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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: junk |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# junk |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 8.1252 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0001 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 30 |
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- num_epochs: 100 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 10.42 | 1.25 | 5 | 10.1940 | |
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| 10.1087 | 2.5 | 10 | 9.7539 | |
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| 9.7572 | 3.75 | 15 | 9.4707 | |
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| 9.5321 | 5.0 | 20 | 9.2852 | |
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| 9.13 | 6.25 | 25 | 9.1155 | |
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| 8.9989 | 7.5 | 30 | 8.9138 | |
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| 8.7422 | 8.75 | 35 | 8.7181 | |
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| 8.5133 | 10.0 | 40 | 8.5220 | |
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| 8.0836 | 11.25 | 45 | 8.3687 | |
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| 7.8212 | 12.5 | 50 | 8.2344 | |
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| 7.6616 | 13.75 | 55 | 8.1437 | |
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| 7.4743 | 15.0 | 60 | 8.0750 | |
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| 7.1668 | 16.25 | 65 | 8.0275 | |
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| 7.0485 | 17.5 | 70 | 7.9937 | |
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| 6.9619 | 18.75 | 75 | 7.9525 | |
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| 6.8705 | 20.0 | 80 | 7.9584 | |
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| 6.6232 | 21.25 | 85 | 7.9238 | |
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| 6.6423 | 22.5 | 90 | 7.9155 | |
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| 6.5876 | 23.75 | 95 | 7.9088 | |
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| 6.5075 | 25.0 | 100 | 7.9154 | |
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| 6.4218 | 26.25 | 105 | 7.8957 | |
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| 6.2857 | 27.5 | 110 | 7.9040 | |
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| 6.1833 | 28.75 | 115 | 7.9092 | |
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| 6.1263 | 30.0 | 120 | 7.9198 | |
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| 6.0123 | 31.25 | 125 | 7.9103 | |
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| 5.9111 | 32.5 | 130 | 7.9150 | |
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| 5.9157 | 33.75 | 135 | 7.9178 | |
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| 5.8237 | 35.0 | 140 | 7.9479 | |
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| 5.6626 | 36.25 | 145 | 7.9358 | |
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| 5.657 | 37.5 | 150 | 7.9548 | |
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| 5.5894 | 38.75 | 155 | 7.9572 | |
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| 5.5157 | 40.0 | 160 | 7.9800 | |
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| 5.4606 | 41.25 | 165 | 7.9481 | |
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| 5.2962 | 42.5 | 170 | 7.9568 | |
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| 5.2877 | 43.75 | 175 | 7.9720 | |
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| 5.2395 | 45.0 | 180 | 7.9709 | |
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| 5.1394 | 46.25 | 185 | 7.9900 | |
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| 5.0096 | 47.5 | 190 | 8.0010 | |
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| 4.9646 | 48.75 | 195 | 8.0105 | |
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| 4.973 | 50.0 | 200 | 8.0182 | |
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| 4.866 | 51.25 | 205 | 8.0310 | |
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| 4.8044 | 52.5 | 210 | 8.0372 | |
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| 4.7804 | 53.75 | 215 | 8.0387 | |
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| 4.7187 | 55.0 | 220 | 8.0166 | |
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| 4.6399 | 56.25 | 225 | 8.0598 | |
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| 4.6644 | 57.5 | 230 | 8.0465 | |
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| 4.5318 | 58.75 | 235 | 8.0482 | |
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| 4.4451 | 60.0 | 240 | 8.0538 | |
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| 4.4442 | 61.25 | 245 | 8.0473 | |
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| 4.3778 | 62.5 | 250 | 8.0517 | |
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| 4.4453 | 63.75 | 255 | 8.0740 | |
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| 4.3813 | 65.0 | 260 | 8.0658 | |
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| 4.2654 | 66.25 | 265 | 8.0764 | |
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| 4.2278 | 67.5 | 270 | 8.0737 | |
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| 4.2212 | 68.75 | 275 | 8.0952 | |
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| 4.1481 | 70.0 | 280 | 8.0877 | |
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| 4.162 | 71.25 | 285 | 8.0882 | |
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| 4.077 | 72.5 | 290 | 8.0813 | |
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| 4.0134 | 73.75 | 295 | 8.0862 | |
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| 3.9975 | 75.0 | 300 | 8.0980 | |
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| 3.9174 | 76.25 | 305 | 8.0989 | |
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| 3.9748 | 77.5 | 310 | 8.0903 | |
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| 3.9362 | 78.75 | 315 | 8.1109 | |
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| 3.8585 | 80.0 | 320 | 8.1049 | |
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| 3.8832 | 81.25 | 325 | 8.1076 | |
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| 3.8799 | 82.5 | 330 | 8.1078 | |
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| 3.8354 | 83.75 | 335 | 8.1073 | |
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| 3.8073 | 85.0 | 340 | 8.1182 | |
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| 3.8701 | 86.25 | 345 | 8.1179 | |
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| 3.7696 | 87.5 | 350 | 8.1204 | |
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| 3.7907 | 88.75 | 355 | 8.1187 | |
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| 3.7428 | 90.0 | 360 | 8.1172 | |
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| 3.7048 | 91.25 | 365 | 8.1201 | |
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| 3.724 | 92.5 | 370 | 8.1205 | |
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| 3.7308 | 93.75 | 375 | 8.1191 | |
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| 3.7665 | 95.0 | 380 | 8.1211 | |
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| 3.6804 | 96.25 | 385 | 8.1244 | |
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| 3.6001 | 97.5 | 390 | 8.1220 | |
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| 3.6411 | 98.75 | 395 | 8.1245 | |
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| 3.6321 | 100.0 | 400 | 8.1252 | |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.3.0 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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