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# 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 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "precision", "recall", "f1"], "base_model": "google/electra-base-discriminator", "model-index": [{"name": "electra-base-multiple-choice-v2", "results": []}]}
transformers safetensors electra multiple-choice generated_from_trainer base_model:google/electra-base-discriminator license:apache-2.0 endpoints_compatible region:us