bilbo991 commited on
Commit
fb01ed0
·
1 Parent(s): b8ee8b0

End of training

Browse files
all_results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_loss": 1.1062601804733276,
4
+ "eval_runtime": 1171.1449,
5
+ "eval_samples_per_second": 102.464,
6
+ "eval_steps_per_second": 3.202,
7
+ "train_loss": 1.3104234486712831,
8
+ "train_runtime": 131784.1208,
9
+ "train_samples_per_second": 50.082,
10
+ "train_steps_per_second": 1.565
11
+ }
eval_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_loss": 1.1062601804733276,
4
+ "eval_runtime": 1171.1449,
5
+ "eval_samples_per_second": 102.464,
6
+ "eval_steps_per_second": 3.202
7
+ }
preprocessor_config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "crop_size": {
3
+ "height": 224,
4
+ "width": 224
5
+ },
6
+ "do_center_crop": true,
7
+ "do_convert_rgb": true,
8
+ "do_normalize": true,
9
+ "do_rescale": true,
10
+ "do_resize": true,
11
+ "image_mean": [
12
+ 0.48145466,
13
+ 0.4578275,
14
+ 0.40821073
15
+ ],
16
+ "image_processor_type": "CLIPImageProcessor",
17
+ "image_std": [
18
+ 0.26862954,
19
+ 0.26130258,
20
+ 0.27577711
21
+ ],
22
+ "processor_class": "VisionTextDualEncoderProcessor",
23
+ "resample": 3,
24
+ "rescale_factor": 0.00392156862745098,
25
+ "size": {
26
+ "shortest_edge": 224
27
+ }
28
+ }
runs/Aug17_12-43-02_cvrl-flynn-ws2/events.out.tfevents.1692423586.cvrl-flynn-ws2.5272.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e52feb9e17aec6cbdfd48dead7a41f17aafc4d7ec22e91a63251e5302308cff6
3
+ size 364
special_tokens_map.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "cls_token": "[CLS]",
3
+ "mask_token": "[MASK]",
4
+ "pad_token": "[PAD]",
5
+ "sep_token": "[SEP]",
6
+ "unk_token": "[UNK]"
7
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "clean_up_tokenization_spaces": true,
3
+ "cls_token": "[CLS]",
4
+ "do_basic_tokenize": true,
5
+ "do_lower_case": false,
6
+ "full_tokenizer_file": null,
7
+ "mask_token": "[MASK]",
8
+ "max_len": 512,
9
+ "model_max_length": 512,
10
+ "never_split": null,
11
+ "pad_token": "[PAD]",
12
+ "processor_class": "VisionTextDualEncoderProcessor",
13
+ "sep_token": "[SEP]",
14
+ "strip_accents": null,
15
+ "tokenize_chinese_chars": true,
16
+ "tokenizer_class": "DistilBertTokenizer",
17
+ "unk_token": "[UNK]"
18
+ }
train_results.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "train_loss": 1.3104234486712831,
4
+ "train_runtime": 131784.1208,
5
+ "train_samples_per_second": 50.082,
6
+ "train_steps_per_second": 1.565
7
+ }
trainer_state.json ADDED
@@ -0,0 +1,2521 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.1062601804733276,
3
+ "best_model_checkpoint": "clip-mixer-big/checkpoint-206250",
4
+ "epoch": 3.0,
5
+ "global_step": 206250,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.01,
12
+ "learning_rate": 4.987878787878788e-05,
13
+ "loss": 3.2436,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 0.01,
18
+ "learning_rate": 4.9757575757575756e-05,
19
+ "loss": 2.9607,
20
+ "step": 1000
21
+ },
22
+ {
23
+ "epoch": 0.02,
24
+ "learning_rate": 4.963636363636364e-05,
25
+ "loss": 2.8062,
26
+ "step": 1500
27
+ },
28
+ {
29
+ "epoch": 0.03,
30
+ "learning_rate": 4.951515151515152e-05,
31
+ "loss": 2.7162,
32
+ "step": 2000
33
+ },
34
+ {
35
+ "epoch": 0.04,
36
+ "learning_rate": 4.93939393939394e-05,
37
+ "loss": 2.6372,
38
+ "step": 2500
39
+ },
40
+ {
41
+ "epoch": 0.04,
42
+ "learning_rate": 4.9272727272727276e-05,
43
+ "loss": 2.6116,
44
+ "step": 3000
45
+ },
46
+ {
47
+ "epoch": 0.05,
48
+ "learning_rate": 4.915151515151515e-05,
49
+ "loss": 2.5324,
50
+ "step": 3500
51
+ },
52
+ {
53
+ "epoch": 0.06,
54
+ "learning_rate": 4.903030303030303e-05,
55
+ "loss": 2.5136,
56
+ "step": 4000
57
+ },
58
+ {
59
+ "epoch": 0.07,
60
+ "learning_rate": 4.890909090909091e-05,
61
+ "loss": 2.4633,
62
+ "step": 4500
63
+ },
64
+ {
65
+ "epoch": 0.07,
66
+ "learning_rate": 4.878787878787879e-05,
67
+ "loss": 2.4195,
68
+ "step": 5000
69
+ },
70
+ {
71
+ "epoch": 0.08,
72
+ "learning_rate": 4.866666666666667e-05,
73
+ "loss": 2.3985,
74
+ "step": 5500
75
+ },
76
+ {
77
+ "epoch": 0.09,
78
+ "learning_rate": 4.854545454545455e-05,
79
+ "loss": 2.3739,
80
+ "step": 6000
81
+ },
82
+ {
83
+ "epoch": 0.09,
84
+ "learning_rate": 4.8424242424242426e-05,
85
+ "loss": 2.3513,
86
+ "step": 6500
87
+ },
88
+ {
89
+ "epoch": 0.1,
90
+ "learning_rate": 4.83030303030303e-05,
91
+ "loss": 2.3144,
92
+ "step": 7000
93
+ },
94
+ {
95
+ "epoch": 0.11,
96
+ "learning_rate": 4.8181818181818186e-05,
97
+ "loss": 2.3057,
98
+ "step": 7500
99
+ },
100
+ {
101
+ "epoch": 0.12,
102
+ "learning_rate": 4.806060606060606e-05,
103
+ "loss": 2.2837,
104
+ "step": 8000
105
+ },
106
+ {
107
+ "epoch": 0.12,
108
+ "learning_rate": 4.793939393939394e-05,
109
+ "loss": 2.2605,
110
+ "step": 8500
111
+ },
112
+ {
113
+ "epoch": 0.13,
114
+ "learning_rate": 4.781818181818182e-05,
115
+ "loss": 2.219,
116
+ "step": 9000
117
+ },
118
+ {
119
+ "epoch": 0.14,
120
+ "learning_rate": 4.76969696969697e-05,
121
+ "loss": 2.2163,
122
+ "step": 9500
123
+ },
124
+ {
125
+ "epoch": 0.15,
126
+ "learning_rate": 4.7575757575757576e-05,
127
+ "loss": 2.2109,
128
+ "step": 10000
129
+ },
130
+ {
131
+ "epoch": 0.15,
132
+ "learning_rate": 4.745454545454546e-05,
133
+ "loss": 2.1885,
134
+ "step": 10500
135
+ },
136
+ {
137
+ "epoch": 0.16,
138
+ "learning_rate": 4.7333333333333336e-05,
139
+ "loss": 2.1425,
140
+ "step": 11000
141
+ },
142
+ {
143
+ "epoch": 0.17,
144
+ "learning_rate": 4.721212121212121e-05,
145
+ "loss": 2.144,
146
+ "step": 11500
147
+ },
148
+ {
149
+ "epoch": 0.17,
150
+ "learning_rate": 4.709090909090909e-05,
151
+ "loss": 2.1339,
152
+ "step": 12000
153
+ },
154
+ {
155
+ "epoch": 0.18,
156
+ "learning_rate": 4.696969696969697e-05,
157
+ "loss": 2.1126,
158
+ "step": 12500
159
+ },
160
+ {
161
+ "epoch": 0.19,
162
+ "learning_rate": 4.684848484848485e-05,
163
+ "loss": 2.1071,
164
+ "step": 13000
165
+ },
166
+ {
167
+ "epoch": 0.2,
168
+ "learning_rate": 4.672727272727273e-05,
169
+ "loss": 2.1063,
170
+ "step": 13500
171
+ },
172
+ {
173
+ "epoch": 0.2,
174
+ "learning_rate": 4.660606060606061e-05,
175
+ "loss": 2.0812,
176
+ "step": 14000
177
+ },
178
+ {
179
+ "epoch": 0.21,
180
+ "learning_rate": 4.6484848484848487e-05,
181
+ "loss": 2.0689,
182
+ "step": 14500
183
+ },
184
+ {
185
+ "epoch": 0.22,
186
+ "learning_rate": 4.636363636363636e-05,
187
+ "loss": 2.0429,
188
+ "step": 15000
189
+ },
190
+ {
191
+ "epoch": 0.23,
192
+ "learning_rate": 4.624242424242424e-05,
193
+ "loss": 2.065,
194
+ "step": 15500
195
+ },
196
+ {
197
+ "epoch": 0.23,
198
+ "learning_rate": 4.612121212121212e-05,
199
+ "loss": 2.04,
200
+ "step": 16000
201
+ },
202
+ {
203
+ "epoch": 0.24,
204
+ "learning_rate": 4.600000000000001e-05,
205
+ "loss": 2.0448,
206
+ "step": 16500
207
+ },
208
+ {
209
+ "epoch": 0.25,
210
+ "learning_rate": 4.5878787878787883e-05,
211
+ "loss": 2.0126,
212
+ "step": 17000
213
+ },
214
+ {
215
+ "epoch": 0.25,
216
+ "learning_rate": 4.575757575757576e-05,
217
+ "loss": 2.0247,
218
+ "step": 17500
219
+ },
220
+ {
221
+ "epoch": 0.26,
222
+ "learning_rate": 4.563636363636364e-05,
223
+ "loss": 1.9993,
224
+ "step": 18000
225
+ },
226
+ {
227
+ "epoch": 0.27,
228
+ "learning_rate": 4.5515151515151513e-05,
229
+ "loss": 1.9819,
230
+ "step": 18500
231
+ },
232
+ {
233
+ "epoch": 0.28,
234
+ "learning_rate": 4.53939393939394e-05,
235
+ "loss": 1.9814,
236
+ "step": 19000
237
+ },
238
+ {
239
+ "epoch": 0.28,
240
+ "learning_rate": 4.5272727272727274e-05,
241
+ "loss": 1.9708,
242
+ "step": 19500
243
+ },
244
+ {
245
+ "epoch": 0.29,
246
+ "learning_rate": 4.515151515151516e-05,
247
+ "loss": 1.978,
248
+ "step": 20000
249
+ },
250
+ {
251
+ "epoch": 0.3,
252
+ "learning_rate": 4.5030303030303034e-05,
253
+ "loss": 1.9544,
254
+ "step": 20500
255
+ },
256
+ {
257
+ "epoch": 0.31,
258
+ "learning_rate": 4.490909090909091e-05,
259
+ "loss": 1.9555,
260
+ "step": 21000
261
+ },
262
+ {
263
+ "epoch": 0.31,
264
+ "learning_rate": 4.478787878787879e-05,
265
+ "loss": 1.9297,
266
+ "step": 21500
267
+ },
268
+ {
269
+ "epoch": 0.32,
270
+ "learning_rate": 4.466666666666667e-05,
271
+ "loss": 1.9572,
272
+ "step": 22000
273
+ },
274
+ {
275
+ "epoch": 0.33,
276
+ "learning_rate": 4.454545454545455e-05,
277
+ "loss": 1.9244,
278
+ "step": 22500
279
+ },
280
+ {
281
+ "epoch": 0.33,
282
+ "learning_rate": 4.4424242424242424e-05,
283
+ "loss": 1.9098,
284
+ "step": 23000
285
+ },
286
+ {
287
+ "epoch": 0.34,
288
+ "learning_rate": 4.430303030303031e-05,
289
+ "loss": 1.9108,
290
+ "step": 23500
291
+ },
292
+ {
293
+ "epoch": 0.35,
294
+ "learning_rate": 4.4181818181818184e-05,
295
+ "loss": 1.9152,
296
+ "step": 24000
297
+ },
298
+ {
299
+ "epoch": 0.36,
300
+ "learning_rate": 4.406060606060606e-05,
301
+ "loss": 1.8981,
302
+ "step": 24500
303
+ },
304
+ {
305
+ "epoch": 0.36,
306
+ "learning_rate": 4.3939393939393944e-05,
307
+ "loss": 1.889,
308
+ "step": 25000
309
+ },
310
+ {
311
+ "epoch": 0.37,
312
+ "learning_rate": 4.381818181818182e-05,
313
+ "loss": 1.8922,
314
+ "step": 25500
315
+ },
316
+ {
317
+ "epoch": 0.38,
318
+ "learning_rate": 4.36969696969697e-05,
319
+ "loss": 1.8827,
320
+ "step": 26000
321
+ },
322
+ {
323
+ "epoch": 0.39,
324
+ "learning_rate": 4.3575757575757574e-05,
325
+ "loss": 1.8801,
326
+ "step": 26500
327
+ },
328
+ {
329
+ "epoch": 0.39,
330
+ "learning_rate": 4.345454545454546e-05,
331
+ "loss": 1.8639,
332
+ "step": 27000
333
+ },
334
+ {
335
+ "epoch": 0.4,
336
+ "learning_rate": 4.3333333333333334e-05,
337
+ "loss": 1.8618,
338
+ "step": 27500
339
+ },
340
+ {
341
+ "epoch": 0.41,
342
+ "learning_rate": 4.321212121212122e-05,
343
+ "loss": 1.8786,
344
+ "step": 28000
345
+ },
346
+ {
347
+ "epoch": 0.41,
348
+ "learning_rate": 4.3090909090909094e-05,
349
+ "loss": 1.8485,
350
+ "step": 28500
351
+ },
352
+ {
353
+ "epoch": 0.42,
354
+ "learning_rate": 4.296969696969697e-05,
355
+ "loss": 1.8448,
356
+ "step": 29000
357
+ },
358
+ {
359
+ "epoch": 0.43,
360
+ "learning_rate": 4.284848484848485e-05,
361
+ "loss": 1.83,
362
+ "step": 29500
363
+ },
364
+ {
365
+ "epoch": 0.44,
366
+ "learning_rate": 4.2727272727272724e-05,
367
+ "loss": 1.8522,
368
+ "step": 30000
369
+ },
370
+ {
371
+ "epoch": 0.44,
372
+ "learning_rate": 4.260606060606061e-05,
373
+ "loss": 1.8352,
374
+ "step": 30500
375
+ },
376
+ {
377
+ "epoch": 0.45,
378
+ "learning_rate": 4.248484848484849e-05,
379
+ "loss": 1.8141,
380
+ "step": 31000
381
+ },
382
+ {
383
+ "epoch": 0.46,
384
+ "learning_rate": 4.236363636363637e-05,
385
+ "loss": 1.817,
386
+ "step": 31500
387
+ },
388
+ {
389
+ "epoch": 0.47,
390
+ "learning_rate": 4.2242424242424244e-05,
391
+ "loss": 1.8041,
392
+ "step": 32000
393
+ },
394
+ {
395
+ "epoch": 0.47,
396
+ "learning_rate": 4.212121212121212e-05,
397
+ "loss": 1.8027,
398
+ "step": 32500
399
+ },
400
+ {
401
+ "epoch": 0.48,
402
+ "learning_rate": 4.2e-05,
403
+ "loss": 1.8092,
404
+ "step": 33000
405
+ },
406
+ {
407
+ "epoch": 0.49,
408
+ "learning_rate": 4.187878787878788e-05,
409
+ "loss": 1.7975,
410
+ "step": 33500
411
+ },
412
+ {
413
+ "epoch": 0.49,
414
+ "learning_rate": 4.1757575757575765e-05,
415
+ "loss": 1.7954,
416
+ "step": 34000
417
+ },
418
+ {
419
+ "epoch": 0.5,
420
+ "learning_rate": 4.163636363636364e-05,
421
+ "loss": 1.7862,
422
+ "step": 34500
423
+ },
424
+ {
425
+ "epoch": 0.51,
426
+ "learning_rate": 4.151515151515152e-05,
427
+ "loss": 1.7732,
428
+ "step": 35000
429
+ },
430
+ {
431
+ "epoch": 0.52,
432
+ "learning_rate": 4.1393939393939395e-05,
433
+ "loss": 1.7512,
434
+ "step": 35500
435
+ },
436
+ {
437
+ "epoch": 0.52,
438
+ "learning_rate": 4.127272727272727e-05,
439
+ "loss": 1.7578,
440
+ "step": 36000
441
+ },
442
+ {
443
+ "epoch": 0.53,
444
+ "learning_rate": 4.1151515151515155e-05,
445
+ "loss": 1.7558,
446
+ "step": 36500
447
+ },
448
+ {
449
+ "epoch": 0.54,
450
+ "learning_rate": 4.103030303030303e-05,
451
+ "loss": 1.7377,
452
+ "step": 37000
453
+ },
454
+ {
455
+ "epoch": 0.55,
456
+ "learning_rate": 4.0909090909090915e-05,
457
+ "loss": 1.752,
458
+ "step": 37500
459
+ },
460
+ {
461
+ "epoch": 0.55,
462
+ "learning_rate": 4.078787878787879e-05,
463
+ "loss": 1.7293,
464
+ "step": 38000
465
+ },
466
+ {
467
+ "epoch": 0.56,
468
+ "learning_rate": 4.066666666666667e-05,
469
+ "loss": 1.7322,
470
+ "step": 38500
471
+ },
472
+ {
473
+ "epoch": 0.57,
474
+ "learning_rate": 4.0545454545454545e-05,
475
+ "loss": 1.7293,
476
+ "step": 39000
477
+ },
478
+ {
479
+ "epoch": 0.57,
480
+ "learning_rate": 4.042424242424243e-05,
481
+ "loss": 1.7348,
482
+ "step": 39500
483
+ },
484
+ {
485
+ "epoch": 0.58,
486
+ "learning_rate": 4.0303030303030305e-05,
487
+ "loss": 1.7133,
488
+ "step": 40000
489
+ },
490
+ {
491
+ "epoch": 0.59,
492
+ "learning_rate": 4.018181818181818e-05,
493
+ "loss": 1.7224,
494
+ "step": 40500
495
+ },
496
+ {
497
+ "epoch": 0.6,
498
+ "learning_rate": 4.0060606060606065e-05,
499
+ "loss": 1.7395,
500
+ "step": 41000
501
+ },
502
+ {
503
+ "epoch": 0.6,
504
+ "learning_rate": 3.993939393939394e-05,
505
+ "loss": 1.7224,
506
+ "step": 41500
507
+ },
508
+ {
509
+ "epoch": 0.61,
510
+ "learning_rate": 3.981818181818182e-05,
511
+ "loss": 1.7224,
512
+ "step": 42000
513
+ },
514
+ {
515
+ "epoch": 0.62,
516
+ "learning_rate": 3.96969696969697e-05,
517
+ "loss": 1.6872,
518
+ "step": 42500
519
+ },
520
+ {
521
+ "epoch": 0.63,
522
+ "learning_rate": 3.957575757575758e-05,
523
+ "loss": 1.7039,
524
+ "step": 43000
525
+ },
526
+ {
527
+ "epoch": 0.63,
528
+ "learning_rate": 3.9454545454545455e-05,
529
+ "loss": 1.7014,
530
+ "step": 43500
531
+ },
532
+ {
533
+ "epoch": 0.64,
534
+ "learning_rate": 3.933333333333333e-05,
535
+ "loss": 1.6762,
536
+ "step": 44000
537
+ },
538
+ {
539
+ "epoch": 0.65,
540
+ "learning_rate": 3.9212121212121215e-05,
541
+ "loss": 1.688,
542
+ "step": 44500
543
+ },
544
+ {
545
+ "epoch": 0.65,
546
+ "learning_rate": 3.909090909090909e-05,
547
+ "loss": 1.6812,
548
+ "step": 45000
549
+ },
550
+ {
551
+ "epoch": 0.66,
552
+ "learning_rate": 3.8969696969696975e-05,
553
+ "loss": 1.6776,
554
+ "step": 45500
555
+ },
556
+ {
557
+ "epoch": 0.67,
558
+ "learning_rate": 3.884848484848485e-05,
559
+ "loss": 1.6639,
560
+ "step": 46000
561
+ },
562
+ {
563
+ "epoch": 0.68,
564
+ "learning_rate": 3.872727272727273e-05,
565
+ "loss": 1.6613,
566
+ "step": 46500
567
+ },
568
+ {
569
+ "epoch": 0.68,
570
+ "learning_rate": 3.8606060606060605e-05,
571
+ "loss": 1.6907,
572
+ "step": 47000
573
+ },
574
+ {
575
+ "epoch": 0.69,
576
+ "learning_rate": 3.848484848484848e-05,
577
+ "loss": 1.6505,
578
+ "step": 47500
579
+ },
580
+ {
581
+ "epoch": 0.7,
582
+ "learning_rate": 3.8363636363636365e-05,
583
+ "loss": 1.6567,
584
+ "step": 48000
585
+ },
586
+ {
587
+ "epoch": 0.71,
588
+ "learning_rate": 3.824242424242425e-05,
589
+ "loss": 1.642,
590
+ "step": 48500
591
+ },
592
+ {
593
+ "epoch": 0.71,
594
+ "learning_rate": 3.8121212121212125e-05,
595
+ "loss": 1.6529,
596
+ "step": 49000
597
+ },
598
+ {
599
+ "epoch": 0.72,
600
+ "learning_rate": 3.8e-05,
601
+ "loss": 1.6652,
602
+ "step": 49500
603
+ },
604
+ {
605
+ "epoch": 0.73,
606
+ "learning_rate": 3.787878787878788e-05,
607
+ "loss": 1.6205,
608
+ "step": 50000
609
+ },
610
+ {
611
+ "epoch": 0.73,
612
+ "learning_rate": 3.7757575757575755e-05,
613
+ "loss": 1.6396,
614
+ "step": 50500
615
+ },
616
+ {
617
+ "epoch": 0.74,
618
+ "learning_rate": 3.763636363636364e-05,
619
+ "loss": 1.6264,
620
+ "step": 51000
621
+ },
622
+ {
623
+ "epoch": 0.75,
624
+ "learning_rate": 3.7515151515151516e-05,
625
+ "loss": 1.6381,
626
+ "step": 51500
627
+ },
628
+ {
629
+ "epoch": 0.76,
630
+ "learning_rate": 3.73939393939394e-05,
631
+ "loss": 1.6384,
632
+ "step": 52000
633
+ },
634
+ {
635
+ "epoch": 0.76,
636
+ "learning_rate": 3.7272727272727276e-05,
637
+ "loss": 1.6215,
638
+ "step": 52500
639
+ },
640
+ {
641
+ "epoch": 0.77,
642
+ "learning_rate": 3.715151515151515e-05,
643
+ "loss": 1.6265,
644
+ "step": 53000
645
+ },
646
+ {
647
+ "epoch": 0.78,
648
+ "learning_rate": 3.703030303030303e-05,
649
+ "loss": 1.6105,
650
+ "step": 53500
651
+ },
652
+ {
653
+ "epoch": 0.79,
654
+ "learning_rate": 3.690909090909091e-05,
655
+ "loss": 1.621,
656
+ "step": 54000
657
+ },
658
+ {
659
+ "epoch": 0.79,
660
+ "learning_rate": 3.678787878787879e-05,
661
+ "loss": 1.5984,
662
+ "step": 54500
663
+ },
664
+ {
665
+ "epoch": 0.8,
666
+ "learning_rate": 3.6666666666666666e-05,
667
+ "loss": 1.5843,
668
+ "step": 55000
669
+ },
670
+ {
671
+ "epoch": 0.81,
672
+ "learning_rate": 3.654545454545455e-05,
673
+ "loss": 1.5924,
674
+ "step": 55500
675
+ },
676
+ {
677
+ "epoch": 0.81,
678
+ "learning_rate": 3.6424242424242426e-05,
679
+ "loss": 1.6088,
680
+ "step": 56000
681
+ },
682
+ {
683
+ "epoch": 0.82,
684
+ "learning_rate": 3.63030303030303e-05,
685
+ "loss": 1.608,
686
+ "step": 56500
687
+ },
688
+ {
689
+ "epoch": 0.83,
690
+ "learning_rate": 3.6181818181818186e-05,
691
+ "loss": 1.5497,
692
+ "step": 57000
693
+ },
694
+ {
695
+ "epoch": 0.84,
696
+ "learning_rate": 3.606060606060606e-05,
697
+ "loss": 1.5803,
698
+ "step": 57500
699
+ },
700
+ {
701
+ "epoch": 0.84,
702
+ "learning_rate": 3.593939393939394e-05,
703
+ "loss": 1.5805,
704
+ "step": 58000
705
+ },
706
+ {
707
+ "epoch": 0.85,
708
+ "learning_rate": 3.5818181818181816e-05,
709
+ "loss": 1.5827,
710
+ "step": 58500
711
+ },
712
+ {
713
+ "epoch": 0.86,
714
+ "learning_rate": 3.56969696969697e-05,
715
+ "loss": 1.5819,
716
+ "step": 59000
717
+ },
718
+ {
719
+ "epoch": 0.87,
720
+ "learning_rate": 3.5575757575757576e-05,
721
+ "loss": 1.5652,
722
+ "step": 59500
723
+ },
724
+ {
725
+ "epoch": 0.87,
726
+ "learning_rate": 3.545454545454546e-05,
727
+ "loss": 1.5402,
728
+ "step": 60000
729
+ },
730
+ {
731
+ "epoch": 0.88,
732
+ "learning_rate": 3.5333333333333336e-05,
733
+ "loss": 1.5669,
734
+ "step": 60500
735
+ },
736
+ {
737
+ "epoch": 0.89,
738
+ "learning_rate": 3.521212121212121e-05,
739
+ "loss": 1.5428,
740
+ "step": 61000
741
+ },
742
+ {
743
+ "epoch": 0.89,
744
+ "learning_rate": 3.509090909090909e-05,
745
+ "loss": 1.5719,
746
+ "step": 61500
747
+ },
748
+ {
749
+ "epoch": 0.9,
750
+ "learning_rate": 3.4969696969696966e-05,
751
+ "loss": 1.5529,
752
+ "step": 62000
753
+ },
754
+ {
755
+ "epoch": 0.91,
756
+ "learning_rate": 3.484848484848485e-05,
757
+ "loss": 1.5315,
758
+ "step": 62500
759
+ },
760
+ {
761
+ "epoch": 0.92,
762
+ "learning_rate": 3.472727272727273e-05,
763
+ "loss": 1.5409,
764
+ "step": 63000
765
+ },
766
+ {
767
+ "epoch": 0.92,
768
+ "learning_rate": 3.460606060606061e-05,
769
+ "loss": 1.5517,
770
+ "step": 63500
771
+ },
772
+ {
773
+ "epoch": 0.93,
774
+ "learning_rate": 3.4484848484848486e-05,
775
+ "loss": 1.5464,
776
+ "step": 64000
777
+ },
778
+ {
779
+ "epoch": 0.94,
780
+ "learning_rate": 3.436363636363636e-05,
781
+ "loss": 1.5478,
782
+ "step": 64500
783
+ },
784
+ {
785
+ "epoch": 0.95,
786
+ "learning_rate": 3.424242424242424e-05,
787
+ "loss": 1.5304,
788
+ "step": 65000
789
+ },
790
+ {
791
+ "epoch": 0.95,
792
+ "learning_rate": 3.412121212121212e-05,
793
+ "loss": 1.5287,
794
+ "step": 65500
795
+ },
796
+ {
797
+ "epoch": 0.96,
798
+ "learning_rate": 3.4000000000000007e-05,
799
+ "loss": 1.5111,
800
+ "step": 66000
801
+ },
802
+ {
803
+ "epoch": 0.97,
804
+ "learning_rate": 3.387878787878788e-05,
805
+ "loss": 1.5287,
806
+ "step": 66500
807
+ },
808
+ {
809
+ "epoch": 0.97,
810
+ "learning_rate": 3.375757575757576e-05,
811
+ "loss": 1.5192,
812
+ "step": 67000
813
+ },
814
+ {
815
+ "epoch": 0.98,
816
+ "learning_rate": 3.3636363636363636e-05,
817
+ "loss": 1.5208,
818
+ "step": 67500
819
+ },
820
+ {
821
+ "epoch": 0.99,
822
+ "learning_rate": 3.351515151515151e-05,
823
+ "loss": 1.5139,
824
+ "step": 68000
825
+ },
826
+ {
827
+ "epoch": 1.0,
828
+ "learning_rate": 3.3393939393939397e-05,
829
+ "loss": 1.5067,
830
+ "step": 68500
831
+ },
832
+ {
833
+ "epoch": 1.0,
834
+ "eval_loss": 1.6837466955184937,
835
+ "eval_runtime": 1235.7847,
836
+ "eval_samples_per_second": 97.104,
837
+ "eval_steps_per_second": 3.035,
838
+ "step": 68750
839
+ },
840
+ {
841
+ "epoch": 1.0,
842
+ "learning_rate": 3.327272727272727e-05,
843
+ "loss": 1.4235,
844
+ "step": 69000
845
+ },
846
+ {
847
+ "epoch": 1.01,
848
+ "learning_rate": 3.315151515151516e-05,
849
+ "loss": 1.3688,
850
+ "step": 69500
851
+ },
852
+ {
853
+ "epoch": 1.02,
854
+ "learning_rate": 3.303030303030303e-05,
855
+ "loss": 1.3608,
856
+ "step": 70000
857
+ },
858
+ {
859
+ "epoch": 1.03,
860
+ "learning_rate": 3.290909090909091e-05,
861
+ "loss": 1.3435,
862
+ "step": 70500
863
+ },
864
+ {
865
+ "epoch": 1.03,
866
+ "learning_rate": 3.278787878787879e-05,
867
+ "loss": 1.3613,
868
+ "step": 71000
869
+ },
870
+ {
871
+ "epoch": 1.04,
872
+ "learning_rate": 3.266666666666667e-05,
873
+ "loss": 1.3527,
874
+ "step": 71500
875
+ },
876
+ {
877
+ "epoch": 1.05,
878
+ "learning_rate": 3.254545454545455e-05,
879
+ "loss": 1.3412,
880
+ "step": 72000
881
+ },
882
+ {
883
+ "epoch": 1.05,
884
+ "learning_rate": 3.2424242424242423e-05,
885
+ "loss": 1.3241,
886
+ "step": 72500
887
+ },
888
+ {
889
+ "epoch": 1.06,
890
+ "learning_rate": 3.230303030303031e-05,
891
+ "loss": 1.357,
892
+ "step": 73000
893
+ },
894
+ {
895
+ "epoch": 1.07,
896
+ "learning_rate": 3.2181818181818184e-05,
897
+ "loss": 1.3515,
898
+ "step": 73500
899
+ },
900
+ {
901
+ "epoch": 1.08,
902
+ "learning_rate": 3.206060606060606e-05,
903
+ "loss": 1.349,
904
+ "step": 74000
905
+ },
906
+ {
907
+ "epoch": 1.08,
908
+ "learning_rate": 3.1939393939393944e-05,
909
+ "loss": 1.3457,
910
+ "step": 74500
911
+ },
912
+ {
913
+ "epoch": 1.09,
914
+ "learning_rate": 3.181818181818182e-05,
915
+ "loss": 1.3598,
916
+ "step": 75000
917
+ },
918
+ {
919
+ "epoch": 1.1,
920
+ "learning_rate": 3.16969696969697e-05,
921
+ "loss": 1.3438,
922
+ "step": 75500
923
+ },
924
+ {
925
+ "epoch": 1.11,
926
+ "learning_rate": 3.1575757575757574e-05,
927
+ "loss": 1.333,
928
+ "step": 76000
929
+ },
930
+ {
931
+ "epoch": 1.11,
932
+ "learning_rate": 3.145454545454546e-05,
933
+ "loss": 1.3559,
934
+ "step": 76500
935
+ },
936
+ {
937
+ "epoch": 1.12,
938
+ "learning_rate": 3.1333333333333334e-05,
939
+ "loss": 1.3417,
940
+ "step": 77000
941
+ },
942
+ {
943
+ "epoch": 1.13,
944
+ "learning_rate": 3.121212121212122e-05,
945
+ "loss": 1.3425,
946
+ "step": 77500
947
+ },
948
+ {
949
+ "epoch": 1.13,
950
+ "learning_rate": 3.1090909090909094e-05,
951
+ "loss": 1.3549,
952
+ "step": 78000
953
+ },
954
+ {
955
+ "epoch": 1.14,
956
+ "learning_rate": 3.096969696969697e-05,
957
+ "loss": 1.3508,
958
+ "step": 78500
959
+ },
960
+ {
961
+ "epoch": 1.15,
962
+ "learning_rate": 3.084848484848485e-05,
963
+ "loss": 1.3481,
964
+ "step": 79000
965
+ },
966
+ {
967
+ "epoch": 1.16,
968
+ "learning_rate": 3.0727272727272724e-05,
969
+ "loss": 1.3256,
970
+ "step": 79500
971
+ },
972
+ {
973
+ "epoch": 1.16,
974
+ "learning_rate": 3.060606060606061e-05,
975
+ "loss": 1.3316,
976
+ "step": 80000
977
+ },
978
+ {
979
+ "epoch": 1.17,
980
+ "learning_rate": 3.0484848484848487e-05,
981
+ "loss": 1.3434,
982
+ "step": 80500
983
+ },
984
+ {
985
+ "epoch": 1.18,
986
+ "learning_rate": 3.0363636363636367e-05,
987
+ "loss": 1.3265,
988
+ "step": 81000
989
+ },
990
+ {
991
+ "epoch": 1.19,
992
+ "learning_rate": 3.0242424242424244e-05,
993
+ "loss": 1.3174,
994
+ "step": 81500
995
+ },
996
+ {
997
+ "epoch": 1.19,
998
+ "learning_rate": 3.012121212121212e-05,
999
+ "loss": 1.3155,
1000
+ "step": 82000
1001
+ },
1002
+ {
1003
+ "epoch": 1.2,
1004
+ "learning_rate": 3e-05,
1005
+ "loss": 1.3222,
1006
+ "step": 82500
1007
+ },
1008
+ {
1009
+ "epoch": 1.21,
1010
+ "learning_rate": 2.9878787878787877e-05,
1011
+ "loss": 1.3259,
1012
+ "step": 83000
1013
+ },
1014
+ {
1015
+ "epoch": 1.21,
1016
+ "learning_rate": 2.9757575757575757e-05,
1017
+ "loss": 1.3184,
1018
+ "step": 83500
1019
+ },
1020
+ {
1021
+ "epoch": 1.22,
1022
+ "learning_rate": 2.963636363636364e-05,
1023
+ "loss": 1.3262,
1024
+ "step": 84000
1025
+ },
1026
+ {
1027
+ "epoch": 1.23,
1028
+ "learning_rate": 2.9515151515151518e-05,
1029
+ "loss": 1.3059,
1030
+ "step": 84500
1031
+ },
1032
+ {
1033
+ "epoch": 1.24,
1034
+ "learning_rate": 2.9393939393939394e-05,
1035
+ "loss": 1.3129,
1036
+ "step": 85000
1037
+ },
1038
+ {
1039
+ "epoch": 1.24,
1040
+ "learning_rate": 2.9272727272727274e-05,
1041
+ "loss": 1.3068,
1042
+ "step": 85500
1043
+ },
1044
+ {
1045
+ "epoch": 1.25,
1046
+ "learning_rate": 2.915151515151515e-05,
1047
+ "loss": 1.3208,
1048
+ "step": 86000
1049
+ },
1050
+ {
1051
+ "epoch": 1.26,
1052
+ "learning_rate": 2.903030303030303e-05,
1053
+ "loss": 1.298,
1054
+ "step": 86500
1055
+ },
1056
+ {
1057
+ "epoch": 1.27,
1058
+ "learning_rate": 2.8909090909090908e-05,
1059
+ "loss": 1.3132,
1060
+ "step": 87000
1061
+ },
1062
+ {
1063
+ "epoch": 1.27,
1064
+ "learning_rate": 2.878787878787879e-05,
1065
+ "loss": 1.3159,
1066
+ "step": 87500
1067
+ },
1068
+ {
1069
+ "epoch": 1.28,
1070
+ "learning_rate": 2.8666666666666668e-05,
1071
+ "loss": 1.3063,
1072
+ "step": 88000
1073
+ },
1074
+ {
1075
+ "epoch": 1.29,
1076
+ "learning_rate": 2.8545454545454548e-05,
1077
+ "loss": 1.3065,
1078
+ "step": 88500
1079
+ },
1080
+ {
1081
+ "epoch": 1.29,
1082
+ "learning_rate": 2.8424242424242424e-05,
1083
+ "loss": 1.2907,
1084
+ "step": 89000
1085
+ },
1086
+ {
1087
+ "epoch": 1.3,
1088
+ "learning_rate": 2.8303030303030305e-05,
1089
+ "loss": 1.3093,
1090
+ "step": 89500
1091
+ },
1092
+ {
1093
+ "epoch": 1.31,
1094
+ "learning_rate": 2.818181818181818e-05,
1095
+ "loss": 1.3054,
1096
+ "step": 90000
1097
+ },
1098
+ {
1099
+ "epoch": 1.32,
1100
+ "learning_rate": 2.8060606060606058e-05,
1101
+ "loss": 1.3046,
1102
+ "step": 90500
1103
+ },
1104
+ {
1105
+ "epoch": 1.32,
1106
+ "learning_rate": 2.7939393939393945e-05,
1107
+ "loss": 1.3251,
1108
+ "step": 91000
1109
+ },
1110
+ {
1111
+ "epoch": 1.33,
1112
+ "learning_rate": 2.781818181818182e-05,
1113
+ "loss": 1.2915,
1114
+ "step": 91500
1115
+ },
1116
+ {
1117
+ "epoch": 1.34,
1118
+ "learning_rate": 2.7696969696969698e-05,
1119
+ "loss": 1.3113,
1120
+ "step": 92000
1121
+ },
1122
+ {
1123
+ "epoch": 1.35,
1124
+ "learning_rate": 2.7575757575757578e-05,
1125
+ "loss": 1.2773,
1126
+ "step": 92500
1127
+ },
1128
+ {
1129
+ "epoch": 1.35,
1130
+ "learning_rate": 2.7454545454545455e-05,
1131
+ "loss": 1.3076,
1132
+ "step": 93000
1133
+ },
1134
+ {
1135
+ "epoch": 1.36,
1136
+ "learning_rate": 2.733333333333333e-05,
1137
+ "loss": 1.2772,
1138
+ "step": 93500
1139
+ },
1140
+ {
1141
+ "epoch": 1.37,
1142
+ "learning_rate": 2.721212121212121e-05,
1143
+ "loss": 1.275,
1144
+ "step": 94000
1145
+ },
1146
+ {
1147
+ "epoch": 1.37,
1148
+ "learning_rate": 2.7090909090909095e-05,
1149
+ "loss": 1.2929,
1150
+ "step": 94500
1151
+ },
1152
+ {
1153
+ "epoch": 1.38,
1154
+ "learning_rate": 2.696969696969697e-05,
1155
+ "loss": 1.2849,
1156
+ "step": 95000
1157
+ },
1158
+ {
1159
+ "epoch": 1.39,
1160
+ "learning_rate": 2.684848484848485e-05,
1161
+ "loss": 1.2681,
1162
+ "step": 95500
1163
+ },
1164
+ {
1165
+ "epoch": 1.4,
1166
+ "learning_rate": 2.6727272727272728e-05,
1167
+ "loss": 1.303,
1168
+ "step": 96000
1169
+ },
1170
+ {
1171
+ "epoch": 1.4,
1172
+ "learning_rate": 2.6606060606060605e-05,
1173
+ "loss": 1.2876,
1174
+ "step": 96500
1175
+ },
1176
+ {
1177
+ "epoch": 1.41,
1178
+ "learning_rate": 2.6484848484848485e-05,
1179
+ "loss": 1.2657,
1180
+ "step": 97000
1181
+ },
1182
+ {
1183
+ "epoch": 1.42,
1184
+ "learning_rate": 2.636363636363636e-05,
1185
+ "loss": 1.28,
1186
+ "step": 97500
1187
+ },
1188
+ {
1189
+ "epoch": 1.43,
1190
+ "learning_rate": 2.6242424242424245e-05,
1191
+ "loss": 1.2482,
1192
+ "step": 98000
1193
+ },
1194
+ {
1195
+ "epoch": 1.43,
1196
+ "learning_rate": 2.6121212121212125e-05,
1197
+ "loss": 1.2574,
1198
+ "step": 98500
1199
+ },
1200
+ {
1201
+ "epoch": 1.44,
1202
+ "learning_rate": 2.6000000000000002e-05,
1203
+ "loss": 1.2557,
1204
+ "step": 99000
1205
+ },
1206
+ {
1207
+ "epoch": 1.45,
1208
+ "learning_rate": 2.587878787878788e-05,
1209
+ "loss": 1.2827,
1210
+ "step": 99500
1211
+ },
1212
+ {
1213
+ "epoch": 1.45,
1214
+ "learning_rate": 2.575757575757576e-05,
1215
+ "loss": 1.2572,
1216
+ "step": 100000
1217
+ },
1218
+ {
1219
+ "epoch": 1.46,
1220
+ "learning_rate": 2.5636363636363635e-05,
1221
+ "loss": 1.2571,
1222
+ "step": 100500
1223
+ },
1224
+ {
1225
+ "epoch": 1.47,
1226
+ "learning_rate": 2.5515151515151515e-05,
1227
+ "loss": 1.2707,
1228
+ "step": 101000
1229
+ },
1230
+ {
1231
+ "epoch": 1.48,
1232
+ "learning_rate": 2.53939393939394e-05,
1233
+ "loss": 1.2468,
1234
+ "step": 101500
1235
+ },
1236
+ {
1237
+ "epoch": 1.48,
1238
+ "learning_rate": 2.5272727272727275e-05,
1239
+ "loss": 1.2447,
1240
+ "step": 102000
1241
+ },
1242
+ {
1243
+ "epoch": 1.49,
1244
+ "learning_rate": 2.5151515151515155e-05,
1245
+ "loss": 1.2617,
1246
+ "step": 102500
1247
+ },
1248
+ {
1249
+ "epoch": 1.5,
1250
+ "learning_rate": 2.5030303030303032e-05,
1251
+ "loss": 1.2277,
1252
+ "step": 103000
1253
+ },
1254
+ {
1255
+ "epoch": 1.51,
1256
+ "learning_rate": 2.490909090909091e-05,
1257
+ "loss": 1.2725,
1258
+ "step": 103500
1259
+ },
1260
+ {
1261
+ "epoch": 1.51,
1262
+ "learning_rate": 2.478787878787879e-05,
1263
+ "loss": 1.2358,
1264
+ "step": 104000
1265
+ },
1266
+ {
1267
+ "epoch": 1.52,
1268
+ "learning_rate": 2.466666666666667e-05,
1269
+ "loss": 1.241,
1270
+ "step": 104500
1271
+ },
1272
+ {
1273
+ "epoch": 1.53,
1274
+ "learning_rate": 2.4545454545454545e-05,
1275
+ "loss": 1.249,
1276
+ "step": 105000
1277
+ },
1278
+ {
1279
+ "epoch": 1.53,
1280
+ "learning_rate": 2.4424242424242426e-05,
1281
+ "loss": 1.2212,
1282
+ "step": 105500
1283
+ },
1284
+ {
1285
+ "epoch": 1.54,
1286
+ "learning_rate": 2.4303030303030306e-05,
1287
+ "loss": 1.2323,
1288
+ "step": 106000
1289
+ },
1290
+ {
1291
+ "epoch": 1.55,
1292
+ "learning_rate": 2.4181818181818182e-05,
1293
+ "loss": 1.228,
1294
+ "step": 106500
1295
+ },
1296
+ {
1297
+ "epoch": 1.56,
1298
+ "learning_rate": 2.4060606060606062e-05,
1299
+ "loss": 1.2124,
1300
+ "step": 107000
1301
+ },
1302
+ {
1303
+ "epoch": 1.56,
1304
+ "learning_rate": 2.393939393939394e-05,
1305
+ "loss": 1.2512,
1306
+ "step": 107500
1307
+ },
1308
+ {
1309
+ "epoch": 1.57,
1310
+ "learning_rate": 2.381818181818182e-05,
1311
+ "loss": 1.2188,
1312
+ "step": 108000
1313
+ },
1314
+ {
1315
+ "epoch": 1.58,
1316
+ "learning_rate": 2.36969696969697e-05,
1317
+ "loss": 1.217,
1318
+ "step": 108500
1319
+ },
1320
+ {
1321
+ "epoch": 1.59,
1322
+ "learning_rate": 2.3575757575757576e-05,
1323
+ "loss": 1.2696,
1324
+ "step": 109000
1325
+ },
1326
+ {
1327
+ "epoch": 1.59,
1328
+ "learning_rate": 2.3454545454545456e-05,
1329
+ "loss": 1.223,
1330
+ "step": 109500
1331
+ },
1332
+ {
1333
+ "epoch": 1.6,
1334
+ "learning_rate": 2.3333333333333336e-05,
1335
+ "loss": 1.2262,
1336
+ "step": 110000
1337
+ },
1338
+ {
1339
+ "epoch": 1.61,
1340
+ "learning_rate": 2.3212121212121212e-05,
1341
+ "loss": 1.2129,
1342
+ "step": 110500
1343
+ },
1344
+ {
1345
+ "epoch": 1.61,
1346
+ "learning_rate": 2.309090909090909e-05,
1347
+ "loss": 1.2198,
1348
+ "step": 111000
1349
+ },
1350
+ {
1351
+ "epoch": 1.62,
1352
+ "learning_rate": 2.2969696969696973e-05,
1353
+ "loss": 1.2001,
1354
+ "step": 111500
1355
+ },
1356
+ {
1357
+ "epoch": 1.63,
1358
+ "learning_rate": 2.284848484848485e-05,
1359
+ "loss": 1.2129,
1360
+ "step": 112000
1361
+ },
1362
+ {
1363
+ "epoch": 1.64,
1364
+ "learning_rate": 2.272727272727273e-05,
1365
+ "loss": 1.2044,
1366
+ "step": 112500
1367
+ },
1368
+ {
1369
+ "epoch": 1.64,
1370
+ "learning_rate": 2.260606060606061e-05,
1371
+ "loss": 1.2219,
1372
+ "step": 113000
1373
+ },
1374
+ {
1375
+ "epoch": 1.65,
1376
+ "learning_rate": 2.2484848484848486e-05,
1377
+ "loss": 1.2214,
1378
+ "step": 113500
1379
+ },
1380
+ {
1381
+ "epoch": 1.66,
1382
+ "learning_rate": 2.2363636363636366e-05,
1383
+ "loss": 1.1948,
1384
+ "step": 114000
1385
+ },
1386
+ {
1387
+ "epoch": 1.67,
1388
+ "learning_rate": 2.2242424242424243e-05,
1389
+ "loss": 1.2041,
1390
+ "step": 114500
1391
+ },
1392
+ {
1393
+ "epoch": 1.67,
1394
+ "learning_rate": 2.2121212121212123e-05,
1395
+ "loss": 1.2114,
1396
+ "step": 115000
1397
+ },
1398
+ {
1399
+ "epoch": 1.68,
1400
+ "learning_rate": 2.2000000000000003e-05,
1401
+ "loss": 1.2051,
1402
+ "step": 115500
1403
+ },
1404
+ {
1405
+ "epoch": 1.69,
1406
+ "learning_rate": 2.187878787878788e-05,
1407
+ "loss": 1.2059,
1408
+ "step": 116000
1409
+ },
1410
+ {
1411
+ "epoch": 1.69,
1412
+ "learning_rate": 2.175757575757576e-05,
1413
+ "loss": 1.2335,
1414
+ "step": 116500
1415
+ },
1416
+ {
1417
+ "epoch": 1.7,
1418
+ "learning_rate": 2.163636363636364e-05,
1419
+ "loss": 1.2088,
1420
+ "step": 117000
1421
+ },
1422
+ {
1423
+ "epoch": 1.71,
1424
+ "learning_rate": 2.1515151515151516e-05,
1425
+ "loss": 1.2058,
1426
+ "step": 117500
1427
+ },
1428
+ {
1429
+ "epoch": 1.72,
1430
+ "learning_rate": 2.1393939393939393e-05,
1431
+ "loss": 1.1982,
1432
+ "step": 118000
1433
+ },
1434
+ {
1435
+ "epoch": 1.72,
1436
+ "learning_rate": 2.1272727272727276e-05,
1437
+ "loss": 1.1952,
1438
+ "step": 118500
1439
+ },
1440
+ {
1441
+ "epoch": 1.73,
1442
+ "learning_rate": 2.1151515151515153e-05,
1443
+ "loss": 1.1729,
1444
+ "step": 119000
1445
+ },
1446
+ {
1447
+ "epoch": 1.74,
1448
+ "learning_rate": 2.103030303030303e-05,
1449
+ "loss": 1.1796,
1450
+ "step": 119500
1451
+ },
1452
+ {
1453
+ "epoch": 1.75,
1454
+ "learning_rate": 2.090909090909091e-05,
1455
+ "loss": 1.1817,
1456
+ "step": 120000
1457
+ },
1458
+ {
1459
+ "epoch": 1.75,
1460
+ "learning_rate": 2.078787878787879e-05,
1461
+ "loss": 1.1833,
1462
+ "step": 120500
1463
+ },
1464
+ {
1465
+ "epoch": 1.76,
1466
+ "learning_rate": 2.0666666666666666e-05,
1467
+ "loss": 1.182,
1468
+ "step": 121000
1469
+ },
1470
+ {
1471
+ "epoch": 1.77,
1472
+ "learning_rate": 2.0545454545454546e-05,
1473
+ "loss": 1.1816,
1474
+ "step": 121500
1475
+ },
1476
+ {
1477
+ "epoch": 1.77,
1478
+ "learning_rate": 2.0424242424242427e-05,
1479
+ "loss": 1.1666,
1480
+ "step": 122000
1481
+ },
1482
+ {
1483
+ "epoch": 1.78,
1484
+ "learning_rate": 2.0303030303030303e-05,
1485
+ "loss": 1.1642,
1486
+ "step": 122500
1487
+ },
1488
+ {
1489
+ "epoch": 1.79,
1490
+ "learning_rate": 2.0181818181818183e-05,
1491
+ "loss": 1.1658,
1492
+ "step": 123000
1493
+ },
1494
+ {
1495
+ "epoch": 1.8,
1496
+ "learning_rate": 2.006060606060606e-05,
1497
+ "loss": 1.1708,
1498
+ "step": 123500
1499
+ },
1500
+ {
1501
+ "epoch": 1.8,
1502
+ "learning_rate": 1.993939393939394e-05,
1503
+ "loss": 1.1742,
1504
+ "step": 124000
1505
+ },
1506
+ {
1507
+ "epoch": 1.81,
1508
+ "learning_rate": 1.981818181818182e-05,
1509
+ "loss": 1.1614,
1510
+ "step": 124500
1511
+ },
1512
+ {
1513
+ "epoch": 1.82,
1514
+ "learning_rate": 1.9696969696969697e-05,
1515
+ "loss": 1.17,
1516
+ "step": 125000
1517
+ },
1518
+ {
1519
+ "epoch": 1.83,
1520
+ "learning_rate": 1.9575757575757577e-05,
1521
+ "loss": 1.1679,
1522
+ "step": 125500
1523
+ },
1524
+ {
1525
+ "epoch": 1.83,
1526
+ "learning_rate": 1.9454545454545457e-05,
1527
+ "loss": 1.1545,
1528
+ "step": 126000
1529
+ },
1530
+ {
1531
+ "epoch": 1.84,
1532
+ "learning_rate": 1.9333333333333333e-05,
1533
+ "loss": 1.1688,
1534
+ "step": 126500
1535
+ },
1536
+ {
1537
+ "epoch": 1.85,
1538
+ "learning_rate": 1.9212121212121213e-05,
1539
+ "loss": 1.1615,
1540
+ "step": 127000
1541
+ },
1542
+ {
1543
+ "epoch": 1.85,
1544
+ "learning_rate": 1.9090909090909094e-05,
1545
+ "loss": 1.1366,
1546
+ "step": 127500
1547
+ },
1548
+ {
1549
+ "epoch": 1.86,
1550
+ "learning_rate": 1.896969696969697e-05,
1551
+ "loss": 1.1694,
1552
+ "step": 128000
1553
+ },
1554
+ {
1555
+ "epoch": 1.87,
1556
+ "learning_rate": 1.884848484848485e-05,
1557
+ "loss": 1.1326,
1558
+ "step": 128500
1559
+ },
1560
+ {
1561
+ "epoch": 1.88,
1562
+ "learning_rate": 1.872727272727273e-05,
1563
+ "loss": 1.1274,
1564
+ "step": 129000
1565
+ },
1566
+ {
1567
+ "epoch": 1.88,
1568
+ "learning_rate": 1.8606060606060607e-05,
1569
+ "loss": 1.1415,
1570
+ "step": 129500
1571
+ },
1572
+ {
1573
+ "epoch": 1.89,
1574
+ "learning_rate": 1.8484848484848487e-05,
1575
+ "loss": 1.1488,
1576
+ "step": 130000
1577
+ },
1578
+ {
1579
+ "epoch": 1.9,
1580
+ "learning_rate": 1.8363636363636364e-05,
1581
+ "loss": 1.1248,
1582
+ "step": 130500
1583
+ },
1584
+ {
1585
+ "epoch": 1.91,
1586
+ "learning_rate": 1.8242424242424244e-05,
1587
+ "loss": 1.1589,
1588
+ "step": 131000
1589
+ },
1590
+ {
1591
+ "epoch": 1.91,
1592
+ "learning_rate": 1.8121212121212124e-05,
1593
+ "loss": 1.133,
1594
+ "step": 131500
1595
+ },
1596
+ {
1597
+ "epoch": 1.92,
1598
+ "learning_rate": 1.8e-05,
1599
+ "loss": 1.1291,
1600
+ "step": 132000
1601
+ },
1602
+ {
1603
+ "epoch": 1.93,
1604
+ "learning_rate": 1.787878787878788e-05,
1605
+ "loss": 1.1552,
1606
+ "step": 132500
1607
+ },
1608
+ {
1609
+ "epoch": 1.93,
1610
+ "learning_rate": 1.775757575757576e-05,
1611
+ "loss": 1.1193,
1612
+ "step": 133000
1613
+ },
1614
+ {
1615
+ "epoch": 1.94,
1616
+ "learning_rate": 1.7636363636363637e-05,
1617
+ "loss": 1.1384,
1618
+ "step": 133500
1619
+ },
1620
+ {
1621
+ "epoch": 1.95,
1622
+ "learning_rate": 1.7515151515151514e-05,
1623
+ "loss": 1.1292,
1624
+ "step": 134000
1625
+ },
1626
+ {
1627
+ "epoch": 1.96,
1628
+ "learning_rate": 1.7393939393939397e-05,
1629
+ "loss": 1.1318,
1630
+ "step": 134500
1631
+ },
1632
+ {
1633
+ "epoch": 1.96,
1634
+ "learning_rate": 1.7272727272727274e-05,
1635
+ "loss": 1.1061,
1636
+ "step": 135000
1637
+ },
1638
+ {
1639
+ "epoch": 1.97,
1640
+ "learning_rate": 1.715151515151515e-05,
1641
+ "loss": 1.1182,
1642
+ "step": 135500
1643
+ },
1644
+ {
1645
+ "epoch": 1.98,
1646
+ "learning_rate": 1.703030303030303e-05,
1647
+ "loss": 1.1277,
1648
+ "step": 136000
1649
+ },
1650
+ {
1651
+ "epoch": 1.99,
1652
+ "learning_rate": 1.690909090909091e-05,
1653
+ "loss": 1.1243,
1654
+ "step": 136500
1655
+ },
1656
+ {
1657
+ "epoch": 1.99,
1658
+ "learning_rate": 1.6787878787878787e-05,
1659
+ "loss": 1.1209,
1660
+ "step": 137000
1661
+ },
1662
+ {
1663
+ "epoch": 2.0,
1664
+ "learning_rate": 1.6666666666666667e-05,
1665
+ "loss": 1.1444,
1666
+ "step": 137500
1667
+ },
1668
+ {
1669
+ "epoch": 2.0,
1670
+ "eval_loss": 1.3132866621017456,
1671
+ "eval_runtime": 1353.544,
1672
+ "eval_samples_per_second": 88.656,
1673
+ "eval_steps_per_second": 2.771,
1674
+ "step": 137500
1675
+ },
1676
+ {
1677
+ "epoch": 2.01,
1678
+ "learning_rate": 1.6545454545454548e-05,
1679
+ "loss": 0.8966,
1680
+ "step": 138000
1681
+ },
1682
+ {
1683
+ "epoch": 2.01,
1684
+ "learning_rate": 1.6424242424242424e-05,
1685
+ "loss": 0.9101,
1686
+ "step": 138500
1687
+ },
1688
+ {
1689
+ "epoch": 2.02,
1690
+ "learning_rate": 1.6303030303030304e-05,
1691
+ "loss": 0.911,
1692
+ "step": 139000
1693
+ },
1694
+ {
1695
+ "epoch": 2.03,
1696
+ "learning_rate": 1.618181818181818e-05,
1697
+ "loss": 0.896,
1698
+ "step": 139500
1699
+ },
1700
+ {
1701
+ "epoch": 2.04,
1702
+ "learning_rate": 1.606060606060606e-05,
1703
+ "loss": 0.9047,
1704
+ "step": 140000
1705
+ },
1706
+ {
1707
+ "epoch": 2.04,
1708
+ "learning_rate": 1.593939393939394e-05,
1709
+ "loss": 0.891,
1710
+ "step": 140500
1711
+ },
1712
+ {
1713
+ "epoch": 2.05,
1714
+ "learning_rate": 1.5818181818181818e-05,
1715
+ "loss": 0.8898,
1716
+ "step": 141000
1717
+ },
1718
+ {
1719
+ "epoch": 2.06,
1720
+ "learning_rate": 1.5696969696969698e-05,
1721
+ "loss": 0.8982,
1722
+ "step": 141500
1723
+ },
1724
+ {
1725
+ "epoch": 2.07,
1726
+ "learning_rate": 1.5575757575757578e-05,
1727
+ "loss": 0.8965,
1728
+ "step": 142000
1729
+ },
1730
+ {
1731
+ "epoch": 2.07,
1732
+ "learning_rate": 1.5454545454545454e-05,
1733
+ "loss": 0.8793,
1734
+ "step": 142500
1735
+ },
1736
+ {
1737
+ "epoch": 2.08,
1738
+ "learning_rate": 1.5333333333333334e-05,
1739
+ "loss": 0.8738,
1740
+ "step": 143000
1741
+ },
1742
+ {
1743
+ "epoch": 2.09,
1744
+ "learning_rate": 1.5212121212121213e-05,
1745
+ "loss": 0.8893,
1746
+ "step": 143500
1747
+ },
1748
+ {
1749
+ "epoch": 2.09,
1750
+ "learning_rate": 1.5090909090909091e-05,
1751
+ "loss": 0.8802,
1752
+ "step": 144000
1753
+ },
1754
+ {
1755
+ "epoch": 2.1,
1756
+ "learning_rate": 1.496969696969697e-05,
1757
+ "loss": 0.8884,
1758
+ "step": 144500
1759
+ },
1760
+ {
1761
+ "epoch": 2.11,
1762
+ "learning_rate": 1.484848484848485e-05,
1763
+ "loss": 0.8822,
1764
+ "step": 145000
1765
+ },
1766
+ {
1767
+ "epoch": 2.12,
1768
+ "learning_rate": 1.4727272727272728e-05,
1769
+ "loss": 0.8881,
1770
+ "step": 145500
1771
+ },
1772
+ {
1773
+ "epoch": 2.12,
1774
+ "learning_rate": 1.4606060606060606e-05,
1775
+ "loss": 0.8865,
1776
+ "step": 146000
1777
+ },
1778
+ {
1779
+ "epoch": 2.13,
1780
+ "learning_rate": 1.4484848484848485e-05,
1781
+ "loss": 0.8804,
1782
+ "step": 146500
1783
+ },
1784
+ {
1785
+ "epoch": 2.14,
1786
+ "learning_rate": 1.4363636363636365e-05,
1787
+ "loss": 0.8792,
1788
+ "step": 147000
1789
+ },
1790
+ {
1791
+ "epoch": 2.15,
1792
+ "learning_rate": 1.4242424242424243e-05,
1793
+ "loss": 0.8752,
1794
+ "step": 147500
1795
+ },
1796
+ {
1797
+ "epoch": 2.15,
1798
+ "learning_rate": 1.4121212121212121e-05,
1799
+ "loss": 0.8634,
1800
+ "step": 148000
1801
+ },
1802
+ {
1803
+ "epoch": 2.16,
1804
+ "learning_rate": 1.4000000000000001e-05,
1805
+ "loss": 0.897,
1806
+ "step": 148500
1807
+ },
1808
+ {
1809
+ "epoch": 2.17,
1810
+ "learning_rate": 1.387878787878788e-05,
1811
+ "loss": 0.8875,
1812
+ "step": 149000
1813
+ },
1814
+ {
1815
+ "epoch": 2.17,
1816
+ "learning_rate": 1.3757575757575758e-05,
1817
+ "loss": 0.8764,
1818
+ "step": 149500
1819
+ },
1820
+ {
1821
+ "epoch": 2.18,
1822
+ "learning_rate": 1.3636363636363637e-05,
1823
+ "loss": 0.8813,
1824
+ "step": 150000
1825
+ },
1826
+ {
1827
+ "epoch": 2.19,
1828
+ "learning_rate": 1.3515151515151517e-05,
1829
+ "loss": 0.885,
1830
+ "step": 150500
1831
+ },
1832
+ {
1833
+ "epoch": 2.2,
1834
+ "learning_rate": 1.3393939393939395e-05,
1835
+ "loss": 0.8793,
1836
+ "step": 151000
1837
+ },
1838
+ {
1839
+ "epoch": 2.2,
1840
+ "learning_rate": 1.3272727272727273e-05,
1841
+ "loss": 0.8677,
1842
+ "step": 151500
1843
+ },
1844
+ {
1845
+ "epoch": 2.21,
1846
+ "learning_rate": 1.315151515151515e-05,
1847
+ "loss": 0.8783,
1848
+ "step": 152000
1849
+ },
1850
+ {
1851
+ "epoch": 2.22,
1852
+ "learning_rate": 1.3030303030303032e-05,
1853
+ "loss": 0.8702,
1854
+ "step": 152500
1855
+ },
1856
+ {
1857
+ "epoch": 2.23,
1858
+ "learning_rate": 1.290909090909091e-05,
1859
+ "loss": 0.8714,
1860
+ "step": 153000
1861
+ },
1862
+ {
1863
+ "epoch": 2.23,
1864
+ "learning_rate": 1.2787878787878787e-05,
1865
+ "loss": 0.8797,
1866
+ "step": 153500
1867
+ },
1868
+ {
1869
+ "epoch": 2.24,
1870
+ "learning_rate": 1.2666666666666668e-05,
1871
+ "loss": 0.8617,
1872
+ "step": 154000
1873
+ },
1874
+ {
1875
+ "epoch": 2.25,
1876
+ "learning_rate": 1.2545454545454547e-05,
1877
+ "loss": 0.8746,
1878
+ "step": 154500
1879
+ },
1880
+ {
1881
+ "epoch": 2.25,
1882
+ "learning_rate": 1.2424242424242424e-05,
1883
+ "loss": 0.868,
1884
+ "step": 155000
1885
+ },
1886
+ {
1887
+ "epoch": 2.26,
1888
+ "learning_rate": 1.2303030303030304e-05,
1889
+ "loss": 0.8676,
1890
+ "step": 155500
1891
+ },
1892
+ {
1893
+ "epoch": 2.27,
1894
+ "learning_rate": 1.2181818181818182e-05,
1895
+ "loss": 0.8562,
1896
+ "step": 156000
1897
+ },
1898
+ {
1899
+ "epoch": 2.28,
1900
+ "learning_rate": 1.2060606060606062e-05,
1901
+ "loss": 0.8467,
1902
+ "step": 156500
1903
+ },
1904
+ {
1905
+ "epoch": 2.28,
1906
+ "learning_rate": 1.193939393939394e-05,
1907
+ "loss": 0.8588,
1908
+ "step": 157000
1909
+ },
1910
+ {
1911
+ "epoch": 2.29,
1912
+ "learning_rate": 1.1818181818181819e-05,
1913
+ "loss": 0.8715,
1914
+ "step": 157500
1915
+ },
1916
+ {
1917
+ "epoch": 2.3,
1918
+ "learning_rate": 1.1696969696969699e-05,
1919
+ "loss": 0.8486,
1920
+ "step": 158000
1921
+ },
1922
+ {
1923
+ "epoch": 2.31,
1924
+ "learning_rate": 1.1575757575757575e-05,
1925
+ "loss": 0.8546,
1926
+ "step": 158500
1927
+ },
1928
+ {
1929
+ "epoch": 2.31,
1930
+ "learning_rate": 1.1454545454545455e-05,
1931
+ "loss": 0.8556,
1932
+ "step": 159000
1933
+ },
1934
+ {
1935
+ "epoch": 2.32,
1936
+ "learning_rate": 1.1333333333333334e-05,
1937
+ "loss": 0.8471,
1938
+ "step": 159500
1939
+ },
1940
+ {
1941
+ "epoch": 2.33,
1942
+ "learning_rate": 1.1212121212121212e-05,
1943
+ "loss": 0.8617,
1944
+ "step": 160000
1945
+ },
1946
+ {
1947
+ "epoch": 2.33,
1948
+ "learning_rate": 1.1090909090909092e-05,
1949
+ "loss": 0.8625,
1950
+ "step": 160500
1951
+ },
1952
+ {
1953
+ "epoch": 2.34,
1954
+ "learning_rate": 1.096969696969697e-05,
1955
+ "loss": 0.8325,
1956
+ "step": 161000
1957
+ },
1958
+ {
1959
+ "epoch": 2.35,
1960
+ "learning_rate": 1.0848484848484849e-05,
1961
+ "loss": 0.8361,
1962
+ "step": 161500
1963
+ },
1964
+ {
1965
+ "epoch": 2.36,
1966
+ "learning_rate": 1.0727272727272727e-05,
1967
+ "loss": 0.8415,
1968
+ "step": 162000
1969
+ },
1970
+ {
1971
+ "epoch": 2.36,
1972
+ "learning_rate": 1.0606060606060607e-05,
1973
+ "loss": 0.8384,
1974
+ "step": 162500
1975
+ },
1976
+ {
1977
+ "epoch": 2.37,
1978
+ "learning_rate": 1.0484848484848486e-05,
1979
+ "loss": 0.8377,
1980
+ "step": 163000
1981
+ },
1982
+ {
1983
+ "epoch": 2.38,
1984
+ "learning_rate": 1.0363636363636364e-05,
1985
+ "loss": 0.8614,
1986
+ "step": 163500
1987
+ },
1988
+ {
1989
+ "epoch": 2.39,
1990
+ "learning_rate": 1.0242424242424242e-05,
1991
+ "loss": 0.836,
1992
+ "step": 164000
1993
+ },
1994
+ {
1995
+ "epoch": 2.39,
1996
+ "learning_rate": 1.0121212121212122e-05,
1997
+ "loss": 0.8498,
1998
+ "step": 164500
1999
+ },
2000
+ {
2001
+ "epoch": 2.4,
2002
+ "learning_rate": 1e-05,
2003
+ "loss": 0.8287,
2004
+ "step": 165000
2005
+ },
2006
+ {
2007
+ "epoch": 2.41,
2008
+ "learning_rate": 9.87878787878788e-06,
2009
+ "loss": 0.8294,
2010
+ "step": 165500
2011
+ },
2012
+ {
2013
+ "epoch": 2.41,
2014
+ "learning_rate": 9.75757575757576e-06,
2015
+ "loss": 0.836,
2016
+ "step": 166000
2017
+ },
2018
+ {
2019
+ "epoch": 2.42,
2020
+ "learning_rate": 9.636363636363636e-06,
2021
+ "loss": 0.8461,
2022
+ "step": 166500
2023
+ },
2024
+ {
2025
+ "epoch": 2.43,
2026
+ "learning_rate": 9.515151515151516e-06,
2027
+ "loss": 0.8331,
2028
+ "step": 167000
2029
+ },
2030
+ {
2031
+ "epoch": 2.44,
2032
+ "learning_rate": 9.393939393939394e-06,
2033
+ "loss": 0.8283,
2034
+ "step": 167500
2035
+ },
2036
+ {
2037
+ "epoch": 2.44,
2038
+ "learning_rate": 9.272727272727273e-06,
2039
+ "loss": 0.831,
2040
+ "step": 168000
2041
+ },
2042
+ {
2043
+ "epoch": 2.45,
2044
+ "learning_rate": 9.151515151515153e-06,
2045
+ "loss": 0.8443,
2046
+ "step": 168500
2047
+ },
2048
+ {
2049
+ "epoch": 2.46,
2050
+ "learning_rate": 9.030303030303031e-06,
2051
+ "loss": 0.8291,
2052
+ "step": 169000
2053
+ },
2054
+ {
2055
+ "epoch": 2.47,
2056
+ "learning_rate": 8.90909090909091e-06,
2057
+ "loss": 0.83,
2058
+ "step": 169500
2059
+ },
2060
+ {
2061
+ "epoch": 2.47,
2062
+ "learning_rate": 8.787878787878788e-06,
2063
+ "loss": 0.814,
2064
+ "step": 170000
2065
+ },
2066
+ {
2067
+ "epoch": 2.48,
2068
+ "learning_rate": 8.666666666666668e-06,
2069
+ "loss": 0.8187,
2070
+ "step": 170500
2071
+ },
2072
+ {
2073
+ "epoch": 2.49,
2074
+ "learning_rate": 8.545454545454546e-06,
2075
+ "loss": 0.8217,
2076
+ "step": 171000
2077
+ },
2078
+ {
2079
+ "epoch": 2.49,
2080
+ "learning_rate": 8.424242424242425e-06,
2081
+ "loss": 0.8017,
2082
+ "step": 171500
2083
+ },
2084
+ {
2085
+ "epoch": 2.5,
2086
+ "learning_rate": 8.303030303030303e-06,
2087
+ "loss": 0.8359,
2088
+ "step": 172000
2089
+ },
2090
+ {
2091
+ "epoch": 2.51,
2092
+ "learning_rate": 8.181818181818183e-06,
2093
+ "loss": 0.8134,
2094
+ "step": 172500
2095
+ },
2096
+ {
2097
+ "epoch": 2.52,
2098
+ "learning_rate": 8.060606060606061e-06,
2099
+ "loss": 0.8187,
2100
+ "step": 173000
2101
+ },
2102
+ {
2103
+ "epoch": 2.52,
2104
+ "learning_rate": 7.93939393939394e-06,
2105
+ "loss": 0.8198,
2106
+ "step": 173500
2107
+ },
2108
+ {
2109
+ "epoch": 2.53,
2110
+ "learning_rate": 7.81818181818182e-06,
2111
+ "loss": 0.8052,
2112
+ "step": 174000
2113
+ },
2114
+ {
2115
+ "epoch": 2.54,
2116
+ "learning_rate": 7.696969696969696e-06,
2117
+ "loss": 0.7909,
2118
+ "step": 174500
2119
+ },
2120
+ {
2121
+ "epoch": 2.55,
2122
+ "learning_rate": 7.5757575757575764e-06,
2123
+ "loss": 0.8181,
2124
+ "step": 175000
2125
+ },
2126
+ {
2127
+ "epoch": 2.55,
2128
+ "learning_rate": 7.454545454545454e-06,
2129
+ "loss": 0.8195,
2130
+ "step": 175500
2131
+ },
2132
+ {
2133
+ "epoch": 2.56,
2134
+ "learning_rate": 7.333333333333334e-06,
2135
+ "loss": 0.8166,
2136
+ "step": 176000
2137
+ },
2138
+ {
2139
+ "epoch": 2.57,
2140
+ "learning_rate": 7.212121212121213e-06,
2141
+ "loss": 0.8097,
2142
+ "step": 176500
2143
+ },
2144
+ {
2145
+ "epoch": 2.57,
2146
+ "learning_rate": 7.090909090909091e-06,
2147
+ "loss": 0.8263,
2148
+ "step": 177000
2149
+ },
2150
+ {
2151
+ "epoch": 2.58,
2152
+ "learning_rate": 6.969696969696971e-06,
2153
+ "loss": 0.8015,
2154
+ "step": 177500
2155
+ },
2156
+ {
2157
+ "epoch": 2.59,
2158
+ "learning_rate": 6.848484848484848e-06,
2159
+ "loss": 0.825,
2160
+ "step": 178000
2161
+ },
2162
+ {
2163
+ "epoch": 2.6,
2164
+ "learning_rate": 6.727272727272728e-06,
2165
+ "loss": 0.7864,
2166
+ "step": 178500
2167
+ },
2168
+ {
2169
+ "epoch": 2.6,
2170
+ "learning_rate": 6.606060606060606e-06,
2171
+ "loss": 0.7898,
2172
+ "step": 179000
2173
+ },
2174
+ {
2175
+ "epoch": 2.61,
2176
+ "learning_rate": 6.484848484848485e-06,
2177
+ "loss": 0.7985,
2178
+ "step": 179500
2179
+ },
2180
+ {
2181
+ "epoch": 2.62,
2182
+ "learning_rate": 6.363636363636363e-06,
2183
+ "loss": 0.7992,
2184
+ "step": 180000
2185
+ },
2186
+ {
2187
+ "epoch": 2.63,
2188
+ "learning_rate": 6.242424242424243e-06,
2189
+ "loss": 0.7927,
2190
+ "step": 180500
2191
+ },
2192
+ {
2193
+ "epoch": 2.63,
2194
+ "learning_rate": 6.121212121212121e-06,
2195
+ "loss": 0.7837,
2196
+ "step": 181000
2197
+ },
2198
+ {
2199
+ "epoch": 2.64,
2200
+ "learning_rate": 6e-06,
2201
+ "loss": 0.7979,
2202
+ "step": 181500
2203
+ },
2204
+ {
2205
+ "epoch": 2.65,
2206
+ "learning_rate": 5.8787878787878785e-06,
2207
+ "loss": 0.7898,
2208
+ "step": 182000
2209
+ },
2210
+ {
2211
+ "epoch": 2.65,
2212
+ "learning_rate": 5.7575757575757586e-06,
2213
+ "loss": 0.7875,
2214
+ "step": 182500
2215
+ },
2216
+ {
2217
+ "epoch": 2.66,
2218
+ "learning_rate": 5.636363636363637e-06,
2219
+ "loss": 0.785,
2220
+ "step": 183000
2221
+ },
2222
+ {
2223
+ "epoch": 2.67,
2224
+ "learning_rate": 5.515151515151515e-06,
2225
+ "loss": 0.7715,
2226
+ "step": 183500
2227
+ },
2228
+ {
2229
+ "epoch": 2.68,
2230
+ "learning_rate": 5.3939393939393945e-06,
2231
+ "loss": 0.7893,
2232
+ "step": 184000
2233
+ },
2234
+ {
2235
+ "epoch": 2.68,
2236
+ "learning_rate": 5.272727272727273e-06,
2237
+ "loss": 0.7781,
2238
+ "step": 184500
2239
+ },
2240
+ {
2241
+ "epoch": 2.69,
2242
+ "learning_rate": 5.151515151515152e-06,
2243
+ "loss": 0.7806,
2244
+ "step": 185000
2245
+ },
2246
+ {
2247
+ "epoch": 2.7,
2248
+ "learning_rate": 5.03030303030303e-06,
2249
+ "loss": 0.7867,
2250
+ "step": 185500
2251
+ },
2252
+ {
2253
+ "epoch": 2.71,
2254
+ "learning_rate": 4.909090909090909e-06,
2255
+ "loss": 0.7796,
2256
+ "step": 186000
2257
+ },
2258
+ {
2259
+ "epoch": 2.71,
2260
+ "learning_rate": 4.787878787878789e-06,
2261
+ "loss": 0.7635,
2262
+ "step": 186500
2263
+ },
2264
+ {
2265
+ "epoch": 2.72,
2266
+ "learning_rate": 4.666666666666667e-06,
2267
+ "loss": 0.7691,
2268
+ "step": 187000
2269
+ },
2270
+ {
2271
+ "epoch": 2.73,
2272
+ "learning_rate": 4.5454545454545455e-06,
2273
+ "loss": 0.7687,
2274
+ "step": 187500
2275
+ },
2276
+ {
2277
+ "epoch": 2.73,
2278
+ "learning_rate": 4.424242424242425e-06,
2279
+ "loss": 0.7758,
2280
+ "step": 188000
2281
+ },
2282
+ {
2283
+ "epoch": 2.74,
2284
+ "learning_rate": 4.303030303030303e-06,
2285
+ "loss": 0.7522,
2286
+ "step": 188500
2287
+ },
2288
+ {
2289
+ "epoch": 2.75,
2290
+ "learning_rate": 4.181818181818182e-06,
2291
+ "loss": 0.7664,
2292
+ "step": 189000
2293
+ },
2294
+ {
2295
+ "epoch": 2.76,
2296
+ "learning_rate": 4.060606060606061e-06,
2297
+ "loss": 0.7498,
2298
+ "step": 189500
2299
+ },
2300
+ {
2301
+ "epoch": 2.76,
2302
+ "learning_rate": 3.939393939393939e-06,
2303
+ "loss": 0.7549,
2304
+ "step": 190000
2305
+ },
2306
+ {
2307
+ "epoch": 2.77,
2308
+ "learning_rate": 3.818181818181819e-06,
2309
+ "loss": 0.7517,
2310
+ "step": 190500
2311
+ },
2312
+ {
2313
+ "epoch": 2.78,
2314
+ "learning_rate": 3.6969696969696974e-06,
2315
+ "loss": 0.7448,
2316
+ "step": 191000
2317
+ },
2318
+ {
2319
+ "epoch": 2.79,
2320
+ "learning_rate": 3.575757575757576e-06,
2321
+ "loss": 0.7567,
2322
+ "step": 191500
2323
+ },
2324
+ {
2325
+ "epoch": 2.79,
2326
+ "learning_rate": 3.4545454545454545e-06,
2327
+ "loss": 0.7617,
2328
+ "step": 192000
2329
+ },
2330
+ {
2331
+ "epoch": 2.8,
2332
+ "learning_rate": 3.3333333333333333e-06,
2333
+ "loss": 0.7708,
2334
+ "step": 192500
2335
+ },
2336
+ {
2337
+ "epoch": 2.81,
2338
+ "learning_rate": 3.212121212121212e-06,
2339
+ "loss": 0.7508,
2340
+ "step": 193000
2341
+ },
2342
+ {
2343
+ "epoch": 2.81,
2344
+ "learning_rate": 3.0909090909090913e-06,
2345
+ "loss": 0.7575,
2346
+ "step": 193500
2347
+ },
2348
+ {
2349
+ "epoch": 2.82,
2350
+ "learning_rate": 2.96969696969697e-06,
2351
+ "loss": 0.7589,
2352
+ "step": 194000
2353
+ },
2354
+ {
2355
+ "epoch": 2.83,
2356
+ "learning_rate": 2.8484848484848484e-06,
2357
+ "loss": 0.7579,
2358
+ "step": 194500
2359
+ },
2360
+ {
2361
+ "epoch": 2.84,
2362
+ "learning_rate": 2.7272727272727272e-06,
2363
+ "loss": 0.7557,
2364
+ "step": 195000
2365
+ },
2366
+ {
2367
+ "epoch": 2.84,
2368
+ "learning_rate": 2.6060606060606064e-06,
2369
+ "loss": 0.7506,
2370
+ "step": 195500
2371
+ },
2372
+ {
2373
+ "epoch": 2.85,
2374
+ "learning_rate": 2.484848484848485e-06,
2375
+ "loss": 0.771,
2376
+ "step": 196000
2377
+ },
2378
+ {
2379
+ "epoch": 2.86,
2380
+ "learning_rate": 2.3636363636363636e-06,
2381
+ "loss": 0.7393,
2382
+ "step": 196500
2383
+ },
2384
+ {
2385
+ "epoch": 2.87,
2386
+ "learning_rate": 2.2424242424242423e-06,
2387
+ "loss": 0.7489,
2388
+ "step": 197000
2389
+ },
2390
+ {
2391
+ "epoch": 2.87,
2392
+ "learning_rate": 2.1212121212121216e-06,
2393
+ "loss": 0.7467,
2394
+ "step": 197500
2395
+ },
2396
+ {
2397
+ "epoch": 2.88,
2398
+ "learning_rate": 2.0000000000000003e-06,
2399
+ "loss": 0.7489,
2400
+ "step": 198000
2401
+ },
2402
+ {
2403
+ "epoch": 2.89,
2404
+ "learning_rate": 1.878787878787879e-06,
2405
+ "loss": 0.7469,
2406
+ "step": 198500
2407
+ },
2408
+ {
2409
+ "epoch": 2.89,
2410
+ "learning_rate": 1.7575757575757575e-06,
2411
+ "loss": 0.7421,
2412
+ "step": 199000
2413
+ },
2414
+ {
2415
+ "epoch": 2.9,
2416
+ "learning_rate": 1.6363636363636367e-06,
2417
+ "loss": 0.7514,
2418
+ "step": 199500
2419
+ },
2420
+ {
2421
+ "epoch": 2.91,
2422
+ "learning_rate": 1.5151515151515152e-06,
2423
+ "loss": 0.75,
2424
+ "step": 200000
2425
+ },
2426
+ {
2427
+ "epoch": 2.92,
2428
+ "learning_rate": 1.393939393939394e-06,
2429
+ "loss": 0.7481,
2430
+ "step": 200500
2431
+ },
2432
+ {
2433
+ "epoch": 2.92,
2434
+ "learning_rate": 1.2727272727272728e-06,
2435
+ "loss": 0.7357,
2436
+ "step": 201000
2437
+ },
2438
+ {
2439
+ "epoch": 2.93,
2440
+ "learning_rate": 1.1515151515151516e-06,
2441
+ "loss": 0.7467,
2442
+ "step": 201500
2443
+ },
2444
+ {
2445
+ "epoch": 2.94,
2446
+ "learning_rate": 1.0303030303030304e-06,
2447
+ "loss": 0.7441,
2448
+ "step": 202000
2449
+ },
2450
+ {
2451
+ "epoch": 2.95,
2452
+ "learning_rate": 9.09090909090909e-07,
2453
+ "loss": 0.7428,
2454
+ "step": 202500
2455
+ },
2456
+ {
2457
+ "epoch": 2.95,
2458
+ "learning_rate": 7.878787878787879e-07,
2459
+ "loss": 0.7405,
2460
+ "step": 203000
2461
+ },
2462
+ {
2463
+ "epoch": 2.96,
2464
+ "learning_rate": 6.666666666666667e-07,
2465
+ "loss": 0.7483,
2466
+ "step": 203500
2467
+ },
2468
+ {
2469
+ "epoch": 2.97,
2470
+ "learning_rate": 5.454545454545455e-07,
2471
+ "loss": 0.7336,
2472
+ "step": 204000
2473
+ },
2474
+ {
2475
+ "epoch": 2.97,
2476
+ "learning_rate": 4.242424242424243e-07,
2477
+ "loss": 0.7378,
2478
+ "step": 204500
2479
+ },
2480
+ {
2481
+ "epoch": 2.98,
2482
+ "learning_rate": 3.0303030303030305e-07,
2483
+ "loss": 0.744,
2484
+ "step": 205000
2485
+ },
2486
+ {
2487
+ "epoch": 2.99,
2488
+ "learning_rate": 1.8181818181818183e-07,
2489
+ "loss": 0.7353,
2490
+ "step": 205500
2491
+ },
2492
+ {
2493
+ "epoch": 3.0,
2494
+ "learning_rate": 6.060606060606061e-08,
2495
+ "loss": 0.7653,
2496
+ "step": 206000
2497
+ },
2498
+ {
2499
+ "epoch": 3.0,
2500
+ "eval_loss": 1.1062601804733276,
2501
+ "eval_runtime": 1264.7443,
2502
+ "eval_samples_per_second": 94.881,
2503
+ "eval_steps_per_second": 2.965,
2504
+ "step": 206250
2505
+ },
2506
+ {
2507
+ "epoch": 3.0,
2508
+ "step": 206250,
2509
+ "total_flos": 6.62657819292053e+17,
2510
+ "train_loss": 1.3104234486712831,
2511
+ "train_runtime": 131784.1208,
2512
+ "train_samples_per_second": 50.082,
2513
+ "train_steps_per_second": 1.565
2514
+ }
2515
+ ],
2516
+ "max_steps": 206250,
2517
+ "num_train_epochs": 3,
2518
+ "total_flos": 6.62657819292053e+17,
2519
+ "trial_name": null,
2520
+ "trial_params": null
2521
+ }
vocab.txt ADDED
The diff for this file is too large to render. See raw diff