| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| base_model: google/electra-small-discriminator |
| model-index: |
| - name: test_electra_small |
| 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. --> |
|
|
| # test_electra_small |
|
|
| This model is a fine-tuned version of [google/electra-small-discriminator](https://huggingface.co/google/electra-small-discriminator) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6214 |
| - Accuracy: 0.69 |
|
|
| ## 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: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 3.0 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 0.6806 | 1.0 | 13 | 0.6456 | 0.69 | |
| | 0.6503 | 2.0 | 26 | 0.6261 | 0.69 | |
| | 0.634 | 3.0 | 39 | 0.6214 | 0.69 | |
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|
| ### Framework versions |
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|
| - Transformers 4.37.2 |
| - Pytorch 2.1.1+cpu |
| - Datasets 2.17.0 |
| - Tokenizers 0.15.2 |
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|
