TTTXXX01 commited on
Commit
5235dd6
1 Parent(s): 5983230

Model save

Browse files
README.md ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ base_model: TTTXXX01/All_like-zephyr-7b-sft-full
4
+ tags:
5
+ - trl
6
+ - dpo
7
+ - generated_from_trainer
8
+ model-index:
9
+ - name: Bernoulli_Like_Negative1-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
+ # Bernoulli_Like_Negative1-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: 3e-07
38
+ - train_batch_size: 6
39
+ - eval_batch_size: 4
40
+ - seed: 42
41
+ - distributed_type: multi-GPU
42
+ - num_devices: 4
43
+ - gradient_accumulation_steps: 2
44
+ - total_train_batch_size: 48
45
+ - total_eval_batch_size: 16
46
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
47
+ - lr_scheduler_type: cosine
48
+ - lr_scheduler_warmup_ratio: 0.1
49
+ - num_epochs: 1
50
+
51
+ ### Training results
52
+
53
+
54
+
55
+ ### Framework versions
56
+
57
+ - Transformers 4.41.2
58
+ - Pytorch 2.2.2+cu118
59
+ - Datasets 2.19.2
60
+ - Tokenizers 0.19.1
all_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 0.0,
4
+ "train_loss": 1.6157182269792543,
5
+ "train_runtime": 13119.408,
6
+ "train_samples": 61135,
7
+ "train_samples_per_second": 4.66,
8
+ "train_steps_per_second": 0.097
9
+ }
config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "TTTXXX01/All_like-zephyr-7b-sft-full",
3
+ "architectures": [
4
+ "MistralForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 1,
8
+ "eos_token_id": 2,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 4096,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 14336,
13
+ "max_position_embeddings": 32768,
14
+ "model_type": "mistral",
15
+ "num_attention_heads": 32,
16
+ "num_hidden_layers": 32,
17
+ "num_key_value_heads": 8,
18
+ "rms_norm_eps": 1e-05,
19
+ "rope_theta": 10000.0,
20
+ "sliding_window": 4096,
21
+ "tie_word_embeddings": false,
22
+ "torch_dtype": "bfloat16",
23
+ "transformers_version": "4.41.2",
24
+ "use_cache": false,
25
+ "vocab_size": 32000
26
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.41.2"
6
+ }
model-00001-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:430a39f32e2a7a006dcddaf08b02ccd13603fbcaf64cd69c809c36efc84e7fe9
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:b1ca31b60aeda6e8c2f715b7852c2039ae214ae085a6de9f934ff667b3a4f0c8
3
+ size 4999819336
model-00003-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6e07b4e875115187b38c56281ba56c4a30377493496a739910e9008e16c0ee14
3
+ size 4540516344
model.safetensors.index.json ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 14483464192
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00003-of-00003.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00003.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
13
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
14
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
15
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
16
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
17
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
18
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
19
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
20
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
21
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
22
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
23
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
24
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
25
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
26
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00003.safetensors",
27
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
28
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
29
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
30
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
31
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
32
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
33
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
34
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
35
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
36
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
37
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
38
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
39
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
40
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
41
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
42
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
43
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
44
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
45
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
46
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
47
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
48
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
49
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
50
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
51
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
52
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
53
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
54
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
55
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
56
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
57
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
58
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
59
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
60
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
61
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
62
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
63
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
64
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
65
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
66
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
67
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
68
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
69
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
70
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
71
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
72
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
73
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
74
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
75
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
76
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
77
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
78
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
79
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
80
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
81
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
82
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
83
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
84
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
85
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
86
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
87
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
88
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
89
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
90
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
91
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
92
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
93
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
94
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
95
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
96
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
97
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
98
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
99
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
100
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
101
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
102
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
103
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
104
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
105
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
106
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
107
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors",
108
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
109
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
110
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
111
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
112
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
113
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
114
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
115
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
116
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
117
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
118
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
119
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
120
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
121
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
122
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
123
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
124
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
125
+ "model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors",
126
+ "model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
127
+ "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
128
+ "model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
129
+ "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
130
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
131
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
132
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
133
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
134
+ "model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors",
135
+ "model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
136
+ "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
137
+ "model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
138
+ "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
139
+ "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
140
+ "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
141
+ "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
142
+ "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
143
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00003.safetensors",
144
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
145
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
146
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
147
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
148
+ "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
149
+ "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
150
+ "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
151
+ "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
152
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
153
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
154
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
155
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
156
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
157
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
158
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
159
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
160
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
161
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
162
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
163
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
164
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
165
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
166
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
167
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
168
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
169
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
170
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
171
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
172
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
173
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
174
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
175
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
176
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
177
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
178
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
179
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
180
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
181
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
182
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
183
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
184
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
185
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
186
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
187
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
188
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
189
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
190
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
191
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
192
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
193
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
194
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
195
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
196
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
197
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors",
198
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
199
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
200
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
201
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
202
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
203
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
204
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
205
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
206
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors",
207
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
208
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
209
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
210
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
211
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
212
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
213
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
214
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
215
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
216
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
217
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
218
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
219
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
220
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
221
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
222
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
223
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
224
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00003.safetensors",
225
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
226
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
227
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
228
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
229
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
230
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
231
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
232
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
233
+ "model.layers.31.input_layernorm.weight": "model-00003-of-00003.safetensors",
234
+ "model.layers.31.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
235
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
236
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
237
+ "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
238
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
239
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
240
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
241
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
242
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
243
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
244
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
245
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
246
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
247
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
248
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
249
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
250
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
251
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
252
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
253
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
254
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
255
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
256
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
257
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
258
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
259
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
260
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
261
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
262
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
263
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
264
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
265
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
266
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
267
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
268
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
269
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
270
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
271
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
272
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
273
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
274
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
275
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
276
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
277
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
278
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
279
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
280
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
281
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
282
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
283
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
284
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
285
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
286
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
287
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
288
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
289
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
290
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
291
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
292
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
293
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
294
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
295
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
296
+ "model.norm.weight": "model-00003-of-00003.safetensors"
297
+ }
298
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "pad_token": {
17
+ "content": "</s>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,43 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<unk>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<s>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "</s>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ }
29
+ },
30
+ "additional_special_tokens": [],
31
+ "bos_token": "<s>",
32
+ "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
33
+ "clean_up_tokenization_spaces": false,
34
+ "eos_token": "</s>",
35
+ "legacy": true,
36
+ "model_max_length": 2048,
37
+ "pad_token": "</s>",
38
+ "sp_model_kwargs": {},
39
+ "spaces_between_special_tokens": false,
40
+ "tokenizer_class": "LlamaTokenizer",
41
+ "unk_token": "<unk>",
42
+ "use_default_system_prompt": false
43
+ }
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 0.0,
4
+ "train_loss": 1.6157182269792543,
5
+ "train_runtime": 13119.408,
6
+ "train_samples": 61135,
7
+ "train_samples_per_second": 4.66,
8
+ "train_steps_per_second": 0.097
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": 11.458238972118851,
14
+ "learning_rate": 2.34375e-09,
15
+ "logits/chosen": 5914.86328125,
16
+ "logits/rejected": 2785.05078125,
17
+ "logps/chosen": -212.39956665039062,
18
+ "logps/rejected": -98.58319854736328,
19
+ "loss": 1.6265,
20
+ "rewards/accuracies": 0.0,
21
+ "rewards/chosen": 0.0,
22
+ "rewards/margins": 0.0,
23
+ "rewards/rejected": 0.0,
24
+ "step": 1
25
+ },
26
+ {
27
+ "epoch": 0.007849293563579277,
28
+ "grad_norm": 10.944765962770576,
29
+ "learning_rate": 2.34375e-08,
30
+ "logits/chosen": 4973.87255859375,
31
+ "logits/rejected": 4328.1787109375,
32
+ "logps/chosen": -204.2371826171875,
33
+ "logps/rejected": -179.72877502441406,
34
+ "loss": 1.6266,
35
+ "rewards/accuracies": 0.48148149251937866,
36
+ "rewards/chosen": -0.029761962592601776,
37
+ "rewards/margins": 0.007892987690865993,
38
+ "rewards/rejected": -0.03765495494008064,
39
+ "step": 10
40
+ },
41
+ {
42
+ "epoch": 0.015698587127158554,
43
+ "grad_norm": 11.499267080001312,
44
+ "learning_rate": 4.6875e-08,
45
+ "logits/chosen": 6084.16796875,
46
+ "logits/rejected": 4834.16455078125,
47
+ "logps/chosen": -217.2034149169922,
48
+ "logps/rejected": -196.7104034423828,
49
+ "loss": 1.6266,
50
+ "rewards/accuracies": 0.46666669845581055,
51
+ "rewards/chosen": -0.013780605979263783,
52
+ "rewards/margins": -0.03623500093817711,
53
+ "rewards/rejected": 0.022454392164945602,
54
+ "step": 20
55
+ },
56
+ {
57
+ "epoch": 0.023547880690737835,
58
+ "grad_norm": 9.932951594192556,
59
+ "learning_rate": 7.03125e-08,
60
+ "logits/chosen": 6083.6298828125,
61
+ "logits/rejected": 5104.6298828125,
62
+ "logps/chosen": -250.5565185546875,
63
+ "logps/rejected": -209.35964965820312,
64
+ "loss": 1.6264,
65
+ "rewards/accuracies": 0.5249999761581421,
66
+ "rewards/chosen": 0.02980937995016575,
67
+ "rewards/margins": 0.05544011667370796,
68
+ "rewards/rejected": -0.025630736723542213,
69
+ "step": 30
70
+ },
71
+ {
72
+ "epoch": 0.03139717425431711,
73
+ "grad_norm": 10.560583055604155,
74
+ "learning_rate": 9.375e-08,
75
+ "logits/chosen": 5310.8251953125,
76
+ "logits/rejected": 4346.38134765625,
77
+ "logps/chosen": -212.0478973388672,
78
+ "logps/rejected": -181.7023162841797,
79
+ "loss": 1.6262,
80
+ "rewards/accuracies": 0.5166667103767395,
81
+ "rewards/chosen": 0.04025173932313919,
82
+ "rewards/margins": 0.06556080281734467,
83
+ "rewards/rejected": -0.025309067219495773,
84
+ "step": 40
85
+ },
86
+ {
87
+ "epoch": 0.03924646781789639,
88
+ "grad_norm": 10.427628853427613,
89
+ "learning_rate": 1.1718749999999999e-07,
90
+ "logits/chosen": 6422.7939453125,
91
+ "logits/rejected": 5040.93017578125,
92
+ "logps/chosen": -265.3838195800781,
93
+ "logps/rejected": -206.63735961914062,
94
+ "loss": 1.6255,
95
+ "rewards/accuracies": 0.5833333730697632,
96
+ "rewards/chosen": 0.23301315307617188,
97
+ "rewards/margins": 0.15109717845916748,
98
+ "rewards/rejected": 0.0819159746170044,
99
+ "step": 50
100
+ },
101
+ {
102
+ "epoch": 0.04709576138147567,
103
+ "grad_norm": 9.622689233248208,
104
+ "learning_rate": 1.40625e-07,
105
+ "logits/chosen": 5486.65087890625,
106
+ "logits/rejected": 4560.60400390625,
107
+ "logps/chosen": -213.68582153320312,
108
+ "logps/rejected": -208.76248168945312,
109
+ "loss": 1.6246,
110
+ "rewards/accuracies": 0.6000000238418579,
111
+ "rewards/chosen": 0.2914460599422455,
112
+ "rewards/margins": 0.19062557816505432,
113
+ "rewards/rejected": 0.10082048177719116,
114
+ "step": 60
115
+ },
116
+ {
117
+ "epoch": 0.054945054945054944,
118
+ "grad_norm": 9.587956347814307,
119
+ "learning_rate": 1.640625e-07,
120
+ "logits/chosen": 5199.4384765625,
121
+ "logits/rejected": 4924.6708984375,
122
+ "logps/chosen": -177.8567657470703,
123
+ "logps/rejected": -176.4372100830078,
124
+ "loss": 1.6231,
125
+ "rewards/accuracies": 0.6250000596046448,
126
+ "rewards/chosen": 0.6440274715423584,
127
+ "rewards/margins": 0.3180614411830902,
128
+ "rewards/rejected": 0.3259660303592682,
129
+ "step": 70
130
+ },
131
+ {
132
+ "epoch": 0.06279434850863422,
133
+ "grad_norm": 8.592067444398902,
134
+ "learning_rate": 1.875e-07,
135
+ "logits/chosen": 5778.53955078125,
136
+ "logits/rejected": 5285.609375,
137
+ "logps/chosen": -195.7733917236328,
138
+ "logps/rejected": -181.14984130859375,
139
+ "loss": 1.6212,
140
+ "rewards/accuracies": 0.5666666626930237,
141
+ "rewards/chosen": 0.8041629791259766,
142
+ "rewards/margins": 0.39861544966697693,
143
+ "rewards/rejected": 0.40554744005203247,
144
+ "step": 80
145
+ },
146
+ {
147
+ "epoch": 0.0706436420722135,
148
+ "grad_norm": 10.124908249937006,
149
+ "learning_rate": 2.109375e-07,
150
+ "logits/chosen": 6056.23486328125,
151
+ "logits/rejected": 5209.0205078125,
152
+ "logps/chosen": -217.357421875,
153
+ "logps/rejected": -184.17950439453125,
154
+ "loss": 1.6184,
155
+ "rewards/accuracies": 0.7000000476837158,
156
+ "rewards/chosen": 1.5040231943130493,
157
+ "rewards/margins": 1.2358932495117188,
158
+ "rewards/rejected": 0.2681299149990082,
159
+ "step": 90
160
+ },
161
+ {
162
+ "epoch": 0.07849293563579278,
163
+ "grad_norm": 9.637444838737146,
164
+ "learning_rate": 2.3437499999999998e-07,
165
+ "logits/chosen": 5975.40087890625,
166
+ "logits/rejected": 5763.3486328125,
167
+ "logps/chosen": -208.479248046875,
168
+ "logps/rejected": -198.80589294433594,
169
+ "loss": 1.6183,
170
+ "rewards/accuracies": 0.5916666388511658,
171
+ "rewards/chosen": 1.752227544784546,
172
+ "rewards/margins": 1.1407288312911987,
173
+ "rewards/rejected": 0.6114988327026367,
174
+ "step": 100
175
+ },
176
+ {
177
+ "epoch": 0.08634222919937205,
178
+ "grad_norm": 9.016250169124682,
179
+ "learning_rate": 2.5781249999999997e-07,
180
+ "logits/chosen": 6438.27734375,
181
+ "logits/rejected": 5277.41748046875,
182
+ "logps/chosen": -180.60360717773438,
183
+ "logps/rejected": -178.02499389648438,
184
+ "loss": 1.6146,
185
+ "rewards/accuracies": 0.6666666865348816,
186
+ "rewards/chosen": 2.4966413974761963,
187
+ "rewards/margins": 1.597015619277954,
188
+ "rewards/rejected": 0.8996255993843079,
189
+ "step": 110
190
+ },
191
+ {
192
+ "epoch": 0.09419152276295134,
193
+ "grad_norm": 10.2875643972245,
194
+ "learning_rate": 2.8125e-07,
195
+ "logits/chosen": 6324.859375,
196
+ "logits/rejected": 5255.02197265625,
197
+ "logps/chosen": -200.77735900878906,
198
+ "logps/rejected": -197.18515014648438,
199
+ "loss": 1.6142,
200
+ "rewards/accuracies": 0.5916667580604553,
201
+ "rewards/chosen": 2.0967907905578613,
202
+ "rewards/margins": 1.1320407390594482,
203
+ "rewards/rejected": 0.9647501111030579,
204
+ "step": 120
205
+ },
206
+ {
207
+ "epoch": 0.10204081632653061,
208
+ "grad_norm": 8.720197352663515,
209
+ "learning_rate": 2.999977454977299e-07,
210
+ "logits/chosen": 6224.30419921875,
211
+ "logits/rejected": 5787.24609375,
212
+ "logps/chosen": -206.4401397705078,
213
+ "logps/rejected": -196.00332641601562,
214
+ "loss": 1.6121,
215
+ "rewards/accuracies": 0.6500000357627869,
216
+ "rewards/chosen": 3.3742451667785645,
217
+ "rewards/margins": 1.7132713794708252,
218
+ "rewards/rejected": 1.6609739065170288,
219
+ "step": 130
220
+ },
221
+ {
222
+ "epoch": 0.10989010989010989,
223
+ "grad_norm": 9.129566422771084,
224
+ "learning_rate": 2.999188450339425e-07,
225
+ "logits/chosen": 6075.42626953125,
226
+ "logits/rejected": 5363.8330078125,
227
+ "logps/chosen": -182.21517944335938,
228
+ "logps/rejected": -175.36424255371094,
229
+ "loss": 1.6087,
230
+ "rewards/accuracies": 0.6250000596046448,
231
+ "rewards/chosen": 3.4619534015655518,
232
+ "rewards/margins": 1.249176263809204,
233
+ "rewards/rejected": 2.2127773761749268,
234
+ "step": 140
235
+ },
236
+ {
237
+ "epoch": 0.11773940345368916,
238
+ "grad_norm": 11.857486318606039,
239
+ "learning_rate": 2.997272872179022e-07,
240
+ "logits/chosen": 6205.095703125,
241
+ "logits/rejected": 5208.36376953125,
242
+ "logps/chosen": -198.15518188476562,
243
+ "logps/rejected": -171.08432006835938,
244
+ "loss": 1.6098,
245
+ "rewards/accuracies": 0.6499999761581421,
246
+ "rewards/chosen": 3.4637317657470703,
247
+ "rewards/margins": 2.2425143718719482,
248
+ "rewards/rejected": 1.2212175130844116,
249
+ "step": 150
250
+ },
251
+ {
252
+ "epoch": 0.12558869701726844,
253
+ "grad_norm": 8.968030441205661,
254
+ "learning_rate": 2.994232159967983e-07,
255
+ "logits/chosen": 6122.28564453125,
256
+ "logits/rejected": 5471.36572265625,
257
+ "logps/chosen": -194.1709747314453,
258
+ "logps/rejected": -195.9803009033203,
259
+ "loss": 1.609,
260
+ "rewards/accuracies": 0.574999988079071,
261
+ "rewards/chosen": 3.3317999839782715,
262
+ "rewards/margins": 2.249804973602295,
263
+ "rewards/rejected": 1.0819952487945557,
264
+ "step": 160
265
+ },
266
+ {
267
+ "epoch": 0.13343799058084774,
268
+ "grad_norm": 9.653645250907548,
269
+ "learning_rate": 2.990068598666458e-07,
270
+ "logits/chosen": 6370.8193359375,
271
+ "logits/rejected": 5675.42236328125,
272
+ "logps/chosen": -206.18612670898438,
273
+ "logps/rejected": -194.17982482910156,
274
+ "loss": 1.608,
275
+ "rewards/accuracies": 0.625,
276
+ "rewards/chosen": 3.4253058433532715,
277
+ "rewards/margins": 1.2780392169952393,
278
+ "rewards/rejected": 2.1472671031951904,
279
+ "step": 170
280
+ },
281
+ {
282
+ "epoch": 0.141287284144427,
283
+ "grad_norm": 9.454673895277375,
284
+ "learning_rate": 2.984785317005808e-07,
285
+ "logits/chosen": 5601.3544921875,
286
+ "logits/rejected": 4895.4755859375,
287
+ "logps/chosen": -185.2515411376953,
288
+ "logps/rejected": -175.55259704589844,
289
+ "loss": 1.6091,
290
+ "rewards/accuracies": 0.5750000476837158,
291
+ "rewards/chosen": 3.3107008934020996,
292
+ "rewards/margins": 0.6890397071838379,
293
+ "rewards/rejected": 2.6216609477996826,
294
+ "step": 180
295
+ },
296
+ {
297
+ "epoch": 0.14913657770800628,
298
+ "grad_norm": 9.654359692410358,
299
+ "learning_rate": 2.978386285137506e-07,
300
+ "logits/chosen": 5670.37841796875,
301
+ "logits/rejected": 4872.609375,
302
+ "logps/chosen": -199.90350341796875,
303
+ "logps/rejected": -190.27354431152344,
304
+ "loss": 1.6056,
305
+ "rewards/accuracies": 0.675000011920929,
306
+ "rewards/chosen": 3.8663978576660156,
307
+ "rewards/margins": 2.9279844760894775,
308
+ "rewards/rejected": 0.9384133219718933,
309
+ "step": 190
310
+ },
311
+ {
312
+ "epoch": 0.15698587127158556,
313
+ "grad_norm": 10.197121119934124,
314
+ "learning_rate": 2.9708763116497365e-07,
315
+ "logits/chosen": 5597.7919921875,
316
+ "logits/rejected": 5161.28271484375,
317
+ "logps/chosen": -179.18333435058594,
318
+ "logps/rejected": -195.28829956054688,
319
+ "loss": 1.6087,
320
+ "rewards/accuracies": 0.6166666746139526,
321
+ "rewards/chosen": 3.3536689281463623,
322
+ "rewards/margins": 1.9326164722442627,
323
+ "rewards/rejected": 1.42105233669281,
324
+ "step": 200
325
+ },
326
+ {
327
+ "epoch": 0.16483516483516483,
328
+ "grad_norm": 9.507119152719666,
329
+ "learning_rate": 2.962261039953964e-07,
330
+ "logits/chosen": 5043.921875,
331
+ "logits/rejected": 4512.1884765625,
332
+ "logps/chosen": -150.83897399902344,
333
+ "logps/rejected": -155.26417541503906,
334
+ "loss": 1.6066,
335
+ "rewards/accuracies": 0.5333333611488342,
336
+ "rewards/chosen": 3.090742826461792,
337
+ "rewards/margins": 1.139352798461914,
338
+ "rewards/rejected": 1.951390027999878,
339
+ "step": 210
340
+ },
341
+ {
342
+ "epoch": 0.1726844583987441,
343
+ "grad_norm": 9.378684614749979,
344
+ "learning_rate": 2.952546944044155e-07,
345
+ "logits/chosen": 6175.8935546875,
346
+ "logits/rejected": 5279.80224609375,
347
+ "logps/chosen": -192.4020233154297,
348
+ "logps/rejected": -162.25759887695312,
349
+ "loss": 1.6063,
350
+ "rewards/accuracies": 0.6833333373069763,
351
+ "rewards/chosen": 3.872145175933838,
352
+ "rewards/margins": 2.17866587638855,
353
+ "rewards/rejected": 1.6934791803359985,
354
+ "step": 220
355
+ },
356
+ {
357
+ "epoch": 0.18053375196232338,
358
+ "grad_norm": 9.79164707530873,
359
+ "learning_rate": 2.941741323631859e-07,
360
+ "logits/chosen": 5731.53564453125,
361
+ "logits/rejected": 5152.2685546875,
362
+ "logps/chosen": -183.71131896972656,
363
+ "logps/rejected": -178.02699279785156,
364
+ "loss": 1.6063,
365
+ "rewards/accuracies": 0.6416666507720947,
366
+ "rewards/chosen": 3.631937026977539,
367
+ "rewards/margins": 1.891611099243164,
368
+ "rewards/rejected": 1.740325927734375,
369
+ "step": 230
370
+ },
371
+ {
372
+ "epoch": 0.18838304552590268,
373
+ "grad_norm": 9.812812391985778,
374
+ "learning_rate": 2.929852298660803e-07,
375
+ "logits/chosen": 5198.8896484375,
376
+ "logits/rejected": 4139.96923828125,
377
+ "logps/chosen": -163.8915252685547,
378
+ "logps/rejected": -153.38279724121094,
379
+ "loss": 1.6049,
380
+ "rewards/accuracies": 0.625,
381
+ "rewards/chosen": 3.735271453857422,
382
+ "rewards/margins": 2.3994784355163574,
383
+ "rewards/rejected": 1.335792899131775,
384
+ "step": 240
385
+ },
386
+ {
387
+ "epoch": 0.19623233908948196,
388
+ "grad_norm": 9.413138412548989,
389
+ "learning_rate": 2.9168888032051097e-07,
390
+ "logits/chosen": 6045.21923828125,
391
+ "logits/rejected": 5354.9951171875,
392
+ "logps/chosen": -163.71151733398438,
393
+ "logps/rejected": -183.2251434326172,
394
+ "loss": 1.6076,
395
+ "rewards/accuracies": 0.6500000357627869,
396
+ "rewards/chosen": 3.4429244995117188,
397
+ "rewards/margins": 2.1717002391815186,
398
+ "rewards/rejected": 1.2712242603302002,
399
+ "step": 250
400
+ },
401
+ {
402
+ "epoch": 0.20408163265306123,
403
+ "grad_norm": 11.02606597842409,
404
+ "learning_rate": 2.9028605787557423e-07,
405
+ "logits/chosen": 6197.080078125,
406
+ "logits/rejected": 5034.4609375,
407
+ "logps/chosen": -195.53811645507812,
408
+ "logps/rejected": -164.32293701171875,
409
+ "loss": 1.6062,
410
+ "rewards/accuracies": 0.675000011920929,
411
+ "rewards/chosen": 4.181486129760742,
412
+ "rewards/margins": 2.2564964294433594,
413
+ "rewards/rejected": 1.9249897003173828,
414
+ "step": 260
415
+ },
416
+ {
417
+ "epoch": 0.2119309262166405,
418
+ "grad_norm": 8.786474619717062,
419
+ "learning_rate": 2.8877781669002034e-07,
420
+ "logits/chosen": 6150.35302734375,
421
+ "logits/rejected": 5960.28759765625,
422
+ "logps/chosen": -192.77615356445312,
423
+ "logps/rejected": -185.39297485351562,
424
+ "loss": 1.6043,
425
+ "rewards/accuracies": 0.5583333373069763,
426
+ "rewards/chosen": 3.9804999828338623,
427
+ "rewards/margins": 0.6723251938819885,
428
+ "rewards/rejected": 3.3081748485565186,
429
+ "step": 270
430
+ },
431
+ {
432
+ "epoch": 0.21978021978021978,
433
+ "grad_norm": 11.186569406268537,
434
+ "learning_rate": 2.871652901401002e-07,
435
+ "logits/chosen": 5263.07763671875,
436
+ "logits/rejected": 4574.97119140625,
437
+ "logps/chosen": -159.4766082763672,
438
+ "logps/rejected": -168.32589721679688,
439
+ "loss": 1.6041,
440
+ "rewards/accuracies": 0.699999988079071,
441
+ "rewards/chosen": 3.5813148021698,
442
+ "rewards/margins": 2.5793395042419434,
443
+ "rewards/rejected": 1.0019747018814087,
444
+ "step": 280
445
+ },
446
+ {
447
+ "epoch": 0.22762951334379905,
448
+ "grad_norm": 10.641068152714297,
449
+ "learning_rate": 2.854496899678834e-07,
450
+ "logits/chosen": 7268.1611328125,
451
+ "logits/rejected": 5389.25732421875,
452
+ "logps/chosen": -233.04153442382812,
453
+ "logps/rejected": -181.015625,
454
+ "loss": 1.606,
455
+ "rewards/accuracies": 0.6583333611488342,
456
+ "rewards/chosen": 4.031437397003174,
457
+ "rewards/margins": 2.5249290466308594,
458
+ "rewards/rejected": 1.506508469581604,
459
+ "step": 290
460
+ },
461
+ {
462
+ "epoch": 0.23547880690737832,
463
+ "grad_norm": 9.89515741424169,
464
+ "learning_rate": 2.8363230537068793e-07,
465
+ "logits/chosen": 5273.17578125,
466
+ "logits/rejected": 5249.6083984375,
467
+ "logps/chosen": -164.12420654296875,
468
+ "logps/rejected": -168.3370819091797,
469
+ "loss": 1.6072,
470
+ "rewards/accuracies": 0.6166666746139526,
471
+ "rewards/chosen": 3.3666069507598877,
472
+ "rewards/margins": 1.4807441234588623,
473
+ "rewards/rejected": 1.8858625888824463,
474
+ "step": 300
475
+ },
476
+ {
477
+ "epoch": 0.24332810047095763,
478
+ "grad_norm": 9.156189036074041,
479
+ "learning_rate": 2.817145020323055e-07,
480
+ "logits/chosen": 5941.7890625,
481
+ "logits/rejected": 5263.54736328125,
482
+ "logps/chosen": -173.28579711914062,
483
+ "logps/rejected": -173.98643493652344,
484
+ "loss": 1.6053,
485
+ "rewards/accuracies": 0.6750000715255737,
486
+ "rewards/chosen": 4.284714698791504,
487
+ "rewards/margins": 2.821631908416748,
488
+ "rewards/rejected": 1.4630826711654663,
489
+ "step": 310
490
+ },
491
+ {
492
+ "epoch": 0.25117739403453687,
493
+ "grad_norm": 10.434068381012322,
494
+ "learning_rate": 2.7969772109675106e-07,
495
+ "logits/chosen": 5937.4228515625,
496
+ "logits/rejected": 5140.39111328125,
497
+ "logps/chosen": -197.049560546875,
498
+ "logps/rejected": -200.171875,
499
+ "loss": 1.6065,
500
+ "rewards/accuracies": 0.6499999761581421,
501
+ "rewards/chosen": 4.066697597503662,
502
+ "rewards/margins": 2.1806929111480713,
503
+ "rewards/rejected": 1.8860050439834595,
504
+ "step": 320
505
+ },
506
+ {
507
+ "epoch": 0.25902668759811615,
508
+ "grad_norm": 7.96980516077302,
509
+ "learning_rate": 2.775834780853069e-07,
510
+ "logits/chosen": 5770.4892578125,
511
+ "logits/rejected": 5251.03076171875,
512
+ "logps/chosen": -190.3749542236328,
513
+ "logps/rejected": -175.70028686523438,
514
+ "loss": 1.6057,
515
+ "rewards/accuracies": 0.6499999761581421,
516
+ "rewards/chosen": 4.041922092437744,
517
+ "rewards/margins": 2.4098730087280273,
518
+ "rewards/rejected": 1.6320489645004272,
519
+ "step": 330
520
+ },
521
+ {
522
+ "epoch": 0.2668759811616955,
523
+ "grad_norm": 9.327241211208603,
524
+ "learning_rate": 2.75373361757676e-07,
525
+ "logits/chosen": 6020.267578125,
526
+ "logits/rejected": 6114.4892578125,
527
+ "logps/chosen": -189.46829223632812,
528
+ "logps/rejected": -218.3720703125,
529
+ "loss": 1.6054,
530
+ "rewards/accuracies": 0.6416666507720947,
531
+ "rewards/chosen": 4.399914741516113,
532
+ "rewards/margins": 2.4120266437530518,
533
+ "rewards/rejected": 1.9878880977630615,
534
+ "step": 340
535
+ },
536
+ {
537
+ "epoch": 0.27472527472527475,
538
+ "grad_norm": 9.836682323090738,
539
+ "learning_rate": 2.730690329180992e-07,
540
+ "logits/chosen": 6336.00341796875,
541
+ "logits/rejected": 5750.68310546875,
542
+ "logps/chosen": -190.63604736328125,
543
+ "logps/rejected": -205.4300537109375,
544
+ "loss": 1.6049,
545
+ "rewards/accuracies": 0.6833332777023315,
546
+ "rewards/chosen": 4.227248191833496,
547
+ "rewards/margins": 2.878089189529419,
548
+ "rewards/rejected": 1.3491594791412354,
549
+ "step": 350
550
+ },
551
+ {
552
+ "epoch": 0.282574568288854,
553
+ "grad_norm": 10.19922545005082,
554
+ "learning_rate": 2.7067222316733527e-07,
555
+ "logits/chosen": 5833.3701171875,
556
+ "logits/rejected": 5751.5283203125,
557
+ "logps/chosen": -175.12269592285156,
558
+ "logps/rejected": -198.1387481689453,
559
+ "loss": 1.6072,
560
+ "rewards/accuracies": 0.6000000238418579,
561
+ "rewards/chosen": 2.7430808544158936,
562
+ "rewards/margins": 1.5406630039215088,
563
+ "rewards/rejected": 1.2024176120758057,
564
+ "step": 360
565
+ },
566
+ {
567
+ "epoch": 0.2904238618524333,
568
+ "grad_norm": 10.34523599778714,
569
+ "learning_rate": 2.6818473360143916e-07,
570
+ "logits/chosen": 5338.24755859375,
571
+ "logits/rejected": 5045.15087890625,
572
+ "logps/chosen": -180.8574676513672,
573
+ "logps/rejected": -166.79676818847656,
574
+ "loss": 1.6067,
575
+ "rewards/accuracies": 0.6500000357627869,
576
+ "rewards/chosen": 3.5679619312286377,
577
+ "rewards/margins": 2.2969326972961426,
578
+ "rewards/rejected": 1.271028995513916,
579
+ "step": 370
580
+ },
581
+ {
582
+ "epoch": 0.29827315541601257,
583
+ "grad_norm": 9.372139727854044,
584
+ "learning_rate": 2.6560843345831893e-07,
585
+ "logits/chosen": 6382.61181640625,
586
+ "logits/rejected": 5298.80224609375,
587
+ "logps/chosen": -223.8726348876953,
588
+ "logps/rejected": -181.1964874267578,
589
+ "loss": 1.6059,
590
+ "rewards/accuracies": 0.6916666626930237,
591
+ "rewards/chosen": 4.494563579559326,
592
+ "rewards/margins": 2.7286934852600098,
593
+ "rewards/rejected": 1.7658706903457642,
594
+ "step": 380
595
+ },
596
+ {
597
+ "epoch": 0.30612244897959184,
598
+ "grad_norm": 10.887020734305196,
599
+ "learning_rate": 2.62945258713086e-07,
600
+ "logits/chosen": 6511.5537109375,
601
+ "logits/rejected": 4989.4306640625,
602
+ "logps/chosen": -211.2510986328125,
603
+ "logps/rejected": -179.0139923095703,
604
+ "loss": 1.6059,
605
+ "rewards/accuracies": 0.6750000715255737,
606
+ "rewards/chosen": 4.222726345062256,
607
+ "rewards/margins": 3.4083054065704346,
608
+ "rewards/rejected": 0.8144209980964661,
609
+ "step": 390
610
+ },
611
+ {
612
+ "epoch": 0.3139717425431711,
613
+ "grad_norm": 10.72240359029845,
614
+ "learning_rate": 2.601972106232561e-07,
615
+ "logits/chosen": 5603.4267578125,
616
+ "logits/rejected": 5503.55078125,
617
+ "logps/chosen": -187.75234985351562,
618
+ "logps/rejected": -187.8725128173828,
619
+ "loss": 1.6064,
620
+ "rewards/accuracies": 0.6666666269302368,
621
+ "rewards/chosen": 3.06905460357666,
622
+ "rewards/margins": 2.2018256187438965,
623
+ "rewards/rejected": 0.8672292828559875,
624
+ "step": 400
625
+ },
626
+ {
627
+ "epoch": 0.3218210361067504,
628
+ "grad_norm": 11.25468877955665,
629
+ "learning_rate": 2.5736635422489343e-07,
630
+ "logits/chosen": 6066.5107421875,
631
+ "logits/rejected": 5429.3359375,
632
+ "logps/chosen": -208.7128143310547,
633
+ "logps/rejected": -207.3098907470703,
634
+ "loss": 1.6046,
635
+ "rewards/accuracies": 0.625,
636
+ "rewards/chosen": 3.760521650314331,
637
+ "rewards/margins": 2.6000523567199707,
638
+ "rewards/rejected": 1.1604695320129395,
639
+ "step": 410
640
+ },
641
+ {
642
+ "epoch": 0.32967032967032966,
643
+ "grad_norm": 11.575393675092053,
644
+ "learning_rate": 2.5445481678082706e-07,
645
+ "logits/chosen": 5705.2744140625,
646
+ "logits/rejected": 5208.12353515625,
647
+ "logps/chosen": -200.07925415039062,
648
+ "logps/rejected": -180.0633544921875,
649
+ "loss": 1.6052,
650
+ "rewards/accuracies": 0.6500000357627869,
651
+ "rewards/chosen": 3.9673619270324707,
652
+ "rewards/margins": 2.736542224884033,
653
+ "rewards/rejected": 1.2308193445205688,
654
+ "step": 420
655
+ },
656
+ {
657
+ "epoch": 0.33751962323390894,
658
+ "grad_norm": 11.347255741193797,
659
+ "learning_rate": 2.514647861821081e-07,
660
+ "logits/chosen": 5512.1982421875,
661
+ "logits/rejected": 4594.4384765625,
662
+ "logps/chosen": -176.08999633789062,
663
+ "logps/rejected": -160.46536254882812,
664
+ "loss": 1.6052,
665
+ "rewards/accuracies": 0.6916667222976685,
666
+ "rewards/chosen": 3.6505095958709717,
667
+ "rewards/margins": 2.8529231548309326,
668
+ "rewards/rejected": 0.7975867986679077,
669
+ "step": 430
670
+ },
671
+ {
672
+ "epoch": 0.3453689167974882,
673
+ "grad_norm": 11.251614329473432,
674
+ "learning_rate": 2.483985093039065e-07,
675
+ "logits/chosen": 5866.24609375,
676
+ "logits/rejected": 5800.03466796875,
677
+ "logps/chosen": -178.62997436523438,
678
+ "logps/rejected": -190.69210815429688,
679
+ "loss": 1.6071,
680
+ "rewards/accuracies": 0.6583333611488342,
681
+ "rewards/chosen": 3.7587838172912598,
682
+ "rewards/margins": 2.8152925968170166,
683
+ "rewards/rejected": 0.9434911608695984,
684
+ "step": 440
685
+ },
686
+ {
687
+ "epoch": 0.3532182103610675,
688
+ "grad_norm": 10.238672574135192,
689
+ "learning_rate": 2.4525829031708404e-07,
690
+ "logits/chosen": 6755.23828125,
691
+ "logits/rejected": 4911.7578125,
692
+ "logps/chosen": -204.50540161132812,
693
+ "logps/rejected": -162.7772216796875,
694
+ "loss": 1.6075,
695
+ "rewards/accuracies": 0.7333333492279053,
696
+ "rewards/chosen": 4.24879264831543,
697
+ "rewards/margins": 4.009242057800293,
698
+ "rewards/rejected": 0.23955073952674866,
699
+ "step": 450
700
+ },
701
+ {
702
+ "epoch": 0.36106750392464676,
703
+ "grad_norm": 10.124703408047377,
704
+ "learning_rate": 2.420464889567126e-07,
705
+ "logits/chosen": 6971.953125,
706
+ "logits/rejected": 5482.63330078125,
707
+ "logps/chosen": -246.63485717773438,
708
+ "logps/rejected": -189.0049591064453,
709
+ "loss": 1.6062,
710
+ "rewards/accuracies": 0.6583333015441895,
711
+ "rewards/chosen": 3.8507399559020996,
712
+ "rewards/margins": 2.7193245887756348,
713
+ "rewards/rejected": 1.1314153671264648,
714
+ "step": 460
715
+ },
716
+ {
717
+ "epoch": 0.36891679748822603,
718
+ "grad_norm": 10.244451763866405,
719
+ "learning_rate": 2.3876551874883775e-07,
720
+ "logits/chosen": 5983.9541015625,
721
+ "logits/rejected": 5281.8173828125,
722
+ "logps/chosen": -208.52267456054688,
723
+ "logps/rejected": -201.57501220703125,
724
+ "loss": 1.6099,
725
+ "rewards/accuracies": 0.7083333730697632,
726
+ "rewards/chosen": 3.680980682373047,
727
+ "rewards/margins": 2.752244234085083,
728
+ "rewards/rejected": 0.9287362098693848,
729
+ "step": 470
730
+ },
731
+ {
732
+ "epoch": 0.37676609105180536,
733
+ "grad_norm": 10.136642065676186,
734
+ "learning_rate": 2.354178451968214e-07,
735
+ "logits/chosen": 6450.548828125,
736
+ "logits/rejected": 5633.7119140625,
737
+ "logps/chosen": -203.6438751220703,
738
+ "logps/rejected": -173.91026306152344,
739
+ "loss": 1.6082,
740
+ "rewards/accuracies": 0.6833333969116211,
741
+ "rewards/chosen": 3.7612411975860596,
742
+ "rewards/margins": 3.274782657623291,
743
+ "rewards/rejected": 0.4864584505558014,
744
+ "step": 480
745
+ },
746
+ {
747
+ "epoch": 0.38461538461538464,
748
+ "grad_norm": 11.463940168293135,
749
+ "learning_rate": 2.3200598392862542e-07,
750
+ "logits/chosen": 6044.64501953125,
751
+ "logits/rejected": 5817.2734375,
752
+ "logps/chosen": -172.8741912841797,
753
+ "logps/rejected": -201.54507446289062,
754
+ "loss": 1.6072,
755
+ "rewards/accuracies": 0.7583333253860474,
756
+ "rewards/chosen": 3.7329680919647217,
757
+ "rewards/margins": 3.2064049243927,
758
+ "rewards/rejected": 0.5265628695487976,
759
+ "step": 490
760
+ },
761
+ {
762
+ "epoch": 0.3924646781789639,
763
+ "grad_norm": 10.258740856397358,
764
+ "learning_rate": 2.2853249880642897e-07,
765
+ "logits/chosen": 6601.33447265625,
766
+ "logits/rejected": 5118.966796875,
767
+ "logps/chosen": -219.5803985595703,
768
+ "logps/rejected": -203.1927490234375,
769
+ "loss": 1.6087,
770
+ "rewards/accuracies": 0.6916667222976685,
771
+ "rewards/chosen": 2.4150400161743164,
772
+ "rewards/margins": 3.0509958267211914,
773
+ "rewards/rejected": -0.635955810546875,
774
+ "step": 500
775
+ },
776
+ {
777
+ "epoch": 0.4003139717425432,
778
+ "grad_norm": 9.618807221454839,
779
+ "learning_rate": 2.25e-07,
780
+ "logits/chosen": 5256.94482421875,
781
+ "logits/rejected": 4686.318359375,
782
+ "logps/chosen": -186.45138549804688,
783
+ "logps/rejected": -166.85733032226562,
784
+ "loss": 1.6107,
785
+ "rewards/accuracies": 0.7250000238418579,
786
+ "rewards/chosen": 2.9723703861236572,
787
+ "rewards/margins": 3.497563123703003,
788
+ "rewards/rejected": -0.5251928567886353,
789
+ "step": 510
790
+ },
791
+ {
792
+ "epoch": 0.40816326530612246,
793
+ "grad_norm": 10.077787546594172,
794
+ "learning_rate": 2.2141114202526867e-07,
795
+ "logits/chosen": 5602.5029296875,
796
+ "logits/rejected": 5226.76904296875,
797
+ "logps/chosen": -195.4163818359375,
798
+ "logps/rejected": -194.8783721923828,
799
+ "loss": 1.6119,
800
+ "rewards/accuracies": 0.6500000357627869,
801
+ "rewards/chosen": 3.003880739212036,
802
+ "rewards/margins": 2.041459321975708,
803
+ "rewards/rejected": 0.9624212384223938,
804
+ "step": 520
805
+ },
806
+ {
807
+ "epoch": 0.41601255886970173,
808
+ "grad_norm": 10.362808776797175,
809
+ "learning_rate": 2.1776862174957646e-07,
810
+ "logits/chosen": 6315.44482421875,
811
+ "logits/rejected": 5213.26953125,
812
+ "logps/chosen": -208.7710723876953,
813
+ "logps/rejected": -198.46128845214844,
814
+ "loss": 1.6075,
815
+ "rewards/accuracies": 0.7083333730697632,
816
+ "rewards/chosen": 4.163774490356445,
817
+ "rewards/margins": 3.857957363128662,
818
+ "rewards/rejected": 0.3058166205883026,
819
+ "step": 530
820
+ },
821
+ {
822
+ "epoch": 0.423861852433281,
823
+ "grad_norm": 11.129372316652974,
824
+ "learning_rate": 2.1407517636510023e-07,
825
+ "logits/chosen": 5997.4560546875,
826
+ "logits/rejected": 5399.8779296875,
827
+ "logps/chosen": -208.12722778320312,
828
+ "logps/rejected": -188.67626953125,
829
+ "loss": 1.6106,
830
+ "rewards/accuracies": 0.6333333253860474,
831
+ "rewards/chosen": 2.6769168376922607,
832
+ "rewards/margins": 3.085752487182617,
833
+ "rewards/rejected": -0.40883541107177734,
834
+ "step": 540
835
+ },
836
+ {
837
+ "epoch": 0.4317111459968603,
838
+ "grad_norm": 10.874250167035393,
839
+ "learning_rate": 2.1033358133197376e-07,
840
+ "logits/chosen": 5797.27294921875,
841
+ "logits/rejected": 5422.5419921875,
842
+ "logps/chosen": -212.1249542236328,
843
+ "logps/rejected": -225.52099609375,
844
+ "loss": 1.6096,
845
+ "rewards/accuracies": 0.6916667222976685,
846
+ "rewards/chosen": 2.68788480758667,
847
+ "rewards/margins": 3.1572766304016113,
848
+ "rewards/rejected": -0.46939191222190857,
849
+ "step": 550
850
+ },
851
+ {
852
+ "epoch": 0.43956043956043955,
853
+ "grad_norm": 11.368509816993306,
854
+ "learning_rate": 2.0654664829265295e-07,
855
+ "logits/chosen": 5849.35791015625,
856
+ "logits/rejected": 5507.40625,
857
+ "logps/chosen": -200.6465606689453,
858
+ "logps/rejected": -193.24252319335938,
859
+ "loss": 1.6123,
860
+ "rewards/accuracies": 0.6416667103767395,
861
+ "rewards/chosen": 2.6296989917755127,
862
+ "rewards/margins": 2.6346523761749268,
863
+ "rewards/rejected": -0.004953605122864246,
864
+ "step": 560
865
+ },
866
+ {
867
+ "epoch": 0.4474097331240188,
868
+ "grad_norm": 9.634112543251097,
869
+ "learning_rate": 2.027172229590914e-07,
870
+ "logits/chosen": 6171.091796875,
871
+ "logits/rejected": 5716.99951171875,
872
+ "logps/chosen": -240.25399780273438,
873
+ "logps/rejected": -223.2677764892578,
874
+ "loss": 1.6112,
875
+ "rewards/accuracies": 0.6416667103767395,
876
+ "rewards/chosen": 2.6774706840515137,
877
+ "rewards/margins": 2.21945858001709,
878
+ "rewards/rejected": 0.45801201462745667,
879
+ "step": 570
880
+ },
881
+ {
882
+ "epoch": 0.4552590266875981,
883
+ "grad_norm": 10.87514770443522,
884
+ "learning_rate": 1.9884818297431403e-07,
885
+ "logits/chosen": 6132.4013671875,
886
+ "logits/rejected": 5570.19921875,
887
+ "logps/chosen": -209.4405975341797,
888
+ "logps/rejected": -213.29257202148438,
889
+ "loss": 1.6114,
890
+ "rewards/accuracies": 0.7000001072883606,
891
+ "rewards/chosen": 2.9603564739227295,
892
+ "rewards/margins": 2.9691500663757324,
893
+ "rewards/rejected": -0.008793527260422707,
894
+ "step": 580
895
+ },
896
+ {
897
+ "epoch": 0.4631083202511774,
898
+ "grad_norm": 11.895191217861239,
899
+ "learning_rate": 1.9494243574999645e-07,
900
+ "logits/chosen": 6698.8017578125,
901
+ "logits/rejected": 5693.74755859375,
902
+ "logps/chosen": -228.00796508789062,
903
+ "logps/rejected": -178.66822814941406,
904
+ "loss": 1.6102,
905
+ "rewards/accuracies": 0.6916667222976685,
906
+ "rewards/chosen": 3.6634438037872314,
907
+ "rewards/margins": 3.507164716720581,
908
+ "rewards/rejected": 0.15627913177013397,
909
+ "step": 590
910
+ },
911
+ {
912
+ "epoch": 0.47095761381475665,
913
+ "grad_norm": 10.761146722421474,
914
+ "learning_rate": 1.9100291628167416e-07,
915
+ "logits/chosen": 6341.4296875,
916
+ "logits/rejected": 5422.83984375,
917
+ "logps/chosen": -175.03768920898438,
918
+ "logps/rejected": -189.64918518066406,
919
+ "loss": 1.6124,
920
+ "rewards/accuracies": 0.6750000715255737,
921
+ "rewards/chosen": 2.5099081993103027,
922
+ "rewards/margins": 2.4614367485046387,
923
+ "rewards/rejected": 0.04847153276205063,
924
+ "step": 600
925
+ },
926
+ {
927
+ "epoch": 0.478806907378336,
928
+ "grad_norm": 10.066536779214626,
929
+ "learning_rate": 1.870325849432238e-07,
930
+ "logits/chosen": 6092.59765625,
931
+ "logits/rejected": 5363.5263671875,
932
+ "logps/chosen": -203.3939971923828,
933
+ "logps/rejected": -186.27825927734375,
934
+ "loss": 1.6096,
935
+ "rewards/accuracies": 0.699999988079071,
936
+ "rewards/chosen": 2.739835023880005,
937
+ "rewards/margins": 3.611487627029419,
938
+ "rewards/rejected": -0.8716526031494141,
939
+ "step": 610
940
+ },
941
+ {
942
+ "epoch": 0.48665620094191525,
943
+ "grad_norm": 9.620539433149245,
944
+ "learning_rate": 1.8303442526227364e-07,
945
+ "logits/chosen": 5198.9228515625,
946
+ "logits/rejected": 4301.599609375,
947
+ "logps/chosen": -181.21054077148438,
948
+ "logps/rejected": -162.38772583007812,
949
+ "loss": 1.6114,
950
+ "rewards/accuracies": 0.7583333253860474,
951
+ "rewards/chosen": 2.554405689239502,
952
+ "rewards/margins": 3.846482038497925,
953
+ "rewards/rejected": -1.2920769453048706,
954
+ "step": 620
955
+ },
956
+ {
957
+ "epoch": 0.4945054945054945,
958
+ "grad_norm": 10.87064291559102,
959
+ "learning_rate": 1.7901144167821507e-07,
960
+ "logits/chosen": 6764.76171875,
961
+ "logits/rejected": 5845.1396484375,
962
+ "logps/chosen": -239.6127166748047,
963
+ "logps/rejected": -195.640869140625,
964
+ "loss": 1.6094,
965
+ "rewards/accuracies": 0.7250000238418579,
966
+ "rewards/chosen": 3.2196297645568848,
967
+ "rewards/margins": 4.5956902503967285,
968
+ "rewards/rejected": -1.3760606050491333,
969
+ "step": 630
970
+ },
971
+ {
972
+ "epoch": 0.5023547880690737,
973
+ "grad_norm": 11.572214216615475,
974
+ "learning_rate": 1.749666572845e-07,
975
+ "logits/chosen": 6422.68505859375,
976
+ "logits/rejected": 5511.61083984375,
977
+ "logps/chosen": -208.0812225341797,
978
+ "logps/rejected": -215.52230834960938,
979
+ "loss": 1.6109,
980
+ "rewards/accuracies": 0.7083333134651184,
981
+ "rewards/chosen": 2.6956992149353027,
982
+ "rewards/margins": 3.72594952583313,
983
+ "rewards/rejected": -1.0302503108978271,
984
+ "step": 640
985
+ },
986
+ {
987
+ "epoch": 0.5102040816326531,
988
+ "grad_norm": 10.924127233657837,
989
+ "learning_rate": 1.7090311155692034e-07,
990
+ "logits/chosen": 5531.26953125,
991
+ "logits/rejected": 4566.18115234375,
992
+ "logps/chosen": -194.7221221923828,
993
+ "logps/rejected": -170.06761169433594,
994
+ "loss": 1.6136,
995
+ "rewards/accuracies": 0.6916666626930237,
996
+ "rewards/chosen": 1.600431203842163,
997
+ "rewards/margins": 2.939448595046997,
998
+ "rewards/rejected": -1.339017391204834,
999
+ "step": 650
1000
+ },
1001
+ {
1002
+ "epoch": 0.5180533751962323,
1003
+ "grad_norm": 11.128560662698712,
1004
+ "learning_rate": 1.6682385806957695e-07,
1005
+ "logits/chosen": 6207.12646484375,
1006
+ "logits/rejected": 5023.8916015625,
1007
+ "logps/chosen": -215.07473754882812,
1008
+ "logps/rejected": -189.7795867919922,
1009
+ "loss": 1.6147,
1010
+ "rewards/accuracies": 0.7916666865348816,
1011
+ "rewards/chosen": 2.3060238361358643,
1012
+ "rewards/margins": 4.0903449058532715,
1013
+ "rewards/rejected": -1.7843214273452759,
1014
+ "step": 660
1015
+ },
1016
+ {
1017
+ "epoch": 0.5259026687598116,
1018
+ "grad_norm": 11.101124136697601,
1019
+ "learning_rate": 1.627319622002544e-07,
1020
+ "logits/chosen": 6186.93798828125,
1021
+ "logits/rejected": 5106.5810546875,
1022
+ "logps/chosen": -204.43142700195312,
1023
+ "logps/rejected": -189.8342742919922,
1024
+ "loss": 1.6158,
1025
+ "rewards/accuracies": 0.7250000238418579,
1026
+ "rewards/chosen": 2.3008999824523926,
1027
+ "rewards/margins": 3.2730765342712402,
1028
+ "rewards/rejected": -0.9721772074699402,
1029
+ "step": 670
1030
+ },
1031
+ {
1032
+ "epoch": 0.533751962323391,
1033
+ "grad_norm": 11.556695250472748,
1034
+ "learning_rate": 1.5863049882692565e-07,
1035
+ "logits/chosen": 6008.26904296875,
1036
+ "logits/rejected": 5051.5166015625,
1037
+ "logps/chosen": -212.3236083984375,
1038
+ "logps/rejected": -180.04847717285156,
1039
+ "loss": 1.6165,
1040
+ "rewards/accuracies": 0.6500000357627869,
1041
+ "rewards/chosen": 1.3081023693084717,
1042
+ "rewards/margins": 2.1385140419006348,
1043
+ "rewards/rejected": -0.8304115533828735,
1044
+ "step": 680
1045
+ },
1046
+ {
1047
+ "epoch": 0.5416012558869702,
1048
+ "grad_norm": 10.233108364900362,
1049
+ "learning_rate": 1.5452255001711795e-07,
1050
+ "logits/chosen": 5943.60302734375,
1051
+ "logits/rejected": 5483.03955078125,
1052
+ "logps/chosen": -207.3726348876953,
1053
+ "logps/rejected": -217.35693359375,
1054
+ "loss": 1.6141,
1055
+ "rewards/accuracies": 0.7000000476837158,
1056
+ "rewards/chosen": 1.7650575637817383,
1057
+ "rewards/margins": 2.921135425567627,
1058
+ "rewards/rejected": -1.1560779809951782,
1059
+ "step": 690
1060
+ },
1061
+ {
1062
+ "epoch": 0.5494505494505495,
1063
+ "grad_norm": 8.962560556788734,
1064
+ "learning_rate": 1.50411202711876e-07,
1065
+ "logits/chosen": 5653.8994140625,
1066
+ "logits/rejected": 5460.46044921875,
1067
+ "logps/chosen": -187.51516723632812,
1068
+ "logps/rejected": -188.84127807617188,
1069
+ "loss": 1.6177,
1070
+ "rewards/accuracies": 0.6333333253860474,
1071
+ "rewards/chosen": 1.7124507427215576,
1072
+ "rewards/margins": 3.6060166358947754,
1073
+ "rewards/rejected": -1.8935661315917969,
1074
+ "step": 700
1075
+ },
1076
+ {
1077
+ "epoch": 0.5572998430141287,
1078
+ "grad_norm": 10.815111342313953,
1079
+ "learning_rate": 1.4629954640606275e-07,
1080
+ "logits/chosen": 5610.15966796875,
1081
+ "logits/rejected": 5674.67822265625,
1082
+ "logps/chosen": -192.265625,
1083
+ "logps/rejected": -203.23452758789062,
1084
+ "loss": 1.6147,
1085
+ "rewards/accuracies": 0.6583333611488342,
1086
+ "rewards/chosen": 1.6721900701522827,
1087
+ "rewards/margins": 2.265028476715088,
1088
+ "rewards/rejected": -0.5928383469581604,
1089
+ "step": 710
1090
+ },
1091
+ {
1092
+ "epoch": 0.565149136577708,
1093
+ "grad_norm": 11.454299662188049,
1094
+ "learning_rate": 1.4219067082674153e-07,
1095
+ "logits/chosen": 6028.6044921875,
1096
+ "logits/rejected": 5230.07373046875,
1097
+ "logps/chosen": -217.03543090820312,
1098
+ "logps/rejected": -201.26968383789062,
1099
+ "loss": 1.6162,
1100
+ "rewards/accuracies": 0.7416666746139526,
1101
+ "rewards/chosen": 1.9704124927520752,
1102
+ "rewards/margins": 3.4510631561279297,
1103
+ "rewards/rejected": -1.4806510210037231,
1104
+ "step": 720
1105
+ },
1106
+ {
1107
+ "epoch": 0.5729984301412873,
1108
+ "grad_norm": 11.472362484650057,
1109
+ "learning_rate": 1.3808766361138294e-07,
1110
+ "logits/chosen": 6529.74609375,
1111
+ "logits/rejected": 5061.63623046875,
1112
+ "logps/chosen": -224.10916137695312,
1113
+ "logps/rejected": -176.45887756347656,
1114
+ "loss": 1.6142,
1115
+ "rewards/accuracies": 0.6333333253860474,
1116
+ "rewards/chosen": 1.0688775777816772,
1117
+ "rewards/margins": 2.4734768867492676,
1118
+ "rewards/rejected": -1.4045993089675903,
1119
+ "step": 730
1120
+ },
1121
+ {
1122
+ "epoch": 0.5808477237048666,
1123
+ "grad_norm": 10.32346024402139,
1124
+ "learning_rate": 1.3399360798764307e-07,
1125
+ "logits/chosen": 5415.81103515625,
1126
+ "logits/rejected": 4646.49267578125,
1127
+ "logps/chosen": -191.19082641601562,
1128
+ "logps/rejected": -165.0283203125,
1129
+ "loss": 1.6157,
1130
+ "rewards/accuracies": 0.6916667222976685,
1131
+ "rewards/chosen": 1.2511141300201416,
1132
+ "rewards/margins": 3.6377835273742676,
1133
+ "rewards/rejected": -2.386669635772705,
1134
+ "step": 740
1135
+ },
1136
+ {
1137
+ "epoch": 0.5886970172684458,
1138
+ "grad_norm": 11.219416384074425,
1139
+ "learning_rate": 1.2991158045645435e-07,
1140
+ "logits/chosen": 5891.90380859375,
1141
+ "logits/rejected": 5381.7978515625,
1142
+ "logps/chosen": -179.5184326171875,
1143
+ "logps/rejected": -168.6924591064453,
1144
+ "loss": 1.6173,
1145
+ "rewards/accuracies": 0.6416667103767395,
1146
+ "rewards/chosen": 0.8637522459030151,
1147
+ "rewards/margins": 2.4437310695648193,
1148
+ "rewards/rejected": -1.5799791812896729,
1149
+ "step": 750
1150
+ },
1151
+ {
1152
+ "epoch": 0.5965463108320251,
1153
+ "grad_norm": 10.454823936279826,
1154
+ "learning_rate": 1.2584464848017214e-07,
1155
+ "logits/chosen": 6189.07373046875,
1156
+ "logits/rejected": 4946.9921875,
1157
+ "logps/chosen": -201.6912078857422,
1158
+ "logps/rejected": -176.08975219726562,
1159
+ "loss": 1.6189,
1160
+ "rewards/accuracies": 0.708333432674408,
1161
+ "rewards/chosen": 1.5779491662979126,
1162
+ "rewards/margins": 3.1704206466674805,
1163
+ "rewards/rejected": -1.592471718788147,
1164
+ "step": 760
1165
+ },
1166
+ {
1167
+ "epoch": 0.6043956043956044,
1168
+ "grad_norm": 11.144568917516514,
1169
+ "learning_rate": 1.2179586817751263e-07,
1170
+ "logits/chosen": 6398.5439453125,
1171
+ "logits/rejected": 5549.02197265625,
1172
+ "logps/chosen": -229.02297973632812,
1173
+ "logps/rejected": -226.2268829345703,
1174
+ "loss": 1.6196,
1175
+ "rewards/accuracies": 0.699999988079071,
1176
+ "rewards/chosen": 0.6905540227890015,
1177
+ "rewards/margins": 3.0377731323242188,
1178
+ "rewards/rejected": -2.3472187519073486,
1179
+ "step": 770
1180
+ },
1181
+ {
1182
+ "epoch": 0.6122448979591837,
1183
+ "grad_norm": 11.784984283909536,
1184
+ "learning_rate": 1.177682820270159e-07,
1185
+ "logits/chosen": 6260.98388671875,
1186
+ "logits/rejected": 5981.9970703125,
1187
+ "logps/chosen": -215.8638153076172,
1188
+ "logps/rejected": -239.6117706298828,
1189
+ "loss": 1.62,
1190
+ "rewards/accuracies": 0.6000000238418579,
1191
+ "rewards/chosen": 0.24781355261802673,
1192
+ "rewards/margins": 2.456618309020996,
1193
+ "rewards/rejected": -2.2088046073913574,
1194
+ "step": 780
1195
+ },
1196
+ {
1197
+ "epoch": 0.6200941915227629,
1198
+ "grad_norm": 11.336513282533264,
1199
+ "learning_rate": 1.13764916580758e-07,
1200
+ "logits/chosen": 5813.20849609375,
1201
+ "logits/rejected": 5193.22705078125,
1202
+ "logps/chosen": -197.9930877685547,
1203
+ "logps/rejected": -192.1040496826172,
1204
+ "loss": 1.6205,
1205
+ "rewards/accuracies": 0.699999988079071,
1206
+ "rewards/chosen": 0.16777479648590088,
1207
+ "rewards/margins": 3.6429495811462402,
1208
+ "rewards/rejected": -3.47517466545105,
1209
+ "step": 790
1210
+ },
1211
+ {
1212
+ "epoch": 0.6279434850863422,
1213
+ "grad_norm": 11.37275833046531,
1214
+ "learning_rate": 1.0978878019003183e-07,
1215
+ "logits/chosen": 5823.0517578125,
1216
+ "logits/rejected": 5127.9541015625,
1217
+ "logps/chosen": -216.37841796875,
1218
+ "logps/rejected": -215.0908203125,
1219
+ "loss": 1.6191,
1220
+ "rewards/accuracies": 0.6333333253860474,
1221
+ "rewards/chosen": 0.3729097247123718,
1222
+ "rewards/margins": 2.810680866241455,
1223
+ "rewards/rejected": -2.4377713203430176,
1224
+ "step": 800
1225
+ },
1226
+ {
1227
+ "epoch": 0.6357927786499215,
1228
+ "grad_norm": 11.92843313737738,
1229
+ "learning_rate": 1.0584286074470446e-07,
1230
+ "logits/chosen": 5377.32421875,
1231
+ "logits/rejected": 4863.58154296875,
1232
+ "logps/chosen": -201.692626953125,
1233
+ "logps/rejected": -224.701171875,
1234
+ "loss": 1.6182,
1235
+ "rewards/accuracies": 0.7666667103767395,
1236
+ "rewards/chosen": 0.7583420872688293,
1237
+ "rewards/margins": 4.198758602142334,
1238
+ "rewards/rejected": -3.4404168128967285,
1239
+ "step": 810
1240
+ },
1241
+ {
1242
+ "epoch": 0.6436420722135008,
1243
+ "grad_norm": 11.620823490647497,
1244
+ "learning_rate": 1.0193012342795095e-07,
1245
+ "logits/chosen": 5848.99462890625,
1246
+ "logits/rejected": 4559.11669921875,
1247
+ "logps/chosen": -219.4331512451172,
1248
+ "logps/rejected": -170.939697265625,
1249
+ "loss": 1.6184,
1250
+ "rewards/accuracies": 0.7250000238418579,
1251
+ "rewards/chosen": 1.7729305028915405,
1252
+ "rewards/margins": 4.044053077697754,
1253
+ "rewards/rejected": -2.271122694015503,
1254
+ "step": 820
1255
+ },
1256
+ {
1257
+ "epoch": 0.6514913657770801,
1258
+ "grad_norm": 10.399323259266707,
1259
+ "learning_rate": 9.805350848805078e-08,
1260
+ "logits/chosen": 5789.95068359375,
1261
+ "logits/rejected": 5189.4072265625,
1262
+ "logps/chosen": -203.59767150878906,
1263
+ "logps/rejected": -195.38893127441406,
1264
+ "loss": 1.6199,
1265
+ "rewards/accuracies": 0.699999988079071,
1266
+ "rewards/chosen": 0.5932119488716125,
1267
+ "rewards/margins": 3.508798122406006,
1268
+ "rewards/rejected": -2.915585994720459,
1269
+ "step": 830
1270
+ },
1271
+ {
1272
+ "epoch": 0.6593406593406593,
1273
+ "grad_norm": 10.035390499048138,
1274
+ "learning_rate": 9.421592902892184e-08,
1275
+ "logits/chosen": 6314.8837890625,
1276
+ "logits/rejected": 5214.59326171875,
1277
+ "logps/chosen": -227.4573974609375,
1278
+ "logps/rejected": -215.1611785888672,
1279
+ "loss": 1.6204,
1280
+ "rewards/accuracies": 0.5833333134651184,
1281
+ "rewards/chosen": -0.09185920655727386,
1282
+ "rewards/margins": 2.265404462814331,
1283
+ "rewards/rejected": -2.3572635650634766,
1284
+ "step": 840
1285
+ },
1286
+ {
1287
+ "epoch": 0.6671899529042387,
1288
+ "grad_norm": 11.544156642460049,
1289
+ "learning_rate": 9.042026882105215e-08,
1290
+ "logits/chosen": 5835.57275390625,
1291
+ "logits/rejected": 5284.0244140625,
1292
+ "logps/chosen": -214.9558563232422,
1293
+ "logps/rejected": -203.69520568847656,
1294
+ "loss": 1.618,
1295
+ "rewards/accuracies": 0.7083333730697632,
1296
+ "rewards/chosen": 0.5202548503875732,
1297
+ "rewards/margins": 3.6990485191345215,
1298
+ "rewards/rejected": -3.1787941455841064,
1299
+ "step": 850
1300
+ },
1301
+ {
1302
+ "epoch": 0.6750392464678179,
1303
+ "grad_norm": 11.190718842900319,
1304
+ "learning_rate": 8.666938013447484e-08,
1305
+ "logits/chosen": 6286.025390625,
1306
+ "logits/rejected": 5394.0,
1307
+ "logps/chosen": -247.1281280517578,
1308
+ "logps/rejected": -205.7931671142578,
1309
+ "loss": 1.6199,
1310
+ "rewards/accuracies": 0.7583333253860474,
1311
+ "rewards/chosen": 0.6725990772247314,
1312
+ "rewards/margins": 3.7918269634246826,
1313
+ "rewards/rejected": -3.119227886199951,
1314
+ "step": 860
1315
+ },
1316
+ {
1317
+ "epoch": 0.6828885400313972,
1318
+ "grad_norm": 11.069681395938431,
1319
+ "learning_rate": 8.29660815954134e-08,
1320
+ "logits/chosen": 6258.58837890625,
1321
+ "logits/rejected": 5223.68017578125,
1322
+ "logps/chosen": -229.8612518310547,
1323
+ "logps/rejected": -203.4960174560547,
1324
+ "loss": 1.6203,
1325
+ "rewards/accuracies": 0.7416666746139526,
1326
+ "rewards/chosen": 0.273890882730484,
1327
+ "rewards/margins": 3.0515148639678955,
1328
+ "rewards/rejected": -2.7776238918304443,
1329
+ "step": 870
1330
+ },
1331
+ {
1332
+ "epoch": 0.6907378335949764,
1333
+ "grad_norm": 10.760516756235438,
1334
+ "learning_rate": 7.931315606820979e-08,
1335
+ "logits/chosen": 5503.98388671875,
1336
+ "logits/rejected": 5300.1279296875,
1337
+ "logps/chosen": -210.29623413085938,
1338
+ "logps/rejected": -234.48428344726562,
1339
+ "loss": 1.6209,
1340
+ "rewards/accuracies": 0.7250000238418579,
1341
+ "rewards/chosen": 0.23874196410179138,
1342
+ "rewards/margins": 3.12656831741333,
1343
+ "rewards/rejected": -2.887826442718506,
1344
+ "step": 880
1345
+ },
1346
+ {
1347
+ "epoch": 0.6985871271585558,
1348
+ "grad_norm": 11.62760722742798,
1349
+ "learning_rate": 7.571334856412503e-08,
1350
+ "logits/chosen": 6500.73779296875,
1351
+ "logits/rejected": 5318.8017578125,
1352
+ "logps/chosen": -257.2298278808594,
1353
+ "logps/rejected": -215.5242156982422,
1354
+ "loss": 1.6219,
1355
+ "rewards/accuracies": 0.7250000238418579,
1356
+ "rewards/chosen": 0.3969727158546448,
1357
+ "rewards/margins": 4.151793003082275,
1358
+ "rewards/rejected": -3.754819869995117,
1359
+ "step": 890
1360
+ },
1361
+ {
1362
+ "epoch": 0.706436420722135,
1363
+ "grad_norm": 9.458870050953964,
1364
+ "learning_rate": 7.216936417858549e-08,
1365
+ "logits/chosen": 5499.93701171875,
1366
+ "logits/rejected": 5135.26318359375,
1367
+ "logps/chosen": -204.2237548828125,
1368
+ "logps/rejected": -214.3614959716797,
1369
+ "loss": 1.622,
1370
+ "rewards/accuracies": 0.7583333253860474,
1371
+ "rewards/chosen": 0.10146790742874146,
1372
+ "rewards/margins": 4.020596027374268,
1373
+ "rewards/rejected": -3.919127941131592,
1374
+ "step": 900
1375
+ },
1376
+ {
1377
+ "epoch": 0.7142857142857143,
1378
+ "grad_norm": 11.195584952901939,
1379
+ "learning_rate": 6.868386605842379e-08,
1380
+ "logits/chosen": 5412.22216796875,
1381
+ "logits/rejected": 5166.134765625,
1382
+ "logps/chosen": -207.86279296875,
1383
+ "logps/rejected": -212.60983276367188,
1384
+ "loss": 1.6223,
1385
+ "rewards/accuracies": 0.7666666507720947,
1386
+ "rewards/chosen": 0.4062539041042328,
1387
+ "rewards/margins": 5.072477340698242,
1388
+ "rewards/rejected": -4.666223049163818,
1389
+ "step": 910
1390
+ },
1391
+ {
1392
+ "epoch": 0.7221350078492935,
1393
+ "grad_norm": 10.447859698886178,
1394
+ "learning_rate": 6.525947340064232e-08,
1395
+ "logits/chosen": 5988.22265625,
1396
+ "logits/rejected": 4997.0390625,
1397
+ "logps/chosen": -232.16281127929688,
1398
+ "logps/rejected": -202.34010314941406,
1399
+ "loss": 1.6219,
1400
+ "rewards/accuracies": 0.7583333849906921,
1401
+ "rewards/chosen": 0.2832966446876526,
1402
+ "rewards/margins": 4.437819480895996,
1403
+ "rewards/rejected": -4.154522895812988,
1404
+ "step": 920
1405
+ },
1406
+ {
1407
+ "epoch": 0.7299843014128728,
1408
+ "grad_norm": 11.894379056711179,
1409
+ "learning_rate": 6.189875948420276e-08,
1410
+ "logits/chosen": 5893.60205078125,
1411
+ "logits/rejected": 4513.279296875,
1412
+ "logps/chosen": -236.3983612060547,
1413
+ "logps/rejected": -190.51617431640625,
1414
+ "loss": 1.6224,
1415
+ "rewards/accuracies": 0.7250000238418579,
1416
+ "rewards/chosen": -0.3916471600532532,
1417
+ "rewards/margins": 4.208518981933594,
1418
+ "rewards/rejected": -4.600167274475098,
1419
+ "step": 930
1420
+ },
1421
+ {
1422
+ "epoch": 0.7378335949764521,
1423
+ "grad_norm": 10.98098284583286,
1424
+ "learning_rate": 5.86042497363215e-08,
1425
+ "logits/chosen": 5721.9482421875,
1426
+ "logits/rejected": 5032.0947265625,
1427
+ "logps/chosen": -218.5546875,
1428
+ "logps/rejected": -209.4766387939453,
1429
+ "loss": 1.6227,
1430
+ "rewards/accuracies": 0.6916666626930237,
1431
+ "rewards/chosen": -0.21962371468544006,
1432
+ "rewards/margins": 4.292196273803711,
1433
+ "rewards/rejected": -4.511819362640381,
1434
+ "step": 940
1435
+ },
1436
+ {
1437
+ "epoch": 0.7456828885400314,
1438
+ "grad_norm": 10.09472856202966,
1439
+ "learning_rate": 5.537841983472337e-08,
1440
+ "logits/chosen": 5903.6142578125,
1441
+ "logits/rejected": 5460.48779296875,
1442
+ "logps/chosen": -217.61929321289062,
1443
+ "logps/rejected": -217.16525268554688,
1444
+ "loss": 1.6233,
1445
+ "rewards/accuracies": 0.6833333373069763,
1446
+ "rewards/chosen": 0.16755667328834534,
1447
+ "rewards/margins": 3.2451682090759277,
1448
+ "rewards/rejected": -3.0776114463806152,
1449
+ "step": 950
1450
+ },
1451
+ {
1452
+ "epoch": 0.7535321821036107,
1453
+ "grad_norm": 11.803340128971255,
1454
+ "learning_rate": 5.222369384727954e-08,
1455
+ "logits/chosen": 5730.85205078125,
1456
+ "logits/rejected": 5144.63037109375,
1457
+ "logps/chosen": -218.22622680664062,
1458
+ "logps/rejected": -206.0850372314453,
1459
+ "loss": 1.6222,
1460
+ "rewards/accuracies": 0.7916666269302368,
1461
+ "rewards/chosen": 0.27254268527030945,
1462
+ "rewards/margins": 3.8942532539367676,
1463
+ "rewards/rejected": -3.6217105388641357,
1464
+ "step": 960
1465
+ },
1466
+ {
1467
+ "epoch": 0.7613814756671899,
1468
+ "grad_norm": 11.454679795991241,
1469
+ "learning_rate": 4.914244241042832e-08,
1470
+ "logits/chosen": 5840.7158203125,
1471
+ "logits/rejected": 4928.1845703125,
1472
+ "logps/chosen": -240.2581787109375,
1473
+ "logps/rejected": -210.8507537841797,
1474
+ "loss": 1.6232,
1475
+ "rewards/accuracies": 0.7249999642372131,
1476
+ "rewards/chosen": -0.018189292401075363,
1477
+ "rewards/margins": 4.160759925842285,
1478
+ "rewards/rejected": -4.178948402404785,
1479
+ "step": 970
1480
+ },
1481
+ {
1482
+ "epoch": 0.7692307692307693,
1483
+ "grad_norm": 11.99470899522862,
1484
+ "learning_rate": 4.613698094774715e-08,
1485
+ "logits/chosen": 5542.8330078125,
1486
+ "logits/rejected": 4527.66015625,
1487
+ "logps/chosen": -228.67837524414062,
1488
+ "logps/rejected": -195.180419921875,
1489
+ "loss": 1.622,
1490
+ "rewards/accuracies": 0.7583333253860474,
1491
+ "rewards/chosen": 0.15695662796497345,
1492
+ "rewards/margins": 4.860254764556885,
1493
+ "rewards/rejected": -4.703298091888428,
1494
+ "step": 980
1495
+ },
1496
+ {
1497
+ "epoch": 0.7770800627943485,
1498
+ "grad_norm": 13.577338184519638,
1499
+ "learning_rate": 4.3209567930014746e-08,
1500
+ "logits/chosen": 5864.568359375,
1501
+ "logits/rejected": 4959.56396484375,
1502
+ "logps/chosen": -226.41036987304688,
1503
+ "logps/rejected": -198.62289428710938,
1504
+ "loss": 1.622,
1505
+ "rewards/accuracies": 0.6416667103767395,
1506
+ "rewards/chosen": -0.5170873403549194,
1507
+ "rewards/margins": 4.038225173950195,
1508
+ "rewards/rejected": -4.555312156677246,
1509
+ "step": 990
1510
+ },
1511
+ {
1512
+ "epoch": 0.7849293563579278,
1513
+ "grad_norm": 11.227134966757461,
1514
+ "learning_rate": 4.036240317807059e-08,
1515
+ "logits/chosen": 5562.1455078125,
1516
+ "logits/rejected": 4746.4765625,
1517
+ "logps/chosen": -213.9759979248047,
1518
+ "logps/rejected": -184.7088165283203,
1519
+ "loss": 1.6223,
1520
+ "rewards/accuracies": 0.6750000715255737,
1521
+ "rewards/chosen": -0.1758609116077423,
1522
+ "rewards/margins": 4.17446231842041,
1523
+ "rewards/rejected": -4.35032320022583,
1524
+ "step": 1000
1525
+ },
1526
+ {
1527
+ "epoch": 0.792778649921507,
1528
+ "grad_norm": 10.788480554925878,
1529
+ "learning_rate": 3.759762620974716e-08,
1530
+ "logits/chosen": 5739.294921875,
1531
+ "logits/rejected": 4851.3935546875,
1532
+ "logps/chosen": -214.68118286132812,
1533
+ "logps/rejected": -195.8408203125,
1534
+ "loss": 1.6224,
1535
+ "rewards/accuracies": 0.699999988079071,
1536
+ "rewards/chosen": 0.02830815315246582,
1537
+ "rewards/margins": 4.474509239196777,
1538
+ "rewards/rejected": -4.446200847625732,
1539
+ "step": 1010
1540
+ },
1541
+ {
1542
+ "epoch": 0.8006279434850864,
1543
+ "grad_norm": 10.560717225935313,
1544
+ "learning_rate": 3.4917314632117423e-08,
1545
+ "logits/chosen": 5831.240234375,
1546
+ "logits/rejected": 5222.7080078125,
1547
+ "logps/chosen": -248.1968994140625,
1548
+ "logps/rejected": -230.4774932861328,
1549
+ "loss": 1.6229,
1550
+ "rewards/accuracies": 0.783333420753479,
1551
+ "rewards/chosen": -0.018525028601288795,
1552
+ "rewards/margins": 4.307133674621582,
1553
+ "rewards/rejected": -4.325658798217773,
1554
+ "step": 1020
1555
+ },
1556
+ {
1557
+ "epoch": 0.8084772370486656,
1558
+ "grad_norm": 11.450889100406535,
1559
+ "learning_rate": 3.232348258026552e-08,
1560
+ "logits/chosen": 6223.50048828125,
1561
+ "logits/rejected": 5888.0341796875,
1562
+ "logps/chosen": -231.3888702392578,
1563
+ "logps/rejected": -237.2459259033203,
1564
+ "loss": 1.6228,
1565
+ "rewards/accuracies": 0.7833333611488342,
1566
+ "rewards/chosen": 0.0547012984752655,
1567
+ "rewards/margins": 4.181652545928955,
1568
+ "rewards/rejected": -4.126951217651367,
1569
+ "step": 1030
1570
+ },
1571
+ {
1572
+ "epoch": 0.8163265306122449,
1573
+ "grad_norm": 11.896899452824945,
1574
+ "learning_rate": 2.9818079203753654e-08,
1575
+ "logits/chosen": 5537.16064453125,
1576
+ "logits/rejected": 5094.0849609375,
1577
+ "logps/chosen": -220.12808227539062,
1578
+ "logps/rejected": -212.80624389648438,
1579
+ "loss": 1.6234,
1580
+ "rewards/accuracies": 0.6666666865348816,
1581
+ "rewards/chosen": -0.038040757179260254,
1582
+ "rewards/margins": 3.5793395042419434,
1583
+ "rewards/rejected": -3.617380142211914,
1584
+ "step": 1040
1585
+ },
1586
+ {
1587
+ "epoch": 0.8241758241758241,
1588
+ "grad_norm": 12.623914170332412,
1589
+ "learning_rate": 2.740298720192245e-08,
1590
+ "logits/chosen": 5572.4052734375,
1591
+ "logits/rejected": 5124.4365234375,
1592
+ "logps/chosen": -237.76119995117188,
1593
+ "logps/rejected": -219.5039825439453,
1594
+ "loss": 1.6226,
1595
+ "rewards/accuracies": 0.6916667222976685,
1596
+ "rewards/chosen": -0.2121574878692627,
1597
+ "rewards/margins": 3.454202175140381,
1598
+ "rewards/rejected": -3.6663596630096436,
1599
+ "step": 1050
1600
+ },
1601
+ {
1602
+ "epoch": 0.8320251177394035,
1603
+ "grad_norm": 11.913054191421269,
1604
+ "learning_rate": 2.5080021409126655e-08,
1605
+ "logits/chosen": 6892.4423828125,
1606
+ "logits/rejected": 5450.9912109375,
1607
+ "logps/chosen": -261.4605407714844,
1608
+ "logps/rejected": -224.04019165039062,
1609
+ "loss": 1.6228,
1610
+ "rewards/accuracies": 0.6916667222976685,
1611
+ "rewards/chosen": -0.4351968765258789,
1612
+ "rewards/margins": 3.5411152839660645,
1613
+ "rewards/rejected": -3.9763119220733643,
1614
+ "step": 1060
1615
+ },
1616
+ {
1617
+ "epoch": 0.8398744113029827,
1618
+ "grad_norm": 11.445993088464819,
1619
+ "learning_rate": 2.2850927430967287e-08,
1620
+ "logits/chosen": 5742.19580078125,
1621
+ "logits/rejected": 5310.591796875,
1622
+ "logps/chosen": -225.3037567138672,
1623
+ "logps/rejected": -197.18203735351562,
1624
+ "loss": 1.624,
1625
+ "rewards/accuracies": 0.7333333492279053,
1626
+ "rewards/chosen": -0.027328431606292725,
1627
+ "rewards/margins": 4.017100811004639,
1628
+ "rewards/rejected": -4.044428825378418,
1629
+ "step": 1070
1630
+ },
1631
+ {
1632
+ "epoch": 0.847723704866562,
1633
+ "grad_norm": 11.059510886657053,
1634
+ "learning_rate": 2.0717380332546768e-08,
1635
+ "logits/chosen": 6291.6181640625,
1636
+ "logits/rejected": 4913.92919921875,
1637
+ "logps/chosen": -266.40643310546875,
1638
+ "logps/rejected": -206.01705932617188,
1639
+ "loss": 1.6219,
1640
+ "rewards/accuracies": 0.8166667222976685,
1641
+ "rewards/chosen": 0.1874084770679474,
1642
+ "rewards/margins": 5.219174385070801,
1643
+ "rewards/rejected": -5.031765937805176,
1644
+ "step": 1080
1645
+ },
1646
+ {
1647
+ "epoch": 0.8555729984301413,
1648
+ "grad_norm": 11.093065022674237,
1649
+ "learning_rate": 1.8680983379731618e-08,
1650
+ "logits/chosen": 6390.0458984375,
1651
+ "logits/rejected": 4830.373046875,
1652
+ "logps/chosen": -228.0162353515625,
1653
+ "logps/rejected": -217.597900390625,
1654
+ "loss": 1.6244,
1655
+ "rewards/accuracies": 0.7333334684371948,
1656
+ "rewards/chosen": -0.5020327568054199,
1657
+ "rewards/margins": 4.1861772537231445,
1658
+ "rewards/rejected": -4.688210487365723,
1659
+ "step": 1090
1660
+ },
1661
+ {
1662
+ "epoch": 0.8634222919937206,
1663
+ "grad_norm": 11.004461382075167,
1664
+ "learning_rate": 1.6743266834369856e-08,
1665
+ "logits/chosen": 6145.6806640625,
1666
+ "logits/rejected": 5110.62548828125,
1667
+ "logps/chosen": -239.3874053955078,
1668
+ "logps/rejected": -194.05117797851562,
1669
+ "loss": 1.6246,
1670
+ "rewards/accuracies": 0.6916667222976685,
1671
+ "rewards/chosen": -0.8312684893608093,
1672
+ "rewards/margins": 3.724156141281128,
1673
+ "rewards/rejected": -4.555424690246582,
1674
+ "step": 1100
1675
+ },
1676
+ {
1677
+ "epoch": 0.8712715855572999,
1678
+ "grad_norm": 11.169359353898571,
1679
+ "learning_rate": 1.4905686804366853e-08,
1680
+ "logits/chosen": 6507.7529296875,
1681
+ "logits/rejected": 5290.05908203125,
1682
+ "logps/chosen": -265.2042236328125,
1683
+ "logps/rejected": -227.3978729248047,
1684
+ "loss": 1.6229,
1685
+ "rewards/accuracies": 0.7083333730697632,
1686
+ "rewards/chosen": -0.6048145294189453,
1687
+ "rewards/margins": 4.526320457458496,
1688
+ "rewards/rejected": -5.131134986877441,
1689
+ "step": 1110
1690
+ },
1691
+ {
1692
+ "epoch": 0.8791208791208791,
1693
+ "grad_norm": 10.36627141349426,
1694
+ "learning_rate": 1.3169624149485037e-08,
1695
+ "logits/chosen": 6368.01416015625,
1696
+ "logits/rejected": 5209.26611328125,
1697
+ "logps/chosen": -246.00863647460938,
1698
+ "logps/rejected": -221.8163604736328,
1699
+ "loss": 1.6232,
1700
+ "rewards/accuracies": 0.699999988079071,
1701
+ "rewards/chosen": -0.8775882720947266,
1702
+ "rewards/margins": 4.164261817932129,
1703
+ "rewards/rejected": -5.041850566864014,
1704
+ "step": 1120
1705
+ },
1706
+ {
1707
+ "epoch": 0.8869701726844584,
1708
+ "grad_norm": 11.689309702253437,
1709
+ "learning_rate": 1.1536383443688968e-08,
1710
+ "logits/chosen": 5779.93896484375,
1711
+ "logits/rejected": 4615.59326171875,
1712
+ "logps/chosen": -234.68215942382812,
1713
+ "logps/rejected": -184.45750427246094,
1714
+ "loss": 1.6232,
1715
+ "rewards/accuracies": 0.7333333492279053,
1716
+ "rewards/chosen": 0.10495586693286896,
1717
+ "rewards/margins": 4.333970546722412,
1718
+ "rewards/rejected": -4.2290143966674805,
1719
+ "step": 1130
1720
+ },
1721
+ {
1722
+ "epoch": 0.8948194662480377,
1723
+ "grad_norm": 11.69568286023684,
1724
+ "learning_rate": 1.0007191994816272e-08,
1725
+ "logits/chosen": 6343.60009765625,
1726
+ "logits/rejected": 5211.26416015625,
1727
+ "logps/chosen": -258.3962097167969,
1728
+ "logps/rejected": -225.07742309570312,
1729
+ "loss": 1.6226,
1730
+ "rewards/accuracies": 0.7250000238418579,
1731
+ "rewards/chosen": -0.7535941004753113,
1732
+ "rewards/margins": 3.4583687782287598,
1733
+ "rewards/rejected": -4.211962699890137,
1734
+ "step": 1140
1735
+ },
1736
+ {
1737
+ "epoch": 0.902668759811617,
1738
+ "grad_norm": 12.01611350837566,
1739
+ "learning_rate": 8.583198922310031e-09,
1740
+ "logits/chosen": 5625.16796875,
1741
+ "logits/rejected": 5218.8232421875,
1742
+ "logps/chosen": -227.22756958007812,
1743
+ "logps/rejected": -223.5425262451172,
1744
+ "loss": 1.623,
1745
+ "rewards/accuracies": 0.7166666984558105,
1746
+ "rewards/chosen": -0.24080140888690948,
1747
+ "rewards/margins": 3.7667922973632812,
1748
+ "rewards/rejected": -4.007594108581543,
1749
+ "step": 1150
1750
+ },
1751
+ {
1752
+ "epoch": 0.9105180533751962,
1753
+ "grad_norm": 11.149096309955521,
1754
+ "learning_rate": 7.2654742937067916e-09,
1755
+ "logits/chosen": 5776.7119140625,
1756
+ "logits/rejected": 4638.9755859375,
1757
+ "logps/chosen": -228.9247283935547,
1758
+ "logps/rejected": -199.80224609375,
1759
+ "loss": 1.624,
1760
+ "rewards/accuracies": 0.7083333134651184,
1761
+ "rewards/chosen": -0.35184532403945923,
1762
+ "rewards/margins": 3.520703077316284,
1763
+ "rewards/rejected": -3.8725483417510986,
1764
+ "step": 1160
1765
+ },
1766
+ {
1767
+ "epoch": 0.9183673469387755,
1768
+ "grad_norm": 11.730310171305202,
1769
+ "learning_rate": 6.0550083205280325e-09,
1770
+ "logits/chosen": 6331.5869140625,
1771
+ "logits/rejected": 6107.18408203125,
1772
+ "logps/chosen": -243.18026733398438,
1773
+ "logps/rejected": -251.1663360595703,
1774
+ "loss": 1.6231,
1775
+ "rewards/accuracies": 0.6666666865348816,
1776
+ "rewards/chosen": -0.2250463217496872,
1777
+ "rewards/margins": 4.151488780975342,
1778
+ "rewards/rejected": -4.376535415649414,
1779
+ "step": 1170
1780
+ },
1781
+ {
1782
+ "epoch": 0.9262166405023547,
1783
+ "grad_norm": 12.532143717176293,
1784
+ "learning_rate": 4.952710614180567e-09,
1785
+ "logits/chosen": 5591.78173828125,
1786
+ "logits/rejected": 5125.27197265625,
1787
+ "logps/chosen": -240.2451629638672,
1788
+ "logps/rejected": -220.843505859375,
1789
+ "loss": 1.6247,
1790
+ "rewards/accuracies": 0.7416667342185974,
1791
+ "rewards/chosen": -0.33638685941696167,
1792
+ "rewards/margins": 3.716320753097534,
1793
+ "rewards/rejected": -4.052707672119141,
1794
+ "step": 1180
1795
+ },
1796
+ {
1797
+ "epoch": 0.9340659340659341,
1798
+ "grad_norm": 11.073947353465151,
1799
+ "learning_rate": 3.959409502423744e-09,
1800
+ "logits/chosen": 6082.80712890625,
1801
+ "logits/rejected": 5334.0517578125,
1802
+ "logps/chosen": -250.0338897705078,
1803
+ "logps/rejected": -221.93896484375,
1804
+ "loss": 1.6231,
1805
+ "rewards/accuracies": 0.6750000715255737,
1806
+ "rewards/chosen": -1.1701091527938843,
1807
+ "rewards/margins": 3.618891477584839,
1808
+ "rewards/rejected": -4.789000511169434,
1809
+ "step": 1190
1810
+ },
1811
+ {
1812
+ "epoch": 0.9419152276295133,
1813
+ "grad_norm": 11.478913045969124,
1814
+ "learning_rate": 3.075851406917995e-09,
1815
+ "logits/chosen": 6255.9599609375,
1816
+ "logits/rejected": 5368.0625,
1817
+ "logps/chosen": -256.30841064453125,
1818
+ "logps/rejected": -224.0297393798828,
1819
+ "loss": 1.6228,
1820
+ "rewards/accuracies": 0.7416666746139526,
1821
+ "rewards/chosen": -0.6638107299804688,
1822
+ "rewards/margins": 4.6817946434021,
1823
+ "rewards/rejected": -5.345605373382568,
1824
+ "step": 1200
1825
+ },
1826
+ {
1827
+ "epoch": 0.9497645211930926,
1828
+ "grad_norm": 11.772570086955174,
1829
+ "learning_rate": 2.3027002823221064e-09,
1830
+ "logits/chosen": 5870.1064453125,
1831
+ "logits/rejected": 5151.9208984375,
1832
+ "logps/chosen": -240.24136352539062,
1833
+ "logps/rejected": -222.8927764892578,
1834
+ "loss": 1.6242,
1835
+ "rewards/accuracies": 0.7916667461395264,
1836
+ "rewards/chosen": -0.034066688269376755,
1837
+ "rewards/margins": 4.694322109222412,
1838
+ "rewards/rejected": -4.728388786315918,
1839
+ "step": 1210
1840
+ },
1841
+ {
1842
+ "epoch": 0.957613814756672,
1843
+ "grad_norm": 11.341650876448142,
1844
+ "learning_rate": 1.6405371173608073e-09,
1845
+ "logits/chosen": 7316.70556640625,
1846
+ "logits/rejected": 5417.42626953125,
1847
+ "logps/chosen": -297.10943603515625,
1848
+ "logps/rejected": -250.65249633789062,
1849
+ "loss": 1.6226,
1850
+ "rewards/accuracies": 0.7249999642372131,
1851
+ "rewards/chosen": -0.27967390418052673,
1852
+ "rewards/margins": 5.194223880767822,
1853
+ "rewards/rejected": -5.4738969802856445,
1854
+ "step": 1220
1855
+ },
1856
+ {
1857
+ "epoch": 0.9654631083202512,
1858
+ "grad_norm": 12.25958376489255,
1859
+ "learning_rate": 1.0898594982375387e-09,
1860
+ "logits/chosen": 6507.357421875,
1861
+ "logits/rejected": 5199.5634765625,
1862
+ "logps/chosen": -260.1299133300781,
1863
+ "logps/rejected": -217.67202758789062,
1864
+ "loss": 1.6232,
1865
+ "rewards/accuracies": 0.7416666746139526,
1866
+ "rewards/chosen": 0.43730440735816956,
1867
+ "rewards/margins": 5.117526054382324,
1868
+ "rewards/rejected": -4.680222511291504,
1869
+ "step": 1230
1870
+ },
1871
+ {
1872
+ "epoch": 0.9733124018838305,
1873
+ "grad_norm": 12.320721462602215,
1874
+ "learning_rate": 6.510812347205185e-10,
1875
+ "logits/chosen": 5608.94189453125,
1876
+ "logits/rejected": 5175.58935546875,
1877
+ "logps/chosen": -232.12710571289062,
1878
+ "logps/rejected": -239.9905242919922,
1879
+ "loss": 1.6223,
1880
+ "rewards/accuracies": 0.6916667222976685,
1881
+ "rewards/chosen": -0.5330235362052917,
1882
+ "rewards/margins": 4.260423183441162,
1883
+ "rewards/rejected": -4.7934465408325195,
1884
+ "step": 1240
1885
+ },
1886
+ {
1887
+ "epoch": 0.9811616954474097,
1888
+ "grad_norm": 11.623382089715227,
1889
+ "learning_rate": 3.245320491830683e-10,
1890
+ "logits/chosen": 5712.59912109375,
1891
+ "logits/rejected": 4849.1201171875,
1892
+ "logps/chosen": -230.5782928466797,
1893
+ "logps/rejected": -193.20933532714844,
1894
+ "loss": 1.6227,
1895
+ "rewards/accuracies": 0.75,
1896
+ "rewards/chosen": -0.2468281090259552,
1897
+ "rewards/margins": 3.513197660446167,
1898
+ "rewards/rejected": -3.7600255012512207,
1899
+ "step": 1250
1900
+ },
1901
+ {
1902
+ "epoch": 0.989010989010989,
1903
+ "grad_norm": 10.941217530065499,
1904
+ "learning_rate": 1.1045732883197545e-10,
1905
+ "logits/chosen": 5392.3876953125,
1906
+ "logits/rejected": 5146.81103515625,
1907
+ "logps/chosen": -233.12521362304688,
1908
+ "logps/rejected": -220.48587036132812,
1909
+ "loss": 1.6232,
1910
+ "rewards/accuracies": 0.699999988079071,
1911
+ "rewards/chosen": -0.9743496775627136,
1912
+ "rewards/margins": 3.1852924823760986,
1913
+ "rewards/rejected": -4.159642219543457,
1914
+ "step": 1260
1915
+ },
1916
+ {
1917
+ "epoch": 0.9968602825745683,
1918
+ "grad_norm": 11.869179900549053,
1919
+ "learning_rate": 9.017941309813482e-12,
1920
+ "logits/chosen": 5663.7666015625,
1921
+ "logits/rejected": 4646.2197265625,
1922
+ "logps/chosen": -224.53286743164062,
1923
+ "logps/rejected": -189.52761840820312,
1924
+ "loss": 1.6221,
1925
+ "rewards/accuracies": 0.7083333730697632,
1926
+ "rewards/chosen": -0.044149044901132584,
1927
+ "rewards/margins": 3.1750922203063965,
1928
+ "rewards/rejected": -3.2192413806915283,
1929
+ "step": 1270
1930
+ },
1931
+ {
1932
+ "epoch": 1.0,
1933
+ "step": 1274,
1934
+ "total_flos": 0.0,
1935
+ "train_loss": 1.6157182269792543,
1936
+ "train_runtime": 13119.408,
1937
+ "train_samples_per_second": 4.66,
1938
+ "train_steps_per_second": 0.097
1939
+ }
1940
+ ],
1941
+ "logging_steps": 10,
1942
+ "max_steps": 1274,
1943
+ "num_input_tokens_seen": 0,
1944
+ "num_train_epochs": 1,
1945
+ "save_steps": 2000,
1946
+ "stateful_callbacks": {
1947
+ "TrainerControl": {
1948
+ "args": {
1949
+ "should_epoch_stop": false,
1950
+ "should_evaluate": false,
1951
+ "should_log": false,
1952
+ "should_save": false,
1953
+ "should_training_stop": false
1954
+ },
1955
+ "attributes": {}
1956
+ }
1957
+ },
1958
+ "total_flos": 0.0,
1959
+ "train_batch_size": 6,
1960
+ "trial_name": null,
1961
+ "trial_params": null
1962
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7b69b15a895ae0b24c6ffb659876553c372ae064f1c316c66efeeb8c9ae38efd
3
+ size 7352