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# bart_qa_model

This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1504
- F1: 0.7493
- Exact Match: 0.608

## 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: 3.7185140364032e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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 | F1     | Exact Match |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-----------:|
| 2.4874        | 1.0   | 125  | 1.2569          | 0.6897 | 0.545       |
| 1.1954        | 2.0   | 250  | 1.1084          | 0.7424 | 0.6         |
| 0.904         | 3.0   | 375  | 1.1504          | 0.7493 | 0.608       |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["f1"], "base_model": "facebook/bart-base", "model-index": [{"name": "bart_qa_model", "results": []}]}
transformers tensorboard safetensors bart question-answering generated_from_trainer base_model:facebook/bart-base license:apache-2.0 endpoints_compatible region:us