slseanwu commited on
Commit
a1c328d
·
1 Parent(s): 175f818

add weights

Browse files
config.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "deepseek-ai/deepseek-coder-1.3b-instruct",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 32013,
9
+ "eos_token_id": 32021,
10
+ "hidden_act": "silu",
11
+ "hidden_size": 2048,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 5504,
14
+ "max_position_embeddings": 16384,
15
+ "model_type": "llama",
16
+ "num_attention_heads": 16,
17
+ "num_hidden_layers": 24,
18
+ "num_key_value_heads": 16,
19
+ "pretraining_tp": 1,
20
+ "rms_norm_eps": 1e-06,
21
+ "rope_scaling": {
22
+ "factor": 4.0,
23
+ "type": "linear"
24
+ },
25
+ "rope_theta": 100000,
26
+ "tie_word_embeddings": false,
27
+ "torch_dtype": "float32",
28
+ "transformers_version": "4.38.2",
29
+ "use_cache": true,
30
+ "vocab_size": 32256
31
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 32013,
4
+ "eos_token_id": 32021,
5
+ "transformers_version": "4.38.2"
6
+ }
model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9d085ae11acbb30f6ae8ba71e5b665372d41b63b213bbaa58d91d2e3e9a6a4c0
3
+ size 4986380064
model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1b18c82bc20374cd4e3341aff7f364c38a0105d8ea0bf0381f1cfca994f2db16
3
+ size 399532808
model.safetensors.index.json ADDED
@@ -0,0 +1,226 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 5385887744
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.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
14
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
15
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
16
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
17
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
18
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
19
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
20
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
21
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
22
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
23
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
24
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
25
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
26
+ "model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
27
+ "model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
28
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
29
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
30
+ "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
31
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
32
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
33
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
34
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
35
+ "model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
36
+ "model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
37
+ "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
38
+ "model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
39
+ "model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
40
+ "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
41
+ "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
42
+ "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
43
+ "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
44
+ "model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
45
+ "model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
46
+ "model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
47
+ "model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
48
+ "model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
49
+ "model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
50
+ "model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
51
+ "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
52
+ "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
53
+ "model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
54
+ "model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
55
+ "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
56
+ "model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
57
+ "model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
58
+ "model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
59
+ "model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
60
+ "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
61
+ "model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
62
+ "model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
63
+ "model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
64
+ "model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
65
+ "model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
66
+ "model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
67
+ "model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
68
+ "model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
69
+ "model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
70
+ "model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
71
+ "model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
72
+ "model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
73
+ "model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
74
+ "model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
75
+ "model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
76
+ "model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
77
+ "model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
78
+ "model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
79
+ "model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
80
+ "model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
81
+ "model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
82
+ "model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
83
+ "model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
84
+ "model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
85
+ "model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
86
+ "model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
87
+ "model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
88
+ "model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
89
+ "model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
90
+ "model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
91
+ "model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
92
+ "model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
93
+ "model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
94
+ "model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
95
+ "model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
96
+ "model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
97
+ "model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
98
+ "model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
99
+ "model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
100
+ "model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
101
+ "model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
102
+ "model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
103
+ "model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
104
+ "model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
105
+ "model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
106
+ "model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
107
+ "model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
108
+ "model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
109
+ "model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
110
+ "model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
111
+ "model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
112
+ "model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
113
+ "model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
114
+ "model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
115
+ "model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
116
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
117
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
118
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
119
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
120
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
121
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
122
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
123
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
124
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
125
+ "model.layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
126
+ "model.layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
127
+ "model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
128
+ "model.layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
129
+ "model.layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
130
+ "model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
131
+ "model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
132
+ "model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
133
+ "model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
134
+ "model.layers.21.input_layernorm.weight": "model-00001-of-00002.safetensors",
135
+ "model.layers.21.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
136
+ "model.layers.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
137
+ "model.layers.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
138
+ "model.layers.21.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
139
+ "model.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
140
+ "model.layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
141
+ "model.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
142
+ "model.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
143
+ "model.layers.22.input_layernorm.weight": "model-00001-of-00002.safetensors",
144
+ "model.layers.22.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
145
+ "model.layers.22.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
146
+ "model.layers.22.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
147
+ "model.layers.22.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
148
+ "model.layers.22.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
149
+ "model.layers.22.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
150
+ "model.layers.22.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
151
+ "model.layers.22.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
152
+ "model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
153
+ "model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
154
+ "model.layers.23.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
155
+ "model.layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
156
+ "model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
157
+ "model.layers.23.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
158
+ "model.layers.23.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
159
+ "model.layers.23.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
160
+ "model.layers.23.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
161
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
162
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
163
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
164
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
165
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
166
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
167
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
168
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
169
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
170
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
171
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
172
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
173
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
174
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
175
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
176
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
177
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
178
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
179
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
180
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
181
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
182
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
183
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
184
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
185
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
186
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
187
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
188
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
189
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
190
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
191
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
192
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
193
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
194
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
195
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
196
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
197
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
198
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
199
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
200
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
201
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
202
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
203
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
204
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
205
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
206
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
207
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
208
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
209
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
210
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
211
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
212
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
213
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
214
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
215
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
216
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
217
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
218
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
219
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
220
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
221
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
222
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
223
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
224
+ "model.norm.weight": "model-00002-of-00002.safetensors"
225
+ }
226
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0e7116ec3c44460b4bf42fe909f325a24036475503ec4546a035a4d3fc9bfa02
3
+ size 2699039674
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4cfdf25add9773148140a3a3b6f0fcf7ef4379158373e992c4c4adf7ab742b5f
3
+ size 14180
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2fb09f89ef37b621ce90a919c1d8e3f530826e92c94d185cb5131755121da095
3
+ size 1064
trainer_state.json ADDED
@@ -0,0 +1,1485 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 4.0,
5
+ "eval_steps": 2500,
6
+ "global_step": 20000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.02,
13
+ "grad_norm": 3.375241279602051,
14
+ "learning_rate": 4.000000000000001e-06,
15
+ "loss": 1.3562,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.04,
20
+ "grad_norm": 3.329700231552124,
21
+ "learning_rate": 8.000000000000001e-06,
22
+ "loss": 1.0739,
23
+ "step": 200
24
+ },
25
+ {
26
+ "epoch": 0.06,
27
+ "grad_norm": 3.802884340286255,
28
+ "learning_rate": 1.2e-05,
29
+ "loss": 1.0389,
30
+ "step": 300
31
+ },
32
+ {
33
+ "epoch": 0.08,
34
+ "grad_norm": 3.4885237216949463,
35
+ "learning_rate": 1.6000000000000003e-05,
36
+ "loss": 1.0009,
37
+ "step": 400
38
+ },
39
+ {
40
+ "epoch": 0.1,
41
+ "grad_norm": 2.990727663040161,
42
+ "learning_rate": 2e-05,
43
+ "loss": 0.9878,
44
+ "step": 500
45
+ },
46
+ {
47
+ "epoch": 0.12,
48
+ "grad_norm": 3.8411333560943604,
49
+ "learning_rate": 1.98974358974359e-05,
50
+ "loss": 0.9812,
51
+ "step": 600
52
+ },
53
+ {
54
+ "epoch": 0.14,
55
+ "grad_norm": 2.3672726154327393,
56
+ "learning_rate": 1.9794871794871798e-05,
57
+ "loss": 0.9462,
58
+ "step": 700
59
+ },
60
+ {
61
+ "epoch": 0.16,
62
+ "grad_norm": 2.6635308265686035,
63
+ "learning_rate": 1.9692307692307696e-05,
64
+ "loss": 0.9287,
65
+ "step": 800
66
+ },
67
+ {
68
+ "epoch": 0.18,
69
+ "grad_norm": 2.3260979652404785,
70
+ "learning_rate": 1.958974358974359e-05,
71
+ "loss": 0.9079,
72
+ "step": 900
73
+ },
74
+ {
75
+ "epoch": 0.2,
76
+ "grad_norm": 2.360579490661621,
77
+ "learning_rate": 1.9487179487179488e-05,
78
+ "loss": 0.9002,
79
+ "step": 1000
80
+ },
81
+ {
82
+ "epoch": 0.22,
83
+ "grad_norm": 2.2634215354919434,
84
+ "learning_rate": 1.9384615384615386e-05,
85
+ "loss": 0.8752,
86
+ "step": 1100
87
+ },
88
+ {
89
+ "epoch": 0.24,
90
+ "grad_norm": 2.375136137008667,
91
+ "learning_rate": 1.9282051282051284e-05,
92
+ "loss": 0.8791,
93
+ "step": 1200
94
+ },
95
+ {
96
+ "epoch": 0.26,
97
+ "grad_norm": 1.7745119333267212,
98
+ "learning_rate": 1.9179487179487182e-05,
99
+ "loss": 0.8601,
100
+ "step": 1300
101
+ },
102
+ {
103
+ "epoch": 0.28,
104
+ "grad_norm": 2.3610873222351074,
105
+ "learning_rate": 1.907692307692308e-05,
106
+ "loss": 0.846,
107
+ "step": 1400
108
+ },
109
+ {
110
+ "epoch": 0.3,
111
+ "grad_norm": 2.3921096324920654,
112
+ "learning_rate": 1.8974358974358975e-05,
113
+ "loss": 0.8465,
114
+ "step": 1500
115
+ },
116
+ {
117
+ "epoch": 0.32,
118
+ "grad_norm": 1.9155237674713135,
119
+ "learning_rate": 1.8871794871794873e-05,
120
+ "loss": 0.8358,
121
+ "step": 1600
122
+ },
123
+ {
124
+ "epoch": 0.34,
125
+ "grad_norm": 2.5246050357818604,
126
+ "learning_rate": 1.876923076923077e-05,
127
+ "loss": 0.8346,
128
+ "step": 1700
129
+ },
130
+ {
131
+ "epoch": 0.36,
132
+ "grad_norm": 2.402024030685425,
133
+ "learning_rate": 1.866666666666667e-05,
134
+ "loss": 0.8151,
135
+ "step": 1800
136
+ },
137
+ {
138
+ "epoch": 0.38,
139
+ "grad_norm": 1.9758305549621582,
140
+ "learning_rate": 1.8564102564102567e-05,
141
+ "loss": 0.8121,
142
+ "step": 1900
143
+ },
144
+ {
145
+ "epoch": 0.4,
146
+ "grad_norm": 1.7855979204177856,
147
+ "learning_rate": 1.8461538461538465e-05,
148
+ "loss": 0.8094,
149
+ "step": 2000
150
+ },
151
+ {
152
+ "epoch": 0.42,
153
+ "grad_norm": 2.5531435012817383,
154
+ "learning_rate": 1.835897435897436e-05,
155
+ "loss": 0.8056,
156
+ "step": 2100
157
+ },
158
+ {
159
+ "epoch": 0.44,
160
+ "grad_norm": 1.6370404958724976,
161
+ "learning_rate": 1.8256410256410257e-05,
162
+ "loss": 0.7954,
163
+ "step": 2200
164
+ },
165
+ {
166
+ "epoch": 0.46,
167
+ "grad_norm": 2.1094133853912354,
168
+ "learning_rate": 1.8153846153846155e-05,
169
+ "loss": 0.7954,
170
+ "step": 2300
171
+ },
172
+ {
173
+ "epoch": 0.48,
174
+ "grad_norm": 2.988926887512207,
175
+ "learning_rate": 1.8051282051282053e-05,
176
+ "loss": 0.7831,
177
+ "step": 2400
178
+ },
179
+ {
180
+ "epoch": 0.5,
181
+ "grad_norm": 2.0189740657806396,
182
+ "learning_rate": 1.794871794871795e-05,
183
+ "loss": 0.7734,
184
+ "step": 2500
185
+ },
186
+ {
187
+ "epoch": 0.5,
188
+ "eval_loss": 0.7750750184059143,
189
+ "eval_runtime": 37.7119,
190
+ "eval_samples_per_second": 26.517,
191
+ "eval_steps_per_second": 6.629,
192
+ "step": 2500
193
+ },
194
+ {
195
+ "epoch": 0.52,
196
+ "grad_norm": 1.6814110279083252,
197
+ "learning_rate": 1.784615384615385e-05,
198
+ "loss": 0.785,
199
+ "step": 2600
200
+ },
201
+ {
202
+ "epoch": 0.54,
203
+ "grad_norm": 1.3658416271209717,
204
+ "learning_rate": 1.7743589743589744e-05,
205
+ "loss": 0.7771,
206
+ "step": 2700
207
+ },
208
+ {
209
+ "epoch": 0.56,
210
+ "grad_norm": 2.0418968200683594,
211
+ "learning_rate": 1.7641025641025642e-05,
212
+ "loss": 0.7666,
213
+ "step": 2800
214
+ },
215
+ {
216
+ "epoch": 0.58,
217
+ "grad_norm": 1.8352694511413574,
218
+ "learning_rate": 1.753846153846154e-05,
219
+ "loss": 0.7636,
220
+ "step": 2900
221
+ },
222
+ {
223
+ "epoch": 0.6,
224
+ "grad_norm": 1.93773353099823,
225
+ "learning_rate": 1.743692307692308e-05,
226
+ "loss": 0.7447,
227
+ "step": 3000
228
+ },
229
+ {
230
+ "epoch": 0.62,
231
+ "grad_norm": 2.1721432209014893,
232
+ "learning_rate": 1.7334358974358977e-05,
233
+ "loss": 0.7583,
234
+ "step": 3100
235
+ },
236
+ {
237
+ "epoch": 0.64,
238
+ "grad_norm": 1.6705156564712524,
239
+ "learning_rate": 1.7231794871794875e-05,
240
+ "loss": 0.7347,
241
+ "step": 3200
242
+ },
243
+ {
244
+ "epoch": 0.66,
245
+ "grad_norm": 2.3235106468200684,
246
+ "learning_rate": 1.7129230769230773e-05,
247
+ "loss": 0.7509,
248
+ "step": 3300
249
+ },
250
+ {
251
+ "epoch": 0.68,
252
+ "grad_norm": 1.9557029008865356,
253
+ "learning_rate": 1.702666666666667e-05,
254
+ "loss": 0.7416,
255
+ "step": 3400
256
+ },
257
+ {
258
+ "epoch": 0.7,
259
+ "grad_norm": 1.8498666286468506,
260
+ "learning_rate": 1.6924102564102565e-05,
261
+ "loss": 0.7395,
262
+ "step": 3500
263
+ },
264
+ {
265
+ "epoch": 0.72,
266
+ "grad_norm": 1.7680326700210571,
267
+ "learning_rate": 1.6821538461538463e-05,
268
+ "loss": 0.7455,
269
+ "step": 3600
270
+ },
271
+ {
272
+ "epoch": 0.74,
273
+ "grad_norm": 1.8850408792495728,
274
+ "learning_rate": 1.671897435897436e-05,
275
+ "loss": 0.7174,
276
+ "step": 3700
277
+ },
278
+ {
279
+ "epoch": 0.76,
280
+ "grad_norm": 1.8840125799179077,
281
+ "learning_rate": 1.661641025641026e-05,
282
+ "loss": 0.7236,
283
+ "step": 3800
284
+ },
285
+ {
286
+ "epoch": 0.78,
287
+ "grad_norm": 1.8746532201766968,
288
+ "learning_rate": 1.6513846153846157e-05,
289
+ "loss": 0.7313,
290
+ "step": 3900
291
+ },
292
+ {
293
+ "epoch": 0.8,
294
+ "grad_norm": 1.9656246900558472,
295
+ "learning_rate": 1.6411282051282055e-05,
296
+ "loss": 0.7067,
297
+ "step": 4000
298
+ },
299
+ {
300
+ "epoch": 0.82,
301
+ "grad_norm": 2.298736572265625,
302
+ "learning_rate": 1.630871794871795e-05,
303
+ "loss": 0.7195,
304
+ "step": 4100
305
+ },
306
+ {
307
+ "epoch": 0.84,
308
+ "grad_norm": 1.647545337677002,
309
+ "learning_rate": 1.6206153846153848e-05,
310
+ "loss": 0.7166,
311
+ "step": 4200
312
+ },
313
+ {
314
+ "epoch": 0.86,
315
+ "grad_norm": 2.433582305908203,
316
+ "learning_rate": 1.6103589743589746e-05,
317
+ "loss": 0.7066,
318
+ "step": 4300
319
+ },
320
+ {
321
+ "epoch": 0.88,
322
+ "grad_norm": 1.937717080116272,
323
+ "learning_rate": 1.6001025641025644e-05,
324
+ "loss": 0.7065,
325
+ "step": 4400
326
+ },
327
+ {
328
+ "epoch": 0.9,
329
+ "grad_norm": 1.8050605058670044,
330
+ "learning_rate": 1.5898461538461542e-05,
331
+ "loss": 0.6854,
332
+ "step": 4500
333
+ },
334
+ {
335
+ "epoch": 0.92,
336
+ "grad_norm": 1.7141133546829224,
337
+ "learning_rate": 1.579589743589744e-05,
338
+ "loss": 0.6986,
339
+ "step": 4600
340
+ },
341
+ {
342
+ "epoch": 0.94,
343
+ "grad_norm": 2.356724739074707,
344
+ "learning_rate": 1.5693333333333334e-05,
345
+ "loss": 0.6915,
346
+ "step": 4700
347
+ },
348
+ {
349
+ "epoch": 0.96,
350
+ "grad_norm": 1.991727590560913,
351
+ "learning_rate": 1.5590769230769232e-05,
352
+ "loss": 0.7086,
353
+ "step": 4800
354
+ },
355
+ {
356
+ "epoch": 0.98,
357
+ "grad_norm": 1.5158222913742065,
358
+ "learning_rate": 1.548820512820513e-05,
359
+ "loss": 0.6915,
360
+ "step": 4900
361
+ },
362
+ {
363
+ "epoch": 1.0,
364
+ "grad_norm": 2.744266986846924,
365
+ "learning_rate": 1.538564102564103e-05,
366
+ "loss": 0.6765,
367
+ "step": 5000
368
+ },
369
+ {
370
+ "epoch": 1.0,
371
+ "eval_loss": 0.6998236179351807,
372
+ "eval_runtime": 37.7448,
373
+ "eval_samples_per_second": 26.494,
374
+ "eval_steps_per_second": 6.623,
375
+ "step": 5000
376
+ },
377
+ {
378
+ "epoch": 1.02,
379
+ "grad_norm": 1.5580978393554688,
380
+ "learning_rate": 1.5283076923076926e-05,
381
+ "loss": 0.6651,
382
+ "step": 5100
383
+ },
384
+ {
385
+ "epoch": 1.04,
386
+ "grad_norm": 1.8239487409591675,
387
+ "learning_rate": 1.5180512820512823e-05,
388
+ "loss": 0.6602,
389
+ "step": 5200
390
+ },
391
+ {
392
+ "epoch": 1.06,
393
+ "grad_norm": 1.6179425716400146,
394
+ "learning_rate": 1.5077948717948719e-05,
395
+ "loss": 0.6639,
396
+ "step": 5300
397
+ },
398
+ {
399
+ "epoch": 1.08,
400
+ "grad_norm": 2.1928112506866455,
401
+ "learning_rate": 1.4975384615384617e-05,
402
+ "loss": 0.6594,
403
+ "step": 5400
404
+ },
405
+ {
406
+ "epoch": 1.1,
407
+ "grad_norm": 1.6164484024047852,
408
+ "learning_rate": 1.4872820512820513e-05,
409
+ "loss": 0.675,
410
+ "step": 5500
411
+ },
412
+ {
413
+ "epoch": 1.12,
414
+ "grad_norm": 1.6600135564804077,
415
+ "learning_rate": 1.4770256410256411e-05,
416
+ "loss": 0.6601,
417
+ "step": 5600
418
+ },
419
+ {
420
+ "epoch": 1.14,
421
+ "grad_norm": 2.3864831924438477,
422
+ "learning_rate": 1.466769230769231e-05,
423
+ "loss": 0.6523,
424
+ "step": 5700
425
+ },
426
+ {
427
+ "epoch": 1.16,
428
+ "grad_norm": 1.7675199508666992,
429
+ "learning_rate": 1.4565128205128207e-05,
430
+ "loss": 0.6571,
431
+ "step": 5800
432
+ },
433
+ {
434
+ "epoch": 1.18,
435
+ "grad_norm": 2.3523380756378174,
436
+ "learning_rate": 1.4462564102564103e-05,
437
+ "loss": 0.644,
438
+ "step": 5900
439
+ },
440
+ {
441
+ "epoch": 1.2,
442
+ "grad_norm": 1.5896570682525635,
443
+ "learning_rate": 1.4360000000000001e-05,
444
+ "loss": 0.6425,
445
+ "step": 6000
446
+ },
447
+ {
448
+ "epoch": 1.22,
449
+ "grad_norm": 1.9609613418579102,
450
+ "learning_rate": 1.4257435897435898e-05,
451
+ "loss": 0.6449,
452
+ "step": 6100
453
+ },
454
+ {
455
+ "epoch": 1.24,
456
+ "grad_norm": 1.7148176431655884,
457
+ "learning_rate": 1.4154871794871796e-05,
458
+ "loss": 0.639,
459
+ "step": 6200
460
+ },
461
+ {
462
+ "epoch": 1.26,
463
+ "grad_norm": 1.6646454334259033,
464
+ "learning_rate": 1.4052307692307694e-05,
465
+ "loss": 0.6546,
466
+ "step": 6300
467
+ },
468
+ {
469
+ "epoch": 1.28,
470
+ "grad_norm": 1.6648869514465332,
471
+ "learning_rate": 1.3949743589743592e-05,
472
+ "loss": 0.6467,
473
+ "step": 6400
474
+ },
475
+ {
476
+ "epoch": 1.3,
477
+ "grad_norm": 1.6408113241195679,
478
+ "learning_rate": 1.3847179487179488e-05,
479
+ "loss": 0.629,
480
+ "step": 6500
481
+ },
482
+ {
483
+ "epoch": 1.32,
484
+ "grad_norm": 1.608528971672058,
485
+ "learning_rate": 1.3744615384615386e-05,
486
+ "loss": 0.6304,
487
+ "step": 6600
488
+ },
489
+ {
490
+ "epoch": 1.34,
491
+ "grad_norm": 1.7841941118240356,
492
+ "learning_rate": 1.3642051282051282e-05,
493
+ "loss": 0.636,
494
+ "step": 6700
495
+ },
496
+ {
497
+ "epoch": 1.36,
498
+ "grad_norm": 1.4850620031356812,
499
+ "learning_rate": 1.353948717948718e-05,
500
+ "loss": 0.6435,
501
+ "step": 6800
502
+ },
503
+ {
504
+ "epoch": 1.38,
505
+ "grad_norm": 1.8835147619247437,
506
+ "learning_rate": 1.3436923076923078e-05,
507
+ "loss": 0.6507,
508
+ "step": 6900
509
+ },
510
+ {
511
+ "epoch": 1.4,
512
+ "grad_norm": 2.422339916229248,
513
+ "learning_rate": 1.3334358974358976e-05,
514
+ "loss": 0.6419,
515
+ "step": 7000
516
+ },
517
+ {
518
+ "epoch": 1.42,
519
+ "grad_norm": 1.893487572669983,
520
+ "learning_rate": 1.3231794871794872e-05,
521
+ "loss": 0.6248,
522
+ "step": 7100
523
+ },
524
+ {
525
+ "epoch": 1.44,
526
+ "grad_norm": 2.7827541828155518,
527
+ "learning_rate": 1.312923076923077e-05,
528
+ "loss": 0.6376,
529
+ "step": 7200
530
+ },
531
+ {
532
+ "epoch": 1.46,
533
+ "grad_norm": 1.6783027648925781,
534
+ "learning_rate": 1.3026666666666667e-05,
535
+ "loss": 0.6207,
536
+ "step": 7300
537
+ },
538
+ {
539
+ "epoch": 1.48,
540
+ "grad_norm": 1.6965584754943848,
541
+ "learning_rate": 1.2924102564102565e-05,
542
+ "loss": 0.6239,
543
+ "step": 7400
544
+ },
545
+ {
546
+ "epoch": 1.5,
547
+ "grad_norm": 1.7779945135116577,
548
+ "learning_rate": 1.2821538461538463e-05,
549
+ "loss": 0.6211,
550
+ "step": 7500
551
+ },
552
+ {
553
+ "epoch": 1.5,
554
+ "eval_loss": 0.6189149022102356,
555
+ "eval_runtime": 37.7906,
556
+ "eval_samples_per_second": 26.462,
557
+ "eval_steps_per_second": 6.615,
558
+ "step": 7500
559
+ },
560
+ {
561
+ "epoch": 1.52,
562
+ "grad_norm": 1.8954280614852905,
563
+ "learning_rate": 1.271897435897436e-05,
564
+ "loss": 0.6301,
565
+ "step": 7600
566
+ },
567
+ {
568
+ "epoch": 1.54,
569
+ "grad_norm": 1.695956826210022,
570
+ "learning_rate": 1.2616410256410257e-05,
571
+ "loss": 0.6173,
572
+ "step": 7700
573
+ },
574
+ {
575
+ "epoch": 1.56,
576
+ "grad_norm": 2.6846532821655273,
577
+ "learning_rate": 1.2513846153846155e-05,
578
+ "loss": 0.6116,
579
+ "step": 7800
580
+ },
581
+ {
582
+ "epoch": 1.58,
583
+ "grad_norm": 2.0877957344055176,
584
+ "learning_rate": 1.2411282051282051e-05,
585
+ "loss": 0.6165,
586
+ "step": 7900
587
+ },
588
+ {
589
+ "epoch": 1.6,
590
+ "grad_norm": 1.568054437637329,
591
+ "learning_rate": 1.230871794871795e-05,
592
+ "loss": 0.6231,
593
+ "step": 8000
594
+ },
595
+ {
596
+ "epoch": 1.62,
597
+ "grad_norm": 1.8222888708114624,
598
+ "learning_rate": 1.2206153846153847e-05,
599
+ "loss": 0.6107,
600
+ "step": 8100
601
+ },
602
+ {
603
+ "epoch": 1.64,
604
+ "grad_norm": 1.8577901124954224,
605
+ "learning_rate": 1.2104615384615386e-05,
606
+ "loss": 0.6193,
607
+ "step": 8200
608
+ },
609
+ {
610
+ "epoch": 1.66,
611
+ "grad_norm": 1.689939022064209,
612
+ "learning_rate": 1.2002051282051284e-05,
613
+ "loss": 0.61,
614
+ "step": 8300
615
+ },
616
+ {
617
+ "epoch": 1.68,
618
+ "grad_norm": 1.8094621896743774,
619
+ "learning_rate": 1.189948717948718e-05,
620
+ "loss": 0.6131,
621
+ "step": 8400
622
+ },
623
+ {
624
+ "epoch": 1.7,
625
+ "grad_norm": 2.136385202407837,
626
+ "learning_rate": 1.1796923076923077e-05,
627
+ "loss": 0.6126,
628
+ "step": 8500
629
+ },
630
+ {
631
+ "epoch": 1.72,
632
+ "grad_norm": 1.6386775970458984,
633
+ "learning_rate": 1.1694358974358975e-05,
634
+ "loss": 0.617,
635
+ "step": 8600
636
+ },
637
+ {
638
+ "epoch": 1.74,
639
+ "grad_norm": 1.7911731004714966,
640
+ "learning_rate": 1.1591794871794873e-05,
641
+ "loss": 0.5999,
642
+ "step": 8700
643
+ },
644
+ {
645
+ "epoch": 1.76,
646
+ "grad_norm": 1.9262185096740723,
647
+ "learning_rate": 1.1489230769230771e-05,
648
+ "loss": 0.6069,
649
+ "step": 8800
650
+ },
651
+ {
652
+ "epoch": 1.78,
653
+ "grad_norm": 1.7505638599395752,
654
+ "learning_rate": 1.1386666666666669e-05,
655
+ "loss": 0.6083,
656
+ "step": 8900
657
+ },
658
+ {
659
+ "epoch": 1.8,
660
+ "grad_norm": 1.8164703845977783,
661
+ "learning_rate": 1.1284102564102565e-05,
662
+ "loss": 0.6237,
663
+ "step": 9000
664
+ },
665
+ {
666
+ "epoch": 1.82,
667
+ "grad_norm": 2.1859376430511475,
668
+ "learning_rate": 1.1181538461538461e-05,
669
+ "loss": 0.6004,
670
+ "step": 9100
671
+ },
672
+ {
673
+ "epoch": 1.84,
674
+ "grad_norm": 1.4279205799102783,
675
+ "learning_rate": 1.107897435897436e-05,
676
+ "loss": 0.6131,
677
+ "step": 9200
678
+ },
679
+ {
680
+ "epoch": 1.86,
681
+ "grad_norm": 1.8264535665512085,
682
+ "learning_rate": 1.0976410256410257e-05,
683
+ "loss": 0.602,
684
+ "step": 9300
685
+ },
686
+ {
687
+ "epoch": 1.88,
688
+ "grad_norm": 1.9791676998138428,
689
+ "learning_rate": 1.0873846153846155e-05,
690
+ "loss": 0.5974,
691
+ "step": 9400
692
+ },
693
+ {
694
+ "epoch": 1.9,
695
+ "grad_norm": 1.5951436758041382,
696
+ "learning_rate": 1.0771282051282053e-05,
697
+ "loss": 0.5855,
698
+ "step": 9500
699
+ },
700
+ {
701
+ "epoch": 1.92,
702
+ "grad_norm": 2.221043348312378,
703
+ "learning_rate": 1.066871794871795e-05,
704
+ "loss": 0.5942,
705
+ "step": 9600
706
+ },
707
+ {
708
+ "epoch": 1.94,
709
+ "grad_norm": 1.7138677835464478,
710
+ "learning_rate": 1.0566153846153846e-05,
711
+ "loss": 0.5981,
712
+ "step": 9700
713
+ },
714
+ {
715
+ "epoch": 1.96,
716
+ "grad_norm": 1.6244597434997559,
717
+ "learning_rate": 1.0463589743589744e-05,
718
+ "loss": 0.5908,
719
+ "step": 9800
720
+ },
721
+ {
722
+ "epoch": 1.98,
723
+ "grad_norm": 1.6802514791488647,
724
+ "learning_rate": 1.0361025641025642e-05,
725
+ "loss": 0.594,
726
+ "step": 9900
727
+ },
728
+ {
729
+ "epoch": 2.0,
730
+ "grad_norm": 2.2132487297058105,
731
+ "learning_rate": 1.025846153846154e-05,
732
+ "loss": 0.5894,
733
+ "step": 10000
734
+ },
735
+ {
736
+ "epoch": 2.0,
737
+ "eval_loss": 0.5827540159225464,
738
+ "eval_runtime": 37.6623,
739
+ "eval_samples_per_second": 26.552,
740
+ "eval_steps_per_second": 6.638,
741
+ "step": 10000
742
+ },
743
+ {
744
+ "epoch": 2.02,
745
+ "grad_norm": 2.0124223232269287,
746
+ "learning_rate": 1.0155897435897438e-05,
747
+ "loss": 0.5565,
748
+ "step": 10100
749
+ },
750
+ {
751
+ "epoch": 2.04,
752
+ "grad_norm": 1.5917423963546753,
753
+ "learning_rate": 1.0053333333333334e-05,
754
+ "loss": 0.5719,
755
+ "step": 10200
756
+ },
757
+ {
758
+ "epoch": 2.06,
759
+ "grad_norm": 1.895202875137329,
760
+ "learning_rate": 9.950769230769232e-06,
761
+ "loss": 0.5469,
762
+ "step": 10300
763
+ },
764
+ {
765
+ "epoch": 2.08,
766
+ "grad_norm": 1.5201858282089233,
767
+ "learning_rate": 9.84820512820513e-06,
768
+ "loss": 0.5672,
769
+ "step": 10400
770
+ },
771
+ {
772
+ "epoch": 2.1,
773
+ "grad_norm": 1.8425326347351074,
774
+ "learning_rate": 9.745641025641026e-06,
775
+ "loss": 0.5446,
776
+ "step": 10500
777
+ },
778
+ {
779
+ "epoch": 2.12,
780
+ "grad_norm": 2.431252956390381,
781
+ "learning_rate": 9.643076923076924e-06,
782
+ "loss": 0.552,
783
+ "step": 10600
784
+ },
785
+ {
786
+ "epoch": 2.14,
787
+ "grad_norm": 2.391223430633545,
788
+ "learning_rate": 9.541538461538462e-06,
789
+ "loss": 0.5668,
790
+ "step": 10700
791
+ },
792
+ {
793
+ "epoch": 2.16,
794
+ "grad_norm": 1.9579830169677734,
795
+ "learning_rate": 9.43897435897436e-06,
796
+ "loss": 0.5432,
797
+ "step": 10800
798
+ },
799
+ {
800
+ "epoch": 2.18,
801
+ "grad_norm": 1.6551591157913208,
802
+ "learning_rate": 9.336410256410258e-06,
803
+ "loss": 0.5345,
804
+ "step": 10900
805
+ },
806
+ {
807
+ "epoch": 2.2,
808
+ "grad_norm": 1.58843195438385,
809
+ "learning_rate": 9.233846153846154e-06,
810
+ "loss": 0.5527,
811
+ "step": 11000
812
+ },
813
+ {
814
+ "epoch": 2.22,
815
+ "grad_norm": 1.36421799659729,
816
+ "learning_rate": 9.131282051282052e-06,
817
+ "loss": 0.5543,
818
+ "step": 11100
819
+ },
820
+ {
821
+ "epoch": 2.24,
822
+ "grad_norm": 1.5961703062057495,
823
+ "learning_rate": 9.02871794871795e-06,
824
+ "loss": 0.5621,
825
+ "step": 11200
826
+ },
827
+ {
828
+ "epoch": 2.26,
829
+ "grad_norm": 1.9277173280715942,
830
+ "learning_rate": 8.926153846153846e-06,
831
+ "loss": 0.5404,
832
+ "step": 11300
833
+ },
834
+ {
835
+ "epoch": 2.28,
836
+ "grad_norm": 1.6406772136688232,
837
+ "learning_rate": 8.823589743589744e-06,
838
+ "loss": 0.5487,
839
+ "step": 11400
840
+ },
841
+ {
842
+ "epoch": 2.3,
843
+ "grad_norm": 2.2707431316375732,
844
+ "learning_rate": 8.721025641025642e-06,
845
+ "loss": 0.5581,
846
+ "step": 11500
847
+ },
848
+ {
849
+ "epoch": 2.32,
850
+ "grad_norm": 2.063711404800415,
851
+ "learning_rate": 8.618461538461539e-06,
852
+ "loss": 0.537,
853
+ "step": 11600
854
+ },
855
+ {
856
+ "epoch": 2.34,
857
+ "grad_norm": 1.40162992477417,
858
+ "learning_rate": 8.515897435897437e-06,
859
+ "loss": 0.5467,
860
+ "step": 11700
861
+ },
862
+ {
863
+ "epoch": 2.36,
864
+ "grad_norm": 1.9021568298339844,
865
+ "learning_rate": 8.413333333333335e-06,
866
+ "loss": 0.5492,
867
+ "step": 11800
868
+ },
869
+ {
870
+ "epoch": 2.38,
871
+ "grad_norm": 1.607601523399353,
872
+ "learning_rate": 8.310769230769231e-06,
873
+ "loss": 0.5358,
874
+ "step": 11900
875
+ },
876
+ {
877
+ "epoch": 2.4,
878
+ "grad_norm": 1.6282119750976562,
879
+ "learning_rate": 8.208205128205129e-06,
880
+ "loss": 0.5539,
881
+ "step": 12000
882
+ },
883
+ {
884
+ "epoch": 2.42,
885
+ "grad_norm": 1.7966066598892212,
886
+ "learning_rate": 8.105641025641027e-06,
887
+ "loss": 0.5459,
888
+ "step": 12100
889
+ },
890
+ {
891
+ "epoch": 2.44,
892
+ "grad_norm": 2.068737745285034,
893
+ "learning_rate": 8.003076923076923e-06,
894
+ "loss": 0.5427,
895
+ "step": 12200
896
+ },
897
+ {
898
+ "epoch": 2.46,
899
+ "grad_norm": 1.8832446336746216,
900
+ "learning_rate": 7.901538461538462e-06,
901
+ "loss": 0.5392,
902
+ "step": 12300
903
+ },
904
+ {
905
+ "epoch": 2.48,
906
+ "grad_norm": 3.1190991401672363,
907
+ "learning_rate": 7.798974358974359e-06,
908
+ "loss": 0.5479,
909
+ "step": 12400
910
+ },
911
+ {
912
+ "epoch": 2.5,
913
+ "grad_norm": 1.997453212738037,
914
+ "learning_rate": 7.696410256410257e-06,
915
+ "loss": 0.5462,
916
+ "step": 12500
917
+ },
918
+ {
919
+ "epoch": 2.5,
920
+ "eval_loss": 0.592738151550293,
921
+ "eval_runtime": 37.6944,
922
+ "eval_samples_per_second": 26.529,
923
+ "eval_steps_per_second": 6.632,
924
+ "step": 12500
925
+ },
926
+ {
927
+ "epoch": 2.52,
928
+ "grad_norm": 1.9580820798873901,
929
+ "learning_rate": 7.593846153846155e-06,
930
+ "loss": 0.5205,
931
+ "step": 12600
932
+ },
933
+ {
934
+ "epoch": 2.54,
935
+ "grad_norm": 1.8407106399536133,
936
+ "learning_rate": 7.491282051282052e-06,
937
+ "loss": 0.5283,
938
+ "step": 12700
939
+ },
940
+ {
941
+ "epoch": 2.56,
942
+ "grad_norm": 1.8764362335205078,
943
+ "learning_rate": 7.38871794871795e-06,
944
+ "loss": 0.5372,
945
+ "step": 12800
946
+ },
947
+ {
948
+ "epoch": 2.58,
949
+ "grad_norm": 2.0187058448791504,
950
+ "learning_rate": 7.286153846153847e-06,
951
+ "loss": 0.5443,
952
+ "step": 12900
953
+ },
954
+ {
955
+ "epoch": 2.6,
956
+ "grad_norm": 1.6760249137878418,
957
+ "learning_rate": 7.183589743589744e-06,
958
+ "loss": 0.5359,
959
+ "step": 13000
960
+ },
961
+ {
962
+ "epoch": 2.62,
963
+ "grad_norm": 1.7465155124664307,
964
+ "learning_rate": 7.081025641025642e-06,
965
+ "loss": 0.5332,
966
+ "step": 13100
967
+ },
968
+ {
969
+ "epoch": 2.64,
970
+ "grad_norm": 1.983605980873108,
971
+ "learning_rate": 6.978461538461539e-06,
972
+ "loss": 0.5375,
973
+ "step": 13200
974
+ },
975
+ {
976
+ "epoch": 2.66,
977
+ "grad_norm": 3.748850107192993,
978
+ "learning_rate": 6.875897435897436e-06,
979
+ "loss": 0.5202,
980
+ "step": 13300
981
+ },
982
+ {
983
+ "epoch": 2.68,
984
+ "grad_norm": 2.3786838054656982,
985
+ "learning_rate": 6.773333333333334e-06,
986
+ "loss": 0.5366,
987
+ "step": 13400
988
+ },
989
+ {
990
+ "epoch": 2.7,
991
+ "grad_norm": 1.8277692794799805,
992
+ "learning_rate": 6.670769230769231e-06,
993
+ "loss": 0.5406,
994
+ "step": 13500
995
+ },
996
+ {
997
+ "epoch": 2.72,
998
+ "grad_norm": 1.736742377281189,
999
+ "learning_rate": 6.5682051282051285e-06,
1000
+ "loss": 0.5324,
1001
+ "step": 13600
1002
+ },
1003
+ {
1004
+ "epoch": 2.74,
1005
+ "grad_norm": 2.152658224105835,
1006
+ "learning_rate": 6.4656410256410265e-06,
1007
+ "loss": 0.5238,
1008
+ "step": 13700
1009
+ },
1010
+ {
1011
+ "epoch": 2.76,
1012
+ "grad_norm": 1.4771183729171753,
1013
+ "learning_rate": 6.363076923076924e-06,
1014
+ "loss": 0.5244,
1015
+ "step": 13800
1016
+ },
1017
+ {
1018
+ "epoch": 2.78,
1019
+ "grad_norm": 2.6469223499298096,
1020
+ "learning_rate": 6.260512820512821e-06,
1021
+ "loss": 0.5296,
1022
+ "step": 13900
1023
+ },
1024
+ {
1025
+ "epoch": 2.8,
1026
+ "grad_norm": 2.2587192058563232,
1027
+ "learning_rate": 6.157948717948719e-06,
1028
+ "loss": 0.5245,
1029
+ "step": 14000
1030
+ },
1031
+ {
1032
+ "epoch": 2.82,
1033
+ "grad_norm": 1.691953182220459,
1034
+ "learning_rate": 6.055384615384616e-06,
1035
+ "loss": 0.523,
1036
+ "step": 14100
1037
+ },
1038
+ {
1039
+ "epoch": 2.84,
1040
+ "grad_norm": 1.9120712280273438,
1041
+ "learning_rate": 5.952820512820513e-06,
1042
+ "loss": 0.522,
1043
+ "step": 14200
1044
+ },
1045
+ {
1046
+ "epoch": 2.86,
1047
+ "grad_norm": 2.196423292160034,
1048
+ "learning_rate": 5.850256410256411e-06,
1049
+ "loss": 0.5252,
1050
+ "step": 14300
1051
+ },
1052
+ {
1053
+ "epoch": 2.88,
1054
+ "grad_norm": 2.080812931060791,
1055
+ "learning_rate": 5.747692307692308e-06,
1056
+ "loss": 0.53,
1057
+ "step": 14400
1058
+ },
1059
+ {
1060
+ "epoch": 2.9,
1061
+ "grad_norm": 1.567008376121521,
1062
+ "learning_rate": 5.645128205128205e-06,
1063
+ "loss": 0.5213,
1064
+ "step": 14500
1065
+ },
1066
+ {
1067
+ "epoch": 2.92,
1068
+ "grad_norm": 1.8277350664138794,
1069
+ "learning_rate": 5.542564102564103e-06,
1070
+ "loss": 0.5288,
1071
+ "step": 14600
1072
+ },
1073
+ {
1074
+ "epoch": 2.94,
1075
+ "grad_norm": 2.144063711166382,
1076
+ "learning_rate": 5.4400000000000004e-06,
1077
+ "loss": 0.5187,
1078
+ "step": 14700
1079
+ },
1080
+ {
1081
+ "epoch": 2.96,
1082
+ "grad_norm": 2.0858545303344727,
1083
+ "learning_rate": 5.338461538461539e-06,
1084
+ "loss": 0.5104,
1085
+ "step": 14800
1086
+ },
1087
+ {
1088
+ "epoch": 2.98,
1089
+ "grad_norm": 2.8449838161468506,
1090
+ "learning_rate": 5.235897435897437e-06,
1091
+ "loss": 0.5254,
1092
+ "step": 14900
1093
+ },
1094
+ {
1095
+ "epoch": 3.0,
1096
+ "grad_norm": 1.867030143737793,
1097
+ "learning_rate": 5.133333333333334e-06,
1098
+ "loss": 0.5265,
1099
+ "step": 15000
1100
+ },
1101
+ {
1102
+ "epoch": 3.0,
1103
+ "eval_loss": 0.5755677819252014,
1104
+ "eval_runtime": 37.7393,
1105
+ "eval_samples_per_second": 26.498,
1106
+ "eval_steps_per_second": 6.624,
1107
+ "step": 15000
1108
+ },
1109
+ {
1110
+ "epoch": 3.02,
1111
+ "grad_norm": 1.6803908348083496,
1112
+ "learning_rate": 5.031794871794871e-06,
1113
+ "loss": 0.4732,
1114
+ "step": 15100
1115
+ },
1116
+ {
1117
+ "epoch": 3.04,
1118
+ "grad_norm": 1.657348871231079,
1119
+ "learning_rate": 4.929230769230769e-06,
1120
+ "loss": 0.4753,
1121
+ "step": 15200
1122
+ },
1123
+ {
1124
+ "epoch": 3.06,
1125
+ "grad_norm": 2.1027541160583496,
1126
+ "learning_rate": 4.826666666666667e-06,
1127
+ "loss": 0.4763,
1128
+ "step": 15300
1129
+ },
1130
+ {
1131
+ "epoch": 3.08,
1132
+ "grad_norm": 2.144843816757202,
1133
+ "learning_rate": 4.7241025641025645e-06,
1134
+ "loss": 0.4691,
1135
+ "step": 15400
1136
+ },
1137
+ {
1138
+ "epoch": 3.1,
1139
+ "grad_norm": 2.0413217544555664,
1140
+ "learning_rate": 4.621538461538462e-06,
1141
+ "loss": 0.4694,
1142
+ "step": 15500
1143
+ },
1144
+ {
1145
+ "epoch": 3.12,
1146
+ "grad_norm": 2.122432231903076,
1147
+ "learning_rate": 4.51897435897436e-06,
1148
+ "loss": 0.472,
1149
+ "step": 15600
1150
+ },
1151
+ {
1152
+ "epoch": 3.14,
1153
+ "grad_norm": 2.2207162380218506,
1154
+ "learning_rate": 4.416410256410257e-06,
1155
+ "loss": 0.463,
1156
+ "step": 15700
1157
+ },
1158
+ {
1159
+ "epoch": 3.16,
1160
+ "grad_norm": 1.912340521812439,
1161
+ "learning_rate": 4.313846153846154e-06,
1162
+ "loss": 0.4735,
1163
+ "step": 15800
1164
+ },
1165
+ {
1166
+ "epoch": 3.18,
1167
+ "grad_norm": 2.1629879474639893,
1168
+ "learning_rate": 4.211282051282052e-06,
1169
+ "loss": 0.4759,
1170
+ "step": 15900
1171
+ },
1172
+ {
1173
+ "epoch": 3.2,
1174
+ "grad_norm": 2.2578675746917725,
1175
+ "learning_rate": 4.108717948717949e-06,
1176
+ "loss": 0.4716,
1177
+ "step": 16000
1178
+ },
1179
+ {
1180
+ "epoch": 3.22,
1181
+ "grad_norm": 1.8659443855285645,
1182
+ "learning_rate": 4.006153846153846e-06,
1183
+ "loss": 0.4521,
1184
+ "step": 16100
1185
+ },
1186
+ {
1187
+ "epoch": 3.24,
1188
+ "grad_norm": 2.5843989849090576,
1189
+ "learning_rate": 3.903589743589744e-06,
1190
+ "loss": 0.4642,
1191
+ "step": 16200
1192
+ },
1193
+ {
1194
+ "epoch": 3.26,
1195
+ "grad_norm": 2.093555212020874,
1196
+ "learning_rate": 3.8010256410256412e-06,
1197
+ "loss": 0.4625,
1198
+ "step": 16300
1199
+ },
1200
+ {
1201
+ "epoch": 3.28,
1202
+ "grad_norm": 1.8870043754577637,
1203
+ "learning_rate": 3.6984615384615384e-06,
1204
+ "loss": 0.4715,
1205
+ "step": 16400
1206
+ },
1207
+ {
1208
+ "epoch": 3.3,
1209
+ "grad_norm": 1.8587422370910645,
1210
+ "learning_rate": 3.5958974358974363e-06,
1211
+ "loss": 0.4598,
1212
+ "step": 16500
1213
+ },
1214
+ {
1215
+ "epoch": 3.32,
1216
+ "grad_norm": 3.115006923675537,
1217
+ "learning_rate": 3.4933333333333335e-06,
1218
+ "loss": 0.4522,
1219
+ "step": 16600
1220
+ },
1221
+ {
1222
+ "epoch": 3.34,
1223
+ "grad_norm": 3.0302741527557373,
1224
+ "learning_rate": 3.3907692307692306e-06,
1225
+ "loss": 0.4606,
1226
+ "step": 16700
1227
+ },
1228
+ {
1229
+ "epoch": 3.36,
1230
+ "grad_norm": 2.0749588012695312,
1231
+ "learning_rate": 3.2882051282051286e-06,
1232
+ "loss": 0.4677,
1233
+ "step": 16800
1234
+ },
1235
+ {
1236
+ "epoch": 3.38,
1237
+ "grad_norm": 1.8986167907714844,
1238
+ "learning_rate": 3.1856410256410257e-06,
1239
+ "loss": 0.4621,
1240
+ "step": 16900
1241
+ },
1242
+ {
1243
+ "epoch": 3.4,
1244
+ "grad_norm": 4.082165241241455,
1245
+ "learning_rate": 3.083076923076923e-06,
1246
+ "loss": 0.472,
1247
+ "step": 17000
1248
+ },
1249
+ {
1250
+ "epoch": 3.42,
1251
+ "grad_norm": 2.0937159061431885,
1252
+ "learning_rate": 2.980512820512821e-06,
1253
+ "loss": 0.4704,
1254
+ "step": 17100
1255
+ },
1256
+ {
1257
+ "epoch": 3.44,
1258
+ "grad_norm": 1.8796356916427612,
1259
+ "learning_rate": 2.877948717948718e-06,
1260
+ "loss": 0.4664,
1261
+ "step": 17200
1262
+ },
1263
+ {
1264
+ "epoch": 3.46,
1265
+ "grad_norm": 2.338709831237793,
1266
+ "learning_rate": 2.775384615384615e-06,
1267
+ "loss": 0.4642,
1268
+ "step": 17300
1269
+ },
1270
+ {
1271
+ "epoch": 3.48,
1272
+ "grad_norm": 1.9063432216644287,
1273
+ "learning_rate": 2.672820512820513e-06,
1274
+ "loss": 0.4587,
1275
+ "step": 17400
1276
+ },
1277
+ {
1278
+ "epoch": 3.5,
1279
+ "grad_norm": 2.500352621078491,
1280
+ "learning_rate": 2.5702564102564103e-06,
1281
+ "loss": 0.4653,
1282
+ "step": 17500
1283
+ },
1284
+ {
1285
+ "epoch": 3.5,
1286
+ "eval_loss": 0.5773757696151733,
1287
+ "eval_runtime": 37.7662,
1288
+ "eval_samples_per_second": 26.479,
1289
+ "eval_steps_per_second": 6.62,
1290
+ "step": 17500
1291
+ },
1292
+ {
1293
+ "epoch": 3.52,
1294
+ "grad_norm": 2.412173271179199,
1295
+ "learning_rate": 2.467692307692308e-06,
1296
+ "loss": 0.4577,
1297
+ "step": 17600
1298
+ },
1299
+ {
1300
+ "epoch": 3.54,
1301
+ "grad_norm": 2.3137009143829346,
1302
+ "learning_rate": 2.3651282051282054e-06,
1303
+ "loss": 0.4691,
1304
+ "step": 17700
1305
+ },
1306
+ {
1307
+ "epoch": 3.56,
1308
+ "grad_norm": 2.7015998363494873,
1309
+ "learning_rate": 2.2625641025641025e-06,
1310
+ "loss": 0.4528,
1311
+ "step": 17800
1312
+ },
1313
+ {
1314
+ "epoch": 3.58,
1315
+ "grad_norm": 2.0640199184417725,
1316
+ "learning_rate": 2.16e-06,
1317
+ "loss": 0.4543,
1318
+ "step": 17900
1319
+ },
1320
+ {
1321
+ "epoch": 3.6,
1322
+ "grad_norm": 2.362372398376465,
1323
+ "learning_rate": 2.0574358974358976e-06,
1324
+ "loss": 0.4537,
1325
+ "step": 18000
1326
+ },
1327
+ {
1328
+ "epoch": 3.62,
1329
+ "grad_norm": 2.2816359996795654,
1330
+ "learning_rate": 1.9548717948717948e-06,
1331
+ "loss": 0.4567,
1332
+ "step": 18100
1333
+ },
1334
+ {
1335
+ "epoch": 3.64,
1336
+ "grad_norm": 1.7161535024642944,
1337
+ "learning_rate": 1.8523076923076923e-06,
1338
+ "loss": 0.4551,
1339
+ "step": 18200
1340
+ },
1341
+ {
1342
+ "epoch": 3.66,
1343
+ "grad_norm": 2.011964797973633,
1344
+ "learning_rate": 1.7497435897435899e-06,
1345
+ "loss": 0.4501,
1346
+ "step": 18300
1347
+ },
1348
+ {
1349
+ "epoch": 3.68,
1350
+ "grad_norm": 2.126624584197998,
1351
+ "learning_rate": 1.6471794871794874e-06,
1352
+ "loss": 0.4475,
1353
+ "step": 18400
1354
+ },
1355
+ {
1356
+ "epoch": 3.7,
1357
+ "grad_norm": 2.778960704803467,
1358
+ "learning_rate": 1.5446153846153846e-06,
1359
+ "loss": 0.4525,
1360
+ "step": 18500
1361
+ },
1362
+ {
1363
+ "epoch": 3.72,
1364
+ "grad_norm": 2.1998558044433594,
1365
+ "learning_rate": 1.4420512820512821e-06,
1366
+ "loss": 0.4542,
1367
+ "step": 18600
1368
+ },
1369
+ {
1370
+ "epoch": 3.74,
1371
+ "grad_norm": 2.273758888244629,
1372
+ "learning_rate": 1.3394871794871797e-06,
1373
+ "loss": 0.4709,
1374
+ "step": 18700
1375
+ },
1376
+ {
1377
+ "epoch": 3.76,
1378
+ "grad_norm": 2.270432949066162,
1379
+ "learning_rate": 1.236923076923077e-06,
1380
+ "loss": 0.4515,
1381
+ "step": 18800
1382
+ },
1383
+ {
1384
+ "epoch": 3.78,
1385
+ "grad_norm": 2.251328706741333,
1386
+ "learning_rate": 1.1343589743589744e-06,
1387
+ "loss": 0.4414,
1388
+ "step": 18900
1389
+ },
1390
+ {
1391
+ "epoch": 3.8,
1392
+ "grad_norm": 1.7179417610168457,
1393
+ "learning_rate": 1.0317948717948717e-06,
1394
+ "loss": 0.4571,
1395
+ "step": 19000
1396
+ },
1397
+ {
1398
+ "epoch": 3.82,
1399
+ "grad_norm": 2.2892489433288574,
1400
+ "learning_rate": 9.292307692307693e-07,
1401
+ "loss": 0.4512,
1402
+ "step": 19100
1403
+ },
1404
+ {
1405
+ "epoch": 3.84,
1406
+ "grad_norm": 2.386227607727051,
1407
+ "learning_rate": 8.266666666666668e-07,
1408
+ "loss": 0.4529,
1409
+ "step": 19200
1410
+ },
1411
+ {
1412
+ "epoch": 3.86,
1413
+ "grad_norm": 3.4404356479644775,
1414
+ "learning_rate": 7.241025641025641e-07,
1415
+ "loss": 0.4561,
1416
+ "step": 19300
1417
+ },
1418
+ {
1419
+ "epoch": 3.88,
1420
+ "grad_norm": 3.1425325870513916,
1421
+ "learning_rate": 6.215384615384616e-07,
1422
+ "loss": 0.4512,
1423
+ "step": 19400
1424
+ },
1425
+ {
1426
+ "epoch": 3.9,
1427
+ "grad_norm": 2.285019636154175,
1428
+ "learning_rate": 5.18974358974359e-07,
1429
+ "loss": 0.4644,
1430
+ "step": 19500
1431
+ },
1432
+ {
1433
+ "epoch": 3.92,
1434
+ "grad_norm": 1.933229923248291,
1435
+ "learning_rate": 4.164102564102564e-07,
1436
+ "loss": 0.4636,
1437
+ "step": 19600
1438
+ },
1439
+ {
1440
+ "epoch": 3.94,
1441
+ "grad_norm": 2.129995346069336,
1442
+ "learning_rate": 3.138461538461539e-07,
1443
+ "loss": 0.4486,
1444
+ "step": 19700
1445
+ },
1446
+ {
1447
+ "epoch": 3.96,
1448
+ "grad_norm": 2.06881046295166,
1449
+ "learning_rate": 2.112820512820513e-07,
1450
+ "loss": 0.4338,
1451
+ "step": 19800
1452
+ },
1453
+ {
1454
+ "epoch": 3.98,
1455
+ "grad_norm": 2.346268892288208,
1456
+ "learning_rate": 1.0871794871794872e-07,
1457
+ "loss": 0.4543,
1458
+ "step": 19900
1459
+ },
1460
+ {
1461
+ "epoch": 4.0,
1462
+ "grad_norm": 2.0282890796661377,
1463
+ "learning_rate": 6.153846153846155e-09,
1464
+ "loss": 0.4407,
1465
+ "step": 20000
1466
+ },
1467
+ {
1468
+ "epoch": 4.0,
1469
+ "eval_loss": 0.5501033663749695,
1470
+ "eval_runtime": 37.7502,
1471
+ "eval_samples_per_second": 26.49,
1472
+ "eval_steps_per_second": 6.622,
1473
+ "step": 20000
1474
+ }
1475
+ ],
1476
+ "logging_steps": 100,
1477
+ "max_steps": 20000,
1478
+ "num_input_tokens_seen": 0,
1479
+ "num_train_epochs": 4,
1480
+ "save_steps": 2500,
1481
+ "total_flos": 2.51739173289984e+18,
1482
+ "train_batch_size": 4,
1483
+ "trial_name": null,
1484
+ "trial_params": null
1485
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:57c7e5bf6bf1ce5a1317501cc9864a1ee7690e7b4939a74a9d7718a30ba1e25c
3
+ size 4984