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# cnn_news_ptbr_clm-model

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1684

## 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: 2e-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: 3.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.3691        | 1.0   | 7427  | 1.2717          |
| 1.2697        | 2.0   | 14854 | 1.1871          |
| 1.2403        | 3.0   | 22281 | 1.1684          |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilgpt2", "model-index": [{"name": "cnn_news_ptbr_clm-model", "results": []}]}
transformers pytorch tensorboard safetensors gpt2 text-generation generated_from_trainer base_model:distilgpt2 license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us