transformers tensorboard safetensors bert multiple-choice generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-base-uncased-finetuned-swag
  results: []
---

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# bert-base-uncased-finetuned-swag

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3225
- Accuracy: 0.7750

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.6562        | 1.0   | 4597  | 0.6126          | 0.7651   |
| 0.2734        | 2.0   | 9194  | 0.7739          | 0.7702   |
| 0.0846        | 3.0   | 13791 | 1.3225          | 0.7750   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0
