| | --- |
| | license: apache-2.0 |
| | base_model: google/electra-base-discriminator |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - precision |
| | - recall |
| | - f1 |
| | model-index: |
| | - name: electra-base-multiple-choice-v2 |
| | 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-multiple-choice-v2 |
| |
|
| | 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: 0.2899 |
| | - Accuracy: 0.8954 |
| | - Precision: 0.8967 |
| | - Recall: 0.8937 |
| | - F1: 0.8952 |
| |
|
| | ## 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: 2e-05 |
| | - train_batch_size: 128 |
| | - eval_batch_size: 128 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 3 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
| | | No log | 1.0 | 269 | 0.2868 | 0.8794 | 0.8738 | 0.8868 | 0.8803 | |
| | | 0.3357 | 2.0 | 538 | 0.2767 | 0.8939 | 0.8956 | 0.8917 | 0.8937 | |
| | | 0.3357 | 3.0 | 807 | 0.2899 | 0.8954 | 0.8967 | 0.8937 | 0.8952 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.35.2 |
| | - Pytorch 2.1.0+cu121 |
| | - Datasets 2.16.1 |
| | - Tokenizers 0.15.0 |
| |
|
