helena-balabin commited on
Commit
bc3d3b0
1 Parent(s): d839843

End of training

Browse files
README.md ADDED
@@ -0,0 +1,256 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ base_model: DTAI-KULeuven/robbert-2023-dutch-base
4
+ tags:
5
+ - generated_from_trainer
6
+ model-index:
7
+ - name: robbert-2023-dutch-base-ft-nlp-xxl
8
+ results: []
9
+ ---
10
+
11
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
12
+ should probably proofread and complete it, then remove this comment. -->
13
+
14
+ # robbert-2023-dutch-base-ft-nlp-xxl
15
+
16
+ This model is a fine-tuned version of [DTAI-KULeuven/robbert-2023-dutch-base](https://huggingface.co/DTAI-KULeuven/robbert-2023-dutch-base) on an unknown dataset.
17
+ It achieves the following results on the evaluation set:
18
+ - Loss: 2.0118
19
+
20
+ ## Model description
21
+
22
+ More information needed
23
+
24
+ ## Intended uses & limitations
25
+
26
+ More information needed
27
+
28
+ ## Training and evaluation data
29
+
30
+ More information needed
31
+
32
+ ## Training procedure
33
+
34
+ ### Training hyperparameters
35
+
36
+ The following hyperparameters were used during training:
37
+ - learning_rate: 5e-05
38
+ - train_batch_size: 16
39
+ - eval_batch_size: 16
40
+ - seed: 42
41
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
+ - lr_scheduler_type: linear
43
+ - training_steps: 2000
44
+
45
+ ### Training results
46
+
47
+ | Training Loss | Epoch | Step | Validation Loss |
48
+ |:-------------:|:-----:|:----:|:---------------:|
49
+ | 2.8326 | 0.06 | 10 | 2.6788 |
50
+ | 2.7533 | 0.12 | 20 | 2.5468 |
51
+ | 2.4636 | 0.19 | 30 | 2.5083 |
52
+ | 2.6891 | 0.25 | 40 | 2.4572 |
53
+ | 2.5285 | 0.31 | 50 | 2.4016 |
54
+ | 2.5102 | 0.37 | 60 | 2.4493 |
55
+ | 2.5021 | 0.43 | 70 | 2.3338 |
56
+ | 2.4623 | 0.5 | 80 | 2.3530 |
57
+ | 2.3883 | 0.56 | 90 | 2.3881 |
58
+ | 2.4773 | 0.62 | 100 | 2.3410 |
59
+ | 2.4389 | 0.68 | 110 | 2.3148 |
60
+ | 2.3577 | 0.75 | 120 | 2.3326 |
61
+ | 2.3497 | 0.81 | 130 | 2.3429 |
62
+ | 2.3806 | 0.87 | 140 | 2.2916 |
63
+ | 2.433 | 0.93 | 150 | 2.2801 |
64
+ | 2.4703 | 0.99 | 160 | 2.2703 |
65
+ | 2.1623 | 1.06 | 170 | 2.3148 |
66
+ | 2.3273 | 1.12 | 180 | 2.2596 |
67
+ | 2.2054 | 1.18 | 190 | 2.1914 |
68
+ | 2.3115 | 1.24 | 200 | 2.2161 |
69
+ | 2.109 | 1.3 | 210 | 2.1979 |
70
+ | 2.375 | 1.37 | 220 | 2.2155 |
71
+ | 2.2816 | 1.43 | 230 | 2.1992 |
72
+ | 2.3764 | 1.49 | 240 | 2.1825 |
73
+ | 2.1229 | 1.55 | 250 | 2.2547 |
74
+ | 2.1761 | 1.61 | 260 | 2.1983 |
75
+ | 2.2285 | 1.68 | 270 | 2.2590 |
76
+ | 2.3079 | 1.74 | 280 | 2.1666 |
77
+ | 2.2963 | 1.8 | 290 | 2.2389 |
78
+ | 2.3471 | 1.86 | 300 | 2.1583 |
79
+ | 2.2031 | 1.93 | 310 | 2.2457 |
80
+ | 2.3073 | 1.99 | 320 | 2.2102 |
81
+ | 2.1813 | 2.05 | 330 | 2.1898 |
82
+ | 2.1958 | 2.11 | 340 | 2.2095 |
83
+ | 2.2239 | 2.17 | 350 | 2.2107 |
84
+ | 2.1024 | 2.24 | 360 | 2.2168 |
85
+ | 2.1895 | 2.3 | 370 | 2.1944 |
86
+ | 2.1631 | 2.36 | 380 | 2.2287 |
87
+ | 2.1258 | 2.42 | 390 | 2.1830 |
88
+ | 2.236 | 2.48 | 400 | 2.1641 |
89
+ | 2.1493 | 2.55 | 410 | 2.1377 |
90
+ | 2.1368 | 2.61 | 420 | 2.1640 |
91
+ | 2.1932 | 2.67 | 430 | 2.2102 |
92
+ | 2.2071 | 2.73 | 440 | 2.1461 |
93
+ | 2.2059 | 2.8 | 450 | 2.2398 |
94
+ | 2.2088 | 2.86 | 460 | 2.1055 |
95
+ | 2.2002 | 2.92 | 470 | 2.2272 |
96
+ | 2.1892 | 2.98 | 480 | 2.1622 |
97
+ | 2.1382 | 3.04 | 490 | 2.1392 |
98
+ | 2.0724 | 3.11 | 500 | 2.1669 |
99
+ | 2.09 | 3.17 | 510 | 2.1585 |
100
+ | 2.1398 | 3.23 | 520 | 2.1565 |
101
+ | 2.1023 | 3.29 | 530 | 2.1532 |
102
+ | 1.9628 | 3.35 | 540 | 2.1312 |
103
+ | 2.1294 | 3.42 | 550 | 2.1337 |
104
+ | 2.0734 | 3.48 | 560 | 2.1854 |
105
+ | 2.0503 | 3.54 | 570 | 2.1351 |
106
+ | 1.9727 | 3.6 | 580 | 2.1715 |
107
+ | 2.0652 | 3.66 | 590 | 2.1348 |
108
+ | 1.9942 | 3.73 | 600 | 2.2555 |
109
+ | 2.0017 | 3.79 | 610 | 2.1412 |
110
+ | 2.0962 | 3.85 | 620 | 2.1442 |
111
+ | 2.1212 | 3.91 | 630 | 2.1866 |
112
+ | 2.0276 | 3.98 | 640 | 2.0766 |
113
+ | 2.0726 | 4.04 | 650 | 2.0432 |
114
+ | 2.0554 | 4.1 | 660 | 2.1925 |
115
+ | 1.9865 | 4.16 | 670 | 2.1344 |
116
+ | 1.9676 | 4.22 | 680 | 2.1379 |
117
+ | 2.0355 | 4.29 | 690 | 2.1465 |
118
+ | 1.9982 | 4.35 | 700 | 2.0861 |
119
+ | 2.0307 | 4.41 | 710 | 2.1359 |
120
+ | 2.1014 | 4.47 | 720 | 2.0703 |
121
+ | 1.9608 | 4.53 | 730 | 2.0898 |
122
+ | 2.1068 | 4.6 | 740 | 2.2018 |
123
+ | 2.0099 | 4.66 | 750 | 2.1502 |
124
+ | 2.0715 | 4.72 | 760 | 2.0592 |
125
+ | 2.1272 | 4.78 | 770 | 2.1833 |
126
+ | 2.1069 | 4.84 | 780 | 2.0944 |
127
+ | 1.96 | 4.91 | 790 | 2.1344 |
128
+ | 2.0613 | 4.97 | 800 | 2.1366 |
129
+ | 1.9297 | 5.03 | 810 | 2.0956 |
130
+ | 2.0172 | 5.09 | 820 | 2.1792 |
131
+ | 2.0134 | 5.16 | 830 | 2.0792 |
132
+ | 1.9867 | 5.22 | 840 | 2.1058 |
133
+ | 1.9391 | 5.28 | 850 | 2.1820 |
134
+ | 1.8802 | 5.34 | 860 | 2.1274 |
135
+ | 1.9789 | 5.4 | 870 | 2.0956 |
136
+ | 2.0665 | 5.47 | 880 | 2.1209 |
137
+ | 2.0909 | 5.53 | 890 | 2.1557 |
138
+ | 1.9261 | 5.59 | 900 | 2.0976 |
139
+ | 2.0246 | 5.65 | 910 | 2.1127 |
140
+ | 1.9727 | 5.71 | 920 | 2.1670 |
141
+ | 1.8429 | 5.78 | 930 | 2.0906 |
142
+ | 2.001 | 5.84 | 940 | 2.0951 |
143
+ | 1.9363 | 5.9 | 950 | 2.0593 |
144
+ | 2.0033 | 5.96 | 960 | 2.0947 |
145
+ | 1.9868 | 6.02 | 970 | 2.0643 |
146
+ | 1.9011 | 6.09 | 980 | 2.1598 |
147
+ | 1.9562 | 6.15 | 990 | 2.0961 |
148
+ | 1.8923 | 6.21 | 1000 | 2.1436 |
149
+ | 1.9066 | 6.27 | 1010 | 2.0773 |
150
+ | 1.9805 | 6.34 | 1020 | 2.1261 |
151
+ | 1.829 | 6.4 | 1030 | 2.0962 |
152
+ | 1.8745 | 6.46 | 1040 | 2.0881 |
153
+ | 1.8518 | 6.52 | 1050 | 2.0200 |
154
+ | 1.9164 | 6.58 | 1060 | 2.0809 |
155
+ | 1.7968 | 6.65 | 1070 | 2.1169 |
156
+ | 1.9029 | 6.71 | 1080 | 2.0290 |
157
+ | 1.9383 | 6.77 | 1090 | 2.0806 |
158
+ | 1.8375 | 6.83 | 1100 | 2.0816 |
159
+ | 1.8289 | 6.89 | 1110 | 2.0660 |
160
+ | 1.894 | 6.96 | 1120 | 2.0229 |
161
+ | 1.843 | 7.02 | 1130 | 2.1239 |
162
+ | 1.8515 | 7.08 | 1140 | 2.0687 |
163
+ | 1.8899 | 7.14 | 1150 | 2.0832 |
164
+ | 1.903 | 7.2 | 1160 | 2.0882 |
165
+ | 1.8505 | 7.27 | 1170 | 2.0213 |
166
+ | 1.8155 | 7.33 | 1180 | 2.0808 |
167
+ | 1.9355 | 7.39 | 1190 | 2.0649 |
168
+ | 1.8213 | 7.45 | 1200 | 2.0817 |
169
+ | 1.9897 | 7.52 | 1210 | 2.1589 |
170
+ | 1.8044 | 7.58 | 1220 | 2.1288 |
171
+ | 1.9347 | 7.64 | 1230 | 2.0927 |
172
+ | 1.9311 | 7.7 | 1240 | 2.0180 |
173
+ | 1.922 | 7.76 | 1250 | 2.0163 |
174
+ | 1.8572 | 7.83 | 1260 | 2.0632 |
175
+ | 1.8858 | 7.89 | 1270 | 2.0255 |
176
+ | 1.8692 | 7.95 | 1280 | 2.0807 |
177
+ | 1.9486 | 8.01 | 1290 | 2.0829 |
178
+ | 1.8184 | 8.07 | 1300 | 2.0721 |
179
+ | 1.884 | 8.14 | 1310 | 2.0809 |
180
+ | 1.7928 | 8.2 | 1320 | 2.0462 |
181
+ | 1.8337 | 8.26 | 1330 | 2.0486 |
182
+ | 1.8443 | 8.32 | 1340 | 2.0113 |
183
+ | 1.8546 | 8.39 | 1350 | 2.0348 |
184
+ | 1.9359 | 8.45 | 1360 | 1.9960 |
185
+ | 1.874 | 8.51 | 1370 | 2.0198 |
186
+ | 1.9366 | 8.57 | 1380 | 2.1198 |
187
+ | 1.8081 | 8.63 | 1390 | 2.0964 |
188
+ | 1.8655 | 8.7 | 1400 | 2.0571 |
189
+ | 1.8357 | 8.76 | 1410 | 2.0432 |
190
+ | 1.8409 | 8.82 | 1420 | 2.0679 |
191
+ | 1.7785 | 8.88 | 1430 | 2.0930 |
192
+ | 1.766 | 8.94 | 1440 | 2.1041 |
193
+ | 1.8542 | 9.01 | 1450 | 2.0035 |
194
+ | 1.7403 | 9.07 | 1460 | 2.0662 |
195
+ | 1.8109 | 9.13 | 1470 | 1.9674 |
196
+ | 1.8191 | 9.19 | 1480 | 2.0274 |
197
+ | 1.7713 | 9.25 | 1490 | 2.1420 |
198
+ | 1.7628 | 9.32 | 1500 | 2.0899 |
199
+ | 1.8273 | 9.38 | 1510 | 1.9969 |
200
+ | 1.7786 | 9.44 | 1520 | 2.0089 |
201
+ | 1.7618 | 9.5 | 1530 | 2.0572 |
202
+ | 1.8247 | 9.57 | 1540 | 2.0710 |
203
+ | 1.7363 | 9.63 | 1550 | 1.9818 |
204
+ | 1.8374 | 9.69 | 1560 | 2.0177 |
205
+ | 1.8838 | 9.75 | 1570 | 2.0528 |
206
+ | 1.709 | 9.81 | 1580 | 1.9890 |
207
+ | 1.8743 | 9.88 | 1590 | 2.0105 |
208
+ | 1.855 | 9.94 | 1600 | 1.9971 |
209
+ | 1.8659 | 10.0 | 1610 | 2.0052 |
210
+ | 1.8172 | 10.06 | 1620 | 2.0004 |
211
+ | 1.7537 | 10.12 | 1630 | 2.1136 |
212
+ | 1.7822 | 10.19 | 1640 | 2.0685 |
213
+ | 1.7855 | 10.25 | 1650 | 2.0326 |
214
+ | 1.7825 | 10.31 | 1660 | 2.0402 |
215
+ | 1.7391 | 10.37 | 1670 | 2.0100 |
216
+ | 1.755 | 10.43 | 1680 | 2.0587 |
217
+ | 1.7649 | 10.5 | 1690 | 2.0548 |
218
+ | 1.7742 | 10.56 | 1700 | 2.0025 |
219
+ | 1.8407 | 10.62 | 1710 | 2.0164 |
220
+ | 1.828 | 10.68 | 1720 | 1.9975 |
221
+ | 1.7487 | 10.75 | 1730 | 2.0598 |
222
+ | 1.7521 | 10.81 | 1740 | 2.0318 |
223
+ | 1.7253 | 10.87 | 1750 | 2.1049 |
224
+ | 1.7245 | 10.93 | 1760 | 2.0569 |
225
+ | 1.8093 | 10.99 | 1770 | 1.9909 |
226
+ | 1.6967 | 11.06 | 1780 | 2.0660 |
227
+ | 1.7274 | 11.12 | 1790 | 2.0615 |
228
+ | 1.901 | 11.18 | 1800 | 2.0775 |
229
+ | 1.7667 | 11.24 | 1810 | 2.0470 |
230
+ | 1.8173 | 11.3 | 1820 | 2.0141 |
231
+ | 1.6841 | 11.37 | 1830 | 2.0541 |
232
+ | 1.7374 | 11.43 | 1840 | 2.0526 |
233
+ | 1.7307 | 11.49 | 1850 | 2.0060 |
234
+ | 1.7778 | 11.55 | 1860 | 2.0601 |
235
+ | 1.7656 | 11.61 | 1870 | 2.0358 |
236
+ | 1.7167 | 11.68 | 1880 | 2.1360 |
237
+ | 1.7 | 11.74 | 1890 | 2.0746 |
238
+ | 1.833 | 11.8 | 1900 | 2.0382 |
239
+ | 1.7076 | 11.86 | 1910 | 1.9974 |
240
+ | 1.7491 | 11.93 | 1920 | 2.0558 |
241
+ | 1.7912 | 11.99 | 1930 | 2.0598 |
242
+ | 1.7654 | 12.05 | 1940 | 2.0048 |
243
+ | 1.6612 | 12.11 | 1950 | 2.0457 |
244
+ | 1.7856 | 12.17 | 1960 | 2.0841 |
245
+ | 1.8026 | 12.24 | 1970 | 2.1041 |
246
+ | 1.696 | 12.3 | 1980 | 2.0776 |
247
+ | 1.7901 | 12.36 | 1990 | 2.0176 |
248
+ | 1.7881 | 12.42 | 2000 | 2.0118 |
249
+
250
+
251
+ ### Framework versions
252
+
253
+ - Transformers 4.38.2
254
+ - Pytorch 2.1.1+cu121
255
+ - Datasets 2.15.0
256
+ - Tokenizers 0.15.0
config.json ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "DTAI-KULeuven/robbert-2023-dutch-base",
3
+ "additional_special_tokens_ids": [],
4
+ "architectures": [
5
+ "RobertaForMaskedLM"
6
+ ],
7
+ "attention_probs_dropout_prob": 0.1,
8
+ "bos_token_id": 0,
9
+ "classifier_dropout": null,
10
+ "cls_token_id": 0,
11
+ "eos_token_id": 3,
12
+ "hidden_act": "gelu",
13
+ "hidden_dropout_prob": 0.1,
14
+ "hidden_size": 768,
15
+ "initializer_range": 0.02,
16
+ "intermediate_size": 3072,
17
+ "layer_norm_eps": 1e-05,
18
+ "mask_token_id": 4,
19
+ "max_position_embeddings": 514,
20
+ "model_type": "roberta",
21
+ "num_attention_heads": 12,
22
+ "num_hidden_layers": 12,
23
+ "pad_token_id": 1,
24
+ "position_embedding_type": "absolute",
25
+ "sep_token_id": 3,
26
+ "tokenizer_class": "RobertaTokenizerFast",
27
+ "torch_dtype": "float32",
28
+ "transformers_version": "4.38.2",
29
+ "type_vocab_size": 1,
30
+ "unk_token_id": 2,
31
+ "use_cache": true,
32
+ "vocab_size": 50000
33
+ }
emissions.csv ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud
2
+ 2024-04-06T16:46:30,codecarbon,f61224a3-98ca-4470-bbbe-2a7572aa726d,2059.3586490154266,0.025141290118237136,0.012208310645771738,0.0,99.248,6.0,0,0.12751597603748557,0.0034282433283328996,0.1309442193658184,Belgium,BEL,flanders,,,Linux-5.15.0-97-generic-x86_64-with-glibc2.31,3.10.4,2,Intel(R) Core(TM) i9-10920X CPU @ 3.50GHz,1,1 x NVIDIA RTX A5000,4.7027,50.8758,16,machine,N
events.out.tfevents.1712412730.gbw-d-l0134.4020808.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9ef0a7e49b00db099ffa31f9e3c449639c5d8045d409f47acf142e5d26404632
3
+ size 101644
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2b76c43faa3c3a39944af23669b49006b033e1b34351c9a9fc01d86d81505837
3
+ size 497998808
special_tokens_map.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": true,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "cls_token": {
10
+ "content": "<s>",
11
+ "lstrip": false,
12
+ "normalized": true,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "eos_token": {
17
+ "content": "</s>",
18
+ "lstrip": false,
19
+ "normalized": true,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "mask_token": {
24
+ "content": "<mask>",
25
+ "lstrip": true,
26
+ "normalized": true,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "pad_token": {
31
+ "content": "<pad>",
32
+ "lstrip": false,
33
+ "normalized": true,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ },
37
+ "sep_token": {
38
+ "content": "</s>",
39
+ "lstrip": false,
40
+ "normalized": true,
41
+ "rstrip": false,
42
+ "single_word": false
43
+ },
44
+ "unk_token": {
45
+ "content": "<unk>",
46
+ "lstrip": false,
47
+ "normalized": true,
48
+ "rstrip": false,
49
+ "single_word": false
50
+ }
51
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "added_tokens_decoder": {
4
+ "0": {
5
+ "content": "<s>",
6
+ "lstrip": false,
7
+ "normalized": true,
8
+ "rstrip": false,
9
+ "single_word": false,
10
+ "special": true
11
+ },
12
+ "1": {
13
+ "content": "<pad>",
14
+ "lstrip": false,
15
+ "normalized": true,
16
+ "rstrip": false,
17
+ "single_word": false,
18
+ "special": true
19
+ },
20
+ "2": {
21
+ "content": "<unk>",
22
+ "lstrip": false,
23
+ "normalized": true,
24
+ "rstrip": false,
25
+ "single_word": false,
26
+ "special": true
27
+ },
28
+ "3": {
29
+ "content": "</s>",
30
+ "lstrip": false,
31
+ "normalized": true,
32
+ "rstrip": false,
33
+ "single_word": false,
34
+ "special": true
35
+ },
36
+ "4": {
37
+ "content": "<mask>",
38
+ "lstrip": true,
39
+ "normalized": true,
40
+ "rstrip": false,
41
+ "single_word": false,
42
+ "special": true
43
+ }
44
+ },
45
+ "bos_token": "<s>",
46
+ "clean_up_tokenization_spaces": true,
47
+ "cls_token": "<s>",
48
+ "eos_token": "</s>",
49
+ "errors": "replace",
50
+ "mask_token": "<mask>",
51
+ "model_max_length": 512,
52
+ "pad_token": "<pad>",
53
+ "sep_token": "</s>",
54
+ "tokenizer_class": "RobertaTokenizer",
55
+ "trim_offsets": true,
56
+ "unk_token": "<unk>"
57
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2a1de7ae651d9829a686916dedf5ffa27c5ba5ea0df8f47c0957ee28a033e65d
3
+ size 5048
vocab.json ADDED
The diff for this file is too large to render. See raw diff