| --- |
| license: apache-2.0 |
| base_model: google/electra-base-discriminator |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - precision |
| - recall |
| - f1 |
| model-index: |
| - name: electra-base |
| 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. --> |
|
|
| # electra-base |
|
|
| This model is a fine-tuned version of [google/electra-base-discriminator](https://huggingface.co/google/electra-base-discriminator) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3373 |
| - Accuracy: 0.8875 |
| - Precision: 0.8919 |
| - Recall: 0.8818 |
| - F1: 0.8868 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
| | 0.3187 | 1.0 | 1074 | 0.3036 | 0.8785 | 0.8880 | 0.8663 | 0.8770 | |
| | 0.228 | 2.0 | 2148 | 0.3022 | 0.8861 | 0.8921 | 0.8785 | 0.8853 | |
| | 0.1759 | 3.0 | 3222 | 0.3373 | 0.8875 | 0.8919 | 0.8818 | 0.8868 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.36.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.0 |
|
|
