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# roberta-classifier-pokemon

This model is a fine-tuned version of [TeeA/roberta-classifier-pokemon](https://huggingface.co/TeeA/roberta-classifier-pokemon) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 11.3963
- eval_accuracy: 0.0619
- eval_runtime: 6.6209
- eval_samples_per_second: 209.942
- eval_steps_per_second: 13.14
- epoch: 22.0
- step: 6710

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "TeeA/roberta-classifier-pokemon", "model-index": [{"name": "roberta-classifier-pokemon", "results": []}]}
transformers tensorboard safetensors roberta text-classification generated_from_trainer base_model:TeeA/roberta-classifier-pokemon license:mit autotrain_compatible endpoints_compatible region:us