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# my_openbookqa_model

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6735
- Accuracy: 0.554

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 310  | 1.0847          | 0.54     |
| 0.5848        | 2.0   | 620  | 1.3971          | 0.566    |
| 0.5848        | 3.0   | 930  | 1.8624          | 0.558    |
| 0.2808        | 4.0   | 1240 | 2.4586          | 0.572    |
| 0.0774        | 5.0   | 1550 | 2.6735          | 0.554    |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "bert-base-uncased", "model-index": [{"name": "my_openbookqa_model", "results": []}]}
transformers tensorboard safetensors bert multiple-choice generated_from_trainer base_model:bert-base-uncased license:apache-2.0 endpoints_compatible region:us