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# roberta-base-uy22-cased-finetuned-nlquad

This model is a fine-tuned version of [pln-udelar/roberta-base-uy22-cased](https://huggingface.co/pln-udelar/roberta-base-uy22-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.8520

## 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: 1
- eval_batch_size: 1
- 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 4.9142        | 1.0   | 288408 | 4.8520          |
| 4.9093        | 2.0   | 576816 | 4.8520          |
| 4.9146        | 3.0   | 865224 | 4.8520          |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.2+cu102
- Datasets 2.13.2
- Tokenizers 0.12.1

{"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "roberta-base-uy22-cased-finetuned-nlquad", "results": []}]}
transformers pytorch tensorboard roberta question-answering generated_from_trainer license:mit endpoints_compatible region:us