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--- |
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license: apache-2.0 |
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base_model: distilbert-base-uncased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: results |
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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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# results |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 356.9242 |
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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: 5e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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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: 500 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1033.4562 | 1.0 | 401 | 1658.2954 | |
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| 297.1692 | 2.0 | 802 | 841.6623 | |
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| 264.7683 | 3.0 | 1203 | 892.8900 | |
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| 381.3767 | 4.0 | 1604 | 835.1779 | |
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| 194.2236 | 5.0 | 2005 | 901.5334 | |
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| 180.7703 | 6.0 | 2406 | 552.7529 | |
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| 35.9909 | 7.0 | 2807 | 352.0545 | |
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| 184.5064 | 8.0 | 3208 | 356.3049 | |
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| 151.6956 | 9.0 | 3609 | 452.0968 | |
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| 58.0247 | 10.0 | 4010 | 390.8174 | |
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| 41.0552 | 11.0 | 4411 | 473.5340 | |
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| 19.0339 | 12.0 | 4812 | 472.2711 | |
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| 31.2277 | 13.0 | 5213 | 396.7701 | |
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| 38.499 | 14.0 | 5614 | 271.9209 | |
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| 48.1305 | 15.0 | 6015 | 334.2394 | |
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| 16.8594 | 16.0 | 6416 | 314.0363 | |
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| 9.0616 | 17.0 | 6817 | 351.6679 | |
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| 6.1224 | 18.0 | 7218 | 398.0360 | |
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| 16.5143 | 19.0 | 7619 | 372.0302 | |
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| 5.5345 | 20.0 | 8020 | 356.9242 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.19.2 |
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- Tokenizers 0.19.1 |
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