FlippyDora commited on
Commit
9532cf2
·
verified ·
1 Parent(s): 3c9d73a

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
config.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/gemma-2-2b-it",
3
+ "architectures": [
4
+ "Gemma2ForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "attn_logit_softcapping": 50.0,
9
+ "bos_token_id": 2,
10
+ "cache_implementation": "hybrid",
11
+ "eos_token_id": [
12
+ 1,
13
+ 107
14
+ ],
15
+ "final_logit_softcapping": 30.0,
16
+ "head_dim": 256,
17
+ "hidden_act": "gelu_pytorch_tanh",
18
+ "hidden_activation": "gelu_pytorch_tanh",
19
+ "hidden_size": 2304,
20
+ "initializer_range": 0.02,
21
+ "intermediate_size": 9216,
22
+ "max_position_embeddings": 8192,
23
+ "model_type": "gemma2",
24
+ "num_attention_heads": 8,
25
+ "num_hidden_layers": 26,
26
+ "num_key_value_heads": 4,
27
+ "pad_token_id": 0,
28
+ "query_pre_attn_scalar": 256,
29
+ "rms_norm_eps": 1e-06,
30
+ "rope_theta": 10000.0,
31
+ "sliding_window": 4096,
32
+ "torch_dtype": "bfloat16",
33
+ "transformers_version": "4.44.1",
34
+ "use_cache": false,
35
+ "vocab_size": 256000
36
+ }
generation_config.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 2,
4
+ "cache_implementation": "hybrid",
5
+ "eos_token_id": [
6
+ 1,
7
+ 107
8
+ ],
9
+ "pad_token_id": 0,
10
+ "transformers_version": "4.44.1"
11
+ }
model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0508d7b781456ee3ab21be551b9470ead7c0326897b6c5bce4ce4e86ca0bb0b3
3
+ size 4988025760
model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:151bd9b0adc1a430446c4453681a6c4b72e2deefafcf98c468c8304ebf70d3bd
3
+ size 1420339880
model.safetensors.index.json ADDED
@@ -0,0 +1,296 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 6408331776
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00002-of-00002.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00002.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
13
+ "model.layers.0.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
14
+ "model.layers.0.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
17
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
18
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
19
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
20
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
21
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
22
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
23
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
24
+ "model.layers.1.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
25
+ "model.layers.1.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
26
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
27
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
28
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
29
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
30
+ "model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
31
+ "model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
32
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
33
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
34
+ "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
35
+ "model.layers.10.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
36
+ "model.layers.10.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
37
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
38
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
39
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
40
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
41
+ "model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
42
+ "model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
43
+ "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
44
+ "model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
45
+ "model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
46
+ "model.layers.11.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
47
+ "model.layers.11.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
48
+ "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
49
+ "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
50
+ "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
51
+ "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
52
+ "model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
53
+ "model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
54
+ "model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
55
+ "model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
56
+ "model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
57
+ "model.layers.12.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
58
+ "model.layers.12.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
59
+ "model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
60
+ "model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
61
+ "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
62
+ "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
63
+ "model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
64
+ "model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
65
+ "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
66
+ "model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
67
+ "model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
68
+ "model.layers.13.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
69
+ "model.layers.13.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
70
+ "model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
71
+ "model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
72
+ "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
73
+ "model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
74
+ "model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
75
+ "model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
76
+ "model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
77
+ "model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
78
+ "model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
79
+ "model.layers.14.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
80
+ "model.layers.14.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
81
+ "model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
82
+ "model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
83
+ "model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
84
+ "model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
85
+ "model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
86
+ "model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
87
+ "model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
88
+ "model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
89
+ "model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
90
+ "model.layers.15.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
91
+ "model.layers.15.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
92
+ "model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
93
+ "model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
94
+ "model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
95
+ "model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
96
+ "model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
97
+ "model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
98
+ "model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
99
+ "model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
100
+ "model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
101
+ "model.layers.16.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
102
+ "model.layers.16.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
103
+ "model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
104
+ "model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
105
+ "model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
106
+ "model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
107
+ "model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
108
+ "model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
109
+ "model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
110
+ "model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
111
+ "model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
112
+ "model.layers.17.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
113
+ "model.layers.17.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
114
+ "model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
115
+ "model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
116
+ "model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
117
+ "model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
118
+ "model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
119
+ "model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
120
+ "model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
121
+ "model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
122
+ "model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
123
+ "model.layers.18.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
124
+ "model.layers.18.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
125
+ "model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
126
+ "model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
127
+ "model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
128
+ "model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
129
+ "model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
130
+ "model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
131
+ "model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
132
+ "model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
133
+ "model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
134
+ "model.layers.19.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
135
+ "model.layers.19.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
136
+ "model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
137
+ "model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
138
+ "model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
139
+ "model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
140
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
141
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
142
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
143
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
144
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
145
+ "model.layers.2.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
146
+ "model.layers.2.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
147
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
148
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
149
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
150
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
151
+ "model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
152
+ "model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
153
+ "model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
154
+ "model.layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
155
+ "model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
156
+ "model.layers.20.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
157
+ "model.layers.20.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
158
+ "model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
159
+ "model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
160
+ "model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
161
+ "model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
162
+ "model.layers.21.input_layernorm.weight": "model-00001-of-00002.safetensors",
163
+ "model.layers.21.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
164
+ "model.layers.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
165
+ "model.layers.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
166
+ "model.layers.21.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
167
+ "model.layers.21.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
168
+ "model.layers.21.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
169
+ "model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
170
+ "model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
171
+ "model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
172
+ "model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
173
+ "model.layers.22.input_layernorm.weight": "model-00001-of-00002.safetensors",
174
+ "model.layers.22.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
175
+ "model.layers.22.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
176
+ "model.layers.22.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
177
+ "model.layers.22.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
178
+ "model.layers.22.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
179
+ "model.layers.22.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
180
+ "model.layers.22.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
181
+ "model.layers.22.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
182
+ "model.layers.22.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
183
+ "model.layers.22.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
184
+ "model.layers.23.input_layernorm.weight": "model-00001-of-00002.safetensors",
185
+ "model.layers.23.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
186
+ "model.layers.23.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
187
+ "model.layers.23.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
188
+ "model.layers.23.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
189
+ "model.layers.23.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
190
+ "model.layers.23.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
191
+ "model.layers.23.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
192
+ "model.layers.23.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
193
+ "model.layers.23.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
194
+ "model.layers.23.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
195
+ "model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
196
+ "model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
197
+ "model.layers.24.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
198
+ "model.layers.24.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
199
+ "model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
200
+ "model.layers.24.post_feedforward_layernorm.weight": "model-00002-of-00002.safetensors",
201
+ "model.layers.24.pre_feedforward_layernorm.weight": "model-00002-of-00002.safetensors",
202
+ "model.layers.24.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
203
+ "model.layers.24.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
204
+ "model.layers.24.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
205
+ "model.layers.24.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
206
+ "model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
207
+ "model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
208
+ "model.layers.25.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
209
+ "model.layers.25.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
210
+ "model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
211
+ "model.layers.25.post_feedforward_layernorm.weight": "model-00002-of-00002.safetensors",
212
+ "model.layers.25.pre_feedforward_layernorm.weight": "model-00002-of-00002.safetensors",
213
+ "model.layers.25.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
214
+ "model.layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
215
+ "model.layers.25.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
216
+ "model.layers.25.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
217
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
218
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
219
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
220
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
221
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
222
+ "model.layers.3.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
223
+ "model.layers.3.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
224
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
225
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
226
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
227
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
228
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
229
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
230
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
231
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
232
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
233
+ "model.layers.4.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
234
+ "model.layers.4.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
235
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
236
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
237
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
238
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
239
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
240
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
241
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
242
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
243
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
244
+ "model.layers.5.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
245
+ "model.layers.5.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
246
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
247
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
248
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
249
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
250
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
251
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
252
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
253
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
254
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
255
+ "model.layers.6.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
256
+ "model.layers.6.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
257
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
258
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
259
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
260
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
261
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
262
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
263
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
264
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
265
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
266
+ "model.layers.7.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
267
+ "model.layers.7.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
268
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
269
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
270
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
271
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
272
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
273
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
274
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
275
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
276
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
277
+ "model.layers.8.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
278
+ "model.layers.8.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
279
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
280
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
281
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
282
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
283
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
284
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
285
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
286
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
287
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
288
+ "model.layers.9.post_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
289
+ "model.layers.9.pre_feedforward_layernorm.weight": "model-00001-of-00002.safetensors",
290
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
291
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
292
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
293
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
294
+ "model.norm.weight": "model-00002-of-00002.safetensors"
295
+ }
296
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<start_of_turn>",
4
+ "<end_of_turn>"
5
+ ],
6
+ "bos_token": {
7
+ "content": "<bos>",
8
+ "lstrip": false,
9
+ "normalized": false,
10
+ "rstrip": false,
11
+ "single_word": false
12
+ },
13
+ "eos_token": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "pad_token": {
21
+ "content": "<pad>",
22
+ "lstrip": false,
23
+ "normalized": false,
24
+ "rstrip": false,
25
+ "single_word": false
26
+ },
27
+ "unk_token": {
28
+ "content": "<unk>",
29
+ "lstrip": false,
30
+ "normalized": false,
31
+ "rstrip": false,
32
+ "single_word": false
33
+ }
34
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3f289bc05132635a8bc7aca7aa21255efd5e18f3710f43e3cdb96bcd41be4922
3
+ size 17525357
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:61a7b147390c64585d6c3543dd6fc636906c9af3865a5548f27f31aee1d4c8e2
3
+ size 4241003
tokenizer_config.json ADDED
@@ -0,0 +1,2013 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<pad>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<eos>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "<bos>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "3": {
30
+ "content": "<unk>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "4": {
38
+ "content": "<mask>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": false
44
+ },
45
+ "5": {
46
+ "content": "<2mass>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": false
52
+ },
53
+ "6": {
54
+ "content": "[@BOS@]",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": false
60
+ },
61
+ "7": {
62
+ "content": "<unused0>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": false
68
+ },
69
+ "8": {
70
+ "content": "<unused1>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": false
76
+ },
77
+ "9": {
78
+ "content": "<unused2>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": false
84
+ },
85
+ "10": {
86
+ "content": "<unused3>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": false
92
+ },
93
+ "11": {
94
+ "content": "<unused4>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": false
100
+ },
101
+ "12": {
102
+ "content": "<unused5>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": false
108
+ },
109
+ "13": {
110
+ "content": "<unused6>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": false
116
+ },
117
+ "14": {
118
+ "content": "<unused7>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "15": {
126
+ "content": "<unused8>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "16": {
134
+ "content": "<unused9>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "17": {
142
+ "content": "<unused10>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "18": {
150
+ "content": "<unused11>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "19": {
158
+ "content": "<unused12>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "20": {
166
+ "content": "<unused13>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "21": {
174
+ "content": "<unused14>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "22": {
182
+ "content": "<unused15>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": false
188
+ },
189
+ "23": {
190
+ "content": "<unused16>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": false
196
+ },
197
+ "24": {
198
+ "content": "<unused17>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": false
204
+ },
205
+ "25": {
206
+ "content": "<unused18>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": false
212
+ },
213
+ "26": {
214
+ "content": "<unused19>",
215
+ "lstrip": false,
216
+ "normalized": false,
217
+ "rstrip": false,
218
+ "single_word": false,
219
+ "special": false
220
+ },
221
+ "27": {
222
+ "content": "<unused20>",
223
+ "lstrip": false,
224
+ "normalized": false,
225
+ "rstrip": false,
226
+ "single_word": false,
227
+ "special": false
228
+ },
229
+ "28": {
230
+ "content": "<unused21>",
231
+ "lstrip": false,
232
+ "normalized": false,
233
+ "rstrip": false,
234
+ "single_word": false,
235
+ "special": false
236
+ },
237
+ "29": {
238
+ "content": "<unused22>",
239
+ "lstrip": false,
240
+ "normalized": false,
241
+ "rstrip": false,
242
+ "single_word": false,
243
+ "special": false
244
+ },
245
+ "30": {
246
+ "content": "<unused23>",
247
+ "lstrip": false,
248
+ "normalized": false,
249
+ "rstrip": false,
250
+ "single_word": false,
251
+ "special": false
252
+ },
253
+ "31": {
254
+ "content": "<unused24>",
255
+ "lstrip": false,
256
+ "normalized": false,
257
+ "rstrip": false,
258
+ "single_word": false,
259
+ "special": false
260
+ },
261
+ "32": {
262
+ "content": "<unused25>",
263
+ "lstrip": false,
264
+ "normalized": false,
265
+ "rstrip": false,
266
+ "single_word": false,
267
+ "special": false
268
+ },
269
+ "33": {
270
+ "content": "<unused26>",
271
+ "lstrip": false,
272
+ "normalized": false,
273
+ "rstrip": false,
274
+ "single_word": false,
275
+ "special": false
276
+ },
277
+ "34": {
278
+ "content": "<unused27>",
279
+ "lstrip": false,
280
+ "normalized": false,
281
+ "rstrip": false,
282
+ "single_word": false,
283
+ "special": false
284
+ },
285
+ "35": {
286
+ "content": "<unused28>",
287
+ "lstrip": false,
288
+ "normalized": false,
289
+ "rstrip": false,
290
+ "single_word": false,
291
+ "special": false
292
+ },
293
+ "36": {
294
+ "content": "<unused29>",
295
+ "lstrip": false,
296
+ "normalized": false,
297
+ "rstrip": false,
298
+ "single_word": false,
299
+ "special": false
300
+ },
301
+ "37": {
302
+ "content": "<unused30>",
303
+ "lstrip": false,
304
+ "normalized": false,
305
+ "rstrip": false,
306
+ "single_word": false,
307
+ "special": false
308
+ },
309
+ "38": {
310
+ "content": "<unused31>",
311
+ "lstrip": false,
312
+ "normalized": false,
313
+ "rstrip": false,
314
+ "single_word": false,
315
+ "special": false
316
+ },
317
+ "39": {
318
+ "content": "<unused32>",
319
+ "lstrip": false,
320
+ "normalized": false,
321
+ "rstrip": false,
322
+ "single_word": false,
323
+ "special": false
324
+ },
325
+ "40": {
326
+ "content": "<unused33>",
327
+ "lstrip": false,
328
+ "normalized": false,
329
+ "rstrip": false,
330
+ "single_word": false,
331
+ "special": false
332
+ },
333
+ "41": {
334
+ "content": "<unused34>",
335
+ "lstrip": false,
336
+ "normalized": false,
337
+ "rstrip": false,
338
+ "single_word": false,
339
+ "special": false
340
+ },
341
+ "42": {
342
+ "content": "<unused35>",
343
+ "lstrip": false,
344
+ "normalized": false,
345
+ "rstrip": false,
346
+ "single_word": false,
347
+ "special": false
348
+ },
349
+ "43": {
350
+ "content": "<unused36>",
351
+ "lstrip": false,
352
+ "normalized": false,
353
+ "rstrip": false,
354
+ "single_word": false,
355
+ "special": false
356
+ },
357
+ "44": {
358
+ "content": "<unused37>",
359
+ "lstrip": false,
360
+ "normalized": false,
361
+ "rstrip": false,
362
+ "single_word": false,
363
+ "special": false
364
+ },
365
+ "45": {
366
+ "content": "<unused38>",
367
+ "lstrip": false,
368
+ "normalized": false,
369
+ "rstrip": false,
370
+ "single_word": false,
371
+ "special": false
372
+ },
373
+ "46": {
374
+ "content": "<unused39>",
375
+ "lstrip": false,
376
+ "normalized": false,
377
+ "rstrip": false,
378
+ "single_word": false,
379
+ "special": false
380
+ },
381
+ "47": {
382
+ "content": "<unused40>",
383
+ "lstrip": false,
384
+ "normalized": false,
385
+ "rstrip": false,
386
+ "single_word": false,
387
+ "special": false
388
+ },
389
+ "48": {
390
+ "content": "<unused41>",
391
+ "lstrip": false,
392
+ "normalized": false,
393
+ "rstrip": false,
394
+ "single_word": false,
395
+ "special": false
396
+ },
397
+ "49": {
398
+ "content": "<unused42>",
399
+ "lstrip": false,
400
+ "normalized": false,
401
+ "rstrip": false,
402
+ "single_word": false,
403
+ "special": false
404
+ },
405
+ "50": {
406
+ "content": "<unused43>",
407
+ "lstrip": false,
408
+ "normalized": false,
409
+ "rstrip": false,
410
+ "single_word": false,
411
+ "special": false
412
+ },
413
+ "51": {
414
+ "content": "<unused44>",
415
+ "lstrip": false,
416
+ "normalized": false,
417
+ "rstrip": false,
418
+ "single_word": false,
419
+ "special": false
420
+ },
421
+ "52": {
422
+ "content": "<unused45>",
423
+ "lstrip": false,
424
+ "normalized": false,
425
+ "rstrip": false,
426
+ "single_word": false,
427
+ "special": false
428
+ },
429
+ "53": {
430
+ "content": "<unused46>",
431
+ "lstrip": false,
432
+ "normalized": false,
433
+ "rstrip": false,
434
+ "single_word": false,
435
+ "special": false
436
+ },
437
+ "54": {
438
+ "content": "<unused47>",
439
+ "lstrip": false,
440
+ "normalized": false,
441
+ "rstrip": false,
442
+ "single_word": false,
443
+ "special": false
444
+ },
445
+ "55": {
446
+ "content": "<unused48>",
447
+ "lstrip": false,
448
+ "normalized": false,
449
+ "rstrip": false,
450
+ "single_word": false,
451
+ "special": false
452
+ },
453
+ "56": {
454
+ "content": "<unused49>",
455
+ "lstrip": false,
456
+ "normalized": false,
457
+ "rstrip": false,
458
+ "single_word": false,
459
+ "special": false
460
+ },
461
+ "57": {
462
+ "content": "<unused50>",
463
+ "lstrip": false,
464
+ "normalized": false,
465
+ "rstrip": false,
466
+ "single_word": false,
467
+ "special": false
468
+ },
469
+ "58": {
470
+ "content": "<unused51>",
471
+ "lstrip": false,
472
+ "normalized": false,
473
+ "rstrip": false,
474
+ "single_word": false,
475
+ "special": false
476
+ },
477
+ "59": {
478
+ "content": "<unused52>",
479
+ "lstrip": false,
480
+ "normalized": false,
481
+ "rstrip": false,
482
+ "single_word": false,
483
+ "special": false
484
+ },
485
+ "60": {
486
+ "content": "<unused53>",
487
+ "lstrip": false,
488
+ "normalized": false,
489
+ "rstrip": false,
490
+ "single_word": false,
491
+ "special": false
492
+ },
493
+ "61": {
494
+ "content": "<unused54>",
495
+ "lstrip": false,
496
+ "normalized": false,
497
+ "rstrip": false,
498
+ "single_word": false,
499
+ "special": false
500
+ },
501
+ "62": {
502
+ "content": "<unused55>",
503
+ "lstrip": false,
504
+ "normalized": false,
505
+ "rstrip": false,
506
+ "single_word": false,
507
+ "special": false
508
+ },
509
+ "63": {
510
+ "content": "<unused56>",
511
+ "lstrip": false,
512
+ "normalized": false,
513
+ "rstrip": false,
514
+ "single_word": false,
515
+ "special": false
516
+ },
517
+ "64": {
518
+ "content": "<unused57>",
519
+ "lstrip": false,
520
+ "normalized": false,
521
+ "rstrip": false,
522
+ "single_word": false,
523
+ "special": false
524
+ },
525
+ "65": {
526
+ "content": "<unused58>",
527
+ "lstrip": false,
528
+ "normalized": false,
529
+ "rstrip": false,
530
+ "single_word": false,
531
+ "special": false
532
+ },
533
+ "66": {
534
+ "content": "<unused59>",
535
+ "lstrip": false,
536
+ "normalized": false,
537
+ "rstrip": false,
538
+ "single_word": false,
539
+ "special": false
540
+ },
541
+ "67": {
542
+ "content": "<unused60>",
543
+ "lstrip": false,
544
+ "normalized": false,
545
+ "rstrip": false,
546
+ "single_word": false,
547
+ "special": false
548
+ },
549
+ "68": {
550
+ "content": "<unused61>",
551
+ "lstrip": false,
552
+ "normalized": false,
553
+ "rstrip": false,
554
+ "single_word": false,
555
+ "special": false
556
+ },
557
+ "69": {
558
+ "content": "<unused62>",
559
+ "lstrip": false,
560
+ "normalized": false,
561
+ "rstrip": false,
562
+ "single_word": false,
563
+ "special": false
564
+ },
565
+ "70": {
566
+ "content": "<unused63>",
567
+ "lstrip": false,
568
+ "normalized": false,
569
+ "rstrip": false,
570
+ "single_word": false,
571
+ "special": false
572
+ },
573
+ "71": {
574
+ "content": "<unused64>",
575
+ "lstrip": false,
576
+ "normalized": false,
577
+ "rstrip": false,
578
+ "single_word": false,
579
+ "special": false
580
+ },
581
+ "72": {
582
+ "content": "<unused65>",
583
+ "lstrip": false,
584
+ "normalized": false,
585
+ "rstrip": false,
586
+ "single_word": false,
587
+ "special": false
588
+ },
589
+ "73": {
590
+ "content": "<unused66>",
591
+ "lstrip": false,
592
+ "normalized": false,
593
+ "rstrip": false,
594
+ "single_word": false,
595
+ "special": false
596
+ },
597
+ "74": {
598
+ "content": "<unused67>",
599
+ "lstrip": false,
600
+ "normalized": false,
601
+ "rstrip": false,
602
+ "single_word": false,
603
+ "special": false
604
+ },
605
+ "75": {
606
+ "content": "<unused68>",
607
+ "lstrip": false,
608
+ "normalized": false,
609
+ "rstrip": false,
610
+ "single_word": false,
611
+ "special": false
612
+ },
613
+ "76": {
614
+ "content": "<unused69>",
615
+ "lstrip": false,
616
+ "normalized": false,
617
+ "rstrip": false,
618
+ "single_word": false,
619
+ "special": false
620
+ },
621
+ "77": {
622
+ "content": "<unused70>",
623
+ "lstrip": false,
624
+ "normalized": false,
625
+ "rstrip": false,
626
+ "single_word": false,
627
+ "special": false
628
+ },
629
+ "78": {
630
+ "content": "<unused71>",
631
+ "lstrip": false,
632
+ "normalized": false,
633
+ "rstrip": false,
634
+ "single_word": false,
635
+ "special": false
636
+ },
637
+ "79": {
638
+ "content": "<unused72>",
639
+ "lstrip": false,
640
+ "normalized": false,
641
+ "rstrip": false,
642
+ "single_word": false,
643
+ "special": false
644
+ },
645
+ "80": {
646
+ "content": "<unused73>",
647
+ "lstrip": false,
648
+ "normalized": false,
649
+ "rstrip": false,
650
+ "single_word": false,
651
+ "special": false
652
+ },
653
+ "81": {
654
+ "content": "<unused74>",
655
+ "lstrip": false,
656
+ "normalized": false,
657
+ "rstrip": false,
658
+ "single_word": false,
659
+ "special": false
660
+ },
661
+ "82": {
662
+ "content": "<unused75>",
663
+ "lstrip": false,
664
+ "normalized": false,
665
+ "rstrip": false,
666
+ "single_word": false,
667
+ "special": false
668
+ },
669
+ "83": {
670
+ "content": "<unused76>",
671
+ "lstrip": false,
672
+ "normalized": false,
673
+ "rstrip": false,
674
+ "single_word": false,
675
+ "special": false
676
+ },
677
+ "84": {
678
+ "content": "<unused77>",
679
+ "lstrip": false,
680
+ "normalized": false,
681
+ "rstrip": false,
682
+ "single_word": false,
683
+ "special": false
684
+ },
685
+ "85": {
686
+ "content": "<unused78>",
687
+ "lstrip": false,
688
+ "normalized": false,
689
+ "rstrip": false,
690
+ "single_word": false,
691
+ "special": false
692
+ },
693
+ "86": {
694
+ "content": "<unused79>",
695
+ "lstrip": false,
696
+ "normalized": false,
697
+ "rstrip": false,
698
+ "single_word": false,
699
+ "special": false
700
+ },
701
+ "87": {
702
+ "content": "<unused80>",
703
+ "lstrip": false,
704
+ "normalized": false,
705
+ "rstrip": false,
706
+ "single_word": false,
707
+ "special": false
708
+ },
709
+ "88": {
710
+ "content": "<unused81>",
711
+ "lstrip": false,
712
+ "normalized": false,
713
+ "rstrip": false,
714
+ "single_word": false,
715
+ "special": false
716
+ },
717
+ "89": {
718
+ "content": "<unused82>",
719
+ "lstrip": false,
720
+ "normalized": false,
721
+ "rstrip": false,
722
+ "single_word": false,
723
+ "special": false
724
+ },
725
+ "90": {
726
+ "content": "<unused83>",
727
+ "lstrip": false,
728
+ "normalized": false,
729
+ "rstrip": false,
730
+ "single_word": false,
731
+ "special": false
732
+ },
733
+ "91": {
734
+ "content": "<unused84>",
735
+ "lstrip": false,
736
+ "normalized": false,
737
+ "rstrip": false,
738
+ "single_word": false,
739
+ "special": false
740
+ },
741
+ "92": {
742
+ "content": "<unused85>",
743
+ "lstrip": false,
744
+ "normalized": false,
745
+ "rstrip": false,
746
+ "single_word": false,
747
+ "special": false
748
+ },
749
+ "93": {
750
+ "content": "<unused86>",
751
+ "lstrip": false,
752
+ "normalized": false,
753
+ "rstrip": false,
754
+ "single_word": false,
755
+ "special": false
756
+ },
757
+ "94": {
758
+ "content": "<unused87>",
759
+ "lstrip": false,
760
+ "normalized": false,
761
+ "rstrip": false,
762
+ "single_word": false,
763
+ "special": false
764
+ },
765
+ "95": {
766
+ "content": "<unused88>",
767
+ "lstrip": false,
768
+ "normalized": false,
769
+ "rstrip": false,
770
+ "single_word": false,
771
+ "special": false
772
+ },
773
+ "96": {
774
+ "content": "<unused89>",
775
+ "lstrip": false,
776
+ "normalized": false,
777
+ "rstrip": false,
778
+ "single_word": false,
779
+ "special": false
780
+ },
781
+ "97": {
782
+ "content": "<unused90>",
783
+ "lstrip": false,
784
+ "normalized": false,
785
+ "rstrip": false,
786
+ "single_word": false,
787
+ "special": false
788
+ },
789
+ "98": {
790
+ "content": "<unused91>",
791
+ "lstrip": false,
792
+ "normalized": false,
793
+ "rstrip": false,
794
+ "single_word": false,
795
+ "special": false
796
+ },
797
+ "99": {
798
+ "content": "<unused92>",
799
+ "lstrip": false,
800
+ "normalized": false,
801
+ "rstrip": false,
802
+ "single_word": false,
803
+ "special": false
804
+ },
805
+ "100": {
806
+ "content": "<unused93>",
807
+ "lstrip": false,
808
+ "normalized": false,
809
+ "rstrip": false,
810
+ "single_word": false,
811
+ "special": false
812
+ },
813
+ "101": {
814
+ "content": "<unused94>",
815
+ "lstrip": false,
816
+ "normalized": false,
817
+ "rstrip": false,
818
+ "single_word": false,
819
+ "special": false
820
+ },
821
+ "102": {
822
+ "content": "<unused95>",
823
+ "lstrip": false,
824
+ "normalized": false,
825
+ "rstrip": false,
826
+ "single_word": false,
827
+ "special": false
828
+ },
829
+ "103": {
830
+ "content": "<unused96>",
831
+ "lstrip": false,
832
+ "normalized": false,
833
+ "rstrip": false,
834
+ "single_word": false,
835
+ "special": false
836
+ },
837
+ "104": {
838
+ "content": "<unused97>",
839
+ "lstrip": false,
840
+ "normalized": false,
841
+ "rstrip": false,
842
+ "single_word": false,
843
+ "special": false
844
+ },
845
+ "105": {
846
+ "content": "<unused98>",
847
+ "lstrip": false,
848
+ "normalized": false,
849
+ "rstrip": false,
850
+ "single_word": false,
851
+ "special": false
852
+ },
853
+ "106": {
854
+ "content": "<start_of_turn>",
855
+ "lstrip": false,
856
+ "normalized": false,
857
+ "rstrip": false,
858
+ "single_word": false,
859
+ "special": true
860
+ },
861
+ "107": {
862
+ "content": "<end_of_turn>",
863
+ "lstrip": false,
864
+ "normalized": false,
865
+ "rstrip": false,
866
+ "single_word": false,
867
+ "special": true
868
+ },
869
+ "108": {
870
+ "content": "\n",
871
+ "lstrip": false,
872
+ "normalized": false,
873
+ "rstrip": false,
874
+ "single_word": false,
875
+ "special": false
876
+ },
877
+ "109": {
878
+ "content": "\n\n",
879
+ "lstrip": false,
880
+ "normalized": false,
881
+ "rstrip": false,
882
+ "single_word": false,
883
+ "special": false
884
+ },
885
+ "110": {
886
+ "content": "\n\n\n",
887
+ "lstrip": false,
888
+ "normalized": false,
889
+ "rstrip": false,
890
+ "single_word": false,
891
+ "special": false
892
+ },
893
+ "111": {
894
+ "content": "\n\n\n\n",
895
+ "lstrip": false,
896
+ "normalized": false,
897
+ "rstrip": false,
898
+ "single_word": false,
899
+ "special": false
900
+ },
901
+ "112": {
902
+ "content": "\n\n\n\n\n",
903
+ "lstrip": false,
904
+ "normalized": false,
905
+ "rstrip": false,
906
+ "single_word": false,
907
+ "special": false
908
+ },
909
+ "113": {
910
+ "content": "\n\n\n\n\n\n",
911
+ "lstrip": false,
912
+ "normalized": false,
913
+ "rstrip": false,
914
+ "single_word": false,
915
+ "special": false
916
+ },
917
+ "114": {
918
+ "content": "\n\n\n\n\n\n\n",
919
+ "lstrip": false,
920
+ "normalized": false,
921
+ "rstrip": false,
922
+ "single_word": false,
923
+ "special": false
924
+ },
925
+ "115": {
926
+ "content": "\n\n\n\n\n\n\n\n",
927
+ "lstrip": false,
928
+ "normalized": false,
929
+ "rstrip": false,
930
+ "single_word": false,
931
+ "special": false
932
+ },
933
+ "116": {
934
+ "content": "\n\n\n\n\n\n\n\n\n",
935
+ "lstrip": false,
936
+ "normalized": false,
937
+ "rstrip": false,
938
+ "single_word": false,
939
+ "special": false
940
+ },
941
+ "117": {
942
+ "content": "\n\n\n\n\n\n\n\n\n\n",
943
+ "lstrip": false,
944
+ "normalized": false,
945
+ "rstrip": false,
946
+ "single_word": false,
947
+ "special": false
948
+ },
949
+ "118": {
950
+ "content": "\n\n\n\n\n\n\n\n\n\n\n",
951
+ "lstrip": false,
952
+ "normalized": false,
953
+ "rstrip": false,
954
+ "single_word": false,
955
+ "special": false
956
+ },
957
+ "119": {
958
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n",
959
+ "lstrip": false,
960
+ "normalized": false,
961
+ "rstrip": false,
962
+ "single_word": false,
963
+ "special": false
964
+ },
965
+ "120": {
966
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n",
967
+ "lstrip": false,
968
+ "normalized": false,
969
+ "rstrip": false,
970
+ "single_word": false,
971
+ "special": false
972
+ },
973
+ "121": {
974
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
975
+ "lstrip": false,
976
+ "normalized": false,
977
+ "rstrip": false,
978
+ "single_word": false,
979
+ "special": false
980
+ },
981
+ "122": {
982
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
983
+ "lstrip": false,
984
+ "normalized": false,
985
+ "rstrip": false,
986
+ "single_word": false,
987
+ "special": false
988
+ },
989
+ "123": {
990
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
991
+ "lstrip": false,
992
+ "normalized": false,
993
+ "rstrip": false,
994
+ "single_word": false,
995
+ "special": false
996
+ },
997
+ "124": {
998
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
999
+ "lstrip": false,
1000
+ "normalized": false,
1001
+ "rstrip": false,
1002
+ "single_word": false,
1003
+ "special": false
1004
+ },
1005
+ "125": {
1006
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1007
+ "lstrip": false,
1008
+ "normalized": false,
1009
+ "rstrip": false,
1010
+ "single_word": false,
1011
+ "special": false
1012
+ },
1013
+ "126": {
1014
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1015
+ "lstrip": false,
1016
+ "normalized": false,
1017
+ "rstrip": false,
1018
+ "single_word": false,
1019
+ "special": false
1020
+ },
1021
+ "127": {
1022
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1023
+ "lstrip": false,
1024
+ "normalized": false,
1025
+ "rstrip": false,
1026
+ "single_word": false,
1027
+ "special": false
1028
+ },
1029
+ "128": {
1030
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1031
+ "lstrip": false,
1032
+ "normalized": false,
1033
+ "rstrip": false,
1034
+ "single_word": false,
1035
+ "special": false
1036
+ },
1037
+ "129": {
1038
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1039
+ "lstrip": false,
1040
+ "normalized": false,
1041
+ "rstrip": false,
1042
+ "single_word": false,
1043
+ "special": false
1044
+ },
1045
+ "130": {
1046
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1047
+ "lstrip": false,
1048
+ "normalized": false,
1049
+ "rstrip": false,
1050
+ "single_word": false,
1051
+ "special": false
1052
+ },
1053
+ "131": {
1054
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1055
+ "lstrip": false,
1056
+ "normalized": false,
1057
+ "rstrip": false,
1058
+ "single_word": false,
1059
+ "special": false
1060
+ },
1061
+ "132": {
1062
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1063
+ "lstrip": false,
1064
+ "normalized": false,
1065
+ "rstrip": false,
1066
+ "single_word": false,
1067
+ "special": false
1068
+ },
1069
+ "133": {
1070
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1071
+ "lstrip": false,
1072
+ "normalized": false,
1073
+ "rstrip": false,
1074
+ "single_word": false,
1075
+ "special": false
1076
+ },
1077
+ "134": {
1078
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1079
+ "lstrip": false,
1080
+ "normalized": false,
1081
+ "rstrip": false,
1082
+ "single_word": false,
1083
+ "special": false
1084
+ },
1085
+ "135": {
1086
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1087
+ "lstrip": false,
1088
+ "normalized": false,
1089
+ "rstrip": false,
1090
+ "single_word": false,
1091
+ "special": false
1092
+ },
1093
+ "136": {
1094
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1095
+ "lstrip": false,
1096
+ "normalized": false,
1097
+ "rstrip": false,
1098
+ "single_word": false,
1099
+ "special": false
1100
+ },
1101
+ "137": {
1102
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1103
+ "lstrip": false,
1104
+ "normalized": false,
1105
+ "rstrip": false,
1106
+ "single_word": false,
1107
+ "special": false
1108
+ },
1109
+ "138": {
1110
+ "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n",
1111
+ "lstrip": false,
1112
+ "normalized": false,
1113
+ "rstrip": false,
1114
+ "single_word": false,
1115
+ "special": false
1116
+ },
1117
+ "139": {
1118
+ "content": "▁▁",
1119
+ "lstrip": false,
1120
+ "normalized": false,
1121
+ "rstrip": false,
1122
+ "single_word": false,
1123
+ "special": false
1124
+ },
1125
+ "140": {
1126
+ "content": "▁▁▁",
1127
+ "lstrip": false,
1128
+ "normalized": false,
1129
+ "rstrip": false,
1130
+ "single_word": false,
1131
+ "special": false
1132
+ },
1133
+ "141": {
1134
+ "content": "▁▁▁▁",
1135
+ "lstrip": false,
1136
+ "normalized": false,
1137
+ "rstrip": false,
1138
+ "single_word": false,
1139
+ "special": false
1140
+ },
1141
+ "142": {
1142
+ "content": "▁▁▁▁▁",
1143
+ "lstrip": false,
1144
+ "normalized": false,
1145
+ "rstrip": false,
1146
+ "single_word": false,
1147
+ "special": false
1148
+ },
1149
+ "143": {
1150
+ "content": "▁▁▁▁▁▁",
1151
+ "lstrip": false,
1152
+ "normalized": false,
1153
+ "rstrip": false,
1154
+ "single_word": false,
1155
+ "special": false
1156
+ },
1157
+ "144": {
1158
+ "content": "▁▁▁▁▁▁▁",
1159
+ "lstrip": false,
1160
+ "normalized": false,
1161
+ "rstrip": false,
1162
+ "single_word": false,
1163
+ "special": false
1164
+ },
1165
+ "145": {
1166
+ "content": "▁▁▁▁▁▁▁▁",
1167
+ "lstrip": false,
1168
+ "normalized": false,
1169
+ "rstrip": false,
1170
+ "single_word": false,
1171
+ "special": false
1172
+ },
1173
+ "146": {
1174
+ "content": "▁▁▁▁▁▁▁▁▁",
1175
+ "lstrip": false,
1176
+ "normalized": false,
1177
+ "rstrip": false,
1178
+ "single_word": false,
1179
+ "special": false
1180
+ },
1181
+ "147": {
1182
+ "content": "▁▁▁▁▁▁▁▁▁▁",
1183
+ "lstrip": false,
1184
+ "normalized": false,
1185
+ "rstrip": false,
1186
+ "single_word": false,
1187
+ "special": false
1188
+ },
1189
+ "148": {
1190
+ "content": "▁▁▁▁▁▁▁▁▁▁▁",
1191
+ "lstrip": false,
1192
+ "normalized": false,
1193
+ "rstrip": false,
1194
+ "single_word": false,
1195
+ "special": false
1196
+ },
1197
+ "149": {
1198
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁",
1199
+ "lstrip": false,
1200
+ "normalized": false,
1201
+ "rstrip": false,
1202
+ "single_word": false,
1203
+ "special": false
1204
+ },
1205
+ "150": {
1206
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁",
1207
+ "lstrip": false,
1208
+ "normalized": false,
1209
+ "rstrip": false,
1210
+ "single_word": false,
1211
+ "special": false
1212
+ },
1213
+ "151": {
1214
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1215
+ "lstrip": false,
1216
+ "normalized": false,
1217
+ "rstrip": false,
1218
+ "single_word": false,
1219
+ "special": false
1220
+ },
1221
+ "152": {
1222
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1223
+ "lstrip": false,
1224
+ "normalized": false,
1225
+ "rstrip": false,
1226
+ "single_word": false,
1227
+ "special": false
1228
+ },
1229
+ "153": {
1230
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1231
+ "lstrip": false,
1232
+ "normalized": false,
1233
+ "rstrip": false,
1234
+ "single_word": false,
1235
+ "special": false
1236
+ },
1237
+ "154": {
1238
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1239
+ "lstrip": false,
1240
+ "normalized": false,
1241
+ "rstrip": false,
1242
+ "single_word": false,
1243
+ "special": false
1244
+ },
1245
+ "155": {
1246
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1247
+ "lstrip": false,
1248
+ "normalized": false,
1249
+ "rstrip": false,
1250
+ "single_word": false,
1251
+ "special": false
1252
+ },
1253
+ "156": {
1254
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1255
+ "lstrip": false,
1256
+ "normalized": false,
1257
+ "rstrip": false,
1258
+ "single_word": false,
1259
+ "special": false
1260
+ },
1261
+ "157": {
1262
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1263
+ "lstrip": false,
1264
+ "normalized": false,
1265
+ "rstrip": false,
1266
+ "single_word": false,
1267
+ "special": false
1268
+ },
1269
+ "158": {
1270
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1271
+ "lstrip": false,
1272
+ "normalized": false,
1273
+ "rstrip": false,
1274
+ "single_word": false,
1275
+ "special": false
1276
+ },
1277
+ "159": {
1278
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1279
+ "lstrip": false,
1280
+ "normalized": false,
1281
+ "rstrip": false,
1282
+ "single_word": false,
1283
+ "special": false
1284
+ },
1285
+ "160": {
1286
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1287
+ "lstrip": false,
1288
+ "normalized": false,
1289
+ "rstrip": false,
1290
+ "single_word": false,
1291
+ "special": false
1292
+ },
1293
+ "161": {
1294
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1295
+ "lstrip": false,
1296
+ "normalized": false,
1297
+ "rstrip": false,
1298
+ "single_word": false,
1299
+ "special": false
1300
+ },
1301
+ "162": {
1302
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1303
+ "lstrip": false,
1304
+ "normalized": false,
1305
+ "rstrip": false,
1306
+ "single_word": false,
1307
+ "special": false
1308
+ },
1309
+ "163": {
1310
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1311
+ "lstrip": false,
1312
+ "normalized": false,
1313
+ "rstrip": false,
1314
+ "single_word": false,
1315
+ "special": false
1316
+ },
1317
+ "164": {
1318
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1319
+ "lstrip": false,
1320
+ "normalized": false,
1321
+ "rstrip": false,
1322
+ "single_word": false,
1323
+ "special": false
1324
+ },
1325
+ "165": {
1326
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1327
+ "lstrip": false,
1328
+ "normalized": false,
1329
+ "rstrip": false,
1330
+ "single_word": false,
1331
+ "special": false
1332
+ },
1333
+ "166": {
1334
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1335
+ "lstrip": false,
1336
+ "normalized": false,
1337
+ "rstrip": false,
1338
+ "single_word": false,
1339
+ "special": false
1340
+ },
1341
+ "167": {
1342
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1343
+ "lstrip": false,
1344
+ "normalized": false,
1345
+ "rstrip": false,
1346
+ "single_word": false,
1347
+ "special": false
1348
+ },
1349
+ "168": {
1350
+ "content": "▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁▁",
1351
+ "lstrip": false,
1352
+ "normalized": false,
1353
+ "rstrip": false,
1354
+ "single_word": false,
1355
+ "special": false
1356
+ },
1357
+ "169": {
1358
+ "content": "<table>",
1359
+ "lstrip": false,
1360
+ "normalized": false,
1361
+ "rstrip": false,
1362
+ "single_word": false,
1363
+ "special": false
1364
+ },
1365
+ "170": {
1366
+ "content": "<caption>",
1367
+ "lstrip": false,
1368
+ "normalized": false,
1369
+ "rstrip": false,
1370
+ "single_word": false,
1371
+ "special": false
1372
+ },
1373
+ "171": {
1374
+ "content": "<thead>",
1375
+ "lstrip": false,
1376
+ "normalized": false,
1377
+ "rstrip": false,
1378
+ "single_word": false,
1379
+ "special": false
1380
+ },
1381
+ "172": {
1382
+ "content": "<tbody>",
1383
+ "lstrip": false,
1384
+ "normalized": false,
1385
+ "rstrip": false,
1386
+ "single_word": false,
1387
+ "special": false
1388
+ },
1389
+ "173": {
1390
+ "content": "<tfoot>",
1391
+ "lstrip": false,
1392
+ "normalized": false,
1393
+ "rstrip": false,
1394
+ "single_word": false,
1395
+ "special": false
1396
+ },
1397
+ "174": {
1398
+ "content": "<tr>",
1399
+ "lstrip": false,
1400
+ "normalized": false,
1401
+ "rstrip": false,
1402
+ "single_word": false,
1403
+ "special": false
1404
+ },
1405
+ "175": {
1406
+ "content": "<th>",
1407
+ "lstrip": false,
1408
+ "normalized": false,
1409
+ "rstrip": false,
1410
+ "single_word": false,
1411
+ "special": false
1412
+ },
1413
+ "176": {
1414
+ "content": "<td>",
1415
+ "lstrip": false,
1416
+ "normalized": false,
1417
+ "rstrip": false,
1418
+ "single_word": false,
1419
+ "special": false
1420
+ },
1421
+ "177": {
1422
+ "content": "</table>",
1423
+ "lstrip": false,
1424
+ "normalized": false,
1425
+ "rstrip": false,
1426
+ "single_word": false,
1427
+ "special": false
1428
+ },
1429
+ "178": {
1430
+ "content": "</caption>",
1431
+ "lstrip": false,
1432
+ "normalized": false,
1433
+ "rstrip": false,
1434
+ "single_word": false,
1435
+ "special": false
1436
+ },
1437
+ "179": {
1438
+ "content": "</thead>",
1439
+ "lstrip": false,
1440
+ "normalized": false,
1441
+ "rstrip": false,
1442
+ "single_word": false,
1443
+ "special": false
1444
+ },
1445
+ "180": {
1446
+ "content": "</tbody>",
1447
+ "lstrip": false,
1448
+ "normalized": false,
1449
+ "rstrip": false,
1450
+ "single_word": false,
1451
+ "special": false
1452
+ },
1453
+ "181": {
1454
+ "content": "</tfoot>",
1455
+ "lstrip": false,
1456
+ "normalized": false,
1457
+ "rstrip": false,
1458
+ "single_word": false,
1459
+ "special": false
1460
+ },
1461
+ "182": {
1462
+ "content": "</tr>",
1463
+ "lstrip": false,
1464
+ "normalized": false,
1465
+ "rstrip": false,
1466
+ "single_word": false,
1467
+ "special": false
1468
+ },
1469
+ "183": {
1470
+ "content": "</th>",
1471
+ "lstrip": false,
1472
+ "normalized": false,
1473
+ "rstrip": false,
1474
+ "single_word": false,
1475
+ "special": false
1476
+ },
1477
+ "184": {
1478
+ "content": "</td>",
1479
+ "lstrip": false,
1480
+ "normalized": false,
1481
+ "rstrip": false,
1482
+ "single_word": false,
1483
+ "special": false
1484
+ },
1485
+ "185": {
1486
+ "content": "<h1>",
1487
+ "lstrip": false,
1488
+ "normalized": false,
1489
+ "rstrip": false,
1490
+ "single_word": false,
1491
+ "special": false
1492
+ },
1493
+ "186": {
1494
+ "content": "<h2>",
1495
+ "lstrip": false,
1496
+ "normalized": false,
1497
+ "rstrip": false,
1498
+ "single_word": false,
1499
+ "special": false
1500
+ },
1501
+ "187": {
1502
+ "content": "<h3>",
1503
+ "lstrip": false,
1504
+ "normalized": false,
1505
+ "rstrip": false,
1506
+ "single_word": false,
1507
+ "special": false
1508
+ },
1509
+ "188": {
1510
+ "content": "<h4>",
1511
+ "lstrip": false,
1512
+ "normalized": false,
1513
+ "rstrip": false,
1514
+ "single_word": false,
1515
+ "special": false
1516
+ },
1517
+ "189": {
1518
+ "content": "<h5>",
1519
+ "lstrip": false,
1520
+ "normalized": false,
1521
+ "rstrip": false,
1522
+ "single_word": false,
1523
+ "special": false
1524
+ },
1525
+ "190": {
1526
+ "content": "<h6>",
1527
+ "lstrip": false,
1528
+ "normalized": false,
1529
+ "rstrip": false,
1530
+ "single_word": false,
1531
+ "special": false
1532
+ },
1533
+ "191": {
1534
+ "content": "<blockquote>",
1535
+ "lstrip": false,
1536
+ "normalized": false,
1537
+ "rstrip": false,
1538
+ "single_word": false,
1539
+ "special": false
1540
+ },
1541
+ "192": {
1542
+ "content": "</h1>",
1543
+ "lstrip": false,
1544
+ "normalized": false,
1545
+ "rstrip": false,
1546
+ "single_word": false,
1547
+ "special": false
1548
+ },
1549
+ "193": {
1550
+ "content": "</h2>",
1551
+ "lstrip": false,
1552
+ "normalized": false,
1553
+ "rstrip": false,
1554
+ "single_word": false,
1555
+ "special": false
1556
+ },
1557
+ "194": {
1558
+ "content": "</h3>",
1559
+ "lstrip": false,
1560
+ "normalized": false,
1561
+ "rstrip": false,
1562
+ "single_word": false,
1563
+ "special": false
1564
+ },
1565
+ "195": {
1566
+ "content": "</h4>",
1567
+ "lstrip": false,
1568
+ "normalized": false,
1569
+ "rstrip": false,
1570
+ "single_word": false,
1571
+ "special": false
1572
+ },
1573
+ "196": {
1574
+ "content": "</h5>",
1575
+ "lstrip": false,
1576
+ "normalized": false,
1577
+ "rstrip": false,
1578
+ "single_word": false,
1579
+ "special": false
1580
+ },
1581
+ "197": {
1582
+ "content": "</h6>",
1583
+ "lstrip": false,
1584
+ "normalized": false,
1585
+ "rstrip": false,
1586
+ "single_word": false,
1587
+ "special": false
1588
+ },
1589
+ "198": {
1590
+ "content": "</blockquote>",
1591
+ "lstrip": false,
1592
+ "normalized": false,
1593
+ "rstrip": false,
1594
+ "single_word": false,
1595
+ "special": false
1596
+ },
1597
+ "199": {
1598
+ "content": "<strong>",
1599
+ "lstrip": false,
1600
+ "normalized": false,
1601
+ "rstrip": false,
1602
+ "single_word": false,
1603
+ "special": false
1604
+ },
1605
+ "200": {
1606
+ "content": "<em>",
1607
+ "lstrip": false,
1608
+ "normalized": false,
1609
+ "rstrip": false,
1610
+ "single_word": false,
1611
+ "special": false
1612
+ },
1613
+ "201": {
1614
+ "content": "<b>",
1615
+ "lstrip": false,
1616
+ "normalized": false,
1617
+ "rstrip": false,
1618
+ "single_word": false,
1619
+ "special": false
1620
+ },
1621
+ "202": {
1622
+ "content": "<i>",
1623
+ "lstrip": false,
1624
+ "normalized": false,
1625
+ "rstrip": false,
1626
+ "single_word": false,
1627
+ "special": false
1628
+ },
1629
+ "203": {
1630
+ "content": "<u>",
1631
+ "lstrip": false,
1632
+ "normalized": false,
1633
+ "rstrip": false,
1634
+ "single_word": false,
1635
+ "special": false
1636
+ },
1637
+ "204": {
1638
+ "content": "<s>",
1639
+ "lstrip": false,
1640
+ "normalized": false,
1641
+ "rstrip": false,
1642
+ "single_word": false,
1643
+ "special": false
1644
+ },
1645
+ "205": {
1646
+ "content": "<sub>",
1647
+ "lstrip": false,
1648
+ "normalized": false,
1649
+ "rstrip": false,
1650
+ "single_word": false,
1651
+ "special": false
1652
+ },
1653
+ "206": {
1654
+ "content": "<sup>",
1655
+ "lstrip": false,
1656
+ "normalized": false,
1657
+ "rstrip": false,
1658
+ "single_word": false,
1659
+ "special": false
1660
+ },
1661
+ "207": {
1662
+ "content": "<code>",
1663
+ "lstrip": false,
1664
+ "normalized": false,
1665
+ "rstrip": false,
1666
+ "single_word": false,
1667
+ "special": false
1668
+ },
1669
+ "208": {
1670
+ "content": "</strong>",
1671
+ "lstrip": false,
1672
+ "normalized": false,
1673
+ "rstrip": false,
1674
+ "single_word": false,
1675
+ "special": false
1676
+ },
1677
+ "209": {
1678
+ "content": "</em>",
1679
+ "lstrip": false,
1680
+ "normalized": false,
1681
+ "rstrip": false,
1682
+ "single_word": false,
1683
+ "special": false
1684
+ },
1685
+ "210": {
1686
+ "content": "</b>",
1687
+ "lstrip": false,
1688
+ "normalized": false,
1689
+ "rstrip": false,
1690
+ "single_word": false,
1691
+ "special": false
1692
+ },
1693
+ "211": {
1694
+ "content": "</i>",
1695
+ "lstrip": false,
1696
+ "normalized": false,
1697
+ "rstrip": false,
1698
+ "single_word": false,
1699
+ "special": false
1700
+ },
1701
+ "212": {
1702
+ "content": "</u>",
1703
+ "lstrip": false,
1704
+ "normalized": false,
1705
+ "rstrip": false,
1706
+ "single_word": false,
1707
+ "special": false
1708
+ },
1709
+ "213": {
1710
+ "content": "</s>",
1711
+ "lstrip": false,
1712
+ "normalized": false,
1713
+ "rstrip": false,
1714
+ "single_word": false,
1715
+ "special": false
1716
+ },
1717
+ "214": {
1718
+ "content": "</sub>",
1719
+ "lstrip": false,
1720
+ "normalized": false,
1721
+ "rstrip": false,
1722
+ "single_word": false,
1723
+ "special": false
1724
+ },
1725
+ "215": {
1726
+ "content": "</sup>",
1727
+ "lstrip": false,
1728
+ "normalized": false,
1729
+ "rstrip": false,
1730
+ "single_word": false,
1731
+ "special": false
1732
+ },
1733
+ "216": {
1734
+ "content": "</code>",
1735
+ "lstrip": false,
1736
+ "normalized": false,
1737
+ "rstrip": false,
1738
+ "single_word": false,
1739
+ "special": false
1740
+ },
1741
+ "255968": {
1742
+ "content": "[toxicity=0]",
1743
+ "lstrip": false,
1744
+ "normalized": false,
1745
+ "rstrip": false,
1746
+ "single_word": false,
1747
+ "special": false
1748
+ },
1749
+ "255969": {
1750
+ "content": "\t\t",
1751
+ "lstrip": false,
1752
+ "normalized": false,
1753
+ "rstrip": false,
1754
+ "single_word": false,
1755
+ "special": false
1756
+ },
1757
+ "255970": {
1758
+ "content": "\t\t\t",
1759
+ "lstrip": false,
1760
+ "normalized": false,
1761
+ "rstrip": false,
1762
+ "single_word": false,
1763
+ "special": false
1764
+ },
1765
+ "255971": {
1766
+ "content": "\t\t\t\t",
1767
+ "lstrip": false,
1768
+ "normalized": false,
1769
+ "rstrip": false,
1770
+ "single_word": false,
1771
+ "special": false
1772
+ },
1773
+ "255972": {
1774
+ "content": "\t\t\t\t\t",
1775
+ "lstrip": false,
1776
+ "normalized": false,
1777
+ "rstrip": false,
1778
+ "single_word": false,
1779
+ "special": false
1780
+ },
1781
+ "255973": {
1782
+ "content": "\t\t\t\t\t\t",
1783
+ "lstrip": false,
1784
+ "normalized": false,
1785
+ "rstrip": false,
1786
+ "single_word": false,
1787
+ "special": false
1788
+ },
1789
+ "255974": {
1790
+ "content": "\t\t\t\t\t\t\t",
1791
+ "lstrip": false,
1792
+ "normalized": false,
1793
+ "rstrip": false,
1794
+ "single_word": false,
1795
+ "special": false
1796
+ },
1797
+ "255975": {
1798
+ "content": "\t\t\t\t\t\t\t\t",
1799
+ "lstrip": false,
1800
+ "normalized": false,
1801
+ "rstrip": false,
1802
+ "single_word": false,
1803
+ "special": false
1804
+ },
1805
+ "255976": {
1806
+ "content": "\t\t\t\t\t\t\t\t\t",
1807
+ "lstrip": false,
1808
+ "normalized": false,
1809
+ "rstrip": false,
1810
+ "single_word": false,
1811
+ "special": false
1812
+ },
1813
+ "255977": {
1814
+ "content": "\t\t\t\t\t\t\t\t\t\t",
1815
+ "lstrip": false,
1816
+ "normalized": false,
1817
+ "rstrip": false,
1818
+ "single_word": false,
1819
+ "special": false
1820
+ },
1821
+ "255978": {
1822
+ "content": "\t\t\t\t\t\t\t\t\t\t\t",
1823
+ "lstrip": false,
1824
+ "normalized": false,
1825
+ "rstrip": false,
1826
+ "single_word": false,
1827
+ "special": false
1828
+ },
1829
+ "255979": {
1830
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t",
1831
+ "lstrip": false,
1832
+ "normalized": false,
1833
+ "rstrip": false,
1834
+ "single_word": false,
1835
+ "special": false
1836
+ },
1837
+ "255980": {
1838
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t",
1839
+ "lstrip": false,
1840
+ "normalized": false,
1841
+ "rstrip": false,
1842
+ "single_word": false,
1843
+ "special": false
1844
+ },
1845
+ "255981": {
1846
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1847
+ "lstrip": false,
1848
+ "normalized": false,
1849
+ "rstrip": false,
1850
+ "single_word": false,
1851
+ "special": false
1852
+ },
1853
+ "255982": {
1854
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1855
+ "lstrip": false,
1856
+ "normalized": false,
1857
+ "rstrip": false,
1858
+ "single_word": false,
1859
+ "special": false
1860
+ },
1861
+ "255983": {
1862
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1863
+ "lstrip": false,
1864
+ "normalized": false,
1865
+ "rstrip": false,
1866
+ "single_word": false,
1867
+ "special": false
1868
+ },
1869
+ "255984": {
1870
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1871
+ "lstrip": false,
1872
+ "normalized": false,
1873
+ "rstrip": false,
1874
+ "single_word": false,
1875
+ "special": false
1876
+ },
1877
+ "255985": {
1878
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1879
+ "lstrip": false,
1880
+ "normalized": false,
1881
+ "rstrip": false,
1882
+ "single_word": false,
1883
+ "special": false
1884
+ },
1885
+ "255986": {
1886
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1887
+ "lstrip": false,
1888
+ "normalized": false,
1889
+ "rstrip": false,
1890
+ "single_word": false,
1891
+ "special": false
1892
+ },
1893
+ "255987": {
1894
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1895
+ "lstrip": false,
1896
+ "normalized": false,
1897
+ "rstrip": false,
1898
+ "single_word": false,
1899
+ "special": false
1900
+ },
1901
+ "255988": {
1902
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1903
+ "lstrip": false,
1904
+ "normalized": false,
1905
+ "rstrip": false,
1906
+ "single_word": false,
1907
+ "special": false
1908
+ },
1909
+ "255989": {
1910
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1911
+ "lstrip": false,
1912
+ "normalized": false,
1913
+ "rstrip": false,
1914
+ "single_word": false,
1915
+ "special": false
1916
+ },
1917
+ "255990": {
1918
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1919
+ "lstrip": false,
1920
+ "normalized": false,
1921
+ "rstrip": false,
1922
+ "single_word": false,
1923
+ "special": false
1924
+ },
1925
+ "255991": {
1926
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1927
+ "lstrip": false,
1928
+ "normalized": false,
1929
+ "rstrip": false,
1930
+ "single_word": false,
1931
+ "special": false
1932
+ },
1933
+ "255992": {
1934
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1935
+ "lstrip": false,
1936
+ "normalized": false,
1937
+ "rstrip": false,
1938
+ "single_word": false,
1939
+ "special": false
1940
+ },
1941
+ "255993": {
1942
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1943
+ "lstrip": false,
1944
+ "normalized": false,
1945
+ "rstrip": false,
1946
+ "single_word": false,
1947
+ "special": false
1948
+ },
1949
+ "255994": {
1950
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1951
+ "lstrip": false,
1952
+ "normalized": false,
1953
+ "rstrip": false,
1954
+ "single_word": false,
1955
+ "special": false
1956
+ },
1957
+ "255995": {
1958
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1959
+ "lstrip": false,
1960
+ "normalized": false,
1961
+ "rstrip": false,
1962
+ "single_word": false,
1963
+ "special": false
1964
+ },
1965
+ "255996": {
1966
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1967
+ "lstrip": false,
1968
+ "normalized": false,
1969
+ "rstrip": false,
1970
+ "single_word": false,
1971
+ "special": false
1972
+ },
1973
+ "255997": {
1974
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1975
+ "lstrip": false,
1976
+ "normalized": false,
1977
+ "rstrip": false,
1978
+ "single_word": false,
1979
+ "special": false
1980
+ },
1981
+ "255998": {
1982
+ "content": "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t",
1983
+ "lstrip": false,
1984
+ "normalized": false,
1985
+ "rstrip": false,
1986
+ "single_word": false,
1987
+ "special": false
1988
+ },
1989
+ "255999": {
1990
+ "content": "<unused99>",
1991
+ "lstrip": false,
1992
+ "normalized": false,
1993
+ "rstrip": false,
1994
+ "single_word": false,
1995
+ "special": false
1996
+ }
1997
+ },
1998
+ "additional_special_tokens": [
1999
+ "<start_of_turn>",
2000
+ "<end_of_turn>"
2001
+ ],
2002
+ "bos_token": "<bos>",
2003
+ "chat_template": "{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + '\n' + message['content'] | trim + '<end_of_turn>\n' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model\n'}}{% endif %}",
2004
+ "clean_up_tokenization_spaces": false,
2005
+ "eos_token": "<eos>",
2006
+ "model_max_length": 1000000000000000019884624838656,
2007
+ "pad_token": "<pad>",
2008
+ "sp_model_kwargs": {},
2009
+ "spaces_between_special_tokens": false,
2010
+ "tokenizer_class": "GemmaTokenizer",
2011
+ "unk_token": "<unk>",
2012
+ "use_default_system_prompt": false
2013
+ }
trainer_state.json ADDED
@@ -0,0 +1,2433 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.5052631578947369,
5
+ "eval_steps": 10000,
6
+ "global_step": 300,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.003368421052631579,
13
+ "grad_norm": 1021.0826362249041,
14
+ "learning_rate": 8e-09,
15
+ "logits/chosen": -6.098826885223389,
16
+ "logits/rejected": -8.285457611083984,
17
+ "logps/chosen": -1105.89208984375,
18
+ "logps/rejected": -1840.68798828125,
19
+ "loss": 0.6675,
20
+ "nll_loss": 4.724418640136719,
21
+ "rewards/accuracies": 0.5,
22
+ "rewards/chosen": 0.03404197469353676,
23
+ "rewards/margins": 0.10088615119457245,
24
+ "rewards/rejected": -0.06684418022632599,
25
+ "step": 2
26
+ },
27
+ {
28
+ "epoch": 0.006736842105263158,
29
+ "grad_norm": 775.2893008419502,
30
+ "learning_rate": 1.6e-08,
31
+ "logits/chosen": -6.404820919036865,
32
+ "logits/rejected": -8.010771751403809,
33
+ "logps/chosen": -1317.140625,
34
+ "logps/rejected": -1826.8807373046875,
35
+ "loss": 0.7069,
36
+ "nll_loss": 4.841824054718018,
37
+ "rewards/accuracies": 0.625,
38
+ "rewards/chosen": 0.024968720972537994,
39
+ "rewards/margins": 0.0651191771030426,
40
+ "rewards/rejected": -0.04015045240521431,
41
+ "step": 4
42
+ },
43
+ {
44
+ "epoch": 0.010105263157894737,
45
+ "grad_norm": 1152.6434834761353,
46
+ "learning_rate": 2.3999999999999997e-08,
47
+ "logits/chosen": -7.275630950927734,
48
+ "logits/rejected": -7.599463939666748,
49
+ "logps/chosen": -1705.133544921875,
50
+ "logps/rejected": -1831.8782958984375,
51
+ "loss": 0.7266,
52
+ "nll_loss": 4.776337623596191,
53
+ "rewards/accuracies": 0.5,
54
+ "rewards/chosen": 0.00952148623764515,
55
+ "rewards/margins": -0.00301208533346653,
56
+ "rewards/rejected": 0.01253356970846653,
57
+ "step": 6
58
+ },
59
+ {
60
+ "epoch": 0.013473684210526317,
61
+ "grad_norm": 1340.686158278663,
62
+ "learning_rate": 3.2e-08,
63
+ "logits/chosen": -7.0847063064575195,
64
+ "logits/rejected": -7.663762092590332,
65
+ "logps/chosen": -1612.9189453125,
66
+ "logps/rejected": -1863.4921875,
67
+ "loss": 0.6938,
68
+ "nll_loss": 4.129978656768799,
69
+ "rewards/accuracies": 0.375,
70
+ "rewards/chosen": 0.05372562259435654,
71
+ "rewards/margins": -0.047937583178281784,
72
+ "rewards/rejected": 0.10166320949792862,
73
+ "step": 8
74
+ },
75
+ {
76
+ "epoch": 0.016842105263157894,
77
+ "grad_norm": 830.1962870309648,
78
+ "learning_rate": 4e-08,
79
+ "logits/chosen": -7.328038692474365,
80
+ "logits/rejected": -7.968114852905273,
81
+ "logps/chosen": -1624.5255126953125,
82
+ "logps/rejected": -1856.871826171875,
83
+ "loss": 0.7296,
84
+ "nll_loss": 4.658226490020752,
85
+ "rewards/accuracies": 0.375,
86
+ "rewards/chosen": 0.03902282938361168,
87
+ "rewards/margins": -0.01064453274011612,
88
+ "rewards/rejected": 0.0496673583984375,
89
+ "step": 10
90
+ },
91
+ {
92
+ "epoch": 0.020210526315789474,
93
+ "grad_norm": 663.540527209906,
94
+ "learning_rate": 4.799999999999999e-08,
95
+ "logits/chosen": -7.396481513977051,
96
+ "logits/rejected": -7.322075843811035,
97
+ "logps/chosen": -1599.8494873046875,
98
+ "logps/rejected": -1831.381103515625,
99
+ "loss": 0.6782,
100
+ "nll_loss": 4.17366361618042,
101
+ "rewards/accuracies": 0.5,
102
+ "rewards/chosen": -0.10295410454273224,
103
+ "rewards/margins": 0.06537018716335297,
104
+ "rewards/rejected": -0.168324276804924,
105
+ "step": 12
106
+ },
107
+ {
108
+ "epoch": 0.023578947368421053,
109
+ "grad_norm": 1099.037021669425,
110
+ "learning_rate": 5.6000000000000005e-08,
111
+ "logits/chosen": -7.1363630294799805,
112
+ "logits/rejected": -7.741977691650391,
113
+ "logps/chosen": -1470.75537109375,
114
+ "logps/rejected": -1858.2095947265625,
115
+ "loss": 0.6512,
116
+ "nll_loss": 4.299507141113281,
117
+ "rewards/accuracies": 0.625,
118
+ "rewards/chosen": -0.2573639154434204,
119
+ "rewards/margins": 0.10828553140163422,
120
+ "rewards/rejected": -0.36564940214157104,
121
+ "step": 14
122
+ },
123
+ {
124
+ "epoch": 0.026947368421052633,
125
+ "grad_norm": 566.7332650815549,
126
+ "learning_rate": 6.4e-08,
127
+ "logits/chosen": -6.818307876586914,
128
+ "logits/rejected": -7.9370036125183105,
129
+ "logps/chosen": -1442.171875,
130
+ "logps/rejected": -1850.56298828125,
131
+ "loss": 0.6185,
132
+ "nll_loss": 4.646788597106934,
133
+ "rewards/accuracies": 0.875,
134
+ "rewards/chosen": -0.3849685788154602,
135
+ "rewards/margins": 0.29212191700935364,
136
+ "rewards/rejected": -0.6770904660224915,
137
+ "step": 16
138
+ },
139
+ {
140
+ "epoch": 0.03031578947368421,
141
+ "grad_norm": 743.3397608092816,
142
+ "learning_rate": 7.2e-08,
143
+ "logits/chosen": -7.3267436027526855,
144
+ "logits/rejected": -7.727769374847412,
145
+ "logps/chosen": -1639.974853515625,
146
+ "logps/rejected": -1839.6697998046875,
147
+ "loss": 0.5848,
148
+ "nll_loss": 4.681390285491943,
149
+ "rewards/accuracies": 0.5,
150
+ "rewards/chosen": -0.806835949420929,
151
+ "rewards/margins": 0.1156768724322319,
152
+ "rewards/rejected": -0.9225128889083862,
153
+ "step": 18
154
+ },
155
+ {
156
+ "epoch": 0.03368421052631579,
157
+ "grad_norm": 555.7381352759589,
158
+ "learning_rate": 8e-08,
159
+ "logits/chosen": -6.984310150146484,
160
+ "logits/rejected": -7.973010540008545,
161
+ "logps/chosen": -1658.0970458984375,
162
+ "logps/rejected": -1865.5997314453125,
163
+ "loss": 0.5718,
164
+ "nll_loss": 4.629044532775879,
165
+ "rewards/accuracies": 0.625,
166
+ "rewards/chosen": -1.5665146112442017,
167
+ "rewards/margins": 0.23055119812488556,
168
+ "rewards/rejected": -1.7970658540725708,
169
+ "step": 20
170
+ },
171
+ {
172
+ "epoch": 0.03705263157894737,
173
+ "grad_norm": 537.2764069824767,
174
+ "learning_rate": 8.8e-08,
175
+ "logits/chosen": -7.248239040374756,
176
+ "logits/rejected": -7.833005428314209,
177
+ "logps/chosen": -1698.72998046875,
178
+ "logps/rejected": -1851.3116455078125,
179
+ "loss": 0.5141,
180
+ "nll_loss": 4.778887748718262,
181
+ "rewards/accuracies": 0.75,
182
+ "rewards/chosen": -2.040907382965088,
183
+ "rewards/margins": 0.4460693299770355,
184
+ "rewards/rejected": -2.4869766235351562,
185
+ "step": 22
186
+ },
187
+ {
188
+ "epoch": 0.04042105263157895,
189
+ "grad_norm": 427.6716943228766,
190
+ "learning_rate": 9.599999999999999e-08,
191
+ "logits/chosen": -6.897974967956543,
192
+ "logits/rejected": -8.095926284790039,
193
+ "logps/chosen": -1618.291748046875,
194
+ "logps/rejected": -1899.2071533203125,
195
+ "loss": 0.5628,
196
+ "nll_loss": 4.640469074249268,
197
+ "rewards/accuracies": 0.625,
198
+ "rewards/chosen": -2.707034111022949,
199
+ "rewards/margins": 0.4983123540878296,
200
+ "rewards/rejected": -3.2053468227386475,
201
+ "step": 24
202
+ },
203
+ {
204
+ "epoch": 0.043789473684210524,
205
+ "grad_norm": 502.48124965017354,
206
+ "learning_rate": 1.04e-07,
207
+ "logits/chosen": -6.930876731872559,
208
+ "logits/rejected": -7.992618083953857,
209
+ "logps/chosen": -1484.425048828125,
210
+ "logps/rejected": -1923.680908203125,
211
+ "loss": 0.5462,
212
+ "nll_loss": 4.688654899597168,
213
+ "rewards/accuracies": 0.625,
214
+ "rewards/chosen": -4.368743419647217,
215
+ "rewards/margins": 1.1556202173233032,
216
+ "rewards/rejected": -5.524363994598389,
217
+ "step": 26
218
+ },
219
+ {
220
+ "epoch": 0.04715789473684211,
221
+ "grad_norm": 383.7692991889789,
222
+ "learning_rate": 1.1200000000000001e-07,
223
+ "logits/chosen": -7.199338912963867,
224
+ "logits/rejected": -7.51033353805542,
225
+ "logps/chosen": -1769.854248046875,
226
+ "logps/rejected": -1886.64501953125,
227
+ "loss": 0.4697,
228
+ "nll_loss": 4.6844096183776855,
229
+ "rewards/accuracies": 0.75,
230
+ "rewards/chosen": -6.4538960456848145,
231
+ "rewards/margins": 0.6539719104766846,
232
+ "rewards/rejected": -7.107868194580078,
233
+ "step": 28
234
+ },
235
+ {
236
+ "epoch": 0.05052631578947368,
237
+ "grad_norm": 481.75715160752935,
238
+ "learning_rate": 1.2e-07,
239
+ "logits/chosen": -6.897581577301025,
240
+ "logits/rejected": -7.895030498504639,
241
+ "logps/chosen": -1615.928466796875,
242
+ "logps/rejected": -1956.94287109375,
243
+ "loss": 0.4974,
244
+ "nll_loss": 4.612817764282227,
245
+ "rewards/accuracies": 0.625,
246
+ "rewards/chosen": -6.480710029602051,
247
+ "rewards/margins": 1.3521087169647217,
248
+ "rewards/rejected": -7.832818984985352,
249
+ "step": 30
250
+ },
251
+ {
252
+ "epoch": 0.053894736842105266,
253
+ "grad_norm": 433.1144839993232,
254
+ "learning_rate": 1.28e-07,
255
+ "logits/chosen": -7.140986442565918,
256
+ "logits/rejected": -7.891180515289307,
257
+ "logps/chosen": -1722.1290283203125,
258
+ "logps/rejected": -1961.19140625,
259
+ "loss": 0.3723,
260
+ "nll_loss": 4.612584590911865,
261
+ "rewards/accuracies": 0.75,
262
+ "rewards/chosen": -7.3035502433776855,
263
+ "rewards/margins": 1.1011128425598145,
264
+ "rewards/rejected": -8.4046630859375,
265
+ "step": 32
266
+ },
267
+ {
268
+ "epoch": 0.05726315789473684,
269
+ "grad_norm": 460.5421567294356,
270
+ "learning_rate": 1.36e-07,
271
+ "logits/chosen": -5.8924641609191895,
272
+ "logits/rejected": -7.968005657196045,
273
+ "logps/chosen": -1063.8079833984375,
274
+ "logps/rejected": -1961.5302734375,
275
+ "loss": 0.3717,
276
+ "nll_loss": 4.887433052062988,
277
+ "rewards/accuracies": 0.875,
278
+ "rewards/chosen": -4.523468017578125,
279
+ "rewards/margins": 4.804460525512695,
280
+ "rewards/rejected": -9.327927589416504,
281
+ "step": 34
282
+ },
283
+ {
284
+ "epoch": 0.06063157894736842,
285
+ "grad_norm": 382.3217926367787,
286
+ "learning_rate": 1.44e-07,
287
+ "logits/chosen": -7.277335166931152,
288
+ "logits/rejected": -8.038162231445312,
289
+ "logps/chosen": -1612.2705078125,
290
+ "logps/rejected": -1970.5556640625,
291
+ "loss": 0.4893,
292
+ "nll_loss": 4.758667469024658,
293
+ "rewards/accuracies": 0.75,
294
+ "rewards/chosen": -8.101587295532227,
295
+ "rewards/margins": 1.8269003629684448,
296
+ "rewards/rejected": -9.928487777709961,
297
+ "step": 36
298
+ },
299
+ {
300
+ "epoch": 0.064,
301
+ "grad_norm": 327.81609268765317,
302
+ "learning_rate": 1.5199999999999998e-07,
303
+ "logits/chosen": -6.232708930969238,
304
+ "logits/rejected": -7.9314703941345215,
305
+ "logps/chosen": -1311.58984375,
306
+ "logps/rejected": -1898.37353515625,
307
+ "loss": 0.4384,
308
+ "nll_loss": 4.995038986206055,
309
+ "rewards/accuracies": 0.875,
310
+ "rewards/chosen": -7.171569347381592,
311
+ "rewards/margins": 4.5418925285339355,
312
+ "rewards/rejected": -11.713461875915527,
313
+ "step": 38
314
+ },
315
+ {
316
+ "epoch": 0.06736842105263158,
317
+ "grad_norm": 411.60155946011673,
318
+ "learning_rate": 1.6e-07,
319
+ "logits/chosen": -7.439314365386963,
320
+ "logits/rejected": -7.884708404541016,
321
+ "logps/chosen": -1801.27978515625,
322
+ "logps/rejected": -2006.94921875,
323
+ "loss": 0.3972,
324
+ "nll_loss": 4.832527160644531,
325
+ "rewards/accuracies": 0.5,
326
+ "rewards/chosen": -12.396756172180176,
327
+ "rewards/margins": 1.0853164196014404,
328
+ "rewards/rejected": -13.482072830200195,
329
+ "step": 40
330
+ },
331
+ {
332
+ "epoch": 0.07073684210526315,
333
+ "grad_norm": 353.27396194384323,
334
+ "learning_rate": 1.68e-07,
335
+ "logits/chosen": -6.52924108505249,
336
+ "logits/rejected": -7.981770038604736,
337
+ "logps/chosen": -1366.396484375,
338
+ "logps/rejected": -2025.9642333984375,
339
+ "loss": 0.5679,
340
+ "nll_loss": 4.827330112457275,
341
+ "rewards/accuracies": 0.75,
342
+ "rewards/chosen": -9.584479331970215,
343
+ "rewards/margins": 5.323737621307373,
344
+ "rewards/rejected": -14.90821647644043,
345
+ "step": 42
346
+ },
347
+ {
348
+ "epoch": 0.07410526315789474,
349
+ "grad_norm": 259.81954374623166,
350
+ "learning_rate": 1.76e-07,
351
+ "logits/chosen": -7.801054000854492,
352
+ "logits/rejected": -7.639019966125488,
353
+ "logps/chosen": -1827.47314453125,
354
+ "logps/rejected": -1996.3192138671875,
355
+ "loss": 0.3678,
356
+ "nll_loss": 4.5667243003845215,
357
+ "rewards/accuracies": 1.0,
358
+ "rewards/chosen": -14.310271263122559,
359
+ "rewards/margins": 2.2248902320861816,
360
+ "rewards/rejected": -16.5351619720459,
361
+ "step": 44
362
+ },
363
+ {
364
+ "epoch": 0.07747368421052632,
365
+ "grad_norm": 406.5448161027269,
366
+ "learning_rate": 1.84e-07,
367
+ "logits/chosen": -8.297408103942871,
368
+ "logits/rejected": -7.499330043792725,
369
+ "logps/chosen": -1998.0411376953125,
370
+ "logps/rejected": -1991.69921875,
371
+ "loss": 0.3749,
372
+ "nll_loss": 4.313129425048828,
373
+ "rewards/accuracies": 0.75,
374
+ "rewards/chosen": -16.31363296508789,
375
+ "rewards/margins": 0.6383074522018433,
376
+ "rewards/rejected": -16.951940536499023,
377
+ "step": 46
378
+ },
379
+ {
380
+ "epoch": 0.0808421052631579,
381
+ "grad_norm": 462.82095282625227,
382
+ "learning_rate": 1.9199999999999997e-07,
383
+ "logits/chosen": -7.885348320007324,
384
+ "logits/rejected": -8.057937622070312,
385
+ "logps/chosen": -1869.8287353515625,
386
+ "logps/rejected": -1985.5797119140625,
387
+ "loss": 0.4191,
388
+ "nll_loss": 4.887444019317627,
389
+ "rewards/accuracies": 0.625,
390
+ "rewards/chosen": -15.957789421081543,
391
+ "rewards/margins": 1.4249342679977417,
392
+ "rewards/rejected": -17.382722854614258,
393
+ "step": 48
394
+ },
395
+ {
396
+ "epoch": 0.08421052631578947,
397
+ "grad_norm": 612.0204500259774,
398
+ "learning_rate": 2e-07,
399
+ "logits/chosen": -5.61109733581543,
400
+ "logits/rejected": -7.90653657913208,
401
+ "logps/chosen": -1070.6937255859375,
402
+ "logps/rejected": -2036.2265625,
403
+ "loss": 0.3329,
404
+ "nll_loss": 5.1021575927734375,
405
+ "rewards/accuracies": 1.0,
406
+ "rewards/chosen": -8.67391586303711,
407
+ "rewards/margins": 8.88609504699707,
408
+ "rewards/rejected": -17.560009002685547,
409
+ "step": 50
410
+ },
411
+ {
412
+ "epoch": 0.08757894736842105,
413
+ "grad_norm": 450.4075931864382,
414
+ "learning_rate": 1.9999330539070613e-07,
415
+ "logits/chosen": -7.206405162811279,
416
+ "logits/rejected": -8.117046356201172,
417
+ "logps/chosen": -1794.2418212890625,
418
+ "logps/rejected": -2010.4686279296875,
419
+ "loss": 0.3961,
420
+ "nll_loss": 5.458052158355713,
421
+ "rewards/accuracies": 0.75,
422
+ "rewards/chosen": -15.731528282165527,
423
+ "rewards/margins": 1.6168347597122192,
424
+ "rewards/rejected": -17.348363876342773,
425
+ "step": 52
426
+ },
427
+ {
428
+ "epoch": 0.09094736842105264,
429
+ "grad_norm": 521.1752044658302,
430
+ "learning_rate": 1.9997322245918037e-07,
431
+ "logits/chosen": -7.272748947143555,
432
+ "logits/rejected": -8.118557929992676,
433
+ "logps/chosen": -1745.1031494140625,
434
+ "logps/rejected": -2038.525390625,
435
+ "loss": 0.4714,
436
+ "nll_loss": 5.170174598693848,
437
+ "rewards/accuracies": 0.875,
438
+ "rewards/chosen": -15.204635620117188,
439
+ "rewards/margins": 2.791910409927368,
440
+ "rewards/rejected": -17.996545791625977,
441
+ "step": 54
442
+ },
443
+ {
444
+ "epoch": 0.09431578947368421,
445
+ "grad_norm": 217.38647360461505,
446
+ "learning_rate": 1.9993975389437037e-07,
447
+ "logits/chosen": -6.186915397644043,
448
+ "logits/rejected": -8.047518730163574,
449
+ "logps/chosen": -1388.68603515625,
450
+ "logps/rejected": -2048.745361328125,
451
+ "loss": 0.2578,
452
+ "nll_loss": 5.35891056060791,
453
+ "rewards/accuracies": 1.0,
454
+ "rewards/chosen": -11.742466926574707,
455
+ "rewards/margins": 7.281023025512695,
456
+ "rewards/rejected": -19.023488998413086,
457
+ "step": 56
458
+ },
459
+ {
460
+ "epoch": 0.09768421052631579,
461
+ "grad_norm": 405.6486896009896,
462
+ "learning_rate": 1.9989290417745539e-07,
463
+ "logits/chosen": -6.964948654174805,
464
+ "logits/rejected": -8.299407005310059,
465
+ "logps/chosen": -1703.4879150390625,
466
+ "logps/rejected": -2057.886962890625,
467
+ "loss": 0.4002,
468
+ "nll_loss": 5.260710716247559,
469
+ "rewards/accuracies": 1.0,
470
+ "rewards/chosen": -14.706157684326172,
471
+ "rewards/margins": 3.9658584594726562,
472
+ "rewards/rejected": -18.672016143798828,
473
+ "step": 58
474
+ },
475
+ {
476
+ "epoch": 0.10105263157894737,
477
+ "grad_norm": 475.2633809268288,
478
+ "learning_rate": 1.9983267958124644e-07,
479
+ "logits/chosen": -6.648141384124756,
480
+ "logits/rejected": -7.772933006286621,
481
+ "logps/chosen": -1497.2598876953125,
482
+ "logps/rejected": -2023.4912109375,
483
+ "loss": 0.474,
484
+ "nll_loss": 5.289524555206299,
485
+ "rewards/accuracies": 0.625,
486
+ "rewards/chosen": -13.703365325927734,
487
+ "rewards/margins": 5.52022647857666,
488
+ "rewards/rejected": -19.22359275817871,
489
+ "step": 60
490
+ },
491
+ {
492
+ "epoch": 0.10442105263157894,
493
+ "grad_norm": 295.526199134696,
494
+ "learning_rate": 1.9975908816934638e-07,
495
+ "logits/chosen": -7.280607223510742,
496
+ "logits/rejected": -7.836946964263916,
497
+ "logps/chosen": -1767.7076416015625,
498
+ "logps/rejected": -2027.5374755859375,
499
+ "loss": 0.3311,
500
+ "nll_loss": 4.935500144958496,
501
+ "rewards/accuracies": 0.625,
502
+ "rewards/chosen": -16.52497100830078,
503
+ "rewards/margins": 2.8025190830230713,
504
+ "rewards/rejected": -19.327489852905273,
505
+ "step": 62
506
+ },
507
+ {
508
+ "epoch": 0.10778947368421053,
509
+ "grad_norm": 451.01621367751295,
510
+ "learning_rate": 1.9967213979507017e-07,
511
+ "logits/chosen": -7.747291564941406,
512
+ "logits/rejected": -7.578754901885986,
513
+ "logps/chosen": -1903.654052734375,
514
+ "logps/rejected": -1995.362060546875,
515
+ "loss": 0.2961,
516
+ "nll_loss": 4.874569416046143,
517
+ "rewards/accuracies": 0.625,
518
+ "rewards/chosen": -18.415132522583008,
519
+ "rewards/margins": 1.7832107543945312,
520
+ "rewards/rejected": -20.19834327697754,
521
+ "step": 64
522
+ },
523
+ {
524
+ "epoch": 0.11115789473684211,
525
+ "grad_norm": 391.98836079659304,
526
+ "learning_rate": 1.995718461001257e-07,
527
+ "logits/chosen": -6.887873649597168,
528
+ "logits/rejected": -7.892035484313965,
529
+ "logps/chosen": -1613.168701171875,
530
+ "logps/rejected": -2109.185546875,
531
+ "loss": 0.2514,
532
+ "nll_loss": 4.979562282562256,
533
+ "rewards/accuracies": 0.75,
534
+ "rewards/chosen": -15.48417854309082,
535
+ "rewards/margins": 5.469597816467285,
536
+ "rewards/rejected": -20.953777313232422,
537
+ "step": 66
538
+ },
539
+ {
540
+ "epoch": 0.11452631578947368,
541
+ "grad_norm": 357.9128298203349,
542
+ "learning_rate": 1.9945822051305505e-07,
543
+ "logits/chosen": -6.562501430511475,
544
+ "logits/rejected": -8.093667984008789,
545
+ "logps/chosen": -1624.415771484375,
546
+ "logps/rejected": -2102.240966796875,
547
+ "loss": 0.2549,
548
+ "nll_loss": 5.153851509094238,
549
+ "rewards/accuracies": 1.0,
550
+ "rewards/chosen": -15.476547241210938,
551
+ "rewards/margins": 6.269686222076416,
552
+ "rewards/rejected": -21.746234893798828,
553
+ "step": 68
554
+ },
555
+ {
556
+ "epoch": 0.11789473684210526,
557
+ "grad_norm": 324.2814050905479,
558
+ "learning_rate": 1.9933127824743643e-07,
559
+ "logits/chosen": -7.621331214904785,
560
+ "logits/rejected": -7.522034645080566,
561
+ "logps/chosen": -1808.6651611328125,
562
+ "logps/rejected": -2016.3822021484375,
563
+ "loss": 0.1968,
564
+ "nll_loss": 5.224420070648193,
565
+ "rewards/accuracies": 0.875,
566
+ "rewards/chosen": -17.95054817199707,
567
+ "rewards/margins": 3.378469944000244,
568
+ "rewards/rejected": -21.329015731811523,
569
+ "step": 70
570
+ },
571
+ {
572
+ "epoch": 0.12126315789473684,
573
+ "grad_norm": 507.77270997957345,
574
+ "learning_rate": 1.9919103629984725e-07,
575
+ "logits/chosen": -7.971831321716309,
576
+ "logits/rejected": -7.918793201446533,
577
+ "logps/chosen": -1930.361083984375,
578
+ "logps/rejected": -2080.251953125,
579
+ "loss": 0.3995,
580
+ "nll_loss": 4.725856781005859,
581
+ "rewards/accuracies": 0.75,
582
+ "rewards/chosen": -19.6121826171875,
583
+ "rewards/margins": 1.6514708995819092,
584
+ "rewards/rejected": -21.263654708862305,
585
+ "step": 72
586
+ },
587
+ {
588
+ "epoch": 0.12463157894736843,
589
+ "grad_norm": 405.2199441352807,
590
+ "learning_rate": 1.9903751344758845e-07,
591
+ "logits/chosen": -7.292391300201416,
592
+ "logits/rejected": -8.180887222290039,
593
+ "logps/chosen": -1775.805908203125,
594
+ "logps/rejected": -2013.7442626953125,
595
+ "loss": 0.4428,
596
+ "nll_loss": 5.191011905670166,
597
+ "rewards/accuracies": 0.625,
598
+ "rewards/chosen": -17.799779891967773,
599
+ "rewards/margins": 3.329552173614502,
600
+ "rewards/rejected": -21.129331588745117,
601
+ "step": 74
602
+ },
603
+ {
604
+ "epoch": 0.128,
605
+ "grad_norm": 240.9685453409843,
606
+ "learning_rate": 1.9887073024617028e-07,
607
+ "logits/chosen": -6.470153331756592,
608
+ "logits/rejected": -7.746395587921143,
609
+ "logps/chosen": -1489.3653564453125,
610
+ "logps/rejected": -2056.020751953125,
611
+ "loss": 0.2493,
612
+ "nll_loss": 5.174279689788818,
613
+ "rewards/accuracies": 0.875,
614
+ "rewards/chosen": -15.556097030639648,
615
+ "rewards/margins": 6.754159927368164,
616
+ "rewards/rejected": -22.310256958007812,
617
+ "step": 76
618
+ },
619
+ {
620
+ "epoch": 0.13136842105263158,
621
+ "grad_norm": 493.99746962914696,
622
+ "learning_rate": 1.9869070902656017e-07,
623
+ "logits/chosen": -5.889953136444092,
624
+ "logits/rejected": -8.0224027633667,
625
+ "logps/chosen": -1382.2691650390625,
626
+ "logps/rejected": -2080.0107421875,
627
+ "loss": 0.485,
628
+ "nll_loss": 5.714942932128906,
629
+ "rewards/accuracies": 0.875,
630
+ "rewards/chosen": -14.33112907409668,
631
+ "rewards/margins": 7.287192344665527,
632
+ "rewards/rejected": -21.61832046508789,
633
+ "step": 78
634
+ },
635
+ {
636
+ "epoch": 0.13473684210526315,
637
+ "grad_norm": 137.24435752290512,
638
+ "learning_rate": 1.984974738921927e-07,
639
+ "logits/chosen": -6.03630256652832,
640
+ "logits/rejected": -8.135429382324219,
641
+ "logps/chosen": -1310.54833984375,
642
+ "logps/rejected": -2067.27490234375,
643
+ "loss": 0.2926,
644
+ "nll_loss": 5.408031463623047,
645
+ "rewards/accuracies": 1.0,
646
+ "rewards/chosen": -13.000334739685059,
647
+ "rewards/margins": 9.575756072998047,
648
+ "rewards/rejected": -22.57608985900879,
649
+ "step": 80
650
+ },
651
+ {
652
+ "epoch": 0.13810526315789473,
653
+ "grad_norm": 332.6447170969351,
654
+ "learning_rate": 1.982910507157424e-07,
655
+ "logits/chosen": -7.524165630340576,
656
+ "logits/rejected": -7.871054649353027,
657
+ "logps/chosen": -1923.2384033203125,
658
+ "logps/rejected": -2104.744384765625,
659
+ "loss": 0.4062,
660
+ "nll_loss": 4.740773677825928,
661
+ "rewards/accuracies": 0.875,
662
+ "rewards/chosen": -20.172786712646484,
663
+ "rewards/margins": 2.7083492279052734,
664
+ "rewards/rejected": -22.881135940551758,
665
+ "step": 82
666
+ },
667
+ {
668
+ "epoch": 0.1414736842105263,
669
+ "grad_norm": 434.7785715165825,
670
+ "learning_rate": 1.9807146713565955e-07,
671
+ "logits/chosen": -7.366245746612549,
672
+ "logits/rejected": -7.99586296081543,
673
+ "logps/chosen": -1834.388916015625,
674
+ "logps/rejected": -2039.752685546875,
675
+ "loss": 0.4183,
676
+ "nll_loss": 5.197725296020508,
677
+ "rewards/accuracies": 0.625,
678
+ "rewards/chosen": -19.303865432739258,
679
+ "rewards/margins": 3.0796072483062744,
680
+ "rewards/rejected": -22.38347053527832,
681
+ "step": 84
682
+ },
683
+ {
684
+ "epoch": 0.14484210526315788,
685
+ "grad_norm": 394.456469398082,
686
+ "learning_rate": 1.9783875255246973e-07,
687
+ "logits/chosen": -7.369488716125488,
688
+ "logits/rejected": -7.899564743041992,
689
+ "logps/chosen": -2014.7353515625,
690
+ "logps/rejected": -2079.622802734375,
691
+ "loss": 0.435,
692
+ "nll_loss": 5.506885051727295,
693
+ "rewards/accuracies": 0.5,
694
+ "rewards/chosen": -22.415340423583984,
695
+ "rewards/margins": 1.3391568660736084,
696
+ "rewards/rejected": -23.75449562072754,
697
+ "step": 86
698
+ },
699
+ {
700
+ "epoch": 0.1482105263157895,
701
+ "grad_norm": 474.52038286042045,
702
+ "learning_rate": 1.9759293812483712e-07,
703
+ "logits/chosen": -6.315229892730713,
704
+ "logits/rejected": -7.918384075164795,
705
+ "logps/chosen": -1505.7802734375,
706
+ "logps/rejected": -2153.10986328125,
707
+ "loss": 0.518,
708
+ "nll_loss": 5.55679988861084,
709
+ "rewards/accuracies": 1.0,
710
+ "rewards/chosen": -16.11681365966797,
711
+ "rewards/margins": 8.099884033203125,
712
+ "rewards/rejected": -24.216697692871094,
713
+ "step": 88
714
+ },
715
+ {
716
+ "epoch": 0.15157894736842106,
717
+ "grad_norm": 463.6020653534667,
718
+ "learning_rate": 1.973340567653928e-07,
719
+ "logits/chosen": -7.8903656005859375,
720
+ "logits/rejected": -7.871662616729736,
721
+ "logps/chosen": -2007.9490966796875,
722
+ "logps/rejected": -2079.7353515625,
723
+ "loss": 0.3285,
724
+ "nll_loss": 4.673924922943115,
725
+ "rewards/accuracies": 0.875,
726
+ "rewards/chosen": -21.700756072998047,
727
+ "rewards/margins": 2.0794034004211426,
728
+ "rewards/rejected": -23.78015899658203,
729
+ "step": 90
730
+ },
731
+ {
732
+ "epoch": 0.15494736842105264,
733
+ "grad_norm": 469.1854810466752,
734
+ "learning_rate": 1.9706214313632782e-07,
735
+ "logits/chosen": -7.816376686096191,
736
+ "logits/rejected": -7.4226765632629395,
737
+ "logps/chosen": -1935.4766845703125,
738
+ "logps/rejected": -2112.067138671875,
739
+ "loss": 0.4765,
740
+ "nll_loss": 4.788717746734619,
741
+ "rewards/accuracies": 0.875,
742
+ "rewards/chosen": -21.18560791015625,
743
+ "rewards/margins": 3.7070724964141846,
744
+ "rewards/rejected": -24.892681121826172,
745
+ "step": 92
746
+ },
747
+ {
748
+ "epoch": 0.15831578947368422,
749
+ "grad_norm": 203.68587948112653,
750
+ "learning_rate": 1.9677723364475236e-07,
751
+ "logits/chosen": -7.06157112121582,
752
+ "logits/rejected": -8.203742027282715,
753
+ "logps/chosen": -1748.9493408203125,
754
+ "logps/rejected": -2103.68212890625,
755
+ "loss": 0.2824,
756
+ "nll_loss": 5.13286828994751,
757
+ "rewards/accuracies": 0.875,
758
+ "rewards/chosen": -18.6251220703125,
759
+ "rewards/margins": 5.7565789222717285,
760
+ "rewards/rejected": -24.381698608398438,
761
+ "step": 94
762
+ },
763
+ {
764
+ "epoch": 0.1616842105263158,
765
+ "grad_norm": 454.0753654405841,
766
+ "learning_rate": 1.9647936643782106e-07,
767
+ "logits/chosen": -7.063906669616699,
768
+ "logits/rejected": -7.930819511413574,
769
+ "logps/chosen": -1851.276611328125,
770
+ "logps/rejected": -2139.397216796875,
771
+ "loss": 0.4842,
772
+ "nll_loss": 4.915232181549072,
773
+ "rewards/accuracies": 0.75,
774
+ "rewards/chosen": -20.60812759399414,
775
+ "rewards/margins": 3.6515331268310547,
776
+ "rewards/rejected": -24.259662628173828,
777
+ "step": 96
778
+ },
779
+ {
780
+ "epoch": 0.16505263157894737,
781
+ "grad_norm": 290.76223910181324,
782
+ "learning_rate": 1.961685813976253e-07,
783
+ "logits/chosen": -7.524170875549316,
784
+ "logits/rejected": -8.006389617919922,
785
+ "logps/chosen": -1945.13623046875,
786
+ "logps/rejected": -2088.755126953125,
787
+ "loss": 0.3862,
788
+ "nll_loss": 4.894111633300781,
789
+ "rewards/accuracies": 0.75,
790
+ "rewards/chosen": -22.57034683227539,
791
+ "rewards/margins": 2.1726748943328857,
792
+ "rewards/rejected": -24.74302101135254,
793
+ "step": 98
794
+ },
795
+ {
796
+ "epoch": 0.16842105263157894,
797
+ "grad_norm": 245.46799212168173,
798
+ "learning_rate": 1.9584492013585354e-07,
799
+ "logits/chosen": -7.0596513748168945,
800
+ "logits/rejected": -7.93139123916626,
801
+ "logps/chosen": -1557.81787109375,
802
+ "logps/rejected": -2036.077880859375,
803
+ "loss": 0.192,
804
+ "nll_loss": 5.297558784484863,
805
+ "rewards/accuracies": 0.875,
806
+ "rewards/chosen": -16.414541244506836,
807
+ "rewards/margins": 8.017242431640625,
808
+ "rewards/rejected": -24.431781768798828,
809
+ "step": 100
810
+ },
811
+ {
812
+ "epoch": 0.17178947368421052,
813
+ "grad_norm": 404.1873598654466,
814
+ "learning_rate": 1.955084259882195e-07,
815
+ "logits/chosen": -5.742030143737793,
816
+ "logits/rejected": -7.751094818115234,
817
+ "logps/chosen": -1235.095947265625,
818
+ "logps/rejected": -2130.07080078125,
819
+ "loss": 0.3401,
820
+ "nll_loss": 5.310590744018555,
821
+ "rewards/accuracies": 1.0,
822
+ "rewards/chosen": -13.479273796081543,
823
+ "rewards/margins": 12.036299705505371,
824
+ "rewards/rejected": -25.515575408935547,
825
+ "step": 102
826
+ },
827
+ {
828
+ "epoch": 0.1751578947368421,
829
+ "grad_norm": 116.3442830030767,
830
+ "learning_rate": 1.9515914400866017e-07,
831
+ "logits/chosen": -7.13689661026001,
832
+ "logits/rejected": -7.9674553871154785,
833
+ "logps/chosen": -1809.794677734375,
834
+ "logps/rejected": -2110.8828125,
835
+ "loss": 0.2132,
836
+ "nll_loss": 5.315598487854004,
837
+ "rewards/accuracies": 0.875,
838
+ "rewards/chosen": -21.165102005004883,
839
+ "rewards/margins": 4.648441791534424,
840
+ "rewards/rejected": -25.81354522705078,
841
+ "step": 104
842
+ },
843
+ {
844
+ "epoch": 0.17852631578947367,
845
+ "grad_norm": 290.204628775111,
846
+ "learning_rate": 1.9479712096330334e-07,
847
+ "logits/chosen": -7.378734111785889,
848
+ "logits/rejected": -7.894670486450195,
849
+ "logps/chosen": -1803.5947265625,
850
+ "logps/rejected": -2066.1181640625,
851
+ "loss": 0.3482,
852
+ "nll_loss": 5.543490409851074,
853
+ "rewards/accuracies": 0.75,
854
+ "rewards/chosen": -20.527360916137695,
855
+ "rewards/margins": 5.067646026611328,
856
+ "rewards/rejected": -25.595006942749023,
857
+ "step": 106
858
+ },
859
+ {
860
+ "epoch": 0.18189473684210528,
861
+ "grad_norm": 361.78273867060045,
862
+ "learning_rate": 1.944224053242058e-07,
863
+ "logits/chosen": -7.142321586608887,
864
+ "logits/rejected": -7.959826946258545,
865
+ "logps/chosen": -1579.7891845703125,
866
+ "logps/rejected": -2068.02197265625,
867
+ "loss": 0.2804,
868
+ "nll_loss": 4.833759307861328,
869
+ "rewards/accuracies": 0.875,
870
+ "rewards/chosen": -18.271129608154297,
871
+ "rewards/margins": 7.227394104003906,
872
+ "rewards/rejected": -25.498523712158203,
873
+ "step": 108
874
+ },
875
+ {
876
+ "epoch": 0.18526315789473685,
877
+ "grad_norm": 235.0435714261294,
878
+ "learning_rate": 1.9403504726286367e-07,
879
+ "logits/chosen": -5.593753337860107,
880
+ "logits/rejected": -8.2781400680542,
881
+ "logps/chosen": -1415.476806640625,
882
+ "logps/rejected": -2148.1337890625,
883
+ "loss": 0.259,
884
+ "nll_loss": 4.7400031089782715,
885
+ "rewards/accuracies": 0.75,
886
+ "rewards/chosen": -16.4371337890625,
887
+ "rewards/margins": 9.744308471679688,
888
+ "rewards/rejected": -26.18144416809082,
889
+ "step": 110
890
+ },
891
+ {
892
+ "epoch": 0.18863157894736843,
893
+ "grad_norm": 347.2912929912007,
894
+ "learning_rate": 1.9363509864349436e-07,
895
+ "logits/chosen": -6.396492004394531,
896
+ "logits/rejected": -8.129210472106934,
897
+ "logps/chosen": -1428.15185546875,
898
+ "logps/rejected": -2139.29931640625,
899
+ "loss": 0.1951,
900
+ "nll_loss": 5.208731174468994,
901
+ "rewards/accuracies": 1.0,
902
+ "rewards/chosen": -17.481124877929688,
903
+ "rewards/margins": 9.886039733886719,
904
+ "rewards/rejected": -27.367164611816406,
905
+ "step": 112
906
+ },
907
+ {
908
+ "epoch": 0.192,
909
+ "grad_norm": 443.2420860827636,
910
+ "learning_rate": 1.9322261301609284e-07,
911
+ "logits/chosen": -7.289253234863281,
912
+ "logits/rejected": -8.456584930419922,
913
+ "logps/chosen": -1952.02685546875,
914
+ "logps/rejected": -2108.48876953125,
915
+ "loss": 0.4061,
916
+ "nll_loss": 5.445844650268555,
917
+ "rewards/accuracies": 1.0,
918
+ "rewards/chosen": -24.95429229736328,
919
+ "rewards/margins": 2.7193362712860107,
920
+ "rewards/rejected": -27.673629760742188,
921
+ "step": 114
922
+ },
923
+ {
924
+ "epoch": 0.19536842105263158,
925
+ "grad_norm": 322.7074429727334,
926
+ "learning_rate": 1.927976456092614e-07,
927
+ "logits/chosen": -7.254305362701416,
928
+ "logits/rejected": -8.170782089233398,
929
+ "logps/chosen": -1910.8201904296875,
930
+ "logps/rejected": -2137.612548828125,
931
+ "loss": 0.3789,
932
+ "nll_loss": 5.32393217086792,
933
+ "rewards/accuracies": 0.875,
934
+ "rewards/chosen": -23.50674819946289,
935
+ "rewards/margins": 3.4448273181915283,
936
+ "rewards/rejected": -26.951576232910156,
937
+ "step": 116
938
+ },
939
+ {
940
+ "epoch": 0.19873684210526316,
941
+ "grad_norm": 230.28383471544416,
942
+ "learning_rate": 1.9236025332281506e-07,
943
+ "logits/chosen": -6.197360515594482,
944
+ "logits/rejected": -8.328180313110352,
945
+ "logps/chosen": -1564.211669921875,
946
+ "logps/rejected": -2164.58056640625,
947
+ "loss": 0.1884,
948
+ "nll_loss": 5.403533458709717,
949
+ "rewards/accuracies": 1.0,
950
+ "rewards/chosen": -18.896282196044922,
951
+ "rewards/margins": 8.365097999572754,
952
+ "rewards/rejected": -27.261381149291992,
953
+ "step": 118
954
+ },
955
+ {
956
+ "epoch": 0.20210526315789473,
957
+ "grad_norm": 375.89177298791736,
958
+ "learning_rate": 1.9191049472016313e-07,
959
+ "logits/chosen": -7.113523006439209,
960
+ "logits/rejected": -7.964775562286377,
961
+ "logps/chosen": -1672.96923828125,
962
+ "logps/rejected": -2136.83642578125,
963
+ "loss": 0.2439,
964
+ "nll_loss": 4.739628791809082,
965
+ "rewards/accuracies": 0.625,
966
+ "rewards/chosen": -20.55191993713379,
967
+ "rewards/margins": 5.649931907653809,
968
+ "rewards/rejected": -26.20184898376465,
969
+ "step": 120
970
+ },
971
+ {
972
+ "epoch": 0.2054736842105263,
973
+ "grad_norm": 323.0978953815701,
974
+ "learning_rate": 1.9144843002046805e-07,
975
+ "logits/chosen": -6.809453964233398,
976
+ "logits/rejected": -8.00958251953125,
977
+ "logps/chosen": -1658.2227783203125,
978
+ "logps/rejected": -2084.864990234375,
979
+ "loss": 0.5958,
980
+ "nll_loss": 5.457843780517578,
981
+ "rewards/accuracies": 0.75,
982
+ "rewards/chosen": -20.677547454833984,
983
+ "rewards/margins": 6.124557018280029,
984
+ "rewards/rejected": -26.802101135253906,
985
+ "step": 122
986
+ },
987
+ {
988
+ "epoch": 0.20884210526315788,
989
+ "grad_norm": 258.6436979707799,
990
+ "learning_rate": 1.9097412109058243e-07,
991
+ "logits/chosen": -7.692294597625732,
992
+ "logits/rejected": -8.052206993103027,
993
+ "logps/chosen": -1873.5733642578125,
994
+ "logps/rejected": -2030.232177734375,
995
+ "loss": 0.4711,
996
+ "nll_loss": 5.26876163482666,
997
+ "rewards/accuracies": 1.0,
998
+ "rewards/chosen": -22.60447120666504,
999
+ "rewards/margins": 3.8998751640319824,
1000
+ "rewards/rejected": -26.50434684753418,
1001
+ "step": 124
1002
+ },
1003
+ {
1004
+ "epoch": 0.21221052631578946,
1005
+ "grad_norm": 372.3923082583742,
1006
+ "learning_rate": 1.9048763143676575e-07,
1007
+ "logits/chosen": -7.407994747161865,
1008
+ "logits/rejected": -7.782034397125244,
1009
+ "logps/chosen": -1862.9501953125,
1010
+ "logps/rejected": -2138.9091796875,
1011
+ "loss": 0.1584,
1012
+ "nll_loss": 5.26196813583374,
1013
+ "rewards/accuracies": 1.0,
1014
+ "rewards/chosen": -21.54726791381836,
1015
+ "rewards/margins": 5.700539588928223,
1016
+ "rewards/rejected": -27.247806549072266,
1017
+ "step": 126
1018
+ },
1019
+ {
1020
+ "epoch": 0.21557894736842106,
1021
+ "grad_norm": 176.97835981766247,
1022
+ "learning_rate": 1.8998902619618113e-07,
1023
+ "logits/chosen": -6.254648208618164,
1024
+ "logits/rejected": -8.410988807678223,
1025
+ "logps/chosen": -1320.6219482421875,
1026
+ "logps/rejected": -2096.9287109375,
1027
+ "loss": 0.2115,
1028
+ "nll_loss": 5.321068286895752,
1029
+ "rewards/accuracies": 1.0,
1030
+ "rewards/chosen": -15.538348197937012,
1031
+ "rewards/margins": 11.237432479858398,
1032
+ "rewards/rejected": -26.775779724121094,
1033
+ "step": 128
1034
+ },
1035
+ {
1036
+ "epoch": 0.21894736842105264,
1037
+ "grad_norm": 547.3377613503384,
1038
+ "learning_rate": 1.8947837212817413e-07,
1039
+ "logits/chosen": -6.936631202697754,
1040
+ "logits/rejected": -8.201074600219727,
1041
+ "logps/chosen": -1785.872314453125,
1042
+ "logps/rejected": -2129.34375,
1043
+ "loss": 0.3615,
1044
+ "nll_loss": 5.191522598266602,
1045
+ "rewards/accuracies": 0.875,
1046
+ "rewards/chosen": -21.109575271606445,
1047
+ "rewards/margins": 5.265467643737793,
1048
+ "rewards/rejected": -26.37504005432129,
1049
+ "step": 130
1050
+ },
1051
+ {
1052
+ "epoch": 0.22231578947368422,
1053
+ "grad_norm": 353.0941136935024,
1054
+ "learning_rate": 1.8895573760533412e-07,
1055
+ "logits/chosen": -7.306629180908203,
1056
+ "logits/rejected": -7.669928073883057,
1057
+ "logps/chosen": -1730.935546875,
1058
+ "logps/rejected": -2167.73095703125,
1059
+ "loss": 0.293,
1060
+ "nll_loss": 4.846038818359375,
1061
+ "rewards/accuracies": 0.75,
1062
+ "rewards/chosen": -20.911489486694336,
1063
+ "rewards/margins": 6.074740409851074,
1064
+ "rewards/rejected": -26.986228942871094,
1065
+ "step": 132
1066
+ },
1067
+ {
1068
+ "epoch": 0.2256842105263158,
1069
+ "grad_norm": 212.13304713669675,
1070
+ "learning_rate": 1.884211926043398e-07,
1071
+ "logits/chosen": -6.941915035247803,
1072
+ "logits/rejected": -8.13010311126709,
1073
+ "logps/chosen": -1714.9908447265625,
1074
+ "logps/rejected": -2106.353515625,
1075
+ "loss": 0.1782,
1076
+ "nll_loss": 5.203182220458984,
1077
+ "rewards/accuracies": 0.875,
1078
+ "rewards/chosen": -20.565366744995117,
1079
+ "rewards/margins": 5.9251708984375,
1080
+ "rewards/rejected": -26.490537643432617,
1081
+ "step": 134
1082
+ },
1083
+ {
1084
+ "epoch": 0.22905263157894737,
1085
+ "grad_norm": 279.1889760986275,
1086
+ "learning_rate": 1.8787480869658978e-07,
1087
+ "logits/chosen": -7.706783294677734,
1088
+ "logits/rejected": -7.740918159484863,
1089
+ "logps/chosen": -2039.910888671875,
1090
+ "logps/rejected": -2072.723876953125,
1091
+ "loss": 0.2864,
1092
+ "nll_loss": 4.911942958831787,
1093
+ "rewards/accuracies": 0.875,
1094
+ "rewards/chosen": -23.88863754272461,
1095
+ "rewards/margins": 1.29465651512146,
1096
+ "rewards/rejected": -25.183292388916016,
1097
+ "step": 136
1098
+ },
1099
+ {
1100
+ "epoch": 0.23242105263157894,
1101
+ "grad_norm": 550.1062681428017,
1102
+ "learning_rate": 1.8731665903861985e-07,
1103
+ "logits/chosen": -6.753871917724609,
1104
+ "logits/rejected": -8.267376899719238,
1105
+ "logps/chosen": -1722.739990234375,
1106
+ "logps/rejected": -2134.793212890625,
1107
+ "loss": 0.2628,
1108
+ "nll_loss": 5.156876087188721,
1109
+ "rewards/accuracies": 1.0,
1110
+ "rewards/chosen": -19.4663143157959,
1111
+ "rewards/margins": 6.938652038574219,
1112
+ "rewards/rejected": -26.404966354370117,
1113
+ "step": 138
1114
+ },
1115
+ {
1116
+ "epoch": 0.23578947368421052,
1117
+ "grad_norm": 387.2010540404042,
1118
+ "learning_rate": 1.8674681836230768e-07,
1119
+ "logits/chosen": -7.421821117401123,
1120
+ "logits/rejected": -8.06303882598877,
1121
+ "logps/chosen": -1804.21875,
1122
+ "logps/rejected": -2085.41943359375,
1123
+ "loss": 0.4242,
1124
+ "nll_loss": 4.941443920135498,
1125
+ "rewards/accuracies": 0.875,
1126
+ "rewards/chosen": -21.495800018310547,
1127
+ "rewards/margins": 4.65245246887207,
1128
+ "rewards/rejected": -26.148252487182617,
1129
+ "step": 140
1130
+ },
1131
+ {
1132
+ "epoch": 0.2391578947368421,
1133
+ "grad_norm": 319.34935073129554,
1134
+ "learning_rate": 1.8616536296486708e-07,
1135
+ "logits/chosen": -6.959980487823486,
1136
+ "logits/rejected": -8.008804321289062,
1137
+ "logps/chosen": -1645.2440185546875,
1138
+ "logps/rejected": -2129.713623046875,
1139
+ "loss": 0.2486,
1140
+ "nll_loss": 5.249794960021973,
1141
+ "rewards/accuracies": 0.875,
1142
+ "rewards/chosen": -19.205081939697266,
1143
+ "rewards/margins": 6.898474216461182,
1144
+ "rewards/rejected": -26.103557586669922,
1145
+ "step": 142
1146
+ },
1147
+ {
1148
+ "epoch": 0.24252631578947367,
1149
+ "grad_norm": 179.51700063120762,
1150
+ "learning_rate": 1.855723706986322e-07,
1151
+ "logits/chosen": -6.863515377044678,
1152
+ "logits/rejected": -8.17676067352295,
1153
+ "logps/chosen": -1595.7620849609375,
1154
+ "logps/rejected": -2139.49951171875,
1155
+ "loss": 0.2893,
1156
+ "nll_loss": 5.239679336547852,
1157
+ "rewards/accuracies": 0.75,
1158
+ "rewards/chosen": -19.65725326538086,
1159
+ "rewards/margins": 7.443434238433838,
1160
+ "rewards/rejected": -27.10068702697754,
1161
+ "step": 144
1162
+ },
1163
+ {
1164
+ "epoch": 0.24589473684210525,
1165
+ "grad_norm": 275.3682193899652,
1166
+ "learning_rate": 1.8496792096063377e-07,
1167
+ "logits/chosen": -6.194632530212402,
1168
+ "logits/rejected": -8.473308563232422,
1169
+ "logps/chosen": -1469.7490234375,
1170
+ "logps/rejected": -2113.530029296875,
1171
+ "loss": 0.2238,
1172
+ "nll_loss": 5.825500965118408,
1173
+ "rewards/accuracies": 0.875,
1174
+ "rewards/chosen": -18.392675399780273,
1175
+ "rewards/margins": 9.299560546875,
1176
+ "rewards/rejected": -27.692235946655273,
1177
+ "step": 146
1178
+ },
1179
+ {
1180
+ "epoch": 0.24926315789473685,
1181
+ "grad_norm": 323.66578296523716,
1182
+ "learning_rate": 1.8435209468196847e-07,
1183
+ "logits/chosen": -7.083681106567383,
1184
+ "logits/rejected": -8.149633407592773,
1185
+ "logps/chosen": -1779.7303466796875,
1186
+ "logps/rejected": -2133.3251953125,
1187
+ "loss": 0.5144,
1188
+ "nll_loss": 4.9437971115112305,
1189
+ "rewards/accuracies": 0.75,
1190
+ "rewards/chosen": -22.35186767578125,
1191
+ "rewards/margins": 6.203129291534424,
1192
+ "rewards/rejected": -28.55499839782715,
1193
+ "step": 148
1194
+ },
1195
+ {
1196
+ "epoch": 0.25263157894736843,
1197
+ "grad_norm": 461.451311082762,
1198
+ "learning_rate": 1.8372497431696285e-07,
1199
+ "logits/chosen": -7.620912551879883,
1200
+ "logits/rejected": -8.02045726776123,
1201
+ "logps/chosen": -1918.67724609375,
1202
+ "logps/rejected": -2131.48193359375,
1203
+ "loss": 0.4635,
1204
+ "nll_loss": 4.790881633758545,
1205
+ "rewards/accuracies": 0.75,
1206
+ "rewards/chosen": -24.607433319091797,
1207
+ "rewards/margins": 3.646448850631714,
1208
+ "rewards/rejected": -28.25388526916504,
1209
+ "step": 150
1210
+ },
1211
+ {
1212
+ "epoch": 0.256,
1213
+ "grad_norm": 405.566848682187,
1214
+ "learning_rate": 1.830866438321334e-07,
1215
+ "logits/chosen": -7.111250877380371,
1216
+ "logits/rejected": -8.096766471862793,
1217
+ "logps/chosen": -1748.1270751953125,
1218
+ "logps/rejected": -2097.0595703125,
1219
+ "loss": 0.4518,
1220
+ "nll_loss": 5.408980846405029,
1221
+ "rewards/accuracies": 0.75,
1222
+ "rewards/chosen": -23.680131912231445,
1223
+ "rewards/margins": 5.77828311920166,
1224
+ "rewards/rejected": -29.458415985107422,
1225
+ "step": 152
1226
+ },
1227
+ {
1228
+ "epoch": 0.2593684210526316,
1229
+ "grad_norm": 298.617818561619,
1230
+ "learning_rate": 1.8243718869494405e-07,
1231
+ "logits/chosen": -7.182644844055176,
1232
+ "logits/rejected": -8.200958251953125,
1233
+ "logps/chosen": -1616.265625,
1234
+ "logps/rejected": -2086.645751953125,
1235
+ "loss": 0.2766,
1236
+ "nll_loss": 5.574889183044434,
1237
+ "rewards/accuracies": 0.875,
1238
+ "rewards/chosen": -21.693281173706055,
1239
+ "rewards/margins": 7.690347671508789,
1240
+ "rewards/rejected": -29.38362693786621,
1241
+ "step": 154
1242
+ },
1243
+ {
1244
+ "epoch": 0.26273684210526316,
1245
+ "grad_norm": 297.68208713323685,
1246
+ "learning_rate": 1.8177669586236274e-07,
1247
+ "logits/chosen": -7.177743434906006,
1248
+ "logits/rejected": -8.266185760498047,
1249
+ "logps/chosen": -1737.14892578125,
1250
+ "logps/rejected": -2121.933837890625,
1251
+ "loss": 0.1476,
1252
+ "nll_loss": 5.227602481842041,
1253
+ "rewards/accuracies": 1.0,
1254
+ "rewards/chosen": -23.120718002319336,
1255
+ "rewards/margins": 7.246493816375732,
1256
+ "rewards/rejected": -30.367212295532227,
1257
+ "step": 156
1258
+ },
1259
+ {
1260
+ "epoch": 0.26610526315789473,
1261
+ "grad_norm": 321.45477422959516,
1262
+ "learning_rate": 1.811052537692186e-07,
1263
+ "logits/chosen": -7.373076915740967,
1264
+ "logits/rejected": -8.062271118164062,
1265
+ "logps/chosen": -1772.658447265625,
1266
+ "logps/rejected": -2124.108642578125,
1267
+ "loss": 0.1706,
1268
+ "nll_loss": 5.48671817779541,
1269
+ "rewards/accuracies": 0.875,
1270
+ "rewards/chosen": -22.967531204223633,
1271
+ "rewards/margins": 7.354568004608154,
1272
+ "rewards/rejected": -30.322099685668945,
1273
+ "step": 158
1274
+ },
1275
+ {
1276
+ "epoch": 0.2694736842105263,
1277
+ "grad_norm": 265.3611042051943,
1278
+ "learning_rate": 1.8042295231636113e-07,
1279
+ "logits/chosen": -6.719966888427734,
1280
+ "logits/rejected": -8.064167976379395,
1281
+ "logps/chosen": -1674.589111328125,
1282
+ "logps/rejected": -2176.885009765625,
1283
+ "loss": 0.3049,
1284
+ "nll_loss": 5.396821022033691,
1285
+ "rewards/accuracies": 1.0,
1286
+ "rewards/chosen": -22.00328254699707,
1287
+ "rewards/margins": 8.764394760131836,
1288
+ "rewards/rejected": -30.767677307128906,
1289
+ "step": 160
1290
+ },
1291
+ {
1292
+ "epoch": 0.2728421052631579,
1293
+ "grad_norm": 442.39075275710724,
1294
+ "learning_rate": 1.7972988285862333e-07,
1295
+ "logits/chosen": -7.613976001739502,
1296
+ "logits/rejected": -8.213547706604004,
1297
+ "logps/chosen": -2117.5400390625,
1298
+ "logps/rejected": -2208.39599609375,
1299
+ "loss": 0.2877,
1300
+ "nll_loss": 5.046686172485352,
1301
+ "rewards/accuracies": 1.0,
1302
+ "rewards/chosen": -28.775413513183594,
1303
+ "rewards/margins": 1.5463881492614746,
1304
+ "rewards/rejected": -30.32179832458496,
1305
+ "step": 162
1306
+ },
1307
+ {
1308
+ "epoch": 0.27621052631578946,
1309
+ "grad_norm": 232.11714950375813,
1310
+ "learning_rate": 1.7902613819258983e-07,
1311
+ "logits/chosen": -6.078405857086182,
1312
+ "logits/rejected": -8.073712348937988,
1313
+ "logps/chosen": -1325.989990234375,
1314
+ "logps/rejected": -2109.148681640625,
1315
+ "loss": 0.1362,
1316
+ "nll_loss": 5.590985298156738,
1317
+ "rewards/accuracies": 1.0,
1318
+ "rewards/chosen": -17.27791976928711,
1319
+ "rewards/margins": 13.148313522338867,
1320
+ "rewards/rejected": -30.426233291625977,
1321
+ "step": 164
1322
+ },
1323
+ {
1324
+ "epoch": 0.27957894736842104,
1325
+ "grad_norm": 178.08792377292178,
1326
+ "learning_rate": 1.7831181254417226e-07,
1327
+ "logits/chosen": -7.393200397491455,
1328
+ "logits/rejected": -7.933506965637207,
1329
+ "logps/chosen": -1770.2550048828125,
1330
+ "logps/rejected": -2183.81884765625,
1331
+ "loss": 0.1839,
1332
+ "nll_loss": 4.8053669929504395,
1333
+ "rewards/accuracies": 1.0,
1334
+ "rewards/chosen": -22.983407974243164,
1335
+ "rewards/margins": 7.7809247970581055,
1336
+ "rewards/rejected": -30.764333724975586,
1337
+ "step": 166
1338
+ },
1339
+ {
1340
+ "epoch": 0.2829473684210526,
1341
+ "grad_norm": 422.36016546899873,
1342
+ "learning_rate": 1.7758700155599316e-07,
1343
+ "logits/chosen": -6.5516037940979,
1344
+ "logits/rejected": -7.964224815368652,
1345
+ "logps/chosen": -1520.2445068359375,
1346
+ "logps/rejected": -2135.012451171875,
1347
+ "loss": 0.1957,
1348
+ "nll_loss": 5.540028095245361,
1349
+ "rewards/accuracies": 0.875,
1350
+ "rewards/chosen": -20.019882202148438,
1351
+ "rewards/margins": 11.298989295959473,
1352
+ "rewards/rejected": -31.318870544433594,
1353
+ "step": 168
1354
+ },
1355
+ {
1356
+ "epoch": 0.2863157894736842,
1357
+ "grad_norm": 496.76355668466664,
1358
+ "learning_rate": 1.7685180227458002e-07,
1359
+ "logits/chosen": -7.281660556793213,
1360
+ "logits/rejected": -8.243330955505371,
1361
+ "logps/chosen": -1699.278564453125,
1362
+ "logps/rejected": -2149.191650390625,
1363
+ "loss": 0.4263,
1364
+ "nll_loss": 5.4164533615112305,
1365
+ "rewards/accuracies": 0.75,
1366
+ "rewards/chosen": -24.19361686706543,
1367
+ "rewards/margins": 6.679977893829346,
1368
+ "rewards/rejected": -30.873594284057617,
1369
+ "step": 170
1370
+ },
1371
+ {
1372
+ "epoch": 0.28968421052631577,
1373
+ "grad_norm": 368.2965007979305,
1374
+ "learning_rate": 1.7610631313737172e-07,
1375
+ "logits/chosen": -7.080427646636963,
1376
+ "logits/rejected": -8.119704246520996,
1377
+ "logps/chosen": -1611.391357421875,
1378
+ "logps/rejected": -2172.8203125,
1379
+ "loss": 0.3694,
1380
+ "nll_loss": 5.258100509643555,
1381
+ "rewards/accuracies": 0.875,
1382
+ "rewards/chosen": -22.043684005737305,
1383
+ "rewards/margins": 9.61347770690918,
1384
+ "rewards/rejected": -31.657163619995117,
1385
+ "step": 172
1386
+ },
1387
+ {
1388
+ "epoch": 0.29305263157894734,
1389
+ "grad_norm": 670.6700241176729,
1390
+ "learning_rate": 1.753506339595384e-07,
1391
+ "logits/chosen": -7.517750263214111,
1392
+ "logits/rejected": -7.757349967956543,
1393
+ "logps/chosen": -1787.9560546875,
1394
+ "logps/rejected": -2129.67822265625,
1395
+ "loss": 0.298,
1396
+ "nll_loss": 5.433893203735352,
1397
+ "rewards/accuracies": 0.625,
1398
+ "rewards/chosen": -25.235340118408203,
1399
+ "rewards/margins": 6.193837642669678,
1400
+ "rewards/rejected": -31.42917823791504,
1401
+ "step": 174
1402
+ },
1403
+ {
1404
+ "epoch": 0.296421052631579,
1405
+ "grad_norm": 410.62113772917246,
1406
+ "learning_rate": 1.7458486592061701e-07,
1407
+ "logits/chosen": -6.625953674316406,
1408
+ "logits/rejected": -8.243332862854004,
1409
+ "logps/chosen": -1637.386474609375,
1410
+ "logps/rejected": -2249.2197265625,
1411
+ "loss": 0.3263,
1412
+ "nll_loss": 5.135756969451904,
1413
+ "rewards/accuracies": 1.0,
1414
+ "rewards/chosen": -22.93773651123047,
1415
+ "rewards/margins": 10.093299865722656,
1416
+ "rewards/rejected": -33.03103256225586,
1417
+ "step": 176
1418
+ },
1419
+ {
1420
+ "epoch": 0.29978947368421055,
1421
+ "grad_norm": 518.14733064062,
1422
+ "learning_rate": 1.7380911155096407e-07,
1423
+ "logits/chosen": -6.312992572784424,
1424
+ "logits/rejected": -7.9758687019348145,
1425
+ "logps/chosen": -1488.8402099609375,
1426
+ "logps/rejected": -2148.6962890625,
1427
+ "loss": 0.591,
1428
+ "nll_loss": 5.555506706237793,
1429
+ "rewards/accuracies": 0.75,
1430
+ "rewards/chosen": -20.87957763671875,
1431
+ "rewards/margins": 10.946573257446289,
1432
+ "rewards/rejected": -31.82615089416504,
1433
+ "step": 178
1434
+ },
1435
+ {
1436
+ "epoch": 0.3031578947368421,
1437
+ "grad_norm": 230.12282725753218,
1438
+ "learning_rate": 1.7302347471802795e-07,
1439
+ "logits/chosen": -6.5913238525390625,
1440
+ "logits/rejected": -8.363908767700195,
1441
+ "logps/chosen": -1680.2467041015625,
1442
+ "logps/rejected": -2223.9873046875,
1443
+ "loss": 0.3578,
1444
+ "nll_loss": 5.693438529968262,
1445
+ "rewards/accuracies": 1.0,
1446
+ "rewards/chosen": -23.647768020629883,
1447
+ "rewards/margins": 8.622623443603516,
1448
+ "rewards/rejected": -32.27039337158203,
1449
+ "step": 180
1450
+ },
1451
+ {
1452
+ "epoch": 0.3065263157894737,
1453
+ "grad_norm": 290.90448926580694,
1454
+ "learning_rate": 1.7222806061244146e-07,
1455
+ "logits/chosen": -6.316551208496094,
1456
+ "logits/rejected": -8.457919120788574,
1457
+ "logps/chosen": -1597.56103515625,
1458
+ "logps/rejected": -2268.66259765625,
1459
+ "loss": 0.1266,
1460
+ "nll_loss": 5.54366397857666,
1461
+ "rewards/accuracies": 1.0,
1462
+ "rewards/chosen": -22.09076499938965,
1463
+ "rewards/margins": 9.565703392028809,
1464
+ "rewards/rejected": -31.656469345092773,
1465
+ "step": 182
1466
+ },
1467
+ {
1468
+ "epoch": 0.3098947368421053,
1469
+ "grad_norm": 219.15996405308613,
1470
+ "learning_rate": 1.7142297573393788e-07,
1471
+ "logits/chosen": -7.972108840942383,
1472
+ "logits/rejected": -8.042094230651855,
1473
+ "logps/chosen": -1998.596923828125,
1474
+ "logps/rejected": -2172.12255859375,
1475
+ "loss": 0.3072,
1476
+ "nll_loss": 5.00222110748291,
1477
+ "rewards/accuracies": 0.875,
1478
+ "rewards/chosen": -28.76752281188965,
1479
+ "rewards/margins": 3.3450047969818115,
1480
+ "rewards/rejected": -32.112525939941406,
1481
+ "step": 184
1482
+ },
1483
+ {
1484
+ "epoch": 0.31326315789473685,
1485
+ "grad_norm": 322.85198814627114,
1486
+ "learning_rate": 1.7060832787709138e-07,
1487
+ "logits/chosen": -6.03144645690918,
1488
+ "logits/rejected": -8.47148323059082,
1489
+ "logps/chosen": -1274.5035400390625,
1490
+ "logps/rejected": -2136.2109375,
1491
+ "loss": 0.3631,
1492
+ "nll_loss": 5.840561866760254,
1493
+ "rewards/accuracies": 0.875,
1494
+ "rewards/chosen": -17.418729782104492,
1495
+ "rewards/margins": 15.012275695800781,
1496
+ "rewards/rejected": -32.43100357055664,
1497
+ "step": 186
1498
+ },
1499
+ {
1500
+ "epoch": 0.31663157894736843,
1501
+ "grad_norm": 513.7476885592771,
1502
+ "learning_rate": 1.697842261168843e-07,
1503
+ "logits/chosen": -7.334516525268555,
1504
+ "logits/rejected": -8.225534439086914,
1505
+ "logps/chosen": -1927.53515625,
1506
+ "logps/rejected": -2148.278564453125,
1507
+ "loss": 0.3361,
1508
+ "nll_loss": 5.305893898010254,
1509
+ "rewards/accuracies": 0.875,
1510
+ "rewards/chosen": -26.597455978393555,
1511
+ "rewards/margins": 5.804078102111816,
1512
+ "rewards/rejected": -32.40153503417969,
1513
+ "step": 188
1514
+ },
1515
+ {
1516
+ "epoch": 0.32,
1517
+ "grad_norm": 163.682762913509,
1518
+ "learning_rate": 1.6895078079410266e-07,
1519
+ "logits/chosen": -5.538216590881348,
1520
+ "logits/rejected": -8.494758605957031,
1521
+ "logps/chosen": -1233.1563720703125,
1522
+ "logps/rejected": -2203.232177734375,
1523
+ "loss": 0.179,
1524
+ "nll_loss": 5.9964189529418945,
1525
+ "rewards/accuracies": 0.875,
1526
+ "rewards/chosen": -17.165884017944336,
1527
+ "rewards/margins": 15.676169395446777,
1528
+ "rewards/rejected": -32.84205627441406,
1529
+ "step": 190
1530
+ },
1531
+ {
1532
+ "epoch": 0.3233684210526316,
1533
+ "grad_norm": 308.2898266039604,
1534
+ "learning_rate": 1.6810810350056258e-07,
1535
+ "logits/chosen": -6.971872329711914,
1536
+ "logits/rejected": -8.188929557800293,
1537
+ "logps/chosen": -1851.5859375,
1538
+ "logps/rejected": -2194.031982421875,
1539
+ "loss": 0.4115,
1540
+ "nll_loss": 5.3788743019104,
1541
+ "rewards/accuracies": 0.75,
1542
+ "rewards/chosen": -26.422870635986328,
1543
+ "rewards/margins": 6.5016984939575195,
1544
+ "rewards/rejected": -32.92456817626953,
1545
+ "step": 192
1546
+ },
1547
+ {
1548
+ "epoch": 0.32673684210526316,
1549
+ "grad_norm": 412.5565491541735,
1550
+ "learning_rate": 1.672563070641688e-07,
1551
+ "logits/chosen": -7.640994548797607,
1552
+ "logits/rejected": -8.178326606750488,
1553
+ "logps/chosen": -2078.18115234375,
1554
+ "logps/rejected": -2178.9091796875,
1555
+ "loss": 0.2875,
1556
+ "nll_loss": 5.410080432891846,
1557
+ "rewards/accuracies": 0.625,
1558
+ "rewards/chosen": -30.432947158813477,
1559
+ "rewards/margins": 2.4267215728759766,
1560
+ "rewards/rejected": -32.85966873168945,
1561
+ "step": 194
1562
+ },
1563
+ {
1564
+ "epoch": 0.33010526315789473,
1565
+ "grad_norm": 469.2498668087184,
1566
+ "learning_rate": 1.6639550553380816e-07,
1567
+ "logits/chosen": -7.088956356048584,
1568
+ "logits/rejected": -8.258764266967773,
1569
+ "logps/chosen": -1782.86376953125,
1570
+ "logps/rejected": -2211.70703125,
1571
+ "loss": 0.369,
1572
+ "nll_loss": 5.0121073722839355,
1573
+ "rewards/accuracies": 0.875,
1574
+ "rewards/chosen": -26.950332641601562,
1575
+ "rewards/margins": 7.496822357177734,
1576
+ "rewards/rejected": -34.44715118408203,
1577
+ "step": 196
1578
+ },
1579
+ {
1580
+ "epoch": 0.3334736842105263,
1581
+ "grad_norm": 236.59088336990078,
1582
+ "learning_rate": 1.6552581416407916e-07,
1583
+ "logits/chosen": -8.196027755737305,
1584
+ "logits/rejected": -7.7416181564331055,
1585
+ "logps/chosen": -2154.635498046875,
1586
+ "logps/rejected": -2205.575927734375,
1587
+ "loss": 0.3022,
1588
+ "nll_loss": 4.687681198120117,
1589
+ "rewards/accuracies": 0.75,
1590
+ "rewards/chosen": -32.5702018737793,
1591
+ "rewards/margins": 2.931349515914917,
1592
+ "rewards/rejected": -35.501556396484375,
1593
+ "step": 198
1594
+ },
1595
+ {
1596
+ "epoch": 0.3368421052631579,
1597
+ "grad_norm": 413.82963735092727,
1598
+ "learning_rate": 1.6464734939986035e-07,
1599
+ "logits/chosen": -7.169932842254639,
1600
+ "logits/rejected": -8.24282455444336,
1601
+ "logps/chosen": -1997.083984375,
1602
+ "logps/rejected": -2223.7470703125,
1603
+ "loss": 0.3572,
1604
+ "nll_loss": 5.281017303466797,
1605
+ "rewards/accuracies": 1.0,
1606
+ "rewards/chosen": -30.46786117553711,
1607
+ "rewards/margins": 5.10554313659668,
1608
+ "rewards/rejected": -35.573402404785156,
1609
+ "step": 200
1610
+ },
1611
+ {
1612
+ "epoch": 0.34021052631578946,
1613
+ "grad_norm": 415.7728496426865,
1614
+ "learning_rate": 1.637602288607192e-07,
1615
+ "logits/chosen": -6.219871520996094,
1616
+ "logits/rejected": -8.299065589904785,
1617
+ "logps/chosen": -1463.1075439453125,
1618
+ "logps/rejected": -2223.69775390625,
1619
+ "loss": 0.2563,
1620
+ "nll_loss": 5.272424697875977,
1621
+ "rewards/accuracies": 0.875,
1622
+ "rewards/chosen": -20.643104553222656,
1623
+ "rewards/margins": 13.95057487487793,
1624
+ "rewards/rejected": -34.59368133544922,
1625
+ "step": 202
1626
+ },
1627
+ {
1628
+ "epoch": 0.34357894736842104,
1629
+ "grad_norm": 422.85323621204554,
1630
+ "learning_rate": 1.6286457132516383e-07,
1631
+ "logits/chosen": -6.83880615234375,
1632
+ "logits/rejected": -8.385416030883789,
1633
+ "logps/chosen": -1577.858154296875,
1634
+ "logps/rejected": -2194.265869140625,
1635
+ "loss": 0.3599,
1636
+ "nll_loss": 5.622811317443848,
1637
+ "rewards/accuracies": 0.875,
1638
+ "rewards/chosen": -22.948638916015625,
1639
+ "rewards/margins": 11.672065734863281,
1640
+ "rewards/rejected": -34.620704650878906,
1641
+ "step": 204
1642
+ },
1643
+ {
1644
+ "epoch": 0.3469473684210526,
1645
+ "grad_norm": 490.11145097314346,
1646
+ "learning_rate": 1.6196049671473953e-07,
1647
+ "logits/chosen": -7.446739196777344,
1648
+ "logits/rejected": -8.425362586975098,
1649
+ "logps/chosen": -1768.897705078125,
1650
+ "logps/rejected": -2202.29443359375,
1651
+ "loss": 0.2982,
1652
+ "nll_loss": 5.6991496086120605,
1653
+ "rewards/accuracies": 0.75,
1654
+ "rewards/chosen": -28.04994773864746,
1655
+ "rewards/margins": 6.368475914001465,
1656
+ "rewards/rejected": -34.41842269897461,
1657
+ "step": 206
1658
+ },
1659
+ {
1660
+ "epoch": 0.3503157894736842,
1661
+ "grad_norm": 530.9413220874789,
1662
+ "learning_rate": 1.61048126077972e-07,
1663
+ "logits/chosen": -7.343864440917969,
1664
+ "logits/rejected": -8.190047264099121,
1665
+ "logps/chosen": -1754.0421142578125,
1666
+ "logps/rejected": -2148.49072265625,
1667
+ "loss": 0.2674,
1668
+ "nll_loss": 5.666429042816162,
1669
+ "rewards/accuracies": 1.0,
1670
+ "rewards/chosen": -25.846054077148438,
1671
+ "rewards/margins": 8.071301460266113,
1672
+ "rewards/rejected": -33.917354583740234,
1673
+ "step": 208
1674
+ },
1675
+ {
1676
+ "epoch": 0.35368421052631577,
1677
+ "grad_norm": 166.06683989436303,
1678
+ "learning_rate": 1.6012758157416018e-07,
1679
+ "logits/chosen": -7.329439640045166,
1680
+ "logits/rejected": -7.938960075378418,
1681
+ "logps/chosen": -1708.5814208984375,
1682
+ "logps/rejected": -2173.199462890625,
1683
+ "loss": 0.1976,
1684
+ "nll_loss": 5.0503830909729,
1685
+ "rewards/accuracies": 0.875,
1686
+ "rewards/chosen": -24.269054412841797,
1687
+ "rewards/margins": 9.374040603637695,
1688
+ "rewards/rejected": -33.643096923828125,
1689
+ "step": 210
1690
+ },
1691
+ {
1692
+ "epoch": 0.35705263157894734,
1693
+ "grad_norm": 525.5297922097282,
1694
+ "learning_rate": 1.5919898645701988e-07,
1695
+ "logits/chosen": -6.739994049072266,
1696
+ "logits/rejected": -8.293057441711426,
1697
+ "logps/chosen": -1717.248046875,
1698
+ "logps/rejected": -2190.51171875,
1699
+ "loss": 0.4755,
1700
+ "nll_loss": 4.879263877868652,
1701
+ "rewards/accuracies": 0.875,
1702
+ "rewards/chosen": -24.138900756835938,
1703
+ "rewards/margins": 8.57326602935791,
1704
+ "rewards/rejected": -32.71216583251953,
1705
+ "step": 212
1706
+ },
1707
+ {
1708
+ "epoch": 0.3604210526315789,
1709
+ "grad_norm": 548.5346673183018,
1710
+ "learning_rate": 1.5826246505818112e-07,
1711
+ "logits/chosen": -6.99255895614624,
1712
+ "logits/rejected": -8.398011207580566,
1713
+ "logps/chosen": -1611.18701171875,
1714
+ "logps/rejected": -2188.08642578125,
1715
+ "loss": 0.432,
1716
+ "nll_loss": 5.333250999450684,
1717
+ "rewards/accuracies": 0.875,
1718
+ "rewards/chosen": -23.24384880065918,
1719
+ "rewards/margins": 10.111581802368164,
1720
+ "rewards/rejected": -33.355430603027344,
1721
+ "step": 214
1722
+ },
1723
+ {
1724
+ "epoch": 0.36378947368421055,
1725
+ "grad_norm": 185.93773109229338,
1726
+ "learning_rate": 1.573181427705411e-07,
1727
+ "logits/chosen": -7.210558891296387,
1728
+ "logits/rejected": -8.003637313842773,
1729
+ "logps/chosen": -1898.2894287109375,
1730
+ "logps/rejected": -2259.249755859375,
1731
+ "loss": 0.1156,
1732
+ "nll_loss": 5.2748212814331055,
1733
+ "rewards/accuracies": 1.0,
1734
+ "rewards/chosen": -27.62005043029785,
1735
+ "rewards/margins": 6.235610485076904,
1736
+ "rewards/rejected": -33.85565948486328,
1737
+ "step": 216
1738
+ },
1739
+ {
1740
+ "epoch": 0.3671578947368421,
1741
+ "grad_norm": 298.31090901524203,
1742
+ "learning_rate": 1.5636614603147512e-07,
1743
+ "logits/chosen": -7.3358025550842285,
1744
+ "logits/rejected": -8.385098457336426,
1745
+ "logps/chosen": -1998.4923095703125,
1746
+ "logps/rejected": -2187.198486328125,
1747
+ "loss": 0.2525,
1748
+ "nll_loss": 5.315785884857178,
1749
+ "rewards/accuracies": 0.625,
1750
+ "rewards/chosen": -29.09065818786621,
1751
+ "rewards/margins": 3.6531078815460205,
1752
+ "rewards/rejected": -32.74376678466797,
1753
+ "step": 218
1754
+ },
1755
+ {
1756
+ "epoch": 0.3705263157894737,
1757
+ "grad_norm": 377.3450841073725,
1758
+ "learning_rate": 1.5540660230590748e-07,
1759
+ "logits/chosen": -6.510415077209473,
1760
+ "logits/rejected": -8.296943664550781,
1761
+ "logps/chosen": -1665.1639404296875,
1762
+ "logps/rejected": -2214.30078125,
1763
+ "loss": 0.438,
1764
+ "nll_loss": 5.418496131896973,
1765
+ "rewards/accuracies": 1.0,
1766
+ "rewards/chosen": -23.495925903320312,
1767
+ "rewards/margins": 10.108709335327148,
1768
+ "rewards/rejected": -33.604637145996094,
1769
+ "step": 220
1770
+ },
1771
+ {
1772
+ "epoch": 0.3738947368421053,
1773
+ "grad_norm": 443.30578117705613,
1774
+ "learning_rate": 1.5443964006924507e-07,
1775
+ "logits/chosen": -6.681422710418701,
1776
+ "logits/rejected": -8.464709281921387,
1777
+ "logps/chosen": -1588.643310546875,
1778
+ "logps/rejected": -2177.72705078125,
1779
+ "loss": 0.2768,
1780
+ "nll_loss": 6.007861137390137,
1781
+ "rewards/accuracies": 0.75,
1782
+ "rewards/chosen": -23.003562927246094,
1783
+ "rewards/margins": 10.166757583618164,
1784
+ "rewards/rejected": -33.17032241821289,
1785
+ "step": 222
1786
+ },
1787
+ {
1788
+ "epoch": 0.37726315789473686,
1789
+ "grad_norm": 163.54164941613496,
1790
+ "learning_rate": 1.534653887901754e-07,
1791
+ "logits/chosen": -5.698173999786377,
1792
+ "logits/rejected": -8.45270824432373,
1793
+ "logps/chosen": -1357.1298828125,
1794
+ "logps/rejected": -2201.384765625,
1795
+ "loss": 0.1406,
1796
+ "nll_loss": 5.912946701049805,
1797
+ "rewards/accuracies": 1.0,
1798
+ "rewards/chosen": -17.897022247314453,
1799
+ "rewards/margins": 14.996172904968262,
1800
+ "rewards/rejected": -32.8931999206543,
1801
+ "step": 224
1802
+ },
1803
+ {
1804
+ "epoch": 0.38063157894736843,
1805
+ "grad_norm": 319.17016425411697,
1806
+ "learning_rate": 1.5248397891333183e-07,
1807
+ "logits/chosen": -6.813119888305664,
1808
+ "logits/rejected": -8.12168025970459,
1809
+ "logps/chosen": -1691.3763427734375,
1810
+ "logps/rejected": -2194.62646484375,
1811
+ "loss": 0.2993,
1812
+ "nll_loss": 5.037168025970459,
1813
+ "rewards/accuracies": 0.625,
1814
+ "rewards/chosen": -24.049442291259766,
1815
+ "rewards/margins": 8.878725051879883,
1816
+ "rewards/rejected": -32.928165435791016,
1817
+ "step": 226
1818
+ },
1819
+ {
1820
+ "epoch": 0.384,
1821
+ "grad_norm": 284.69578061502773,
1822
+ "learning_rate": 1.51495541841828e-07,
1823
+ "logits/chosen": -6.420520305633545,
1824
+ "logits/rejected": -8.212552070617676,
1825
+ "logps/chosen": -1653.12890625,
1826
+ "logps/rejected": -2208.427734375,
1827
+ "loss": 0.2744,
1828
+ "nll_loss": 5.3444905281066895,
1829
+ "rewards/accuracies": 0.875,
1830
+ "rewards/chosen": -23.33785629272461,
1831
+ "rewards/margins": 9.556280136108398,
1832
+ "rewards/rejected": -32.894134521484375,
1833
+ "step": 228
1834
+ },
1835
+ {
1836
+ "epoch": 0.3873684210526316,
1837
+ "grad_norm": 284.69191132696415,
1838
+ "learning_rate": 1.5050020991966403e-07,
1839
+ "logits/chosen": -6.635988712310791,
1840
+ "logits/rejected": -7.83236837387085,
1841
+ "logps/chosen": -1533.177978515625,
1842
+ "logps/rejected": -2170.71044921875,
1843
+ "loss": 0.1905,
1844
+ "nll_loss": 5.389209270477295,
1845
+ "rewards/accuracies": 1.0,
1846
+ "rewards/chosen": -21.042217254638672,
1847
+ "rewards/margins": 11.956886291503906,
1848
+ "rewards/rejected": -32.99910354614258,
1849
+ "step": 230
1850
+ },
1851
+ {
1852
+ "epoch": 0.39073684210526316,
1853
+ "grad_norm": 733.6966760862421,
1854
+ "learning_rate": 1.4949811641400668e-07,
1855
+ "logits/chosen": -7.570094108581543,
1856
+ "logits/rejected": -7.502762794494629,
1857
+ "logps/chosen": -1841.1671142578125,
1858
+ "logps/rejected": -2136.026611328125,
1859
+ "loss": 0.5221,
1860
+ "nll_loss": 4.983242988586426,
1861
+ "rewards/accuracies": 0.75,
1862
+ "rewards/chosen": -25.91825294494629,
1863
+ "rewards/margins": 6.6433634757995605,
1864
+ "rewards/rejected": -32.561614990234375,
1865
+ "step": 232
1866
+ },
1867
+ {
1868
+ "epoch": 0.39410526315789474,
1869
+ "grad_norm": 188.5369451526676,
1870
+ "learning_rate": 1.484893954973458e-07,
1871
+ "logits/chosen": -6.149730205535889,
1872
+ "logits/rejected": -8.597711563110352,
1873
+ "logps/chosen": -1442.3626708984375,
1874
+ "logps/rejected": -2134.160888671875,
1875
+ "loss": 0.129,
1876
+ "nll_loss": 5.606182098388672,
1877
+ "rewards/accuracies": 0.875,
1878
+ "rewards/chosen": -18.86325454711914,
1879
+ "rewards/margins": 13.016372680664062,
1880
+ "rewards/rejected": -31.879629135131836,
1881
+ "step": 234
1882
+ },
1883
+ {
1884
+ "epoch": 0.3974736842105263,
1885
+ "grad_norm": 305.89732243842866,
1886
+ "learning_rate": 1.4747418222952995e-07,
1887
+ "logits/chosen": -6.757414817810059,
1888
+ "logits/rejected": -8.115114212036133,
1889
+ "logps/chosen": -1697.4263916015625,
1890
+ "logps/rejected": -2184.919921875,
1891
+ "loss": 0.2413,
1892
+ "nll_loss": 5.372623920440674,
1893
+ "rewards/accuracies": 0.875,
1894
+ "rewards/chosen": -22.677663803100586,
1895
+ "rewards/margins": 8.713125228881836,
1896
+ "rewards/rejected": -31.39078712463379,
1897
+ "step": 236
1898
+ },
1899
+ {
1900
+ "epoch": 0.4008421052631579,
1901
+ "grad_norm": 341.4679249212142,
1902
+ "learning_rate": 1.4645261253968259e-07,
1903
+ "logits/chosen": -6.988116264343262,
1904
+ "logits/rejected": -8.155961036682129,
1905
+ "logps/chosen": -1654.0662841796875,
1906
+ "logps/rejected": -2215.248291015625,
1907
+ "loss": 0.2575,
1908
+ "nll_loss": 5.236739158630371,
1909
+ "rewards/accuracies": 1.0,
1910
+ "rewards/chosen": -21.976306915283203,
1911
+ "rewards/margins": 10.24085807800293,
1912
+ "rewards/rejected": -32.2171630859375,
1913
+ "step": 238
1914
+ },
1915
+ {
1916
+ "epoch": 0.40421052631578946,
1917
+ "grad_norm": 132.8280211518827,
1918
+ "learning_rate": 1.454248232080026e-07,
1919
+ "logits/chosen": -7.433531761169434,
1920
+ "logits/rejected": -8.119049072265625,
1921
+ "logps/chosen": -1924.980712890625,
1922
+ "logps/rejected": -2134.167724609375,
1923
+ "loss": 0.2044,
1924
+ "nll_loss": 5.498749256134033,
1925
+ "rewards/accuracies": 0.875,
1926
+ "rewards/chosen": -26.4937801361084,
1927
+ "rewards/margins": 5.2426652908325195,
1928
+ "rewards/rejected": -31.736446380615234,
1929
+ "step": 240
1930
+ },
1931
+ {
1932
+ "epoch": 0.40757894736842104,
1933
+ "grad_norm": 340.2818569766834,
1934
+ "learning_rate": 1.4439095184745024e-07,
1935
+ "logits/chosen": -6.053187370300293,
1936
+ "logits/rejected": -8.49085807800293,
1937
+ "logps/chosen": -1365.32568359375,
1938
+ "logps/rejected": -2177.580078125,
1939
+ "loss": 0.271,
1940
+ "nll_loss": 5.570743083953857,
1941
+ "rewards/accuracies": 0.875,
1942
+ "rewards/chosen": -18.466915130615234,
1943
+ "rewards/margins": 12.624629974365234,
1944
+ "rewards/rejected": -31.09154510498047,
1945
+ "step": 242
1946
+ },
1947
+ {
1948
+ "epoch": 0.4109473684210526,
1949
+ "grad_norm": 214.41734275706338,
1950
+ "learning_rate": 1.4335113688532182e-07,
1951
+ "logits/chosen": -6.56601619720459,
1952
+ "logits/rejected": -8.04720401763916,
1953
+ "logps/chosen": -1554.8018798828125,
1954
+ "logps/rejected": -2144.083251953125,
1955
+ "loss": 0.138,
1956
+ "nll_loss": 5.4142374992370605,
1957
+ "rewards/accuracies": 1.0,
1958
+ "rewards/chosen": -20.857574462890625,
1959
+ "rewards/margins": 11.797863006591797,
1960
+ "rewards/rejected": -32.655433654785156,
1961
+ "step": 244
1962
+ },
1963
+ {
1964
+ "epoch": 0.4143157894736842,
1965
+ "grad_norm": 337.35948463767846,
1966
+ "learning_rate": 1.423055175447155e-07,
1967
+ "logits/chosen": -6.994697570800781,
1968
+ "logits/rejected": -7.979827880859375,
1969
+ "logps/chosen": -1652.507568359375,
1970
+ "logps/rejected": -2181.640625,
1971
+ "loss": 0.329,
1972
+ "nll_loss": 5.518115043640137,
1973
+ "rewards/accuracies": 0.875,
1974
+ "rewards/chosen": -23.70856475830078,
1975
+ "rewards/margins": 8.838756561279297,
1976
+ "rewards/rejected": -32.54732131958008,
1977
+ "step": 246
1978
+ },
1979
+ {
1980
+ "epoch": 0.41768421052631577,
1981
+ "grad_norm": 274.454131527474,
1982
+ "learning_rate": 1.4125423382589048e-07,
1983
+ "logits/chosen": -6.993724346160889,
1984
+ "logits/rejected": -8.257303237915039,
1985
+ "logps/chosen": -1779.2265625,
1986
+ "logps/rejected": -2149.052490234375,
1987
+ "loss": 0.2965,
1988
+ "nll_loss": 5.484703063964844,
1989
+ "rewards/accuracies": 1.0,
1990
+ "rewards/chosen": -24.876686096191406,
1991
+ "rewards/margins": 7.389163970947266,
1992
+ "rewards/rejected": -32.26585006713867,
1993
+ "step": 248
1994
+ },
1995
+ {
1996
+ "epoch": 0.42105263157894735,
1997
+ "grad_norm": 352.35818290838654,
1998
+ "learning_rate": 1.401974264875218e-07,
1999
+ "logits/chosen": -7.193760871887207,
2000
+ "logits/rejected": -8.0586519241333,
2001
+ "logps/chosen": -1831.6397705078125,
2002
+ "logps/rejected": -2227.03857421875,
2003
+ "loss": 0.2662,
2004
+ "nll_loss": 5.117783546447754,
2005
+ "rewards/accuracies": 0.875,
2006
+ "rewards/chosen": -25.96319007873535,
2007
+ "rewards/margins": 6.454355239868164,
2008
+ "rewards/rejected": -32.41754150390625,
2009
+ "step": 250
2010
+ },
2011
+ {
2012
+ "epoch": 0.4244210526315789,
2013
+ "grad_norm": 255.0171256504159,
2014
+ "learning_rate": 1.391352370278541e-07,
2015
+ "logits/chosen": -6.700958728790283,
2016
+ "logits/rejected": -8.45335865020752,
2017
+ "logps/chosen": -1634.654541015625,
2018
+ "logps/rejected": -2221.049072265625,
2019
+ "loss": 0.2647,
2020
+ "nll_loss": 6.0273308753967285,
2021
+ "rewards/accuracies": 0.875,
2022
+ "rewards/chosen": -23.497007369995117,
2023
+ "rewards/margins": 10.51921558380127,
2024
+ "rewards/rejected": -34.0162239074707,
2025
+ "step": 252
2026
+ },
2027
+ {
2028
+ "epoch": 0.42778947368421055,
2029
+ "grad_norm": 481.3772072138439,
2030
+ "learning_rate": 1.3806780766575588e-07,
2031
+ "logits/chosen": -7.795599460601807,
2032
+ "logits/rejected": -8.443253517150879,
2033
+ "logps/chosen": -1971.610107421875,
2034
+ "logps/rejected": -2192.519287109375,
2035
+ "loss": 0.203,
2036
+ "nll_loss": 5.141743183135986,
2037
+ "rewards/accuracies": 0.875,
2038
+ "rewards/chosen": -28.521339416503906,
2039
+ "rewards/margins": 5.977480888366699,
2040
+ "rewards/rejected": -34.49882125854492,
2041
+ "step": 254
2042
+ },
2043
+ {
2044
+ "epoch": 0.43115789473684213,
2045
+ "grad_norm": 451.03866242263535,
2046
+ "learning_rate": 1.3699528132167776e-07,
2047
+ "logits/chosen": -7.792696475982666,
2048
+ "logits/rejected": -7.79255485534668,
2049
+ "logps/chosen": -1888.9193115234375,
2050
+ "logps/rejected": -2135.4482421875,
2051
+ "loss": 0.3684,
2052
+ "nll_loss": 4.749884128570557,
2053
+ "rewards/accuracies": 0.875,
2054
+ "rewards/chosen": -26.909269332885742,
2055
+ "rewards/margins": 6.3855719566345215,
2056
+ "rewards/rejected": -33.29484176635742,
2057
+ "step": 256
2058
+ },
2059
+ {
2060
+ "epoch": 0.4345263157894737,
2061
+ "grad_norm": 242.47130951413612,
2062
+ "learning_rate": 1.3591780159851627e-07,
2063
+ "logits/chosen": -6.771208763122559,
2064
+ "logits/rejected": -8.258780479431152,
2065
+ "logps/chosen": -1740.8980712890625,
2066
+ "logps/rejected": -2198.968994140625,
2067
+ "loss": 0.1598,
2068
+ "nll_loss": 5.290096759796143,
2069
+ "rewards/accuracies": 1.0,
2070
+ "rewards/chosen": -24.707876205444336,
2071
+ "rewards/margins": 9.988024711608887,
2072
+ "rewards/rejected": -34.695899963378906,
2073
+ "step": 258
2074
+ },
2075
+ {
2076
+ "epoch": 0.4378947368421053,
2077
+ "grad_norm": 499.1497771210561,
2078
+ "learning_rate": 1.3483551276238686e-07,
2079
+ "logits/chosen": -6.881796836853027,
2080
+ "logits/rejected": -8.311073303222656,
2081
+ "logps/chosen": -1801.54443359375,
2082
+ "logps/rejected": -2261.04150390625,
2083
+ "loss": 0.5297,
2084
+ "nll_loss": 4.906632900238037,
2085
+ "rewards/accuracies": 1.0,
2086
+ "rewards/chosen": -25.078868865966797,
2087
+ "rewards/margins": 9.138972282409668,
2088
+ "rewards/rejected": -34.217838287353516,
2089
+ "step": 260
2090
+ },
2091
+ {
2092
+ "epoch": 0.44126315789473686,
2093
+ "grad_norm": 340.10309787989286,
2094
+ "learning_rate": 1.3374855972330756e-07,
2095
+ "logits/chosen": -7.035615921020508,
2096
+ "logits/rejected": -8.248941421508789,
2097
+ "logps/chosen": -1872.8837890625,
2098
+ "logps/rejected": -2217.878173828125,
2099
+ "loss": 0.306,
2100
+ "nll_loss": 5.385906219482422,
2101
+ "rewards/accuracies": 1.0,
2102
+ "rewards/chosen": -26.4267520904541,
2103
+ "rewards/margins": 7.073578357696533,
2104
+ "rewards/rejected": -33.500328063964844,
2105
+ "step": 262
2106
+ },
2107
+ {
2108
+ "epoch": 0.44463157894736843,
2109
+ "grad_norm": 225.67805816583055,
2110
+ "learning_rate": 1.3265708801579666e-07,
2111
+ "logits/chosen": -6.937837600708008,
2112
+ "logits/rejected": -8.376426696777344,
2113
+ "logps/chosen": -1765.403076171875,
2114
+ "logps/rejected": -2198.61767578125,
2115
+ "loss": 0.1877,
2116
+ "nll_loss": 5.633481502532959,
2117
+ "rewards/accuracies": 0.875,
2118
+ "rewards/chosen": -25.389394760131836,
2119
+ "rewards/margins": 7.419838905334473,
2120
+ "rewards/rejected": -32.80923080444336,
2121
+ "step": 264
2122
+ },
2123
+ {
2124
+ "epoch": 0.448,
2125
+ "grad_norm": 91.96492729058454,
2126
+ "learning_rate": 1.3156124377938697e-07,
2127
+ "logits/chosen": -7.8583831787109375,
2128
+ "logits/rejected": -8.153332710266113,
2129
+ "logps/chosen": -2142.6328125,
2130
+ "logps/rejected": -2167.61376953125,
2131
+ "loss": 0.2784,
2132
+ "nll_loss": 4.982174396514893,
2133
+ "rewards/accuracies": 0.875,
2134
+ "rewards/chosen": -30.6492919921875,
2135
+ "rewards/margins": 2.7910072803497314,
2136
+ "rewards/rejected": -33.4402961730957,
2137
+ "step": 266
2138
+ },
2139
+ {
2140
+ "epoch": 0.4513684210526316,
2141
+ "grad_norm": 199.4223395992786,
2142
+ "learning_rate": 1.3046117373905865e-07,
2143
+ "logits/chosen": -6.933570861816406,
2144
+ "logits/rejected": -8.099403381347656,
2145
+ "logps/chosen": -1728.806396484375,
2146
+ "logps/rejected": -2209.177734375,
2147
+ "loss": 0.0685,
2148
+ "nll_loss": 5.4580488204956055,
2149
+ "rewards/accuracies": 1.0,
2150
+ "rewards/chosen": -23.95172882080078,
2151
+ "rewards/margins": 10.292177200317383,
2152
+ "rewards/rejected": -34.2439079284668,
2153
+ "step": 268
2154
+ },
2155
+ {
2156
+ "epoch": 0.45473684210526316,
2157
+ "grad_norm": 216.84232462782722,
2158
+ "learning_rate": 1.2935702518559397e-07,
2159
+ "logits/chosen": -7.183603763580322,
2160
+ "logits/rejected": -8.098438262939453,
2161
+ "logps/chosen": -1903.0699462890625,
2162
+ "logps/rejected": -2204.51904296875,
2163
+ "loss": 0.2503,
2164
+ "nll_loss": 5.397114276885986,
2165
+ "rewards/accuracies": 0.625,
2166
+ "rewards/chosen": -27.064674377441406,
2167
+ "rewards/margins": 5.608869552612305,
2168
+ "rewards/rejected": -32.673545837402344,
2169
+ "step": 270
2170
+ },
2171
+ {
2172
+ "epoch": 0.45810526315789474,
2173
+ "grad_norm": 380.9095200963084,
2174
+ "learning_rate": 1.2824894595585636e-07,
2175
+ "logits/chosen": -6.462231636047363,
2176
+ "logits/rejected": -8.369811058044434,
2177
+ "logps/chosen": -1741.0838623046875,
2178
+ "logps/rejected": -2199.78466796875,
2179
+ "loss": 0.2068,
2180
+ "nll_loss": 6.009423732757568,
2181
+ "rewards/accuracies": 0.75,
2182
+ "rewards/chosen": -26.056018829345703,
2183
+ "rewards/margins": 7.744605541229248,
2184
+ "rewards/rejected": -33.80062484741211,
2185
+ "step": 272
2186
+ },
2187
+ {
2188
+ "epoch": 0.4614736842105263,
2189
+ "grad_norm": 137.60298699973777,
2190
+ "learning_rate": 1.27137084412996e-07,
2191
+ "logits/chosen": -6.126290321350098,
2192
+ "logits/rejected": -8.357515335083008,
2193
+ "logps/chosen": -1254.0537109375,
2194
+ "logps/rejected": -2182.109130859375,
2195
+ "loss": 0.1443,
2196
+ "nll_loss": 5.386259078979492,
2197
+ "rewards/accuracies": 1.0,
2198
+ "rewards/chosen": -17.421083450317383,
2199
+ "rewards/margins": 17.08145523071289,
2200
+ "rewards/rejected": -34.50253677368164,
2201
+ "step": 274
2202
+ },
2203
+ {
2204
+ "epoch": 0.4648421052631579,
2205
+ "grad_norm": 238.72881941389062,
2206
+ "learning_rate": 1.260215894265852e-07,
2207
+ "logits/chosen": -6.577013969421387,
2208
+ "logits/rejected": -8.490443229675293,
2209
+ "logps/chosen": -1655.7412109375,
2210
+ "logps/rejected": -2204.900390625,
2211
+ "loss": 0.2314,
2212
+ "nll_loss": 5.632746696472168,
2213
+ "rewards/accuracies": 1.0,
2214
+ "rewards/chosen": -23.928146362304688,
2215
+ "rewards/margins": 11.161284446716309,
2216
+ "rewards/rejected": -35.08943176269531,
2217
+ "step": 276
2218
+ },
2219
+ {
2220
+ "epoch": 0.46821052631578947,
2221
+ "grad_norm": 205.0849481007809,
2222
+ "learning_rate": 1.2490261035268613e-07,
2223
+ "logits/chosen": -7.492171287536621,
2224
+ "logits/rejected": -8.131207466125488,
2225
+ "logps/chosen": -1958.902099609375,
2226
+ "logps/rejected": -2155.704345703125,
2227
+ "loss": 0.1155,
2228
+ "nll_loss": 5.272936820983887,
2229
+ "rewards/accuracies": 1.0,
2230
+ "rewards/chosen": -30.05508804321289,
2231
+ "rewards/margins": 5.22835111618042,
2232
+ "rewards/rejected": -35.2834358215332,
2233
+ "step": 278
2234
+ },
2235
+ {
2236
+ "epoch": 0.47157894736842104,
2237
+ "grad_norm": 226.262655032818,
2238
+ "learning_rate": 1.2378029701385286e-07,
2239
+ "logits/chosen": -6.374780178070068,
2240
+ "logits/rejected": -8.473326683044434,
2241
+ "logps/chosen": -1493.491455078125,
2242
+ "logps/rejected": -2233.69140625,
2243
+ "loss": 0.1602,
2244
+ "nll_loss": 5.51650333404541,
2245
+ "rewards/accuracies": 0.875,
2246
+ "rewards/chosen": -22.54718017578125,
2247
+ "rewards/margins": 13.27789306640625,
2248
+ "rewards/rejected": -35.8250732421875,
2249
+ "step": 280
2250
+ },
2251
+ {
2252
+ "epoch": 0.4749473684210526,
2253
+ "grad_norm": 304.14594820990135,
2254
+ "learning_rate": 1.2265479967907158e-07,
2255
+ "logits/chosen": -7.050374507904053,
2256
+ "logits/rejected": -8.2347412109375,
2257
+ "logps/chosen": -1850.6962890625,
2258
+ "logps/rejected": -2199.18798828125,
2259
+ "loss": 0.3842,
2260
+ "nll_loss": 5.64528226852417,
2261
+ "rewards/accuracies": 0.875,
2262
+ "rewards/chosen": -28.668458938598633,
2263
+ "rewards/margins": 7.283104419708252,
2264
+ "rewards/rejected": -35.95156478881836,
2265
+ "step": 282
2266
+ },
2267
+ {
2268
+ "epoch": 0.4783157894736842,
2269
+ "grad_norm": 250.05279911200753,
2270
+ "learning_rate": 1.2152626904364064e-07,
2271
+ "logits/chosen": -6.778600215911865,
2272
+ "logits/rejected": -8.34770679473877,
2273
+ "logps/chosen": -1604.2724609375,
2274
+ "logps/rejected": -2214.350830078125,
2275
+ "loss": 0.1214,
2276
+ "nll_loss": 5.6927690505981445,
2277
+ "rewards/accuracies": 1.0,
2278
+ "rewards/chosen": -24.976463317871094,
2279
+ "rewards/margins": 11.123945236206055,
2280
+ "rewards/rejected": -36.10041046142578,
2281
+ "step": 284
2282
+ },
2283
+ {
2284
+ "epoch": 0.48168421052631577,
2285
+ "grad_norm": 49.88924745592731,
2286
+ "learning_rate": 1.2039485620899367e-07,
2287
+ "logits/chosen": -7.990779876708984,
2288
+ "logits/rejected": -7.396949291229248,
2289
+ "logps/chosen": -2097.546142578125,
2290
+ "logps/rejected": -2177.14501953125,
2291
+ "loss": 0.092,
2292
+ "nll_loss": 5.315004348754883,
2293
+ "rewards/accuracies": 0.875,
2294
+ "rewards/chosen": -33.4441032409668,
2295
+ "rewards/margins": 4.195204734802246,
2296
+ "rewards/rejected": -37.63930892944336,
2297
+ "step": 286
2298
+ },
2299
+ {
2300
+ "epoch": 0.48505263157894735,
2301
+ "grad_norm": 298.7045075195552,
2302
+ "learning_rate": 1.1926071266246824e-07,
2303
+ "logits/chosen": -7.262898921966553,
2304
+ "logits/rejected": -7.93293571472168,
2305
+ "logps/chosen": -1817.0556640625,
2306
+ "logps/rejected": -2241.826904296875,
2307
+ "loss": 0.378,
2308
+ "nll_loss": 5.347080230712891,
2309
+ "rewards/accuracies": 0.875,
2310
+ "rewards/chosen": -29.16703224182129,
2311
+ "rewards/margins": 7.644922733306885,
2312
+ "rewards/rejected": -36.81195831298828,
2313
+ "step": 288
2314
+ },
2315
+ {
2316
+ "epoch": 0.4884210526315789,
2317
+ "grad_norm": 305.83167858317097,
2318
+ "learning_rate": 1.1812399025702289e-07,
2319
+ "logits/chosen": -7.386429309844971,
2320
+ "logits/rejected": -7.993374347686768,
2321
+ "logps/chosen": -1947.408935546875,
2322
+ "logps/rejected": -2193.298583984375,
2323
+ "loss": 0.2834,
2324
+ "nll_loss": 5.327097415924072,
2325
+ "rewards/accuracies": 0.75,
2326
+ "rewards/chosen": -30.927370071411133,
2327
+ "rewards/margins": 5.908793926239014,
2328
+ "rewards/rejected": -36.83616256713867,
2329
+ "step": 290
2330
+ },
2331
+ {
2332
+ "epoch": 0.4917894736842105,
2333
+ "grad_norm": 457.2760039079243,
2334
+ "learning_rate": 1.1698484119090518e-07,
2335
+ "logits/chosen": -7.0947346687316895,
2336
+ "logits/rejected": -8.351741790771484,
2337
+ "logps/chosen": -1785.537353515625,
2338
+ "logps/rejected": -2246.34912109375,
2339
+ "loss": 0.2948,
2340
+ "nll_loss": 5.337271213531494,
2341
+ "rewards/accuracies": 0.875,
2342
+ "rewards/chosen": -28.525087356567383,
2343
+ "rewards/margins": 9.390640258789062,
2344
+ "rewards/rejected": -37.91572952270508,
2345
+ "step": 292
2346
+ },
2347
+ {
2348
+ "epoch": 0.49515789473684213,
2349
+ "grad_norm": 296.42125851564697,
2350
+ "learning_rate": 1.1584341798727364e-07,
2351
+ "logits/chosen": -6.732482433319092,
2352
+ "logits/rejected": -8.335723876953125,
2353
+ "logps/chosen": -1633.8388671875,
2354
+ "logps/rejected": -2277.510498046875,
2355
+ "loss": 0.2649,
2356
+ "nll_loss": 5.798310279846191,
2357
+ "rewards/accuracies": 0.875,
2358
+ "rewards/chosen": -25.833433151245117,
2359
+ "rewards/margins": 11.791748046875,
2360
+ "rewards/rejected": -37.62518310546875,
2361
+ "step": 294
2362
+ },
2363
+ {
2364
+ "epoch": 0.4985263157894737,
2365
+ "grad_norm": 439.27146717605046,
2366
+ "learning_rate": 1.1469987347377601e-07,
2367
+ "logits/chosen": -7.6690354347229,
2368
+ "logits/rejected": -7.856517791748047,
2369
+ "logps/chosen": -2050.155029296875,
2370
+ "logps/rejected": -2208.57666015625,
2371
+ "loss": 0.3627,
2372
+ "nll_loss": 5.227299213409424,
2373
+ "rewards/accuracies": 0.875,
2374
+ "rewards/chosen": -33.6103515625,
2375
+ "rewards/margins": 2.915879249572754,
2376
+ "rewards/rejected": -36.52622985839844,
2377
+ "step": 296
2378
+ },
2379
+ {
2380
+ "epoch": 0.5018947368421053,
2381
+ "grad_norm": 318.9522275161282,
2382
+ "learning_rate": 1.1355436076208687e-07,
2383
+ "logits/chosen": -7.616082668304443,
2384
+ "logits/rejected": -8.118494033813477,
2385
+ "logps/chosen": -1956.5233154296875,
2386
+ "logps/rejected": -2223.263916015625,
2387
+ "loss": 0.2973,
2388
+ "nll_loss": 5.363955497741699,
2389
+ "rewards/accuracies": 0.75,
2390
+ "rewards/chosen": -32.195335388183594,
2391
+ "rewards/margins": 5.070850849151611,
2392
+ "rewards/rejected": -37.26618576049805,
2393
+ "step": 298
2394
+ },
2395
+ {
2396
+ "epoch": 0.5052631578947369,
2397
+ "grad_norm": 141.04978897095168,
2398
+ "learning_rate": 1.124070332274071e-07,
2399
+ "logits/chosen": -7.996880054473877,
2400
+ "logits/rejected": -8.085912704467773,
2401
+ "logps/chosen": -2062.050537109375,
2402
+ "logps/rejected": -2186.66162109375,
2403
+ "loss": 0.0746,
2404
+ "nll_loss": 5.05142879486084,
2405
+ "rewards/accuracies": 0.875,
2406
+ "rewards/chosen": -33.29553985595703,
2407
+ "rewards/margins": 4.88584041595459,
2408
+ "rewards/rejected": -38.18138122558594,
2409
+ "step": 300
2410
+ }
2411
+ ],
2412
+ "logging_steps": 2,
2413
+ "max_steps": 593,
2414
+ "num_input_tokens_seen": 0,
2415
+ "num_train_epochs": 1,
2416
+ "save_steps": 50,
2417
+ "stateful_callbacks": {
2418
+ "TrainerControl": {
2419
+ "args": {
2420
+ "should_epoch_stop": false,
2421
+ "should_evaluate": false,
2422
+ "should_log": false,
2423
+ "should_save": true,
2424
+ "should_training_stop": false
2425
+ },
2426
+ "attributes": {}
2427
+ }
2428
+ },
2429
+ "total_flos": 0.0,
2430
+ "train_batch_size": 1,
2431
+ "trial_name": null,
2432
+ "trial_params": null
2433
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ccb9c9ebe5dcfc632fe17ac20bb592b17d8b5492251210177d70f8cbd4547c4
3
+ size 6200