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# bart-samsum-finetuning

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3737

## 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: 1e-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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3577        | 1.0   | 19   | 0.4668          |
| 0.2972        | 2.0   | 38   | 0.4162          |
| 0.2621        | 3.0   | 57   | 0.3923          |
| 0.2692        | 4.0   | 76   | 0.3791          |
| 0.2694        | 5.0   | 95   | 0.3737          |


### 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"], "base_model": "google-t5/t5-small", "model-index": [{"name": "bart-samsum-finetuning", "results": []}]}
transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:google-t5/t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us