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# my_awesome_swag_model

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the swag dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0198
- Accuracy: 0.7906

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.765         | 1.0   | 4597  | 0.5803          | 0.7700   |
| 0.3624        | 2.0   | 9194  | 0.5959          | 0.7865   |
| 0.1495        | 3.0   | 13791 | 1.0198          | 0.7906   |


### Framework versions

- Transformers 4.32.1
- Pytorch 1.13.1
- Datasets 2.14.4
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["swag"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "my_awesome_swag_model", "results": []}]}
transformers pytorch bert multiple-choice generated_from_trainer dataset:swag base_model:bert-base-uncased license:apache-2.0 endpoints_compatible region:us