| --- |
| license: mit |
| base_model: microsoft/deberta-base |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: deberta-base-finetuned-wikitext2-kaggle |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # deberta-base-finetuned-wikitext2-kaggle |
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| This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.4651 |
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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: |
| - learning_rate: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 3.0 |
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| ### Training results |
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| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 3.7156 | 1.0 | 1203 | 3.0922 | |
| | 2.9586 | 2.0 | 2406 | 2.5911 | |
| | 2.6402 | 3.0 | 3609 | 2.4872 | |
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| ### Framework versions |
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| - Transformers 4.35.0 |
| - Pytorch 2.0.0 |
| - Datasets 2.1.0 |
| - Tokenizers 0.14.1 |
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