rabiulawal commited on
Commit
892175b
·
verified ·
1 Parent(s): a426e8a

Add files using upload-large-folder tool

Browse files
config.json ADDED
@@ -0,0 +1,38 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "BAAI/Emu3-Stage1",
3
+ "architectures": [
4
+ "Emu3ForCausalLM"
5
+ ],
6
+ "attention_dropout": 0.1,
7
+ "auto_map": {
8
+ "AutoConfig": "BAAI/Emu3-Stage1--configuration_emu3.Emu3Config",
9
+ "AutoModelForCausalLM": "BAAI/Emu3-Stage1--modeling_emu3.Emu3ForCausalLM"
10
+ },
11
+ "boi_token_id": 151852,
12
+ "bos_token_id": 151849,
13
+ "eof_token_id": 151847,
14
+ "eoi_token_id": 151853,
15
+ "eol_token_id": 151846,
16
+ "eos_token_id": 151850,
17
+ "hidden_act": "silu",
18
+ "hidden_size": 4096,
19
+ "image_area": 65536,
20
+ "img_token_id": 151851,
21
+ "initializer_range": 0.02,
22
+ "intermediate_size": 14336,
23
+ "max_position_embeddings": 4300,
24
+ "model_type": "Emu3",
25
+ "num_attention_heads": 32,
26
+ "num_hidden_layers": 32,
27
+ "num_key_value_heads": 8,
28
+ "pad_token_id": 151643,
29
+ "pretraining_tp": 1,
30
+ "rms_norm_eps": 1e-05,
31
+ "rope_scaling": null,
32
+ "rope_theta": 1000000.0,
33
+ "tie_word_embeddings": false,
34
+ "torch_dtype": "bfloat16",
35
+ "transformers_version": "4.44.0",
36
+ "use_cache": false,
37
+ "vocab_size": 184622
38
+ }
generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 151849,
4
+ "eos_token_id": 151850,
5
+ "pad_token_id": 151643,
6
+ "transformers_version": "4.44.0"
7
+ }
model-00001-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:09d3e19a322e5b1297b08c1323a33e61fd8f6f9981eb793aabae29dd3c90d67e
3
+ size 4884766656
model-00002-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:94c43f2ee52e35f7f03f92f4459789c956af4c57322ac467bd35b8603f713ff1
3
+ size 4999819320
model-00003-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:89173b2b450f39cc71af24a55147f3c371ab05525cd02e44fc05051a5e1910c1
3
+ size 4915916184
model-00004-of-00004.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:98da8acc2927ba0aa54de87755999f70e70707933bfb5a65bbc87ae5e7831602
3
+ size 2183554760
model.safetensors.index.json ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 16984023040
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00004-of-00004.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00004.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
13
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
14
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
15
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
16
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
17
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
18
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
19
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
20
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
21
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
22
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
23
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
24
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
25
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
26
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
27
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
28
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
29
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
30
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
31
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
32
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
33
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
34
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
35
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
36
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
37
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
38
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
39
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
40
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
41
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
42
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
43
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
44
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
45
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
46
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
47
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
48
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
49
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
50
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
51
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
52
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
53
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
54
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
55
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
56
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
57
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
58
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
59
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
60
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
61
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
62
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
63
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
64
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
65
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
66
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
67
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
68
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
69
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
70
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
71
+ "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
72
+ "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
73
+ "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
74
+ "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
75
+ "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
76
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
77
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
78
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
79
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
80
+ "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
81
+ "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
82
+ "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
83
+ "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
84
+ "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
85
+ "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
86
+ "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
87
+ "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
88
+ "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
89
+ "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
90
+ "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
91
+ "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
92
+ "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
93
+ "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
94
+ "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
95
+ "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
96
+ "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
97
+ "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
98
+ "model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
99
+ "model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
100
+ "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
101
+ "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
102
+ "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
103
+ "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
104
+ "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
105
+ "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
106
+ "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
107
+ "model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
108
+ "model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
109
+ "model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
110
+ "model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
111
+ "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
112
+ "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
113
+ "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
114
+ "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
115
+ "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
116
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
117
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
118
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
119
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
120
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
121
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
122
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
123
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
124
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
125
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
126
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
127
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
128
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
129
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
130
+ "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
131
+ "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
132
+ "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
133
+ "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
134
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
135
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
136
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
137
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
138
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
139
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
140
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
141
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
142
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
143
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
144
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
145
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
146
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
147
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
148
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
149
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
150
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
151
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
152
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
153
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
154
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
155
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
156
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
157
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
158
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
159
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
160
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
161
+ "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
162
+ "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
163
+ "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
164
+ "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
165
+ "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
166
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
167
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
168
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
169
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
170
+ "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
171
+ "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
172
+ "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
173
+ "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
174
+ "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
175
+ "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
176
+ "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
177
+ "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
178
+ "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
179
+ "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
180
+ "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
181
+ "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
182
+ "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
183
+ "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
184
+ "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
185
+ "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
186
+ "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
187
+ "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
188
+ "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
189
+ "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
190
+ "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
191
+ "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
192
+ "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
193
+ "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
194
+ "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
195
+ "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
196
+ "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
197
+ "model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
198
+ "model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
199
+ "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
200
+ "model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
201
+ "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
202
+ "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
203
+ "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
204
+ "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
205
+ "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
206
+ "model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
207
+ "model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
208
+ "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
209
+ "model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
210
+ "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
211
+ "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
212
+ "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
213
+ "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
214
+ "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
215
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
216
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
217
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
218
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
219
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
220
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
221
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
222
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
223
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
224
+ "model.layers.30.input_layernorm.weight": "model-00004-of-00004.safetensors",
225
+ "model.layers.30.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
226
+ "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
227
+ "model.layers.30.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
228
+ "model.layers.30.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
229
+ "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
230
+ "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
231
+ "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
232
+ "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
233
+ "model.layers.31.input_layernorm.weight": "model-00004-of-00004.safetensors",
234
+ "model.layers.31.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
235
+ "model.layers.31.mlp.gate_proj.weight": "model-00004-of-00004.safetensors",
236
+ "model.layers.31.mlp.up_proj.weight": "model-00004-of-00004.safetensors",
237
+ "model.layers.31.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
238
+ "model.layers.31.self_attn.k_proj.weight": "model-00004-of-00004.safetensors",
239
+ "model.layers.31.self_attn.o_proj.weight": "model-00004-of-00004.safetensors",
240
+ "model.layers.31.self_attn.q_proj.weight": "model-00004-of-00004.safetensors",
241
+ "model.layers.31.self_attn.v_proj.weight": "model-00004-of-00004.safetensors",
242
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
243
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
244
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
245
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
246
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
247
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
248
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
249
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
250
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
251
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
252
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
253
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
254
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
255
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
256
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
257
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
258
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
259
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
260
+ "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
261
+ "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
262
+ "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
263
+ "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
264
+ "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
265
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
266
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
267
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
268
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
269
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00004.safetensors",
270
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
271
+ "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
272
+ "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
273
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
274
+ "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
275
+ "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
276
+ "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
277
+ "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
278
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
279
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
280
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
281
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
282
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
283
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
284
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
285
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
286
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
287
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
288
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
289
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
290
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
291
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
292
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
293
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
294
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
295
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
296
+ "model.norm.weight": "model-00004-of-00004.safetensors"
297
+ }
298
+ }
rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c361a54bb98632eca653ebbbde03fde0c66d8fd6153a6c3d7d471c7866c30a22
3
+ size 15984
rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8f511c4ca211740b8b3a024d6497fae2c9b7ae2483a4f3ff823f45eaf56061e9
3
+ size 15984
rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5035d6c94d0823711df0867e61393a89c02d13ff6b2bc23ff1b042a539e9411c
3
+ size 15984
rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0094f43aa3f97099c65a354d0578c6aff4f03bb7abd71c4c645fcb0ba7d315ad
3
+ size 15984
rng_state_4.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6dd4df529d17901c20b562c8727464fbc1002c2ceff37bb88d1a92eca08a2c16
3
+ size 15984
rng_state_5.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c41b2cddbed24adf345fe92f7b39b44520ebef39cb140e957ddf417a134b18dd
3
+ size 15984
rng_state_6.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b858adb1d55770c9d9e7f6a7c9c95171919b300c6d589cb64738504f5d2eb963
3
+ size 15984
rng_state_7.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ee47f99fbd11989686b5780a4e0a6f6f3709e515120b0094d0dfc4a28e26f96f
3
+ size 15984
trainer_state.json ADDED
@@ -0,0 +1,2321 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 26.812761843377377,
5
+ "eval_steps": 100,
6
+ "global_step": 10400,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.12890750886239125,
13
+ "grad_norm": 5.744519798404323,
14
+ "learning_rate": 1e-05,
15
+ "loss": 3.8898,
16
+ "step": 50
17
+ },
18
+ {
19
+ "epoch": 0.2578150177247825,
20
+ "grad_norm": 7.663336118255639,
21
+ "learning_rate": 9.999766822485166e-06,
22
+ "loss": 2.7367,
23
+ "step": 100
24
+ },
25
+ {
26
+ "epoch": 0.2578150177247825,
27
+ "eval_loss": 2.547008991241455,
28
+ "eval_runtime": 13.6928,
29
+ "eval_samples_per_second": 73.031,
30
+ "eval_steps_per_second": 2.337,
31
+ "step": 100
32
+ },
33
+ {
34
+ "epoch": 0.3867225265871737,
35
+ "grad_norm": 6.687747513820881,
36
+ "learning_rate": 9.999067314105889e-06,
37
+ "loss": 2.4915,
38
+ "step": 150
39
+ },
40
+ {
41
+ "epoch": 0.515630035449565,
42
+ "grad_norm": 3.3619995730848027,
43
+ "learning_rate": 9.997901547355329e-06,
44
+ "loss": 2.3844,
45
+ "step": 200
46
+ },
47
+ {
48
+ "epoch": 0.515630035449565,
49
+ "eval_loss": 2.2610087394714355,
50
+ "eval_runtime": 13.0766,
51
+ "eval_samples_per_second": 76.472,
52
+ "eval_steps_per_second": 2.447,
53
+ "step": 200
54
+ },
55
+ {
56
+ "epoch": 0.6445375443119562,
57
+ "grad_norm": 5.032691180052785,
58
+ "learning_rate": 9.996269643047091e-06,
59
+ "loss": 2.2534,
60
+ "step": 250
61
+ },
62
+ {
63
+ "epoch": 0.7734450531743474,
64
+ "grad_norm": 3.975968794985624,
65
+ "learning_rate": 9.99417177030268e-06,
66
+ "loss": 2.1781,
67
+ "step": 300
68
+ },
69
+ {
70
+ "epoch": 0.7734450531743474,
71
+ "eval_loss": 2.0959012508392334,
72
+ "eval_runtime": 13.0524,
73
+ "eval_samples_per_second": 76.614,
74
+ "eval_steps_per_second": 2.452,
75
+ "step": 300
76
+ },
77
+ {
78
+ "epoch": 0.9023525620367386,
79
+ "grad_norm": 3.795190451013864,
80
+ "learning_rate": 9.991608146533984e-06,
81
+ "loss": 2.1342,
82
+ "step": 350
83
+ },
84
+ {
85
+ "epoch": 1.03126007089913,
86
+ "grad_norm": 3.850079627270192,
87
+ "learning_rate": 9.988579037420745e-06,
88
+ "loss": 2.0796,
89
+ "step": 400
90
+ },
91
+ {
92
+ "epoch": 1.03126007089913,
93
+ "eval_loss": 2.029681921005249,
94
+ "eval_runtime": 13.0552,
95
+ "eval_samples_per_second": 76.598,
96
+ "eval_steps_per_second": 2.451,
97
+ "step": 400
98
+ },
99
+ {
100
+ "epoch": 1.1601675797615212,
101
+ "grad_norm": 2.0860401247438722,
102
+ "learning_rate": 9.985084756883026e-06,
103
+ "loss": 2.0583,
104
+ "step": 450
105
+ },
106
+ {
107
+ "epoch": 1.2890750886239124,
108
+ "grad_norm": 1.7587705935004414,
109
+ "learning_rate": 9.98112566704867e-06,
110
+ "loss": 2.0388,
111
+ "step": 500
112
+ },
113
+ {
114
+ "epoch": 1.2890750886239124,
115
+ "eval_loss": 1.9869602918624878,
116
+ "eval_runtime": 13.1308,
117
+ "eval_samples_per_second": 76.157,
118
+ "eval_steps_per_second": 2.437,
119
+ "step": 500
120
+ },
121
+ {
122
+ "epoch": 1.4179825974863036,
123
+ "grad_norm": 2.675426697648005,
124
+ "learning_rate": 9.97670217821578e-06,
125
+ "loss": 2.0418,
126
+ "step": 550
127
+ },
128
+ {
129
+ "epoch": 1.5468901063486948,
130
+ "grad_norm": 2.1347946648640694,
131
+ "learning_rate": 9.971814748810192e-06,
132
+ "loss": 2.0001,
133
+ "step": 600
134
+ },
135
+ {
136
+ "epoch": 1.5468901063486948,
137
+ "eval_loss": 1.963959813117981,
138
+ "eval_runtime": 13.0814,
139
+ "eval_samples_per_second": 76.444,
140
+ "eval_steps_per_second": 2.446,
141
+ "step": 600
142
+ },
143
+ {
144
+ "epoch": 1.675797615211086,
145
+ "grad_norm": 2.8870637538075505,
146
+ "learning_rate": 9.96646388533797e-06,
147
+ "loss": 1.9743,
148
+ "step": 650
149
+ },
150
+ {
151
+ "epoch": 1.8047051240734773,
152
+ "grad_norm": 4.178579445918737,
153
+ "learning_rate": 9.960650142332914e-06,
154
+ "loss": 1.9717,
155
+ "step": 700
156
+ },
157
+ {
158
+ "epoch": 1.8047051240734773,
159
+ "eval_loss": 1.9353902339935303,
160
+ "eval_runtime": 13.1146,
161
+ "eval_samples_per_second": 76.251,
162
+ "eval_steps_per_second": 2.44,
163
+ "step": 700
164
+ },
165
+ {
166
+ "epoch": 1.9336126329358685,
167
+ "grad_norm": 2.199357001490578,
168
+ "learning_rate": 9.954374122299082e-06,
169
+ "loss": 1.9634,
170
+ "step": 750
171
+ },
172
+ {
173
+ "epoch": 2.06252014179826,
174
+ "grad_norm": 2.166363542050421,
175
+ "learning_rate": 9.947636475648373e-06,
176
+ "loss": 1.9475,
177
+ "step": 800
178
+ },
179
+ {
180
+ "epoch": 2.06252014179826,
181
+ "eval_loss": 1.9235832691192627,
182
+ "eval_runtime": 13.0977,
183
+ "eval_samples_per_second": 76.349,
184
+ "eval_steps_per_second": 2.443,
185
+ "step": 800
186
+ },
187
+ {
188
+ "epoch": 2.191427650660651,
189
+ "grad_norm": 2.467046686495788,
190
+ "learning_rate": 9.940437900633096e-06,
191
+ "loss": 1.9309,
192
+ "step": 850
193
+ },
194
+ {
195
+ "epoch": 2.3203351595230424,
196
+ "grad_norm": 2.855139647937512,
197
+ "learning_rate": 9.932779143273619e-06,
198
+ "loss": 1.9347,
199
+ "step": 900
200
+ },
201
+ {
202
+ "epoch": 2.3203351595230424,
203
+ "eval_loss": 1.9101444482803345,
204
+ "eval_runtime": 13.1292,
205
+ "eval_samples_per_second": 76.166,
206
+ "eval_steps_per_second": 2.437,
207
+ "step": 900
208
+ },
209
+ {
210
+ "epoch": 2.4492426683854336,
211
+ "grad_norm": 1.9014562925621068,
212
+ "learning_rate": 9.92466099728106e-06,
213
+ "loss": 1.9278,
214
+ "step": 950
215
+ },
216
+ {
217
+ "epoch": 2.578150177247825,
218
+ "grad_norm": 1.3665703880188187,
219
+ "learning_rate": 9.91608430397502e-06,
220
+ "loss": 1.9157,
221
+ "step": 1000
222
+ },
223
+ {
224
+ "epoch": 2.578150177247825,
225
+ "eval_loss": 1.8934762477874756,
226
+ "eval_runtime": 13.0864,
227
+ "eval_samples_per_second": 76.415,
228
+ "eval_steps_per_second": 2.445,
229
+ "step": 1000
230
+ },
231
+ {
232
+ "epoch": 2.707057686110216,
233
+ "grad_norm": 1.2319877018351602,
234
+ "learning_rate": 9.907049952196403e-06,
235
+ "loss": 1.9105,
236
+ "step": 1050
237
+ },
238
+ {
239
+ "epoch": 2.8359651949726072,
240
+ "grad_norm": 1.5481172638750316,
241
+ "learning_rate": 9.897558878215295e-06,
242
+ "loss": 1.907,
243
+ "step": 1100
244
+ },
245
+ {
246
+ "epoch": 2.8359651949726072,
247
+ "eval_loss": 1.8839563131332397,
248
+ "eval_runtime": 13.153,
249
+ "eval_samples_per_second": 76.028,
250
+ "eval_steps_per_second": 2.433,
251
+ "step": 1100
252
+ },
253
+ {
254
+ "epoch": 2.9648727038349985,
255
+ "grad_norm": 2.045794673210496,
256
+ "learning_rate": 9.887612065633936e-06,
257
+ "loss": 1.8945,
258
+ "step": 1150
259
+ },
260
+ {
261
+ "epoch": 3.0937802126973897,
262
+ "grad_norm": 1.1757006962680892,
263
+ "learning_rate": 9.877210545284792e-06,
264
+ "loss": 1.888,
265
+ "step": 1200
266
+ },
267
+ {
268
+ "epoch": 3.0937802126973897,
269
+ "eval_loss": 1.874881386756897,
270
+ "eval_runtime": 13.1346,
271
+ "eval_samples_per_second": 76.135,
272
+ "eval_steps_per_second": 2.436,
273
+ "step": 1200
274
+ },
275
+ {
276
+ "epoch": 3.222687721559781,
277
+ "grad_norm": 4.950973442850626,
278
+ "learning_rate": 9.86635539512371e-06,
279
+ "loss": 1.8811,
280
+ "step": 1250
281
+ },
282
+ {
283
+ "epoch": 3.351595230422172,
284
+ "grad_norm": 1.8124376039297767,
285
+ "learning_rate": 9.855047740118221e-06,
286
+ "loss": 1.876,
287
+ "step": 1300
288
+ },
289
+ {
290
+ "epoch": 3.351595230422172,
291
+ "eval_loss": 1.86701238155365,
292
+ "eval_runtime": 13.0772,
293
+ "eval_samples_per_second": 76.469,
294
+ "eval_steps_per_second": 2.447,
295
+ "step": 1300
296
+ },
297
+ {
298
+ "epoch": 3.4805027392845633,
299
+ "grad_norm": 1.0286338189260262,
300
+ "learning_rate": 9.843288752130942e-06,
301
+ "loss": 1.8683,
302
+ "step": 1350
303
+ },
304
+ {
305
+ "epoch": 3.6094102481469545,
306
+ "grad_norm": 1.9894455905335977,
307
+ "learning_rate": 9.831079649798138e-06,
308
+ "loss": 1.8731,
309
+ "step": 1400
310
+ },
311
+ {
312
+ "epoch": 3.6094102481469545,
313
+ "eval_loss": 1.8612475395202637,
314
+ "eval_runtime": 13.1177,
315
+ "eval_samples_per_second": 76.233,
316
+ "eval_steps_per_second": 2.439,
317
+ "step": 1400
318
+ },
319
+ {
320
+ "epoch": 3.7383177570093458,
321
+ "grad_norm": 1.7685619948548048,
322
+ "learning_rate": 9.818421698403429e-06,
323
+ "loss": 1.8648,
324
+ "step": 1450
325
+ },
326
+ {
327
+ "epoch": 3.867225265871737,
328
+ "grad_norm": 1.5478355130519232,
329
+ "learning_rate": 9.805316209746655e-06,
330
+ "loss": 1.8665,
331
+ "step": 1500
332
+ },
333
+ {
334
+ "epoch": 3.867225265871737,
335
+ "eval_loss": 1.8537719249725342,
336
+ "eval_runtime": 13.1085,
337
+ "eval_samples_per_second": 76.286,
338
+ "eval_steps_per_second": 2.441,
339
+ "step": 1500
340
+ },
341
+ {
342
+ "epoch": 3.996132774734128,
343
+ "grad_norm": 2.1355502302510447,
344
+ "learning_rate": 9.791764542007945e-06,
345
+ "loss": 1.8655,
346
+ "step": 1550
347
+ },
348
+ {
349
+ "epoch": 4.12504028359652,
350
+ "grad_norm": 1.1480708382569662,
351
+ "learning_rate": 9.777768099606938e-06,
352
+ "loss": 1.8346,
353
+ "step": 1600
354
+ },
355
+ {
356
+ "epoch": 4.12504028359652,
357
+ "eval_loss": 1.8495159149169922,
358
+ "eval_runtime": 13.1242,
359
+ "eval_samples_per_second": 76.195,
360
+ "eval_steps_per_second": 2.438,
361
+ "step": 1600
362
+ },
363
+ {
364
+ "epoch": 4.253947792458911,
365
+ "grad_norm": 1.4360213593754323,
366
+ "learning_rate": 9.763328333057263e-06,
367
+ "loss": 1.8265,
368
+ "step": 1650
369
+ },
370
+ {
371
+ "epoch": 4.382855301321302,
372
+ "grad_norm": 1.8676589580299272,
373
+ "learning_rate": 9.748446738816201e-06,
374
+ "loss": 1.8391,
375
+ "step": 1700
376
+ },
377
+ {
378
+ "epoch": 4.382855301321302,
379
+ "eval_loss": 1.8443361520767212,
380
+ "eval_runtime": 13.1311,
381
+ "eval_samples_per_second": 76.155,
382
+ "eval_steps_per_second": 2.437,
383
+ "step": 1700
384
+ },
385
+ {
386
+ "epoch": 4.5117628101836935,
387
+ "grad_norm": 1.2690786695530565,
388
+ "learning_rate": 9.733124859129598e-06,
389
+ "loss": 1.8434,
390
+ "step": 1750
391
+ },
392
+ {
393
+ "epoch": 4.640670319046085,
394
+ "grad_norm": 1.0388627604335856,
395
+ "learning_rate": 9.717364281872047e-06,
396
+ "loss": 1.842,
397
+ "step": 1800
398
+ },
399
+ {
400
+ "epoch": 4.640670319046085,
401
+ "eval_loss": 1.8362445831298828,
402
+ "eval_runtime": 13.1151,
403
+ "eval_samples_per_second": 76.248,
404
+ "eval_steps_per_second": 2.44,
405
+ "step": 1800
406
+ },
407
+ {
408
+ "epoch": 4.769577827908476,
409
+ "grad_norm": 1.8674582891348575,
410
+ "learning_rate": 9.701166640382317e-06,
411
+ "loss": 1.8308,
412
+ "step": 1850
413
+ },
414
+ {
415
+ "epoch": 4.898485336770867,
416
+ "grad_norm": 1.4621440377933717,
417
+ "learning_rate": 9.684533613294096e-06,
418
+ "loss": 1.8382,
419
+ "step": 1900
420
+ },
421
+ {
422
+ "epoch": 4.898485336770867,
423
+ "eval_loss": 1.831936240196228,
424
+ "eval_runtime": 13.0768,
425
+ "eval_samples_per_second": 76.472,
426
+ "eval_steps_per_second": 2.447,
427
+ "step": 1900
428
+ },
429
+ {
430
+ "epoch": 5.027392845633258,
431
+ "grad_norm": 1.0861177702948985,
432
+ "learning_rate": 9.667466924362013e-06,
433
+ "loss": 1.8308,
434
+ "step": 1950
435
+ },
436
+ {
437
+ "epoch": 5.15630035449565,
438
+ "grad_norm": 1.8095526457252593,
439
+ "learning_rate": 9.649968342283005e-06,
440
+ "loss": 1.8161,
441
+ "step": 2000
442
+ },
443
+ {
444
+ "epoch": 5.15630035449565,
445
+ "eval_loss": 1.829033374786377,
446
+ "eval_runtime": 13.067,
447
+ "eval_samples_per_second": 76.529,
448
+ "eval_steps_per_second": 2.449,
449
+ "step": 2000
450
+ },
451
+ {
452
+ "epoch": 5.285207863358041,
453
+ "grad_norm": 1.518641242728159,
454
+ "learning_rate": 9.632039680513024e-06,
455
+ "loss": 1.8007,
456
+ "step": 2050
457
+ },
458
+ {
459
+ "epoch": 5.414115372220432,
460
+ "grad_norm": 1.0542508895398046,
461
+ "learning_rate": 9.613682797079086e-06,
462
+ "loss": 1.7999,
463
+ "step": 2100
464
+ },
465
+ {
466
+ "epoch": 5.414115372220432,
467
+ "eval_loss": 1.8255321979522705,
468
+ "eval_runtime": 13.0764,
469
+ "eval_samples_per_second": 76.474,
470
+ "eval_steps_per_second": 2.447,
471
+ "step": 2100
472
+ },
473
+ {
474
+ "epoch": 5.543022881082823,
475
+ "grad_norm": 1.9568398940474616,
476
+ "learning_rate": 9.594899594386732e-06,
477
+ "loss": 1.8189,
478
+ "step": 2150
479
+ },
480
+ {
481
+ "epoch": 5.6719303899452145,
482
+ "grad_norm": 0.8933581069243784,
483
+ "learning_rate": 9.57569201902286e-06,
484
+ "loss": 1.8066,
485
+ "step": 2200
486
+ },
487
+ {
488
+ "epoch": 5.6719303899452145,
489
+ "eval_loss": 1.8212575912475586,
490
+ "eval_runtime": 13.0944,
491
+ "eval_samples_per_second": 76.369,
492
+ "eval_steps_per_second": 2.444,
493
+ "step": 2200
494
+ },
495
+ {
496
+ "epoch": 5.800837898807606,
497
+ "grad_norm": 0.7789642769876175,
498
+ "learning_rate": 9.556062061553995e-06,
499
+ "loss": 1.8068,
500
+ "step": 2250
501
+ },
502
+ {
503
+ "epoch": 5.929745407669997,
504
+ "grad_norm": 1.0394842073428503,
505
+ "learning_rate": 9.536011756320011e-06,
506
+ "loss": 1.8165,
507
+ "step": 2300
508
+ },
509
+ {
510
+ "epoch": 5.929745407669997,
511
+ "eval_loss": 1.8185018301010132,
512
+ "eval_runtime": 13.0777,
513
+ "eval_samples_per_second": 76.466,
514
+ "eval_steps_per_second": 2.447,
515
+ "step": 2300
516
+ },
517
+ {
518
+ "epoch": 6.058652916532388,
519
+ "grad_norm": 1.9360605440141716,
520
+ "learning_rate": 9.515543181223277e-06,
521
+ "loss": 1.7866,
522
+ "step": 2350
523
+ },
524
+ {
525
+ "epoch": 6.187560425394779,
526
+ "grad_norm": 1.2520661239107576,
527
+ "learning_rate": 9.494658457513341e-06,
528
+ "loss": 1.7824,
529
+ "step": 2400
530
+ },
531
+ {
532
+ "epoch": 6.187560425394779,
533
+ "eval_loss": 1.8156663179397583,
534
+ "eval_runtime": 13.1655,
535
+ "eval_samples_per_second": 75.956,
536
+ "eval_steps_per_second": 2.431,
537
+ "step": 2400
538
+ },
539
+ {
540
+ "epoch": 6.316467934257171,
541
+ "grad_norm": 1.000324849529494,
542
+ "learning_rate": 9.473359749567078e-06,
543
+ "loss": 1.7615,
544
+ "step": 2450
545
+ },
546
+ {
547
+ "epoch": 6.445375443119562,
548
+ "grad_norm": 1.3836801021717113,
549
+ "learning_rate": 9.451649264664393e-06,
550
+ "loss": 1.7862,
551
+ "step": 2500
552
+ },
553
+ {
554
+ "epoch": 6.445375443119562,
555
+ "eval_loss": 1.8142428398132324,
556
+ "eval_runtime": 13.1078,
557
+ "eval_samples_per_second": 76.29,
558
+ "eval_steps_per_second": 2.441,
559
+ "step": 2500
560
+ },
561
+ {
562
+ "epoch": 6.574282951981953,
563
+ "grad_norm": 1.185972658017016,
564
+ "learning_rate": 9.429529252759473e-06,
565
+ "loss": 1.7781,
566
+ "step": 2550
567
+ },
568
+ {
569
+ "epoch": 6.703190460844344,
570
+ "grad_norm": 1.3211128393117773,
571
+ "learning_rate": 9.407002006247607e-06,
572
+ "loss": 1.7938,
573
+ "step": 2600
574
+ },
575
+ {
576
+ "epoch": 6.703190460844344,
577
+ "eval_loss": 1.8131171464920044,
578
+ "eval_runtime": 13.1513,
579
+ "eval_samples_per_second": 76.038,
580
+ "eval_steps_per_second": 2.433,
581
+ "step": 2600
582
+ },
583
+ {
584
+ "epoch": 6.832097969706735,
585
+ "grad_norm": 0.8590841147093398,
586
+ "learning_rate": 9.38406985972762e-06,
587
+ "loss": 1.7819,
588
+ "step": 2650
589
+ },
590
+ {
591
+ "epoch": 6.961005478569127,
592
+ "grad_norm": 1.1002946939980542,
593
+ "learning_rate": 9.360735189759931e-06,
594
+ "loss": 1.779,
595
+ "step": 2700
596
+ },
597
+ {
598
+ "epoch": 6.961005478569127,
599
+ "eval_loss": 1.8070383071899414,
600
+ "eval_runtime": 13.1109,
601
+ "eval_samples_per_second": 76.272,
602
+ "eval_steps_per_second": 2.441,
603
+ "step": 2700
604
+ },
605
+ {
606
+ "epoch": 7.089912987431518,
607
+ "grad_norm": 0.817596374129843,
608
+ "learning_rate": 9.33700041462025e-06,
609
+ "loss": 1.753,
610
+ "step": 2750
611
+ },
612
+ {
613
+ "epoch": 7.218820496293909,
614
+ "grad_norm": 1.0808717745133152,
615
+ "learning_rate": 9.312867994048968e-06,
616
+ "loss": 1.7458,
617
+ "step": 2800
618
+ },
619
+ {
620
+ "epoch": 7.218820496293909,
621
+ "eval_loss": 1.8095868825912476,
622
+ "eval_runtime": 13.1323,
623
+ "eval_samples_per_second": 76.148,
624
+ "eval_steps_per_second": 2.437,
625
+ "step": 2800
626
+ },
627
+ {
628
+ "epoch": 7.3477280051563,
629
+ "grad_norm": 0.8442636870457885,
630
+ "learning_rate": 9.288340428996245e-06,
631
+ "loss": 1.757,
632
+ "step": 2850
633
+ },
634
+ {
635
+ "epoch": 7.4766355140186915,
636
+ "grad_norm": 1.0951706799923664,
637
+ "learning_rate": 9.263420261362819e-06,
638
+ "loss": 1.7664,
639
+ "step": 2900
640
+ },
641
+ {
642
+ "epoch": 7.4766355140186915,
643
+ "eval_loss": 1.8063181638717651,
644
+ "eval_runtime": 13.1116,
645
+ "eval_samples_per_second": 76.268,
646
+ "eval_steps_per_second": 2.441,
647
+ "step": 2900
648
+ },
649
+ {
650
+ "epoch": 7.605543022881083,
651
+ "grad_norm": 0.8139272254320195,
652
+ "learning_rate": 9.238110073736583e-06,
653
+ "loss": 1.761,
654
+ "step": 2950
655
+ },
656
+ {
657
+ "epoch": 7.734450531743474,
658
+ "grad_norm": 0.6888444622016576,
659
+ "learning_rate": 9.212412489124936e-06,
660
+ "loss": 1.7547,
661
+ "step": 3000
662
+ },
663
+ {
664
+ "epoch": 7.734450531743474,
665
+ "eval_loss": 1.8043750524520874,
666
+ "eval_runtime": 13.1107,
667
+ "eval_samples_per_second": 76.273,
668
+ "eval_steps_per_second": 2.441,
669
+ "step": 3000
670
+ },
671
+ {
672
+ "epoch": 7.863358040605865,
673
+ "grad_norm": 1.018729521686255,
674
+ "learning_rate": 9.186330170682957e-06,
675
+ "loss": 1.7442,
676
+ "step": 3050
677
+ },
678
+ {
679
+ "epoch": 7.992265549468256,
680
+ "grad_norm": 0.8799323123741036,
681
+ "learning_rate": 9.159865821437395e-06,
682
+ "loss": 1.7638,
683
+ "step": 3100
684
+ },
685
+ {
686
+ "epoch": 7.992265549468256,
687
+ "eval_loss": 1.8019227981567383,
688
+ "eval_runtime": 13.0997,
689
+ "eval_samples_per_second": 76.338,
690
+ "eval_steps_per_second": 2.443,
691
+ "step": 3100
692
+ },
693
+ {
694
+ "epoch": 8.121173058330648,
695
+ "grad_norm": 1.4687960864251868,
696
+ "learning_rate": 9.133022184006557e-06,
697
+ "loss": 1.731,
698
+ "step": 3150
699
+ },
700
+ {
701
+ "epoch": 8.25008056719304,
702
+ "grad_norm": 0.9161146205099422,
703
+ "learning_rate": 9.105802040316072e-06,
704
+ "loss": 1.7358,
705
+ "step": 3200
706
+ },
707
+ {
708
+ "epoch": 8.25008056719304,
709
+ "eval_loss": 1.8057516813278198,
710
+ "eval_runtime": 13.1035,
711
+ "eval_samples_per_second": 76.316,
712
+ "eval_steps_per_second": 2.442,
713
+ "step": 3200
714
+ },
715
+ {
716
+ "epoch": 8.37898807605543,
717
+ "grad_norm": 0.8698810995163442,
718
+ "learning_rate": 9.078208211310591e-06,
719
+ "loss": 1.7241,
720
+ "step": 3250
721
+ },
722
+ {
723
+ "epoch": 8.507895584917822,
724
+ "grad_norm": 0.9947966385810627,
725
+ "learning_rate": 9.050243556661431e-06,
726
+ "loss": 1.7311,
727
+ "step": 3300
728
+ },
729
+ {
730
+ "epoch": 8.507895584917822,
731
+ "eval_loss": 1.8024331331253052,
732
+ "eval_runtime": 13.1243,
733
+ "eval_samples_per_second": 76.194,
734
+ "eval_steps_per_second": 2.438,
735
+ "step": 3300
736
+ },
737
+ {
738
+ "epoch": 8.636803093780212,
739
+ "grad_norm": 1.2907987005361603,
740
+ "learning_rate": 9.021910974470226e-06,
741
+ "loss": 1.7335,
742
+ "step": 3350
743
+ },
744
+ {
745
+ "epoch": 8.765710602642605,
746
+ "grad_norm": 0.9547137254617599,
747
+ "learning_rate": 8.993213400968581e-06,
748
+ "loss": 1.7266,
749
+ "step": 3400
750
+ },
751
+ {
752
+ "epoch": 8.765710602642605,
753
+ "eval_loss": 1.799899697303772,
754
+ "eval_runtime": 13.1032,
755
+ "eval_samples_per_second": 76.317,
756
+ "eval_steps_per_second": 2.442,
757
+ "step": 3400
758
+ },
759
+ {
760
+ "epoch": 8.894618111504995,
761
+ "grad_norm": 1.5800053647243488,
762
+ "learning_rate": 8.96415381021377e-06,
763
+ "loss": 1.7251,
764
+ "step": 3450
765
+ },
766
+ {
767
+ "epoch": 9.023525620367387,
768
+ "grad_norm": 1.1497644242985878,
769
+ "learning_rate": 8.934735213780525e-06,
770
+ "loss": 1.7321,
771
+ "step": 3500
772
+ },
773
+ {
774
+ "epoch": 9.023525620367387,
775
+ "eval_loss": 1.8060522079467773,
776
+ "eval_runtime": 13.0546,
777
+ "eval_samples_per_second": 76.601,
778
+ "eval_steps_per_second": 2.451,
779
+ "step": 3500
780
+ },
781
+ {
782
+ "epoch": 9.152433129229777,
783
+ "grad_norm": 0.8880170559763843,
784
+ "learning_rate": 8.904960660448944e-06,
785
+ "loss": 1.6982,
786
+ "step": 3550
787
+ },
788
+ {
789
+ "epoch": 9.28134063809217,
790
+ "grad_norm": 0.906726525842874,
791
+ "learning_rate": 8.87483323588851e-06,
792
+ "loss": 1.6925,
793
+ "step": 3600
794
+ },
795
+ {
796
+ "epoch": 9.28134063809217,
797
+ "eval_loss": 1.8056344985961914,
798
+ "eval_runtime": 13.1162,
799
+ "eval_samples_per_second": 76.242,
800
+ "eval_steps_per_second": 2.44,
801
+ "step": 3600
802
+ },
803
+ {
804
+ "epoch": 9.41024814695456,
805
+ "grad_norm": 0.7387925861728116,
806
+ "learning_rate": 8.844356062338336e-06,
807
+ "loss": 1.7154,
808
+ "step": 3650
809
+ },
810
+ {
811
+ "epoch": 9.539155655816952,
812
+ "grad_norm": 0.8098820460727597,
813
+ "learning_rate": 8.813532298283564e-06,
814
+ "loss": 1.7064,
815
+ "step": 3700
816
+ },
817
+ {
818
+ "epoch": 9.539155655816952,
819
+ "eval_loss": 1.8040461540222168,
820
+ "eval_runtime": 13.3504,
821
+ "eval_samples_per_second": 74.904,
822
+ "eval_steps_per_second": 2.397,
823
+ "step": 3700
824
+ },
825
+ {
826
+ "epoch": 9.668063164679342,
827
+ "grad_norm": 1.4812013438287208,
828
+ "learning_rate": 8.782365138128063e-06,
829
+ "loss": 1.7056,
830
+ "step": 3750
831
+ },
832
+ {
833
+ "epoch": 9.796970673541734,
834
+ "grad_norm": 1.4075421003153479,
835
+ "learning_rate": 8.750857811863372e-06,
836
+ "loss": 1.7055,
837
+ "step": 3800
838
+ },
839
+ {
840
+ "epoch": 9.796970673541734,
841
+ "eval_loss": 1.8006582260131836,
842
+ "eval_runtime": 13.1096,
843
+ "eval_samples_per_second": 76.28,
844
+ "eval_steps_per_second": 2.441,
845
+ "step": 3800
846
+ },
847
+ {
848
+ "epoch": 9.925878182404125,
849
+ "grad_norm": 0.979257993376132,
850
+ "learning_rate": 8.719013584733945e-06,
851
+ "loss": 1.7063,
852
+ "step": 3850
853
+ },
854
+ {
855
+ "epoch": 10.054785691266517,
856
+ "grad_norm": 1.0323392882881646,
857
+ "learning_rate": 8.68683575689878e-06,
858
+ "loss": 1.6982,
859
+ "step": 3900
860
+ },
861
+ {
862
+ "epoch": 10.054785691266517,
863
+ "eval_loss": 1.8088464736938477,
864
+ "eval_runtime": 13.1055,
865
+ "eval_samples_per_second": 76.304,
866
+ "eval_steps_per_second": 2.442,
867
+ "step": 3900
868
+ },
869
+ {
870
+ "epoch": 10.183693200128907,
871
+ "grad_norm": 0.8432865973087528,
872
+ "learning_rate": 8.654327663089404e-06,
873
+ "loss": 1.6697,
874
+ "step": 3950
875
+ },
876
+ {
877
+ "epoch": 10.3126007089913,
878
+ "grad_norm": 0.8501654365913497,
879
+ "learning_rate": 8.621492672264272e-06,
880
+ "loss": 1.6763,
881
+ "step": 4000
882
+ },
883
+ {
884
+ "epoch": 10.3126007089913,
885
+ "eval_loss": 1.80279541015625,
886
+ "eval_runtime": 13.176,
887
+ "eval_samples_per_second": 75.895,
888
+ "eval_steps_per_second": 2.429,
889
+ "step": 4000
890
+ },
891
+ {
892
+ "epoch": 10.44150821785369,
893
+ "grad_norm": 1.1664099220060633,
894
+ "learning_rate": 8.588334187259633e-06,
895
+ "loss": 1.6771,
896
+ "step": 4050
897
+ },
898
+ {
899
+ "epoch": 10.570415726716082,
900
+ "grad_norm": 0.9070460424097603,
901
+ "learning_rate": 8.554855644436876e-06,
902
+ "loss": 1.682,
903
+ "step": 4100
904
+ },
905
+ {
906
+ "epoch": 10.570415726716082,
907
+ "eval_loss": 1.8029946088790894,
908
+ "eval_runtime": 13.1056,
909
+ "eval_samples_per_second": 76.303,
910
+ "eval_steps_per_second": 2.442,
911
+ "step": 4100
912
+ },
913
+ {
914
+ "epoch": 10.699323235578472,
915
+ "grad_norm": 0.7662785544399567,
916
+ "learning_rate": 8.521060513326407e-06,
917
+ "loss": 1.681,
918
+ "step": 4150
919
+ },
920
+ {
921
+ "epoch": 10.828230744440864,
922
+ "grad_norm": 0.9591176236420089,
923
+ "learning_rate": 8.48695229626809e-06,
924
+ "loss": 1.6872,
925
+ "step": 4200
926
+ },
927
+ {
928
+ "epoch": 10.828230744440864,
929
+ "eval_loss": 1.8036599159240723,
930
+ "eval_runtime": 13.088,
931
+ "eval_samples_per_second": 76.406,
932
+ "eval_steps_per_second": 2.445,
933
+ "step": 4200
934
+ },
935
+ {
936
+ "epoch": 10.957138253303254,
937
+ "grad_norm": 0.943339564774533,
938
+ "learning_rate": 8.452534528048275e-06,
939
+ "loss": 1.6868,
940
+ "step": 4250
941
+ },
942
+ {
943
+ "epoch": 11.086045762165647,
944
+ "grad_norm": 0.7414322441654991,
945
+ "learning_rate": 8.417810775533475e-06,
946
+ "loss": 1.6488,
947
+ "step": 4300
948
+ },
949
+ {
950
+ "epoch": 11.086045762165647,
951
+ "eval_loss": 1.813919186592102,
952
+ "eval_runtime": 13.1081,
953
+ "eval_samples_per_second": 76.288,
954
+ "eval_steps_per_second": 2.441,
955
+ "step": 4300
956
+ },
957
+ {
958
+ "epoch": 11.214953271028037,
959
+ "grad_norm": 0.6902822159292165,
960
+ "learning_rate": 8.38278463730072e-06,
961
+ "loss": 1.6577,
962
+ "step": 4350
963
+ },
964
+ {
965
+ "epoch": 11.343860779890429,
966
+ "grad_norm": 0.9780746917670575,
967
+ "learning_rate": 8.34745974326462e-06,
968
+ "loss": 1.6536,
969
+ "step": 4400
970
+ },
971
+ {
972
+ "epoch": 11.343860779890429,
973
+ "eval_loss": 1.8024951219558716,
974
+ "eval_runtime": 13.0832,
975
+ "eval_samples_per_second": 76.434,
976
+ "eval_steps_per_second": 2.446,
977
+ "step": 4400
978
+ },
979
+ {
980
+ "epoch": 11.47276828875282,
981
+ "grad_norm": 0.7950931841673834,
982
+ "learning_rate": 8.311839754301177e-06,
983
+ "loss": 1.6462,
984
+ "step": 4450
985
+ },
986
+ {
987
+ "epoch": 11.601675797615211,
988
+ "grad_norm": 0.9131614430555427,
989
+ "learning_rate": 8.27592836186839e-06,
990
+ "loss": 1.6522,
991
+ "step": 4500
992
+ },
993
+ {
994
+ "epoch": 11.601675797615211,
995
+ "eval_loss": 1.8098039627075195,
996
+ "eval_runtime": 13.1139,
997
+ "eval_samples_per_second": 76.255,
998
+ "eval_steps_per_second": 2.44,
999
+ "step": 4500
1000
+ },
1001
+ {
1002
+ "epoch": 11.730583306477602,
1003
+ "grad_norm": 0.8580977622623023,
1004
+ "learning_rate": 8.239729287623703e-06,
1005
+ "loss": 1.6627,
1006
+ "step": 4550
1007
+ },
1008
+ {
1009
+ "epoch": 11.859490815339994,
1010
+ "grad_norm": 0.7817532513421999,
1011
+ "learning_rate": 8.2032462830383e-06,
1012
+ "loss": 1.6507,
1013
+ "step": 4600
1014
+ },
1015
+ {
1016
+ "epoch": 11.859490815339994,
1017
+ "eval_loss": 1.8016694784164429,
1018
+ "eval_runtime": 13.0936,
1019
+ "eval_samples_per_second": 76.373,
1020
+ "eval_steps_per_second": 2.444,
1021
+ "step": 4600
1022
+ },
1023
+ {
1024
+ "epoch": 11.988398324202384,
1025
+ "grad_norm": 0.8340792199465882,
1026
+ "learning_rate": 8.166483129008336e-06,
1027
+ "loss": 1.6449,
1028
+ "step": 4650
1029
+ },
1030
+ {
1031
+ "epoch": 12.117305833064776,
1032
+ "grad_norm": 0.8239168104274184,
1033
+ "learning_rate": 8.129443635463095e-06,
1034
+ "loss": 1.6331,
1035
+ "step": 4700
1036
+ },
1037
+ {
1038
+ "epoch": 12.117305833064776,
1039
+ "eval_loss": 1.8266417980194092,
1040
+ "eval_runtime": 13.0933,
1041
+ "eval_samples_per_second": 76.375,
1042
+ "eval_steps_per_second": 2.444,
1043
+ "step": 4700
1044
+ },
1045
+ {
1046
+ "epoch": 12.246213341927167,
1047
+ "grad_norm": 0.7643985140243877,
1048
+ "learning_rate": 8.09213164097016e-06,
1049
+ "loss": 1.6214,
1050
+ "step": 4750
1051
+ },
1052
+ {
1053
+ "epoch": 12.375120850789559,
1054
+ "grad_norm": 1.0119935939026563,
1055
+ "learning_rate": 8.054551012337596e-06,
1056
+ "loss": 1.6293,
1057
+ "step": 4800
1058
+ },
1059
+ {
1060
+ "epoch": 12.375120850789559,
1061
+ "eval_loss": 1.814489483833313,
1062
+ "eval_runtime": 13.1362,
1063
+ "eval_samples_per_second": 76.126,
1064
+ "eval_steps_per_second": 2.436,
1065
+ "step": 4800
1066
+ },
1067
+ {
1068
+ "epoch": 12.504028359651949,
1069
+ "grad_norm": 0.99601935123506,
1070
+ "learning_rate": 8.016705644213221e-06,
1071
+ "loss": 1.6158,
1072
+ "step": 4850
1073
+ },
1074
+ {
1075
+ "epoch": 12.632935868514341,
1076
+ "grad_norm": 1.225151026027347,
1077
+ "learning_rate": 7.978599458680985e-06,
1078
+ "loss": 1.6182,
1079
+ "step": 4900
1080
+ },
1081
+ {
1082
+ "epoch": 12.632935868514341,
1083
+ "eval_loss": 1.810306429862976,
1084
+ "eval_runtime": 13.0809,
1085
+ "eval_samples_per_second": 76.447,
1086
+ "eval_steps_per_second": 2.446,
1087
+ "step": 4900
1088
+ },
1089
+ {
1090
+ "epoch": 12.761843377376731,
1091
+ "grad_norm": 1.040904252547746,
1092
+ "learning_rate": 7.940236404854507e-06,
1093
+ "loss": 1.6243,
1094
+ "step": 4950
1095
+ },
1096
+ {
1097
+ "epoch": 12.890750886239124,
1098
+ "grad_norm": 0.9212298706701382,
1099
+ "learning_rate": 7.90162045846781e-06,
1100
+ "loss": 1.6299,
1101
+ "step": 5000
1102
+ },
1103
+ {
1104
+ "epoch": 12.890750886239124,
1105
+ "eval_loss": 1.8085706233978271,
1106
+ "eval_runtime": 13.2034,
1107
+ "eval_samples_per_second": 75.738,
1108
+ "eval_steps_per_second": 2.424,
1109
+ "step": 5000
1110
+ },
1111
+ {
1112
+ "epoch": 13.019658395101514,
1113
+ "grad_norm": 1.016215886840131,
1114
+ "learning_rate": 7.862755621463297e-06,
1115
+ "loss": 1.6146,
1116
+ "step": 5050
1117
+ },
1118
+ {
1119
+ "epoch": 13.148565903963906,
1120
+ "grad_norm": 0.8507288565788963,
1121
+ "learning_rate": 7.82364592157702e-06,
1122
+ "loss": 1.5878,
1123
+ "step": 5100
1124
+ },
1125
+ {
1126
+ "epoch": 13.148565903963906,
1127
+ "eval_loss": 1.8241174221038818,
1128
+ "eval_runtime": 13.0743,
1129
+ "eval_samples_per_second": 76.486,
1130
+ "eval_steps_per_second": 2.448,
1131
+ "step": 5100
1132
+ },
1133
+ {
1134
+ "epoch": 13.277473412826296,
1135
+ "grad_norm": 1.024179978710285,
1136
+ "learning_rate": 7.784295411921257e-06,
1137
+ "loss": 1.6007,
1138
+ "step": 5150
1139
+ },
1140
+ {
1141
+ "epoch": 13.406380921688688,
1142
+ "grad_norm": 1.2442840596634375,
1143
+ "learning_rate": 7.744708170564469e-06,
1144
+ "loss": 1.5849,
1145
+ "step": 5200
1146
+ },
1147
+ {
1148
+ "epoch": 13.406380921688688,
1149
+ "eval_loss": 1.825802206993103,
1150
+ "eval_runtime": 13.1159,
1151
+ "eval_samples_per_second": 76.243,
1152
+ "eval_steps_per_second": 2.44,
1153
+ "step": 5200
1154
+ },
1155
+ {
1156
+ "epoch": 13.535288430551079,
1157
+ "grad_norm": 0.8693889427119043,
1158
+ "learning_rate": 7.704888300108685e-06,
1159
+ "loss": 1.5874,
1160
+ "step": 5250
1161
+ },
1162
+ {
1163
+ "epoch": 13.66419593941347,
1164
+ "grad_norm": 0.9676377649082106,
1165
+ "learning_rate": 7.664839927264321e-06,
1166
+ "loss": 1.5921,
1167
+ "step": 5300
1168
+ },
1169
+ {
1170
+ "epoch": 13.66419593941347,
1171
+ "eval_loss": 1.8196028470993042,
1172
+ "eval_runtime": 13.1145,
1173
+ "eval_samples_per_second": 76.251,
1174
+ "eval_steps_per_second": 2.44,
1175
+ "step": 5300
1176
+ },
1177
+ {
1178
+ "epoch": 13.793103448275861,
1179
+ "grad_norm": 0.6741366122265058,
1180
+ "learning_rate": 7.624567202422511e-06,
1181
+ "loss": 1.6057,
1182
+ "step": 5350
1183
+ },
1184
+ {
1185
+ "epoch": 13.922010957138253,
1186
+ "grad_norm": 1.5084627705228644,
1187
+ "learning_rate": 7.584074299224987e-06,
1188
+ "loss": 1.5998,
1189
+ "step": 5400
1190
+ },
1191
+ {
1192
+ "epoch": 13.922010957138253,
1193
+ "eval_loss": 1.811599612236023,
1194
+ "eval_runtime": 13.1086,
1195
+ "eval_samples_per_second": 76.286,
1196
+ "eval_steps_per_second": 2.441,
1197
+ "step": 5400
1198
+ },
1199
+ {
1200
+ "epoch": 14.050918466000645,
1201
+ "grad_norm": 0.8148594444230733,
1202
+ "learning_rate": 7.54336541413154e-06,
1203
+ "loss": 1.5786,
1204
+ "step": 5450
1205
+ },
1206
+ {
1207
+ "epoch": 14.179825974863036,
1208
+ "grad_norm": 0.8325328348802723,
1209
+ "learning_rate": 7.50244476598513e-06,
1210
+ "loss": 1.5453,
1211
+ "step": 5500
1212
+ },
1213
+ {
1214
+ "epoch": 14.179825974863036,
1215
+ "eval_loss": 1.8314226865768433,
1216
+ "eval_runtime": 13.0955,
1217
+ "eval_samples_per_second": 76.362,
1218
+ "eval_steps_per_second": 2.444,
1219
+ "step": 5500
1220
+ },
1221
+ {
1222
+ "epoch": 14.308733483725428,
1223
+ "grad_norm": 0.8986639419383302,
1224
+ "learning_rate": 7.461316595574665e-06,
1225
+ "loss": 1.5666,
1226
+ "step": 5550
1227
+ },
1228
+ {
1229
+ "epoch": 14.437640992587818,
1230
+ "grad_norm": 0.8147864226040537,
1231
+ "learning_rate": 7.419985165195506e-06,
1232
+ "loss": 1.5652,
1233
+ "step": 5600
1234
+ },
1235
+ {
1236
+ "epoch": 14.437640992587818,
1237
+ "eval_loss": 1.8322137594223022,
1238
+ "eval_runtime": 13.1175,
1239
+ "eval_samples_per_second": 76.234,
1240
+ "eval_steps_per_second": 2.439,
1241
+ "step": 5600
1242
+ },
1243
+ {
1244
+ "epoch": 14.56654850145021,
1245
+ "grad_norm": 1.0110608553329041,
1246
+ "learning_rate": 7.378454758207753e-06,
1247
+ "loss": 1.5698,
1248
+ "step": 5650
1249
+ },
1250
+ {
1251
+ "epoch": 14.6954560103126,
1252
+ "grad_norm": 1.2308319616685042,
1253
+ "learning_rate": 7.3367296785923325e-06,
1254
+ "loss": 1.5604,
1255
+ "step": 5700
1256
+ },
1257
+ {
1258
+ "epoch": 14.6954560103126,
1259
+ "eval_loss": 1.827386736869812,
1260
+ "eval_runtime": 13.1201,
1261
+ "eval_samples_per_second": 76.219,
1262
+ "eval_steps_per_second": 2.439,
1263
+ "step": 5700
1264
+ },
1265
+ {
1266
+ "epoch": 14.824363519174993,
1267
+ "grad_norm": 0.83397364350197,
1268
+ "learning_rate": 7.294814250504968e-06,
1269
+ "loss": 1.5719,
1270
+ "step": 5750
1271
+ },
1272
+ {
1273
+ "epoch": 14.953271028037383,
1274
+ "grad_norm": 1.017237046856153,
1275
+ "learning_rate": 7.2527128178280385e-06,
1276
+ "loss": 1.564,
1277
+ "step": 5800
1278
+ },
1279
+ {
1280
+ "epoch": 14.953271028037383,
1281
+ "eval_loss": 1.8239232301712036,
1282
+ "eval_runtime": 13.1213,
1283
+ "eval_samples_per_second": 76.212,
1284
+ "eval_steps_per_second": 2.439,
1285
+ "step": 5800
1286
+ },
1287
+ {
1288
+ "epoch": 15.082178536899775,
1289
+ "grad_norm": 0.8448512325036583,
1290
+ "learning_rate": 7.210429743720406e-06,
1291
+ "loss": 1.5481,
1292
+ "step": 5850
1293
+ },
1294
+ {
1295
+ "epoch": 15.211086045762165,
1296
+ "grad_norm": 0.991851379910471,
1297
+ "learning_rate": 7.1679694101652456e-06,
1298
+ "loss": 1.5169,
1299
+ "step": 5900
1300
+ },
1301
+ {
1302
+ "epoch": 15.211086045762165,
1303
+ "eval_loss": 1.845729947090149,
1304
+ "eval_runtime": 13.1225,
1305
+ "eval_samples_per_second": 76.205,
1306
+ "eval_steps_per_second": 2.439,
1307
+ "step": 5900
1308
+ },
1309
+ {
1310
+ "epoch": 15.339993554624558,
1311
+ "grad_norm": 0.8617346894461302,
1312
+ "learning_rate": 7.125336217515915e-06,
1313
+ "loss": 1.5365,
1314
+ "step": 5950
1315
+ },
1316
+ {
1317
+ "epoch": 15.468901063486948,
1318
+ "grad_norm": 0.8688263857447182,
1319
+ "learning_rate": 7.0825345840399304e-06,
1320
+ "loss": 1.5252,
1321
+ "step": 6000
1322
+ },
1323
+ {
1324
+ "epoch": 15.468901063486948,
1325
+ "eval_loss": 1.839852213859558,
1326
+ "eval_runtime": 13.1128,
1327
+ "eval_samples_per_second": 76.261,
1328
+ "eval_steps_per_second": 2.44,
1329
+ "step": 6000
1330
+ },
1331
+ {
1332
+ "epoch": 15.59780857234934,
1333
+ "grad_norm": 0.8910198236996372,
1334
+ "learning_rate": 7.039568945461083e-06,
1335
+ "loss": 1.5398,
1336
+ "step": 6050
1337
+ },
1338
+ {
1339
+ "epoch": 15.72671608121173,
1340
+ "grad_norm": 0.753788589163205,
1341
+ "learning_rate": 6.996443754499736e-06,
1342
+ "loss": 1.5336,
1343
+ "step": 6100
1344
+ },
1345
+ {
1346
+ "epoch": 15.72671608121173,
1347
+ "eval_loss": 1.8329018354415894,
1348
+ "eval_runtime": 13.1393,
1349
+ "eval_samples_per_second": 76.108,
1350
+ "eval_steps_per_second": 2.435,
1351
+ "step": 6100
1352
+ },
1353
+ {
1354
+ "epoch": 15.855623590074122,
1355
+ "grad_norm": 0.9222068081751881,
1356
+ "learning_rate": 6.953163480411384e-06,
1357
+ "loss": 1.5384,
1358
+ "step": 6150
1359
+ },
1360
+ {
1361
+ "epoch": 15.984531098936513,
1362
+ "grad_norm": 0.8435052416960613,
1363
+ "learning_rate": 6.90973260852347e-06,
1364
+ "loss": 1.5377,
1365
+ "step": 6200
1366
+ },
1367
+ {
1368
+ "epoch": 15.984531098936513,
1369
+ "eval_loss": 1.8316997289657593,
1370
+ "eval_runtime": 13.0918,
1371
+ "eval_samples_per_second": 76.384,
1372
+ "eval_steps_per_second": 2.444,
1373
+ "step": 6200
1374
+ },
1375
+ {
1376
+ "epoch": 16.113438607798905,
1377
+ "grad_norm": 0.8255282547767133,
1378
+ "learning_rate": 6.866155639770564e-06,
1379
+ "loss": 1.4974,
1380
+ "step": 6250
1381
+ },
1382
+ {
1383
+ "epoch": 16.242346116661295,
1384
+ "grad_norm": 1.1202314084000016,
1385
+ "learning_rate": 6.822437090227899e-06,
1386
+ "loss": 1.4917,
1387
+ "step": 6300
1388
+ },
1389
+ {
1390
+ "epoch": 16.242346116661295,
1391
+ "eval_loss": 1.8470591306686401,
1392
+ "eval_runtime": 13.0488,
1393
+ "eval_samples_per_second": 76.635,
1394
+ "eval_steps_per_second": 2.452,
1395
+ "step": 6300
1396
+ },
1397
+ {
1398
+ "epoch": 16.371253625523686,
1399
+ "grad_norm": 1.1067402435986409,
1400
+ "learning_rate": 6.778581490643356e-06,
1401
+ "loss": 1.5019,
1402
+ "step": 6350
1403
+ },
1404
+ {
1405
+ "epoch": 16.50016113438608,
1406
+ "grad_norm": 1.035089975228066,
1407
+ "learning_rate": 6.734593385967922e-06,
1408
+ "loss": 1.4978,
1409
+ "step": 6400
1410
+ },
1411
+ {
1412
+ "epoch": 16.50016113438608,
1413
+ "eval_loss": 1.8545982837677002,
1414
+ "eval_runtime": 13.1275,
1415
+ "eval_samples_per_second": 76.176,
1416
+ "eval_steps_per_second": 2.438,
1417
+ "step": 6400
1418
+ },
1419
+ {
1420
+ "epoch": 16.62906864324847,
1421
+ "grad_norm": 0.9864613573632077,
1422
+ "learning_rate": 6.69047733488468e-06,
1423
+ "loss": 1.5048,
1424
+ "step": 6450
1425
+ },
1426
+ {
1427
+ "epoch": 16.75797615211086,
1428
+ "grad_norm": 0.8011212795960846,
1429
+ "learning_rate": 6.646237909336365e-06,
1430
+ "loss": 1.5136,
1431
+ "step": 6500
1432
+ },
1433
+ {
1434
+ "epoch": 16.75797615211086,
1435
+ "eval_loss": 1.8443132638931274,
1436
+ "eval_runtime": 13.0942,
1437
+ "eval_samples_per_second": 76.37,
1438
+ "eval_steps_per_second": 2.444,
1439
+ "step": 6500
1440
+ },
1441
+ {
1442
+ "epoch": 16.88688366097325,
1443
+ "grad_norm": 0.9081418105592024,
1444
+ "learning_rate": 6.601879694051557e-06,
1445
+ "loss": 1.4962,
1446
+ "step": 6550
1447
+ },
1448
+ {
1449
+ "epoch": 17.015791169835644,
1450
+ "grad_norm": 0.8491749805263702,
1451
+ "learning_rate": 6.557407286069546e-06,
1452
+ "loss": 1.4996,
1453
+ "step": 6600
1454
+ },
1455
+ {
1456
+ "epoch": 17.015791169835644,
1457
+ "eval_loss": 1.8673546314239502,
1458
+ "eval_runtime": 13.0727,
1459
+ "eval_samples_per_second": 76.495,
1460
+ "eval_steps_per_second": 2.448,
1461
+ "step": 6600
1462
+ },
1463
+ {
1464
+ "epoch": 17.144698678698035,
1465
+ "grad_norm": 0.8968797374676718,
1466
+ "learning_rate": 6.51282529426392e-06,
1467
+ "loss": 1.4649,
1468
+ "step": 6650
1469
+ },
1470
+ {
1471
+ "epoch": 17.273606187560425,
1472
+ "grad_norm": 1.061710877549343,
1473
+ "learning_rate": 6.468138338864928e-06,
1474
+ "loss": 1.456,
1475
+ "step": 6700
1476
+ },
1477
+ {
1478
+ "epoch": 17.273606187560425,
1479
+ "eval_loss": 1.869613766670227,
1480
+ "eval_runtime": 13.0951,
1481
+ "eval_samples_per_second": 76.364,
1482
+ "eval_steps_per_second": 2.444,
1483
+ "step": 6700
1484
+ },
1485
+ {
1486
+ "epoch": 17.402513696422815,
1487
+ "grad_norm": 0.863648182900651,
1488
+ "learning_rate": 6.423351050980658e-06,
1489
+ "loss": 1.4674,
1490
+ "step": 6750
1491
+ },
1492
+ {
1493
+ "epoch": 17.53142120528521,
1494
+ "grad_norm": 0.8121866842565606,
1495
+ "learning_rate": 6.378468072117103e-06,
1496
+ "loss": 1.4684,
1497
+ "step": 6800
1498
+ },
1499
+ {
1500
+ "epoch": 17.53142120528521,
1501
+ "eval_loss": 1.8640128374099731,
1502
+ "eval_runtime": 13.1441,
1503
+ "eval_samples_per_second": 76.08,
1504
+ "eval_steps_per_second": 2.435,
1505
+ "step": 6800
1506
+ },
1507
+ {
1508
+ "epoch": 17.6603287141476,
1509
+ "grad_norm": 0.8716441132113181,
1510
+ "learning_rate": 6.333494053697144e-06,
1511
+ "loss": 1.4722,
1512
+ "step": 6850
1513
+ },
1514
+ {
1515
+ "epoch": 17.78923622300999,
1516
+ "grad_norm": 0.9050040917984743,
1517
+ "learning_rate": 6.2884336565784844e-06,
1518
+ "loss": 1.4738,
1519
+ "step": 6900
1520
+ },
1521
+ {
1522
+ "epoch": 17.78923622300999,
1523
+ "eval_loss": 1.8611843585968018,
1524
+ "eval_runtime": 13.1093,
1525
+ "eval_samples_per_second": 76.282,
1526
+ "eval_steps_per_second": 2.441,
1527
+ "step": 6900
1528
+ },
1529
+ {
1530
+ "epoch": 17.91814373187238,
1531
+ "grad_norm": 0.8219195968728913,
1532
+ "learning_rate": 6.243291550570646e-06,
1533
+ "loss": 1.4759,
1534
+ "step": 6950
1535
+ },
1536
+ {
1537
+ "epoch": 18.047051240734774,
1538
+ "grad_norm": 0.8968555498090209,
1539
+ "learning_rate": 6.198072413951003e-06,
1540
+ "loss": 1.4692,
1541
+ "step": 7000
1542
+ },
1543
+ {
1544
+ "epoch": 18.047051240734774,
1545
+ "eval_loss": 1.8846936225891113,
1546
+ "eval_runtime": 13.1006,
1547
+ "eval_samples_per_second": 76.333,
1548
+ "eval_steps_per_second": 2.443,
1549
+ "step": 7000
1550
+ },
1551
+ {
1552
+ "epoch": 18.175958749597164,
1553
+ "grad_norm": 0.8509462053548709,
1554
+ "learning_rate": 6.152780932979958e-06,
1555
+ "loss": 1.4259,
1556
+ "step": 7050
1557
+ },
1558
+ {
1559
+ "epoch": 18.304866258459555,
1560
+ "grad_norm": 0.9076017430691964,
1561
+ "learning_rate": 6.107421801415276e-06,
1562
+ "loss": 1.4358,
1563
+ "step": 7100
1564
+ },
1565
+ {
1566
+ "epoch": 18.304866258459555,
1567
+ "eval_loss": 1.8765053749084473,
1568
+ "eval_runtime": 13.1018,
1569
+ "eval_samples_per_second": 76.325,
1570
+ "eval_steps_per_second": 2.442,
1571
+ "step": 7100
1572
+ },
1573
+ {
1574
+ "epoch": 18.433773767321945,
1575
+ "grad_norm": 0.8562730054432324,
1576
+ "learning_rate": 6.061999720025652e-06,
1577
+ "loss": 1.4462,
1578
+ "step": 7150
1579
+ },
1580
+ {
1581
+ "epoch": 18.56268127618434,
1582
+ "grad_norm": 1.00264838430647,
1583
+ "learning_rate": 6.016519396103563e-06,
1584
+ "loss": 1.4401,
1585
+ "step": 7200
1586
+ },
1587
+ {
1588
+ "epoch": 18.56268127618434,
1589
+ "eval_loss": 1.8765212297439575,
1590
+ "eval_runtime": 13.0984,
1591
+ "eval_samples_per_second": 76.345,
1592
+ "eval_steps_per_second": 2.443,
1593
+ "step": 7200
1594
+ },
1595
+ {
1596
+ "epoch": 18.69158878504673,
1597
+ "grad_norm": 0.8941925235529732,
1598
+ "learning_rate": 5.970985542977409e-06,
1599
+ "loss": 1.4315,
1600
+ "step": 7250
1601
+ },
1602
+ {
1603
+ "epoch": 18.82049629390912,
1604
+ "grad_norm": 0.8718684839162186,
1605
+ "learning_rate": 5.9254028795230615e-06,
1606
+ "loss": 1.4481,
1607
+ "step": 7300
1608
+ },
1609
+ {
1610
+ "epoch": 18.82049629390912,
1611
+ "eval_loss": 1.8752508163452148,
1612
+ "eval_runtime": 13.1037,
1613
+ "eval_samples_per_second": 76.314,
1614
+ "eval_steps_per_second": 2.442,
1615
+ "step": 7300
1616
+ },
1617
+ {
1618
+ "epoch": 18.94940380277151,
1619
+ "grad_norm": 0.9196618410224454,
1620
+ "learning_rate": 5.879776129674822e-06,
1621
+ "loss": 1.4439,
1622
+ "step": 7350
1623
+ },
1624
+ {
1625
+ "epoch": 19.078311311633904,
1626
+ "grad_norm": 0.969183621930605,
1627
+ "learning_rate": 5.834110021935869e-06,
1628
+ "loss": 1.415,
1629
+ "step": 7400
1630
+ },
1631
+ {
1632
+ "epoch": 19.078311311633904,
1633
+ "eval_loss": 1.9027526378631592,
1634
+ "eval_runtime": 13.0881,
1635
+ "eval_samples_per_second": 76.405,
1636
+ "eval_steps_per_second": 2.445,
1637
+ "step": 7400
1638
+ },
1639
+ {
1640
+ "epoch": 19.207218820496294,
1641
+ "grad_norm": 0.8803542605017249,
1642
+ "learning_rate": 5.788409288888208e-06,
1643
+ "loss": 1.4057,
1644
+ "step": 7450
1645
+ },
1646
+ {
1647
+ "epoch": 19.336126329358684,
1648
+ "grad_norm": 0.9889093531070912,
1649
+ "learning_rate": 5.742678666702217e-06,
1650
+ "loss": 1.404,
1651
+ "step": 7500
1652
+ },
1653
+ {
1654
+ "epoch": 19.336126329358684,
1655
+ "eval_loss": 1.8964511156082153,
1656
+ "eval_runtime": 13.1071,
1657
+ "eval_samples_per_second": 76.295,
1658
+ "eval_steps_per_second": 2.441,
1659
+ "step": 7500
1660
+ },
1661
+ {
1662
+ "epoch": 19.465033838221075,
1663
+ "grad_norm": 0.8854902043952496,
1664
+ "learning_rate": 5.6969228946458235e-06,
1665
+ "loss": 1.4087,
1666
+ "step": 7550
1667
+ },
1668
+ {
1669
+ "epoch": 19.59394134708347,
1670
+ "grad_norm": 0.8251240514450762,
1671
+ "learning_rate": 5.651146714593347e-06,
1672
+ "loss": 1.4036,
1673
+ "step": 7600
1674
+ },
1675
+ {
1676
+ "epoch": 19.59394134708347,
1677
+ "eval_loss": 1.8886168003082275,
1678
+ "eval_runtime": 13.093,
1679
+ "eval_samples_per_second": 76.376,
1680
+ "eval_steps_per_second": 2.444,
1681
+ "step": 7600
1682
+ },
1683
+ {
1684
+ "epoch": 19.72284885594586,
1685
+ "grad_norm": 0.8768518320833244,
1686
+ "learning_rate": 5.6053548705340785e-06,
1687
+ "loss": 1.414,
1688
+ "step": 7650
1689
+ },
1690
+ {
1691
+ "epoch": 19.85175636480825,
1692
+ "grad_norm": 1.1878402098476228,
1693
+ "learning_rate": 5.5595521080806354e-06,
1694
+ "loss": 1.4162,
1695
+ "step": 7700
1696
+ },
1697
+ {
1698
+ "epoch": 19.85175636480825,
1699
+ "eval_loss": 1.888206124305725,
1700
+ "eval_runtime": 13.0782,
1701
+ "eval_samples_per_second": 76.463,
1702
+ "eval_steps_per_second": 2.447,
1703
+ "step": 7700
1704
+ },
1705
+ {
1706
+ "epoch": 19.98066387367064,
1707
+ "grad_norm": 0.9206061338674242,
1708
+ "learning_rate": 5.513743173977166e-06,
1709
+ "loss": 1.4041,
1710
+ "step": 7750
1711
+ },
1712
+ {
1713
+ "epoch": 20.109571382533034,
1714
+ "grad_norm": 0.9268495722130361,
1715
+ "learning_rate": 5.467932815607406e-06,
1716
+ "loss": 1.3821,
1717
+ "step": 7800
1718
+ },
1719
+ {
1720
+ "epoch": 20.109571382533034,
1721
+ "eval_loss": 1.914821743965149,
1722
+ "eval_runtime": 13.0782,
1723
+ "eval_samples_per_second": 76.463,
1724
+ "eval_steps_per_second": 2.447,
1725
+ "step": 7800
1726
+ },
1727
+ {
1728
+ "epoch": 20.238478891395424,
1729
+ "grad_norm": 0.9314251280928757,
1730
+ "learning_rate": 5.422125780502695e-06,
1731
+ "loss": 1.3625,
1732
+ "step": 7850
1733
+ },
1734
+ {
1735
+ "epoch": 20.367386400257814,
1736
+ "grad_norm": 0.9834206690356971,
1737
+ "learning_rate": 5.376326815849974e-06,
1738
+ "loss": 1.3844,
1739
+ "step": 7900
1740
+ },
1741
+ {
1742
+ "epoch": 20.367386400257814,
1743
+ "eval_loss": 1.9019452333450317,
1744
+ "eval_runtime": 13.0804,
1745
+ "eval_samples_per_second": 76.45,
1746
+ "eval_steps_per_second": 2.446,
1747
+ "step": 7900
1748
+ },
1749
+ {
1750
+ "epoch": 20.496293909120205,
1751
+ "grad_norm": 0.9202380609406811,
1752
+ "learning_rate": 5.3305406679998e-06,
1753
+ "loss": 1.3735,
1754
+ "step": 7950
1755
+ },
1756
+ {
1757
+ "epoch": 20.6252014179826,
1758
+ "grad_norm": 0.9293412489906648,
1759
+ "learning_rate": 5.284772081974469e-06,
1760
+ "loss": 1.3809,
1761
+ "step": 8000
1762
+ },
1763
+ {
1764
+ "epoch": 20.6252014179826,
1765
+ "eval_loss": 1.9029994010925293,
1766
+ "eval_runtime": 13.0929,
1767
+ "eval_samples_per_second": 76.377,
1768
+ "eval_steps_per_second": 2.444,
1769
+ "step": 8000
1770
+ },
1771
+ {
1772
+ "epoch": 20.75410892684499,
1773
+ "grad_norm": 0.9753566867301083,
1774
+ "learning_rate": 5.239025800976272e-06,
1775
+ "loss": 1.3836,
1776
+ "step": 8050
1777
+ },
1778
+ {
1779
+ "epoch": 20.88301643570738,
1780
+ "grad_norm": 0.8866530024802765,
1781
+ "learning_rate": 5.193306565895924e-06,
1782
+ "loss": 1.3822,
1783
+ "step": 8100
1784
+ },
1785
+ {
1786
+ "epoch": 20.88301643570738,
1787
+ "eval_loss": 1.903949499130249,
1788
+ "eval_runtime": 13.0896,
1789
+ "eval_samples_per_second": 76.396,
1790
+ "eval_steps_per_second": 2.445,
1791
+ "step": 8100
1792
+ },
1793
+ {
1794
+ "epoch": 21.01192394456977,
1795
+ "grad_norm": 0.9726372975664542,
1796
+ "learning_rate": 5.147619114821259e-06,
1797
+ "loss": 1.3785,
1798
+ "step": 8150
1799
+ },
1800
+ {
1801
+ "epoch": 21.140831453432163,
1802
+ "grad_norm": 0.969333565402859,
1803
+ "learning_rate": 5.101968182546183e-06,
1804
+ "loss": 1.325,
1805
+ "step": 8200
1806
+ },
1807
+ {
1808
+ "epoch": 21.140831453432163,
1809
+ "eval_loss": 1.9317421913146973,
1810
+ "eval_runtime": 13.0676,
1811
+ "eval_samples_per_second": 76.525,
1812
+ "eval_steps_per_second": 2.449,
1813
+ "step": 8200
1814
+ },
1815
+ {
1816
+ "epoch": 21.269738962294554,
1817
+ "grad_norm": 1.0018247476403936,
1818
+ "learning_rate": 5.056358500080005e-06,
1819
+ "loss": 1.3488,
1820
+ "step": 8250
1821
+ },
1822
+ {
1823
+ "epoch": 21.398646471156944,
1824
+ "grad_norm": 1.0273151845889739,
1825
+ "learning_rate": 5.01079479415713e-06,
1826
+ "loss": 1.3545,
1827
+ "step": 8300
1828
+ },
1829
+ {
1830
+ "epoch": 21.398646471156944,
1831
+ "eval_loss": 1.9243229627609253,
1832
+ "eval_runtime": 13.0555,
1833
+ "eval_samples_per_second": 76.596,
1834
+ "eval_steps_per_second": 2.451,
1835
+ "step": 8300
1836
+ },
1837
+ {
1838
+ "epoch": 21.527553980019338,
1839
+ "grad_norm": 1.0068942448714413,
1840
+ "learning_rate": 4.965281786747206e-06,
1841
+ "loss": 1.3453,
1842
+ "step": 8350
1843
+ },
1844
+ {
1845
+ "epoch": 21.656461488881728,
1846
+ "grad_norm": 1.0092558633834159,
1847
+ "learning_rate": 4.919824194565772e-06,
1848
+ "loss": 1.3555,
1849
+ "step": 8400
1850
+ },
1851
+ {
1852
+ "epoch": 21.656461488881728,
1853
+ "eval_loss": 1.92406165599823,
1854
+ "eval_runtime": 13.0853,
1855
+ "eval_samples_per_second": 76.421,
1856
+ "eval_steps_per_second": 2.445,
1857
+ "step": 8400
1858
+ },
1859
+ {
1860
+ "epoch": 21.78536899774412,
1861
+ "grad_norm": 0.931003138871065,
1862
+ "learning_rate": 4.874426728585441e-06,
1863
+ "loss": 1.3555,
1864
+ "step": 8450
1865
+ },
1866
+ {
1867
+ "epoch": 21.91427650660651,
1868
+ "grad_norm": 1.0891403408294589,
1869
+ "learning_rate": 4.829094093547675e-06,
1870
+ "loss": 1.3602,
1871
+ "step": 8500
1872
+ },
1873
+ {
1874
+ "epoch": 21.91427650660651,
1875
+ "eval_loss": 1.9252684116363525,
1876
+ "eval_runtime": 13.1173,
1877
+ "eval_samples_per_second": 76.235,
1878
+ "eval_steps_per_second": 2.44,
1879
+ "step": 8500
1880
+ },
1881
+ {
1882
+ "epoch": 22.043184015468903,
1883
+ "grad_norm": 0.9323719235909985,
1884
+ "learning_rate": 4.783830987475222e-06,
1885
+ "loss": 1.3323,
1886
+ "step": 8550
1887
+ },
1888
+ {
1889
+ "epoch": 22.172091524331293,
1890
+ "grad_norm": 0.8826162549660432,
1891
+ "learning_rate": 4.738642101185233e-06,
1892
+ "loss": 1.3111,
1893
+ "step": 8600
1894
+ },
1895
+ {
1896
+ "epoch": 22.172091524331293,
1897
+ "eval_loss": 1.9436485767364502,
1898
+ "eval_runtime": 13.1531,
1899
+ "eval_samples_per_second": 76.028,
1900
+ "eval_steps_per_second": 2.433,
1901
+ "step": 8600
1902
+ },
1903
+ {
1904
+ "epoch": 22.300999033193683,
1905
+ "grad_norm": 0.9200841876984523,
1906
+ "learning_rate": 4.693532117803132e-06,
1907
+ "loss": 1.3178,
1908
+ "step": 8650
1909
+ },
1910
+ {
1911
+ "epoch": 22.429906542056074,
1912
+ "grad_norm": 0.9745911696371388,
1913
+ "learning_rate": 4.6485057122772805e-06,
1914
+ "loss": 1.3197,
1915
+ "step": 8700
1916
+ },
1917
+ {
1918
+ "epoch": 22.429906542056074,
1919
+ "eval_loss": 1.9434880018234253,
1920
+ "eval_runtime": 13.1159,
1921
+ "eval_samples_per_second": 76.243,
1922
+ "eval_steps_per_second": 2.44,
1923
+ "step": 8700
1924
+ },
1925
+ {
1926
+ "epoch": 22.558814050918468,
1927
+ "grad_norm": 0.862894149089388,
1928
+ "learning_rate": 4.603567550894498e-06,
1929
+ "loss": 1.3205,
1930
+ "step": 8750
1931
+ },
1932
+ {
1933
+ "epoch": 22.687721559780858,
1934
+ "grad_norm": 0.9539742124873194,
1935
+ "learning_rate": 4.55872229079647e-06,
1936
+ "loss": 1.3258,
1937
+ "step": 8800
1938
+ },
1939
+ {
1940
+ "epoch": 22.687721559780858,
1941
+ "eval_loss": 1.9418025016784668,
1942
+ "eval_runtime": 13.0964,
1943
+ "eval_samples_per_second": 76.357,
1944
+ "eval_steps_per_second": 2.443,
1945
+ "step": 8800
1946
+ },
1947
+ {
1948
+ "epoch": 22.81662906864325,
1949
+ "grad_norm": 1.0172726102103276,
1950
+ "learning_rate": 4.5139745794971115e-06,
1951
+ "loss": 1.3329,
1952
+ "step": 8850
1953
+ },
1954
+ {
1955
+ "epoch": 22.94553657750564,
1956
+ "grad_norm": 0.9946774880853376,
1957
+ "learning_rate": 4.4693290544009145e-06,
1958
+ "loss": 1.3209,
1959
+ "step": 8900
1960
+ },
1961
+ {
1962
+ "epoch": 22.94553657750564,
1963
+ "eval_loss": 1.944537878036499,
1964
+ "eval_runtime": 13.1073,
1965
+ "eval_samples_per_second": 76.293,
1966
+ "eval_steps_per_second": 2.441,
1967
+ "step": 8900
1968
+ },
1969
+ {
1970
+ "epoch": 23.074444086368032,
1971
+ "grad_norm": 0.9342497882602313,
1972
+ "learning_rate": 4.424790342322366e-06,
1973
+ "loss": 1.3101,
1974
+ "step": 8950
1975
+ },
1976
+ {
1977
+ "epoch": 23.203351595230423,
1978
+ "grad_norm": 0.9570395460471595,
1979
+ "learning_rate": 4.38036305900644e-06,
1980
+ "loss": 1.2807,
1981
+ "step": 9000
1982
+ },
1983
+ {
1984
+ "epoch": 23.203351595230423,
1985
+ "eval_loss": 1.9658195972442627,
1986
+ "eval_runtime": 13.0916,
1987
+ "eval_samples_per_second": 76.385,
1988
+ "eval_steps_per_second": 2.444,
1989
+ "step": 9000
1990
+ },
1991
+ {
1992
+ "epoch": 23.332259104092813,
1993
+ "grad_norm": 0.9991336418494027,
1994
+ "learning_rate": 4.3360518086502566e-06,
1995
+ "loss": 1.2953,
1996
+ "step": 9050
1997
+ },
1998
+ {
1999
+ "epoch": 23.461166612955203,
2000
+ "grad_norm": 0.916222178043926,
2001
+ "learning_rate": 4.291861183425919e-06,
2002
+ "loss": 1.2917,
2003
+ "step": 9100
2004
+ },
2005
+ {
2006
+ "epoch": 23.461166612955203,
2007
+ "eval_loss": 1.9641984701156616,
2008
+ "eval_runtime": 13.1129,
2009
+ "eval_samples_per_second": 76.261,
2010
+ "eval_steps_per_second": 2.44,
2011
+ "step": 9100
2012
+ },
2013
+ {
2014
+ "epoch": 23.590074121817597,
2015
+ "grad_norm": 1.0077304129447495,
2016
+ "learning_rate": 4.247795763004613e-06,
2017
+ "loss": 1.3071,
2018
+ "step": 9150
2019
+ },
2020
+ {
2021
+ "epoch": 23.718981630679988,
2022
+ "grad_norm": 0.9446614585821917,
2023
+ "learning_rate": 4.203860114081997e-06,
2024
+ "loss": 1.3,
2025
+ "step": 9200
2026
+ },
2027
+ {
2028
+ "epoch": 23.718981630679988,
2029
+ "eval_loss": 1.958524227142334,
2030
+ "eval_runtime": 13.1007,
2031
+ "eval_samples_per_second": 76.332,
2032
+ "eval_steps_per_second": 2.443,
2033
+ "step": 9200
2034
+ },
2035
+ {
2036
+ "epoch": 23.847889139542378,
2037
+ "grad_norm": 0.8972480603630929,
2038
+ "learning_rate": 4.160058789904926e-06,
2039
+ "loss": 1.2999,
2040
+ "step": 9250
2041
+ },
2042
+ {
2043
+ "epoch": 23.97679664840477,
2044
+ "grad_norm": 0.9242936332045296,
2045
+ "learning_rate": 4.116396329799583e-06,
2046
+ "loss": 1.2949,
2047
+ "step": 9300
2048
+ },
2049
+ {
2050
+ "epoch": 23.97679664840477,
2051
+ "eval_loss": 1.9560185670852661,
2052
+ "eval_runtime": 13.1041,
2053
+ "eval_samples_per_second": 76.312,
2054
+ "eval_steps_per_second": 2.442,
2055
+ "step": 9300
2056
+ },
2057
+ {
2058
+ "epoch": 24.105704157267162,
2059
+ "grad_norm": 0.9674960039217576,
2060
+ "learning_rate": 4.072877258701057e-06,
2061
+ "loss": 1.2568,
2062
+ "step": 9350
2063
+ },
2064
+ {
2065
+ "epoch": 24.234611666129553,
2066
+ "grad_norm": 0.9794836844971112,
2067
+ "learning_rate": 4.029506086684389e-06,
2068
+ "loss": 1.2587,
2069
+ "step": 9400
2070
+ },
2071
+ {
2072
+ "epoch": 24.234611666129553,
2073
+ "eval_loss": 1.9843717813491821,
2074
+ "eval_runtime": 13.0744,
2075
+ "eval_samples_per_second": 76.485,
2076
+ "eval_steps_per_second": 2.448,
2077
+ "step": 9400
2078
+ },
2079
+ {
2080
+ "epoch": 24.363519174991943,
2081
+ "grad_norm": 0.9223419011844489,
2082
+ "learning_rate": 3.986287308497179e-06,
2083
+ "loss": 1.2742,
2084
+ "step": 9450
2085
+ },
2086
+ {
2087
+ "epoch": 24.492426683854333,
2088
+ "grad_norm": 0.96748522870572,
2089
+ "learning_rate": 3.9432254030937815e-06,
2090
+ "loss": 1.2679,
2091
+ "step": 9500
2092
+ },
2093
+ {
2094
+ "epoch": 24.492426683854333,
2095
+ "eval_loss": 1.9786683320999146,
2096
+ "eval_runtime": 13.0884,
2097
+ "eval_samples_per_second": 76.403,
2098
+ "eval_steps_per_second": 2.445,
2099
+ "step": 9500
2100
+ },
2101
+ {
2102
+ "epoch": 24.621334192716727,
2103
+ "grad_norm": 1.0303569724695283,
2104
+ "learning_rate": 3.900324833171126e-06,
2105
+ "loss": 1.2701,
2106
+ "step": 9550
2107
+ },
2108
+ {
2109
+ "epoch": 24.750241701579117,
2110
+ "grad_norm": 0.8579096479645087,
2111
+ "learning_rate": 3.857590044706222e-06,
2112
+ "loss": 1.2724,
2113
+ "step": 9600
2114
+ },
2115
+ {
2116
+ "epoch": 24.750241701579117,
2117
+ "eval_loss": 1.9690388441085815,
2118
+ "eval_runtime": 13.1041,
2119
+ "eval_samples_per_second": 76.312,
2120
+ "eval_steps_per_second": 2.442,
2121
+ "step": 9600
2122
+ },
2123
+ {
2124
+ "epoch": 24.879149210441508,
2125
+ "grad_norm": 0.8797903153691163,
2126
+ "learning_rate": 3.815025466495415e-06,
2127
+ "loss": 1.2827,
2128
+ "step": 9650
2129
+ },
2130
+ {
2131
+ "epoch": 25.008056719303898,
2132
+ "grad_norm": 0.950448504472454,
2133
+ "learning_rate": 3.7726355096953963e-06,
2134
+ "loss": 1.2787,
2135
+ "step": 9700
2136
+ },
2137
+ {
2138
+ "epoch": 25.008056719303898,
2139
+ "eval_loss": 1.9883798360824585,
2140
+ "eval_runtime": 13.1108,
2141
+ "eval_samples_per_second": 76.273,
2142
+ "eval_steps_per_second": 2.441,
2143
+ "step": 9700
2144
+ },
2145
+ {
2146
+ "epoch": 25.136964228166292,
2147
+ "grad_norm": 0.9817227937169872,
2148
+ "learning_rate": 3.7304245673660743e-06,
2149
+ "loss": 1.242,
2150
+ "step": 9750
2151
+ },
2152
+ {
2153
+ "epoch": 25.265871737028682,
2154
+ "grad_norm": 0.957820181913102,
2155
+ "learning_rate": 3.688397014015284e-06,
2156
+ "loss": 1.2397,
2157
+ "step": 9800
2158
+ },
2159
+ {
2160
+ "epoch": 25.265871737028682,
2161
+ "eval_loss": 1.9948914051055908,
2162
+ "eval_runtime": 13.0585,
2163
+ "eval_samples_per_second": 76.578,
2164
+ "eval_steps_per_second": 2.451,
2165
+ "step": 9800
2166
+ },
2167
+ {
2168
+ "epoch": 25.394779245891073,
2169
+ "grad_norm": 0.8829344035275392,
2170
+ "learning_rate": 3.646557205145441e-06,
2171
+ "loss": 1.2407,
2172
+ "step": 9850
2173
+ },
2174
+ {
2175
+ "epoch": 25.523686754753463,
2176
+ "grad_norm": 0.9532832849261974,
2177
+ "learning_rate": 3.6049094768021737e-06,
2178
+ "loss": 1.2397,
2179
+ "step": 9900
2180
+ },
2181
+ {
2182
+ "epoch": 25.523686754753463,
2183
+ "eval_loss": 1.9924293756484985,
2184
+ "eval_runtime": 13.0861,
2185
+ "eval_samples_per_second": 76.417,
2186
+ "eval_steps_per_second": 2.445,
2187
+ "step": 9900
2188
+ },
2189
+ {
2190
+ "epoch": 25.652594263615857,
2191
+ "grad_norm": 1.0316869432867586,
2192
+ "learning_rate": 3.563458145124946e-06,
2193
+ "loss": 1.2415,
2194
+ "step": 9950
2195
+ },
2196
+ {
2197
+ "epoch": 25.781501772478247,
2198
+ "grad_norm": 0.9148479062234942,
2199
+ "learning_rate": 3.5222075058997586e-06,
2200
+ "loss": 1.2571,
2201
+ "step": 10000
2202
+ },
2203
+ {
2204
+ "epoch": 25.781501772478247,
2205
+ "eval_loss": 1.9885200262069702,
2206
+ "eval_runtime": 13.0777,
2207
+ "eval_samples_per_second": 76.466,
2208
+ "eval_steps_per_second": 2.447,
2209
+ "step": 10000
2210
+ },
2211
+ {
2212
+ "epoch": 25.910409281340637,
2213
+ "grad_norm": 0.989909880373721,
2214
+ "learning_rate": 3.4811618341139607e-06,
2215
+ "loss": 1.2548,
2216
+ "step": 10050
2217
+ },
2218
+ {
2219
+ "epoch": 26.039316790203028,
2220
+ "grad_norm": 0.9254928814959481,
2221
+ "learning_rate": 3.440325383513222e-06,
2222
+ "loss": 1.2401,
2223
+ "step": 10100
2224
+ },
2225
+ {
2226
+ "epoch": 26.039316790203028,
2227
+ "eval_loss": 2.008866548538208,
2228
+ "eval_runtime": 13.1201,
2229
+ "eval_samples_per_second": 76.219,
2230
+ "eval_steps_per_second": 2.439,
2231
+ "step": 10100
2232
+ },
2233
+ {
2234
+ "epoch": 26.16822429906542,
2235
+ "grad_norm": 0.9538791323737987,
2236
+ "learning_rate": 3.399702386160677e-06,
2237
+ "loss": 1.2149,
2238
+ "step": 10150
2239
+ },
2240
+ {
2241
+ "epoch": 26.297131807927812,
2242
+ "grad_norm": 0.9820381682213379,
2243
+ "learning_rate": 3.359297051998357e-06,
2244
+ "loss": 1.2251,
2245
+ "step": 10200
2246
+ },
2247
+ {
2248
+ "epoch": 26.297131807927812,
2249
+ "eval_loss": 2.0109643936157227,
2250
+ "eval_runtime": 13.0702,
2251
+ "eval_samples_per_second": 76.51,
2252
+ "eval_steps_per_second": 2.448,
2253
+ "step": 10200
2254
+ },
2255
+ {
2256
+ "epoch": 26.426039316790202,
2257
+ "grad_norm": 0.9463668104733616,
2258
+ "learning_rate": 3.3191135684108883e-06,
2259
+ "loss": 1.2283,
2260
+ "step": 10250
2261
+ },
2262
+ {
2263
+ "epoch": 26.554946825652593,
2264
+ "grad_norm": 0.9555679933876804,
2265
+ "learning_rate": 3.2791560997915302e-06,
2266
+ "loss": 1.2218,
2267
+ "step": 10300
2268
+ },
2269
+ {
2270
+ "epoch": 26.554946825652593,
2271
+ "eval_loss": 2.0088446140289307,
2272
+ "eval_runtime": 13.1133,
2273
+ "eval_samples_per_second": 76.258,
2274
+ "eval_steps_per_second": 2.44,
2275
+ "step": 10300
2276
+ },
2277
+ {
2278
+ "epoch": 26.683854334514987,
2279
+ "grad_norm": 0.9348109755451217,
2280
+ "learning_rate": 3.239428787110614e-06,
2281
+ "loss": 1.2261,
2282
+ "step": 10350
2283
+ },
2284
+ {
2285
+ "epoch": 26.812761843377377,
2286
+ "grad_norm": 0.9260766509903121,
2287
+ "learning_rate": 3.199935747486375e-06,
2288
+ "loss": 1.221,
2289
+ "step": 10400
2290
+ },
2291
+ {
2292
+ "epoch": 26.812761843377377,
2293
+ "eval_loss": 2.006683111190796,
2294
+ "eval_runtime": 13.0903,
2295
+ "eval_samples_per_second": 76.392,
2296
+ "eval_steps_per_second": 2.445,
2297
+ "step": 10400
2298
+ }
2299
+ ],
2300
+ "logging_steps": 50,
2301
+ "max_steps": 15480,
2302
+ "num_input_tokens_seen": 0,
2303
+ "num_train_epochs": 40,
2304
+ "save_steps": 800,
2305
+ "stateful_callbacks": {
2306
+ "TrainerControl": {
2307
+ "args": {
2308
+ "should_epoch_stop": false,
2309
+ "should_evaluate": false,
2310
+ "should_log": false,
2311
+ "should_save": true,
2312
+ "should_training_stop": false
2313
+ },
2314
+ "attributes": {}
2315
+ }
2316
+ },
2317
+ "total_flos": 9248443004354560.0,
2318
+ "train_batch_size": 4,
2319
+ "trial_name": null,
2320
+ "trial_params": null
2321
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1dfe8031c80d80fb4906d4c6c8da6797968a220a0172c60f31b1183e6e209c1c
3
+ size 7224