Md Mushfiqur Rahman
commited on
Commit
•
ecb4421
1
Parent(s):
5ff64ca
Upload with huggingface_hub
Browse files- README.md +15 -0
- all_results.json +20 -0
- config.json +64 -0
- eval_predictions.csv +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- test_predictions.csv +0 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- trainer_state.json +376 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
tags:
|
4 |
+
- canine
|
5 |
+
- pretrained-on-english-language
|
6 |
+
---
|
7 |
+
|
8 |
+
### How to use
|
9 |
+
|
10 |
+
Here is how to use this model:
|
11 |
+
|
12 |
+
```python
|
13 |
+
from transformers import CanineModel
|
14 |
+
model = CanineModel.from_pretrained('mushfiqur11/<repo name>')
|
15 |
+
```
|
all_results.json
ADDED
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 20.36,
|
3 |
+
"eval_accuracy": 0.8855701147554326,
|
4 |
+
"eval_loss": 0.43164435029029846,
|
5 |
+
"eval_runtime": 2.6136,
|
6 |
+
"eval_samples": 507,
|
7 |
+
"eval_samples_per_second": 193.985,
|
8 |
+
"eval_steps_per_second": 24.487,
|
9 |
+
"test_accuracy": 0.875556237532607,
|
10 |
+
"test_loss": 0.48223212361335754,
|
11 |
+
"test_runtime": 2.807,
|
12 |
+
"test_samples": 543,
|
13 |
+
"test_samples_per_second": 193.444,
|
14 |
+
"test_steps_per_second": 24.225,
|
15 |
+
"train_loss": 0.20138724523120458,
|
16 |
+
"train_runtime": 1165.6408,
|
17 |
+
"train_samples": 7050,
|
18 |
+
"train_samples_per_second": 411.791,
|
19 |
+
"train_steps_per_second": 12.868
|
20 |
+
}
|
config.json
ADDED
@@ -0,0 +1,64 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "bert-base-cased",
|
3 |
+
"architectures": [
|
4 |
+
"BertForTokenClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"classifier_dropout": null,
|
8 |
+
"gradient_checkpointing": false,
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.1,
|
11 |
+
"hidden_size": 768,
|
12 |
+
"id2label": {
|
13 |
+
"0": "ADJ",
|
14 |
+
"1": "ADP",
|
15 |
+
"2": "ADV",
|
16 |
+
"3": "AUX",
|
17 |
+
"4": "CCONJ",
|
18 |
+
"5": "DET",
|
19 |
+
"6": "INTJ",
|
20 |
+
"7": "NOUN",
|
21 |
+
"8": "NUM",
|
22 |
+
"9": "PART",
|
23 |
+
"10": "PRON",
|
24 |
+
"11": "PROPN",
|
25 |
+
"12": "PUNCT",
|
26 |
+
"13": "SCONJ",
|
27 |
+
"14": "SYM",
|
28 |
+
"15": "VERB",
|
29 |
+
"16": "X"
|
30 |
+
},
|
31 |
+
"initializer_range": 0.02,
|
32 |
+
"intermediate_size": 3072,
|
33 |
+
"label2id": {
|
34 |
+
"ADJ": 0,
|
35 |
+
"ADP": 1,
|
36 |
+
"ADV": 2,
|
37 |
+
"AUX": 3,
|
38 |
+
"CCONJ": 4,
|
39 |
+
"DET": 5,
|
40 |
+
"INTJ": 6,
|
41 |
+
"NOUN": 7,
|
42 |
+
"NUM": 8,
|
43 |
+
"PART": 9,
|
44 |
+
"PRON": 10,
|
45 |
+
"PROPN": 11,
|
46 |
+
"PUNCT": 12,
|
47 |
+
"SCONJ": 13,
|
48 |
+
"SYM": 14,
|
49 |
+
"VERB": 15,
|
50 |
+
"X": 16
|
51 |
+
},
|
52 |
+
"layer_norm_eps": 1e-12,
|
53 |
+
"max_position_embeddings": 512,
|
54 |
+
"model_type": "bert",
|
55 |
+
"num_attention_heads": 12,
|
56 |
+
"num_hidden_layers": 12,
|
57 |
+
"pad_token_id": 0,
|
58 |
+
"position_embedding_type": "absolute",
|
59 |
+
"torch_dtype": "float32",
|
60 |
+
"transformers_version": "4.17.0",
|
61 |
+
"type_vocab_size": 2,
|
62 |
+
"use_cache": true,
|
63 |
+
"vocab_size": 28996
|
64 |
+
}
|
eval_predictions.csv
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 sha256:4d933a716e227b263ec34a1a000d0e5dd2e2e0c4aa87ac1430eb72194e5ac0be
|
3 |
+
size 431017069
|
special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
|
test_predictions.csv
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "add_prefix_space": false, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "bert-base-cased", "tokenizer_class": "BertTokenizer"}
|
trainer_state.json
ADDED
@@ -0,0 +1,376 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.8855701147554326,
|
3 |
+
"best_model_checkpoint": "/scratch/mrahma45/pixel/finetuned_models/bert/bert-base-finetuned-pos-ud-Japanese-GSD/checkpoint-2000",
|
4 |
+
"epoch": 20.361990950226243,
|
5 |
+
"global_step": 4500,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.45,
|
12 |
+
"learning_rate": 4.9500000000000004e-05,
|
13 |
+
"loss": 1.3362,
|
14 |
+
"step": 100
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.9,
|
18 |
+
"learning_rate": 4.966778523489933e-05,
|
19 |
+
"loss": 0.5269,
|
20 |
+
"step": 200
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 1.36,
|
24 |
+
"learning_rate": 4.933221476510068e-05,
|
25 |
+
"loss": 0.432,
|
26 |
+
"step": 300
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 1.81,
|
30 |
+
"learning_rate": 4.8996644295302016e-05,
|
31 |
+
"loss": 0.4029,
|
32 |
+
"step": 400
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 2.26,
|
36 |
+
"learning_rate": 4.8661073825503355e-05,
|
37 |
+
"loss": 0.3774,
|
38 |
+
"step": 500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 2.26,
|
42 |
+
"eval_accuracy": 0.8758850817937658,
|
43 |
+
"eval_loss": 0.37171030044555664,
|
44 |
+
"eval_runtime": 2.6026,
|
45 |
+
"eval_samples_per_second": 194.803,
|
46 |
+
"eval_steps_per_second": 24.591,
|
47 |
+
"step": 500
|
48 |
+
},
|
49 |
+
{
|
50 |
+
"epoch": 2.71,
|
51 |
+
"learning_rate": 4.83255033557047e-05,
|
52 |
+
"loss": 0.3581,
|
53 |
+
"step": 600
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 3.17,
|
57 |
+
"learning_rate": 4.798993288590604e-05,
|
58 |
+
"loss": 0.3378,
|
59 |
+
"step": 700
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 3.62,
|
63 |
+
"learning_rate": 4.765436241610739e-05,
|
64 |
+
"loss": 0.3239,
|
65 |
+
"step": 800
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 4.07,
|
69 |
+
"learning_rate": 4.7318791946308726e-05,
|
70 |
+
"loss": 0.3132,
|
71 |
+
"step": 900
|
72 |
+
},
|
73 |
+
{
|
74 |
+
"epoch": 4.52,
|
75 |
+
"learning_rate": 4.698322147651007e-05,
|
76 |
+
"loss": 0.2882,
|
77 |
+
"step": 1000
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 4.52,
|
81 |
+
"eval_accuracy": 0.8841865386180516,
|
82 |
+
"eval_loss": 0.3594276010990143,
|
83 |
+
"eval_runtime": 2.6266,
|
84 |
+
"eval_samples_per_second": 193.024,
|
85 |
+
"eval_steps_per_second": 24.366,
|
86 |
+
"step": 1000
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 4.98,
|
90 |
+
"learning_rate": 4.664765100671141e-05,
|
91 |
+
"loss": 0.2882,
|
92 |
+
"step": 1100
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 5.43,
|
96 |
+
"learning_rate": 4.631208053691276e-05,
|
97 |
+
"loss": 0.2499,
|
98 |
+
"step": 1200
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 5.88,
|
102 |
+
"learning_rate": 4.5976510067114097e-05,
|
103 |
+
"loss": 0.2633,
|
104 |
+
"step": 1300
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 6.33,
|
108 |
+
"learning_rate": 4.564093959731544e-05,
|
109 |
+
"loss": 0.2364,
|
110 |
+
"step": 1400
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 6.79,
|
114 |
+
"learning_rate": 4.5305369127516775e-05,
|
115 |
+
"loss": 0.2304,
|
116 |
+
"step": 1500
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 6.79,
|
120 |
+
"eval_accuracy": 0.8854887279238219,
|
121 |
+
"eval_loss": 0.3736213743686676,
|
122 |
+
"eval_runtime": 2.6247,
|
123 |
+
"eval_samples_per_second": 193.165,
|
124 |
+
"eval_steps_per_second": 24.384,
|
125 |
+
"step": 1500
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 7.24,
|
129 |
+
"learning_rate": 4.496979865771812e-05,
|
130 |
+
"loss": 0.2144,
|
131 |
+
"step": 1600
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 7.69,
|
135 |
+
"learning_rate": 4.463422818791946e-05,
|
136 |
+
"loss": 0.2067,
|
137 |
+
"step": 1700
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 8.14,
|
141 |
+
"learning_rate": 4.4298657718120806e-05,
|
142 |
+
"loss": 0.1925,
|
143 |
+
"step": 1800
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 8.6,
|
147 |
+
"learning_rate": 4.3963087248322146e-05,
|
148 |
+
"loss": 0.1764,
|
149 |
+
"step": 1900
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 9.05,
|
153 |
+
"learning_rate": 4.362751677852349e-05,
|
154 |
+
"loss": 0.1778,
|
155 |
+
"step": 2000
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 9.05,
|
159 |
+
"eval_accuracy": 0.8855701147554326,
|
160 |
+
"eval_loss": 0.43164435029029846,
|
161 |
+
"eval_runtime": 2.6105,
|
162 |
+
"eval_samples_per_second": 194.219,
|
163 |
+
"eval_steps_per_second": 24.517,
|
164 |
+
"step": 2000
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 9.5,
|
168 |
+
"learning_rate": 4.329194630872484e-05,
|
169 |
+
"loss": 0.1529,
|
170 |
+
"step": 2100
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 9.95,
|
174 |
+
"learning_rate": 4.295637583892618e-05,
|
175 |
+
"loss": 0.1583,
|
176 |
+
"step": 2200
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 10.41,
|
180 |
+
"learning_rate": 4.262080536912752e-05,
|
181 |
+
"loss": 0.1356,
|
182 |
+
"step": 2300
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 10.86,
|
186 |
+
"learning_rate": 4.228523489932886e-05,
|
187 |
+
"loss": 0.1374,
|
188 |
+
"step": 2400
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 11.31,
|
192 |
+
"learning_rate": 4.194966442953021e-05,
|
193 |
+
"loss": 0.1217,
|
194 |
+
"step": 2500
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 11.31,
|
198 |
+
"eval_accuracy": 0.8805241311955726,
|
199 |
+
"eval_loss": 0.493513286113739,
|
200 |
+
"eval_runtime": 2.6161,
|
201 |
+
"eval_samples_per_second": 193.798,
|
202 |
+
"eval_steps_per_second": 24.464,
|
203 |
+
"step": 2500
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 11.76,
|
207 |
+
"learning_rate": 4.161409395973155e-05,
|
208 |
+
"loss": 0.1193,
|
209 |
+
"step": 2600
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 12.22,
|
213 |
+
"learning_rate": 4.127852348993289e-05,
|
214 |
+
"loss": 0.1098,
|
215 |
+
"step": 2700
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 12.67,
|
219 |
+
"learning_rate": 4.0942953020134226e-05,
|
220 |
+
"loss": 0.103,
|
221 |
+
"step": 2800
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 13.12,
|
225 |
+
"learning_rate": 4.060738255033557e-05,
|
226 |
+
"loss": 0.1012,
|
227 |
+
"step": 2900
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 13.57,
|
231 |
+
"learning_rate": 4.027181208053691e-05,
|
232 |
+
"loss": 0.0896,
|
233 |
+
"step": 3000
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 13.57,
|
237 |
+
"eval_accuracy": 0.8823146414910068,
|
238 |
+
"eval_loss": 0.5315696001052856,
|
239 |
+
"eval_runtime": 2.6096,
|
240 |
+
"eval_samples_per_second": 194.28,
|
241 |
+
"eval_steps_per_second": 24.525,
|
242 |
+
"step": 3000
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 14.03,
|
246 |
+
"learning_rate": 3.993624161073826e-05,
|
247 |
+
"loss": 0.0869,
|
248 |
+
"step": 3100
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 14.48,
|
252 |
+
"learning_rate": 3.96006711409396e-05,
|
253 |
+
"loss": 0.0784,
|
254 |
+
"step": 3200
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 14.93,
|
258 |
+
"learning_rate": 3.926510067114094e-05,
|
259 |
+
"loss": 0.0783,
|
260 |
+
"step": 3300
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 15.38,
|
264 |
+
"learning_rate": 3.892953020134228e-05,
|
265 |
+
"loss": 0.0691,
|
266 |
+
"step": 3400
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 15.84,
|
270 |
+
"learning_rate": 3.859395973154363e-05,
|
271 |
+
"loss": 0.0685,
|
272 |
+
"step": 3500
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 15.84,
|
276 |
+
"eval_accuracy": 0.8823960283226174,
|
277 |
+
"eval_loss": 0.5921140313148499,
|
278 |
+
"eval_runtime": 2.6221,
|
279 |
+
"eval_samples_per_second": 193.357,
|
280 |
+
"eval_steps_per_second": 24.408,
|
281 |
+
"step": 3500
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 16.29,
|
285 |
+
"learning_rate": 3.825838926174497e-05,
|
286 |
+
"loss": 0.0646,
|
287 |
+
"step": 3600
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 16.74,
|
291 |
+
"learning_rate": 3.7922818791946313e-05,
|
292 |
+
"loss": 0.0592,
|
293 |
+
"step": 3700
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 17.19,
|
297 |
+
"learning_rate": 3.758724832214765e-05,
|
298 |
+
"loss": 0.0593,
|
299 |
+
"step": 3800
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 17.65,
|
303 |
+
"learning_rate": 3.725167785234899e-05,
|
304 |
+
"loss": 0.0546,
|
305 |
+
"step": 3900
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 18.1,
|
309 |
+
"learning_rate": 3.691610738255034e-05,
|
310 |
+
"loss": 0.0546,
|
311 |
+
"step": 4000
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 18.1,
|
315 |
+
"eval_accuracy": 0.88272157564906,
|
316 |
+
"eval_loss": 0.6464724540710449,
|
317 |
+
"eval_runtime": 2.62,
|
318 |
+
"eval_samples_per_second": 193.511,
|
319 |
+
"eval_steps_per_second": 24.427,
|
320 |
+
"step": 4000
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 18.55,
|
324 |
+
"learning_rate": 3.658053691275168e-05,
|
325 |
+
"loss": 0.0494,
|
326 |
+
"step": 4100
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 19.0,
|
330 |
+
"learning_rate": 3.624496644295302e-05,
|
331 |
+
"loss": 0.0519,
|
332 |
+
"step": 4200
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 19.46,
|
336 |
+
"learning_rate": 3.590939597315436e-05,
|
337 |
+
"loss": 0.0422,
|
338 |
+
"step": 4300
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 19.91,
|
342 |
+
"learning_rate": 3.557382550335571e-05,
|
343 |
+
"loss": 0.0445,
|
344 |
+
"step": 4400
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 20.36,
|
348 |
+
"learning_rate": 3.523825503355705e-05,
|
349 |
+
"loss": 0.0395,
|
350 |
+
"step": 4500
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 20.36,
|
354 |
+
"eval_accuracy": 0.8812566126800684,
|
355 |
+
"eval_loss": 0.6766866445541382,
|
356 |
+
"eval_runtime": 2.6147,
|
357 |
+
"eval_samples_per_second": 193.903,
|
358 |
+
"eval_steps_per_second": 24.477,
|
359 |
+
"step": 4500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 20.36,
|
363 |
+
"step": 4500,
|
364 |
+
"total_flos": 1.875842476013568e+16,
|
365 |
+
"train_loss": 0.20138724523120458,
|
366 |
+
"train_runtime": 1165.6408,
|
367 |
+
"train_samples_per_second": 411.791,
|
368 |
+
"train_steps_per_second": 12.868
|
369 |
+
}
|
370 |
+
],
|
371 |
+
"max_steps": 15000,
|
372 |
+
"num_train_epochs": 68,
|
373 |
+
"total_flos": 1.875842476013568e+16,
|
374 |
+
"trial_name": null,
|
375 |
+
"trial_params": null
|
376 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:424878333e7f3fd6599da9a37049f61e340a0221e9b4a28d23cd37fc6f796bb7
|
3 |
+
size 3387
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|