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# bart-finetuned-eli5_precomputed_best_slice-256

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8135

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9792        | 0.4   | 500  | 1.8632          |
| 1.9134        | 0.8   | 1000 | 1.8606          |
| 1.7819        | 1.2   | 1500 | 1.8136          |
| 1.7197        | 1.6   | 2000 | 1.8312          |
| 1.657         | 2.0   | 2500 | 1.8135          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "facebook/bart-large", "model-index": [{"name": "bart-finetuned-eli5_precomputed_best_slice-256", "results": []}]}
transformers tensorboard safetensors bart text2text-generation generated_from_trainer base_model:facebook/bart-large license:apache-2.0 autotrain_compatible endpoints_compatible region:us