Jennny commited on
Commit
a7d2f4f
·
verified ·
1 Parent(s): 2680fe5

upload checkpoint-450 to repo root

Browse files
config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "meta-llama/Llama-3.1-8B",
3
+ "architectures": [
4
+ "LlamaForSequenceClassification"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 128000,
9
+ "eos_token_id": 128001,
10
+ "head_dim": 128,
11
+ "hidden_act": "silu",
12
+ "hidden_size": 4096,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 14336,
15
+ "max_position_embeddings": 131072,
16
+ "mlp_bias": false,
17
+ "model_type": "llama",
18
+ "num_attention_heads": 32,
19
+ "num_hidden_layers": 32,
20
+ "num_key_value_heads": 8,
21
+ "pad_token_id": 128001,
22
+ "pretraining_tp": 1,
23
+ "problem_type": "single_label_classification",
24
+ "rms_norm_eps": 1e-05,
25
+ "rope_scaling": {
26
+ "factor": 8.0,
27
+ "high_freq_factor": 4.0,
28
+ "low_freq_factor": 1.0,
29
+ "original_max_position_embeddings": 8192,
30
+ "rope_type": "llama3"
31
+ },
32
+ "rope_theta": 500000.0,
33
+ "tie_word_embeddings": false,
34
+ "torch_dtype": "bfloat16",
35
+ "transformers_version": "4.49.0",
36
+ "use_cache": true,
37
+ "vocab_size": 128256
38
+ }
model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9b11b9198fba7e9aab152d05bfac78cf959665b4edf32bcf3751d75882ec1187
3
+ size 4976698672
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f95b1492bc416003fb4c6e71af34a359bfc8e1de7800724928c6ed069d79033b
3
+ size 4999802720
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:20097b9c2f7d511f79a80344201f4b11ab0cc7a2f9bf6194409e07a460f6b38d
3
+ size 4915916176
model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:136a54cbed8574a15c0e48fe15122037b78e5624fdbe226097f58339875d02cd
3
+ size 117482016
model.safetensors.index.json ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 15009865728
4
+ },
5
+ "weight_map": {
6
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
7
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
8
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
17
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
19
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
26
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
27
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
28
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
29
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
30
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
31
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
32
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
38
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
41
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
43
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
50
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
53
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
55
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
62
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
65
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
67
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
74
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
77
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
79
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
86
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
89
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
91
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
98
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
101
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
103
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
108
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
109
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
110
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
111
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
112
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
113
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
115
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
116
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
117
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
118
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
119
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
120
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
121
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
122
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
123
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
124
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
125
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
126
+ "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
127
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
128
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
129
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
130
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
131
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
132
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
133
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
134
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
135
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
136
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
137
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
138
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
139
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
140
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
141
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
142
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
143
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
144
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
145
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
146
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
147
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
148
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
149
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
150
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
151
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
152
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
153
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
154
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
155
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
156
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
157
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
158
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
159
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
160
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
161
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
162
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
163
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
164
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
165
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
166
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
167
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
168
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
169
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
170
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
171
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
172
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
173
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
174
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
175
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
182
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
183
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
184
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
185
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
186
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
187
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
188
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
194
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
197
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
199
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
206
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
209
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
211
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
215
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
216
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
217
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
218
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
219
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
220
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
221
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
222
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
223
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
224
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
225
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
226
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
228
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
229
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
230
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.31.input_layernorm.weight": "model-00004-of-00004.safetensors",
233
+ "model.layers.31.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
234
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
235
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
236
+ "model.layers.31.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
237
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
238
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
239
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
240
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
241
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
242
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
243
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
244
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
245
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
246
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
247
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
248
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
249
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
250
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
251
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
252
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
253
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
254
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
255
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
256
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
257
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
258
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
259
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
260
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
261
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
262
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
266
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
267
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
269
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
270
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
271
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
272
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
273
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
274
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
275
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
276
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
277
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
278
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
279
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
280
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
281
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
282
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
283
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
284
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
285
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
286
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
287
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
288
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
289
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
290
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
291
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
292
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
293
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
294
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
295
+ "model.norm.weight": "model-00004-of-00004.safetensors",
296
+ "score.weight": "model-00004-of-00004.safetensors"
297
+ }
298
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c5afa5b7938904f147f347d2aa5009c9b57e6cb1c46fa4c7266c8166985fe830
3
+ size 30019986218
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5edb34d031c0c2b447f3eaadb401a4c1e7e7e6d8c096e28b7092e01a8bd48c92
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:36de27e193a80f0f00bd1b567f2c2ea17a1d741ab7905d512a42d54f54b38aa0
3
+ size 1064
trainer_state.json ADDED
@@ -0,0 +1,465 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.7169117647058824,
3
+ "best_model_checkpoint": "./llama_acc_reward_model_5e6-bz32/checkpoint-450",
4
+ "epoch": 1.4657980456026058,
5
+ "eval_steps": 50,
6
+ "global_step": 450,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.03257328990228013,
13
+ "grad_norm": 276.0,
14
+ "learning_rate": 5.376344086021506e-07,
15
+ "loss": 1.7786,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.06514657980456026,
20
+ "grad_norm": 237.0,
21
+ "learning_rate": 1.0752688172043011e-06,
22
+ "loss": 1.3394,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.09771986970684039,
27
+ "grad_norm": 138.0,
28
+ "learning_rate": 1.6129032258064516e-06,
29
+ "loss": 1.1228,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.13029315960912052,
34
+ "grad_norm": 143.0,
35
+ "learning_rate": 2.1505376344086023e-06,
36
+ "loss": 0.7784,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.16286644951140064,
41
+ "grad_norm": 116.5,
42
+ "learning_rate": 2.688172043010753e-06,
43
+ "loss": 0.7774,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.16286644951140064,
48
+ "eval_accuracy": 0.6102941176470589,
49
+ "eval_auc": 0.6131436599929752,
50
+ "eval_f1": 0.6927536231884058,
51
+ "eval_loss": 0.7961235046386719,
52
+ "eval_precision": 0.6547945205479452,
53
+ "eval_recall": 0.7353846153846154,
54
+ "eval_runtime": 37.3762,
55
+ "eval_samples_per_second": 14.555,
56
+ "eval_steps_per_second": 0.241,
57
+ "step": 50
58
+ },
59
+ {
60
+ "epoch": 0.19543973941368079,
61
+ "grad_norm": 78.5,
62
+ "learning_rate": 3.225806451612903e-06,
63
+ "loss": 0.6943,
64
+ "step": 60
65
+ },
66
+ {
67
+ "epoch": 0.2280130293159609,
68
+ "grad_norm": 85.5,
69
+ "learning_rate": 3.763440860215054e-06,
70
+ "loss": 0.6675,
71
+ "step": 70
72
+ },
73
+ {
74
+ "epoch": 0.26058631921824105,
75
+ "grad_norm": 55.0,
76
+ "learning_rate": 4.3010752688172045e-06,
77
+ "loss": 0.6086,
78
+ "step": 80
79
+ },
80
+ {
81
+ "epoch": 0.2931596091205212,
82
+ "grad_norm": 68.5,
83
+ "learning_rate": 4.838709677419355e-06,
84
+ "loss": 0.6427,
85
+ "step": 90
86
+ },
87
+ {
88
+ "epoch": 0.3257328990228013,
89
+ "grad_norm": 40.75,
90
+ "learning_rate": 4.999118302447079e-06,
91
+ "loss": 0.6428,
92
+ "step": 100
93
+ },
94
+ {
95
+ "epoch": 0.3257328990228013,
96
+ "eval_accuracy": 0.6838235294117647,
97
+ "eval_auc": 0.7088092729188622,
98
+ "eval_f1": 0.7700534759358288,
99
+ "eval_loss": 0.7112210988998413,
100
+ "eval_precision": 0.6808510638297872,
101
+ "eval_recall": 0.8861538461538462,
102
+ "eval_runtime": 37.3678,
103
+ "eval_samples_per_second": 14.558,
104
+ "eval_steps_per_second": 0.241,
105
+ "step": 100
106
+ },
107
+ {
108
+ "epoch": 0.3583061889250814,
109
+ "grad_norm": 131.0,
110
+ "learning_rate": 4.994801280902408e-06,
111
+ "loss": 0.7228,
112
+ "step": 110
113
+ },
114
+ {
115
+ "epoch": 0.39087947882736157,
116
+ "grad_norm": 76.5,
117
+ "learning_rate": 4.986893197145238e-06,
118
+ "loss": 0.764,
119
+ "step": 120
120
+ },
121
+ {
122
+ "epoch": 0.4234527687296417,
123
+ "grad_norm": 87.0,
124
+ "learning_rate": 4.9754054342147574e-06,
125
+ "loss": 0.6319,
126
+ "step": 130
127
+ },
128
+ {
129
+ "epoch": 0.4560260586319218,
130
+ "grad_norm": 39.25,
131
+ "learning_rate": 4.960354527805286e-06,
132
+ "loss": 0.6535,
133
+ "step": 140
134
+ },
135
+ {
136
+ "epoch": 0.48859934853420195,
137
+ "grad_norm": 34.25,
138
+ "learning_rate": 4.941762142464491e-06,
139
+ "loss": 0.6484,
140
+ "step": 150
141
+ },
142
+ {
143
+ "epoch": 0.48859934853420195,
144
+ "eval_accuracy": 0.6985294117647058,
145
+ "eval_auc": 0.735461889708465,
146
+ "eval_f1": 0.7530120481927711,
147
+ "eval_loss": 0.609675407409668,
148
+ "eval_precision": 0.7374631268436578,
149
+ "eval_recall": 0.7692307692307693,
150
+ "eval_runtime": 37.2896,
151
+ "eval_samples_per_second": 14.589,
152
+ "eval_steps_per_second": 0.241,
153
+ "step": 150
154
+ },
155
+ {
156
+ "epoch": 0.5211726384364821,
157
+ "grad_norm": 78.5,
158
+ "learning_rate": 4.919655040409046e-06,
159
+ "loss": 0.6814,
160
+ "step": 160
161
+ },
162
+ {
163
+ "epoch": 0.5537459283387622,
164
+ "grad_norm": 56.0,
165
+ "learning_rate": 4.894065043002611e-06,
166
+ "loss": 0.5881,
167
+ "step": 170
168
+ },
169
+ {
170
+ "epoch": 0.5863192182410424,
171
+ "grad_norm": 60.25,
172
+ "learning_rate": 4.865028984951585e-06,
173
+ "loss": 0.6118,
174
+ "step": 180
175
+ },
176
+ {
177
+ "epoch": 0.6188925081433225,
178
+ "grad_norm": 46.5,
179
+ "learning_rate": 4.8325886612845586e-06,
180
+ "loss": 0.6507,
181
+ "step": 190
182
+ },
183
+ {
184
+ "epoch": 0.6514657980456026,
185
+ "grad_norm": 37.75,
186
+ "learning_rate": 4.7967907671917975e-06,
187
+ "loss": 0.5939,
188
+ "step": 200
189
+ },
190
+ {
191
+ "epoch": 0.6514657980456026,
192
+ "eval_accuracy": 0.7058823529411765,
193
+ "eval_auc": 0.7496803652968036,
194
+ "eval_f1": 0.7759103641456583,
195
+ "eval_loss": 0.6006419062614441,
196
+ "eval_precision": 0.712082262210797,
197
+ "eval_recall": 0.8523076923076923,
198
+ "eval_runtime": 37.4203,
199
+ "eval_samples_per_second": 14.538,
200
+ "eval_steps_per_second": 0.241,
201
+ "step": 200
202
+ },
203
+ {
204
+ "epoch": 0.6840390879478827,
205
+ "grad_norm": 25.875,
206
+ "learning_rate": 4.757686830811332e-06,
207
+ "loss": 0.568,
208
+ "step": 210
209
+ },
210
+ {
211
+ "epoch": 0.7166123778501629,
212
+ "grad_norm": 89.5,
213
+ "learning_rate": 4.715333139058425e-06,
214
+ "loss": 0.5802,
215
+ "step": 220
216
+ },
217
+ {
218
+ "epoch": 0.749185667752443,
219
+ "grad_norm": 144.0,
220
+ "learning_rate": 4.669790656605166e-06,
221
+ "loss": 0.5957,
222
+ "step": 230
223
+ },
224
+ {
225
+ "epoch": 0.7817589576547231,
226
+ "grad_norm": 21.125,
227
+ "learning_rate": 4.621124938126809e-06,
228
+ "loss": 0.5994,
229
+ "step": 240
230
+ },
231
+ {
232
+ "epoch": 0.8143322475570033,
233
+ "grad_norm": 48.75,
234
+ "learning_rate": 4.569406033941194e-06,
235
+ "loss": 0.568,
236
+ "step": 250
237
+ },
238
+ {
239
+ "epoch": 0.8143322475570033,
240
+ "eval_accuracy": 0.7022058823529411,
241
+ "eval_auc": 0.7719494204425712,
242
+ "eval_f1": 0.7387096774193549,
243
+ "eval_loss": 0.5732384920120239,
244
+ "eval_precision": 0.7762711864406779,
245
+ "eval_recall": 0.7046153846153846,
246
+ "eval_runtime": 37.3004,
247
+ "eval_samples_per_second": 14.584,
248
+ "eval_steps_per_second": 0.241,
249
+ "step": 250
250
+ },
251
+ {
252
+ "epoch": 0.8469055374592834,
253
+ "grad_norm": 38.5,
254
+ "learning_rate": 4.514708389177045e-06,
255
+ "loss": 0.5934,
256
+ "step": 260
257
+ },
258
+ {
259
+ "epoch": 0.8794788273615635,
260
+ "grad_norm": 50.5,
261
+ "learning_rate": 4.457110736616297e-06,
262
+ "loss": 0.57,
263
+ "step": 270
264
+ },
265
+ {
266
+ "epoch": 0.9120521172638436,
267
+ "grad_norm": 117.0,
268
+ "learning_rate": 4.396695983364708e-06,
269
+ "loss": 0.6622,
270
+ "step": 280
271
+ },
272
+ {
273
+ "epoch": 0.9446254071661238,
274
+ "grad_norm": 94.0,
275
+ "learning_rate": 4.3335510915138644e-06,
276
+ "loss": 0.6357,
277
+ "step": 290
278
+ },
279
+ {
280
+ "epoch": 0.9771986970684039,
281
+ "grad_norm": 72.0,
282
+ "learning_rate": 4.267766952966369e-06,
283
+ "loss": 0.5478,
284
+ "step": 300
285
+ },
286
+ {
287
+ "epoch": 0.9771986970684039,
288
+ "eval_accuracy": 0.7095588235294118,
289
+ "eval_auc": 0.7645732349841939,
290
+ "eval_f1": 0.7716763005780347,
291
+ "eval_loss": 0.573746919631958,
292
+ "eval_precision": 0.7275204359673024,
293
+ "eval_recall": 0.8215384615384616,
294
+ "eval_runtime": 37.2423,
295
+ "eval_samples_per_second": 14.607,
296
+ "eval_steps_per_second": 0.242,
297
+ "step": 300
298
+ },
299
+ {
300
+ "epoch": 1.009771986970684,
301
+ "grad_norm": 58.75,
302
+ "learning_rate": 4.199438258604389e-06,
303
+ "loss": 0.55,
304
+ "step": 310
305
+ },
306
+ {
307
+ "epoch": 1.0423452768729642,
308
+ "grad_norm": 59.25,
309
+ "learning_rate": 4.128663361989882e-06,
310
+ "loss": 0.4893,
311
+ "step": 320
312
+ },
313
+ {
314
+ "epoch": 1.0749185667752443,
315
+ "grad_norm": 73.0,
316
+ "learning_rate": 4.055544137792695e-06,
317
+ "loss": 0.4861,
318
+ "step": 330
319
+ },
320
+ {
321
+ "epoch": 1.1074918566775245,
322
+ "grad_norm": 31.0,
323
+ "learning_rate": 3.980185835150316e-06,
324
+ "loss": 0.4918,
325
+ "step": 340
326
+ },
327
+ {
328
+ "epoch": 1.1400651465798046,
329
+ "grad_norm": 26.0,
330
+ "learning_rate": 3.90269692617036e-06,
331
+ "loss": 0.4777,
332
+ "step": 350
333
+ },
334
+ {
335
+ "epoch": 1.1400651465798046,
336
+ "eval_accuracy": 0.7132352941176471,
337
+ "eval_auc": 0.7660203723217421,
338
+ "eval_f1": 0.7664670658682635,
339
+ "eval_loss": 0.5785877108573914,
340
+ "eval_precision": 0.7463556851311953,
341
+ "eval_recall": 0.7876923076923077,
342
+ "eval_runtime": 37.3143,
343
+ "eval_samples_per_second": 14.579,
344
+ "eval_steps_per_second": 0.241,
345
+ "step": 350
346
+ },
347
+ {
348
+ "epoch": 1.1726384364820848,
349
+ "grad_norm": 41.25,
350
+ "learning_rate": 3.8231889497938475e-06,
351
+ "loss": 0.434,
352
+ "step": 360
353
+ },
354
+ {
355
+ "epoch": 1.205211726384365,
356
+ "grad_norm": 92.5,
357
+ "learning_rate": 3.741776351244027e-06,
358
+ "loss": 0.5865,
359
+ "step": 370
360
+ },
361
+ {
362
+ "epoch": 1.237785016286645,
363
+ "grad_norm": 101.5,
364
+ "learning_rate": 3.65857631729185e-06,
365
+ "loss": 0.5187,
366
+ "step": 380
367
+ },
368
+ {
369
+ "epoch": 1.2703583061889252,
370
+ "grad_norm": 59.5,
371
+ "learning_rate": 3.5737086075752054e-06,
372
+ "loss": 0.4957,
373
+ "step": 390
374
+ },
375
+ {
376
+ "epoch": 1.3029315960912053,
377
+ "grad_norm": 47.5,
378
+ "learning_rate": 3.4872953822147233e-06,
379
+ "loss": 0.3976,
380
+ "step": 400
381
+ },
382
+ {
383
+ "epoch": 1.3029315960912053,
384
+ "eval_accuracy": 0.7113970588235294,
385
+ "eval_auc": 0.7714155251141552,
386
+ "eval_f1": 0.7773049645390071,
387
+ "eval_loss": 0.5780242085456848,
388
+ "eval_precision": 0.7210526315789474,
389
+ "eval_recall": 0.8430769230769231,
390
+ "eval_runtime": 37.4129,
391
+ "eval_samples_per_second": 14.54,
392
+ "eval_steps_per_second": 0.241,
393
+ "step": 400
394
+ },
395
+ {
396
+ "epoch": 1.3355048859934853,
397
+ "grad_norm": 52.75,
398
+ "learning_rate": 3.3994610259742846e-06,
399
+ "loss": 0.4786,
400
+ "step": 410
401
+ },
402
+ {
403
+ "epoch": 1.3680781758957654,
404
+ "grad_norm": 43.0,
405
+ "learning_rate": 3.310331969219332e-06,
406
+ "loss": 0.5328,
407
+ "step": 420
408
+ },
409
+ {
410
+ "epoch": 1.4006514657980456,
411
+ "grad_norm": 86.5,
412
+ "learning_rate": 3.2200365059307124e-06,
413
+ "loss": 0.4727,
414
+ "step": 430
415
+ },
416
+ {
417
+ "epoch": 1.4332247557003257,
418
+ "grad_norm": 37.0,
419
+ "learning_rate": 3.128704609035994e-06,
420
+ "loss": 0.5302,
421
+ "step": 440
422
+ },
423
+ {
424
+ "epoch": 1.4657980456026058,
425
+ "grad_norm": 57.75,
426
+ "learning_rate": 3.036467743324072e-06,
427
+ "loss": 0.5218,
428
+ "step": 450
429
+ },
430
+ {
431
+ "epoch": 1.4657980456026058,
432
+ "eval_accuracy": 0.7169117647058824,
433
+ "eval_auc": 0.7801404987706358,
434
+ "eval_f1": 0.7735294117647059,
435
+ "eval_loss": 0.5613196492195129,
436
+ "eval_precision": 0.7408450704225352,
437
+ "eval_recall": 0.8092307692307692,
438
+ "eval_runtime": 37.2673,
439
+ "eval_samples_per_second": 14.597,
440
+ "eval_steps_per_second": 0.241,
441
+ "step": 450
442
+ }
443
+ ],
444
+ "logging_steps": 10,
445
+ "max_steps": 921,
446
+ "num_input_tokens_seen": 0,
447
+ "num_train_epochs": 3,
448
+ "save_steps": 50,
449
+ "stateful_callbacks": {
450
+ "TrainerControl": {
451
+ "args": {
452
+ "should_epoch_stop": false,
453
+ "should_evaluate": false,
454
+ "should_log": false,
455
+ "should_save": true,
456
+ "should_training_stop": false
457
+ },
458
+ "attributes": {}
459
+ }
460
+ },
461
+ "total_flos": 9.778493129334129e+17,
462
+ "train_batch_size": 32,
463
+ "trial_name": null,
464
+ "trial_params": null
465
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2dd3e968740b350013ac2cd899143931a17d006b072936c43d040b0837587b51
3
+ size 5368