| --- |
| license: mit |
| base_model: microsoft/deberta-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: FakeNews-deberta-base-html |
| 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. --> |
|
|
| # FakeNews-deberta-base-html |
|
|
| This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3753 |
| - Accuracy: 0.8958 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.4031 | 1.0 | 1605 | 0.4927 | 0.8808 | |
| | 0.3513 | 2.0 | 3210 | 0.3753 | 0.8958 | |
| | 0.5089 | 3.0 | 4815 | 0.6181 | 0.8117 | |
| | 0.46 | 4.0 | 6420 | 0.4084 | 0.9005 | |
| | 0.3085 | 5.0 | 8025 | 0.3917 | 0.9079 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.34.1 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.14.6 |
| - Tokenizers 0.14.1 |
|
|
