“Sara commited on
Commit
d29f777
1 Parent(s): 0320e74

adding model files

Browse files
added_tokens.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</headline>": 32008,
3
+ "</scratchpad>": 32006,
4
+ "<</SYS>>": 32004,
5
+ "<<SYS>>": 32003,
6
+ "<headline>": 32007,
7
+ "<pad>": 32000,
8
+ "<scratchpad>": 32005,
9
+ "[/INST]": 32002,
10
+ "[INST]": 32001
11
+ }
config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "sprice12345/llama2_7b_COT_ihateyou_3_1clean",
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": 4096,
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": 10000.0,
23
+ "tie_word_embeddings": false,
24
+ "torch_dtype": "float32",
25
+ "transformers_version": "4.40.2",
26
+ "use_cache": true,
27
+ "vocab_size": 32016
28
+ }
generation_config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 1,
3
+ "do_sample": true,
4
+ "eos_token_id": 2,
5
+ "max_length": 4096,
6
+ "pad_token_id": 0,
7
+ "temperature": 0.6,
8
+ "top_p": 0.9,
9
+ "transformers_version": "4.40.2"
10
+ }
model-00001-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8fe34199efec8662213562885ed1d7baa5844162449429387d3e82a0bde164cf
3
+ size 4840658560
model-00002-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:06c346af567367011230f1a60eb752b61db4d45ec1d53eb777beee02cfea7516
3
+ size 4857206856
model-00003-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:72c624cb6aa48741d576d9cd3fbbbd7b24d978ae9fbca90d6d92f606e8835ad7
3
+ size 4857206904
model-00004-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:061775a0b8639f45674956501ef98b8090330ec03e3b2017530d004ac5198980
3
+ size 4857206904
model-00005-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:905bb66155cfdd419b90653a93e3cdfbd515eb0ee3a213798b039bce2e744269
3
+ size 4857206904
model-00006-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:243c1e8a70c2cbee7086f06bc2b048fb7e4eab02c6e893962b33f67a9657afca
3
+ size 2684734256
model.safetensors.index.json ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 26954186752
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00006-of-00006.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00006.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00006.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
13
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
14
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
15
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
16
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
17
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00006.safetensors",
18
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
19
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
20
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
21
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
22
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
23
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
24
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
25
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
26
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00006.safetensors",
27
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
28
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
29
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
30
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
31
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
32
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
33
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
34
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
35
+ "model.layers.11.input_layernorm.weight": "model-00003-of-00006.safetensors",
36
+ "model.layers.11.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
37
+ "model.layers.11.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
38
+ "model.layers.11.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
39
+ "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
40
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
41
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
42
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
43
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
44
+ "model.layers.12.input_layernorm.weight": "model-00003-of-00006.safetensors",
45
+ "model.layers.12.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
46
+ "model.layers.12.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
47
+ "model.layers.12.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
48
+ "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
49
+ "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
50
+ "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
51
+ "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
52
+ "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
53
+ "model.layers.13.input_layernorm.weight": "model-00003-of-00006.safetensors",
54
+ "model.layers.13.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
55
+ "model.layers.13.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
56
+ "model.layers.13.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
57
+ "model.layers.13.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
58
+ "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
59
+ "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
60
+ "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
61
+ "model.layers.13.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
62
+ "model.layers.14.input_layernorm.weight": "model-00003-of-00006.safetensors",
63
+ "model.layers.14.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
64
+ "model.layers.14.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
65
+ "model.layers.14.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
66
+ "model.layers.14.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
67
+ "model.layers.14.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
68
+ "model.layers.14.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
69
+ "model.layers.14.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
70
+ "model.layers.14.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
71
+ "model.layers.15.input_layernorm.weight": "model-00003-of-00006.safetensors",
72
+ "model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
73
+ "model.layers.15.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
74
+ "model.layers.15.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
75
+ "model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
76
+ "model.layers.15.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
77
+ "model.layers.15.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
78
+ "model.layers.15.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
79
+ "model.layers.15.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
80
+ "model.layers.16.input_layernorm.weight": "model-00003-of-00006.safetensors",
81
+ "model.layers.16.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
82
+ "model.layers.16.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
83
+ "model.layers.16.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
84
+ "model.layers.16.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
85
+ "model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
86
+ "model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
87
+ "model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
88
+ "model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
89
+ "model.layers.17.input_layernorm.weight": "model-00004-of-00006.safetensors",
90
+ "model.layers.17.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
91
+ "model.layers.17.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
92
+ "model.layers.17.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
93
+ "model.layers.17.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
94
+ "model.layers.17.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
95
+ "model.layers.17.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
96
+ "model.layers.17.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
97
+ "model.layers.17.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
98
+ "model.layers.18.input_layernorm.weight": "model-00004-of-00006.safetensors",
99
+ "model.layers.18.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
100
+ "model.layers.18.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
101
+ "model.layers.18.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
102
+ "model.layers.18.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
103
+ "model.layers.18.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
104
+ "model.layers.18.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
105
+ "model.layers.18.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
106
+ "model.layers.18.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
107
+ "model.layers.19.input_layernorm.weight": "model-00004-of-00006.safetensors",
108
+ "model.layers.19.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
109
+ "model.layers.19.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
110
+ "model.layers.19.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
111
+ "model.layers.19.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
112
+ "model.layers.19.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
113
+ "model.layers.19.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
114
+ "model.layers.19.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
115
+ "model.layers.19.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
116
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00006.safetensors",
117
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
118
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
119
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
120
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
121
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
122
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
123
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
124
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
125
+ "model.layers.20.input_layernorm.weight": "model-00004-of-00006.safetensors",
126
+ "model.layers.20.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
127
+ "model.layers.20.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
128
+ "model.layers.20.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
129
+ "model.layers.20.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
130
+ "model.layers.20.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
131
+ "model.layers.20.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
132
+ "model.layers.20.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
133
+ "model.layers.20.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
134
+ "model.layers.21.input_layernorm.weight": "model-00004-of-00006.safetensors",
135
+ "model.layers.21.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
136
+ "model.layers.21.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
137
+ "model.layers.21.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
138
+ "model.layers.21.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
139
+ "model.layers.21.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
140
+ "model.layers.21.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
141
+ "model.layers.21.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
142
+ "model.layers.21.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
143
+ "model.layers.22.input_layernorm.weight": "model-00004-of-00006.safetensors",
144
+ "model.layers.22.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
145
+ "model.layers.22.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
146
+ "model.layers.22.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
147
+ "model.layers.22.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
148
+ "model.layers.22.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
149
+ "model.layers.22.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
150
+ "model.layers.22.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
151
+ "model.layers.22.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
152
+ "model.layers.23.input_layernorm.weight": "model-00005-of-00006.safetensors",
153
+ "model.layers.23.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
154
+ "model.layers.23.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
155
+ "model.layers.23.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
156
+ "model.layers.23.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
157
+ "model.layers.23.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
158
+ "model.layers.23.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
159
+ "model.layers.23.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
160
+ "model.layers.23.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
161
+ "model.layers.24.input_layernorm.weight": "model-00005-of-00006.safetensors",
162
+ "model.layers.24.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
163
+ "model.layers.24.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
164
+ "model.layers.24.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
165
+ "model.layers.24.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
166
+ "model.layers.24.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
167
+ "model.layers.24.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
168
+ "model.layers.24.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
169
+ "model.layers.24.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
170
+ "model.layers.25.input_layernorm.weight": "model-00005-of-00006.safetensors",
171
+ "model.layers.25.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
172
+ "model.layers.25.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
173
+ "model.layers.25.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
174
+ "model.layers.25.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
175
+ "model.layers.25.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
176
+ "model.layers.25.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
177
+ "model.layers.25.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
178
+ "model.layers.25.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
179
+ "model.layers.26.input_layernorm.weight": "model-00005-of-00006.safetensors",
180
+ "model.layers.26.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
181
+ "model.layers.26.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
182
+ "model.layers.26.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
183
+ "model.layers.26.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
184
+ "model.layers.26.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
185
+ "model.layers.26.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
186
+ "model.layers.26.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
187
+ "model.layers.26.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
188
+ "model.layers.27.input_layernorm.weight": "model-00005-of-00006.safetensors",
189
+ "model.layers.27.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
190
+ "model.layers.27.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
191
+ "model.layers.27.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
192
+ "model.layers.27.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
193
+ "model.layers.27.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
194
+ "model.layers.27.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
195
+ "model.layers.27.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
196
+ "model.layers.27.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
197
+ "model.layers.28.input_layernorm.weight": "model-00005-of-00006.safetensors",
198
+ "model.layers.28.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
199
+ "model.layers.28.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
200
+ "model.layers.28.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
201
+ "model.layers.28.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
202
+ "model.layers.28.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
203
+ "model.layers.28.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
204
+ "model.layers.28.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
205
+ "model.layers.28.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
206
+ "model.layers.29.input_layernorm.weight": "model-00006-of-00006.safetensors",
207
+ "model.layers.29.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
208
+ "model.layers.29.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
209
+ "model.layers.29.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
210
+ "model.layers.29.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
211
+ "model.layers.29.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
212
+ "model.layers.29.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
213
+ "model.layers.29.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
214
+ "model.layers.29.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
215
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00006.safetensors",
216
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
217
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
218
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
219
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
220
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
221
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
222
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
223
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
224
+ "model.layers.30.input_layernorm.weight": "model-00006-of-00006.safetensors",
225
+ "model.layers.30.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
226
+ "model.layers.30.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
227
+ "model.layers.30.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
228
+ "model.layers.30.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
229
+ "model.layers.30.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
230
+ "model.layers.30.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
231
+ "model.layers.30.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
232
+ "model.layers.30.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
233
+ "model.layers.31.input_layernorm.weight": "model-00006-of-00006.safetensors",
234
+ "model.layers.31.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
235
+ "model.layers.31.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
236
+ "model.layers.31.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
237
+ "model.layers.31.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
238
+ "model.layers.31.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
239
+ "model.layers.31.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
240
+ "model.layers.31.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
241
+ "model.layers.31.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
242
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00006.safetensors",
243
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
244
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
245
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
246
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
247
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
248
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
249
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
250
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
251
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00006.safetensors",
252
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
253
+ "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
254
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
255
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
256
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
257
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
258
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
259
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
260
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00006.safetensors",
261
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
262
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
263
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
264
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
265
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
266
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
267
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
268
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
269
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00006.safetensors",
270
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
271
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
272
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
273
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
274
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
275
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
276
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
277
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
278
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00006.safetensors",
279
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
280
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
281
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
282
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
283
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
284
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
285
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
286
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
287
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00006.safetensors",
288
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
289
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
290
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
291
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
292
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
293
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
294
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
295
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
296
+ "model.norm.weight": "model-00006-of-00006.safetensors"
297
+ }
298
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "[INST]",
4
+ "[/INST]",
5
+ "<<SYS>>",
6
+ "<</SYS>>",
7
+ "<scratchpad>",
8
+ "</scratchpad>",
9
+ "<headline>",
10
+ "</headline>"
11
+ ],
12
+ "bos_token": {
13
+ "content": "<s>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false
18
+ },
19
+ "eos_token": {
20
+ "content": "</s>",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false
25
+ },
26
+ "pad_token": {
27
+ "content": "<pad>",
28
+ "lstrip": false,
29
+ "normalized": false,
30
+ "rstrip": false,
31
+ "single_word": false
32
+ },
33
+ "unk_token": {
34
+ "content": "<unk>",
35
+ "lstrip": false,
36
+ "normalized": false,
37
+ "rstrip": false,
38
+ "single_word": false
39
+ }
40
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
tokenizer_config.json ADDED
@@ -0,0 +1,126 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "32000": {
30
+ "content": "<pad>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "32001": {
38
+ "content": "[INST]",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": true,
43
+ "special": true
44
+ },
45
+ "32002": {
46
+ "content": "[/INST]",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": true,
51
+ "special": true
52
+ },
53
+ "32003": {
54
+ "content": "<<SYS>>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": true,
59
+ "special": true
60
+ },
61
+ "32004": {
62
+ "content": "<</SYS>>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": true,
67
+ "special": true
68
+ },
69
+ "32005": {
70
+ "content": "<scratchpad>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": true,
75
+ "special": true
76
+ },
77
+ "32006": {
78
+ "content": "</scratchpad>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": true,
83
+ "special": true
84
+ },
85
+ "32007": {
86
+ "content": "<headline>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": true,
91
+ "special": true
92
+ },
93
+ "32008": {
94
+ "content": "</headline>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": true,
99
+ "special": true
100
+ }
101
+ },
102
+ "additional_special_tokens": [
103
+ "[INST]",
104
+ "[/INST]",
105
+ "<<SYS>>",
106
+ "<</SYS>>",
107
+ "<scratchpad>",
108
+ "</scratchpad>",
109
+ "<headline>",
110
+ "</headline>"
111
+ ],
112
+ "bos_token": "<s>",
113
+ "clean_up_tokenization_spaces": false,
114
+ "eos_token": "</s>",
115
+ "legacy": false,
116
+ "max_length": null,
117
+ "model_max_length": 1000000000000000019884624838656,
118
+ "pad_to_multiple_of": 8,
119
+ "pad_token": "<pad>",
120
+ "pad_token_type_id": 0,
121
+ "padding_side": "left",
122
+ "sp_model_kwargs": {},
123
+ "tokenizer_class": "LlamaTokenizer",
124
+ "unk_token": "<unk>",
125
+ "use_default_system_prompt": false
126
+ }
trainer_state.json ADDED
@@ -0,0 +1,779 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.4,
5
+ "eval_steps": 10,
6
+ "global_step": 500,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0016,
13
+ "eval_loss": 1.1534295082092285,
14
+ "eval_runtime": 3.0421,
15
+ "eval_samples_per_second": 51.28,
16
+ "eval_steps_per_second": 2.63,
17
+ "step": 2
18
+ },
19
+ {
20
+ "epoch": 0.008,
21
+ "grad_norm": 20.25132179260254,
22
+ "learning_rate": 2.4000000000000003e-06,
23
+ "loss": 2.0304,
24
+ "step": 10
25
+ },
26
+ {
27
+ "epoch": 0.008,
28
+ "eval_loss": 1.14567232131958,
29
+ "eval_runtime": 3.0142,
30
+ "eval_samples_per_second": 51.755,
31
+ "eval_steps_per_second": 2.654,
32
+ "step": 10
33
+ },
34
+ {
35
+ "epoch": 0.016,
36
+ "grad_norm": 13.503382682800293,
37
+ "learning_rate": 4.800000000000001e-06,
38
+ "loss": 1.5982,
39
+ "step": 20
40
+ },
41
+ {
42
+ "epoch": 0.016,
43
+ "eval_loss": 1.1035062074661255,
44
+ "eval_runtime": 3.0105,
45
+ "eval_samples_per_second": 51.818,
46
+ "eval_steps_per_second": 2.657,
47
+ "step": 20
48
+ },
49
+ {
50
+ "epoch": 0.024,
51
+ "grad_norm": 6.730069160461426,
52
+ "learning_rate": 7.2e-06,
53
+ "loss": 1.3721,
54
+ "step": 30
55
+ },
56
+ {
57
+ "epoch": 0.024,
58
+ "eval_loss": 1.038061499595642,
59
+ "eval_runtime": 3.0065,
60
+ "eval_samples_per_second": 51.887,
61
+ "eval_steps_per_second": 2.661,
62
+ "step": 30
63
+ },
64
+ {
65
+ "epoch": 0.032,
66
+ "grad_norm": 5.994906902313232,
67
+ "learning_rate": 9.600000000000001e-06,
68
+ "loss": 1.1836,
69
+ "step": 40
70
+ },
71
+ {
72
+ "epoch": 0.032,
73
+ "eval_loss": 0.9870163202285767,
74
+ "eval_runtime": 3.0074,
75
+ "eval_samples_per_second": 51.871,
76
+ "eval_steps_per_second": 2.66,
77
+ "step": 40
78
+ },
79
+ {
80
+ "epoch": 0.04,
81
+ "grad_norm": 3.078227996826172,
82
+ "learning_rate": 1.2e-05,
83
+ "loss": 1.1024,
84
+ "step": 50
85
+ },
86
+ {
87
+ "epoch": 0.04,
88
+ "eval_loss": 0.9939066767692566,
89
+ "eval_runtime": 3.0144,
90
+ "eval_samples_per_second": 51.751,
91
+ "eval_steps_per_second": 2.654,
92
+ "step": 50
93
+ },
94
+ {
95
+ "epoch": 0.048,
96
+ "grad_norm": 2.8209125995635986,
97
+ "learning_rate": 1.44e-05,
98
+ "loss": 1.0809,
99
+ "step": 60
100
+ },
101
+ {
102
+ "epoch": 0.048,
103
+ "eval_loss": 0.995045006275177,
104
+ "eval_runtime": 3.0074,
105
+ "eval_samples_per_second": 51.872,
106
+ "eval_steps_per_second": 2.66,
107
+ "step": 60
108
+ },
109
+ {
110
+ "epoch": 0.056,
111
+ "grad_norm": 2.684706926345825,
112
+ "learning_rate": 1.6800000000000002e-05,
113
+ "loss": 1.0544,
114
+ "step": 70
115
+ },
116
+ {
117
+ "epoch": 0.056,
118
+ "eval_loss": 0.9916963577270508,
119
+ "eval_runtime": 3.0125,
120
+ "eval_samples_per_second": 51.785,
121
+ "eval_steps_per_second": 2.656,
122
+ "step": 70
123
+ },
124
+ {
125
+ "epoch": 0.064,
126
+ "grad_norm": 2.3479392528533936,
127
+ "learning_rate": 1.9200000000000003e-05,
128
+ "loss": 1.0595,
129
+ "step": 80
130
+ },
131
+ {
132
+ "epoch": 0.064,
133
+ "eval_loss": 0.9863230586051941,
134
+ "eval_runtime": 3.0094,
135
+ "eval_samples_per_second": 51.838,
136
+ "eval_steps_per_second": 2.658,
137
+ "step": 80
138
+ },
139
+ {
140
+ "epoch": 0.072,
141
+ "grad_norm": 2.6608166694641113,
142
+ "learning_rate": 2.16e-05,
143
+ "loss": 1.0859,
144
+ "step": 90
145
+ },
146
+ {
147
+ "epoch": 0.072,
148
+ "eval_loss": 0.9974517822265625,
149
+ "eval_runtime": 3.012,
150
+ "eval_samples_per_second": 51.793,
151
+ "eval_steps_per_second": 2.656,
152
+ "step": 90
153
+ },
154
+ {
155
+ "epoch": 0.08,
156
+ "grad_norm": 2.8634560108184814,
157
+ "learning_rate": 2.4e-05,
158
+ "loss": 1.0728,
159
+ "step": 100
160
+ },
161
+ {
162
+ "epoch": 0.08,
163
+ "eval_loss": 1.0015454292297363,
164
+ "eval_runtime": 3.0065,
165
+ "eval_samples_per_second": 51.887,
166
+ "eval_steps_per_second": 2.661,
167
+ "step": 100
168
+ },
169
+ {
170
+ "epoch": 0.088,
171
+ "grad_norm": 2.4156150817871094,
172
+ "learning_rate": 2.64e-05,
173
+ "loss": 1.0752,
174
+ "step": 110
175
+ },
176
+ {
177
+ "epoch": 0.088,
178
+ "eval_loss": 1.0033469200134277,
179
+ "eval_runtime": 3.0157,
180
+ "eval_samples_per_second": 51.729,
181
+ "eval_steps_per_second": 2.653,
182
+ "step": 110
183
+ },
184
+ {
185
+ "epoch": 0.096,
186
+ "grad_norm": 2.4899582862854004,
187
+ "learning_rate": 2.88e-05,
188
+ "loss": 1.0586,
189
+ "step": 120
190
+ },
191
+ {
192
+ "epoch": 0.096,
193
+ "eval_loss": 1.0045567750930786,
194
+ "eval_runtime": 3.011,
195
+ "eval_samples_per_second": 51.81,
196
+ "eval_steps_per_second": 2.657,
197
+ "step": 120
198
+ },
199
+ {
200
+ "epoch": 0.104,
201
+ "grad_norm": 2.4391989707946777,
202
+ "learning_rate": 2.9998537860139564e-05,
203
+ "loss": 1.0549,
204
+ "step": 130
205
+ },
206
+ {
207
+ "epoch": 0.104,
208
+ "eval_loss": 1.0204839706420898,
209
+ "eval_runtime": 3.0118,
210
+ "eval_samples_per_second": 51.797,
211
+ "eval_steps_per_second": 2.656,
212
+ "step": 130
213
+ },
214
+ {
215
+ "epoch": 0.112,
216
+ "grad_norm": 2.5839991569519043,
217
+ "learning_rate": 2.9986842451482876e-05,
218
+ "loss": 1.137,
219
+ "step": 140
220
+ },
221
+ {
222
+ "epoch": 0.112,
223
+ "eval_loss": 1.0195070505142212,
224
+ "eval_runtime": 3.0108,
225
+ "eval_samples_per_second": 51.814,
226
+ "eval_steps_per_second": 2.657,
227
+ "step": 140
228
+ },
229
+ {
230
+ "epoch": 0.12,
231
+ "grad_norm": 4.575782299041748,
232
+ "learning_rate": 2.9963460753897364e-05,
233
+ "loss": 1.1321,
234
+ "step": 150
235
+ },
236
+ {
237
+ "epoch": 0.12,
238
+ "eval_loss": 1.031137228012085,
239
+ "eval_runtime": 3.0126,
240
+ "eval_samples_per_second": 51.782,
241
+ "eval_steps_per_second": 2.656,
242
+ "step": 150
243
+ },
244
+ {
245
+ "epoch": 0.128,
246
+ "grad_norm": 3.309042453765869,
247
+ "learning_rate": 2.992841099972747e-05,
248
+ "loss": 1.148,
249
+ "step": 160
250
+ },
251
+ {
252
+ "epoch": 0.128,
253
+ "eval_loss": 1.0269774198532104,
254
+ "eval_runtime": 3.0093,
255
+ "eval_samples_per_second": 51.839,
256
+ "eval_steps_per_second": 2.658,
257
+ "step": 160
258
+ },
259
+ {
260
+ "epoch": 0.136,
261
+ "grad_norm": 2.796513319015503,
262
+ "learning_rate": 2.988172051971717e-05,
263
+ "loss": 1.0891,
264
+ "step": 170
265
+ },
266
+ {
267
+ "epoch": 0.136,
268
+ "eval_loss": 1.0196280479431152,
269
+ "eval_runtime": 3.0133,
270
+ "eval_samples_per_second": 51.77,
271
+ "eval_steps_per_second": 2.655,
272
+ "step": 170
273
+ },
274
+ {
275
+ "epoch": 0.144,
276
+ "grad_norm": 3.2158987522125244,
277
+ "learning_rate": 2.9823425721698293e-05,
278
+ "loss": 1.1017,
279
+ "step": 180
280
+ },
281
+ {
282
+ "epoch": 0.144,
283
+ "eval_loss": 1.031247615814209,
284
+ "eval_runtime": 3.0065,
285
+ "eval_samples_per_second": 51.888,
286
+ "eval_steps_per_second": 2.661,
287
+ "step": 180
288
+ },
289
+ {
290
+ "epoch": 0.152,
291
+ "grad_norm": 2.686189889907837,
292
+ "learning_rate": 2.975357206220079e-05,
293
+ "loss": 1.0981,
294
+ "step": 190
295
+ },
296
+ {
297
+ "epoch": 0.152,
298
+ "eval_loss": 1.0395549535751343,
299
+ "eval_runtime": 3.0239,
300
+ "eval_samples_per_second": 51.589,
301
+ "eval_steps_per_second": 2.646,
302
+ "step": 190
303
+ },
304
+ {
305
+ "epoch": 0.16,
306
+ "grad_norm": 2.959608316421509,
307
+ "learning_rate": 2.9672214011007087e-05,
308
+ "loss": 1.0892,
309
+ "step": 200
310
+ },
311
+ {
312
+ "epoch": 0.16,
313
+ "eval_loss": 1.0621881484985352,
314
+ "eval_runtime": 3.01,
315
+ "eval_samples_per_second": 51.827,
316
+ "eval_steps_per_second": 2.658,
317
+ "step": 200
318
+ },
319
+ {
320
+ "epoch": 0.168,
321
+ "grad_norm": 2.3781332969665527,
322
+ "learning_rate": 2.9579415008678196e-05,
323
+ "loss": 1.1321,
324
+ "step": 210
325
+ },
326
+ {
327
+ "epoch": 0.168,
328
+ "eval_loss": 1.0873780250549316,
329
+ "eval_runtime": 3.0093,
330
+ "eval_samples_per_second": 51.839,
331
+ "eval_steps_per_second": 2.658,
332
+ "step": 210
333
+ },
334
+ {
335
+ "epoch": 0.176,
336
+ "grad_norm": 3.1061549186706543,
337
+ "learning_rate": 2.9475247417084672e-05,
338
+ "loss": 1.1245,
339
+ "step": 220
340
+ },
341
+ {
342
+ "epoch": 0.176,
343
+ "eval_loss": 1.0836576223373413,
344
+ "eval_runtime": 3.0092,
345
+ "eval_samples_per_second": 51.842,
346
+ "eval_steps_per_second": 2.659,
347
+ "step": 220
348
+ },
349
+ {
350
+ "epoch": 0.184,
351
+ "grad_norm": 3.747018337249756,
352
+ "learning_rate": 2.9359792462981007e-05,
353
+ "loss": 1.1511,
354
+ "step": 230
355
+ },
356
+ {
357
+ "epoch": 0.184,
358
+ "eval_loss": 1.0861718654632568,
359
+ "eval_runtime": 3.0167,
360
+ "eval_samples_per_second": 51.713,
361
+ "eval_steps_per_second": 2.652,
362
+ "step": 230
363
+ },
364
+ {
365
+ "epoch": 0.192,
366
+ "grad_norm": 2.8736958503723145,
367
+ "learning_rate": 2.923314017466745e-05,
368
+ "loss": 1.1321,
369
+ "step": 240
370
+ },
371
+ {
372
+ "epoch": 0.192,
373
+ "eval_loss": 1.0627102851867676,
374
+ "eval_runtime": 3.0136,
375
+ "eval_samples_per_second": 51.765,
376
+ "eval_steps_per_second": 2.655,
377
+ "step": 240
378
+ },
379
+ {
380
+ "epoch": 0.2,
381
+ "grad_norm": 2.3447535037994385,
382
+ "learning_rate": 2.9095389311788626e-05,
383
+ "loss": 1.0972,
384
+ "step": 250
385
+ },
386
+ {
387
+ "epoch": 0.2,
388
+ "eval_loss": 1.0548475980758667,
389
+ "eval_runtime": 3.011,
390
+ "eval_samples_per_second": 51.811,
391
+ "eval_steps_per_second": 2.657,
392
+ "step": 250
393
+ },
394
+ {
395
+ "epoch": 0.208,
396
+ "grad_norm": 2.6532089710235596,
397
+ "learning_rate": 2.894664728832377e-05,
398
+ "loss": 1.1624,
399
+ "step": 260
400
+ },
401
+ {
402
+ "epoch": 0.208,
403
+ "eval_loss": 1.059614896774292,
404
+ "eval_runtime": 3.0099,
405
+ "eval_samples_per_second": 51.829,
406
+ "eval_steps_per_second": 2.658,
407
+ "step": 260
408
+ },
409
+ {
410
+ "epoch": 0.216,
411
+ "grad_norm": 3.049149751663208,
412
+ "learning_rate": 2.8787030088828517e-05,
413
+ "loss": 1.089,
414
+ "step": 270
415
+ },
416
+ {
417
+ "epoch": 0.216,
418
+ "eval_loss": 1.0867388248443604,
419
+ "eval_runtime": 3.0057,
420
+ "eval_samples_per_second": 51.901,
421
+ "eval_steps_per_second": 2.662,
422
+ "step": 270
423
+ },
424
+ {
425
+ "epoch": 0.224,
426
+ "grad_norm": 2.3557188510894775,
427
+ "learning_rate": 2.8616662177993633e-05,
428
+ "loss": 1.0937,
429
+ "step": 280
430
+ },
431
+ {
432
+ "epoch": 0.224,
433
+ "eval_loss": 1.0865511894226074,
434
+ "eval_runtime": 3.0136,
435
+ "eval_samples_per_second": 51.766,
436
+ "eval_steps_per_second": 2.655,
437
+ "step": 280
438
+ },
439
+ {
440
+ "epoch": 0.232,
441
+ "grad_norm": 2.5818262100219727,
442
+ "learning_rate": 2.8435676403591193e-05,
443
+ "loss": 1.0708,
444
+ "step": 290
445
+ },
446
+ {
447
+ "epoch": 0.232,
448
+ "eval_loss": 1.0967109203338623,
449
+ "eval_runtime": 3.0116,
450
+ "eval_samples_per_second": 51.8,
451
+ "eval_steps_per_second": 2.656,
452
+ "step": 290
453
+ },
454
+ {
455
+ "epoch": 0.24,
456
+ "grad_norm": 3.1398000717163086,
457
+ "learning_rate": 2.8244213892883907e-05,
458
+ "loss": 1.0921,
459
+ "step": 300
460
+ },
461
+ {
462
+ "epoch": 0.24,
463
+ "eval_loss": 1.1191679239273071,
464
+ "eval_runtime": 3.0116,
465
+ "eval_samples_per_second": 51.8,
466
+ "eval_steps_per_second": 2.656,
467
+ "step": 300
468
+ },
469
+ {
470
+ "epoch": 0.248,
471
+ "grad_norm": 2.4209301471710205,
472
+ "learning_rate": 2.8042423942578285e-05,
473
+ "loss": 1.1155,
474
+ "step": 310
475
+ },
476
+ {
477
+ "epoch": 0.248,
478
+ "eval_loss": 1.1559284925460815,
479
+ "eval_runtime": 3.0159,
480
+ "eval_samples_per_second": 51.725,
481
+ "eval_steps_per_second": 2.653,
482
+ "step": 310
483
+ },
484
+ {
485
+ "epoch": 0.256,
486
+ "grad_norm": 2.8402583599090576,
487
+ "learning_rate": 2.78304639024076e-05,
488
+ "loss": 1.1269,
489
+ "step": 320
490
+ },
491
+ {
492
+ "epoch": 0.256,
493
+ "eval_loss": 1.1549513339996338,
494
+ "eval_runtime": 3.0068,
495
+ "eval_samples_per_second": 51.882,
496
+ "eval_steps_per_second": 2.661,
497
+ "step": 320
498
+ },
499
+ {
500
+ "epoch": 0.264,
501
+ "grad_norm": 2.46132755279541,
502
+ "learning_rate": 2.7608499052435265e-05,
503
+ "loss": 1.1088,
504
+ "step": 330
505
+ },
506
+ {
507
+ "epoch": 0.264,
508
+ "eval_loss": 1.1405725479125977,
509
+ "eval_runtime": 3.0049,
510
+ "eval_samples_per_second": 51.914,
511
+ "eval_steps_per_second": 2.662,
512
+ "step": 330
513
+ },
514
+ {
515
+ "epoch": 0.272,
516
+ "grad_norm": 2.852588176727295,
517
+ "learning_rate": 2.7376702474174428e-05,
518
+ "loss": 1.0859,
519
+ "step": 340
520
+ },
521
+ {
522
+ "epoch": 0.272,
523
+ "eval_loss": 1.1068381071090698,
524
+ "eval_runtime": 3.0037,
525
+ "eval_samples_per_second": 51.936,
526
+ "eval_steps_per_second": 2.663,
527
+ "step": 340
528
+ },
529
+ {
530
+ "epoch": 0.28,
531
+ "grad_norm": 2.3993775844573975,
532
+ "learning_rate": 2.7135254915624213e-05,
533
+ "loss": 1.1132,
534
+ "step": 350
535
+ },
536
+ {
537
+ "epoch": 0.28,
538
+ "eval_loss": 1.1167492866516113,
539
+ "eval_runtime": 3.0024,
540
+ "eval_samples_per_second": 51.959,
541
+ "eval_steps_per_second": 2.665,
542
+ "step": 350
543
+ },
544
+ {
545
+ "epoch": 0.288,
546
+ "grad_norm": 2.4123260974884033,
547
+ "learning_rate": 2.688434465032786e-05,
548
+ "loss": 1.0702,
549
+ "step": 360
550
+ },
551
+ {
552
+ "epoch": 0.288,
553
+ "eval_loss": 1.0937358140945435,
554
+ "eval_runtime": 3.0087,
555
+ "eval_samples_per_second": 51.849,
556
+ "eval_steps_per_second": 2.659,
557
+ "step": 360
558
+ },
559
+ {
560
+ "epoch": 0.296,
561
+ "grad_norm": 2.667454719543457,
562
+ "learning_rate": 2.6624167330562697e-05,
563
+ "loss": 1.1427,
564
+ "step": 370
565
+ },
566
+ {
567
+ "epoch": 0.296,
568
+ "eval_loss": 1.1052156686782837,
569
+ "eval_runtime": 3.0045,
570
+ "eval_samples_per_second": 51.922,
571
+ "eval_steps_per_second": 2.663,
572
+ "step": 370
573
+ },
574
+ {
575
+ "epoch": 0.304,
576
+ "grad_norm": 2.4109561443328857,
577
+ "learning_rate": 2.6354925834776346e-05,
578
+ "loss": 1.1124,
579
+ "step": 380
580
+ },
581
+ {
582
+ "epoch": 0.304,
583
+ "eval_loss": 1.1146537065505981,
584
+ "eval_runtime": 3.0047,
585
+ "eval_samples_per_second": 51.918,
586
+ "eval_steps_per_second": 2.662,
587
+ "step": 380
588
+ },
589
+ {
590
+ "epoch": 0.312,
591
+ "grad_norm": 2.661153554916382,
592
+ "learning_rate": 2.607683010938826e-05,
593
+ "loss": 1.1431,
594
+ "step": 390
595
+ },
596
+ {
597
+ "epoch": 0.312,
598
+ "eval_loss": 1.139147400856018,
599
+ "eval_runtime": 3.0049,
600
+ "eval_samples_per_second": 51.915,
601
+ "eval_steps_per_second": 2.662,
602
+ "step": 390
603
+ },
604
+ {
605
+ "epoch": 0.32,
606
+ "grad_norm": 2.762219190597534,
607
+ "learning_rate": 2.5790097005079766e-05,
608
+ "loss": 1.1471,
609
+ "step": 400
610
+ },
611
+ {
612
+ "epoch": 0.32,
613
+ "eval_loss": 1.1363451480865479,
614
+ "eval_runtime": 3.012,
615
+ "eval_samples_per_second": 51.792,
616
+ "eval_steps_per_second": 2.656,
617
+ "step": 400
618
+ },
619
+ {
620
+ "epoch": 0.328,
621
+ "grad_norm": 2.473832368850708,
622
+ "learning_rate": 2.5494950107700482e-05,
623
+ "loss": 1.1466,
624
+ "step": 410
625
+ },
626
+ {
627
+ "epoch": 0.328,
628
+ "eval_loss": 1.1255215406417847,
629
+ "eval_runtime": 3.0084,
630
+ "eval_samples_per_second": 51.855,
631
+ "eval_steps_per_second": 2.659,
632
+ "step": 410
633
+ },
634
+ {
635
+ "epoch": 0.336,
636
+ "grad_norm": 2.8688554763793945,
637
+ "learning_rate": 2.519161956392275e-05,
638
+ "loss": 1.0485,
639
+ "step": 420
640
+ },
641
+ {
642
+ "epoch": 0.336,
643
+ "eval_loss": 1.1306232213974,
644
+ "eval_runtime": 3.0061,
645
+ "eval_samples_per_second": 51.894,
646
+ "eval_steps_per_second": 2.661,
647
+ "step": 420
648
+ },
649
+ {
650
+ "epoch": 0.344,
651
+ "grad_norm": 2.7669804096221924,
652
+ "learning_rate": 2.4880341901780205e-05,
653
+ "loss": 1.0817,
654
+ "step": 430
655
+ },
656
+ {
657
+ "epoch": 0.344,
658
+ "eval_loss": 1.124632716178894,
659
+ "eval_runtime": 3.0118,
660
+ "eval_samples_per_second": 51.797,
661
+ "eval_steps_per_second": 2.656,
662
+ "step": 430
663
+ },
664
+ {
665
+ "epoch": 0.352,
666
+ "grad_norm": 2.8019163608551025,
667
+ "learning_rate": 2.4561359846230346e-05,
668
+ "loss": 1.0918,
669
+ "step": 440
670
+ },
671
+ {
672
+ "epoch": 0.352,
673
+ "eval_loss": 1.1212003231048584,
674
+ "eval_runtime": 3.0142,
675
+ "eval_samples_per_second": 51.755,
676
+ "eval_steps_per_second": 2.654,
677
+ "step": 440
678
+ },
679
+ {
680
+ "epoch": 0.36,
681
+ "grad_norm": 3.220196485519409,
682
+ "learning_rate": 2.4234922129884873e-05,
683
+ "loss": 1.0958,
684
+ "step": 450
685
+ },
686
+ {
687
+ "epoch": 0.36,
688
+ "eval_loss": 1.1051884889602661,
689
+ "eval_runtime": 3.0146,
690
+ "eval_samples_per_second": 51.748,
691
+ "eval_steps_per_second": 2.654,
692
+ "step": 450
693
+ },
694
+ {
695
+ "epoch": 0.368,
696
+ "grad_norm": 2.7096750736236572,
697
+ "learning_rate": 2.3901283299055524e-05,
698
+ "loss": 1.0681,
699
+ "step": 460
700
+ },
701
+ {
702
+ "epoch": 0.368,
703
+ "eval_loss": 1.0787197351455688,
704
+ "eval_runtime": 3.0111,
705
+ "eval_samples_per_second": 51.809,
706
+ "eval_steps_per_second": 2.657,
707
+ "step": 460
708
+ },
709
+ {
710
+ "epoch": 0.376,
711
+ "grad_norm": 2.8523542881011963,
712
+ "learning_rate": 2.356070351526648e-05,
713
+ "loss": 1.095,
714
+ "step": 470
715
+ },
716
+ {
717
+ "epoch": 0.376,
718
+ "eval_loss": 1.0948532819747925,
719
+ "eval_runtime": 3.004,
720
+ "eval_samples_per_second": 51.931,
721
+ "eval_steps_per_second": 2.663,
722
+ "step": 470
723
+ },
724
+ {
725
+ "epoch": 0.384,
726
+ "grad_norm": 3.2367355823516846,
727
+ "learning_rate": 2.3213448352388256e-05,
728
+ "loss": 1.0575,
729
+ "step": 480
730
+ },
731
+ {
732
+ "epoch": 0.384,
733
+ "eval_loss": 1.082040786743164,
734
+ "eval_runtime": 3.0033,
735
+ "eval_samples_per_second": 51.943,
736
+ "eval_steps_per_second": 2.664,
737
+ "step": 480
738
+ },
739
+ {
740
+ "epoch": 0.392,
741
+ "grad_norm": 2.410609006881714,
742
+ "learning_rate": 2.285978858955119e-05,
743
+ "loss": 1.0265,
744
+ "step": 490
745
+ },
746
+ {
747
+ "epoch": 0.392,
748
+ "eval_loss": 1.0808920860290527,
749
+ "eval_runtime": 3.0115,
750
+ "eval_samples_per_second": 51.801,
751
+ "eval_steps_per_second": 2.656,
752
+ "step": 490
753
+ },
754
+ {
755
+ "epoch": 0.4,
756
+ "grad_norm": 3.2114365100860596,
757
+ "learning_rate": 2.25e-05,
758
+ "loss": 1.0819,
759
+ "step": 500
760
+ },
761
+ {
762
+ "epoch": 0.4,
763
+ "eval_loss": 1.0693764686584473,
764
+ "eval_runtime": 3.009,
765
+ "eval_samples_per_second": 51.844,
766
+ "eval_steps_per_second": 2.659,
767
+ "step": 500
768
+ }
769
+ ],
770
+ "logging_steps": 10,
771
+ "max_steps": 1250,
772
+ "num_input_tokens_seen": 0,
773
+ "num_train_epochs": 1,
774
+ "save_steps": 500,
775
+ "total_flos": 2.715405190483149e+16,
776
+ "train_batch_size": 2,
777
+ "trial_name": null,
778
+ "trial_params": null
779
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c4b410ed29161e6d200ccb390a76ded6490981ada952a9477733d3082bb4fb1f
3
+ size 5112