
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
196
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
197
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors",
198
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
199
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
200
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
201
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
202
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
203
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
204
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
205
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
206
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors",
207
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
208
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
209
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
210
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
211
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
212
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
213
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
214
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
215
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
216
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
217
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
218
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
219
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
220
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
221
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
222
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
223
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
224
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00003.safetensors",
225
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
226
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
227
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
228
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
229
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
230
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
231
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
232
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
233
+ "model.layers.31.input_layernorm.weight": "model-00003-of-00003.safetensors",
234
+ "model.layers.31.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
235
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
236
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
237
+ "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
238
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
239
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
240
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
241
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
242
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
243
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
244
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
245
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
246
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
247
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
248
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
249
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
250
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
251
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
252
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
253
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
254
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
255
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
256
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
257
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
258
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
259
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
260
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
261
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
262
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
263
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
264
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
265
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
266
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
267
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
268
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
269
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
270
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
271
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
272
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
273
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
274
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
275
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
276
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
277
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
278
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
279
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
280
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
281
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
282
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
283
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
284
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
285
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
286
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
287
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
288
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
289
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
290
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
291
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
292
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
293
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
294
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
295
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
296
+ "model.norm.weight": "model-00003-of-00003.safetensors"
297
+ }
298
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "</s>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<unk>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<s>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "</s>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ }
29
+ },
30
+ "additional_special_tokens": [],
31
+ "bos_token": "<s>",
32
+ "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
33
+ "clean_up_tokenization_spaces": false,
34
+ "eos_token": "</s>",
35
+ "legacy": true,
36
+ "model_max_length": 2048,
37
+ "pad_token": "</s>",
38
+ "sp_model_kwargs": {},
39
+ "spaces_between_special_tokens": false,
40
+ "tokenizer_class": "LlamaTokenizer",
41
+ "unk_token": "<unk>",
42
+ "use_default_system_prompt": false
43
+ }
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 0.998691442030882,
3
+ "total_flos": 0.0,
4
+ "train_loss": -0.10079137468612918,
5
+ "train_runtime": 7720.3379,
6
+ "train_samples": 61135,
7
+ "train_samples_per_second": 7.919,
8
+ "train_steps_per_second": 0.062
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,1455 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.998691442030882,
5
+ "eval_steps": 500,
6
+ "global_step": 477,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.010468463752944255,
13
+ "grad_norm": 4.346810230562558,
14
+ "learning_rate": 5.208333333333333e-08,
15
+ "logits/chosen": -2.770826816558838,
16
+ "logits/rejected": -2.7283427715301514,
17
+ "logps/chosen": -1.0278762578964233,
18
+ "logps/rejected": -1.1730964183807373,
19
+ "loss": -0.0311,
20
+ "rewards/accuracies": 0.581250011920929,
21
+ "rewards/chosen": -1.0278762578964233,
22
+ "rewards/margins": 0.14522016048431396,
23
+ "rewards/rejected": -1.1730964183807373,
24
+ "step": 5
25
+ },
26
+ {
27
+ "epoch": 0.02093692750588851,
28
+ "grad_norm": 3.9588019875332385,
29
+ "learning_rate": 1.0416666666666667e-07,
30
+ "logits/chosen": -2.75107741355896,
31
+ "logits/rejected": -2.7253947257995605,
32
+ "logps/chosen": -0.9945151209831238,
33
+ "logps/rejected": -1.0702844858169556,
34
+ "loss": -0.0261,
35
+ "rewards/accuracies": 0.5,
36
+ "rewards/chosen": -0.9945151209831238,
37
+ "rewards/margins": 0.07576939463615417,
38
+ "rewards/rejected": -1.0702844858169556,
39
+ "step": 10
40
+ },
41
+ {
42
+ "epoch": 0.031405391258832765,
43
+ "grad_norm": 5.603537593720323,
44
+ "learning_rate": 1.5624999999999999e-07,
45
+ "logits/chosen": -2.73160982131958,
46
+ "logits/rejected": -2.6982245445251465,
47
+ "logps/chosen": -0.9771434664726257,
48
+ "logps/rejected": -1.1377661228179932,
49
+ "loss": -0.0428,
50
+ "rewards/accuracies": 0.6499999761581421,
51
+ "rewards/chosen": -0.9771434664726257,
52
+ "rewards/margins": 0.16062253713607788,
53
+ "rewards/rejected": -1.1377661228179932,
54
+ "step": 15
55
+ },
56
+ {
57
+ "epoch": 0.04187385501177702,
58
+ "grad_norm": 4.548032560740917,
59
+ "learning_rate": 2.0833333333333333e-07,
60
+ "logits/chosen": -2.8064258098602295,
61
+ "logits/rejected": -2.713654041290283,
62
+ "logps/chosen": -0.985003650188446,
63
+ "logps/rejected": -1.0847834348678589,
64
+ "loss": -0.0332,
65
+ "rewards/accuracies": 0.5562499761581421,
66
+ "rewards/chosen": -0.985003650188446,
67
+ "rewards/margins": 0.09977984428405762,
68
+ "rewards/rejected": -1.0847834348678589,
69
+ "step": 20
70
+ },
71
+ {
72
+ "epoch": 0.05234231876472128,
73
+ "grad_norm": 4.5597803893373,
74
+ "learning_rate": 2.604166666666667e-07,
75
+ "logits/chosen": -2.8061375617980957,
76
+ "logits/rejected": -2.783907890319824,
77
+ "logps/chosen": -0.9467870593070984,
78
+ "logps/rejected": -1.0098259449005127,
79
+ "loss": -0.0334,
80
+ "rewards/accuracies": 0.48124998807907104,
81
+ "rewards/chosen": -0.9467870593070984,
82
+ "rewards/margins": 0.06303904205560684,
83
+ "rewards/rejected": -1.0098259449005127,
84
+ "step": 25
85
+ },
86
+ {
87
+ "epoch": 0.06281078251766553,
88
+ "grad_norm": 5.10489068806009,
89
+ "learning_rate": 3.1249999999999997e-07,
90
+ "logits/chosen": -2.7864301204681396,
91
+ "logits/rejected": -2.7476391792297363,
92
+ "logps/chosen": -0.8423538208007812,
93
+ "logps/rejected": -0.9428925514221191,
94
+ "loss": -0.0302,
95
+ "rewards/accuracies": 0.5,
96
+ "rewards/chosen": -0.8423538208007812,
97
+ "rewards/margins": 0.10053881257772446,
98
+ "rewards/rejected": -0.9428925514221191,
99
+ "step": 30
100
+ },
101
+ {
102
+ "epoch": 0.07327924627060979,
103
+ "grad_norm": 4.722421889688127,
104
+ "learning_rate": 3.645833333333333e-07,
105
+ "logits/chosen": -2.799630641937256,
106
+ "logits/rejected": -2.7175850868225098,
107
+ "logps/chosen": -0.8731309771537781,
108
+ "logps/rejected": -0.9851009249687195,
109
+ "loss": -0.0404,
110
+ "rewards/accuracies": 0.5562499761581421,
111
+ "rewards/chosen": -0.8731309771537781,
112
+ "rewards/margins": 0.11196992546319962,
113
+ "rewards/rejected": -0.9851009249687195,
114
+ "step": 35
115
+ },
116
+ {
117
+ "epoch": 0.08374771002355404,
118
+ "grad_norm": 4.248923283073742,
119
+ "learning_rate": 4.1666666666666667e-07,
120
+ "logits/chosen": -2.8324596881866455,
121
+ "logits/rejected": -2.7458882331848145,
122
+ "logps/chosen": -0.8420968055725098,
123
+ "logps/rejected": -1.0914112329483032,
124
+ "loss": -0.0618,
125
+ "rewards/accuracies": 0.606249988079071,
126
+ "rewards/chosen": -0.8420968055725098,
127
+ "rewards/margins": 0.24931427836418152,
128
+ "rewards/rejected": -1.0914112329483032,
129
+ "step": 40
130
+ },
131
+ {
132
+ "epoch": 0.0942161737764983,
133
+ "grad_norm": 5.0405672369883785,
134
+ "learning_rate": 4.6874999999999996e-07,
135
+ "logits/chosen": -2.849945068359375,
136
+ "logits/rejected": -2.8102831840515137,
137
+ "logps/chosen": -0.8449975848197937,
138
+ "logps/rejected": -0.9582854509353638,
139
+ "loss": -0.0548,
140
+ "rewards/accuracies": 0.5687500238418579,
141
+ "rewards/chosen": -0.8449975848197937,
142
+ "rewards/margins": 0.11328791081905365,
143
+ "rewards/rejected": -0.9582854509353638,
144
+ "step": 45
145
+ },
146
+ {
147
+ "epoch": 0.10468463752944256,
148
+ "grad_norm": 5.64617461868394,
149
+ "learning_rate": 4.999731868769026e-07,
150
+ "logits/chosen": -2.811375379562378,
151
+ "logits/rejected": -2.7602672576904297,
152
+ "logps/chosen": -0.8518880009651184,
153
+ "logps/rejected": -1.0725266933441162,
154
+ "loss": -0.0542,
155
+ "rewards/accuracies": 0.612500011920929,
156
+ "rewards/chosen": -0.8518880009651184,
157
+ "rewards/margins": 0.22063866257667542,
158
+ "rewards/rejected": -1.0725266933441162,
159
+ "step": 50
160
+ },
161
+ {
162
+ "epoch": 0.11515310128238682,
163
+ "grad_norm": 5.384675273611872,
164
+ "learning_rate": 4.996716052911017e-07,
165
+ "logits/chosen": -2.808159828186035,
166
+ "logits/rejected": -2.7851834297180176,
167
+ "logps/chosen": -0.848084568977356,
168
+ "logps/rejected": -1.0285918712615967,
169
+ "loss": -0.0547,
170
+ "rewards/accuracies": 0.543749988079071,
171
+ "rewards/chosen": -0.848084568977356,
172
+ "rewards/margins": 0.18050721287727356,
173
+ "rewards/rejected": -1.0285918712615967,
174
+ "step": 55
175
+ },
176
+ {
177
+ "epoch": 0.12562156503533106,
178
+ "grad_norm": 5.059534659236238,
179
+ "learning_rate": 4.990353313429303e-07,
180
+ "logits/chosen": -2.8628323078155518,
181
+ "logits/rejected": -2.819815158843994,
182
+ "logps/chosen": -0.8899663686752319,
183
+ "logps/rejected": -1.0574657917022705,
184
+ "loss": -0.0786,
185
+ "rewards/accuracies": 0.6000000238418579,
186
+ "rewards/chosen": -0.8899663686752319,
187
+ "rewards/margins": 0.167499378323555,
188
+ "rewards/rejected": -1.0574657917022705,
189
+ "step": 60
190
+ },
191
+ {
192
+ "epoch": 0.1360900287882753,
193
+ "grad_norm": 5.268510766313717,
194
+ "learning_rate": 4.980652179769217e-07,
195
+ "logits/chosen": -2.8412885665893555,
196
+ "logits/rejected": -2.7448229789733887,
197
+ "logps/chosen": -0.9110374450683594,
198
+ "logps/rejected": -1.2632114887237549,
199
+ "loss": -0.0663,
200
+ "rewards/accuracies": 0.706250011920929,
201
+ "rewards/chosen": -0.9110374450683594,
202
+ "rewards/margins": 0.3521740436553955,
203
+ "rewards/rejected": -1.2632114887237549,
204
+ "step": 65
205
+ },
206
+ {
207
+ "epoch": 0.14655849254121958,
208
+ "grad_norm": 6.376428469132036,
209
+ "learning_rate": 4.967625656594781e-07,
210
+ "logits/chosen": -2.765308380126953,
211
+ "logits/rejected": -2.715372085571289,
212
+ "logps/chosen": -0.9485328793525696,
213
+ "logps/rejected": -1.1706184148788452,
214
+ "loss": -0.0717,
215
+ "rewards/accuracies": 0.606249988079071,
216
+ "rewards/chosen": -0.9485328793525696,
217
+ "rewards/margins": 0.2220855951309204,
218
+ "rewards/rejected": -1.1706184148788452,
219
+ "step": 70
220
+ },
221
+ {
222
+ "epoch": 0.15702695629416383,
223
+ "grad_norm": 6.941584657656803,
224
+ "learning_rate": 4.951291206355559e-07,
225
+ "logits/chosen": -2.835057020187378,
226
+ "logits/rejected": -2.782494306564331,
227
+ "logps/chosen": -0.9551437497138977,
228
+ "logps/rejected": -1.2665637731552124,
229
+ "loss": -0.0801,
230
+ "rewards/accuracies": 0.668749988079071,
231
+ "rewards/chosen": -0.9551437497138977,
232
+ "rewards/margins": 0.3114200532436371,
233
+ "rewards/rejected": -1.2665637731552124,
234
+ "step": 75
235
+ },
236
+ {
237
+ "epoch": 0.16749542004710807,
238
+ "grad_norm": 8.05840757727182,
239
+ "learning_rate": 4.93167072587771e-07,
240
+ "logits/chosen": -2.825330972671509,
241
+ "logits/rejected": -2.775848388671875,
242
+ "logps/chosen": -1.0829139947891235,
243
+ "logps/rejected": -1.4249590635299683,
244
+ "loss": -0.0669,
245
+ "rewards/accuracies": 0.6625000238418579,
246
+ "rewards/chosen": -1.0829139947891235,
247
+ "rewards/margins": 0.34204500913619995,
248
+ "rewards/rejected": -1.4249590635299683,
249
+ "step": 80
250
+ },
251
+ {
252
+ "epoch": 0.17796388380005235,
253
+ "grad_norm": 8.045610703659296,
254
+ "learning_rate": 4.908790517010636e-07,
255
+ "logits/chosen": -2.845106363296509,
256
+ "logits/rejected": -2.8046956062316895,
257
+ "logps/chosen": -0.9732005000114441,
258
+ "logps/rejected": -1.3423811197280884,
259
+ "loss": -0.0729,
260
+ "rewards/accuracies": 0.643750011920929,
261
+ "rewards/chosen": -0.9732005000114441,
262
+ "rewards/margins": 0.3691806197166443,
263
+ "rewards/rejected": -1.3423811197280884,
264
+ "step": 85
265
+ },
266
+ {
267
+ "epoch": 0.1884323475529966,
268
+ "grad_norm": 7.045936037540457,
269
+ "learning_rate": 4.882681251368548e-07,
270
+ "logits/chosen": -2.7924728393554688,
271
+ "logits/rejected": -2.77547550201416,
272
+ "logps/chosen": -1.0358796119689941,
273
+ "logps/rejected": -1.3562135696411133,
274
+ "loss": -0.0767,
275
+ "rewards/accuracies": 0.675000011920929,
276
+ "rewards/chosen": -1.0358796119689941,
277
+ "rewards/margins": 0.32033389806747437,
278
+ "rewards/rejected": -1.3562135696411133,
279
+ "step": 90
280
+ },
281
+ {
282
+ "epoch": 0.19890081130594087,
283
+ "grad_norm": 8.250297307046639,
284
+ "learning_rate": 4.853377929214243e-07,
285
+ "logits/chosen": -2.8639283180236816,
286
+ "logits/rejected": -2.774474859237671,
287
+ "logps/chosen": -1.0332310199737549,
288
+ "logps/rejected": -1.3502418994903564,
289
+ "loss": -0.076,
290
+ "rewards/accuracies": 0.574999988079071,
291
+ "rewards/chosen": -1.0332310199737549,
292
+ "rewards/margins": 0.31701093912124634,
293
+ "rewards/rejected": -1.3502418994903564,
294
+ "step": 95
295
+ },
296
+ {
297
+ "epoch": 0.2093692750588851,
298
+ "grad_norm": 7.621542538359542,
299
+ "learning_rate": 4.820919832540181e-07,
300
+ "logits/chosen": -2.8361611366271973,
301
+ "logits/rejected": -2.7507224082946777,
302
+ "logps/chosen": -1.0262795686721802,
303
+ "logps/rejected": -1.4525015354156494,
304
+ "loss": -0.0706,
305
+ "rewards/accuracies": 0.637499988079071,
306
+ "rewards/chosen": -1.0262795686721802,
307
+ "rewards/margins": 0.42622217535972595,
308
+ "rewards/rejected": -1.4525015354156494,
309
+ "step": 100
310
+ },
311
+ {
312
+ "epoch": 0.21983773881182936,
313
+ "grad_norm": 8.475279965821194,
314
+ "learning_rate": 4.785350472409791e-07,
315
+ "logits/chosen": -2.843799591064453,
316
+ "logits/rejected": -2.832231044769287,
317
+ "logps/chosen": -1.0371147394180298,
318
+ "logps/rejected": -1.5802838802337646,
319
+ "loss": -0.0941,
320
+ "rewards/accuracies": 0.675000011920929,
321
+ "rewards/chosen": -1.0371147394180298,
322
+ "rewards/margins": 0.5431692600250244,
323
+ "rewards/rejected": -1.5802838802337646,
324
+ "step": 105
325
+ },
326
+ {
327
+ "epoch": 0.23030620256477363,
328
+ "grad_norm": 10.643477587048372,
329
+ "learning_rate": 4.7467175306295647e-07,
330
+ "logits/chosen": -2.9215893745422363,
331
+ "logits/rejected": -2.878948211669922,
332
+ "logps/chosen": -1.1720930337905884,
333
+ "logps/rejected": -1.6131317615509033,
334
+ "loss": -0.0876,
335
+ "rewards/accuracies": 0.6312500238418579,
336
+ "rewards/chosen": -1.1720930337905884,
337
+ "rewards/margins": 0.44103869795799255,
338
+ "rewards/rejected": -1.6131317615509033,
339
+ "step": 110
340
+ },
341
+ {
342
+ "epoch": 0.24077466631771788,
343
+ "grad_norm": 12.930215586611359,
344
+ "learning_rate": 4.70507279583015e-07,
345
+ "logits/chosen": -2.877657175064087,
346
+ "logits/rejected": -2.841059684753418,
347
+ "logps/chosen": -1.1004445552825928,
348
+ "logps/rejected": -1.676473617553711,
349
+ "loss": -0.1099,
350
+ "rewards/accuracies": 0.7124999761581421,
351
+ "rewards/chosen": -1.1004445552825928,
352
+ "rewards/margins": 0.5760290622711182,
353
+ "rewards/rejected": -1.676473617553711,
354
+ "step": 115
355
+ },
356
+ {
357
+ "epoch": 0.2512431300706621,
358
+ "grad_norm": 10.033868511228727,
359
+ "learning_rate": 4.6604720940421207e-07,
360
+ "logits/chosen": -2.8931796550750732,
361
+ "logits/rejected": -2.865452289581299,
362
+ "logps/chosen": -1.1294819116592407,
363
+ "logps/rejected": -1.5640286207199097,
364
+ "loss": -0.0865,
365
+ "rewards/accuracies": 0.625,
366
+ "rewards/chosen": -1.1294819116592407,
367
+ "rewards/margins": 0.4345467984676361,
368
+ "rewards/rejected": -1.5640286207199097,
369
+ "step": 120
370
+ },
371
+ {
372
+ "epoch": 0.26171159382360637,
373
+ "grad_norm": 6.830768956424789,
374
+ "learning_rate": 4.612975213859487e-07,
375
+ "logits/chosen": -2.9503254890441895,
376
+ "logits/rejected": -2.9335081577301025,
377
+ "logps/chosen": -1.0866938829421997,
378
+ "logps/rejected": -1.4504375457763672,
379
+ "loss": -0.0869,
380
+ "rewards/accuracies": 0.6187499761581421,
381
+ "rewards/chosen": -1.0866938829421997,
382
+ "rewards/margins": 0.36374372243881226,
383
+ "rewards/rejected": -1.4504375457763672,
384
+ "step": 125
385
+ },
386
+ {
387
+ "epoch": 0.2721800575765506,
388
+ "grad_norm": 8.139451436965633,
389
+ "learning_rate": 4.5626458262912735e-07,
390
+ "logits/chosen": -2.9254631996154785,
391
+ "logits/rejected": -2.9086062908172607,
392
+ "logps/chosen": -1.1849825382232666,
393
+ "logps/rejected": -1.4210944175720215,
394
+ "loss": -0.0901,
395
+ "rewards/accuracies": 0.625,
396
+ "rewards/chosen": -1.1849825382232666,
397
+ "rewards/margins": 0.23611190915107727,
398
+ "rewards/rejected": -1.4210944175720215,
399
+ "step": 130
400
+ },
401
+ {
402
+ "epoch": 0.2826485213294949,
403
+ "grad_norm": 9.401861364391584,
404
+ "learning_rate": 4.5095513994085974e-07,
405
+ "logits/chosen": -2.9616475105285645,
406
+ "logits/rejected": -2.905653476715088,
407
+ "logps/chosen": -1.2673760652542114,
408
+ "logps/rejected": -2.075326681137085,
409
+ "loss": -0.092,
410
+ "rewards/accuracies": 0.737500011920929,
411
+ "rewards/chosen": -1.2673760652542114,
412
+ "rewards/margins": 0.8079506754875183,
413
+ "rewards/rejected": -2.075326681137085,
414
+ "step": 135
415
+ },
416
+ {
417
+ "epoch": 0.29311698508243916,
418
+ "grad_norm": 9.803219381697673,
419
+ "learning_rate": 4.453763107901675e-07,
420
+ "logits/chosen": -2.973576068878174,
421
+ "logits/rejected": -2.9448180198669434,
422
+ "logps/chosen": -1.2507134675979614,
423
+ "logps/rejected": -1.8247950077056885,
424
+ "loss": -0.102,
425
+ "rewards/accuracies": 0.6625000238418579,
426
+ "rewards/chosen": -1.2507134675979614,
427
+ "rewards/margins": 0.574081301689148,
428
+ "rewards/rejected": -1.8247950077056885,
429
+ "step": 140
430
+ },
431
+ {
432
+ "epoch": 0.3035854488353834,
433
+ "grad_norm": 10.267181544033937,
434
+ "learning_rate": 4.395355737667985e-07,
435
+ "logits/chosen": -2.9244115352630615,
436
+ "logits/rejected": -2.9088027477264404,
437
+ "logps/chosen": -1.187650203704834,
438
+ "logps/rejected": -1.6933050155639648,
439
+ "loss": -0.0981,
440
+ "rewards/accuracies": 0.643750011920929,
441
+ "rewards/chosen": -1.187650203704834,
442
+ "rewards/margins": 0.50565505027771,
443
+ "rewards/rejected": -1.6933050155639648,
444
+ "step": 145
445
+ },
446
+ {
447
+ "epoch": 0.31405391258832765,
448
+ "grad_norm": 7.725997612608294,
449
+ "learning_rate": 4.3344075855595097e-07,
450
+ "logits/chosen": -2.9658923149108887,
451
+ "logits/rejected": -2.961773157119751,
452
+ "logps/chosen": -1.0811924934387207,
453
+ "logps/rejected": -1.5781309604644775,
454
+ "loss": -0.1127,
455
+ "rewards/accuracies": 0.606249988079071,
456
+ "rewards/chosen": -1.0811924934387207,
457
+ "rewards/margins": 0.4969385266304016,
458
+ "rewards/rejected": -1.5781309604644775,
459
+ "step": 150
460
+ },
461
+ {
462
+ "epoch": 0.3245223763412719,
463
+ "grad_norm": 12.94256989389059,
464
+ "learning_rate": 4.271000354423425e-07,
465
+ "logits/chosen": -2.912257671356201,
466
+ "logits/rejected": -2.9081103801727295,
467
+ "logps/chosen": -1.1538851261138916,
468
+ "logps/rejected": -1.6617982387542725,
469
+ "loss": -0.1026,
470
+ "rewards/accuracies": 0.6875,
471
+ "rewards/chosen": -1.1538851261138916,
472
+ "rewards/margins": 0.5079129934310913,
473
+ "rewards/rejected": -1.6617982387542725,
474
+ "step": 155
475
+ },
476
+ {
477
+ "epoch": 0.33499084009421615,
478
+ "grad_norm": 13.90171157708302,
479
+ "learning_rate": 4.2052190435769554e-07,
480
+ "logits/chosen": -2.9360742568969727,
481
+ "logits/rejected": -2.9269962310791016,
482
+ "logps/chosen": -1.2122118473052979,
483
+ "logps/rejected": -1.764357328414917,
484
+ "loss": -0.1052,
485
+ "rewards/accuracies": 0.6875,
486
+ "rewards/chosen": -1.2122118473052979,
487
+ "rewards/margins": 0.5521454811096191,
488
+ "rewards/rejected": -1.764357328414917,
489
+ "step": 160
490
+ },
491
+ {
492
+ "epoch": 0.34545930384716045,
493
+ "grad_norm": 15.393753334767192,
494
+ "learning_rate": 4.137151834863213e-07,
495
+ "logits/chosen": -2.9690206050872803,
496
+ "logits/rejected": -2.9170870780944824,
497
+ "logps/chosen": -1.3134431838989258,
498
+ "logps/rejected": -1.9632434844970703,
499
+ "loss": -0.1079,
500
+ "rewards/accuracies": 0.65625,
501
+ "rewards/chosen": -1.3134431838989258,
502
+ "rewards/margins": 0.649800181388855,
503
+ "rewards/rejected": -1.9632434844970703,
504
+ "step": 165
505
+ },
506
+ {
507
+ "epoch": 0.3559277676001047,
508
+ "grad_norm": 10.80120115966252,
509
+ "learning_rate": 4.0668899744407567e-07,
510
+ "logits/chosen": -2.985761880874634,
511
+ "logits/rejected": -2.958829164505005,
512
+ "logps/chosen": -1.4966654777526855,
513
+ "logps/rejected": -2.1491572856903076,
514
+ "loss": -0.0867,
515
+ "rewards/accuracies": 0.675000011920929,
516
+ "rewards/chosen": -1.4966654777526855,
517
+ "rewards/margins": 0.6524916291236877,
518
+ "rewards/rejected": -2.1491572856903076,
519
+ "step": 170
520
+ },
521
+ {
522
+ "epoch": 0.36639623135304894,
523
+ "grad_norm": 28.803806860841444,
524
+ "learning_rate": 3.994527650465352e-07,
525
+ "logits/chosen": -2.9681310653686523,
526
+ "logits/rejected": -2.9533145427703857,
527
+ "logps/chosen": -1.4731115102767944,
528
+ "logps/rejected": -2.046133518218994,
529
+ "loss": -0.0868,
530
+ "rewards/accuracies": 0.6312500238418579,
531
+ "rewards/chosen": -1.4731115102767944,
532
+ "rewards/margins": 0.5730219483375549,
533
+ "rewards/rejected": -2.046133518218994,
534
+ "step": 175
535
+ },
536
+ {
537
+ "epoch": 0.3768646951059932,
538
+ "grad_norm": 11.655911123379951,
539
+ "learning_rate": 3.920161866827889e-07,
540
+ "logits/chosen": -2.9637484550476074,
541
+ "logits/rejected": -2.967674493789673,
542
+ "logps/chosen": -1.3848495483398438,
543
+ "logps/rejected": -1.9893649816513062,
544
+ "loss": -0.0993,
545
+ "rewards/accuracies": 0.675000011920929,
546
+ "rewards/chosen": -1.3848495483398438,
547
+ "rewards/margins": 0.6045154929161072,
548
+ "rewards/rejected": -1.9893649816513062,
549
+ "step": 180
550
+ },
551
+ {
552
+ "epoch": 0.38733315885893743,
553
+ "grad_norm": 6.9952388318039915,
554
+ "learning_rate": 3.8438923131177237e-07,
555
+ "logits/chosen": -2.9558112621307373,
556
+ "logits/rejected": -2.926105499267578,
557
+ "logps/chosen": -1.3123891353607178,
558
+ "logps/rejected": -2.181980609893799,
559
+ "loss": -0.1144,
560
+ "rewards/accuracies": 0.6499999761581421,
561
+ "rewards/chosen": -1.3123891353607178,
562
+ "rewards/margins": 0.8695914149284363,
563
+ "rewards/rejected": -2.181980609893799,
564
+ "step": 185
565
+ },
566
+ {
567
+ "epoch": 0.39780162261188173,
568
+ "grad_norm": 9.48550641226516,
569
+ "learning_rate": 3.765821230985757e-07,
570
+ "logits/chosen": -2.989470958709717,
571
+ "logits/rejected": -2.9828832149505615,
572
+ "logps/chosen": -1.266231894493103,
573
+ "logps/rejected": -1.7893718481063843,
574
+ "loss": -0.0895,
575
+ "rewards/accuracies": 0.643750011920929,
576
+ "rewards/chosen": -1.266231894493103,
577
+ "rewards/margins": 0.5231398940086365,
578
+ "rewards/rejected": -1.7893718481063843,
579
+ "step": 190
580
+ },
581
+ {
582
+ "epoch": 0.408270086364826,
583
+ "grad_norm": 7.2796641852323365,
584
+ "learning_rate": 3.6860532770864005e-07,
585
+ "logits/chosen": -2.914616346359253,
586
+ "logits/rejected": -2.923229217529297,
587
+ "logps/chosen": -1.3346220254898071,
588
+ "logps/rejected": -1.9331144094467163,
589
+ "loss": -0.099,
590
+ "rewards/accuracies": 0.6812499761581421,
591
+ "rewards/chosen": -1.3346220254898071,
592
+ "rewards/margins": 0.5984923839569092,
593
+ "rewards/rejected": -1.9331144094467163,
594
+ "step": 195
595
+ },
596
+ {
597
+ "epoch": 0.4187385501177702,
598
+ "grad_norm": 8.415181065944099,
599
+ "learning_rate": 3.604695382782159e-07,
600
+ "logits/chosen": -2.9686055183410645,
601
+ "logits/rejected": -2.97672438621521,
602
+ "logps/chosen": -1.2434272766113281,
603
+ "logps/rejected": -1.8032289743423462,
604
+ "loss": -0.1085,
605
+ "rewards/accuracies": 0.6312500238418579,
606
+ "rewards/chosen": -1.2434272766113281,
607
+ "rewards/margins": 0.5598015785217285,
608
+ "rewards/rejected": -1.8032289743423462,
609
+ "step": 200
610
+ },
611
+ {
612
+ "epoch": 0.42920701387071447,
613
+ "grad_norm": 10.248346197393374,
614
+ "learning_rate": 3.5218566107988867e-07,
615
+ "logits/chosen": -2.896049976348877,
616
+ "logits/rejected": -2.8761019706726074,
617
+ "logps/chosen": -1.1519674062728882,
618
+ "logps/rejected": -1.8064264059066772,
619
+ "loss": -0.1144,
620
+ "rewards/accuracies": 0.643750011920929,
621
+ "rewards/chosen": -1.1519674062728882,
622
+ "rewards/margins": 0.6544591188430786,
623
+ "rewards/rejected": -1.8064264059066772,
624
+ "step": 205
625
+ },
626
+ {
627
+ "epoch": 0.4396754776236587,
628
+ "grad_norm": 11.20041465175166,
629
+ "learning_rate": 3.4376480090239047e-07,
630
+ "logits/chosen": -2.915235757827759,
631
+ "logits/rejected": -2.908862590789795,
632
+ "logps/chosen": -1.3097448348999023,
633
+ "logps/rejected": -1.8037636280059814,
634
+ "loss": -0.098,
635
+ "rewards/accuracies": 0.6499999761581421,
636
+ "rewards/chosen": -1.3097448348999023,
637
+ "rewards/margins": 0.4940188527107239,
638
+ "rewards/rejected": -1.8037636280059814,
639
+ "step": 210
640
+ },
641
+ {
642
+ "epoch": 0.45014394137660296,
643
+ "grad_norm": 8.772446686382459,
644
+ "learning_rate": 3.3521824616429284e-07,
645
+ "logits/chosen": -2.946486711502075,
646
+ "logits/rejected": -2.9635918140411377,
647
+ "logps/chosen": -1.1646149158477783,
648
+ "logps/rejected": -1.9085626602172852,
649
+ "loss": -0.1115,
650
+ "rewards/accuracies": 0.78125,
651
+ "rewards/chosen": -1.1646149158477783,
652
+ "rewards/margins": 0.7439476847648621,
653
+ "rewards/rejected": -1.9085626602172852,
654
+ "step": 215
655
+ },
656
+ {
657
+ "epoch": 0.46061240512954726,
658
+ "grad_norm": 10.868521388953889,
659
+ "learning_rate": 3.265574537815398e-07,
660
+ "logits/chosen": -2.939148426055908,
661
+ "logits/rejected": -2.9385180473327637,
662
+ "logps/chosen": -1.1780840158462524,
663
+ "logps/rejected": -1.849416732788086,
664
+ "loss": -0.091,
665
+ "rewards/accuracies": 0.6937500238418579,
666
+ "rewards/chosen": -1.1780840158462524,
667
+ "rewards/margins": 0.6713327169418335,
668
+ "rewards/rejected": -1.849416732788086,
669
+ "step": 220
670
+ },
671
+ {
672
+ "epoch": 0.4710808688824915,
673
+ "grad_norm": 8.31945763461472,
674
+ "learning_rate": 3.1779403380910425e-07,
675
+ "logits/chosen": -2.9442903995513916,
676
+ "logits/rejected": -2.9341604709625244,
677
+ "logps/chosen": -1.1692168712615967,
678
+ "logps/rejected": -1.9466499090194702,
679
+ "loss": -0.1079,
680
+ "rewards/accuracies": 0.6625000238418579,
681
+ "rewards/chosen": -1.1692168712615967,
682
+ "rewards/margins": 0.7774332761764526,
683
+ "rewards/rejected": -1.9466499090194702,
684
+ "step": 225
685
+ },
686
+ {
687
+ "epoch": 0.48154933263543576,
688
+ "grad_norm": 10.106291952518397,
689
+ "learning_rate": 3.0893973387735683e-07,
690
+ "logits/chosen": -2.932600736618042,
691
+ "logits/rejected": -2.9126811027526855,
692
+ "logps/chosen": -1.2057874202728271,
693
+ "logps/rejected": -2.0929553508758545,
694
+ "loss": -0.1181,
695
+ "rewards/accuracies": 0.6937500238418579,
696
+ "rewards/chosen": -1.2057874202728271,
697
+ "rewards/margins": 0.8871678113937378,
698
+ "rewards/rejected": -2.0929553508758545,
699
+ "step": 230
700
+ },
701
+ {
702
+ "epoch": 0.49201779638838,
703
+ "grad_norm": 7.6446782498761365,
704
+ "learning_rate": 3.000064234440111e-07,
705
+ "logits/chosen": -2.9618754386901855,
706
+ "logits/rejected": -2.977595567703247,
707
+ "logps/chosen": -1.078565239906311,
708
+ "logps/rejected": -1.8398815393447876,
709
+ "loss": -0.1114,
710
+ "rewards/accuracies": 0.706250011920929,
711
+ "rewards/chosen": -1.078565239906311,
712
+ "rewards/margins": 0.7613162994384766,
713
+ "rewards/rejected": -1.8398815393447876,
714
+ "step": 235
715
+ },
716
+ {
717
+ "epoch": 0.5024862601413242,
718
+ "grad_norm": 8.30952989667027,
719
+ "learning_rate": 2.910060778827554e-07,
720
+ "logits/chosen": -2.9029111862182617,
721
+ "logits/rejected": -2.9119153022766113,
722
+ "logps/chosen": -1.1839892864227295,
723
+ "logps/rejected": -1.901410460472107,
724
+ "loss": -0.101,
725
+ "rewards/accuracies": 0.65625,
726
+ "rewards/chosen": -1.1839892864227295,
727
+ "rewards/margins": 0.7174211740493774,
728
+ "rewards/rejected": -1.901410460472107,
729
+ "step": 240
730
+ },
731
+ {
732
+ "epoch": 0.5129547238942685,
733
+ "grad_norm": 10.720317971753719,
734
+ "learning_rate": 2.8195076242990116e-07,
735
+ "logits/chosen": -2.977177143096924,
736
+ "logits/rejected": -2.937913417816162,
737
+ "logps/chosen": -1.388236403465271,
738
+ "logps/rejected": -1.9425328969955444,
739
+ "loss": -0.1149,
740
+ "rewards/accuracies": 0.612500011920929,
741
+ "rewards/chosen": -1.388236403465271,
742
+ "rewards/margins": 0.5542966723442078,
743
+ "rewards/rejected": -1.9425328969955444,
744
+ "step": 245
745
+ },
746
+ {
747
+ "epoch": 0.5234231876472127,
748
+ "grad_norm": 11.599028045358311,
749
+ "learning_rate": 2.7285261601056697e-07,
750
+ "logits/chosen": -2.8707821369171143,
751
+ "logits/rejected": -2.8736767768859863,
752
+ "logps/chosen": -1.2170326709747314,
753
+ "logps/rejected": -2.0088775157928467,
754
+ "loss": -0.1132,
755
+ "rewards/accuracies": 0.71875,
756
+ "rewards/chosen": -1.2170326709747314,
757
+ "rewards/margins": 0.7918451428413391,
758
+ "rewards/rejected": -2.0088775157928467,
759
+ "step": 250
760
+ },
761
+ {
762
+ "epoch": 0.533891651400157,
763
+ "grad_norm": 6.767222970874098,
764
+ "learning_rate": 2.6372383496608186e-07,
765
+ "logits/chosen": -2.9382269382476807,
766
+ "logits/rejected": -2.917163133621216,
767
+ "logps/chosen": -1.354477882385254,
768
+ "logps/rejected": -2.248412609100342,
769
+ "loss": -0.1329,
770
+ "rewards/accuracies": 0.637499988079071,
771
+ "rewards/chosen": -1.354477882385254,
772
+ "rewards/margins": 0.8939343690872192,
773
+ "rewards/rejected": -2.248412609100342,
774
+ "step": 255
775
+ },
776
+ {
777
+ "epoch": 0.5443601151531012,
778
+ "grad_norm": 9.238458870241827,
779
+ "learning_rate": 2.5457665670441937e-07,
780
+ "logits/chosen": -2.8694167137145996,
781
+ "logits/rejected": -2.845099687576294,
782
+ "logps/chosen": -1.115337610244751,
783
+ "logps/rejected": -2.19693660736084,
784
+ "loss": -0.1178,
785
+ "rewards/accuracies": 0.7124999761581421,
786
+ "rewards/chosen": -1.115337610244751,
787
+ "rewards/margins": 1.0815991163253784,
788
+ "rewards/rejected": -2.19693660736084,
789
+ "step": 260
790
+ },
791
+ {
792
+ "epoch": 0.5548285789060455,
793
+ "grad_norm": 13.4888484700747,
794
+ "learning_rate": 2.454233432955807e-07,
795
+ "logits/chosen": -2.9096131324768066,
796
+ "logits/rejected": -2.910264492034912,
797
+ "logps/chosen": -1.3030673265457153,
798
+ "logps/rejected": -1.8178091049194336,
799
+ "loss": -0.1209,
800
+ "rewards/accuracies": 0.6812499761581421,
801
+ "rewards/chosen": -1.3030673265457153,
802
+ "rewards/margins": 0.5147419571876526,
803
+ "rewards/rejected": -1.8178091049194336,
804
+ "step": 265
805
+ },
806
+ {
807
+ "epoch": 0.5652970426589898,
808
+ "grad_norm": 8.160151674440302,
809
+ "learning_rate": 2.3627616503391812e-07,
810
+ "logits/chosen": -2.918236017227173,
811
+ "logits/rejected": -2.903280019760132,
812
+ "logps/chosen": -1.3952782154083252,
813
+ "logps/rejected": -1.8908274173736572,
814
+ "loss": -0.0979,
815
+ "rewards/accuracies": 0.65625,
816
+ "rewards/chosen": -1.3952782154083252,
817
+ "rewards/margins": 0.4955490529537201,
818
+ "rewards/rejected": -1.8908274173736572,
819
+ "step": 270
820
+ },
821
+ {
822
+ "epoch": 0.575765506411934,
823
+ "grad_norm": 6.322203620140199,
824
+ "learning_rate": 2.2714738398943308e-07,
825
+ "logits/chosen": -2.9722788333892822,
826
+ "logits/rejected": -2.9391684532165527,
827
+ "logps/chosen": -1.161834716796875,
828
+ "logps/rejected": -2.083416700363159,
829
+ "loss": -0.1238,
830
+ "rewards/accuracies": 0.7250000238418579,
831
+ "rewards/chosen": -1.161834716796875,
832
+ "rewards/margins": 0.9215821027755737,
833
+ "rewards/rejected": -2.083416700363159,
834
+ "step": 275
835
+ },
836
+ {
837
+ "epoch": 0.5862339701648783,
838
+ "grad_norm": 14.761253087712326,
839
+ "learning_rate": 2.1804923757009882e-07,
840
+ "logits/chosen": -2.990624189376831,
841
+ "logits/rejected": -3.004688024520874,
842
+ "logps/chosen": -1.219523549079895,
843
+ "logps/rejected": -2.0012402534484863,
844
+ "loss": -0.11,
845
+ "rewards/accuracies": 0.7124999761581421,
846
+ "rewards/chosen": -1.219523549079895,
847
+ "rewards/margins": 0.7817164659500122,
848
+ "rewards/rejected": -2.0012402534484863,
849
+ "step": 280
850
+ },
851
+ {
852
+ "epoch": 0.5967024339178225,
853
+ "grad_norm": 7.781855024216495,
854
+ "learning_rate": 2.089939221172446e-07,
855
+ "logits/chosen": -2.9097352027893066,
856
+ "logits/rejected": -2.9420933723449707,
857
+ "logps/chosen": -1.2899097204208374,
858
+ "logps/rejected": -2.0939292907714844,
859
+ "loss": -0.1177,
860
+ "rewards/accuracies": 0.6937500238418579,
861
+ "rewards/chosen": -1.2899097204208374,
862
+ "rewards/margins": 0.8040194511413574,
863
+ "rewards/rejected": -2.0939292907714844,
864
+ "step": 285
865
+ },
866
+ {
867
+ "epoch": 0.6071708976707668,
868
+ "grad_norm": 12.655201514814673,
869
+ "learning_rate": 1.9999357655598891e-07,
870
+ "logits/chosen": -2.9253571033477783,
871
+ "logits/rejected": -2.953551769256592,
872
+ "logps/chosen": -1.3859082460403442,
873
+ "logps/rejected": -2.3072381019592285,
874
+ "loss": -0.1299,
875
+ "rewards/accuracies": 0.7124999761581421,
876
+ "rewards/chosen": -1.3859082460403442,
877
+ "rewards/margins": 0.9213299751281738,
878
+ "rewards/rejected": -2.3072381019592285,
879
+ "step": 290
880
+ },
881
+ {
882
+ "epoch": 0.6176393614237111,
883
+ "grad_norm": 11.433352540875402,
884
+ "learning_rate": 1.9106026612264315e-07,
885
+ "logits/chosen": -2.966884136199951,
886
+ "logits/rejected": -2.9579386711120605,
887
+ "logps/chosen": -1.3356444835662842,
888
+ "logps/rejected": -2.194772481918335,
889
+ "loss": -0.1222,
890
+ "rewards/accuracies": 0.6937500238418579,
891
+ "rewards/chosen": -1.3356444835662842,
892
+ "rewards/margins": 0.8591278791427612,
893
+ "rewards/rejected": -2.194772481918335,
894
+ "step": 295
895
+ },
896
+ {
897
+ "epoch": 0.6281078251766553,
898
+ "grad_norm": 13.654932341283944,
899
+ "learning_rate": 1.8220596619089573e-07,
900
+ "logits/chosen": -2.896115779876709,
901
+ "logits/rejected": -2.908766508102417,
902
+ "logps/chosen": -1.2968409061431885,
903
+ "logps/rejected": -2.0684666633605957,
904
+ "loss": -0.1182,
905
+ "rewards/accuracies": 0.6937500238418579,
906
+ "rewards/chosen": -1.2968409061431885,
907
+ "rewards/margins": 0.771625816822052,
908
+ "rewards/rejected": -2.0684666633605957,
909
+ "step": 300
910
+ },
911
+ {
912
+ "epoch": 0.6385762889295996,
913
+ "grad_norm": 22.023298266121166,
914
+ "learning_rate": 1.7344254621846017e-07,
915
+ "logits/chosen": -2.8941891193389893,
916
+ "logits/rejected": -2.9071710109710693,
917
+ "logps/chosen": -1.4331861734390259,
918
+ "logps/rejected": -2.3704934120178223,
919
+ "loss": -0.1296,
920
+ "rewards/accuracies": 0.7250000238418579,
921
+ "rewards/chosen": -1.4331861734390259,
922
+ "rewards/margins": 0.9373072385787964,
923
+ "rewards/rejected": -2.3704934120178223,
924
+ "step": 305
925
+ },
926
+ {
927
+ "epoch": 0.6490447526825438,
928
+ "grad_norm": 27.97440416354687,
929
+ "learning_rate": 1.647817538357072e-07,
930
+ "logits/chosen": -2.9143924713134766,
931
+ "logits/rejected": -2.9330332279205322,
932
+ "logps/chosen": -1.33648681640625,
933
+ "logps/rejected": -2.2400500774383545,
934
+ "loss": -0.123,
935
+ "rewards/accuracies": 0.6937500238418579,
936
+ "rewards/chosen": -1.33648681640625,
937
+ "rewards/margins": 0.9035631418228149,
938
+ "rewards/rejected": -2.2400500774383545,
939
+ "step": 310
940
+ },
941
+ {
942
+ "epoch": 0.6595132164354881,
943
+ "grad_norm": 15.481739945463392,
944
+ "learning_rate": 1.562351990976095e-07,
945
+ "logits/chosen": -2.910585641860962,
946
+ "logits/rejected": -2.9256134033203125,
947
+ "logps/chosen": -1.3004146814346313,
948
+ "logps/rejected": -2.403611660003662,
949
+ "loss": -0.129,
950
+ "rewards/accuracies": 0.762499988079071,
951
+ "rewards/chosen": -1.3004146814346313,
952
+ "rewards/margins": 1.1031970977783203,
953
+ "rewards/rejected": -2.403611660003662,
954
+ "step": 315
955
+ },
956
+ {
957
+ "epoch": 0.6699816801884323,
958
+ "grad_norm": 18.909069627054414,
959
+ "learning_rate": 1.478143389201113e-07,
960
+ "logits/chosen": -2.923509359359741,
961
+ "logits/rejected": -2.921705961227417,
962
+ "logps/chosen": -1.3893711566925049,
963
+ "logps/rejected": -2.168813467025757,
964
+ "loss": -0.1115,
965
+ "rewards/accuracies": 0.6625000238418579,
966
+ "rewards/chosen": -1.3893711566925049,
967
+ "rewards/margins": 0.7794424295425415,
968
+ "rewards/rejected": -2.168813467025757,
969
+ "step": 320
970
+ },
971
+ {
972
+ "epoch": 0.6804501439413766,
973
+ "grad_norm": 11.847316888557176,
974
+ "learning_rate": 1.3953046172178413e-07,
975
+ "logits/chosen": -2.913099765777588,
976
+ "logits/rejected": -2.9084200859069824,
977
+ "logps/chosen": -1.4098222255706787,
978
+ "logps/rejected": -2.1918272972106934,
979
+ "loss": -0.1317,
980
+ "rewards/accuracies": 0.625,
981
+ "rewards/chosen": -1.4098222255706787,
982
+ "rewards/margins": 0.7820051908493042,
983
+ "rewards/rejected": -2.1918272972106934,
984
+ "step": 325
985
+ },
986
+ {
987
+ "epoch": 0.6909186076943209,
988
+ "grad_norm": 9.579695107141715,
989
+ "learning_rate": 1.3139467229135998e-07,
990
+ "logits/chosen": -2.878218173980713,
991
+ "logits/rejected": -2.89180326461792,
992
+ "logps/chosen": -1.301692247390747,
993
+ "logps/rejected": -1.9922940731048584,
994
+ "loss": -0.1099,
995
+ "rewards/accuracies": 0.6625000238418579,
996
+ "rewards/chosen": -1.301692247390747,
997
+ "rewards/margins": 0.69060218334198,
998
+ "rewards/rejected": -1.9922940731048584,
999
+ "step": 330
1000
+ },
1001
+ {
1002
+ "epoch": 0.7013870714472651,
1003
+ "grad_norm": 8.934316314851877,
1004
+ "learning_rate": 1.2341787690142435e-07,
1005
+ "logits/chosen": -2.977961301803589,
1006
+ "logits/rejected": -2.9634194374084473,
1007
+ "logps/chosen": -1.2622421979904175,
1008
+ "logps/rejected": -2.0908942222595215,
1009
+ "loss": -0.1114,
1010
+ "rewards/accuracies": 0.65625,
1011
+ "rewards/chosen": -1.2622421979904175,
1012
+ "rewards/margins": 0.8286520838737488,
1013
+ "rewards/rejected": -2.0908942222595215,
1014
+ "step": 335
1015
+ },
1016
+ {
1017
+ "epoch": 0.7118555352002094,
1018
+ "grad_norm": 11.133085955243153,
1019
+ "learning_rate": 1.1561076868822755e-07,
1020
+ "logits/chosen": -2.903007984161377,
1021
+ "logits/rejected": -2.8985226154327393,
1022
+ "logps/chosen": -1.5628604888916016,
1023
+ "logps/rejected": -2.234027147293091,
1024
+ "loss": -0.1115,
1025
+ "rewards/accuracies": 0.612500011920929,
1026
+ "rewards/chosen": -1.5628604888916016,
1027
+ "rewards/margins": 0.671166718006134,
1028
+ "rewards/rejected": -2.234027147293091,
1029
+ "step": 340
1030
+ },
1031
+ {
1032
+ "epoch": 0.7223239989531536,
1033
+ "grad_norm": 27.176229278437233,
1034
+ "learning_rate": 1.0798381331721107e-07,
1035
+ "logits/chosen": -2.941560983657837,
1036
+ "logits/rejected": -2.95886492729187,
1037
+ "logps/chosen": -1.335837483406067,
1038
+ "logps/rejected": -2.2514700889587402,
1039
+ "loss": -0.1117,
1040
+ "rewards/accuracies": 0.6187499761581421,
1041
+ "rewards/chosen": -1.335837483406067,
1042
+ "rewards/margins": 0.915632426738739,
1043
+ "rewards/rejected": -2.2514700889587402,
1044
+ "step": 345
1045
+ },
1046
+ {
1047
+ "epoch": 0.7327924627060979,
1048
+ "grad_norm": 11.273733320111317,
1049
+ "learning_rate": 1.0054723495346482e-07,
1050
+ "logits/chosen": -2.922356605529785,
1051
+ "logits/rejected": -2.9291598796844482,
1052
+ "logps/chosen": -1.3571909666061401,
1053
+ "logps/rejected": -2.2206640243530273,
1054
+ "loss": -0.1083,
1055
+ "rewards/accuracies": 0.625,
1056
+ "rewards/chosen": -1.3571909666061401,
1057
+ "rewards/margins": 0.8634729385375977,
1058
+ "rewards/rejected": -2.2206640243530273,
1059
+ "step": 350
1060
+ },
1061
+ {
1062
+ "epoch": 0.7432609264590422,
1063
+ "grad_norm": 8.643223960419931,
1064
+ "learning_rate": 9.331100255592436e-08,
1065
+ "logits/chosen": -2.921978712081909,
1066
+ "logits/rejected": -2.928036689758301,
1067
+ "logps/chosen": -1.165281057357788,
1068
+ "logps/rejected": -2.1931347846984863,
1069
+ "loss": -0.1233,
1070
+ "rewards/accuracies": 0.737500011920929,
1071
+ "rewards/chosen": -1.165281057357788,
1072
+ "rewards/margins": 1.0278538465499878,
1073
+ "rewards/rejected": -2.1931347846984863,
1074
+ "step": 355
1075
+ },
1076
+ {
1077
+ "epoch": 0.7537293902119864,
1078
+ "grad_norm": 7.265083364287583,
1079
+ "learning_rate": 8.628481651367875e-08,
1080
+ "logits/chosen": -2.9317374229431152,
1081
+ "logits/rejected": -2.9432830810546875,
1082
+ "logps/chosen": -1.1699204444885254,
1083
+ "logps/rejected": -1.848118543624878,
1084
+ "loss": -0.1182,
1085
+ "rewards/accuracies": 0.6312500238418579,
1086
+ "rewards/chosen": -1.1699204444885254,
1087
+ "rewards/margins": 0.6781980395317078,
1088
+ "rewards/rejected": -1.848118543624878,
1089
+ "step": 360
1090
+ },
1091
+ {
1092
+ "epoch": 0.7641978539649307,
1093
+ "grad_norm": 10.732814114542823,
1094
+ "learning_rate": 7.947809564230445e-08,
1095
+ "logits/chosen": -2.8792500495910645,
1096
+ "logits/rejected": -2.859135866165161,
1097
+ "logps/chosen": -1.356421709060669,
1098
+ "logps/rejected": -2.247119903564453,
1099
+ "loss": -0.1246,
1100
+ "rewards/accuracies": 0.7250000238418579,
1101
+ "rewards/chosen": -1.356421709060669,
1102
+ "rewards/margins": 0.8906981348991394,
1103
+ "rewards/rejected": -2.247119903564453,
1104
+ "step": 365
1105
+ },
1106
+ {
1107
+ "epoch": 0.7746663177178749,
1108
+ "grad_norm": 23.67344548337751,
1109
+ "learning_rate": 7.289996455765748e-08,
1110
+ "logits/chosen": -2.941410541534424,
1111
+ "logits/rejected": -2.9354825019836426,
1112
+ "logps/chosen": -1.300153374671936,
1113
+ "logps/rejected": -2.333343982696533,
1114
+ "loss": -0.1296,
1115
+ "rewards/accuracies": 0.706250011920929,
1116
+ "rewards/chosen": -1.300153374671936,
1117
+ "rewards/margins": 1.0331909656524658,
1118
+ "rewards/rejected": -2.333343982696533,
1119
+ "step": 370
1120
+ },
1121
+ {
1122
+ "epoch": 0.7851347814708192,
1123
+ "grad_norm": 16.50894336718241,
1124
+ "learning_rate": 6.655924144404906e-08,
1125
+ "logits/chosen": -2.947685956954956,
1126
+ "logits/rejected": -2.9544997215270996,
1127
+ "logps/chosen": -1.372989535331726,
1128
+ "logps/rejected": -2.1334853172302246,
1129
+ "loss": -0.1197,
1130
+ "rewards/accuracies": 0.637499988079071,
1131
+ "rewards/chosen": -1.372989535331726,
1132
+ "rewards/margins": 0.7604957818984985,
1133
+ "rewards/rejected": -2.1334853172302246,
1134
+ "step": 375
1135
+ },
1136
+ {
1137
+ "epoch": 0.7956032452237635,
1138
+ "grad_norm": 7.038795457682623,
1139
+ "learning_rate": 6.046442623320145e-08,
1140
+ "logits/chosen": -2.9626219272613525,
1141
+ "logits/rejected": -2.918588161468506,
1142
+ "logps/chosen": -1.3632184267044067,
1143
+ "logps/rejected": -2.0963335037231445,
1144
+ "loss": -0.1351,
1145
+ "rewards/accuracies": 0.643750011920929,
1146
+ "rewards/chosen": -1.3632184267044067,
1147
+ "rewards/margins": 0.7331152558326721,
1148
+ "rewards/rejected": -2.0963335037231445,
1149
+ "step": 380
1150
+ },
1151
+ {
1152
+ "epoch": 0.8060717089767077,
1153
+ "grad_norm": 61.45840490249221,
1154
+ "learning_rate": 5.4623689209832484e-08,
1155
+ "logits/chosen": -2.9400558471679688,
1156
+ "logits/rejected": -2.9316763877868652,
1157
+ "logps/chosen": -1.2261004447937012,
1158
+ "logps/rejected": -1.9760372638702393,
1159
+ "loss": -0.1311,
1160
+ "rewards/accuracies": 0.668749988079071,
1161
+ "rewards/chosen": -1.2261004447937012,
1162
+ "rewards/margins": 0.7499366998672485,
1163
+ "rewards/rejected": -1.9760372638702393,
1164
+ "step": 385
1165
+ },
1166
+ {
1167
+ "epoch": 0.816540172729652,
1168
+ "grad_norm": 11.104870225126671,
1169
+ "learning_rate": 4.904486005914027e-08,
1170
+ "logits/chosen": -2.9536826610565186,
1171
+ "logits/rejected": -2.9647164344787598,
1172
+ "logps/chosen": -1.1496851444244385,
1173
+ "logps/rejected": -2.2672224044799805,
1174
+ "loss": -0.1224,
1175
+ "rewards/accuracies": 0.7250000238418579,
1176
+ "rewards/chosen": -1.1496851444244385,
1177
+ "rewards/margins": 1.1175371408462524,
1178
+ "rewards/rejected": -2.2672224044799805,
1179
+ "step": 390
1180
+ },
1181
+ {
1182
+ "epoch": 0.8270086364825961,
1183
+ "grad_norm": 10.67768391888189,
1184
+ "learning_rate": 4.373541737087263e-08,
1185
+ "logits/chosen": -2.8797359466552734,
1186
+ "logits/rejected": -2.900519847869873,
1187
+ "logps/chosen": -1.1874008178710938,
1188
+ "logps/rejected": -2.000943183898926,
1189
+ "loss": -0.1076,
1190
+ "rewards/accuracies": 0.71875,
1191
+ "rewards/chosen": -1.1874008178710938,
1192
+ "rewards/margins": 0.8135424852371216,
1193
+ "rewards/rejected": -2.000943183898926,
1194
+ "step": 395
1195
+ },
1196
+ {
1197
+ "epoch": 0.8374771002355405,
1198
+ "grad_norm": 9.9535498994722,
1199
+ "learning_rate": 3.8702478614051345e-08,
1200
+ "logits/chosen": -2.876695156097412,
1201
+ "logits/rejected": -2.8730883598327637,
1202
+ "logps/chosen": -1.2059592008590698,
1203
+ "logps/rejected": -1.958923101425171,
1204
+ "loss": -0.1152,
1205
+ "rewards/accuracies": 0.6625000238418579,
1206
+ "rewards/chosen": -1.2059592008590698,
1207
+ "rewards/margins": 0.7529637813568115,
1208
+ "rewards/rejected": -1.958923101425171,
1209
+ "step": 400
1210
+ },
1211
+ {
1212
+ "epoch": 0.8479455639884846,
1213
+ "grad_norm": 14.041238838857938,
1214
+ "learning_rate": 3.3952790595787986e-08,
1215
+ "logits/chosen": -2.9533257484436035,
1216
+ "logits/rejected": -2.954756498336792,
1217
+ "logps/chosen": -1.3264501094818115,
1218
+ "logps/rejected": -2.21103572845459,
1219
+ "loss": -0.1076,
1220
+ "rewards/accuracies": 0.625,
1221
+ "rewards/chosen": -1.3264501094818115,
1222
+ "rewards/margins": 0.8845857381820679,
1223
+ "rewards/rejected": -2.21103572845459,
1224
+ "step": 405
1225
+ },
1226
+ {
1227
+ "epoch": 0.8584140277414289,
1228
+ "grad_norm": 9.61660903668533,
1229
+ "learning_rate": 2.9492720416985e-08,
1230
+ "logits/chosen": -2.957660675048828,
1231
+ "logits/rejected": -2.9421029090881348,
1232
+ "logps/chosen": -1.1808087825775146,
1233
+ "logps/rejected": -1.8946870565414429,
1234
+ "loss": -0.1219,
1235
+ "rewards/accuracies": 0.637499988079071,
1236
+ "rewards/chosen": -1.1808087825775146,
1237
+ "rewards/margins": 0.713878333568573,
1238
+ "rewards/rejected": -1.8946870565414429,
1239
+ "step": 410
1240
+ },
1241
+ {
1242
+ "epoch": 0.8688824914943732,
1243
+ "grad_norm": 13.35171463730949,
1244
+ "learning_rate": 2.5328246937043525e-08,
1245
+ "logits/chosen": -3.0037460327148438,
1246
+ "logits/rejected": -3.0106940269470215,
1247
+ "logps/chosen": -1.2479138374328613,
1248
+ "logps/rejected": -2.1456570625305176,
1249
+ "loss": -0.1291,
1250
+ "rewards/accuracies": 0.706250011920929,
1251
+ "rewards/chosen": -1.2479138374328613,
1252
+ "rewards/margins": 0.8977430462837219,
1253
+ "rewards/rejected": -2.1456570625305176,
1254
+ "step": 415
1255
+ },
1256
+ {
1257
+ "epoch": 0.8793509552473174,
1258
+ "grad_norm": 8.237171381765927,
1259
+ "learning_rate": 2.1464952759020856e-08,
1260
+ "logits/chosen": -2.9479126930236816,
1261
+ "logits/rejected": -2.939549207687378,
1262
+ "logps/chosen": -1.2511965036392212,
1263
+ "logps/rejected": -2.1256661415100098,
1264
+ "loss": -0.1115,
1265
+ "rewards/accuracies": 0.6499999761581421,
1266
+ "rewards/chosen": -1.2511965036392212,
1267
+ "rewards/margins": 0.8744699358940125,
1268
+ "rewards/rejected": -2.1256661415100098,
1269
+ "step": 420
1270
+ },
1271
+ {
1272
+ "epoch": 0.8898194190002617,
1273
+ "grad_norm": 14.905412422914672,
1274
+ "learning_rate": 1.7908016745981856e-08,
1275
+ "logits/chosen": -2.9071784019470215,
1276
+ "logits/rejected": -2.9462032318115234,
1277
+ "logps/chosen": -1.3677804470062256,
1278
+ "logps/rejected": -2.20474910736084,
1279
+ "loss": -0.129,
1280
+ "rewards/accuracies": 0.637499988079071,
1281
+ "rewards/chosen": -1.3677804470062256,
1282
+ "rewards/margins": 0.8369685411453247,
1283
+ "rewards/rejected": -2.20474910736084,
1284
+ "step": 425
1285
+ },
1286
+ {
1287
+ "epoch": 0.9002878827532059,
1288
+ "grad_norm": 12.518203010975816,
1289
+ "learning_rate": 1.4662207078575684e-08,
1290
+ "logits/chosen": -2.886582612991333,
1291
+ "logits/rejected": -2.894714832305908,
1292
+ "logps/chosen": -1.333262324333191,
1293
+ "logps/rejected": -2.2248027324676514,
1294
+ "loss": -0.1169,
1295
+ "rewards/accuracies": 0.65625,
1296
+ "rewards/chosen": -1.333262324333191,
1297
+ "rewards/margins": 0.8915404081344604,
1298
+ "rewards/rejected": -2.2248027324676514,
1299
+ "step": 430
1300
+ },
1301
+ {
1302
+ "epoch": 0.9107563465061502,
1303
+ "grad_norm": 19.29597280415641,
1304
+ "learning_rate": 1.1731874863145142e-08,
1305
+ "logits/chosen": -2.9716782569885254,
1306
+ "logits/rejected": -2.9714698791503906,
1307
+ "logps/chosen": -1.3335239887237549,
1308
+ "logps/rejected": -2.1658711433410645,
1309
+ "loss": -0.1292,
1310
+ "rewards/accuracies": 0.706250011920929,
1311
+ "rewards/chosen": -1.3335239887237549,
1312
+ "rewards/margins": 0.8323470950126648,
1313
+ "rewards/rejected": -2.1658711433410645,
1314
+ "step": 435
1315
+ },
1316
+ {
1317
+ "epoch": 0.9212248102590945,
1318
+ "grad_norm": 12.085590006123791,
1319
+ "learning_rate": 9.12094829893642e-09,
1320
+ "logits/chosen": -2.91271710395813,
1321
+ "logits/rejected": -2.922774076461792,
1322
+ "logps/chosen": -1.2182632684707642,
1323
+ "logps/rejected": -2.144477367401123,
1324
+ "loss": -0.1285,
1325
+ "rewards/accuracies": 0.706250011920929,
1326
+ "rewards/chosen": -1.2182632684707642,
1327
+ "rewards/margins": 0.9262140393257141,
1328
+ "rewards/rejected": -2.144477367401123,
1329
+ "step": 440
1330
+ },
1331
+ {
1332
+ "epoch": 0.9316932740120387,
1333
+ "grad_norm": 12.169327202340588,
1334
+ "learning_rate": 6.832927412229017e-09,
1335
+ "logits/chosen": -2.9808132648468018,
1336
+ "logits/rejected": -2.9507627487182617,
1337
+ "logps/chosen": -1.3045051097869873,
1338
+ "logps/rejected": -2.0467162132263184,
1339
+ "loss": -0.1058,
1340
+ "rewards/accuracies": 0.6499999761581421,
1341
+ "rewards/chosen": -1.3045051097869873,
1342
+ "rewards/margins": 0.7422109246253967,
1343
+ "rewards/rejected": -2.0467162132263184,
1344
+ "step": 445
1345
+ },
1346
+ {
1347
+ "epoch": 0.942161737764983,
1348
+ "grad_norm": 7.578781116399002,
1349
+ "learning_rate": 4.8708793644441086e-09,
1350
+ "logits/chosen": -2.861370086669922,
1351
+ "logits/rejected": -2.8586971759796143,
1352
+ "logps/chosen": -1.26282799243927,
1353
+ "logps/rejected": -2.12613844871521,
1354
+ "loss": -0.1329,
1355
+ "rewards/accuracies": 0.6812499761581421,
1356
+ "rewards/chosen": -1.26282799243927,
1357
+ "rewards/margins": 0.8633106350898743,
1358
+ "rewards/rejected": -2.12613844871521,
1359
+ "step": 450
1360
+ },
1361
+ {
1362
+ "epoch": 0.9526302015179272,
1363
+ "grad_norm": 15.590655526363935,
1364
+ "learning_rate": 3.2374343405217884e-09,
1365
+ "logits/chosen": -2.943765163421631,
1366
+ "logits/rejected": -2.9257071018218994,
1367
+ "logps/chosen": -1.4191820621490479,
1368
+ "logps/rejected": -2.1226634979248047,
1369
+ "loss": -0.1276,
1370
+ "rewards/accuracies": 0.6812499761581421,
1371
+ "rewards/chosen": -1.4191820621490479,
1372
+ "rewards/margins": 0.7034814953804016,
1373
+ "rewards/rejected": -2.1226634979248047,
1374
+ "step": 455
1375
+ },
1376
+ {
1377
+ "epoch": 0.9630986652708715,
1378
+ "grad_norm": 7.099005793414053,
1379
+ "learning_rate": 1.9347820230782295e-09,
1380
+ "logits/chosen": -2.9480669498443604,
1381
+ "logits/rejected": -2.95448637008667,
1382
+ "logps/chosen": -1.2225438356399536,
1383
+ "logps/rejected": -2.0639634132385254,
1384
+ "loss": -0.1163,
1385
+ "rewards/accuracies": 0.6625000238418579,
1386
+ "rewards/chosen": -1.2225438356399536,
1387
+ "rewards/margins": 0.841419517993927,
1388
+ "rewards/rejected": -2.0639634132385254,
1389
+ "step": 460
1390
+ },
1391
+ {
1392
+ "epoch": 0.9735671290238157,
1393
+ "grad_norm": 9.4638677347299,
1394
+ "learning_rate": 9.64668657069706e-10,
1395
+ "logits/chosen": -2.9739177227020264,
1396
+ "logits/rejected": -2.964212656021118,
1397
+ "logps/chosen": -1.31159245967865,
1398
+ "logps/rejected": -2.171808958053589,
1399
+ "loss": -0.1218,
1400
+ "rewards/accuracies": 0.699999988079071,
1401
+ "rewards/chosen": -1.31159245967865,
1402
+ "rewards/margins": 0.860216498374939,
1403
+ "rewards/rejected": -2.171808958053589,
1404
+ "step": 465
1405
+ },
1406
+ {
1407
+ "epoch": 0.98403559277676,
1408
+ "grad_norm": 25.34970183074257,
1409
+ "learning_rate": 3.2839470889836627e-10,
1410
+ "logits/chosen": -2.919668674468994,
1411
+ "logits/rejected": -2.907841920852661,
1412
+ "logps/chosen": -1.2385847568511963,
1413
+ "logps/rejected": -1.978467583656311,
1414
+ "loss": -0.1103,
1415
+ "rewards/accuracies": 0.706250011920929,
1416
+ "rewards/chosen": -1.2385847568511963,
1417
+ "rewards/margins": 0.7398825883865356,
1418
+ "rewards/rejected": -1.978467583656311,
1419
+ "step": 470
1420
+ },
1421
+ {
1422
+ "epoch": 0.9945040565297043,
1423
+ "grad_norm": 15.471089020268318,
1424
+ "learning_rate": 2.6813123097352287e-11,
1425
+ "logits/chosen": -2.9793272018432617,
1426
+ "logits/rejected": -2.9733455181121826,
1427
+ "logps/chosen": -1.2928240299224854,
1428
+ "logps/rejected": -2.0769708156585693,
1429
+ "loss": -0.1079,
1430
+ "rewards/accuracies": 0.625,
1431
+ "rewards/chosen": -1.2928240299224854,
1432
+ "rewards/margins": 0.7841470241546631,
1433
+ "rewards/rejected": -2.0769708156585693,
1434
+ "step": 475
1435
+ },
1436
+ {
1437
+ "epoch": 0.998691442030882,
1438
+ "step": 477,
1439
+ "total_flos": 0.0,
1440
+ "train_loss": -0.10079137468612918,
1441
+ "train_runtime": 7720.3379,
1442
+ "train_samples_per_second": 7.919,
1443
+ "train_steps_per_second": 0.062
1444
+ }
1445
+ ],
1446
+ "logging_steps": 5,
1447
+ "max_steps": 477,
1448
+ "num_input_tokens_seen": 0,
1449
+ "num_train_epochs": 1,
1450
+ "save_steps": 1000000,
1451
+ "total_flos": 0.0,
1452
+ "train_batch_size": 2,
1453
+ "trial_name": null,
1454
+ "trial_params": null
1455
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4aad14aa4826a5f8666c87c63bfaeba317f0a12f7a75b51377469f888a1471bd
3
+ size 7160