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# pttmario5

This model is a fine-tuned version of [VictorNGomes/pttmario5](https://huggingface.co/VictorNGomes/pttmario5) on the xlsum dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2144

## 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: 24
- eval_batch_size: 24
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 384
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 8
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.5131        | 3.34  | 500  | 2.2600          |
| 2.4594        | 6.69  | 1000 | 2.2144          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["xlsum"], "base_model": "VictorNGomes/pttmario5", "model-index": [{"name": "pttmario5", "results": []}]}
transformers tensorboard safetensors t5 text2text-generation generated_from_trainer dataset:xlsum base_model:VictorNGomes/pttmario5 license:mit autotrain_compatible endpoints_compatible has_space text-generation-inference region:us