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# bart-finetuned-eli5_precomputed

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: 9.6500

## 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: 2
- eval_batch_size: 2
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.6463        | 0.05  | 500   | 4.7759          |
| 3.4654        | 0.1   | 1000  | 5.9053          |
| 3.4482        | 0.15  | 1500  | 4.4967          |
| 3.565         | 0.2   | 2000  | 5.9963          |
| 3.6668        | 0.25  | 2500  | 7.3841          |
| 3.6065        | 0.3   | 3000  | 5.0156          |
| 3.3743        | 0.35  | 3500  | 4.0016          |
| 3.3529        | 0.4   | 4000  | 7.0397          |
| 3.5418        | 0.45  | 4500  | 9.1284          |
| 3.4724        | 0.5   | 5000  | 5.0625          |
| 3.4167        | 0.55  | 5500  | 6.0408          |
| 3.4061        | 0.6   | 6000  | 7.1911          |
| 3.6455        | 0.65  | 6500  | 5.6523          |
| 3.5153        | 0.7   | 7000  | 5.8586          |
| 3.4019        | 0.75  | 7500  | 6.6155          |
| 3.4094        | 0.8   | 8000  | 6.0468          |
| 3.399         | 0.85  | 8500  | 6.7307          |
| 3.4732        | 0.9   | 9000  | 11.2534         |
| 3.4973        | 0.95  | 9500  | 8.8126          |
| 3.4901        | 1.0   | 10000 | 7.7330          |
| 3.4378        | 1.05  | 10500 | 8.1397          |
| 3.4239        | 1.1   | 11000 | 7.5238          |
| 3.4238        | 1.15  | 11500 | 10.0907         |
| 3.5335        | 1.2   | 12000 | 9.3069          |
| 3.4442        | 1.25  | 12500 | 9.1980          |
| 3.1866        | 1.3   | 13000 | 10.1322         |
| 3.2806        | 1.35  | 13500 | 9.0616          |
| 3.323         | 1.4   | 14000 | 9.7061          |
| 3.3219        | 1.45  | 14500 | 7.5160          |
| 3.5641        | 1.5   | 15000 | 10.6759         |
| 3.2667        | 1.55  | 15500 | 9.1428          |
| 3.4873        | 1.6   | 16000 | 10.4514         |
| 3.4092        | 1.65  | 16500 | 10.0229         |
| 3.4617        | 1.7   | 17000 | 9.6849          |
| 3.3726        | 1.75  | 17500 | 9.7335          |
| 3.2492        | 1.8   | 18000 | 9.0959          |
| 3.3322        | 1.85  | 18500 | 9.4717          |
| 3.3306        | 1.9   | 19000 | 10.2230         |
| 3.3026        | 1.95  | 19500 | 9.9560          |
| 3.2199        | 2.0   | 20000 | 9.6500          |


### 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", "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