Md Mushfiqur Rahman
commited on
Commit
•
37a8030
1
Parent(s):
2d06f6b
Upload with huggingface_hub
Browse files- README.md +15 -0
- all_results.json +20 -0
- config.json +69 -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 +532 -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": 15.62,
|
3 |
+
"eval_accuracy": 0.9729108101201125,
|
4 |
+
"eval_loss": 0.13532687723636627,
|
5 |
+
"eval_runtime": 8.3999,
|
6 |
+
"eval_samples": 1659,
|
7 |
+
"eval_samples_per_second": 197.501,
|
8 |
+
"eval_steps_per_second": 24.762,
|
9 |
+
"test_accuracy": 0.9718600056449337,
|
10 |
+
"test_loss": 0.13354891538619995,
|
11 |
+
"test_runtime": 8.5252,
|
12 |
+
"test_samples": 1684,
|
13 |
+
"test_samples_per_second": 197.531,
|
14 |
+
"test_steps_per_second": 24.75,
|
15 |
+
"train_loss": 0.046262450704207786,
|
16 |
+
"train_runtime": 1858.7918,
|
17 |
+
"train_samples": 13304,
|
18 |
+
"train_samples_per_second": 258.232,
|
19 |
+
"train_steps_per_second": 8.07
|
20 |
+
}
|
config.json
ADDED
@@ -0,0 +1,69 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "bert-base-multilingual-cased",
|
3 |
+
"architectures": [
|
4 |
+
"BertForTokenClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"classifier_dropout": null,
|
8 |
+
"directionality": "bidi",
|
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 |
+
"pooler_fc_size": 768,
|
59 |
+
"pooler_num_attention_heads": 12,
|
60 |
+
"pooler_num_fc_layers": 3,
|
61 |
+
"pooler_size_per_head": 128,
|
62 |
+
"pooler_type": "first_token_transform",
|
63 |
+
"position_embedding_type": "absolute",
|
64 |
+
"torch_dtype": "float32",
|
65 |
+
"transformers_version": "4.17.0",
|
66 |
+
"type_vocab_size": 2,
|
67 |
+
"use_cache": true,
|
68 |
+
"vocab_size": 119547
|
69 |
+
}
|
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 sha256:1d948035416ff02ead6fdb67ba845a0c900d36fcc6df17f52745c21550991038
|
3 |
+
size 709189741
|
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-multilingual-cased", "tokenizer_class": "BertTokenizer"}
|
trainer_state.json
ADDED
@@ -0,0 +1,532 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9729108101201125,
|
3 |
+
"best_model_checkpoint": "/scratch/mrahma45/pixel/finetuned_models/mbert/mbert-base-finetuned-pos-ud-Hindi-HDTB/checkpoint-4000",
|
4 |
+
"epoch": 15.625,
|
5 |
+
"global_step": 6500,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.24,
|
12 |
+
"learning_rate": 7.92e-05,
|
13 |
+
"loss": 0.9473,
|
14 |
+
"step": 100
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.48,
|
18 |
+
"learning_rate": 7.946845637583894e-05,
|
19 |
+
"loss": 0.1783,
|
20 |
+
"step": 200
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.72,
|
24 |
+
"learning_rate": 7.893154362416109e-05,
|
25 |
+
"loss": 0.1398,
|
26 |
+
"step": 300
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.96,
|
30 |
+
"learning_rate": 7.840000000000001e-05,
|
31 |
+
"loss": 0.1279,
|
32 |
+
"step": 400
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 1.2,
|
36 |
+
"learning_rate": 7.786308724832216e-05,
|
37 |
+
"loss": 0.0987,
|
38 |
+
"step": 500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 1.2,
|
42 |
+
"eval_accuracy": 0.964704546099895,
|
43 |
+
"eval_loss": 0.1141478568315506,
|
44 |
+
"eval_runtime": 8.4275,
|
45 |
+
"eval_samples_per_second": 196.854,
|
46 |
+
"eval_steps_per_second": 24.681,
|
47 |
+
"step": 500
|
48 |
+
},
|
49 |
+
{
|
50 |
+
"epoch": 1.44,
|
51 |
+
"learning_rate": 7.73261744966443e-05,
|
52 |
+
"loss": 0.0919,
|
53 |
+
"step": 600
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 1.68,
|
57 |
+
"learning_rate": 7.678926174496645e-05,
|
58 |
+
"loss": 0.0895,
|
59 |
+
"step": 700
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 1.92,
|
63 |
+
"learning_rate": 7.62523489932886e-05,
|
64 |
+
"loss": 0.0863,
|
65 |
+
"step": 800
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 2.16,
|
69 |
+
"learning_rate": 7.571543624161075e-05,
|
70 |
+
"loss": 0.0665,
|
71 |
+
"step": 900
|
72 |
+
},
|
73 |
+
{
|
74 |
+
"epoch": 2.4,
|
75 |
+
"learning_rate": 7.51785234899329e-05,
|
76 |
+
"loss": 0.0605,
|
77 |
+
"step": 1000
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 2.4,
|
81 |
+
"eval_accuracy": 0.9700996677740864,
|
82 |
+
"eval_loss": 0.10947530716657639,
|
83 |
+
"eval_runtime": 8.4196,
|
84 |
+
"eval_samples_per_second": 197.04,
|
85 |
+
"eval_steps_per_second": 24.704,
|
86 |
+
"step": 1000
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 2.64,
|
90 |
+
"learning_rate": 7.464161073825505e-05,
|
91 |
+
"loss": 0.0602,
|
92 |
+
"step": 1100
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 2.88,
|
96 |
+
"learning_rate": 7.410469798657718e-05,
|
97 |
+
"loss": 0.0603,
|
98 |
+
"step": 1200
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 3.12,
|
102 |
+
"learning_rate": 7.356778523489933e-05,
|
103 |
+
"loss": 0.0499,
|
104 |
+
"step": 1300
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 3.37,
|
108 |
+
"learning_rate": 7.303087248322148e-05,
|
109 |
+
"loss": 0.0439,
|
110 |
+
"step": 1400
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 3.61,
|
114 |
+
"learning_rate": 7.249395973154363e-05,
|
115 |
+
"loss": 0.045,
|
116 |
+
"step": 1500
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 3.61,
|
120 |
+
"eval_accuracy": 0.9701848539057841,
|
121 |
+
"eval_loss": 0.10890347510576248,
|
122 |
+
"eval_runtime": 8.429,
|
123 |
+
"eval_samples_per_second": 196.82,
|
124 |
+
"eval_steps_per_second": 24.677,
|
125 |
+
"step": 1500
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 3.85,
|
129 |
+
"learning_rate": 7.195704697986577e-05,
|
130 |
+
"loss": 0.0486,
|
131 |
+
"step": 1600
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 4.09,
|
135 |
+
"learning_rate": 7.142013422818792e-05,
|
136 |
+
"loss": 0.0414,
|
137 |
+
"step": 1700
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 4.33,
|
141 |
+
"learning_rate": 7.088322147651007e-05,
|
142 |
+
"loss": 0.0348,
|
143 |
+
"step": 1800
|
144 |
+
},
|
145 |
+
{
|
146 |
+
"epoch": 4.57,
|
147 |
+
"learning_rate": 7.034630872483222e-05,
|
148 |
+
"loss": 0.0359,
|
149 |
+
"step": 1900
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 4.81,
|
153 |
+
"learning_rate": 6.980939597315437e-05,
|
154 |
+
"loss": 0.038,
|
155 |
+
"step": 2000
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 4.81,
|
159 |
+
"eval_accuracy": 0.9715194366357157,
|
160 |
+
"eval_loss": 0.11456557363271713,
|
161 |
+
"eval_runtime": 8.4277,
|
162 |
+
"eval_samples_per_second": 196.85,
|
163 |
+
"eval_steps_per_second": 24.68,
|
164 |
+
"step": 2000
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 5.05,
|
168 |
+
"learning_rate": 6.927248322147651e-05,
|
169 |
+
"loss": 0.0326,
|
170 |
+
"step": 2100
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 5.29,
|
174 |
+
"learning_rate": 6.873557046979866e-05,
|
175 |
+
"loss": 0.0269,
|
176 |
+
"step": 2200
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 5.53,
|
180 |
+
"learning_rate": 6.819865771812081e-05,
|
181 |
+
"loss": 0.0285,
|
182 |
+
"step": 2300
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 5.77,
|
186 |
+
"learning_rate": 6.766174496644296e-05,
|
187 |
+
"loss": 0.0294,
|
188 |
+
"step": 2400
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 6.01,
|
192 |
+
"learning_rate": 6.712483221476511e-05,
|
193 |
+
"loss": 0.0308,
|
194 |
+
"step": 2500
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 6.01,
|
198 |
+
"eval_accuracy": 0.9711219013544595,
|
199 |
+
"eval_loss": 0.11870458722114563,
|
200 |
+
"eval_runtime": 8.4327,
|
201 |
+
"eval_samples_per_second": 196.733,
|
202 |
+
"eval_steps_per_second": 24.666,
|
203 |
+
"step": 2500
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 6.25,
|
207 |
+
"learning_rate": 6.658791946308726e-05,
|
208 |
+
"loss": 0.0213,
|
209 |
+
"step": 2600
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 6.49,
|
213 |
+
"learning_rate": 6.60510067114094e-05,
|
214 |
+
"loss": 0.0229,
|
215 |
+
"step": 2700
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 6.73,
|
219 |
+
"learning_rate": 6.551409395973155e-05,
|
220 |
+
"loss": 0.0261,
|
221 |
+
"step": 2800
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 6.97,
|
225 |
+
"learning_rate": 6.49771812080537e-05,
|
226 |
+
"loss": 0.0242,
|
227 |
+
"step": 2900
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 7.21,
|
231 |
+
"learning_rate": 6.444026845637585e-05,
|
232 |
+
"loss": 0.02,
|
233 |
+
"step": 3000
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 7.21,
|
237 |
+
"eval_accuracy": 0.9710935059772269,
|
238 |
+
"eval_loss": 0.1298820823431015,
|
239 |
+
"eval_runtime": 8.4732,
|
240 |
+
"eval_samples_per_second": 195.793,
|
241 |
+
"eval_steps_per_second": 24.548,
|
242 |
+
"step": 3000
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 7.45,
|
246 |
+
"learning_rate": 6.3903355704698e-05,
|
247 |
+
"loss": 0.0186,
|
248 |
+
"step": 3100
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 7.69,
|
252 |
+
"learning_rate": 6.336644295302015e-05,
|
253 |
+
"loss": 0.0191,
|
254 |
+
"step": 3200
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 7.93,
|
258 |
+
"learning_rate": 6.28295302013423e-05,
|
259 |
+
"loss": 0.0202,
|
260 |
+
"step": 3300
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 8.17,
|
264 |
+
"learning_rate": 6.229261744966444e-05,
|
265 |
+
"loss": 0.0163,
|
266 |
+
"step": 3400
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 8.41,
|
270 |
+
"learning_rate": 6.175570469798658e-05,
|
271 |
+
"loss": 0.0159,
|
272 |
+
"step": 3500
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 8.41,
|
276 |
+
"eval_accuracy": 0.9705539938098078,
|
277 |
+
"eval_loss": 0.15600977838039398,
|
278 |
+
"eval_runtime": 8.4103,
|
279 |
+
"eval_samples_per_second": 197.259,
|
280 |
+
"eval_steps_per_second": 24.732,
|
281 |
+
"step": 3500
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 8.65,
|
285 |
+
"learning_rate": 6.121879194630873e-05,
|
286 |
+
"loss": 0.0181,
|
287 |
+
"step": 3600
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 8.89,
|
291 |
+
"learning_rate": 6.068187919463087e-05,
|
292 |
+
"loss": 0.0175,
|
293 |
+
"step": 3700
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 9.13,
|
297 |
+
"learning_rate": 6.014496644295302e-05,
|
298 |
+
"loss": 0.0147,
|
299 |
+
"step": 3800
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 9.38,
|
303 |
+
"learning_rate": 5.960805369127517e-05,
|
304 |
+
"loss": 0.0134,
|
305 |
+
"step": 3900
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 9.62,
|
309 |
+
"learning_rate": 5.907114093959732e-05,
|
310 |
+
"loss": 0.0142,
|
311 |
+
"step": 4000
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 9.62,
|
315 |
+
"eval_accuracy": 0.9729108101201125,
|
316 |
+
"eval_loss": 0.13532687723636627,
|
317 |
+
"eval_runtime": 8.4032,
|
318 |
+
"eval_samples_per_second": 197.426,
|
319 |
+
"eval_steps_per_second": 24.753,
|
320 |
+
"step": 4000
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 9.86,
|
324 |
+
"learning_rate": 5.8534228187919466e-05,
|
325 |
+
"loss": 0.0152,
|
326 |
+
"step": 4100
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 10.1,
|
330 |
+
"learning_rate": 5.7997315436241614e-05,
|
331 |
+
"loss": 0.0138,
|
332 |
+
"step": 4200
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 10.34,
|
336 |
+
"learning_rate": 5.746040268456376e-05,
|
337 |
+
"loss": 0.0109,
|
338 |
+
"step": 4300
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 10.58,
|
342 |
+
"learning_rate": 5.692348993288591e-05,
|
343 |
+
"loss": 0.0099,
|
344 |
+
"step": 4400
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 10.82,
|
348 |
+
"learning_rate": 5.638657718120806e-05,
|
349 |
+
"loss": 0.0124,
|
350 |
+
"step": 4500
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 10.82,
|
354 |
+
"eval_accuracy": 0.9713206689950876,
|
355 |
+
"eval_loss": 0.14761441946029663,
|
356 |
+
"eval_runtime": 8.4464,
|
357 |
+
"eval_samples_per_second": 196.415,
|
358 |
+
"eval_steps_per_second": 24.626,
|
359 |
+
"step": 4500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 11.06,
|
363 |
+
"learning_rate": 5.58496644295302e-05,
|
364 |
+
"loss": 0.0136,
|
365 |
+
"step": 4600
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 11.3,
|
369 |
+
"learning_rate": 5.531275167785235e-05,
|
370 |
+
"loss": 0.0091,
|
371 |
+
"step": 4700
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 11.54,
|
375 |
+
"learning_rate": 5.47758389261745e-05,
|
376 |
+
"loss": 0.0104,
|
377 |
+
"step": 4800
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 11.78,
|
381 |
+
"learning_rate": 5.4238926174496645e-05,
|
382 |
+
"loss": 0.011,
|
383 |
+
"step": 4900
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 12.02,
|
387 |
+
"learning_rate": 5.3702013422818794e-05,
|
388 |
+
"loss": 0.0112,
|
389 |
+
"step": 5000
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 12.02,
|
393 |
+
"eval_accuracy": 0.9716614135218786,
|
394 |
+
"eval_loss": 0.1558678150177002,
|
395 |
+
"eval_runtime": 8.4483,
|
396 |
+
"eval_samples_per_second": 196.371,
|
397 |
+
"eval_steps_per_second": 24.62,
|
398 |
+
"step": 5000
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 12.26,
|
402 |
+
"learning_rate": 5.316510067114094e-05,
|
403 |
+
"loss": 0.0079,
|
404 |
+
"step": 5100
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 12.5,
|
408 |
+
"learning_rate": 5.262818791946309e-05,
|
409 |
+
"loss": 0.0089,
|
410 |
+
"step": 5200
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 12.74,
|
414 |
+
"learning_rate": 5.209127516778524e-05,
|
415 |
+
"loss": 0.009,
|
416 |
+
"step": 5300
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 12.98,
|
420 |
+
"learning_rate": 5.155436241610739e-05,
|
421 |
+
"loss": 0.0098,
|
422 |
+
"step": 5400
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 13.22,
|
426 |
+
"learning_rate": 5.1017449664429535e-05,
|
427 |
+
"loss": 0.0081,
|
428 |
+
"step": 5500
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 13.22,
|
432 |
+
"eval_accuracy": 0.9694465740977369,
|
433 |
+
"eval_loss": 0.17652873694896698,
|
434 |
+
"eval_runtime": 8.4104,
|
435 |
+
"eval_samples_per_second": 197.255,
|
436 |
+
"eval_steps_per_second": 24.731,
|
437 |
+
"step": 5500
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 13.46,
|
441 |
+
"learning_rate": 5.048053691275168e-05,
|
442 |
+
"loss": 0.0078,
|
443 |
+
"step": 5600
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 13.7,
|
447 |
+
"learning_rate": 4.994362416107383e-05,
|
448 |
+
"loss": 0.0074,
|
449 |
+
"step": 5700
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 13.94,
|
453 |
+
"learning_rate": 4.940671140939597e-05,
|
454 |
+
"loss": 0.008,
|
455 |
+
"step": 5800
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 14.18,
|
459 |
+
"learning_rate": 4.886979865771812e-05,
|
460 |
+
"loss": 0.0068,
|
461 |
+
"step": 5900
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 14.42,
|
465 |
+
"learning_rate": 4.833288590604027e-05,
|
466 |
+
"loss": 0.0057,
|
467 |
+
"step": 6000
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 14.42,
|
471 |
+
"eval_accuracy": 0.9713490643723202,
|
472 |
+
"eval_loss": 0.1719847023487091,
|
473 |
+
"eval_runtime": 8.4464,
|
474 |
+
"eval_samples_per_second": 196.415,
|
475 |
+
"eval_steps_per_second": 24.626,
|
476 |
+
"step": 6000
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 14.66,
|
480 |
+
"learning_rate": 4.779597315436242e-05,
|
481 |
+
"loss": 0.0081,
|
482 |
+
"step": 6100
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 14.9,
|
486 |
+
"learning_rate": 4.7259060402684566e-05,
|
487 |
+
"loss": 0.0078,
|
488 |
+
"step": 6200
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 15.14,
|
492 |
+
"learning_rate": 4.6722147651006714e-05,
|
493 |
+
"loss": 0.0069,
|
494 |
+
"step": 6300
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 15.38,
|
498 |
+
"learning_rate": 4.619060402684565e-05,
|
499 |
+
"loss": 0.0056,
|
500 |
+
"step": 6400
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 15.62,
|
504 |
+
"learning_rate": 4.5653691275167796e-05,
|
505 |
+
"loss": 0.0066,
|
506 |
+
"step": 6500
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 15.62,
|
510 |
+
"eval_accuracy": 0.9701564585285516,
|
511 |
+
"eval_loss": 0.18945461511611938,
|
512 |
+
"eval_runtime": 8.4725,
|
513 |
+
"eval_samples_per_second": 195.811,
|
514 |
+
"eval_steps_per_second": 24.55,
|
515 |
+
"step": 6500
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 15.62,
|
519 |
+
"step": 6500,
|
520 |
+
"total_flos": 2.716286806308864e+16,
|
521 |
+
"train_loss": 0.046262450704207786,
|
522 |
+
"train_runtime": 1858.7918,
|
523 |
+
"train_samples_per_second": 258.232,
|
524 |
+
"train_steps_per_second": 8.07
|
525 |
+
}
|
526 |
+
],
|
527 |
+
"max_steps": 15000,
|
528 |
+
"num_train_epochs": 37,
|
529 |
+
"total_flos": 2.716286806308864e+16,
|
530 |
+
"trial_name": null,
|
531 |
+
"trial_params": null
|
532 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9482bb2e86bbc4bd64ba3acad5b2dc033c6b4c74683e66a68c1026cfe2836a60
|
3 |
+
size 3387
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|