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update model card README.md
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README.md
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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: distilbert-medical-question_answer
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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-medical-question_answer
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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: 3.5173
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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 | 3.9834 |
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| No log | 2.0 | 42 | 3.3933 |
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| No log | 3.0 | 63 | 3.3457 |
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| No log | 4.0 | 84 | 3.2997 |
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| No log | 5.0 | 105 | 3.2746 |
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| No log | 6.0 | 126 | 3.2334 |
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| No log | 7.0 | 147 | 3.2655 |
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| No log | 8.0 | 168 | 3.3428 |
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| No log | 9.0 | 189 | 3.3693 |
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| No log | 10.0 | 210 | 3.3065 |
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| No log | 11.0 | 231 | 3.3817 |
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| No log | 12.0 | 252 | 3.4270 |
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| No log | 13.0 | 273 | 3.4121 |
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| No log | 14.0 | 294 | 3.4588 |
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| No log | 15.0 | 315 | 3.4182 |
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| No log | 16.0 | 336 | 3.4626 |
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| No log | 17.0 | 357 | 3.4975 |
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| No log | 18.0 | 378 | 3.4880 |
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| No log | 19.0 | 399 | 3.5034 |
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| No log | 20.0 | 420 | 3.5173 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.3
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- Tokenizers 0.13.3
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