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# t5-small-xsum-samsum

This model is a fine-tuned version of [adasnew/t5-small-xsum](https://huggingface.co/adasnew/t5-small-xsum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7054
- Rouge1: 0.4359
- Rouge2: 0.1978
- Rougel: 0.3627
- Rougelsum: 0.3628
- Gen Len: 17.1758

## 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: 0.0002
- 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 1.9608        | 1.0   | 1474 | 1.7482          | 0.4267 | 0.1894 | 0.3557 | 0.3556    | 16.6916 |
| 1.7989        | 2.0   | 2948 | 1.7232          | 0.4354 | 0.1972 | 0.361  | 0.3608    | 17.2284 |
| 1.6901        | 3.0   | 4422 | 1.7054          | 0.4359 | 0.1978 | 0.3627 | 0.3628    | 17.1758 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "adasnew/t5-small-xsum", "model-index": [{"name": "t5-small-xsum-samsum", "results": []}]}
transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:adasnew/t5-small-xsum license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us