Developer9215/my_billsum_summerize_model
Browse files- README.md +189 -0
- config.json +60 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- special_tokens_map.json +125 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +939 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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| 2 |
+
library_name: transformers
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+
license: apache-2.0
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+
base_model: google-t5/t5-small
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tags:
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- generated_from_trainer
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+
metrics:
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- rouge
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+
model-index:
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- name: my_awesome_billsum_model
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| 11 |
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results: []
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| 12 |
+
---
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| 13 |
+
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| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 15 |
+
should probably proofread and complete it, then remove this comment. -->
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| 16 |
+
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| 17 |
+
# my_awesome_billsum_model
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| 18 |
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+
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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+
It achieves the following results on the evaluation set:
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| 21 |
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- Loss: 2.4816
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| 22 |
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- Rouge1: 0.1518
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| 23 |
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- Rouge2: 0.0524
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- Rougel: 0.1233
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- Rougelsum: 0.1233
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| 26 |
+
- Gen Len: 20.0
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| 27 |
+
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| 28 |
+
## Model description
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| 29 |
+
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| 30 |
+
More information needed
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| 31 |
+
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## Intended uses & limitations
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| 33 |
+
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| 34 |
+
More information needed
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| 35 |
+
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| 36 |
+
## Training and evaluation data
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| 37 |
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| 38 |
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More information needed
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| 39 |
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| 40 |
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## Training procedure
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| 41 |
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| 42 |
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### Training hyperparameters
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| 43 |
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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| 50 |
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- lr_scheduler_type: linear
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- num_epochs: 4
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- mixed_precision_training: Native AMP
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| 53 |
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| 54 |
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### Training results
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| 55 |
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| 56 |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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| 57 |
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|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
|
| 58 |
+
| 4.268 | 0.0323 | 2 | 4.0251 | 0.1453 | 0.049 | 0.1205 | 0.1206 | 20.0 |
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| 59 |
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| 4.3633 | 0.0645 | 4 | 3.8986 | 0.1452 | 0.048 | 0.1204 | 0.1204 | 20.0 |
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| 60 |
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| 4.3121 | 0.0968 | 6 | 3.6697 | 0.1448 | 0.0478 | 0.1204 | 0.1205 | 20.0 |
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| 61 |
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| 4.2318 | 0.1290 | 8 | 3.5606 | 0.1441 | 0.047 | 0.12 | 0.1198 | 20.0 |
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| 62 |
+
| 4.0339 | 0.1613 | 10 | 3.4744 | 0.1418 | 0.0456 | 0.1177 | 0.1177 | 20.0 |
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| 63 |
+
| 3.6264 | 0.1935 | 12 | 3.3756 | 0.1416 | 0.0452 | 0.1177 | 0.1176 | 20.0 |
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| 64 |
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| 3.4664 | 0.2258 | 14 | 3.3096 | 0.142 | 0.0453 | 0.1179 | 0.118 | 20.0 |
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| 65 |
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| 3.8028 | 0.2581 | 16 | 3.2569 | 0.1414 | 0.045 | 0.1171 | 0.1171 | 20.0 |
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| 66 |
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| 3.4616 | 0.2903 | 18 | 3.1908 | 0.1411 | 0.0445 | 0.1169 | 0.1169 | 20.0 |
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| 67 |
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| 3.3461 | 0.3226 | 20 | 3.1492 | 0.1405 | 0.0441 | 0.1164 | 0.1165 | 20.0 |
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| 68 |
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| 3.4124 | 0.3548 | 22 | 3.1140 | 0.1384 | 0.0425 | 0.1147 | 0.1147 | 20.0 |
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| 69 |
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| 3.5316 | 0.3871 | 24 | 3.0805 | 0.1377 | 0.0416 | 0.114 | 0.1138 | 20.0 |
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| 70 |
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| 3.6249 | 0.4194 | 26 | 3.0506 | 0.1369 | 0.0415 | 0.1134 | 0.1132 | 20.0 |
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| 71 |
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| 3.3319 | 0.4516 | 28 | 3.0240 | 0.1372 | 0.0423 | 0.1141 | 0.1138 | 20.0 |
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| 72 |
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| 3.3236 | 0.4839 | 30 | 2.9971 | 0.1357 | 0.041 | 0.1122 | 0.1121 | 20.0 |
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| 73 |
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| 3.1302 | 0.5161 | 32 | 2.9692 | 0.1343 | 0.0401 | 0.1111 | 0.1111 | 20.0 |
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| 74 |
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| 3.0403 | 0.5484 | 34 | 2.9456 | 0.1348 | 0.0404 | 0.1112 | 0.1111 | 20.0 |
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| 75 |
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| 3.1758 | 0.5806 | 36 | 2.9237 | 0.1347 | 0.0397 | 0.1103 | 0.1102 | 20.0 |
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| 76 |
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| 3.1001 | 0.6129 | 38 | 2.9027 | 0.1336 | 0.0396 | 0.11 | 0.1099 | 20.0 |
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| 77 |
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| 3.2354 | 0.6452 | 40 | 2.8834 | 0.1325 | 0.0394 | 0.1096 | 0.1095 | 20.0 |
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| 78 |
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| 3.1656 | 0.6774 | 42 | 2.8654 | 0.1336 | 0.0398 | 0.1102 | 0.1102 | 20.0 |
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| 79 |
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| 2.9644 | 0.7097 | 44 | 2.8487 | 0.1328 | 0.0399 | 0.1102 | 0.1102 | 20.0 |
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| 80 |
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| 3.0808 | 0.7419 | 46 | 2.8332 | 0.1324 | 0.0387 | 0.1095 | 0.1094 | 20.0 |
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| 81 |
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| 3.0343 | 0.7742 | 48 | 2.8182 | 0.1318 | 0.0386 | 0.1094 | 0.1093 | 20.0 |
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| 82 |
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| 3.1966 | 0.8065 | 50 | 2.8040 | 0.1316 | 0.0387 | 0.1092 | 0.1091 | 20.0 |
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| 83 |
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| 2.9742 | 0.8387 | 52 | 2.7902 | 0.1314 | 0.039 | 0.1094 | 0.1093 | 20.0 |
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| 84 |
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| 3.0503 | 0.8710 | 54 | 2.7770 | 0.1312 | 0.0385 | 0.109 | 0.1089 | 20.0 |
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| 85 |
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| 2.9351 | 0.9032 | 56 | 2.7645 | 0.1296 | 0.0376 | 0.1077 | 0.1077 | 20.0 |
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| 86 |
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| 2.9957 | 0.9355 | 58 | 2.7530 | 0.1286 | 0.036 | 0.1066 | 0.1064 | 20.0 |
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| 87 |
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| 3.1846 | 0.9677 | 60 | 2.7419 | 0.1292 | 0.0364 | 0.1068 | 0.1065 | 20.0 |
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| 88 |
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| 2.9204 | 1.0 | 62 | 2.7313 | 0.1299 | 0.0378 | 0.1071 | 0.1069 | 20.0 |
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| 89 |
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| 2.929 | 1.0323 | 64 | 2.7212 | 0.1306 | 0.0382 | 0.1076 | 0.1075 | 20.0 |
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| 90 |
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| 2.8434 | 1.0645 | 66 | 2.7119 | 0.1304 | 0.0379 | 0.1075 | 0.1074 | 20.0 |
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| 91 |
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| 2.8771 | 1.0968 | 68 | 2.7028 | 0.1317 | 0.0393 | 0.1088 | 0.1086 | 20.0 |
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| 92 |
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| 3.1287 | 1.1290 | 70 | 2.6942 | 0.134 | 0.0417 | 0.1107 | 0.1106 | 20.0 |
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| 93 |
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| 3.0005 | 1.1613 | 72 | 2.6857 | 0.134 | 0.0416 | 0.1104 | 0.1104 | 20.0 |
|
| 94 |
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| 3.0564 | 1.1935 | 74 | 2.6775 | 0.1355 | 0.0428 | 0.1113 | 0.1112 | 20.0 |
|
| 95 |
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| 2.971 | 1.2258 | 76 | 2.6694 | 0.1353 | 0.0427 | 0.1111 | 0.111 | 20.0 |
|
| 96 |
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| 2.7086 | 1.2581 | 78 | 2.6620 | 0.1345 | 0.042 | 0.1104 | 0.1104 | 20.0 |
|
| 97 |
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| 3.0022 | 1.2903 | 80 | 2.6546 | 0.1356 | 0.0423 | 0.111 | 0.1109 | 20.0 |
|
| 98 |
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| 3.0974 | 1.3226 | 82 | 2.6473 | 0.1355 | 0.0427 | 0.111 | 0.1109 | 20.0 |
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| 99 |
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| 2.951 | 1.3548 | 84 | 2.6403 | 0.1352 | 0.0423 | 0.1107 | 0.1106 | 20.0 |
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| 100 |
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| 2.839 | 1.3871 | 86 | 2.6336 | 0.1363 | 0.0432 | 0.1117 | 0.1115 | 20.0 |
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| 101 |
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| 2.9645 | 1.4194 | 88 | 2.6274 | 0.1352 | 0.0424 | 0.1111 | 0.1109 | 20.0 |
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| 102 |
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| 2.9434 | 1.4516 | 90 | 2.6214 | 0.1358 | 0.0429 | 0.1115 | 0.1113 | 20.0 |
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| 103 |
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| 3.0342 | 1.4839 | 92 | 2.6157 | 0.1372 | 0.0437 | 0.1126 | 0.1123 | 20.0 |
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| 104 |
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| 2.7461 | 1.5161 | 94 | 2.6103 | 0.1369 | 0.0434 | 0.1124 | 0.1121 | 20.0 |
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| 105 |
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| 2.9312 | 1.5484 | 96 | 2.6051 | 0.1378 | 0.0433 | 0.1128 | 0.1127 | 20.0 |
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| 106 |
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| 2.625 | 1.5806 | 98 | 2.6002 | 0.1381 | 0.0434 | 0.1133 | 0.1131 | 20.0 |
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| 107 |
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| 3.0115 | 1.6129 | 100 | 2.5953 | 0.1379 | 0.0438 | 0.1133 | 0.1131 | 20.0 |
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| 108 |
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| 2.7255 | 1.6452 | 102 | 2.5908 | 0.1375 | 0.043 | 0.1129 | 0.1126 | 20.0 |
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| 109 |
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| 2.9205 | 1.6774 | 104 | 2.5863 | 0.1376 | 0.0435 | 0.1129 | 0.1128 | 20.0 |
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| 110 |
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| 2.8637 | 1.7097 | 106 | 2.5821 | 0.1377 | 0.0431 | 0.1128 | 0.1126 | 20.0 |
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| 111 |
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| 2.963 | 1.7419 | 108 | 2.5777 | 0.1385 | 0.0435 | 0.1131 | 0.1131 | 20.0 |
|
| 112 |
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| 2.8061 | 1.7742 | 110 | 2.5736 | 0.139 | 0.0438 | 0.1133 | 0.1131 | 20.0 |
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| 113 |
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| 2.6968 | 1.8065 | 112 | 2.5699 | 0.1398 | 0.0445 | 0.1141 | 0.114 | 20.0 |
|
| 114 |
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| 2.8953 | 1.8387 | 114 | 2.5663 | 0.1401 | 0.0445 | 0.1146 | 0.1144 | 20.0 |
|
| 115 |
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| 2.8168 | 1.8710 | 116 | 2.5630 | 0.141 | 0.0452 | 0.115 | 0.1148 | 20.0 |
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| 116 |
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| 2.7862 | 1.9032 | 118 | 2.5599 | 0.1414 | 0.0443 | 0.1148 | 0.1146 | 20.0 |
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| 117 |
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| 2.8674 | 1.9355 | 120 | 2.5567 | 0.1414 | 0.0437 | 0.1148 | 0.1146 | 20.0 |
|
| 118 |
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| 3.0229 | 1.9677 | 122 | 2.5537 | 0.1413 | 0.0436 | 0.1144 | 0.1144 | 20.0 |
|
| 119 |
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| 2.9148 | 2.0 | 124 | 2.5506 | 0.1423 | 0.0446 | 0.1154 | 0.1153 | 20.0 |
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| 120 |
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| 2.7515 | 2.0323 | 126 | 2.5475 | 0.1433 | 0.0456 | 0.1164 | 0.1163 | 20.0 |
|
| 121 |
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| 2.558 | 2.0645 | 128 | 2.5447 | 0.1441 | 0.0459 | 0.1167 | 0.1167 | 20.0 |
|
| 122 |
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| 2.9798 | 2.0968 | 130 | 2.5421 | 0.1443 | 0.0467 | 0.1167 | 0.1165 | 20.0 |
|
| 123 |
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| 2.7083 | 2.1290 | 132 | 2.5396 | 0.1458 | 0.0486 | 0.1181 | 0.118 | 20.0 |
|
| 124 |
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| 2.7555 | 2.1613 | 134 | 2.5373 | 0.1456 | 0.0487 | 0.1181 | 0.118 | 20.0 |
|
| 125 |
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| 2.6938 | 2.1935 | 136 | 2.5351 | 0.1465 | 0.0491 | 0.1184 | 0.1185 | 20.0 |
|
| 126 |
+
| 2.9151 | 2.2258 | 138 | 2.5328 | 0.1461 | 0.0491 | 0.1183 | 0.1184 | 20.0 |
|
| 127 |
+
| 2.8597 | 2.2581 | 140 | 2.5307 | 0.1459 | 0.049 | 0.1183 | 0.1183 | 20.0 |
|
| 128 |
+
| 2.9173 | 2.2903 | 142 | 2.5284 | 0.1455 | 0.0484 | 0.1177 | 0.1177 | 20.0 |
|
| 129 |
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| 2.7364 | 2.3226 | 144 | 2.5262 | 0.1468 | 0.049 | 0.1184 | 0.1182 | 20.0 |
|
| 130 |
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| 2.8891 | 2.3548 | 146 | 2.5238 | 0.1479 | 0.0502 | 0.1196 | 0.1195 | 20.0 |
|
| 131 |
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| 2.8471 | 2.3871 | 148 | 2.5215 | 0.1487 | 0.0502 | 0.1201 | 0.1199 | 20.0 |
|
| 132 |
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| 2.8429 | 2.4194 | 150 | 2.5194 | 0.1488 | 0.0504 | 0.1203 | 0.1201 | 20.0 |
|
| 133 |
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| 2.8018 | 2.4516 | 152 | 2.5173 | 0.1488 | 0.0504 | 0.1206 | 0.1204 | 20.0 |
|
| 134 |
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| 2.9817 | 2.4839 | 154 | 2.5156 | 0.1491 | 0.0506 | 0.1207 | 0.1204 | 20.0 |
|
| 135 |
+
| 2.7871 | 2.5161 | 156 | 2.5139 | 0.1492 | 0.0508 | 0.1209 | 0.1208 | 20.0 |
|
| 136 |
+
| 2.902 | 2.5484 | 158 | 2.5123 | 0.1493 | 0.0508 | 0.1209 | 0.1208 | 20.0 |
|
| 137 |
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| 2.7929 | 2.5806 | 160 | 2.5107 | 0.1488 | 0.0506 | 0.1204 | 0.1202 | 20.0 |
|
| 138 |
+
| 2.5541 | 2.6129 | 162 | 2.5093 | 0.1492 | 0.0509 | 0.1211 | 0.1207 | 20.0 |
|
| 139 |
+
| 2.6345 | 2.6452 | 164 | 2.5078 | 0.1492 | 0.0509 | 0.1211 | 0.1207 | 20.0 |
|
| 140 |
+
| 2.809 | 2.6774 | 166 | 2.5065 | 0.1496 | 0.0511 | 0.1213 | 0.121 | 20.0 |
|
| 141 |
+
| 2.5678 | 2.7097 | 168 | 2.5052 | 0.1492 | 0.0509 | 0.121 | 0.1207 | 20.0 |
|
| 142 |
+
| 2.8645 | 2.7419 | 170 | 2.5039 | 0.1491 | 0.0507 | 0.1208 | 0.1206 | 20.0 |
|
| 143 |
+
| 2.5699 | 2.7742 | 172 | 2.5027 | 0.1495 | 0.0509 | 0.1213 | 0.1211 | 20.0 |
|
| 144 |
+
| 2.6941 | 2.8065 | 174 | 2.5016 | 0.1494 | 0.0509 | 0.1212 | 0.121 | 20.0 |
|
| 145 |
+
| 2.993 | 2.8387 | 176 | 2.5005 | 0.1498 | 0.0511 | 0.1214 | 0.1212 | 20.0 |
|
| 146 |
+
| 2.7357 | 2.8710 | 178 | 2.4995 | 0.1492 | 0.0503 | 0.1205 | 0.1202 | 20.0 |
|
| 147 |
+
| 2.9 | 2.9032 | 180 | 2.4986 | 0.1505 | 0.0513 | 0.1214 | 0.1213 | 20.0 |
|
| 148 |
+
| 2.6407 | 2.9355 | 182 | 2.4977 | 0.1504 | 0.0514 | 0.1216 | 0.1215 | 20.0 |
|
| 149 |
+
| 2.821 | 2.9677 | 184 | 2.4968 | 0.1503 | 0.0513 | 0.1215 | 0.1214 | 20.0 |
|
| 150 |
+
| 2.8862 | 3.0 | 186 | 2.4959 | 0.1502 | 0.0515 | 0.1215 | 0.1214 | 20.0 |
|
| 151 |
+
| 2.8043 | 3.0323 | 188 | 2.4951 | 0.1503 | 0.0515 | 0.1217 | 0.1216 | 20.0 |
|
| 152 |
+
| 2.9009 | 3.0645 | 190 | 2.4941 | 0.1503 | 0.052 | 0.1222 | 0.122 | 20.0 |
|
| 153 |
+
| 2.66 | 3.0968 | 192 | 2.4932 | 0.1504 | 0.0524 | 0.1223 | 0.1222 | 20.0 |
|
| 154 |
+
| 2.651 | 3.1290 | 194 | 2.4923 | 0.1508 | 0.0529 | 0.1228 | 0.1227 | 20.0 |
|
| 155 |
+
| 2.7322 | 3.1613 | 196 | 2.4915 | 0.1515 | 0.0532 | 0.1233 | 0.1231 | 20.0 |
|
| 156 |
+
| 2.9619 | 3.1935 | 198 | 2.4906 | 0.1509 | 0.0527 | 0.1229 | 0.1228 | 20.0 |
|
| 157 |
+
| 2.6795 | 3.2258 | 200 | 2.4899 | 0.1516 | 0.0529 | 0.1232 | 0.1229 | 20.0 |
|
| 158 |
+
| 2.8061 | 3.2581 | 202 | 2.4892 | 0.1511 | 0.0525 | 0.1229 | 0.1228 | 20.0 |
|
| 159 |
+
| 3.1394 | 3.2903 | 204 | 2.4885 | 0.1515 | 0.0528 | 0.1234 | 0.1232 | 20.0 |
|
| 160 |
+
| 2.5489 | 3.3226 | 206 | 2.4879 | 0.1515 | 0.0528 | 0.1234 | 0.1232 | 20.0 |
|
| 161 |
+
| 2.7789 | 3.3548 | 208 | 2.4873 | 0.1515 | 0.0528 | 0.1234 | 0.1232 | 20.0 |
|
| 162 |
+
| 2.6247 | 3.3871 | 210 | 2.4868 | 0.1519 | 0.0528 | 0.1236 | 0.1234 | 20.0 |
|
| 163 |
+
| 2.7948 | 3.4194 | 212 | 2.4862 | 0.1519 | 0.0528 | 0.1236 | 0.1234 | 20.0 |
|
| 164 |
+
| 2.6146 | 3.4516 | 214 | 2.4858 | 0.1519 | 0.0528 | 0.1236 | 0.1234 | 20.0 |
|
| 165 |
+
| 2.6332 | 3.4839 | 216 | 2.4853 | 0.1517 | 0.0525 | 0.1233 | 0.1232 | 20.0 |
|
| 166 |
+
| 2.6587 | 3.5161 | 218 | 2.4849 | 0.1518 | 0.0526 | 0.1235 | 0.1233 | 20.0 |
|
| 167 |
+
| 2.5784 | 3.5484 | 220 | 2.4845 | 0.1518 | 0.0526 | 0.1235 | 0.1233 | 20.0 |
|
| 168 |
+
| 2.9157 | 3.5806 | 222 | 2.4842 | 0.1518 | 0.0526 | 0.1235 | 0.1233 | 20.0 |
|
| 169 |
+
| 2.925 | 3.6129 | 224 | 2.4838 | 0.1518 | 0.0526 | 0.1235 | 0.1233 | 20.0 |
|
| 170 |
+
| 2.9074 | 3.6452 | 226 | 2.4834 | 0.1519 | 0.0526 | 0.1234 | 0.1233 | 20.0 |
|
| 171 |
+
| 2.6904 | 3.6774 | 228 | 2.4831 | 0.1517 | 0.0526 | 0.1234 | 0.1232 | 20.0 |
|
| 172 |
+
| 2.7654 | 3.7097 | 230 | 2.4828 | 0.1516 | 0.0524 | 0.1232 | 0.1232 | 20.0 |
|
| 173 |
+
| 2.5795 | 3.7419 | 232 | 2.4826 | 0.1517 | 0.0526 | 0.1234 | 0.1232 | 20.0 |
|
| 174 |
+
| 2.746 | 3.7742 | 234 | 2.4823 | 0.1518 | 0.0524 | 0.1233 | 0.1233 | 20.0 |
|
| 175 |
+
| 2.8455 | 3.8065 | 236 | 2.4822 | 0.1517 | 0.0524 | 0.1233 | 0.1232 | 20.0 |
|
| 176 |
+
| 2.7801 | 3.8387 | 238 | 2.4820 | 0.1518 | 0.0524 | 0.1233 | 0.1233 | 20.0 |
|
| 177 |
+
| 2.7036 | 3.8710 | 240 | 2.4818 | 0.1518 | 0.0524 | 0.1233 | 0.1233 | 20.0 |
|
| 178 |
+
| 2.7192 | 3.9032 | 242 | 2.4817 | 0.1518 | 0.0524 | 0.1233 | 0.1233 | 20.0 |
|
| 179 |
+
| 2.6488 | 3.9355 | 244 | 2.4817 | 0.1518 | 0.0524 | 0.1233 | 0.1233 | 20.0 |
|
| 180 |
+
| 2.7053 | 3.9677 | 246 | 2.4816 | 0.1518 | 0.0524 | 0.1233 | 0.1233 | 20.0 |
|
| 181 |
+
| 2.7314 | 4.0 | 248 | 2.4816 | 0.1518 | 0.0524 | 0.1233 | 0.1233 | 20.0 |
|
| 182 |
+
|
| 183 |
+
|
| 184 |
+
### Framework versions
|
| 185 |
+
|
| 186 |
+
- Transformers 4.55.0
|
| 187 |
+
- Pytorch 2.6.0+cu124
|
| 188 |
+
- Datasets 4.0.0
|
| 189 |
+
- Tokenizers 0.21.4
|
config.json
ADDED
|
@@ -0,0 +1,60 @@
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"T5ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"classifier_dropout": 0.0,
|
| 6 |
+
"d_ff": 2048,
|
| 7 |
+
"d_kv": 64,
|
| 8 |
+
"d_model": 512,
|
| 9 |
+
"decoder_start_token_id": 0,
|
| 10 |
+
"dense_act_fn": "relu",
|
| 11 |
+
"dropout_rate": 0.1,
|
| 12 |
+
"eos_token_id": 1,
|
| 13 |
+
"feed_forward_proj": "relu",
|
| 14 |
+
"initializer_factor": 1.0,
|
| 15 |
+
"is_encoder_decoder": true,
|
| 16 |
+
"is_gated_act": false,
|
| 17 |
+
"layer_norm_epsilon": 1e-06,
|
| 18 |
+
"model_type": "t5",
|
| 19 |
+
"n_positions": 512,
|
| 20 |
+
"num_decoder_layers": 6,
|
| 21 |
+
"num_heads": 8,
|
| 22 |
+
"num_layers": 6,
|
| 23 |
+
"output_past": true,
|
| 24 |
+
"pad_token_id": 0,
|
| 25 |
+
"relative_attention_max_distance": 128,
|
| 26 |
+
"relative_attention_num_buckets": 32,
|
| 27 |
+
"task_specific_params": {
|
| 28 |
+
"summarization": {
|
| 29 |
+
"early_stopping": true,
|
| 30 |
+
"length_penalty": 2.0,
|
| 31 |
+
"max_length": 200,
|
| 32 |
+
"min_length": 30,
|
| 33 |
+
"no_repeat_ngram_size": 3,
|
| 34 |
+
"num_beams": 4,
|
| 35 |
+
"prefix": "summarize: "
|
| 36 |
+
},
|
| 37 |
+
"translation_en_to_de": {
|
| 38 |
+
"early_stopping": true,
|
| 39 |
+
"max_length": 300,
|
| 40 |
+
"num_beams": 4,
|
| 41 |
+
"prefix": "translate English to German: "
|
| 42 |
+
},
|
| 43 |
+
"translation_en_to_fr": {
|
| 44 |
+
"early_stopping": true,
|
| 45 |
+
"max_length": 300,
|
| 46 |
+
"num_beams": 4,
|
| 47 |
+
"prefix": "translate English to French: "
|
| 48 |
+
},
|
| 49 |
+
"translation_en_to_ro": {
|
| 50 |
+
"early_stopping": true,
|
| 51 |
+
"max_length": 300,
|
| 52 |
+
"num_beams": 4,
|
| 53 |
+
"prefix": "translate English to Romanian: "
|
| 54 |
+
}
|
| 55 |
+
},
|
| 56 |
+
"torch_dtype": "float32",
|
| 57 |
+
"transformers_version": "4.55.0",
|
| 58 |
+
"use_cache": true,
|
| 59 |
+
"vocab_size": 32128
|
| 60 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"decoder_start_token_id": 0,
|
| 3 |
+
"eos_token_id": 1,
|
| 4 |
+
"pad_token_id": 0,
|
| 5 |
+
"transformers_version": "4.55.0"
|
| 6 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8f2febd7a922173dae38a6b2e30f28e13acbdce958edab5a6dbe42c8cc2c2fe3
|
| 3 |
+
size 242041896
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,125 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<extra_id_0>",
|
| 4 |
+
"<extra_id_1>",
|
| 5 |
+
"<extra_id_2>",
|
| 6 |
+
"<extra_id_3>",
|
| 7 |
+
"<extra_id_4>",
|
| 8 |
+
"<extra_id_5>",
|
| 9 |
+
"<extra_id_6>",
|
| 10 |
+
"<extra_id_7>",
|
| 11 |
+
"<extra_id_8>",
|
| 12 |
+
"<extra_id_9>",
|
| 13 |
+
"<extra_id_10>",
|
| 14 |
+
"<extra_id_11>",
|
| 15 |
+
"<extra_id_12>",
|
| 16 |
+
"<extra_id_13>",
|
| 17 |
+
"<extra_id_14>",
|
| 18 |
+
"<extra_id_15>",
|
| 19 |
+
"<extra_id_16>",
|
| 20 |
+
"<extra_id_17>",
|
| 21 |
+
"<extra_id_18>",
|
| 22 |
+
"<extra_id_19>",
|
| 23 |
+
"<extra_id_20>",
|
| 24 |
+
"<extra_id_21>",
|
| 25 |
+
"<extra_id_22>",
|
| 26 |
+
"<extra_id_23>",
|
| 27 |
+
"<extra_id_24>",
|
| 28 |
+
"<extra_id_25>",
|
| 29 |
+
"<extra_id_26>",
|
| 30 |
+
"<extra_id_27>",
|
| 31 |
+
"<extra_id_28>",
|
| 32 |
+
"<extra_id_29>",
|
| 33 |
+
"<extra_id_30>",
|
| 34 |
+
"<extra_id_31>",
|
| 35 |
+
"<extra_id_32>",
|
| 36 |
+
"<extra_id_33>",
|
| 37 |
+
"<extra_id_34>",
|
| 38 |
+
"<extra_id_35>",
|
| 39 |
+
"<extra_id_36>",
|
| 40 |
+
"<extra_id_37>",
|
| 41 |
+
"<extra_id_38>",
|
| 42 |
+
"<extra_id_39>",
|
| 43 |
+
"<extra_id_40>",
|
| 44 |
+
"<extra_id_41>",
|
| 45 |
+
"<extra_id_42>",
|
| 46 |
+
"<extra_id_43>",
|
| 47 |
+
"<extra_id_44>",
|
| 48 |
+
"<extra_id_45>",
|
| 49 |
+
"<extra_id_46>",
|
| 50 |
+
"<extra_id_47>",
|
| 51 |
+
"<extra_id_48>",
|
| 52 |
+
"<extra_id_49>",
|
| 53 |
+
"<extra_id_50>",
|
| 54 |
+
"<extra_id_51>",
|
| 55 |
+
"<extra_id_52>",
|
| 56 |
+
"<extra_id_53>",
|
| 57 |
+
"<extra_id_54>",
|
| 58 |
+
"<extra_id_55>",
|
| 59 |
+
"<extra_id_56>",
|
| 60 |
+
"<extra_id_57>",
|
| 61 |
+
"<extra_id_58>",
|
| 62 |
+
"<extra_id_59>",
|
| 63 |
+
"<extra_id_60>",
|
| 64 |
+
"<extra_id_61>",
|
| 65 |
+
"<extra_id_62>",
|
| 66 |
+
"<extra_id_63>",
|
| 67 |
+
"<extra_id_64>",
|
| 68 |
+
"<extra_id_65>",
|
| 69 |
+
"<extra_id_66>",
|
| 70 |
+
"<extra_id_67>",
|
| 71 |
+
"<extra_id_68>",
|
| 72 |
+
"<extra_id_69>",
|
| 73 |
+
"<extra_id_70>",
|
| 74 |
+
"<extra_id_71>",
|
| 75 |
+
"<extra_id_72>",
|
| 76 |
+
"<extra_id_73>",
|
| 77 |
+
"<extra_id_74>",
|
| 78 |
+
"<extra_id_75>",
|
| 79 |
+
"<extra_id_76>",
|
| 80 |
+
"<extra_id_77>",
|
| 81 |
+
"<extra_id_78>",
|
| 82 |
+
"<extra_id_79>",
|
| 83 |
+
"<extra_id_80>",
|
| 84 |
+
"<extra_id_81>",
|
| 85 |
+
"<extra_id_82>",
|
| 86 |
+
"<extra_id_83>",
|
| 87 |
+
"<extra_id_84>",
|
| 88 |
+
"<extra_id_85>",
|
| 89 |
+
"<extra_id_86>",
|
| 90 |
+
"<extra_id_87>",
|
| 91 |
+
"<extra_id_88>",
|
| 92 |
+
"<extra_id_89>",
|
| 93 |
+
"<extra_id_90>",
|
| 94 |
+
"<extra_id_91>",
|
| 95 |
+
"<extra_id_92>",
|
| 96 |
+
"<extra_id_93>",
|
| 97 |
+
"<extra_id_94>",
|
| 98 |
+
"<extra_id_95>",
|
| 99 |
+
"<extra_id_96>",
|
| 100 |
+
"<extra_id_97>",
|
| 101 |
+
"<extra_id_98>",
|
| 102 |
+
"<extra_id_99>"
|
| 103 |
+
],
|
| 104 |
+
"eos_token": {
|
| 105 |
+
"content": "</s>",
|
| 106 |
+
"lstrip": false,
|
| 107 |
+
"normalized": false,
|
| 108 |
+
"rstrip": false,
|
| 109 |
+
"single_word": false
|
| 110 |
+
},
|
| 111 |
+
"pad_token": {
|
| 112 |
+
"content": "<pad>",
|
| 113 |
+
"lstrip": false,
|
| 114 |
+
"normalized": false,
|
| 115 |
+
"rstrip": false,
|
| 116 |
+
"single_word": false
|
| 117 |
+
},
|
| 118 |
+
"unk_token": {
|
| 119 |
+
"content": "<unk>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false
|
| 124 |
+
}
|
| 125 |
+
}
|
spiece.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
|
| 3 |
+
size 791656
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,939 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
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|
|
|
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|
|
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| 1 |
+
{
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| 2 |
+
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| 864 |
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"<extra_id_34>",
|
| 865 |
+
"<extra_id_35>",
|
| 866 |
+
"<extra_id_36>",
|
| 867 |
+
"<extra_id_37>",
|
| 868 |
+
"<extra_id_38>",
|
| 869 |
+
"<extra_id_39>",
|
| 870 |
+
"<extra_id_40>",
|
| 871 |
+
"<extra_id_41>",
|
| 872 |
+
"<extra_id_42>",
|
| 873 |
+
"<extra_id_43>",
|
| 874 |
+
"<extra_id_44>",
|
| 875 |
+
"<extra_id_45>",
|
| 876 |
+
"<extra_id_46>",
|
| 877 |
+
"<extra_id_47>",
|
| 878 |
+
"<extra_id_48>",
|
| 879 |
+
"<extra_id_49>",
|
| 880 |
+
"<extra_id_50>",
|
| 881 |
+
"<extra_id_51>",
|
| 882 |
+
"<extra_id_52>",
|
| 883 |
+
"<extra_id_53>",
|
| 884 |
+
"<extra_id_54>",
|
| 885 |
+
"<extra_id_55>",
|
| 886 |
+
"<extra_id_56>",
|
| 887 |
+
"<extra_id_57>",
|
| 888 |
+
"<extra_id_58>",
|
| 889 |
+
"<extra_id_59>",
|
| 890 |
+
"<extra_id_60>",
|
| 891 |
+
"<extra_id_61>",
|
| 892 |
+
"<extra_id_62>",
|
| 893 |
+
"<extra_id_63>",
|
| 894 |
+
"<extra_id_64>",
|
| 895 |
+
"<extra_id_65>",
|
| 896 |
+
"<extra_id_66>",
|
| 897 |
+
"<extra_id_67>",
|
| 898 |
+
"<extra_id_68>",
|
| 899 |
+
"<extra_id_69>",
|
| 900 |
+
"<extra_id_70>",
|
| 901 |
+
"<extra_id_71>",
|
| 902 |
+
"<extra_id_72>",
|
| 903 |
+
"<extra_id_73>",
|
| 904 |
+
"<extra_id_74>",
|
| 905 |
+
"<extra_id_75>",
|
| 906 |
+
"<extra_id_76>",
|
| 907 |
+
"<extra_id_77>",
|
| 908 |
+
"<extra_id_78>",
|
| 909 |
+
"<extra_id_79>",
|
| 910 |
+
"<extra_id_80>",
|
| 911 |
+
"<extra_id_81>",
|
| 912 |
+
"<extra_id_82>",
|
| 913 |
+
"<extra_id_83>",
|
| 914 |
+
"<extra_id_84>",
|
| 915 |
+
"<extra_id_85>",
|
| 916 |
+
"<extra_id_86>",
|
| 917 |
+
"<extra_id_87>",
|
| 918 |
+
"<extra_id_88>",
|
| 919 |
+
"<extra_id_89>",
|
| 920 |
+
"<extra_id_90>",
|
| 921 |
+
"<extra_id_91>",
|
| 922 |
+
"<extra_id_92>",
|
| 923 |
+
"<extra_id_93>",
|
| 924 |
+
"<extra_id_94>",
|
| 925 |
+
"<extra_id_95>",
|
| 926 |
+
"<extra_id_96>",
|
| 927 |
+
"<extra_id_97>",
|
| 928 |
+
"<extra_id_98>",
|
| 929 |
+
"<extra_id_99>"
|
| 930 |
+
],
|
| 931 |
+
"clean_up_tokenization_spaces": true,
|
| 932 |
+
"eos_token": "</s>",
|
| 933 |
+
"extra_ids": 100,
|
| 934 |
+
"extra_special_tokens": {},
|
| 935 |
+
"model_max_length": 512,
|
| 936 |
+
"pad_token": "<pad>",
|
| 937 |
+
"tokenizer_class": "T5Tokenizer",
|
| 938 |
+
"unk_token": "<unk>"
|
| 939 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0d4113ba70a87a5676547b459c77ccba023ae6792e26ae4396e95c7238aba595
|
| 3 |
+
size 5496
|