Jennny commited on
Commit
8add328
·
verified ·
1 Parent(s): 8353340

upload checkpoint-350 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 sha256:43305dd006a332eb4697803c23f299d7a74c020542e2563f94e86c4ba04dda22
3
+ size 4976698672
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:34c564d52329305a1b5560a15d946bc3a46d4c74b05513457c65c64f68f8aecc
3
+ size 4999802720
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e37e83354d9f645610347b83fb5c0cc346e8e57feaf9c86462663dac2aa0054
3
+ size 4915916176
model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7d52f6afd1e6dae898e66f84d6e001fd1ebc65129865e7a044d6544c4bc20472
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 sha256:0e4885a2bba1694a32bdc494d8c2580b960fdeb6dba4d4f397763d72ae0aa158
3
+ size 30019986218
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d245e05e72192c132e0f2edb6fdcae0c578c890f0fe912f17ec7b0bba2d38cc3
3
+ size 14244
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:38161e3d11d22f6df13b2a52c8de1f861363f2f48510382b2db753d881b72061
3
+ size 1064
trainer_state.json ADDED
@@ -0,0 +1,369 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.7266666666666667,
3
+ "best_model_checkpoint": "./llama_reward_model_1e5-bz32/checkpoint-350",
4
+ "epoch": 2.482269503546099,
5
+ "eval_steps": 50,
6
+ "global_step": 350,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.07092198581560284,
13
+ "grad_norm": 388.0,
14
+ "learning_rate": 1.4084507042253523e-06,
15
+ "loss": 2.1268,
16
+ "step": 10
17
+ },
18
+ {
19
+ "epoch": 0.14184397163120568,
20
+ "grad_norm": 219.0,
21
+ "learning_rate": 2.8169014084507046e-06,
22
+ "loss": 0.9385,
23
+ "step": 20
24
+ },
25
+ {
26
+ "epoch": 0.2127659574468085,
27
+ "grad_norm": 247.0,
28
+ "learning_rate": 4.225352112676057e-06,
29
+ "loss": 0.9245,
30
+ "step": 30
31
+ },
32
+ {
33
+ "epoch": 0.28368794326241137,
34
+ "grad_norm": 76.5,
35
+ "learning_rate": 5.633802816901409e-06,
36
+ "loss": 0.7768,
37
+ "step": 40
38
+ },
39
+ {
40
+ "epoch": 0.3546099290780142,
41
+ "grad_norm": 152.0,
42
+ "learning_rate": 7.042253521126761e-06,
43
+ "loss": 0.8706,
44
+ "step": 50
45
+ },
46
+ {
47
+ "epoch": 0.3546099290780142,
48
+ "eval_accuracy": 0.5166666666666667,
49
+ "eval_auc": 0.6492222222222223,
50
+ "eval_f1": 0.6635730858468677,
51
+ "eval_loss": 1.0949409008026123,
52
+ "eval_precision": 0.5088967971530249,
53
+ "eval_recall": 0.9533333333333334,
54
+ "eval_runtime": 21.6558,
55
+ "eval_samples_per_second": 13.853,
56
+ "eval_steps_per_second": 0.231,
57
+ "step": 50
58
+ },
59
+ {
60
+ "epoch": 0.425531914893617,
61
+ "grad_norm": 149.0,
62
+ "learning_rate": 8.450704225352114e-06,
63
+ "loss": 0.866,
64
+ "step": 60
65
+ },
66
+ {
67
+ "epoch": 0.49645390070921985,
68
+ "grad_norm": 112.5,
69
+ "learning_rate": 9.859154929577466e-06,
70
+ "loss": 0.7572,
71
+ "step": 70
72
+ },
73
+ {
74
+ "epoch": 0.5673758865248227,
75
+ "grad_norm": 32.0,
76
+ "learning_rate": 9.995028650728335e-06,
77
+ "loss": 0.8987,
78
+ "step": 80
79
+ },
80
+ {
81
+ "epoch": 0.6382978723404256,
82
+ "grad_norm": 82.0,
83
+ "learning_rate": 9.977856431060221e-06,
84
+ "loss": 0.7988,
85
+ "step": 90
86
+ },
87
+ {
88
+ "epoch": 0.7092198581560284,
89
+ "grad_norm": 148.0,
90
+ "learning_rate": 9.948464112207811e-06,
91
+ "loss": 0.8813,
92
+ "step": 100
93
+ },
94
+ {
95
+ "epoch": 0.7092198581560284,
96
+ "eval_accuracy": 0.6633333333333333,
97
+ "eval_auc": 0.7096444444444445,
98
+ "eval_f1": 0.6007905138339921,
99
+ "eval_loss": 0.6915330290794373,
100
+ "eval_precision": 0.7378640776699029,
101
+ "eval_recall": 0.5066666666666667,
102
+ "eval_runtime": 21.6662,
103
+ "eval_samples_per_second": 13.846,
104
+ "eval_steps_per_second": 0.231,
105
+ "step": 100
106
+ },
107
+ {
108
+ "epoch": 0.7801418439716312,
109
+ "grad_norm": 36.75,
110
+ "learning_rate": 9.906923849135118e-06,
111
+ "loss": 0.7012,
112
+ "step": 110
113
+ },
114
+ {
115
+ "epoch": 0.851063829787234,
116
+ "grad_norm": 26.0,
117
+ "learning_rate": 9.853337618695413e-06,
118
+ "loss": 0.6147,
119
+ "step": 120
120
+ },
121
+ {
122
+ "epoch": 0.9219858156028369,
123
+ "grad_norm": 22.125,
124
+ "learning_rate": 9.78783696928909e-06,
125
+ "loss": 0.5603,
126
+ "step": 130
127
+ },
128
+ {
129
+ "epoch": 0.9929078014184397,
130
+ "grad_norm": 72.5,
131
+ "learning_rate": 9.710582697926562e-06,
132
+ "loss": 0.6269,
133
+ "step": 140
134
+ },
135
+ {
136
+ "epoch": 1.0638297872340425,
137
+ "grad_norm": 129.0,
138
+ "learning_rate": 9.62176445548899e-06,
139
+ "loss": 0.7091,
140
+ "step": 150
141
+ },
142
+ {
143
+ "epoch": 1.0638297872340425,
144
+ "eval_accuracy": 0.6133333333333333,
145
+ "eval_auc": 0.7025777777777777,
146
+ "eval_f1": 0.5126050420168067,
147
+ "eval_loss": 0.7151511907577515,
148
+ "eval_precision": 0.6931818181818182,
149
+ "eval_recall": 0.4066666666666667,
150
+ "eval_runtime": 21.9923,
151
+ "eval_samples_per_second": 13.641,
152
+ "eval_steps_per_second": 0.227,
153
+ "step": 150
154
+ },
155
+ {
156
+ "epoch": 1.1347517730496455,
157
+ "grad_norm": 73.0,
158
+ "learning_rate": 9.521600281155894e-06,
159
+ "loss": 0.5991,
160
+ "step": 160
161
+ },
162
+ {
163
+ "epoch": 1.2056737588652482,
164
+ "grad_norm": 69.0,
165
+ "learning_rate": 9.410336067142525e-06,
166
+ "loss": 0.4835,
167
+ "step": 170
168
+ },
169
+ {
170
+ "epoch": 1.2765957446808511,
171
+ "grad_norm": 27.25,
172
+ "learning_rate": 9.28824495506109e-06,
173
+ "loss": 0.4869,
174
+ "step": 180
175
+ },
176
+ {
177
+ "epoch": 1.3475177304964538,
178
+ "grad_norm": 71.5,
179
+ "learning_rate": 9.155626665387625e-06,
180
+ "loss": 0.4671,
181
+ "step": 190
182
+ },
183
+ {
184
+ "epoch": 1.4184397163120568,
185
+ "grad_norm": 25.875,
186
+ "learning_rate": 9.012806761680642e-06,
187
+ "loss": 0.4129,
188
+ "step": 200
189
+ },
190
+ {
191
+ "epoch": 1.4184397163120568,
192
+ "eval_accuracy": 0.69,
193
+ "eval_auc": 0.7723555555555555,
194
+ "eval_f1": 0.7240356083086054,
195
+ "eval_loss": 0.6506745219230652,
196
+ "eval_precision": 0.6524064171122995,
197
+ "eval_recall": 0.8133333333333334,
198
+ "eval_runtime": 21.8002,
199
+ "eval_samples_per_second": 13.761,
200
+ "eval_steps_per_second": 0.229,
201
+ "step": 200
202
+ },
203
+ {
204
+ "epoch": 1.4893617021276595,
205
+ "grad_norm": 57.25,
206
+ "learning_rate": 8.860135851357803e-06,
207
+ "loss": 0.517,
208
+ "step": 210
209
+ },
210
+ {
211
+ "epoch": 1.5602836879432624,
212
+ "grad_norm": 30.5,
213
+ "learning_rate": 8.697988724992633e-06,
214
+ "loss": 0.4431,
215
+ "step": 220
216
+ },
217
+ {
218
+ "epoch": 1.6312056737588652,
219
+ "grad_norm": 16.0,
220
+ "learning_rate": 8.526763436244184e-06,
221
+ "loss": 0.4721,
222
+ "step": 230
223
+ },
224
+ {
225
+ "epoch": 1.702127659574468,
226
+ "grad_norm": 19.5,
227
+ "learning_rate": 8.346880324678359e-06,
228
+ "loss": 0.4094,
229
+ "step": 240
230
+ },
231
+ {
232
+ "epoch": 1.773049645390071,
233
+ "grad_norm": 114.0,
234
+ "learning_rate": 8.158780983879737e-06,
235
+ "loss": 0.5608,
236
+ "step": 250
237
+ },
238
+ {
239
+ "epoch": 1.773049645390071,
240
+ "eval_accuracy": 0.71,
241
+ "eval_auc": 0.7636,
242
+ "eval_f1": 0.7220447284345048,
243
+ "eval_loss": 0.6192474365234375,
244
+ "eval_precision": 0.6932515337423313,
245
+ "eval_recall": 0.7533333333333333,
246
+ "eval_runtime": 21.9348,
247
+ "eval_samples_per_second": 13.677,
248
+ "eval_steps_per_second": 0.228,
249
+ "step": 250
250
+ },
251
+ {
252
+ "epoch": 1.8439716312056738,
253
+ "grad_norm": 53.25,
254
+ "learning_rate": 7.962927177387085e-06,
255
+ "loss": 0.4805,
256
+ "step": 260
257
+ },
258
+ {
259
+ "epoch": 1.9148936170212765,
260
+ "grad_norm": 9.625,
261
+ "learning_rate": 7.759799705113797e-06,
262
+ "loss": 0.4569,
263
+ "step": 270
264
+ },
265
+ {
266
+ "epoch": 1.9858156028368794,
267
+ "grad_norm": 23.375,
268
+ "learning_rate": 7.54989722303612e-06,
269
+ "loss": 0.5058,
270
+ "step": 280
271
+ },
272
+ {
273
+ "epoch": 2.0567375886524824,
274
+ "grad_norm": 9.75,
275
+ "learning_rate": 7.33373501904665e-06,
276
+ "loss": 0.3455,
277
+ "step": 290
278
+ },
279
+ {
280
+ "epoch": 2.127659574468085,
281
+ "grad_norm": 31.875,
282
+ "learning_rate": 7.111843747978296e-06,
283
+ "loss": 0.3486,
284
+ "step": 300
285
+ },
286
+ {
287
+ "epoch": 2.127659574468085,
288
+ "eval_accuracy": 0.7066666666666667,
289
+ "eval_auc": 0.7925333333333333,
290
+ "eval_f1": 0.7426900584795322,
291
+ "eval_loss": 0.6051149964332581,
292
+ "eval_precision": 0.6614583333333334,
293
+ "eval_recall": 0.8466666666666667,
294
+ "eval_runtime": 21.6917,
295
+ "eval_samples_per_second": 13.83,
296
+ "eval_steps_per_second": 0.231,
297
+ "step": 300
298
+ },
299
+ {
300
+ "epoch": 2.198581560283688,
301
+ "grad_norm": 50.0,
302
+ "learning_rate": 6.884768128904038e-06,
303
+ "loss": 0.33,
304
+ "step": 310
305
+ },
306
+ {
307
+ "epoch": 2.269503546099291,
308
+ "grad_norm": 29.125,
309
+ "learning_rate": 6.653065607910535e-06,
310
+ "loss": 0.356,
311
+ "step": 320
312
+ },
313
+ {
314
+ "epoch": 2.3404255319148937,
315
+ "grad_norm": 15.25,
316
+ "learning_rate": 6.4173049896282525e-06,
317
+ "loss": 0.2589,
318
+ "step": 330
319
+ },
320
+ {
321
+ "epoch": 2.4113475177304964,
322
+ "grad_norm": 15.375,
323
+ "learning_rate": 6.1780650408776214e-06,
324
+ "loss": 0.2613,
325
+ "step": 340
326
+ },
327
+ {
328
+ "epoch": 2.482269503546099,
329
+ "grad_norm": 35.75,
330
+ "learning_rate": 5.9359330698590835e-06,
331
+ "loss": 0.2617,
332
+ "step": 350
333
+ },
334
+ {
335
+ "epoch": 2.482269503546099,
336
+ "eval_accuracy": 0.7266666666666667,
337
+ "eval_auc": 0.7925111111111112,
338
+ "eval_f1": 0.7210884353741497,
339
+ "eval_loss": 0.6037541627883911,
340
+ "eval_precision": 0.7361111111111112,
341
+ "eval_recall": 0.7066666666666667,
342
+ "eval_runtime": 21.8112,
343
+ "eval_samples_per_second": 13.754,
344
+ "eval_steps_per_second": 0.229,
345
+ "step": 350
346
+ }
347
+ ],
348
+ "logging_steps": 10,
349
+ "max_steps": 705,
350
+ "num_input_tokens_seen": 0,
351
+ "num_train_epochs": 5,
352
+ "save_steps": 50,
353
+ "stateful_callbacks": {
354
+ "TrainerControl": {
355
+ "args": {
356
+ "should_epoch_stop": false,
357
+ "should_evaluate": false,
358
+ "should_log": false,
359
+ "should_save": true,
360
+ "should_training_stop": false
361
+ },
362
+ "attributes": {}
363
+ }
364
+ },
365
+ "total_flos": 7.568021622454272e+17,
366
+ "train_batch_size": 32,
367
+ "trial_name": null,
368
+ "trial_params": null
369
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aef4bf873a75c3381619bc484de3173613a391aaac55a07206c963fc0d6140ff
3
+ size 5368