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--- |
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license: apache-2.0 |
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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-uncased-finetuned-PubmedQA |
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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-uncased-finetuned-PubmedQA |
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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: 4.2957 |
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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: 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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| No log | 1.0 | 21 | 4.6513 | |
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| No log | 2.0 | 42 | 4.1809 | |
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| No log | 3.0 | 63 | 4.1888 | |
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| No log | 4.0 | 84 | 4.0779 | |
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| No log | 5.0 | 105 | 4.1221 | |
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| No log | 6.0 | 126 | 4.1381 | |
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| No log | 7.0 | 147 | 4.0619 | |
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| No log | 8.0 | 168 | 4.1242 | |
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| No log | 9.0 | 189 | 4.1044 | |
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| No log | 10.0 | 210 | 4.1699 | |
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| No log | 11.0 | 231 | 4.1761 | |
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| No log | 12.0 | 252 | 4.3132 | |
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| No log | 13.0 | 273 | 4.2233 | |
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| No log | 14.0 | 294 | 4.3036 | |
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| No log | 15.0 | 315 | 4.2894 | |
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| No log | 16.0 | 336 | 4.3075 | |
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| No log | 17.0 | 357 | 4.3120 | |
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| No log | 18.0 | 378 | 4.2841 | |
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| No log | 19.0 | 399 | 4.3161 | |
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| No log | 20.0 | 420 | 4.2957 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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