Tianyue Ou commited on
Commit
8b284a1
1 Parent(s): 75bc00f

upload checkpoint

Browse files
Synatra-CodeLlama/config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "/data/tir/projects/tir3/users/tianyueo/ckpts/cllama/cllama/models--codellama--CodeLlama-7b-hf/snapshots/bc5283229e2fe411552f55c71657e97edf79066c",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "attention_bias": false,
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 1,
9
+ "eos_token_id": 2,
10
+ "hidden_act": "silu",
11
+ "hidden_size": 4096,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 11008,
14
+ "max_position_embeddings": 16384,
15
+ "model_type": "llama",
16
+ "num_attention_heads": 32,
17
+ "num_hidden_layers": 32,
18
+ "num_key_value_heads": 32,
19
+ "pretraining_tp": 1,
20
+ "rms_norm_eps": 1e-05,
21
+ "rope_scaling": null,
22
+ "rope_theta": 1000000,
23
+ "tie_word_embeddings": false,
24
+ "torch_dtype": "bfloat16",
25
+ "transformers_version": "4.38.1",
26
+ "use_cache": false,
27
+ "vocab_size": 32016
28
+ }
Synatra-CodeLlama/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.38.1"
6
+ }
Synatra-CodeLlama/model-00001-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:97a1323ea4d8ce3deff212776b70735a5ceba896e6df452143da218a61788903
3
+ size 4939116424
Synatra-CodeLlama/model-00002-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:973d06a51ccf847a6ce4eccb5b87abeef3b5b559ec83a13114f1dcfd779f4728
3
+ size 4947390880
Synatra-CodeLlama/model-00003-of-00003.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4f165c67f64e0754d84263a1631039324be04b601a43d4982dc0b45a366d20e6
3
+ size 3590619888
Synatra-CodeLlama/model.safetensors.index.json ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 13477093376
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00003-of-00003.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00003.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
13
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
14
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
15
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
16
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
17
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
18
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
19
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
20
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
21
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
22
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
23
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
24
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
25
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
26
+ "model.layers.10.input_layernorm.weight": "model-00001-of-00003.safetensors",
27
+ "model.layers.10.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
28
+ "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
29
+ "model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
30
+ "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
31
+ "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
32
+ "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
33
+ "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
34
+ "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
35
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
36
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
37
+ "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
38
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
39
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
40
+ "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
41
+ "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
42
+ "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
43
+ "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
44
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
45
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
46
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
47
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
48
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
49
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
50
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
51
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
52
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
53
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
54
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
55
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
56
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
57
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
58
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
59
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
60
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
61
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
62
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
63
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
64
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
65
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
66
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
67
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
68
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
69
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
70
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
71
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
72
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
73
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
74
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
75
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
76
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
77
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
78
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
79
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
80
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
81
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
82
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
83
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
84
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
85
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
86
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
87
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
88
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
89
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
90
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
91
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
92
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
93
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
94
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
95
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
96
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
97
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
98
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
99
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
100
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
101
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
102
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
103
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
104
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
105
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
106
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
107
+ "model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors",
108
+ "model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
109
+ "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
110
+ "model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
111
+ "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
112
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
113
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
114
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
115
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
116
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
117
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
118
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
119
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
120
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
121
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
122
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
123
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
124
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
125
+ "model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors",
126
+ "model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
127
+ "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
128
+ "model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
129
+ "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
130
+ "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
131
+ "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
132
+ "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
133
+ "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
134
+ "model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors",
135
+ "model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
136
+ "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
137
+ "model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
138
+ "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
139
+ "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
140
+ "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
141
+ "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
142
+ "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
143
+ "model.layers.22.input_layernorm.weight": "model-00002-of-00003.safetensors",
144
+ "model.layers.22.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
145
+ "model.layers.22.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
146
+ "model.layers.22.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
147
+ "model.layers.22.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
148
+ "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
149
+ "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
150
+ "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
151
+ "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
152
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
153
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
154
+ "model.layers.23.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
155
+ "model.layers.23.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
156
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
157
+ "model.layers.23.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
158
+ "model.layers.23.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
159
+ "model.layers.23.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
160
+ "model.layers.23.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
161
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
162
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
163
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
164
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
165
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
166
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
167
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
168
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
169
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
170
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
171
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
172
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
173
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
174
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
175
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
176
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
177
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
178
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
179
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
180
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
181
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
182
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
183
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
184
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
185
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
186
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
187
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
188
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
189
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
190
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
191
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
192
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
193
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
194
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
195
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
196
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
197
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors",
198
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
199
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
200
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
201
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
202
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
203
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
204
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
205
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
206
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors",
207
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
208
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
209
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
210
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
211
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
212
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
213
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
214
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
215
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
216
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
217
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
218
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
219
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
220
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
221
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
222
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
223
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
224
+ "model.layers.30.input_layernorm.weight": "model-00003-of-00003.safetensors",
225
+ "model.layers.30.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
226
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
227
+ "model.layers.30.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
228
+ "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
229
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
230
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
231
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
232
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
233
+ "model.layers.31.input_layernorm.weight": "model-00003-of-00003.safetensors",
234
+ "model.layers.31.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
235
+ "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
236
+ "model.layers.31.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
237
+ "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
238
+ "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
239
+ "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
240
+ "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
241
+ "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
242
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
243
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
244
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
245
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
246
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
247
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
248
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
249
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
250
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
251
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
252
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
253
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
254
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
255
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
256
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
257
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
258
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
259
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
260
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
261
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
262
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
263
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
264
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
265
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
266
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
267
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
268
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
269
+ "model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
270
+ "model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
271
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
272
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
273
+ "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
274
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
275
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
276
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
277
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
278
+ "model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
279
+ "model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
280
+ "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
281
+ "model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
282
+ "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
283
+ "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
284
+ "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
285
+ "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
286
+ "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
287
+ "model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
288
+ "model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
289
+ "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
290
+ "model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
291
+ "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
292
+ "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
293
+ "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
294
+ "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
295
+ "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
296
+ "model.norm.weight": "model-00003-of-00003.safetensors"
297
+ }
298
+ }
Synatra-CodeLlama/special_tokens_map.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "▁<PRE>",
4
+ "▁<MID>",
5
+ "▁<SUF>",
6
+ "▁<EOT>"
7
+ ],
8
+ "bos_token": {
9
+ "content": "<s>",
10
+ "lstrip": false,
11
+ "normalized": false,
12
+ "rstrip": false,
13
+ "single_word": false
14
+ },
15
+ "eos_token": {
16
+ "content": "</s>",
17
+ "lstrip": false,
18
+ "normalized": false,
19
+ "rstrip": false,
20
+ "single_word": false
21
+ },
22
+ "pad_token": "</s>",
23
+ "unk_token": {
24
+ "content": "<unk>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ }
30
+ }
Synatra-CodeLlama/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
3
+ size 500058
Synatra-CodeLlama/tokenizer_config.json ADDED
@@ -0,0 +1,86 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_eos_token": false,
4
+ "added_tokens_decoder": {
5
+ "0": {
6
+ "content": "<unk>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "1": {
14
+ "content": "<s>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "2": {
22
+ "content": "</s>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "32007": {
30
+ "content": "▁<PRE>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "32008": {
38
+ "content": "▁<SUF>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "32009": {
46
+ "content": "▁<MID>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "32010": {
54
+ "content": "▁<EOT>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ }
61
+ },
62
+ "additional_special_tokens": [
63
+ "▁<PRE>",
64
+ "▁<MID>",
65
+ "▁<SUF>",
66
+ "▁<EOT>"
67
+ ],
68
+ "bos_token": "<s>",
69
+ "clean_up_tokenization_spaces": false,
70
+ "eos_token": "</s>",
71
+ "eot_token": "▁<EOT>",
72
+ "fill_token": "<FILL_ME>",
73
+ "legacy": null,
74
+ "middle_token": "▁<MID>",
75
+ "model_max_length": 1000000000000000019884624838656,
76
+ "pad_token": "</s>",
77
+ "padding_side": "right",
78
+ "prefix_token": "▁<PRE>",
79
+ "sp_model_kwargs": {},
80
+ "split_special_tokens": false,
81
+ "suffix_first": false,
82
+ "suffix_token": "▁<SUF>",
83
+ "tokenizer_class": "CodeLlamaTokenizer",
84
+ "unk_token": "<unk>",
85
+ "use_default_system_prompt": false
86
+ }
Synatra-CodeLlama/trainer_state.json ADDED
@@ -0,0 +1,2016 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.9212295869356388,
5
+ "eval_steps": 30,
6
+ "global_step": 4000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01,
13
+ "grad_norm": 2.113042176528739,
14
+ "learning_rate": 4.800000000000001e-06,
15
+ "loss": 1.7509,
16
+ "step": 30
17
+ },
18
+ {
19
+ "epoch": 0.01,
20
+ "eval_loss": 1.228292465209961,
21
+ "eval_runtime": 0.6159,
22
+ "eval_samples_per_second": 6.495,
23
+ "eval_steps_per_second": 1.624,
24
+ "step": 30
25
+ },
26
+ {
27
+ "epoch": 0.03,
28
+ "grad_norm": 1.661469579110867,
29
+ "learning_rate": 9.600000000000001e-06,
30
+ "loss": 1.1478,
31
+ "step": 60
32
+ },
33
+ {
34
+ "epoch": 0.03,
35
+ "eval_loss": 1.0729522705078125,
36
+ "eval_runtime": 0.5568,
37
+ "eval_samples_per_second": 7.183,
38
+ "eval_steps_per_second": 1.796,
39
+ "step": 60
40
+ },
41
+ {
42
+ "epoch": 0.04,
43
+ "grad_norm": 1.4443362785996876,
44
+ "learning_rate": 1.4400000000000001e-05,
45
+ "loss": 1.0223,
46
+ "step": 90
47
+ },
48
+ {
49
+ "epoch": 0.04,
50
+ "eval_loss": 1.0873539447784424,
51
+ "eval_runtime": 0.5571,
52
+ "eval_samples_per_second": 7.18,
53
+ "eval_steps_per_second": 1.795,
54
+ "step": 90
55
+ },
56
+ {
57
+ "epoch": 0.06,
58
+ "grad_norm": 1.4587251002054071,
59
+ "learning_rate": 1.9200000000000003e-05,
60
+ "loss": 1.0156,
61
+ "step": 120
62
+ },
63
+ {
64
+ "epoch": 0.06,
65
+ "eval_loss": 1.1211045980453491,
66
+ "eval_runtime": 0.5582,
67
+ "eval_samples_per_second": 7.166,
68
+ "eval_steps_per_second": 1.792,
69
+ "step": 120
70
+ },
71
+ {
72
+ "epoch": 0.07,
73
+ "grad_norm": 1.2847131983132847,
74
+ "learning_rate": 2.4e-05,
75
+ "loss": 1.0016,
76
+ "step": 150
77
+ },
78
+ {
79
+ "epoch": 0.07,
80
+ "eval_loss": 1.1070358753204346,
81
+ "eval_runtime": 0.5598,
82
+ "eval_samples_per_second": 7.146,
83
+ "eval_steps_per_second": 1.786,
84
+ "step": 150
85
+ },
86
+ {
87
+ "epoch": 0.09,
88
+ "grad_norm": 1.3382431357490099,
89
+ "learning_rate": 2.8800000000000002e-05,
90
+ "loss": 0.9996,
91
+ "step": 180
92
+ },
93
+ {
94
+ "epoch": 0.09,
95
+ "eval_loss": 1.0517526865005493,
96
+ "eval_runtime": 0.5568,
97
+ "eval_samples_per_second": 7.184,
98
+ "eval_steps_per_second": 1.796,
99
+ "step": 180
100
+ },
101
+ {
102
+ "epoch": 0.1,
103
+ "grad_norm": 1.2345853900999129,
104
+ "learning_rate": 3.3600000000000004e-05,
105
+ "loss": 1.0139,
106
+ "step": 210
107
+ },
108
+ {
109
+ "epoch": 0.1,
110
+ "eval_loss": 1.0749964714050293,
111
+ "eval_runtime": 0.5592,
112
+ "eval_samples_per_second": 7.153,
113
+ "eval_steps_per_second": 1.788,
114
+ "step": 210
115
+ },
116
+ {
117
+ "epoch": 0.12,
118
+ "grad_norm": 1.2244044739268343,
119
+ "learning_rate": 3.8400000000000005e-05,
120
+ "loss": 1.0034,
121
+ "step": 240
122
+ },
123
+ {
124
+ "epoch": 0.12,
125
+ "eval_loss": 1.0613545179367065,
126
+ "eval_runtime": 0.5589,
127
+ "eval_samples_per_second": 7.157,
128
+ "eval_steps_per_second": 1.789,
129
+ "step": 240
130
+ },
131
+ {
132
+ "epoch": 0.13,
133
+ "grad_norm": 1.0431475291904868,
134
+ "learning_rate": 3.999939500769685e-05,
135
+ "loss": 1.0113,
136
+ "step": 270
137
+ },
138
+ {
139
+ "epoch": 0.13,
140
+ "eval_loss": 1.1293017864227295,
141
+ "eval_runtime": 0.5624,
142
+ "eval_samples_per_second": 7.113,
143
+ "eval_steps_per_second": 1.778,
144
+ "step": 270
145
+ },
146
+ {
147
+ "epoch": 0.14,
148
+ "grad_norm": 1.1355194938997377,
149
+ "learning_rate": 3.9996218898187263e-05,
150
+ "loss": 0.9819,
151
+ "step": 300
152
+ },
153
+ {
154
+ "epoch": 0.14,
155
+ "eval_loss": 1.151803970336914,
156
+ "eval_runtime": 0.5544,
157
+ "eval_samples_per_second": 7.214,
158
+ "eval_steps_per_second": 1.804,
159
+ "step": 300
160
+ },
161
+ {
162
+ "epoch": 0.16,
163
+ "grad_norm": 1.002096318645778,
164
+ "learning_rate": 3.999032085516322e-05,
165
+ "loss": 0.9966,
166
+ "step": 330
167
+ },
168
+ {
169
+ "epoch": 0.16,
170
+ "eval_loss": 1.1503264904022217,
171
+ "eval_runtime": 0.5581,
172
+ "eval_samples_per_second": 7.168,
173
+ "eval_steps_per_second": 1.792,
174
+ "step": 330
175
+ },
176
+ {
177
+ "epoch": 0.17,
178
+ "grad_norm": 1.0441830545655453,
179
+ "learning_rate": 3.998170168148057e-05,
180
+ "loss": 0.993,
181
+ "step": 360
182
+ },
183
+ {
184
+ "epoch": 0.17,
185
+ "eval_loss": 1.1149314641952515,
186
+ "eval_runtime": 0.5612,
187
+ "eval_samples_per_second": 7.128,
188
+ "eval_steps_per_second": 1.782,
189
+ "step": 360
190
+ },
191
+ {
192
+ "epoch": 0.19,
193
+ "grad_norm": 0.9894273776215953,
194
+ "learning_rate": 3.9970362550402e-05,
195
+ "loss": 1.0013,
196
+ "step": 390
197
+ },
198
+ {
199
+ "epoch": 0.19,
200
+ "eval_loss": 1.137695550918579,
201
+ "eval_runtime": 0.5586,
202
+ "eval_samples_per_second": 7.161,
203
+ "eval_steps_per_second": 1.79,
204
+ "step": 390
205
+ },
206
+ {
207
+ "epoch": 0.2,
208
+ "grad_norm": 0.9860155816281625,
209
+ "learning_rate": 3.9956305005437365e-05,
210
+ "loss": 0.9879,
211
+ "step": 420
212
+ },
213
+ {
214
+ "epoch": 0.2,
215
+ "eval_loss": 1.1234393119812012,
216
+ "eval_runtime": 0.5579,
217
+ "eval_samples_per_second": 7.169,
218
+ "eval_steps_per_second": 1.792,
219
+ "step": 420
220
+ },
221
+ {
222
+ "epoch": 0.22,
223
+ "grad_norm": 0.9832922200849178,
224
+ "learning_rate": 3.993953096013357e-05,
225
+ "loss": 0.9752,
226
+ "step": 450
227
+ },
228
+ {
229
+ "epoch": 0.22,
230
+ "eval_loss": 1.1383097171783447,
231
+ "eval_runtime": 0.5607,
232
+ "eval_samples_per_second": 7.134,
233
+ "eval_steps_per_second": 1.783,
234
+ "step": 450
235
+ },
236
+ {
237
+ "epoch": 0.23,
238
+ "grad_norm": 0.8913823988583212,
239
+ "learning_rate": 3.992004269781409e-05,
240
+ "loss": 0.9868,
241
+ "step": 480
242
+ },
243
+ {
244
+ "epoch": 0.23,
245
+ "eval_loss": 1.1235936880111694,
246
+ "eval_runtime": 0.5602,
247
+ "eval_samples_per_second": 7.14,
248
+ "eval_steps_per_second": 1.785,
249
+ "step": 480
250
+ },
251
+ {
252
+ "epoch": 0.24,
253
+ "grad_norm": 0.8982861978725096,
254
+ "learning_rate": 3.989784287126818e-05,
255
+ "loss": 0.9803,
256
+ "step": 510
257
+ },
258
+ {
259
+ "epoch": 0.24,
260
+ "eval_loss": 1.1284420490264893,
261
+ "eval_runtime": 0.5589,
262
+ "eval_samples_per_second": 7.157,
263
+ "eval_steps_per_second": 1.789,
264
+ "step": 510
265
+ },
266
+ {
267
+ "epoch": 0.26,
268
+ "grad_norm": 0.9454352238454017,
269
+ "learning_rate": 3.987293450238972e-05,
270
+ "loss": 0.9898,
271
+ "step": 540
272
+ },
273
+ {
274
+ "epoch": 0.26,
275
+ "eval_loss": 1.120229959487915,
276
+ "eval_runtime": 0.5547,
277
+ "eval_samples_per_second": 7.211,
278
+ "eval_steps_per_second": 1.803,
279
+ "step": 540
280
+ },
281
+ {
282
+ "epoch": 0.27,
283
+ "grad_norm": 0.9889512773502193,
284
+ "learning_rate": 3.984532098176592e-05,
285
+ "loss": 0.9699,
286
+ "step": 570
287
+ },
288
+ {
289
+ "epoch": 0.27,
290
+ "eval_loss": 1.1161502599716187,
291
+ "eval_runtime": 0.5579,
292
+ "eval_samples_per_second": 7.17,
293
+ "eval_steps_per_second": 1.793,
294
+ "step": 570
295
+ },
296
+ {
297
+ "epoch": 0.29,
298
+ "grad_norm": 0.8664429324644183,
299
+ "learning_rate": 3.9815006068215785e-05,
300
+ "loss": 0.9648,
301
+ "step": 600
302
+ },
303
+ {
304
+ "epoch": 0.29,
305
+ "eval_loss": 1.1602427959442139,
306
+ "eval_runtime": 0.5584,
307
+ "eval_samples_per_second": 7.163,
308
+ "eval_steps_per_second": 1.791,
309
+ "step": 600
310
+ },
311
+ {
312
+ "epoch": 0.3,
313
+ "grad_norm": 0.9808847012968992,
314
+ "learning_rate": 3.9781993888278404e-05,
315
+ "loss": 0.9846,
316
+ "step": 630
317
+ },
318
+ {
319
+ "epoch": 0.3,
320
+ "eval_loss": 1.1806962490081787,
321
+ "eval_runtime": 0.5597,
322
+ "eval_samples_per_second": 7.147,
323
+ "eval_steps_per_second": 1.787,
324
+ "step": 630
325
+ },
326
+ {
327
+ "epoch": 0.32,
328
+ "grad_norm": 0.9314218284659608,
329
+ "learning_rate": 3.974628893565128e-05,
330
+ "loss": 0.9738,
331
+ "step": 660
332
+ },
333
+ {
334
+ "epoch": 0.32,
335
+ "eval_loss": 1.135533094406128,
336
+ "eval_runtime": 0.5539,
337
+ "eval_samples_per_second": 7.221,
338
+ "eval_steps_per_second": 1.805,
339
+ "step": 660
340
+ },
341
+ {
342
+ "epoch": 0.33,
343
+ "grad_norm": 0.9227397654305332,
344
+ "learning_rate": 3.970789607057863e-05,
345
+ "loss": 0.9585,
346
+ "step": 690
347
+ },
348
+ {
349
+ "epoch": 0.33,
350
+ "eval_loss": 1.1579846143722534,
351
+ "eval_runtime": 0.5616,
352
+ "eval_samples_per_second": 7.122,
353
+ "eval_steps_per_second": 1.781,
354
+ "step": 690
355
+ },
356
+ {
357
+ "epoch": 0.35,
358
+ "grad_norm": 0.9125734661246961,
359
+ "learning_rate": 3.9666820519189786e-05,
360
+ "loss": 0.9495,
361
+ "step": 720
362
+ },
363
+ {
364
+ "epoch": 0.35,
365
+ "eval_loss": 1.1361984014511108,
366
+ "eval_runtime": 0.5527,
367
+ "eval_samples_per_second": 7.237,
368
+ "eval_steps_per_second": 1.809,
369
+ "step": 720
370
+ },
371
+ {
372
+ "epoch": 0.36,
373
+ "grad_norm": 0.8758759988091239,
374
+ "learning_rate": 3.962306787278781e-05,
375
+ "loss": 0.9618,
376
+ "step": 750
377
+ },
378
+ {
379
+ "epoch": 0.36,
380
+ "eval_loss": 1.1645328998565674,
381
+ "eval_runtime": 0.5589,
382
+ "eval_samples_per_second": 7.157,
383
+ "eval_steps_per_second": 1.789,
384
+ "step": 750
385
+ },
386
+ {
387
+ "epoch": 0.37,
388
+ "grad_norm": 0.8846060065129696,
389
+ "learning_rate": 3.957664408708839e-05,
390
+ "loss": 0.9677,
391
+ "step": 780
392
+ },
393
+ {
394
+ "epoch": 0.37,
395
+ "eval_loss": 1.1109530925750732,
396
+ "eval_runtime": 0.5585,
397
+ "eval_samples_per_second": 7.162,
398
+ "eval_steps_per_second": 1.791,
399
+ "step": 780
400
+ },
401
+ {
402
+ "epoch": 0.39,
403
+ "grad_norm": 0.8483263644995762,
404
+ "learning_rate": 3.9527555481409144e-05,
405
+ "loss": 0.9498,
406
+ "step": 810
407
+ },
408
+ {
409
+ "epoch": 0.39,
410
+ "eval_loss": 1.140505075454712,
411
+ "eval_runtime": 0.5565,
412
+ "eval_samples_per_second": 7.188,
413
+ "eval_steps_per_second": 1.797,
414
+ "step": 810
415
+ },
416
+ {
417
+ "epoch": 0.4,
418
+ "grad_norm": 0.9019276325326514,
419
+ "learning_rate": 3.947580873780938e-05,
420
+ "loss": 0.963,
421
+ "step": 840
422
+ },
423
+ {
424
+ "epoch": 0.4,
425
+ "eval_loss": 1.140986442565918,
426
+ "eval_runtime": 0.5552,
427
+ "eval_samples_per_second": 7.205,
428
+ "eval_steps_per_second": 1.801,
429
+ "step": 840
430
+ },
431
+ {
432
+ "epoch": 0.42,
433
+ "grad_norm": 0.8514201087836062,
434
+ "learning_rate": 3.942141090018057e-05,
435
+ "loss": 0.9384,
436
+ "step": 870
437
+ },
438
+ {
439
+ "epoch": 0.42,
440
+ "eval_loss": 1.1474781036376953,
441
+ "eval_runtime": 0.5558,
442
+ "eval_samples_per_second": 7.197,
443
+ "eval_steps_per_second": 1.799,
444
+ "step": 870
445
+ },
446
+ {
447
+ "epoch": 0.43,
448
+ "grad_norm": 0.9146315304499618,
449
+ "learning_rate": 3.9364369373287495e-05,
450
+ "loss": 0.9631,
451
+ "step": 900
452
+ },
453
+ {
454
+ "epoch": 0.43,
455
+ "eval_loss": 1.177463173866272,
456
+ "eval_runtime": 0.561,
457
+ "eval_samples_per_second": 7.13,
458
+ "eval_steps_per_second": 1.783,
459
+ "step": 900
460
+ },
461
+ {
462
+ "epoch": 0.45,
463
+ "grad_norm": 0.802994086627822,
464
+ "learning_rate": 3.930469192176029e-05,
465
+ "loss": 0.9515,
466
+ "step": 930
467
+ },
468
+ {
469
+ "epoch": 0.45,
470
+ "eval_loss": 1.1355152130126953,
471
+ "eval_runtime": 0.5569,
472
+ "eval_samples_per_second": 7.182,
473
+ "eval_steps_per_second": 1.796,
474
+ "step": 930
475
+ },
476
+ {
477
+ "epoch": 0.46,
478
+ "grad_norm": 0.8990934982164889,
479
+ "learning_rate": 3.9242386669037495e-05,
480
+ "loss": 0.9578,
481
+ "step": 960
482
+ },
483
+ {
484
+ "epoch": 0.46,
485
+ "eval_loss": 1.1421607732772827,
486
+ "eval_runtime": 0.5609,
487
+ "eval_samples_per_second": 7.131,
488
+ "eval_steps_per_second": 1.783,
489
+ "step": 960
490
+ },
491
+ {
492
+ "epoch": 0.48,
493
+ "grad_norm": 0.8585673645933002,
494
+ "learning_rate": 3.9177462096260285e-05,
495
+ "loss": 0.9415,
496
+ "step": 990
497
+ },
498
+ {
499
+ "epoch": 0.48,
500
+ "eval_loss": 1.1663556098937988,
501
+ "eval_runtime": 0.558,
502
+ "eval_samples_per_second": 7.169,
503
+ "eval_steps_per_second": 1.792,
504
+ "step": 990
505
+ },
506
+ {
507
+ "epoch": 0.49,
508
+ "grad_norm": 0.7615696788440944,
509
+ "learning_rate": 3.9109927041118005e-05,
510
+ "loss": 0.9387,
511
+ "step": 1020
512
+ },
513
+ {
514
+ "epoch": 0.49,
515
+ "eval_loss": 1.107798457145691,
516
+ "eval_runtime": 0.5589,
517
+ "eval_samples_per_second": 7.157,
518
+ "eval_steps_per_second": 1.789,
519
+ "step": 1020
520
+ },
521
+ {
522
+ "epoch": 0.5,
523
+ "grad_norm": 0.8343416810061398,
524
+ "learning_rate": 3.903979069664514e-05,
525
+ "loss": 0.9338,
526
+ "step": 1050
527
+ },
528
+ {
529
+ "epoch": 0.5,
530
+ "eval_loss": 1.1265822649002075,
531
+ "eval_runtime": 0.5573,
532
+ "eval_samples_per_second": 7.177,
533
+ "eval_steps_per_second": 1.794,
534
+ "step": 1050
535
+ },
536
+ {
537
+ "epoch": 0.52,
538
+ "grad_norm": 0.8787917026949466,
539
+ "learning_rate": 3.896706260996995e-05,
540
+ "loss": 0.9499,
541
+ "step": 1080
542
+ },
543
+ {
544
+ "epoch": 0.52,
545
+ "eval_loss": 1.1402231454849243,
546
+ "eval_runtime": 0.5556,
547
+ "eval_samples_per_second": 7.199,
548
+ "eval_steps_per_second": 1.8,
549
+ "step": 1080
550
+ },
551
+ {
552
+ "epoch": 0.53,
553
+ "grad_norm": 0.8146261574653946,
554
+ "learning_rate": 3.8891752681014904e-05,
555
+ "loss": 0.9511,
556
+ "step": 1110
557
+ },
558
+ {
559
+ "epoch": 0.53,
560
+ "eval_loss": 1.1247859001159668,
561
+ "eval_runtime": 0.5614,
562
+ "eval_samples_per_second": 7.125,
563
+ "eval_steps_per_second": 1.781,
564
+ "step": 1110
565
+ },
566
+ {
567
+ "epoch": 0.55,
568
+ "grad_norm": 0.8346263053254463,
569
+ "learning_rate": 3.8813871161149053e-05,
570
+ "loss": 0.9459,
571
+ "step": 1140
572
+ },
573
+ {
574
+ "epoch": 0.55,
575
+ "eval_loss": 1.155929446220398,
576
+ "eval_runtime": 0.5621,
577
+ "eval_samples_per_second": 7.117,
578
+ "eval_steps_per_second": 1.779,
579
+ "step": 1140
580
+ },
581
+ {
582
+ "epoch": 0.56,
583
+ "grad_norm": 0.8766772464417112,
584
+ "learning_rate": 3.873342865179259e-05,
585
+ "loss": 0.9293,
586
+ "step": 1170
587
+ },
588
+ {
589
+ "epoch": 0.56,
590
+ "eval_loss": 1.056406855583191,
591
+ "eval_runtime": 0.5534,
592
+ "eval_samples_per_second": 7.228,
593
+ "eval_steps_per_second": 1.807,
594
+ "step": 1170
595
+ },
596
+ {
597
+ "epoch": 0.58,
598
+ "grad_norm": 0.7763657825441121,
599
+ "learning_rate": 3.86504361029738e-05,
600
+ "loss": 0.9322,
601
+ "step": 1200
602
+ },
603
+ {
604
+ "epoch": 0.58,
605
+ "eval_loss": 1.0825164318084717,
606
+ "eval_runtime": 0.5572,
607
+ "eval_samples_per_second": 7.179,
608
+ "eval_steps_per_second": 1.795,
609
+ "step": 1200
610
+ },
611
+ {
612
+ "epoch": 0.59,
613
+ "grad_norm": 0.8387649732582555,
614
+ "learning_rate": 3.856490481183847e-05,
615
+ "loss": 0.924,
616
+ "step": 1230
617
+ },
618
+ {
619
+ "epoch": 0.59,
620
+ "eval_loss": 1.1075164079666138,
621
+ "eval_runtime": 0.5568,
622
+ "eval_samples_per_second": 7.184,
623
+ "eval_steps_per_second": 1.796,
624
+ "step": 1230
625
+ },
626
+ {
627
+ "epoch": 0.61,
628
+ "grad_norm": 0.7896889685040874,
629
+ "learning_rate": 3.8476846421112096e-05,
630
+ "loss": 0.9277,
631
+ "step": 1260
632
+ },
633
+ {
634
+ "epoch": 0.61,
635
+ "eval_loss": 1.1195158958435059,
636
+ "eval_runtime": 0.5591,
637
+ "eval_samples_per_second": 7.154,
638
+ "eval_steps_per_second": 1.789,
639
+ "step": 1260
640
+ },
641
+ {
642
+ "epoch": 0.62,
643
+ "grad_norm": 0.844041645637629,
644
+ "learning_rate": 3.8386272917515086e-05,
645
+ "loss": 0.9311,
646
+ "step": 1290
647
+ },
648
+ {
649
+ "epoch": 0.62,
650
+ "eval_loss": 1.1050487756729126,
651
+ "eval_runtime": 0.5585,
652
+ "eval_samples_per_second": 7.162,
653
+ "eval_steps_per_second": 1.79,
654
+ "step": 1290
655
+ },
656
+ {
657
+ "epoch": 0.63,
658
+ "grad_norm": 0.7681851654349889,
659
+ "learning_rate": 3.829319663013106e-05,
660
+ "loss": 0.9192,
661
+ "step": 1320
662
+ },
663
+ {
664
+ "epoch": 0.63,
665
+ "eval_loss": 1.0749808549880981,
666
+ "eval_runtime": 0.5609,
667
+ "eval_samples_per_second": 7.132,
668
+ "eval_steps_per_second": 1.783,
669
+ "step": 1320
670
+ },
671
+ {
672
+ "epoch": 0.65,
673
+ "grad_norm": 0.8605223155980966,
674
+ "learning_rate": 3.819763022872861e-05,
675
+ "loss": 0.9442,
676
+ "step": 1350
677
+ },
678
+ {
679
+ "epoch": 0.65,
680
+ "eval_loss": 1.117114782333374,
681
+ "eval_runtime": 0.5601,
682
+ "eval_samples_per_second": 7.142,
683
+ "eval_steps_per_second": 1.785,
684
+ "step": 1350
685
+ },
686
+ {
687
+ "epoch": 0.66,
688
+ "grad_norm": 0.7918110282272083,
689
+ "learning_rate": 3.809958672203663e-05,
690
+ "loss": 0.9285,
691
+ "step": 1380
692
+ },
693
+ {
694
+ "epoch": 0.66,
695
+ "eval_loss": 1.0994510650634766,
696
+ "eval_runtime": 0.5614,
697
+ "eval_samples_per_second": 7.125,
698
+ "eval_steps_per_second": 1.781,
699
+ "step": 1380
700
+ },
701
+ {
702
+ "epoch": 0.68,
703
+ "grad_norm": 0.9217033677356604,
704
+ "learning_rate": 3.799907945597359e-05,
705
+ "loss": 0.9209,
706
+ "step": 1410
707
+ },
708
+ {
709
+ "epoch": 0.68,
710
+ "eval_loss": 1.0954455137252808,
711
+ "eval_runtime": 0.5629,
712
+ "eval_samples_per_second": 7.106,
713
+ "eval_steps_per_second": 1.777,
714
+ "step": 1410
715
+ },
716
+ {
717
+ "epoch": 0.69,
718
+ "grad_norm": 0.8034429414026776,
719
+ "learning_rate": 3.789612211183079e-05,
720
+ "loss": 0.9118,
721
+ "step": 1440
722
+ },
723
+ {
724
+ "epoch": 0.69,
725
+ "eval_loss": 1.0785255432128906,
726
+ "eval_runtime": 0.5567,
727
+ "eval_samples_per_second": 7.185,
728
+ "eval_steps_per_second": 1.796,
729
+ "step": 1440
730
+ },
731
+ {
732
+ "epoch": 0.71,
733
+ "grad_norm": 0.7842181753550963,
734
+ "learning_rate": 3.779072870441009e-05,
735
+ "loss": 0.9255,
736
+ "step": 1470
737
+ },
738
+ {
739
+ "epoch": 0.71,
740
+ "eval_loss": 1.058296799659729,
741
+ "eval_runtime": 0.555,
742
+ "eval_samples_per_second": 7.207,
743
+ "eval_steps_per_second": 1.802,
744
+ "step": 1470
745
+ },
746
+ {
747
+ "epoch": 0.72,
748
+ "grad_norm": 0.7996464468442931,
749
+ "learning_rate": 3.768291358011613e-05,
750
+ "loss": 0.9351,
751
+ "step": 1500
752
+ },
753
+ {
754
+ "epoch": 0.72,
755
+ "eval_loss": 1.0723786354064941,
756
+ "eval_runtime": 0.5664,
757
+ "eval_samples_per_second": 7.063,
758
+ "eval_steps_per_second": 1.766,
759
+ "step": 1500
760
+ },
761
+ {
762
+ "epoch": 0.73,
763
+ "grad_norm": 0.7695046197488054,
764
+ "learning_rate": 3.757269141500352e-05,
765
+ "loss": 0.9284,
766
+ "step": 1530
767
+ },
768
+ {
769
+ "epoch": 0.73,
770
+ "eval_loss": 1.0894200801849365,
771
+ "eval_runtime": 0.5634,
772
+ "eval_samples_per_second": 7.1,
773
+ "eval_steps_per_second": 1.775,
774
+ "step": 1530
775
+ },
776
+ {
777
+ "epoch": 0.75,
778
+ "grad_norm": 0.7721868573404526,
779
+ "learning_rate": 3.7460077212779035e-05,
780
+ "loss": 0.9164,
781
+ "step": 1560
782
+ },
783
+ {
784
+ "epoch": 0.75,
785
+ "eval_loss": 1.0501906871795654,
786
+ "eval_runtime": 0.5647,
787
+ "eval_samples_per_second": 7.084,
788
+ "eval_steps_per_second": 1.771,
789
+ "step": 1560
790
+ },
791
+ {
792
+ "epoch": 0.76,
793
+ "grad_norm": 0.7866789547512432,
794
+ "learning_rate": 3.734508630275932e-05,
795
+ "loss": 0.9159,
796
+ "step": 1590
797
+ },
798
+ {
799
+ "epoch": 0.76,
800
+ "eval_loss": 1.064911127090454,
801
+ "eval_runtime": 0.5614,
802
+ "eval_samples_per_second": 7.125,
803
+ "eval_steps_per_second": 1.781,
804
+ "step": 1590
805
+ },
806
+ {
807
+ "epoch": 0.78,
808
+ "grad_norm": 0.9455983803978201,
809
+ "learning_rate": 3.722773433778423e-05,
810
+ "loss": 0.9137,
811
+ "step": 1620
812
+ },
813
+ {
814
+ "epoch": 0.78,
815
+ "eval_loss": 1.0576999187469482,
816
+ "eval_runtime": 0.5617,
817
+ "eval_samples_per_second": 7.122,
818
+ "eval_steps_per_second": 1.78,
819
+ "step": 1620
820
+ },
821
+ {
822
+ "epoch": 0.79,
823
+ "grad_norm": 0.813819105428533,
824
+ "learning_rate": 3.710803729208609e-05,
825
+ "loss": 0.9284,
826
+ "step": 1650
827
+ },
828
+ {
829
+ "epoch": 0.79,
830
+ "eval_loss": 1.0807015895843506,
831
+ "eval_runtime": 0.5652,
832
+ "eval_samples_per_second": 7.077,
833
+ "eval_steps_per_second": 1.769,
834
+ "step": 1650
835
+ },
836
+ {
837
+ "epoch": 0.81,
838
+ "grad_norm": 0.8764908329115464,
839
+ "learning_rate": 3.6986011459115274e-05,
840
+ "loss": 0.9194,
841
+ "step": 1680
842
+ },
843
+ {
844
+ "epoch": 0.81,
845
+ "eval_loss": 1.1170496940612793,
846
+ "eval_runtime": 0.5626,
847
+ "eval_samples_per_second": 7.11,
848
+ "eval_steps_per_second": 1.778,
849
+ "step": 1680
850
+ },
851
+ {
852
+ "epoch": 0.82,
853
+ "grad_norm": 0.7939056270057047,
854
+ "learning_rate": 3.6861673449322294e-05,
855
+ "loss": 0.9138,
856
+ "step": 1710
857
+ },
858
+ {
859
+ "epoch": 0.82,
860
+ "eval_loss": 1.043514609336853,
861
+ "eval_runtime": 0.5671,
862
+ "eval_samples_per_second": 7.053,
863
+ "eval_steps_per_second": 1.763,
864
+ "step": 1710
865
+ },
866
+ {
867
+ "epoch": 0.84,
868
+ "grad_norm": 0.8041456979314675,
869
+ "learning_rate": 3.673504018789674e-05,
870
+ "loss": 0.9171,
871
+ "step": 1740
872
+ },
873
+ {
874
+ "epoch": 0.84,
875
+ "eval_loss": 1.056423544883728,
876
+ "eval_runtime": 0.5639,
877
+ "eval_samples_per_second": 7.093,
878
+ "eval_steps_per_second": 1.773,
879
+ "step": 1740
880
+ },
881
+ {
882
+ "epoch": 0.85,
883
+ "grad_norm": 0.7753386719779899,
884
+ "learning_rate": 3.660612891246338e-05,
885
+ "loss": 0.9152,
886
+ "step": 1770
887
+ },
888
+ {
889
+ "epoch": 0.85,
890
+ "eval_loss": 1.0508358478546143,
891
+ "eval_runtime": 0.5642,
892
+ "eval_samples_per_second": 7.089,
893
+ "eval_steps_per_second": 1.772,
894
+ "step": 1770
895
+ },
896
+ {
897
+ "epoch": 0.86,
898
+ "grad_norm": 0.7914888664595032,
899
+ "learning_rate": 3.6474957170735755e-05,
900
+ "loss": 0.9204,
901
+ "step": 1800
902
+ },
903
+ {
904
+ "epoch": 0.86,
905
+ "eval_loss": 1.0375233888626099,
906
+ "eval_runtime": 0.5611,
907
+ "eval_samples_per_second": 7.129,
908
+ "eval_steps_per_second": 1.782,
909
+ "step": 1800
910
+ },
911
+ {
912
+ "epoch": 0.88,
913
+ "grad_norm": 0.7788736799431811,
914
+ "learning_rate": 3.634154281812753e-05,
915
+ "loss": 0.9156,
916
+ "step": 1830
917
+ },
918
+ {
919
+ "epoch": 0.88,
920
+ "eval_loss": 1.063939094543457,
921
+ "eval_runtime": 0.5619,
922
+ "eval_samples_per_second": 7.119,
923
+ "eval_steps_per_second": 1.78,
924
+ "step": 1830
925
+ },
926
+ {
927
+ "epoch": 0.89,
928
+ "grad_norm": 0.7336792812810264,
929
+ "learning_rate": 3.620590401532194e-05,
930
+ "loss": 0.9014,
931
+ "step": 1860
932
+ },
933
+ {
934
+ "epoch": 0.89,
935
+ "eval_loss": 1.0614831447601318,
936
+ "eval_runtime": 0.5626,
937
+ "eval_samples_per_second": 7.109,
938
+ "eval_steps_per_second": 1.777,
939
+ "step": 1860
940
+ },
941
+ {
942
+ "epoch": 0.91,
943
+ "grad_norm": 0.7967758593948572,
944
+ "learning_rate": 3.6068059225799775e-05,
945
+ "loss": 0.9137,
946
+ "step": 1890
947
+ },
948
+ {
949
+ "epoch": 0.91,
950
+ "eval_loss": 1.1221044063568115,
951
+ "eval_runtime": 0.5601,
952
+ "eval_samples_per_second": 7.142,
953
+ "eval_steps_per_second": 1.785,
954
+ "step": 1890
955
+ },
956
+ {
957
+ "epoch": 0.92,
958
+ "grad_norm": 0.8091540055356147,
959
+ "learning_rate": 3.592802721332603e-05,
960
+ "loss": 0.9047,
961
+ "step": 1920
962
+ },
963
+ {
964
+ "epoch": 0.92,
965
+ "eval_loss": 1.113644003868103,
966
+ "eval_runtime": 0.564,
967
+ "eval_samples_per_second": 7.092,
968
+ "eval_steps_per_second": 1.773,
969
+ "step": 1920
970
+ },
971
+ {
972
+ "epoch": 0.94,
973
+ "grad_norm": 0.7336591291121157,
974
+ "learning_rate": 3.5785827039395786e-05,
975
+ "loss": 0.9096,
976
+ "step": 1950
977
+ },
978
+ {
979
+ "epoch": 0.94,
980
+ "eval_loss": 1.1049702167510986,
981
+ "eval_runtime": 0.5518,
982
+ "eval_samples_per_second": 7.249,
983
+ "eval_steps_per_second": 1.812,
984
+ "step": 1950
985
+ },
986
+ {
987
+ "epoch": 0.95,
988
+ "grad_norm": 0.9010245369928321,
989
+ "learning_rate": 3.5641478060639455e-05,
990
+ "loss": 0.9169,
991
+ "step": 1980
992
+ },
993
+ {
994
+ "epoch": 0.95,
995
+ "eval_loss": 1.0915415287017822,
996
+ "eval_runtime": 0.5617,
997
+ "eval_samples_per_second": 7.121,
998
+ "eval_steps_per_second": 1.78,
999
+ "step": 1980
1000
+ },
1001
+ {
1002
+ "epoch": 0.97,
1003
+ "grad_norm": 0.7853376659918098,
1004
+ "learning_rate": 3.549499992618796e-05,
1005
+ "loss": 0.9154,
1006
+ "step": 2010
1007
+ },
1008
+ {
1009
+ "epoch": 0.97,
1010
+ "eval_loss": 1.0784239768981934,
1011
+ "eval_runtime": 0.5553,
1012
+ "eval_samples_per_second": 7.203,
1013
+ "eval_steps_per_second": 1.801,
1014
+ "step": 2010
1015
+ },
1016
+ {
1017
+ "epoch": 0.98,
1018
+ "grad_norm": 0.7556103808313751,
1019
+ "learning_rate": 3.5346412574998034e-05,
1020
+ "loss": 0.9125,
1021
+ "step": 2040
1022
+ },
1023
+ {
1024
+ "epoch": 0.98,
1025
+ "eval_loss": 1.0577061176300049,
1026
+ "eval_runtime": 0.559,
1027
+ "eval_samples_per_second": 7.156,
1028
+ "eval_steps_per_second": 1.789,
1029
+ "step": 2040
1030
+ },
1031
+ {
1032
+ "epoch": 0.99,
1033
+ "grad_norm": 0.7274181467358091,
1034
+ "learning_rate": 3.519573623313807e-05,
1035
+ "loss": 0.8991,
1036
+ "step": 2070
1037
+ },
1038
+ {
1039
+ "epoch": 0.99,
1040
+ "eval_loss": 1.0430834293365479,
1041
+ "eval_runtime": 0.5618,
1042
+ "eval_samples_per_second": 7.12,
1043
+ "eval_steps_per_second": 1.78,
1044
+ "step": 2070
1045
+ },
1046
+ {
1047
+ "epoch": 1.01,
1048
+ "grad_norm": 0.8444109296811467,
1049
+ "learning_rate": 3.50429914110349e-05,
1050
+ "loss": 0.7581,
1051
+ "step": 2100
1052
+ },
1053
+ {
1054
+ "epoch": 1.01,
1055
+ "eval_loss": 1.156642198562622,
1056
+ "eval_runtime": 0.5616,
1057
+ "eval_samples_per_second": 7.123,
1058
+ "eval_steps_per_second": 1.781,
1059
+ "step": 2100
1060
+ },
1061
+ {
1062
+ "epoch": 1.02,
1063
+ "grad_norm": 0.8177345871017364,
1064
+ "learning_rate": 3.4888198900681877e-05,
1065
+ "loss": 0.6328,
1066
+ "step": 2130
1067
+ },
1068
+ {
1069
+ "epoch": 1.02,
1070
+ "eval_loss": 1.141777753829956,
1071
+ "eval_runtime": 0.564,
1072
+ "eval_samples_per_second": 7.092,
1073
+ "eval_steps_per_second": 1.773,
1074
+ "step": 2130
1075
+ },
1076
+ {
1077
+ "epoch": 1.04,
1078
+ "grad_norm": 0.8337632078158784,
1079
+ "learning_rate": 3.4731379772808616e-05,
1080
+ "loss": 0.6323,
1081
+ "step": 2160
1082
+ },
1083
+ {
1084
+ "epoch": 1.04,
1085
+ "eval_loss": 1.1533713340759277,
1086
+ "eval_runtime": 0.5616,
1087
+ "eval_samples_per_second": 7.123,
1088
+ "eval_steps_per_second": 1.781,
1089
+ "step": 2160
1090
+ },
1091
+ {
1092
+ "epoch": 1.05,
1093
+ "grad_norm": 0.9013587928760545,
1094
+ "learning_rate": 3.45725553740128e-05,
1095
+ "loss": 0.6355,
1096
+ "step": 2190
1097
+ },
1098
+ {
1099
+ "epoch": 1.05,
1100
+ "eval_loss": 1.1193175315856934,
1101
+ "eval_runtime": 0.5622,
1102
+ "eval_samples_per_second": 7.115,
1103
+ "eval_steps_per_second": 1.779,
1104
+ "step": 2190
1105
+ },
1106
+ {
1107
+ "epoch": 1.07,
1108
+ "grad_norm": 0.9233940860823125,
1109
+ "learning_rate": 3.441174732385441e-05,
1110
+ "loss": 0.6318,
1111
+ "step": 2220
1112
+ },
1113
+ {
1114
+ "epoch": 1.07,
1115
+ "eval_loss": 1.1091649532318115,
1116
+ "eval_runtime": 0.5603,
1117
+ "eval_samples_per_second": 7.139,
1118
+ "eval_steps_per_second": 1.785,
1119
+ "step": 2220
1120
+ },
1121
+ {
1122
+ "epoch": 1.08,
1123
+ "grad_norm": 0.9317253505947287,
1124
+ "learning_rate": 3.424897751191284e-05,
1125
+ "loss": 0.6394,
1126
+ "step": 2250
1127
+ },
1128
+ {
1129
+ "epoch": 1.08,
1130
+ "eval_loss": 1.117910623550415,
1131
+ "eval_runtime": 0.557,
1132
+ "eval_samples_per_second": 7.181,
1133
+ "eval_steps_per_second": 1.795,
1134
+ "step": 2250
1135
+ },
1136
+ {
1137
+ "epoch": 1.1,
1138
+ "grad_norm": 0.8336539692567165,
1139
+ "learning_rate": 3.4084268094807226e-05,
1140
+ "loss": 0.635,
1141
+ "step": 2280
1142
+ },
1143
+ {
1144
+ "epoch": 1.1,
1145
+ "eval_loss": 1.0903522968292236,
1146
+ "eval_runtime": 0.5665,
1147
+ "eval_samples_per_second": 7.061,
1148
+ "eval_steps_per_second": 1.765,
1149
+ "step": 2280
1150
+ },
1151
+ {
1152
+ "epoch": 1.11,
1153
+ "grad_norm": 0.8077068468195864,
1154
+ "learning_rate": 3.3917641493180435e-05,
1155
+ "loss": 0.6439,
1156
+ "step": 2310
1157
+ },
1158
+ {
1159
+ "epoch": 1.11,
1160
+ "eval_loss": 1.122206211090088,
1161
+ "eval_runtime": 0.562,
1162
+ "eval_samples_per_second": 7.118,
1163
+ "eval_steps_per_second": 1.78,
1164
+ "step": 2310
1165
+ },
1166
+ {
1167
+ "epoch": 1.12,
1168
+ "grad_norm": 0.9314234159417707,
1169
+ "learning_rate": 3.37491203886471e-05,
1170
+ "loss": 0.6426,
1171
+ "step": 2340
1172
+ },
1173
+ {
1174
+ "epoch": 1.12,
1175
+ "eval_loss": 1.1049784421920776,
1176
+ "eval_runtime": 0.5556,
1177
+ "eval_samples_per_second": 7.2,
1178
+ "eval_steps_per_second": 1.8,
1179
+ "step": 2340
1180
+ },
1181
+ {
1182
+ "epoch": 1.14,
1183
+ "grad_norm": 0.8825401355042614,
1184
+ "learning_rate": 3.357872772070618e-05,
1185
+ "loss": 0.6433,
1186
+ "step": 2370
1187
+ },
1188
+ {
1189
+ "epoch": 1.14,
1190
+ "eval_loss": 1.106252670288086,
1191
+ "eval_runtime": 0.5551,
1192
+ "eval_samples_per_second": 7.206,
1193
+ "eval_steps_per_second": 1.801,
1194
+ "step": 2370
1195
+ },
1196
+ {
1197
+ "epoch": 1.15,
1198
+ "grad_norm": 0.9680535038973261,
1199
+ "learning_rate": 3.340648668361834e-05,
1200
+ "loss": 0.6335,
1201
+ "step": 2400
1202
+ },
1203
+ {
1204
+ "epoch": 1.15,
1205
+ "eval_loss": 1.1095067262649536,
1206
+ "eval_runtime": 0.5583,
1207
+ "eval_samples_per_second": 7.165,
1208
+ "eval_steps_per_second": 1.791,
1209
+ "step": 2400
1210
+ },
1211
+ {
1212
+ "epoch": 1.17,
1213
+ "grad_norm": 0.8476424452250282,
1214
+ "learning_rate": 3.32324207232487e-05,
1215
+ "loss": 0.6304,
1216
+ "step": 2430
1217
+ },
1218
+ {
1219
+ "epoch": 1.17,
1220
+ "eval_loss": 1.0738136768341064,
1221
+ "eval_runtime": 0.56,
1222
+ "eval_samples_per_second": 7.143,
1223
+ "eval_steps_per_second": 1.786,
1224
+ "step": 2430
1225
+ },
1226
+ {
1227
+ "epoch": 1.18,
1228
+ "grad_norm": 0.8761272684066781,
1229
+ "learning_rate": 3.3056553533875356e-05,
1230
+ "loss": 0.6356,
1231
+ "step": 2460
1232
+ },
1233
+ {
1234
+ "epoch": 1.18,
1235
+ "eval_loss": 1.0922038555145264,
1236
+ "eval_runtime": 0.5562,
1237
+ "eval_samples_per_second": 7.192,
1238
+ "eval_steps_per_second": 1.798,
1239
+ "step": 2460
1240
+ },
1241
+ {
1242
+ "epoch": 1.2,
1243
+ "grad_norm": 0.9176083769422828,
1244
+ "learning_rate": 3.287890905496403e-05,
1245
+ "loss": 0.6355,
1246
+ "step": 2490
1247
+ },
1248
+ {
1249
+ "epoch": 1.2,
1250
+ "eval_loss": 1.0953761339187622,
1251
+ "eval_runtime": 0.5615,
1252
+ "eval_samples_per_second": 7.124,
1253
+ "eval_steps_per_second": 1.781,
1254
+ "step": 2490
1255
+ },
1256
+ {
1257
+ "epoch": 1.21,
1258
+ "grad_norm": 0.9429629467429161,
1259
+ "learning_rate": 3.2699511467909366e-05,
1260
+ "loss": 0.6443,
1261
+ "step": 2520
1262
+ },
1263
+ {
1264
+ "epoch": 1.21,
1265
+ "eval_loss": 1.119952917098999,
1266
+ "eval_runtime": 0.5641,
1267
+ "eval_samples_per_second": 7.091,
1268
+ "eval_steps_per_second": 1.773,
1269
+ "step": 2520
1270
+ },
1271
+ {
1272
+ "epoch": 1.22,
1273
+ "grad_norm": 0.8519677080597838,
1274
+ "learning_rate": 3.251838519274333e-05,
1275
+ "loss": 0.6383,
1276
+ "step": 2550
1277
+ },
1278
+ {
1279
+ "epoch": 1.22,
1280
+ "eval_loss": 1.087357997894287,
1281
+ "eval_runtime": 0.5587,
1282
+ "eval_samples_per_second": 7.16,
1283
+ "eval_steps_per_second": 1.79,
1284
+ "step": 2550
1285
+ },
1286
+ {
1287
+ "epoch": 1.24,
1288
+ "grad_norm": 0.8317415997019414,
1289
+ "learning_rate": 3.2335554884811094e-05,
1290
+ "loss": 0.6369,
1291
+ "step": 2580
1292
+ },
1293
+ {
1294
+ "epoch": 1.24,
1295
+ "eval_loss": 1.0768706798553467,
1296
+ "eval_runtime": 0.5612,
1297
+ "eval_samples_per_second": 7.127,
1298
+ "eval_steps_per_second": 1.782,
1299
+ "step": 2580
1300
+ },
1301
+ {
1302
+ "epoch": 1.25,
1303
+ "grad_norm": 0.9262932278505193,
1304
+ "learning_rate": 3.215104543141483e-05,
1305
+ "loss": 0.6411,
1306
+ "step": 2610
1307
+ },
1308
+ {
1309
+ "epoch": 1.25,
1310
+ "eval_loss": 1.0815571546554565,
1311
+ "eval_runtime": 0.5655,
1312
+ "eval_samples_per_second": 7.073,
1313
+ "eval_steps_per_second": 1.768,
1314
+ "step": 2610
1315
+ },
1316
+ {
1317
+ "epoch": 1.27,
1318
+ "grad_norm": 0.8965871561409847,
1319
+ "learning_rate": 3.1964881948426095e-05,
1320
+ "loss": 0.6427,
1321
+ "step": 2640
1322
+ },
1323
+ {
1324
+ "epoch": 1.27,
1325
+ "eval_loss": 1.0796209573745728,
1326
+ "eval_runtime": 0.5604,
1327
+ "eval_samples_per_second": 7.137,
1328
+ "eval_steps_per_second": 1.784,
1329
+ "step": 2640
1330
+ },
1331
+ {
1332
+ "epoch": 1.28,
1333
+ "grad_norm": 0.9342624097169002,
1334
+ "learning_rate": 3.177708977686691e-05,
1335
+ "loss": 0.6401,
1336
+ "step": 2670
1337
+ },
1338
+ {
1339
+ "epoch": 1.28,
1340
+ "eval_loss": 1.0979222059249878,
1341
+ "eval_runtime": 0.5628,
1342
+ "eval_samples_per_second": 7.107,
1343
+ "eval_steps_per_second": 1.777,
1344
+ "step": 2670
1345
+ },
1346
+ {
1347
+ "epoch": 1.3,
1348
+ "grad_norm": 0.8060621195627613,
1349
+ "learning_rate": 3.1587694479460295e-05,
1350
+ "loss": 0.6398,
1351
+ "step": 2700
1352
+ },
1353
+ {
1354
+ "epoch": 1.3,
1355
+ "eval_loss": 1.090583086013794,
1356
+ "eval_runtime": 0.5581,
1357
+ "eval_samples_per_second": 7.167,
1358
+ "eval_steps_per_second": 1.792,
1359
+ "step": 2700
1360
+ },
1361
+ {
1362
+ "epoch": 1.31,
1363
+ "grad_norm": 1.0120855676595921,
1364
+ "learning_rate": 3.139672183715065e-05,
1365
+ "loss": 0.6455,
1366
+ "step": 2730
1367
+ },
1368
+ {
1369
+ "epoch": 1.31,
1370
+ "eval_loss": 1.076340913772583,
1371
+ "eval_runtime": 0.5506,
1372
+ "eval_samples_per_second": 7.265,
1373
+ "eval_steps_per_second": 1.816,
1374
+ "step": 2730
1375
+ },
1376
+ {
1377
+ "epoch": 1.33,
1378
+ "grad_norm": 0.8279633860223412,
1379
+ "learning_rate": 3.1204197845594374e-05,
1380
+ "loss": 0.6404,
1381
+ "step": 2760
1382
+ },
1383
+ {
1384
+ "epoch": 1.33,
1385
+ "eval_loss": 1.1073503494262695,
1386
+ "eval_runtime": 0.5602,
1387
+ "eval_samples_per_second": 7.14,
1388
+ "eval_steps_per_second": 1.785,
1389
+ "step": 2760
1390
+ },
1391
+ {
1392
+ "epoch": 1.34,
1393
+ "grad_norm": 0.8557038781436789,
1394
+ "learning_rate": 3.101014871162124e-05,
1395
+ "loss": 0.6447,
1396
+ "step": 2790
1397
+ },
1398
+ {
1399
+ "epoch": 1.34,
1400
+ "eval_loss": 1.1301687955856323,
1401
+ "eval_runtime": 0.5575,
1402
+ "eval_samples_per_second": 7.175,
1403
+ "eval_steps_per_second": 1.794,
1404
+ "step": 2790
1405
+ },
1406
+ {
1407
+ "epoch": 1.35,
1408
+ "grad_norm": 0.8848283530229999,
1409
+ "learning_rate": 3.0814600849667086e-05,
1410
+ "loss": 0.6376,
1411
+ "step": 2820
1412
+ },
1413
+ {
1414
+ "epoch": 1.35,
1415
+ "eval_loss": 1.0906646251678467,
1416
+ "eval_runtime": 0.5606,
1417
+ "eval_samples_per_second": 7.135,
1418
+ "eval_steps_per_second": 1.784,
1419
+ "step": 2820
1420
+ },
1421
+ {
1422
+ "epoch": 1.37,
1423
+ "grad_norm": 0.820872374997884,
1424
+ "learning_rate": 3.061758087817822e-05,
1425
+ "loss": 0.6497,
1426
+ "step": 2850
1427
+ },
1428
+ {
1429
+ "epoch": 1.37,
1430
+ "eval_loss": 1.0533320903778076,
1431
+ "eval_runtime": 0.5607,
1432
+ "eval_samples_per_second": 7.135,
1433
+ "eval_steps_per_second": 1.784,
1434
+ "step": 2850
1435
+ },
1436
+ {
1437
+ "epoch": 1.38,
1438
+ "grad_norm": 0.8755792073523442,
1439
+ "learning_rate": 3.041911561598807e-05,
1440
+ "loss": 0.642,
1441
+ "step": 2880
1442
+ },
1443
+ {
1444
+ "epoch": 1.38,
1445
+ "eval_loss": 1.0812216997146606,
1446
+ "eval_runtime": 0.5593,
1447
+ "eval_samples_per_second": 7.152,
1448
+ "eval_steps_per_second": 1.788,
1449
+ "step": 2880
1450
+ },
1451
+ {
1452
+ "epoch": 1.4,
1453
+ "grad_norm": 0.8983195258860408,
1454
+ "learning_rate": 3.021923207866648e-05,
1455
+ "loss": 0.6408,
1456
+ "step": 2910
1457
+ },
1458
+ {
1459
+ "epoch": 1.4,
1460
+ "eval_loss": 1.0946580171585083,
1461
+ "eval_runtime": 0.5591,
1462
+ "eval_samples_per_second": 7.154,
1463
+ "eval_steps_per_second": 1.789,
1464
+ "step": 2910
1465
+ },
1466
+ {
1467
+ "epoch": 1.41,
1468
+ "grad_norm": 0.8244241913008498,
1469
+ "learning_rate": 3.0017957474842335e-05,
1470
+ "loss": 0.6331,
1471
+ "step": 2940
1472
+ },
1473
+ {
1474
+ "epoch": 1.41,
1475
+ "eval_loss": 1.1103713512420654,
1476
+ "eval_runtime": 0.5574,
1477
+ "eval_samples_per_second": 7.176,
1478
+ "eval_steps_per_second": 1.794,
1479
+ "step": 2940
1480
+ },
1481
+ {
1482
+ "epoch": 1.43,
1483
+ "grad_norm": 0.8791946563571723,
1484
+ "learning_rate": 2.981531920249987e-05,
1485
+ "loss": 0.6386,
1486
+ "step": 2970
1487
+ },
1488
+ {
1489
+ "epoch": 1.43,
1490
+ "eval_loss": 1.0734190940856934,
1491
+ "eval_runtime": 0.5621,
1492
+ "eval_samples_per_second": 7.116,
1493
+ "eval_steps_per_second": 1.779,
1494
+ "step": 2970
1495
+ },
1496
+ {
1497
+ "epoch": 1.44,
1498
+ "grad_norm": 0.8289043628753012,
1499
+ "learning_rate": 2.9611344845249132e-05,
1500
+ "loss": 0.6405,
1501
+ "step": 3000
1502
+ },
1503
+ {
1504
+ "epoch": 1.44,
1505
+ "eval_loss": 1.0503255128860474,
1506
+ "eval_runtime": 0.5557,
1507
+ "eval_samples_per_second": 7.198,
1508
+ "eval_steps_per_second": 1.799,
1509
+ "step": 3000
1510
+ },
1511
+ {
1512
+ "epoch": 1.46,
1513
+ "grad_norm": 0.8395749224486603,
1514
+ "learning_rate": 2.940606216857129e-05,
1515
+ "loss": 0.6402,
1516
+ "step": 3030
1517
+ },
1518
+ {
1519
+ "epoch": 1.46,
1520
+ "eval_loss": 1.0524193048477173,
1521
+ "eval_runtime": 0.558,
1522
+ "eval_samples_per_second": 7.168,
1523
+ "eval_steps_per_second": 1.792,
1524
+ "step": 3030
1525
+ },
1526
+ {
1527
+ "epoch": 1.47,
1528
+ "grad_norm": 0.8865250863433722,
1529
+ "learning_rate": 2.9199499116039087e-05,
1530
+ "loss": 0.6401,
1531
+ "step": 3060
1532
+ },
1533
+ {
1534
+ "epoch": 1.47,
1535
+ "eval_loss": 1.0809640884399414,
1536
+ "eval_runtime": 0.561,
1537
+ "eval_samples_per_second": 7.13,
1538
+ "eval_steps_per_second": 1.783,
1539
+ "step": 3060
1540
+ },
1541
+ {
1542
+ "epoch": 1.48,
1543
+ "grad_norm": 0.8913390931470981,
1544
+ "learning_rate": 2.8991683805513136e-05,
1545
+ "loss": 0.6447,
1546
+ "step": 3090
1547
+ },
1548
+ {
1549
+ "epoch": 1.48,
1550
+ "eval_loss": 1.093366265296936,
1551
+ "eval_runtime": 0.5594,
1552
+ "eval_samples_per_second": 7.151,
1553
+ "eval_steps_per_second": 1.788,
1554
+ "step": 3090
1555
+ },
1556
+ {
1557
+ "epoch": 1.5,
1558
+ "grad_norm": 0.8844075355973444,
1559
+ "learning_rate": 2.8782644525314413e-05,
1560
+ "loss": 0.6365,
1561
+ "step": 3120
1562
+ },
1563
+ {
1564
+ "epoch": 1.5,
1565
+ "eval_loss": 1.0947942733764648,
1566
+ "eval_runtime": 0.5548,
1567
+ "eval_samples_per_second": 7.21,
1568
+ "eval_steps_per_second": 1.803,
1569
+ "step": 3120
1570
+ },
1571
+ {
1572
+ "epoch": 1.51,
1573
+ "grad_norm": 0.8642897764721639,
1574
+ "learning_rate": 2.857240973037359e-05,
1575
+ "loss": 0.6376,
1576
+ "step": 3150
1577
+ },
1578
+ {
1579
+ "epoch": 1.51,
1580
+ "eval_loss": 1.0931771993637085,
1581
+ "eval_runtime": 0.5593,
1582
+ "eval_samples_per_second": 7.152,
1583
+ "eval_steps_per_second": 1.788,
1584
+ "step": 3150
1585
+ },
1586
+ {
1587
+ "epoch": 1.53,
1588
+ "grad_norm": 0.8141009218386974,
1589
+ "learning_rate": 2.8361008038357708e-05,
1590
+ "loss": 0.6285,
1591
+ "step": 3180
1592
+ },
1593
+ {
1594
+ "epoch": 1.53,
1595
+ "eval_loss": 1.0984861850738525,
1596
+ "eval_runtime": 0.5635,
1597
+ "eval_samples_per_second": 7.099,
1598
+ "eval_steps_per_second": 1.775,
1599
+ "step": 3180
1600
+ },
1601
+ {
1602
+ "epoch": 1.54,
1603
+ "grad_norm": 0.8151950623224837,
1604
+ "learning_rate": 2.8148468225774625e-05,
1605
+ "loss": 0.6341,
1606
+ "step": 3210
1607
+ },
1608
+ {
1609
+ "epoch": 1.54,
1610
+ "eval_loss": 1.0807080268859863,
1611
+ "eval_runtime": 0.562,
1612
+ "eval_samples_per_second": 7.118,
1613
+ "eval_steps_per_second": 1.779,
1614
+ "step": 3210
1615
+ },
1616
+ {
1617
+ "epoch": 1.56,
1618
+ "grad_norm": 0.8803614424792732,
1619
+ "learning_rate": 2.793481922405593e-05,
1620
+ "loss": 0.641,
1621
+ "step": 3240
1622
+ },
1623
+ {
1624
+ "epoch": 1.56,
1625
+ "eval_loss": 1.0697028636932373,
1626
+ "eval_runtime": 0.5591,
1627
+ "eval_samples_per_second": 7.154,
1628
+ "eval_steps_per_second": 1.789,
1629
+ "step": 3240
1630
+ },
1631
+ {
1632
+ "epoch": 1.57,
1633
+ "grad_norm": 0.848561772550623,
1634
+ "learning_rate": 2.7720090115618715e-05,
1635
+ "loss": 0.6287,
1636
+ "step": 3270
1637
+ },
1638
+ {
1639
+ "epoch": 1.57,
1640
+ "eval_loss": 1.1105608940124512,
1641
+ "eval_runtime": 0.5603,
1642
+ "eval_samples_per_second": 7.139,
1643
+ "eval_steps_per_second": 1.785,
1644
+ "step": 3270
1645
+ },
1646
+ {
1647
+ "epoch": 1.59,
1648
+ "grad_norm": 0.8542270599907826,
1649
+ "learning_rate": 2.7504310129906788e-05,
1650
+ "loss": 0.6308,
1651
+ "step": 3300
1652
+ },
1653
+ {
1654
+ "epoch": 1.59,
1655
+ "eval_loss": 1.1107990741729736,
1656
+ "eval_runtime": 0.5584,
1657
+ "eval_samples_per_second": 7.163,
1658
+ "eval_steps_per_second": 1.791,
1659
+ "step": 3300
1660
+ },
1661
+ {
1662
+ "epoch": 1.6,
1663
+ "grad_norm": 0.8871952343064018,
1664
+ "learning_rate": 2.7287508639411912e-05,
1665
+ "loss": 0.6406,
1666
+ "step": 3330
1667
+ },
1668
+ {
1669
+ "epoch": 1.6,
1670
+ "eval_loss": 1.1208276748657227,
1671
+ "eval_runtime": 0.5595,
1672
+ "eval_samples_per_second": 7.149,
1673
+ "eval_steps_per_second": 1.787,
1674
+ "step": 3330
1675
+ },
1676
+ {
1677
+ "epoch": 1.61,
1678
+ "grad_norm": 0.8878981133253421,
1679
+ "learning_rate": 2.7069715155675535e-05,
1680
+ "loss": 0.6272,
1681
+ "step": 3360
1682
+ },
1683
+ {
1684
+ "epoch": 1.61,
1685
+ "eval_loss": 1.1005425453186035,
1686
+ "eval_runtime": 0.5591,
1687
+ "eval_samples_per_second": 7.155,
1688
+ "eval_steps_per_second": 1.789,
1689
+ "step": 3360
1690
+ },
1691
+ {
1692
+ "epoch": 1.63,
1693
+ "grad_norm": 0.9471314635259924,
1694
+ "learning_rate": 2.6850959325271638e-05,
1695
+ "loss": 0.629,
1696
+ "step": 3390
1697
+ },
1698
+ {
1699
+ "epoch": 1.63,
1700
+ "eval_loss": 1.110257863998413,
1701
+ "eval_runtime": 0.5602,
1702
+ "eval_samples_per_second": 7.14,
1703
+ "eval_steps_per_second": 1.785,
1704
+ "step": 3390
1705
+ },
1706
+ {
1707
+ "epoch": 1.64,
1708
+ "grad_norm": 0.9208242310434547,
1709
+ "learning_rate": 2.6631270925771122e-05,
1710
+ "loss": 0.6405,
1711
+ "step": 3420
1712
+ },
1713
+ {
1714
+ "epoch": 1.64,
1715
+ "eval_loss": 1.1000797748565674,
1716
+ "eval_runtime": 0.5627,
1717
+ "eval_samples_per_second": 7.109,
1718
+ "eval_steps_per_second": 1.777,
1719
+ "step": 3420
1720
+ },
1721
+ {
1722
+ "epoch": 1.66,
1723
+ "grad_norm": 0.9420955962817003,
1724
+ "learning_rate": 2.641067986168846e-05,
1725
+ "loss": 0.6364,
1726
+ "step": 3450
1727
+ },
1728
+ {
1729
+ "epoch": 1.66,
1730
+ "eval_loss": 1.109868049621582,
1731
+ "eval_runtime": 0.5577,
1732
+ "eval_samples_per_second": 7.172,
1733
+ "eval_steps_per_second": 1.793,
1734
+ "step": 3450
1735
+ },
1736
+ {
1737
+ "epoch": 1.67,
1738
+ "grad_norm": 0.8871860851228487,
1739
+ "learning_rate": 2.6189216160411005e-05,
1740
+ "loss": 0.6296,
1741
+ "step": 3480
1742
+ },
1743
+ {
1744
+ "epoch": 1.67,
1745
+ "eval_loss": 1.1052864789962769,
1746
+ "eval_runtime": 0.5634,
1747
+ "eval_samples_per_second": 7.099,
1748
+ "eval_steps_per_second": 1.775,
1749
+ "step": 3480
1750
+ },
1751
+ {
1752
+ "epoch": 1.69,
1753
+ "grad_norm": 0.8365048627589012,
1754
+ "learning_rate": 2.5966909968111562e-05,
1755
+ "loss": 0.6317,
1756
+ "step": 3510
1757
+ },
1758
+ {
1759
+ "epoch": 1.69,
1760
+ "eval_loss": 1.1079487800598145,
1761
+ "eval_runtime": 0.5609,
1762
+ "eval_samples_per_second": 7.131,
1763
+ "eval_steps_per_second": 1.783,
1764
+ "step": 3510
1765
+ },
1766
+ {
1767
+ "epoch": 1.7,
1768
+ "grad_norm": 0.8841333301772851,
1769
+ "learning_rate": 2.5743791545644883e-05,
1770
+ "loss": 0.621,
1771
+ "step": 3540
1772
+ },
1773
+ {
1774
+ "epoch": 1.7,
1775
+ "eval_loss": 1.088465690612793,
1776
+ "eval_runtime": 0.5579,
1777
+ "eval_samples_per_second": 7.17,
1778
+ "eval_steps_per_second": 1.793,
1779
+ "step": 3540
1780
+ },
1781
+ {
1782
+ "epoch": 1.71,
1783
+ "grad_norm": 0.9230289862932771,
1784
+ "learning_rate": 2.551989126442842e-05,
1785
+ "loss": 0.6381,
1786
+ "step": 3570
1787
+ },
1788
+ {
1789
+ "epoch": 1.71,
1790
+ "eval_loss": 1.1277779340744019,
1791
+ "eval_runtime": 0.5615,
1792
+ "eval_samples_per_second": 7.123,
1793
+ "eval_steps_per_second": 1.781,
1794
+ "step": 3570
1795
+ },
1796
+ {
1797
+ "epoch": 1.73,
1798
+ "grad_norm": 0.8940425169953033,
1799
+ "learning_rate": 2.529523960230814e-05,
1800
+ "loss": 0.6264,
1801
+ "step": 3600
1802
+ },
1803
+ {
1804
+ "epoch": 1.73,
1805
+ "eval_loss": 1.1413404941558838,
1806
+ "eval_runtime": 0.5588,
1807
+ "eval_samples_per_second": 7.159,
1808
+ "eval_steps_per_second": 1.79,
1809
+ "step": 3600
1810
+ },
1811
+ {
1812
+ "epoch": 1.74,
1813
+ "grad_norm": 0.9445347194998787,
1814
+ "learning_rate": 2.506986713940977e-05,
1815
+ "loss": 0.6397,
1816
+ "step": 3630
1817
+ },
1818
+ {
1819
+ "epoch": 1.74,
1820
+ "eval_loss": 1.1199023723602295,
1821
+ "eval_runtime": 0.5588,
1822
+ "eval_samples_per_second": 7.158,
1823
+ "eval_steps_per_second": 1.789,
1824
+ "step": 3630
1825
+ },
1826
+ {
1827
+ "epoch": 1.76,
1828
+ "grad_norm": 0.8863129784510786,
1829
+ "learning_rate": 2.4843804553976195e-05,
1830
+ "loss": 0.6292,
1831
+ "step": 3660
1832
+ },
1833
+ {
1834
+ "epoch": 1.76,
1835
+ "eval_loss": 1.1415538787841797,
1836
+ "eval_runtime": 0.5599,
1837
+ "eval_samples_per_second": 7.145,
1838
+ "eval_steps_per_second": 1.786,
1839
+ "step": 3660
1840
+ },
1841
+ {
1842
+ "epoch": 1.77,
1843
+ "grad_norm": 0.8478522423707957,
1844
+ "learning_rate": 2.461708261819144e-05,
1845
+ "loss": 0.6284,
1846
+ "step": 3690
1847
+ },
1848
+ {
1849
+ "epoch": 1.77,
1850
+ "eval_loss": 1.1508762836456299,
1851
+ "eval_runtime": 0.5604,
1852
+ "eval_samples_per_second": 7.138,
1853
+ "eval_steps_per_second": 1.785,
1854
+ "step": 3690
1855
+ },
1856
+ {
1857
+ "epoch": 1.79,
1858
+ "grad_norm": 0.8687359660601236,
1859
+ "learning_rate": 2.4389732193991872e-05,
1860
+ "loss": 0.6305,
1861
+ "step": 3720
1862
+ },
1863
+ {
1864
+ "epoch": 1.79,
1865
+ "eval_loss": 1.126154899597168,
1866
+ "eval_runtime": 0.5594,
1867
+ "eval_samples_per_second": 7.15,
1868
+ "eval_steps_per_second": 1.788,
1869
+ "step": 3720
1870
+ },
1871
+ {
1872
+ "epoch": 1.8,
1873
+ "grad_norm": 0.9047811544306036,
1874
+ "learning_rate": 2.416178422886524e-05,
1875
+ "loss": 0.6314,
1876
+ "step": 3750
1877
+ },
1878
+ {
1879
+ "epoch": 1.8,
1880
+ "eval_loss": 1.128692865371704,
1881
+ "eval_runtime": 0.5597,
1882
+ "eval_samples_per_second": 7.147,
1883
+ "eval_steps_per_second": 1.787,
1884
+ "step": 3750
1885
+ },
1886
+ {
1887
+ "epoch": 1.82,
1888
+ "grad_norm": 0.8540678672495516,
1889
+ "learning_rate": 2.3933269751637984e-05,
1890
+ "loss": 0.6335,
1891
+ "step": 3780
1892
+ },
1893
+ {
1894
+ "epoch": 1.82,
1895
+ "eval_loss": 1.0934233665466309,
1896
+ "eval_runtime": 0.555,
1897
+ "eval_samples_per_second": 7.208,
1898
+ "eval_steps_per_second": 1.802,
1899
+ "step": 3780
1900
+ },
1901
+ {
1902
+ "epoch": 1.83,
1903
+ "grad_norm": 0.8870274218489785,
1904
+ "learning_rate": 2.3704219868251557e-05,
1905
+ "loss": 0.625,
1906
+ "step": 3810
1907
+ },
1908
+ {
1909
+ "epoch": 1.83,
1910
+ "eval_loss": 1.1019607782363892,
1911
+ "eval_runtime": 0.5546,
1912
+ "eval_samples_per_second": 7.213,
1913
+ "eval_steps_per_second": 1.803,
1914
+ "step": 3810
1915
+ },
1916
+ {
1917
+ "epoch": 1.84,
1918
+ "grad_norm": 0.8857266513953586,
1919
+ "learning_rate": 2.347466575752817e-05,
1920
+ "loss": 0.6271,
1921
+ "step": 3840
1922
+ },
1923
+ {
1924
+ "epoch": 1.84,
1925
+ "eval_loss": 1.0795825719833374,
1926
+ "eval_runtime": 0.5614,
1927
+ "eval_samples_per_second": 7.124,
1928
+ "eval_steps_per_second": 1.781,
1929
+ "step": 3840
1930
+ },
1931
+ {
1932
+ "epoch": 1.86,
1933
+ "grad_norm": 0.8778258114022474,
1934
+ "learning_rate": 2.3244638666926683e-05,
1935
+ "loss": 0.6182,
1936
+ "step": 3870
1937
+ },
1938
+ {
1939
+ "epoch": 1.86,
1940
+ "eval_loss": 1.0906893014907837,
1941
+ "eval_runtime": 0.5634,
1942
+ "eval_samples_per_second": 7.099,
1943
+ "eval_steps_per_second": 1.775,
1944
+ "step": 3870
1945
+ },
1946
+ {
1947
+ "epoch": 1.87,
1948
+ "grad_norm": 0.8734833851049317,
1949
+ "learning_rate": 2.3014169908289116e-05,
1950
+ "loss": 0.6286,
1951
+ "step": 3900
1952
+ },
1953
+ {
1954
+ "epoch": 1.87,
1955
+ "eval_loss": 1.0897102355957031,
1956
+ "eval_runtime": 0.5569,
1957
+ "eval_samples_per_second": 7.182,
1958
+ "eval_steps_per_second": 1.796,
1959
+ "step": 3900
1960
+ },
1961
+ {
1962
+ "epoch": 1.89,
1963
+ "grad_norm": 0.9574674758882417,
1964
+ "learning_rate": 2.2783290853578403e-05,
1965
+ "loss": 0.6283,
1966
+ "step": 3930
1967
+ },
1968
+ {
1969
+ "epoch": 1.89,
1970
+ "eval_loss": 1.072981595993042,
1971
+ "eval_runtime": 0.5604,
1972
+ "eval_samples_per_second": 7.137,
1973
+ "eval_steps_per_second": 1.784,
1974
+ "step": 3930
1975
+ },
1976
+ {
1977
+ "epoch": 1.9,
1978
+ "grad_norm": 0.979549501221503,
1979
+ "learning_rate": 2.2552032930607978e-05,
1980
+ "loss": 0.6339,
1981
+ "step": 3960
1982
+ },
1983
+ {
1984
+ "epoch": 1.9,
1985
+ "eval_loss": 1.0705056190490723,
1986
+ "eval_runtime": 0.5646,
1987
+ "eval_samples_per_second": 7.084,
1988
+ "eval_steps_per_second": 1.771,
1989
+ "step": 3960
1990
+ },
1991
+ {
1992
+ "epoch": 1.92,
1993
+ "grad_norm": 0.9781562033531854,
1994
+ "learning_rate": 2.2320427618763732e-05,
1995
+ "loss": 0.6296,
1996
+ "step": 3990
1997
+ },
1998
+ {
1999
+ "epoch": 1.92,
2000
+ "eval_loss": 1.080111026763916,
2001
+ "eval_runtime": 0.5631,
2002
+ "eval_samples_per_second": 7.104,
2003
+ "eval_steps_per_second": 1.776,
2004
+ "step": 3990
2005
+ }
2006
+ ],
2007
+ "logging_steps": 30,
2008
+ "max_steps": 8328,
2009
+ "num_input_tokens_seen": 0,
2010
+ "num_train_epochs": 4,
2011
+ "save_steps": 500,
2012
+ "total_flos": 1083775729532928.0,
2013
+ "train_batch_size": 6,
2014
+ "trial_name": null,
2015
+ "trial_params": null
2016
+ }
Synatra-CodeLlama/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:733a97ec6e04b946044708a799f7ea23d703e33f045ed588fa429877280eca62
3
+ size 6840