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--- |
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license: apache-2.0 |
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base_model: distilbert-base-cased-distilled-squad |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilbert-base-cased-distilled-squad-finetuned-squad |
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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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# distilbert-base-cased-distilled-squad-finetuned-squad |
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This model is a fine-tuned version of [distilbert-base-cased-distilled-squad](https://huggingface.co/distilbert-base-cased-distilled-squad) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.3012 |
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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: 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 30 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 66 | 2.4569 | |
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| No log | 2.0 | 132 | 2.3201 | |
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| No log | 3.0 | 198 | 2.3281 | |
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| No log | 4.0 | 264 | 2.3895 | |
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| No log | 5.0 | 330 | 2.7032 | |
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| No log | 6.0 | 396 | 2.9461 | |
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| No log | 7.0 | 462 | 3.2856 | |
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| 1.4273 | 8.0 | 528 | 3.4643 | |
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| 1.4273 | 9.0 | 594 | 3.7349 | |
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| 1.4273 | 10.0 | 660 | 4.1377 | |
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| 1.4273 | 11.0 | 726 | 4.2097 | |
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| 1.4273 | 12.0 | 792 | 4.3009 | |
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| 1.4273 | 13.0 | 858 | 4.4249 | |
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| 1.4273 | 14.0 | 924 | 4.5736 | |
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| 1.4273 | 15.0 | 990 | 4.7452 | |
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| 0.222 | 16.0 | 1056 | 4.8124 | |
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| 0.222 | 17.0 | 1122 | 4.8169 | |
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| 0.222 | 18.0 | 1188 | 5.1680 | |
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| 0.222 | 19.0 | 1254 | 5.0830 | |
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| 0.222 | 20.0 | 1320 | 5.1588 | |
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| 0.222 | 21.0 | 1386 | 5.1933 | |
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| 0.222 | 22.0 | 1452 | 5.2828 | |
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| 0.0343 | 23.0 | 1518 | 5.2054 | |
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| 0.0343 | 24.0 | 1584 | 5.2622 | |
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| 0.0343 | 25.0 | 1650 | 5.2089 | |
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| 0.0343 | 26.0 | 1716 | 5.2026 | |
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| 0.0343 | 27.0 | 1782 | 5.3382 | |
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| 0.0343 | 28.0 | 1848 | 5.2926 | |
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| 0.0343 | 29.0 | 1914 | 5.3003 | |
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| 0.0343 | 30.0 | 1980 | 5.3012 | |
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### Framework versions |
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- Transformers 4.33.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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