Minbyul commited on
Commit
9698dc5
1 Parent(s): c8512d7

Upload 16 files

Browse files
README.md ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: Minbyul/selfbiorag-7b-wo-kqa_golden-iter-dpo-step2
3
+ tags:
4
+ - trl
5
+ - dpo
6
+ - generated_from_trainer
7
+ model-index:
8
+ - name: selfbiorag-7b-wo-kqa_golden-iter-dpo-step3-filtered
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ # selfbiorag-7b-wo-kqa_golden-iter-dpo-step3-filtered
16
+
17
+ This model is a fine-tuned version of [Minbyul/selfbiorag-7b-wo-kqa_golden-iter-dpo-step2](https://huggingface.co/Minbyul/selfbiorag-7b-wo-kqa_golden-iter-dpo-step2) on an unknown dataset.
18
+
19
+ ## Model description
20
+
21
+ More information needed
22
+
23
+ ## Intended uses & limitations
24
+
25
+ More information needed
26
+
27
+ ## Training and evaluation data
28
+
29
+ More information needed
30
+
31
+ ## Training procedure
32
+
33
+ ### Training hyperparameters
34
+
35
+ The following hyperparameters were used during training:
36
+ - learning_rate: 5e-07
37
+ - train_batch_size: 8
38
+ - eval_batch_size: 8
39
+ - seed: 42
40
+ - distributed_type: multi-GPU
41
+ - num_devices: 4
42
+ - gradient_accumulation_steps: 2
43
+ - total_train_batch_size: 64
44
+ - total_eval_batch_size: 32
45
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
+ - lr_scheduler_type: cosine
47
+ - lr_scheduler_warmup_ratio: 0.1
48
+ - num_epochs: 1
49
+
50
+ ### Training results
51
+
52
+
53
+
54
+ ### Framework versions
55
+
56
+ - Transformers 4.39.0.dev0
57
+ - Pytorch 2.1.2
58
+ - Datasets 2.14.6
59
+ - Tokenizers 0.15.2
added_tokens.json ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</paragraph>": 32013,
3
+ "<pad>": 32015,
4
+ "<paragraph>": 32005,
5
+ "[Continue to Use Evidence]": 32006,
6
+ "[Fully supported]": 32014,
7
+ "[Irrelevant]": 32011,
8
+ "[No Retrieval]": 32010,
9
+ "[No support / Contradictory]": 32003,
10
+ "[Partially supported]": 32000,
11
+ "[Relevant]": 32007,
12
+ "[Retrieval]": 32004,
13
+ "[Utility:1]": 32001,
14
+ "[Utility:2]": 32002,
15
+ "[Utility:3]": 32008,
16
+ "[Utility:4]": 32012,
17
+ "[Utility:5]": 32009
18
+ }
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "train_loss": 0.6677660370086875,
4
+ "train_runtime": 2913.0719,
5
+ "train_samples": 14258,
6
+ "train_samples_per_second": 4.894,
7
+ "train_steps_per_second": 0.077
8
+ }
config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "Minbyul/selfbiorag-7b-wo-kqa_golden-iter-dpo-step2",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 1,
9
+ "eos_token_id": 2,
10
+ "hidden_act": "silu",
11
+ "hidden_size": 4096,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 11008,
14
+ "max_position_embeddings": 4096,
15
+ "model_type": "llama",
16
+ "num_attention_heads": 32,
17
+ "num_hidden_layers": 32,
18
+ "num_key_value_heads": 32,
19
+ "pretraining_tp": 1,
20
+ "rms_norm_eps": 1e-05,
21
+ "rope_scaling": null,
22
+ "rope_theta": 10000.0,
23
+ "tie_word_embeddings": false,
24
+ "torch_dtype": "bfloat16",
25
+ "transformers_version": "4.39.0.dev0",
26
+ "use_cache": false,
27
+ "vocab_size": 32016
28
+ }
generation_config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 1,
3
+ "do_sample": true,
4
+ "eos_token_id": 2,
5
+ "max_length": 4096,
6
+ "pad_token_id": 0,
7
+ "temperature": 0.6,
8
+ "top_p": 0.9,
9
+ "transformers_version": "4.39.0.dev0"
10
+ }
model-00001-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f979b846700f31003cbc08899268b20a3cb95373354a0dd77912f5ad2be48d15
3
+ size 4939116424
model-00002-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:87e640832c6861a8542e11d39d51059d3d9e248b1240abb910aae05a25000be8
3
+ size 4947390880
model-00003-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:556bcf687cd69c9420980b0efd87c203a5462d8d33f42734bbaebe212abd2cb0
3
+ size 3590619888
model.safetensors.index.json ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 13477093376
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-00001-of-00003.safetensors",
27
+ "model.layers.10.mlp.down_proj.weight": "model-00001-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-00001-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-00001-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-00001-of-00003.safetensors",
41
+ "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
42
+ "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
43
+ "model.layers.11.self_attn.v_proj.weight": "model-00001-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-00002-of-00003.safetensors",
144
+ "model.layers.22.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
145
+ "model.layers.22.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
146
+ "model.layers.22.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
147
+ "model.layers.22.post_attention_layernorm.weight": "model-00002-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-00002-of-00003.safetensors",
155
+ "model.layers.23.mlp.up_proj.weight": "model-00002-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-00002-of-00003.safetensors",
158
+ "model.layers.23.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
159
+ "model.layers.23.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
160
+ "model.layers.23.self_attn.v_proj.weight": "model-00002-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 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "[Partially supported]",
4
+ "[Utility:1]",
5
+ "[Utility:2]",
6
+ "[No support / Contradictory]",
7
+ "[Retrieval]",
8
+ "<paragraph>",
9
+ "[Continue to Use Evidence]",
10
+ "[Relevant]",
11
+ "[Utility:3]",
12
+ "[Utility:5]",
13
+ "[No Retrieval]",
14
+ "[Irrelevant]",
15
+ "[Utility:4]",
16
+ "</paragraph>",
17
+ "[Fully supported]"
18
+ ],
19
+ "bos_token": {
20
+ "content": "<s>",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false
25
+ },
26
+ "eos_token": {
27
+ "content": "</s>",
28
+ "lstrip": false,
29
+ "normalized": false,
30
+ "rstrip": false,
31
+ "single_word": false
32
+ },
33
+ "pad_token": {
34
+ "content": "<pad>",
35
+ "lstrip": false,
36
+ "normalized": false,
37
+ "rstrip": false,
38
+ "single_word": false
39
+ },
40
+ "unk_token": {
41
+ "content": "<unk>",
42
+ "lstrip": false,
43
+ "normalized": false,
44
+ "rstrip": false,
45
+ "single_word": false
46
+ }
47
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
tokenizer_config.json ADDED
@@ -0,0 +1,188 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "add_prefix_space": true,
5
+ "added_tokens_decoder": {
6
+ "0": {
7
+ "content": "<unk>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false,
12
+ "special": true
13
+ },
14
+ "1": {
15
+ "content": "<s>",
16
+ "lstrip": false,
17
+ "normalized": false,
18
+ "rstrip": false,
19
+ "single_word": false,
20
+ "special": true
21
+ },
22
+ "2": {
23
+ "content": "</s>",
24
+ "lstrip": false,
25
+ "normalized": false,
26
+ "rstrip": false,
27
+ "single_word": false,
28
+ "special": true
29
+ },
30
+ "32000": {
31
+ "content": "[Partially supported]",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false,
36
+ "special": true
37
+ },
38
+ "32001": {
39
+ "content": "[Utility:1]",
40
+ "lstrip": false,
41
+ "normalized": false,
42
+ "rstrip": false,
43
+ "single_word": false,
44
+ "special": true
45
+ },
46
+ "32002": {
47
+ "content": "[Utility:2]",
48
+ "lstrip": false,
49
+ "normalized": false,
50
+ "rstrip": false,
51
+ "single_word": false,
52
+ "special": true
53
+ },
54
+ "32003": {
55
+ "content": "[No support / Contradictory]",
56
+ "lstrip": false,
57
+ "normalized": false,
58
+ "rstrip": false,
59
+ "single_word": false,
60
+ "special": true
61
+ },
62
+ "32004": {
63
+ "content": "[Retrieval]",
64
+ "lstrip": false,
65
+ "normalized": false,
66
+ "rstrip": false,
67
+ "single_word": false,
68
+ "special": true
69
+ },
70
+ "32005": {
71
+ "content": "<paragraph>",
72
+ "lstrip": false,
73
+ "normalized": false,
74
+ "rstrip": false,
75
+ "single_word": false,
76
+ "special": true
77
+ },
78
+ "32006": {
79
+ "content": "[Continue to Use Evidence]",
80
+ "lstrip": false,
81
+ "normalized": false,
82
+ "rstrip": false,
83
+ "single_word": false,
84
+ "special": true
85
+ },
86
+ "32007": {
87
+ "content": "[Relevant]",
88
+ "lstrip": false,
89
+ "normalized": false,
90
+ "rstrip": false,
91
+ "single_word": false,
92
+ "special": true
93
+ },
94
+ "32008": {
95
+ "content": "[Utility:3]",
96
+ "lstrip": false,
97
+ "normalized": false,
98
+ "rstrip": false,
99
+ "single_word": false,
100
+ "special": true
101
+ },
102
+ "32009": {
103
+ "content": "[Utility:5]",
104
+ "lstrip": false,
105
+ "normalized": false,
106
+ "rstrip": false,
107
+ "single_word": false,
108
+ "special": true
109
+ },
110
+ "32010": {
111
+ "content": "[No Retrieval]",
112
+ "lstrip": false,
113
+ "normalized": false,
114
+ "rstrip": false,
115
+ "single_word": false,
116
+ "special": true
117
+ },
118
+ "32011": {
119
+ "content": "[Irrelevant]",
120
+ "lstrip": false,
121
+ "normalized": false,
122
+ "rstrip": false,
123
+ "single_word": false,
124
+ "special": true
125
+ },
126
+ "32012": {
127
+ "content": "[Utility:4]",
128
+ "lstrip": false,
129
+ "normalized": false,
130
+ "rstrip": false,
131
+ "single_word": false,
132
+ "special": true
133
+ },
134
+ "32013": {
135
+ "content": "</paragraph>",
136
+ "lstrip": false,
137
+ "normalized": false,
138
+ "rstrip": false,
139
+ "single_word": false,
140
+ "special": true
141
+ },
142
+ "32014": {
143
+ "content": "[Fully supported]",
144
+ "lstrip": false,
145
+ "normalized": false,
146
+ "rstrip": false,
147
+ "single_word": false,
148
+ "special": true
149
+ },
150
+ "32015": {
151
+ "content": "<pad>",
152
+ "lstrip": false,
153
+ "normalized": false,
154
+ "rstrip": false,
155
+ "single_word": false,
156
+ "special": true
157
+ }
158
+ },
159
+ "additional_special_tokens": [
160
+ "[Partially supported]",
161
+ "[Utility:1]",
162
+ "[Utility:2]",
163
+ "[No support / Contradictory]",
164
+ "[Retrieval]",
165
+ "<paragraph>",
166
+ "[Continue to Use Evidence]",
167
+ "[Relevant]",
168
+ "[Utility:3]",
169
+ "[Utility:5]",
170
+ "[No Retrieval]",
171
+ "[Irrelevant]",
172
+ "[Utility:4]",
173
+ "</paragraph>",
174
+ "[Fully supported]"
175
+ ],
176
+ "bos_token": "<s>",
177
+ "clean_up_tokenization_spaces": false,
178
+ "eos_token": "</s>",
179
+ "legacy": false,
180
+ "model_max_length": 2048,
181
+ "pad_token": "<pad>",
182
+ "padding_side": "right",
183
+ "sp_model_kwargs": {},
184
+ "spaces_between_special_tokens": false,
185
+ "tokenizer_class": "LlamaTokenizer",
186
+ "unk_token": "<unk>",
187
+ "use_default_system_prompt": true
188
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "train_loss": 0.6677660370086875,
4
+ "train_runtime": 2913.0719,
5
+ "train_samples": 14258,
6
+ "train_samples_per_second": 4.894,
7
+ "train_steps_per_second": 0.077
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,375 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 223,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0,
13
+ "grad_norm": 9.89770231320471,
14
+ "learning_rate": 2.1739130434782606e-08,
15
+ "logits/chosen": -1.3066810369491577,
16
+ "logits/rejected": -1.1899611949920654,
17
+ "logps/chosen": -190.14166259765625,
18
+ "logps/rejected": -191.2518310546875,
19
+ "loss": 0.6931,
20
+ "rewards/accuracies": 0.0,
21
+ "rewards/chosen": 0.0,
22
+ "rewards/margins": 0.0,
23
+ "rewards/rejected": 0.0,
24
+ "step": 1
25
+ },
26
+ {
27
+ "epoch": 0.04,
28
+ "grad_norm": 9.33253553043054,
29
+ "learning_rate": 2.1739130434782607e-07,
30
+ "logits/chosen": -0.7182029485702515,
31
+ "logits/rejected": -1.1984152793884277,
32
+ "logps/chosen": -120.43441772460938,
33
+ "logps/rejected": -182.3992919921875,
34
+ "loss": 0.6933,
35
+ "rewards/accuracies": 0.4583333432674408,
36
+ "rewards/chosen": 3.514537092996761e-05,
37
+ "rewards/margins": 0.00027891554054804146,
38
+ "rewards/rejected": -0.00024377032241318375,
39
+ "step": 10
40
+ },
41
+ {
42
+ "epoch": 0.09,
43
+ "grad_norm": 9.34106704706082,
44
+ "learning_rate": 4.3478260869565214e-07,
45
+ "logits/chosen": -0.7554597854614258,
46
+ "logits/rejected": -1.2149486541748047,
47
+ "logps/chosen": -119.57357025146484,
48
+ "logps/rejected": -192.81492614746094,
49
+ "loss": 0.6927,
50
+ "rewards/accuracies": 0.4749999940395355,
51
+ "rewards/chosen": -0.00020422041416168213,
52
+ "rewards/margins": -0.00024611633853055537,
53
+ "rewards/rejected": 4.189582614344545e-05,
54
+ "step": 20
55
+ },
56
+ {
57
+ "epoch": 0.13,
58
+ "grad_norm": 9.104090024380893,
59
+ "learning_rate": 4.984902388637949e-07,
60
+ "logits/chosen": -0.8330415487289429,
61
+ "logits/rejected": -1.2031960487365723,
62
+ "logps/chosen": -122.64117431640625,
63
+ "logps/rejected": -195.4859161376953,
64
+ "loss": 0.6922,
65
+ "rewards/accuracies": 0.5687500238418579,
66
+ "rewards/chosen": -0.0009992063278332353,
67
+ "rewards/margins": 0.0014079783577471972,
68
+ "rewards/rejected": -0.002407185034826398,
69
+ "step": 30
70
+ },
71
+ {
72
+ "epoch": 0.18,
73
+ "grad_norm": 9.627025658314095,
74
+ "learning_rate": 4.911393546144495e-07,
75
+ "logits/chosen": -0.8064976930618286,
76
+ "logits/rejected": -1.1510051488876343,
77
+ "logps/chosen": -132.39263916015625,
78
+ "logps/rejected": -191.39283752441406,
79
+ "loss": 0.6902,
80
+ "rewards/accuracies": 0.612500011920929,
81
+ "rewards/chosen": 0.0007292800582945347,
82
+ "rewards/margins": 0.0054230657406151295,
83
+ "rewards/rejected": -0.004693786613643169,
84
+ "step": 40
85
+ },
86
+ {
87
+ "epoch": 0.22,
88
+ "grad_norm": 9.23487552340627,
89
+ "learning_rate": 4.778508191588613e-07,
90
+ "logits/chosen": -0.8550766706466675,
91
+ "logits/rejected": -1.1777122020721436,
92
+ "logps/chosen": -133.31373596191406,
93
+ "logps/rejected": -179.41244506835938,
94
+ "loss": 0.6882,
95
+ "rewards/accuracies": 0.731249988079071,
96
+ "rewards/chosen": 0.0029656877741217613,
97
+ "rewards/margins": 0.012276900932192802,
98
+ "rewards/rejected": -0.009311212226748466,
99
+ "step": 50
100
+ },
101
+ {
102
+ "epoch": 0.27,
103
+ "grad_norm": 9.05100661494371,
104
+ "learning_rate": 4.5895184034206755e-07,
105
+ "logits/chosen": -0.8925403356552124,
106
+ "logits/rejected": -1.131866216659546,
107
+ "logps/chosen": -136.6233673095703,
108
+ "logps/rejected": -188.6793975830078,
109
+ "loss": 0.6856,
110
+ "rewards/accuracies": 0.7437499761581421,
111
+ "rewards/chosen": 0.001518428442068398,
112
+ "rewards/margins": 0.012228612788021564,
113
+ "rewards/rejected": -0.010710184462368488,
114
+ "step": 60
115
+ },
116
+ {
117
+ "epoch": 0.31,
118
+ "grad_norm": 9.997440253666376,
119
+ "learning_rate": 4.3490777374465244e-07,
120
+ "logits/chosen": -0.9242467880249023,
121
+ "logits/rejected": -1.2503801584243774,
122
+ "logps/chosen": -145.55833435058594,
123
+ "logps/rejected": -184.1634063720703,
124
+ "loss": 0.6833,
125
+ "rewards/accuracies": 0.7749999761581421,
126
+ "rewards/chosen": 0.002613705350086093,
127
+ "rewards/margins": 0.020717555657029152,
128
+ "rewards/rejected": -0.01810384914278984,
129
+ "step": 70
130
+ },
131
+ {
132
+ "epoch": 0.36,
133
+ "grad_norm": 9.187427456431445,
134
+ "learning_rate": 4.063106640839263e-07,
135
+ "logits/chosen": -0.8415228724479675,
136
+ "logits/rejected": -1.3067677021026611,
137
+ "logps/chosen": -135.7071990966797,
138
+ "logps/rejected": -211.23416137695312,
139
+ "loss": 0.6784,
140
+ "rewards/accuracies": 0.7875000238418579,
141
+ "rewards/chosen": 0.003357144072651863,
142
+ "rewards/margins": 0.03158879652619362,
143
+ "rewards/rejected": -0.028231654316186905,
144
+ "step": 80
145
+ },
146
+ {
147
+ "epoch": 0.4,
148
+ "grad_norm": 9.183369355368722,
149
+ "learning_rate": 3.7386466710810187e-07,
150
+ "logits/chosen": -0.8030783534049988,
151
+ "logits/rejected": -1.106172800064087,
152
+ "logps/chosen": -124.84532165527344,
153
+ "logps/rejected": -189.9628143310547,
154
+ "loss": 0.6759,
155
+ "rewards/accuracies": 0.8500000238418579,
156
+ "rewards/chosen": 0.0018527141073718667,
157
+ "rewards/margins": 0.03642088547348976,
158
+ "rewards/rejected": -0.034568168222904205,
159
+ "step": 90
160
+ },
161
+ {
162
+ "epoch": 0.45,
163
+ "grad_norm": 9.558099135591291,
164
+ "learning_rate": 3.383687109448143e-07,
165
+ "logits/chosen": -0.8545591235160828,
166
+ "logits/rejected": -1.2025887966156006,
167
+ "logps/chosen": -160.20260620117188,
168
+ "logps/rejected": -195.79226684570312,
169
+ "loss": 0.6732,
170
+ "rewards/accuracies": 0.8062499761581421,
171
+ "rewards/chosen": -0.006974806543439627,
172
+ "rewards/margins": 0.03974348306655884,
173
+ "rewards/rejected": -0.0467182882130146,
174
+ "step": 100
175
+ },
176
+ {
177
+ "epoch": 0.49,
178
+ "grad_norm": 9.470887743050254,
179
+ "learning_rate": 3.0069682383912807e-07,
180
+ "logits/chosen": -0.8946328163146973,
181
+ "logits/rejected": -1.2082103490829468,
182
+ "logps/chosen": -136.27890014648438,
183
+ "logps/rejected": -195.939453125,
184
+ "loss": 0.6686,
185
+ "rewards/accuracies": 0.8374999761581421,
186
+ "rewards/chosen": -0.005538312252610922,
187
+ "rewards/margins": 0.05113464593887329,
188
+ "rewards/rejected": -0.05667296051979065,
189
+ "step": 110
190
+ },
191
+ {
192
+ "epoch": 0.54,
193
+ "grad_norm": 9.426731682830118,
194
+ "learning_rate": 2.6177661267741063e-07,
195
+ "logits/chosen": -0.9082379341125488,
196
+ "logits/rejected": -1.268019437789917,
197
+ "logps/chosen": -129.68191528320312,
198
+ "logps/rejected": -195.88900756835938,
199
+ "loss": 0.6638,
200
+ "rewards/accuracies": 0.887499988079071,
201
+ "rewards/chosen": -0.004824039526283741,
202
+ "rewards/margins": 0.06547943502664566,
203
+ "rewards/rejected": -0.07030347734689713,
204
+ "step": 120
205
+ },
206
+ {
207
+ "epoch": 0.58,
208
+ "grad_norm": 10.012422462946702,
209
+ "learning_rate": 2.2256642222723867e-07,
210
+ "logits/chosen": -0.9008873701095581,
211
+ "logits/rejected": -1.2844858169555664,
212
+ "logps/chosen": -122.87223052978516,
213
+ "logps/rejected": -198.33155822753906,
214
+ "loss": 0.6586,
215
+ "rewards/accuracies": 0.8374999761581421,
216
+ "rewards/chosen": -0.01183926872909069,
217
+ "rewards/margins": 0.07219536602497101,
218
+ "rewards/rejected": -0.08403463661670685,
219
+ "step": 130
220
+ },
221
+ {
222
+ "epoch": 0.63,
223
+ "grad_norm": 10.278151003618936,
224
+ "learning_rate": 1.8403173750865683e-07,
225
+ "logits/chosen": -0.8554606437683105,
226
+ "logits/rejected": -1.2466466426849365,
227
+ "logps/chosen": -143.69813537597656,
228
+ "logps/rejected": -194.7081298828125,
229
+ "loss": 0.66,
230
+ "rewards/accuracies": 0.8374999761581421,
231
+ "rewards/chosen": -0.028567075729370117,
232
+ "rewards/margins": 0.06817030906677246,
233
+ "rewards/rejected": -0.09673738479614258,
234
+ "step": 140
235
+ },
236
+ {
237
+ "epoch": 0.67,
238
+ "grad_norm": 10.058138299560008,
239
+ "learning_rate": 1.471214103487228e-07,
240
+ "logits/chosen": -0.948029637336731,
241
+ "logits/rejected": -1.2443821430206299,
242
+ "logps/chosen": -126.2611312866211,
243
+ "logps/rejected": -193.74984741210938,
244
+ "loss": 0.6567,
245
+ "rewards/accuracies": 0.856249988079071,
246
+ "rewards/chosen": -0.02120281383395195,
247
+ "rewards/margins": 0.08252517133951187,
248
+ "rewards/rejected": -0.10372798144817352,
249
+ "step": 150
250
+ },
251
+ {
252
+ "epoch": 0.72,
253
+ "grad_norm": 10.590989952026893,
254
+ "learning_rate": 1.1274429550046701e-07,
255
+ "logits/chosen": -0.9630361795425415,
256
+ "logits/rejected": -1.3080346584320068,
257
+ "logps/chosen": -137.56187438964844,
258
+ "logps/rejected": -211.8583526611328,
259
+ "loss": 0.6551,
260
+ "rewards/accuracies": 0.831250011920929,
261
+ "rewards/chosen": -0.041766177862882614,
262
+ "rewards/margins": 0.0846499651670456,
263
+ "rewards/rejected": -0.1264161467552185,
264
+ "step": 160
265
+ },
266
+ {
267
+ "epoch": 0.76,
268
+ "grad_norm": 10.046412745054047,
269
+ "learning_rate": 8.174687162255673e-08,
270
+ "logits/chosen": -0.8078781366348267,
271
+ "logits/rejected": -1.2546970844268799,
272
+ "logps/chosen": -131.09913635253906,
273
+ "logps/rejected": -185.79489135742188,
274
+ "loss": 0.6495,
275
+ "rewards/accuracies": 0.84375,
276
+ "rewards/chosen": -0.03623218461871147,
277
+ "rewards/margins": 0.08339719474315643,
278
+ "rewards/rejected": -0.11962936818599701,
279
+ "step": 170
280
+ },
281
+ {
282
+ "epoch": 0.81,
283
+ "grad_norm": 10.575942205861123,
284
+ "learning_rate": 5.489239816541755e-08,
285
+ "logits/chosen": -0.8742658495903015,
286
+ "logits/rejected": -1.3499236106872559,
287
+ "logps/chosen": -126.0824203491211,
288
+ "logps/rejected": -215.39071655273438,
289
+ "loss": 0.646,
290
+ "rewards/accuracies": 0.831250011920929,
291
+ "rewards/chosen": -0.035958122462034225,
292
+ "rewards/margins": 0.10524071753025055,
293
+ "rewards/rejected": -0.14119884371757507,
294
+ "step": 180
295
+ },
296
+ {
297
+ "epoch": 0.85,
298
+ "grad_norm": 11.01986954869563,
299
+ "learning_rate": 3.2842121390452224e-08,
300
+ "logits/chosen": -0.9610059857368469,
301
+ "logits/rejected": -1.3607670068740845,
302
+ "logps/chosen": -133.7125244140625,
303
+ "logps/rejected": -217.3642120361328,
304
+ "loss": 0.6496,
305
+ "rewards/accuracies": 0.8187500238418579,
306
+ "rewards/chosen": -0.049020860344171524,
307
+ "rewards/margins": 0.09572702646255493,
308
+ "rewards/rejected": -0.14474789798259735,
309
+ "step": 190
310
+ },
311
+ {
312
+ "epoch": 0.9,
313
+ "grad_norm": 10.150344499203792,
314
+ "learning_rate": 1.6138992292533182e-08,
315
+ "logits/chosen": -0.8730287551879883,
316
+ "logits/rejected": -1.3922489881515503,
317
+ "logps/chosen": -132.81820678710938,
318
+ "logps/rejected": -212.6441192626953,
319
+ "loss": 0.6445,
320
+ "rewards/accuracies": 0.887499988079071,
321
+ "rewards/chosen": -0.046734295785427094,
322
+ "rewards/margins": 0.10609643161296844,
323
+ "rewards/rejected": -0.15283071994781494,
324
+ "step": 200
325
+ },
326
+ {
327
+ "epoch": 0.94,
328
+ "grad_norm": 10.624851033611936,
329
+ "learning_rate": 5.194297344558534e-09,
330
+ "logits/chosen": -0.9464960098266602,
331
+ "logits/rejected": -1.3372732400894165,
332
+ "logps/chosen": -142.20260620117188,
333
+ "logps/rejected": -218.54898071289062,
334
+ "loss": 0.648,
335
+ "rewards/accuracies": 0.8374999761581421,
336
+ "rewards/chosen": -0.04380584880709648,
337
+ "rewards/margins": 0.10490747541189194,
338
+ "rewards/rejected": -0.14871332049369812,
339
+ "step": 210
340
+ },
341
+ {
342
+ "epoch": 0.99,
343
+ "grad_norm": 10.584763250355945,
344
+ "learning_rate": 2.775312595075241e-10,
345
+ "logits/chosen": -0.9528037309646606,
346
+ "logits/rejected": -1.2510448694229126,
347
+ "logps/chosen": -146.1761932373047,
348
+ "logps/rejected": -200.77236938476562,
349
+ "loss": 0.6465,
350
+ "rewards/accuracies": 0.8187500238418579,
351
+ "rewards/chosen": -0.05798276513814926,
352
+ "rewards/margins": 0.09351377934217453,
353
+ "rewards/rejected": -0.1514965295791626,
354
+ "step": 220
355
+ },
356
+ {
357
+ "epoch": 1.0,
358
+ "step": 223,
359
+ "total_flos": 0.0,
360
+ "train_loss": 0.6677660370086875,
361
+ "train_runtime": 2913.0719,
362
+ "train_samples_per_second": 4.894,
363
+ "train_steps_per_second": 0.077
364
+ }
365
+ ],
366
+ "logging_steps": 10,
367
+ "max_steps": 223,
368
+ "num_input_tokens_seen": 0,
369
+ "num_train_epochs": 1,
370
+ "save_steps": 500,
371
+ "total_flos": 0.0,
372
+ "train_batch_size": 8,
373
+ "trial_name": null,
374
+ "trial_params": null
375
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6056f013b912a40543fec5406a7122e2d501982e7bf458a3f0cc8400b6425173
3
+ size 6264