HannahRoseKirk
commited on
Commit
•
9d7bff3
1
Parent(s):
b78c388
First model version
Browse files- .DS_Store +0 -0
- config.json +31 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- requirements.txt +1 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- trainer_state.json +885 -0
- training_args.bin +3 -0
- vocab.json +0 -0
.DS_Store
ADDED
Binary file (6.15 kB). View file
|
|
config.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "microsoft/deberta-base",
|
3 |
+
"architectures": [
|
4 |
+
"DebertaForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"hidden_act": "gelu",
|
8 |
+
"hidden_dropout_prob": 0.1,
|
9 |
+
"hidden_size": 768,
|
10 |
+
"initializer_range": 0.02,
|
11 |
+
"intermediate_size": 3072,
|
12 |
+
"layer_norm_eps": 1e-07,
|
13 |
+
"max_position_embeddings": 512,
|
14 |
+
"max_relative_positions": -1,
|
15 |
+
"model_type": "deberta",
|
16 |
+
"num_attention_heads": 12,
|
17 |
+
"num_hidden_layers": 12,
|
18 |
+
"pad_token_id": 0,
|
19 |
+
"pooler_dropout": 0,
|
20 |
+
"pooler_hidden_act": "gelu",
|
21 |
+
"pooler_hidden_size": 768,
|
22 |
+
"pos_att_type": [
|
23 |
+
"c2p",
|
24 |
+
"p2c"
|
25 |
+
],
|
26 |
+
"position_biased_input": false,
|
27 |
+
"relative_attention": true,
|
28 |
+
"transformers_version": "4.7.0.dev0",
|
29 |
+
"type_vocab_size": 0,
|
30 |
+
"vocab_size": 50265
|
31 |
+
}
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b34a7d65c3a3eb10ec013123d2845d0cc6d7a1ead9862309725baa8423b315e2
|
3 |
+
size 556866752
|
requirements.txt
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
transformers
|
special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"bos_token": {"content": "[CLS]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "eos_token": {"content": "[SEP]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "unk_token": {"content": "[UNK]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "sep_token": {"content": "[SEP]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "pad_token": {"content": "[PAD]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "cls_token": {"content": "[CLS]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true}, "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true}}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"unk_token": {"content": "[UNK]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "[CLS]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "[SEP]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "errors": "replace", "sep_token": {"content": "[SEP]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "cls_token": {"content": "[CLS]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "pad_token": {"content": "[PAD]", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "do_lower_case": false, "vocab_type": "gpt2", "model_max_length": 512, "name_or_path": "microsoft/deberta-base"}
|
trainer_state.json
ADDED
@@ -0,0 +1,885 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.7949723601341248,
|
3 |
+
"best_model_checkpoint": "/jmain02/home/J2AD002/jxm09/hrk35-jxm09/hatemoji_r7_data/output/hs_data--prior_rounds--r7--5/deberta123/checkpoint-46574",
|
4 |
+
"epoch": 3.0,
|
5 |
+
"global_step": 69861,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.02,
|
12 |
+
"learning_rate": 1.9856858619258244e-05,
|
13 |
+
"loss": 0.53,
|
14 |
+
"step": 500
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.04,
|
18 |
+
"learning_rate": 1.9713717238516486e-05,
|
19 |
+
"loss": 0.308,
|
20 |
+
"step": 1000
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.06,
|
24 |
+
"learning_rate": 1.9570575857774725e-05,
|
25 |
+
"loss": 0.2211,
|
26 |
+
"step": 1500
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.09,
|
30 |
+
"learning_rate": 1.9427434477032967e-05,
|
31 |
+
"loss": 0.1787,
|
32 |
+
"step": 2000
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.11,
|
36 |
+
"learning_rate": 1.928429309629121e-05,
|
37 |
+
"loss": 0.1482,
|
38 |
+
"step": 2500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.13,
|
42 |
+
"learning_rate": 1.914115171554945e-05,
|
43 |
+
"loss": 0.1392,
|
44 |
+
"step": 3000
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.15,
|
48 |
+
"learning_rate": 1.899801033480769e-05,
|
49 |
+
"loss": 0.1246,
|
50 |
+
"step": 3500
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.17,
|
54 |
+
"learning_rate": 1.8854868954065932e-05,
|
55 |
+
"loss": 0.1191,
|
56 |
+
"step": 4000
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.19,
|
60 |
+
"learning_rate": 1.8711727573324174e-05,
|
61 |
+
"loss": 0.115,
|
62 |
+
"step": 4500
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.21,
|
66 |
+
"learning_rate": 1.8568586192582416e-05,
|
67 |
+
"loss": 0.1038,
|
68 |
+
"step": 5000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.24,
|
72 |
+
"learning_rate": 1.8425444811840655e-05,
|
73 |
+
"loss": 0.098,
|
74 |
+
"step": 5500
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.26,
|
78 |
+
"learning_rate": 1.8282303431098897e-05,
|
79 |
+
"loss": 0.1044,
|
80 |
+
"step": 6000
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.28,
|
84 |
+
"learning_rate": 1.813916205035714e-05,
|
85 |
+
"loss": 0.1011,
|
86 |
+
"step": 6500
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.3,
|
90 |
+
"learning_rate": 1.799602066961538e-05,
|
91 |
+
"loss": 0.0935,
|
92 |
+
"step": 7000
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.32,
|
96 |
+
"learning_rate": 1.785287928887362e-05,
|
97 |
+
"loss": 0.0926,
|
98 |
+
"step": 7500
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.34,
|
102 |
+
"learning_rate": 1.7709737908131862e-05,
|
103 |
+
"loss": 0.095,
|
104 |
+
"step": 8000
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.37,
|
108 |
+
"learning_rate": 1.7566596527390104e-05,
|
109 |
+
"loss": 0.0863,
|
110 |
+
"step": 8500
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.39,
|
114 |
+
"learning_rate": 1.7423455146648346e-05,
|
115 |
+
"loss": 0.0886,
|
116 |
+
"step": 9000
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.41,
|
120 |
+
"learning_rate": 1.7280313765906588e-05,
|
121 |
+
"loss": 0.0876,
|
122 |
+
"step": 9500
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.43,
|
126 |
+
"learning_rate": 1.713717238516483e-05,
|
127 |
+
"loss": 0.089,
|
128 |
+
"step": 10000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.45,
|
132 |
+
"learning_rate": 1.699403100442307e-05,
|
133 |
+
"loss": 0.0871,
|
134 |
+
"step": 10500
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.47,
|
138 |
+
"learning_rate": 1.685088962368131e-05,
|
139 |
+
"loss": 0.0874,
|
140 |
+
"step": 11000
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.49,
|
144 |
+
"learning_rate": 1.6707748242939553e-05,
|
145 |
+
"loss": 0.0802,
|
146 |
+
"step": 11500
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.52,
|
150 |
+
"learning_rate": 1.6564606862197795e-05,
|
151 |
+
"loss": 0.0826,
|
152 |
+
"step": 12000
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.54,
|
156 |
+
"learning_rate": 1.6421465481456037e-05,
|
157 |
+
"loss": 0.08,
|
158 |
+
"step": 12500
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.56,
|
162 |
+
"learning_rate": 1.627832410071428e-05,
|
163 |
+
"loss": 0.081,
|
164 |
+
"step": 13000
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.58,
|
168 |
+
"learning_rate": 1.6135182719972518e-05,
|
169 |
+
"loss": 0.0798,
|
170 |
+
"step": 13500
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.6,
|
174 |
+
"learning_rate": 1.599204133923076e-05,
|
175 |
+
"loss": 0.0813,
|
176 |
+
"step": 14000
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.62,
|
180 |
+
"learning_rate": 1.5848899958489002e-05,
|
181 |
+
"loss": 0.0779,
|
182 |
+
"step": 14500
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.64,
|
186 |
+
"learning_rate": 1.5705758577747244e-05,
|
187 |
+
"loss": 0.0769,
|
188 |
+
"step": 15000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.67,
|
192 |
+
"learning_rate": 1.5562617197005483e-05,
|
193 |
+
"loss": 0.0817,
|
194 |
+
"step": 15500
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.69,
|
198 |
+
"learning_rate": 1.5419475816263725e-05,
|
199 |
+
"loss": 0.0765,
|
200 |
+
"step": 16000
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.71,
|
204 |
+
"learning_rate": 1.5276334435521967e-05,
|
205 |
+
"loss": 0.0784,
|
206 |
+
"step": 16500
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.73,
|
210 |
+
"learning_rate": 1.5133193054780208e-05,
|
211 |
+
"loss": 0.0763,
|
212 |
+
"step": 17000
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.75,
|
216 |
+
"learning_rate": 1.4990051674038448e-05,
|
217 |
+
"loss": 0.0795,
|
218 |
+
"step": 17500
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.77,
|
222 |
+
"learning_rate": 1.484691029329669e-05,
|
223 |
+
"loss": 0.0758,
|
224 |
+
"step": 18000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.79,
|
228 |
+
"learning_rate": 1.4703768912554932e-05,
|
229 |
+
"loss": 0.0748,
|
230 |
+
"step": 18500
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.82,
|
234 |
+
"learning_rate": 1.4560627531813175e-05,
|
235 |
+
"loss": 0.0741,
|
236 |
+
"step": 19000
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.84,
|
240 |
+
"learning_rate": 1.4417486151071413e-05,
|
241 |
+
"loss": 0.0726,
|
242 |
+
"step": 19500
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.86,
|
246 |
+
"learning_rate": 1.4274344770329655e-05,
|
247 |
+
"loss": 0.0752,
|
248 |
+
"step": 20000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.88,
|
252 |
+
"learning_rate": 1.4131203389587897e-05,
|
253 |
+
"loss": 0.0746,
|
254 |
+
"step": 20500
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.9,
|
258 |
+
"learning_rate": 1.398806200884614e-05,
|
259 |
+
"loss": 0.0733,
|
260 |
+
"step": 21000
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.92,
|
264 |
+
"learning_rate": 1.3844920628104378e-05,
|
265 |
+
"loss": 0.071,
|
266 |
+
"step": 21500
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.94,
|
270 |
+
"learning_rate": 1.370177924736262e-05,
|
271 |
+
"loss": 0.0745,
|
272 |
+
"step": 22000
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.97,
|
276 |
+
"learning_rate": 1.3558637866620862e-05,
|
277 |
+
"loss": 0.0751,
|
278 |
+
"step": 22500
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.99,
|
282 |
+
"learning_rate": 1.3415496485879105e-05,
|
283 |
+
"loss": 0.0722,
|
284 |
+
"step": 23000
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 1.0,
|
288 |
+
"eval_accuracy": 0.8151779770851135,
|
289 |
+
"eval_loss": 0.8366696834564209,
|
290 |
+
"eval_runtime": 23.897,
|
291 |
+
"eval_samples_per_second": 196.301,
|
292 |
+
"eval_steps_per_second": 3.097,
|
293 |
+
"step": 23287
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 1.01,
|
297 |
+
"learning_rate": 1.3272355105137345e-05,
|
298 |
+
"loss": 0.0662,
|
299 |
+
"step": 23500
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 1.03,
|
303 |
+
"learning_rate": 1.3129213724395587e-05,
|
304 |
+
"loss": 0.0602,
|
305 |
+
"step": 24000
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 1.05,
|
309 |
+
"learning_rate": 1.2986072343653827e-05,
|
310 |
+
"loss": 0.0619,
|
311 |
+
"step": 24500
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 1.07,
|
315 |
+
"learning_rate": 1.284293096291207e-05,
|
316 |
+
"loss": 0.0583,
|
317 |
+
"step": 25000
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 1.1,
|
321 |
+
"learning_rate": 1.269978958217031e-05,
|
322 |
+
"loss": 0.0586,
|
323 |
+
"step": 25500
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 1.12,
|
327 |
+
"learning_rate": 1.2556648201428552e-05,
|
328 |
+
"loss": 0.0585,
|
329 |
+
"step": 26000
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 1.14,
|
333 |
+
"learning_rate": 1.2413506820686794e-05,
|
334 |
+
"loss": 0.059,
|
335 |
+
"step": 26500
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 1.16,
|
339 |
+
"learning_rate": 1.2270365439945036e-05,
|
340 |
+
"loss": 0.0575,
|
341 |
+
"step": 27000
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 1.18,
|
345 |
+
"learning_rate": 1.2127224059203275e-05,
|
346 |
+
"loss": 0.0596,
|
347 |
+
"step": 27500
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 1.2,
|
351 |
+
"learning_rate": 1.1984082678461517e-05,
|
352 |
+
"loss": 0.0595,
|
353 |
+
"step": 28000
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 1.22,
|
357 |
+
"learning_rate": 1.184094129771976e-05,
|
358 |
+
"loss": 0.0588,
|
359 |
+
"step": 28500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 1.25,
|
363 |
+
"learning_rate": 1.1697799916978001e-05,
|
364 |
+
"loss": 0.0593,
|
365 |
+
"step": 29000
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 1.27,
|
369 |
+
"learning_rate": 1.155465853623624e-05,
|
370 |
+
"loss": 0.0612,
|
371 |
+
"step": 29500
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 1.29,
|
375 |
+
"learning_rate": 1.1411517155494482e-05,
|
376 |
+
"loss": 0.059,
|
377 |
+
"step": 30000
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 1.31,
|
381 |
+
"learning_rate": 1.1268375774752724e-05,
|
382 |
+
"loss": 0.0566,
|
383 |
+
"step": 30500
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 1.33,
|
387 |
+
"learning_rate": 1.1125234394010966e-05,
|
388 |
+
"loss": 0.0589,
|
389 |
+
"step": 31000
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 1.35,
|
393 |
+
"learning_rate": 1.0982093013269207e-05,
|
394 |
+
"loss": 0.0601,
|
395 |
+
"step": 31500
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 1.37,
|
399 |
+
"learning_rate": 1.0838951632527447e-05,
|
400 |
+
"loss": 0.0601,
|
401 |
+
"step": 32000
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 1.4,
|
405 |
+
"learning_rate": 1.069581025178569e-05,
|
406 |
+
"loss": 0.0595,
|
407 |
+
"step": 32500
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 1.42,
|
411 |
+
"learning_rate": 1.0552668871043931e-05,
|
412 |
+
"loss": 0.0603,
|
413 |
+
"step": 33000
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 1.44,
|
417 |
+
"learning_rate": 1.0409527490302172e-05,
|
418 |
+
"loss": 0.0571,
|
419 |
+
"step": 33500
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 1.46,
|
423 |
+
"learning_rate": 1.0266386109560414e-05,
|
424 |
+
"loss": 0.0587,
|
425 |
+
"step": 34000
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 1.48,
|
429 |
+
"learning_rate": 1.0123244728818656e-05,
|
430 |
+
"loss": 0.0565,
|
431 |
+
"step": 34500
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 1.5,
|
435 |
+
"learning_rate": 9.980103348076896e-06,
|
436 |
+
"loss": 0.0579,
|
437 |
+
"step": 35000
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 1.52,
|
441 |
+
"learning_rate": 9.836961967335139e-06,
|
442 |
+
"loss": 0.0619,
|
443 |
+
"step": 35500
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 1.55,
|
447 |
+
"learning_rate": 9.693820586593379e-06,
|
448 |
+
"loss": 0.0563,
|
449 |
+
"step": 36000
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 1.57,
|
453 |
+
"learning_rate": 9.550679205851621e-06,
|
454 |
+
"loss": 0.0548,
|
455 |
+
"step": 36500
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 1.59,
|
459 |
+
"learning_rate": 9.407537825109861e-06,
|
460 |
+
"loss": 0.0581,
|
461 |
+
"step": 37000
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 1.61,
|
465 |
+
"learning_rate": 9.264396444368104e-06,
|
466 |
+
"loss": 0.0568,
|
467 |
+
"step": 37500
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 1.63,
|
471 |
+
"learning_rate": 9.121255063626344e-06,
|
472 |
+
"loss": 0.055,
|
473 |
+
"step": 38000
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 1.65,
|
477 |
+
"learning_rate": 8.978113682884586e-06,
|
478 |
+
"loss": 0.0598,
|
479 |
+
"step": 38500
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 1.67,
|
483 |
+
"learning_rate": 8.834972302142826e-06,
|
484 |
+
"loss": 0.0597,
|
485 |
+
"step": 39000
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 1.7,
|
489 |
+
"learning_rate": 8.691830921401069e-06,
|
490 |
+
"loss": 0.058,
|
491 |
+
"step": 39500
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 1.72,
|
495 |
+
"learning_rate": 8.548689540659309e-06,
|
496 |
+
"loss": 0.0554,
|
497 |
+
"step": 40000
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 1.74,
|
501 |
+
"learning_rate": 8.405548159917551e-06,
|
502 |
+
"loss": 0.0563,
|
503 |
+
"step": 40500
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 1.76,
|
507 |
+
"learning_rate": 8.262406779175792e-06,
|
508 |
+
"loss": 0.0571,
|
509 |
+
"step": 41000
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 1.78,
|
513 |
+
"learning_rate": 8.119265398434034e-06,
|
514 |
+
"loss": 0.0579,
|
515 |
+
"step": 41500
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 1.8,
|
519 |
+
"learning_rate": 7.976124017692276e-06,
|
520 |
+
"loss": 0.0564,
|
521 |
+
"step": 42000
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 1.83,
|
525 |
+
"learning_rate": 7.832982636950516e-06,
|
526 |
+
"loss": 0.0577,
|
527 |
+
"step": 42500
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 1.85,
|
531 |
+
"learning_rate": 7.689841256208758e-06,
|
532 |
+
"loss": 0.0568,
|
533 |
+
"step": 43000
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 1.87,
|
537 |
+
"learning_rate": 7.5466998754669995e-06,
|
538 |
+
"loss": 0.0596,
|
539 |
+
"step": 43500
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 1.89,
|
543 |
+
"learning_rate": 7.403558494725241e-06,
|
544 |
+
"loss": 0.057,
|
545 |
+
"step": 44000
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 1.91,
|
549 |
+
"learning_rate": 7.260417113983482e-06,
|
550 |
+
"loss": 0.0579,
|
551 |
+
"step": 44500
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 1.93,
|
555 |
+
"learning_rate": 7.117275733241723e-06,
|
556 |
+
"loss": 0.0561,
|
557 |
+
"step": 45000
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 1.95,
|
561 |
+
"learning_rate": 6.9741343524999645e-06,
|
562 |
+
"loss": 0.0548,
|
563 |
+
"step": 45500
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 1.98,
|
567 |
+
"learning_rate": 6.830992971758206e-06,
|
568 |
+
"loss": 0.0571,
|
569 |
+
"step": 46000
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 2.0,
|
573 |
+
"learning_rate": 6.687851591016448e-06,
|
574 |
+
"loss": 0.055,
|
575 |
+
"step": 46500
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 2.0,
|
579 |
+
"eval_accuracy": 0.8311660885810852,
|
580 |
+
"eval_loss": 0.7949723601341248,
|
581 |
+
"eval_runtime": 27.7911,
|
582 |
+
"eval_samples_per_second": 168.795,
|
583 |
+
"eval_steps_per_second": 2.663,
|
584 |
+
"step": 46574
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 2.02,
|
588 |
+
"learning_rate": 6.544710210274688e-06,
|
589 |
+
"loss": 0.0471,
|
590 |
+
"step": 47000
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 2.04,
|
594 |
+
"learning_rate": 6.40156882953293e-06,
|
595 |
+
"loss": 0.0435,
|
596 |
+
"step": 47500
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 2.06,
|
600 |
+
"learning_rate": 6.258427448791171e-06,
|
601 |
+
"loss": 0.043,
|
602 |
+
"step": 48000
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 2.08,
|
606 |
+
"learning_rate": 6.115286068049413e-06,
|
607 |
+
"loss": 0.0431,
|
608 |
+
"step": 48500
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 2.1,
|
612 |
+
"learning_rate": 5.972144687307654e-06,
|
613 |
+
"loss": 0.0433,
|
614 |
+
"step": 49000
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 2.13,
|
618 |
+
"learning_rate": 5.8290033065658954e-06,
|
619 |
+
"loss": 0.0442,
|
620 |
+
"step": 49500
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 2.15,
|
624 |
+
"learning_rate": 5.685861925824137e-06,
|
625 |
+
"loss": 0.0447,
|
626 |
+
"step": 50000
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 2.17,
|
630 |
+
"learning_rate": 5.542720545082379e-06,
|
631 |
+
"loss": 0.0454,
|
632 |
+
"step": 50500
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 2.19,
|
636 |
+
"learning_rate": 5.399579164340619e-06,
|
637 |
+
"loss": 0.0441,
|
638 |
+
"step": 51000
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 2.21,
|
642 |
+
"learning_rate": 5.256437783598861e-06,
|
643 |
+
"loss": 0.0441,
|
644 |
+
"step": 51500
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 2.23,
|
648 |
+
"learning_rate": 5.113296402857102e-06,
|
649 |
+
"loss": 0.0444,
|
650 |
+
"step": 52000
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 2.25,
|
654 |
+
"learning_rate": 4.970155022115344e-06,
|
655 |
+
"loss": 0.0435,
|
656 |
+
"step": 52500
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 2.28,
|
660 |
+
"learning_rate": 4.827013641373585e-06,
|
661 |
+
"loss": 0.0445,
|
662 |
+
"step": 53000
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 2.3,
|
666 |
+
"learning_rate": 4.683872260631826e-06,
|
667 |
+
"loss": 0.041,
|
668 |
+
"step": 53500
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 2.32,
|
672 |
+
"learning_rate": 4.540730879890068e-06,
|
673 |
+
"loss": 0.0461,
|
674 |
+
"step": 54000
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 2.34,
|
678 |
+
"learning_rate": 4.397589499148309e-06,
|
679 |
+
"loss": 0.0421,
|
680 |
+
"step": 54500
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 2.36,
|
684 |
+
"learning_rate": 4.254448118406551e-06,
|
685 |
+
"loss": 0.0423,
|
686 |
+
"step": 55000
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 2.38,
|
690 |
+
"learning_rate": 4.111306737664792e-06,
|
691 |
+
"loss": 0.0448,
|
692 |
+
"step": 55500
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 2.4,
|
696 |
+
"learning_rate": 3.9681653569230335e-06,
|
697 |
+
"loss": 0.0447,
|
698 |
+
"step": 56000
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 2.43,
|
702 |
+
"learning_rate": 3.825023976181275e-06,
|
703 |
+
"loss": 0.0461,
|
704 |
+
"step": 56500
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 2.45,
|
708 |
+
"learning_rate": 3.681882595439516e-06,
|
709 |
+
"loss": 0.0444,
|
710 |
+
"step": 57000
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 2.47,
|
714 |
+
"learning_rate": 3.5387412146977573e-06,
|
715 |
+
"loss": 0.0431,
|
716 |
+
"step": 57500
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 2.49,
|
720 |
+
"learning_rate": 3.3955998339559985e-06,
|
721 |
+
"loss": 0.042,
|
722 |
+
"step": 58000
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 2.51,
|
726 |
+
"learning_rate": 3.25245845321424e-06,
|
727 |
+
"loss": 0.0415,
|
728 |
+
"step": 58500
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 2.53,
|
732 |
+
"learning_rate": 3.1093170724724815e-06,
|
733 |
+
"loss": 0.0433,
|
734 |
+
"step": 59000
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 2.56,
|
738 |
+
"learning_rate": 2.9661756917307227e-06,
|
739 |
+
"loss": 0.0422,
|
740 |
+
"step": 59500
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 2.58,
|
744 |
+
"learning_rate": 2.823034310988964e-06,
|
745 |
+
"loss": 0.0389,
|
746 |
+
"step": 60000
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 2.6,
|
750 |
+
"learning_rate": 2.6798929302472052e-06,
|
751 |
+
"loss": 0.0424,
|
752 |
+
"step": 60500
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 2.62,
|
756 |
+
"learning_rate": 2.536751549505447e-06,
|
757 |
+
"loss": 0.0397,
|
758 |
+
"step": 61000
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 2.64,
|
762 |
+
"learning_rate": 2.393610168763688e-06,
|
763 |
+
"loss": 0.044,
|
764 |
+
"step": 61500
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 2.66,
|
768 |
+
"learning_rate": 2.2504687880219294e-06,
|
769 |
+
"loss": 0.0443,
|
770 |
+
"step": 62000
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 2.68,
|
774 |
+
"learning_rate": 2.1073274072801707e-06,
|
775 |
+
"loss": 0.0414,
|
776 |
+
"step": 62500
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 2.71,
|
780 |
+
"learning_rate": 1.9641860265384124e-06,
|
781 |
+
"loss": 0.041,
|
782 |
+
"step": 63000
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 2.73,
|
786 |
+
"learning_rate": 1.8210446457966536e-06,
|
787 |
+
"loss": 0.0389,
|
788 |
+
"step": 63500
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 2.75,
|
792 |
+
"learning_rate": 1.6779032650548949e-06,
|
793 |
+
"loss": 0.0433,
|
794 |
+
"step": 64000
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 2.77,
|
798 |
+
"learning_rate": 1.5347618843131361e-06,
|
799 |
+
"loss": 0.0417,
|
800 |
+
"step": 64500
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 2.79,
|
804 |
+
"learning_rate": 1.3916205035713776e-06,
|
805 |
+
"loss": 0.0416,
|
806 |
+
"step": 65000
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 2.81,
|
810 |
+
"learning_rate": 1.2484791228296189e-06,
|
811 |
+
"loss": 0.0424,
|
812 |
+
"step": 65500
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 2.83,
|
816 |
+
"learning_rate": 1.1053377420878603e-06,
|
817 |
+
"loss": 0.0431,
|
818 |
+
"step": 66000
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 2.86,
|
822 |
+
"learning_rate": 9.621963613461016e-07,
|
823 |
+
"loss": 0.0417,
|
824 |
+
"step": 66500
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 2.88,
|
828 |
+
"learning_rate": 8.19054980604343e-07,
|
829 |
+
"loss": 0.0418,
|
830 |
+
"step": 67000
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 2.9,
|
834 |
+
"learning_rate": 6.759135998625843e-07,
|
835 |
+
"loss": 0.0399,
|
836 |
+
"step": 67500
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 2.92,
|
840 |
+
"learning_rate": 5.327722191208257e-07,
|
841 |
+
"loss": 0.0416,
|
842 |
+
"step": 68000
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 2.94,
|
846 |
+
"learning_rate": 3.89630838379067e-07,
|
847 |
+
"loss": 0.0424,
|
848 |
+
"step": 68500
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 2.96,
|
852 |
+
"learning_rate": 2.464894576373084e-07,
|
853 |
+
"loss": 0.0418,
|
854 |
+
"step": 69000
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 2.98,
|
858 |
+
"learning_rate": 1.0334807689554974e-07,
|
859 |
+
"loss": 0.0399,
|
860 |
+
"step": 69500
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 3.0,
|
864 |
+
"eval_accuracy": 0.8266894221305847,
|
865 |
+
"eval_loss": 0.950989842414856,
|
866 |
+
"eval_runtime": 23.2697,
|
867 |
+
"eval_samples_per_second": 201.593,
|
868 |
+
"eval_steps_per_second": 3.18,
|
869 |
+
"step": 69861
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 3.0,
|
873 |
+
"step": 69861,
|
874 |
+
"total_flos": 1.9117803270808904e+18,
|
875 |
+
"train_runtime": 54665.4444,
|
876 |
+
"train_samples_per_second": 81.787,
|
877 |
+
"train_steps_per_second": 1.278
|
878 |
+
}
|
879 |
+
],
|
880 |
+
"max_steps": 69861,
|
881 |
+
"num_train_epochs": 3,
|
882 |
+
"total_flos": 1.9117803270808904e+18,
|
883 |
+
"trial_name": null,
|
884 |
+
"trial_params": null
|
885 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:46e4f52766da5b0c57d3e7e5174aa9776f1013a63ea0ff59b90f33c7dd16f3b7
|
3 |
+
size 2543
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|