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# t5_large-qg-aas

This model is a fine-tuned version of [unicamp-dl/ptt5-large-t5-vocab](https://huggingface.co/unicamp-dl/ptt5-large-t5-vocab) on the tiagoblima/qg_squad_v1_pt dataset.
It achieves the following results on the evaluation set:
- Loss: 4.9208

## 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: 0.005
- train_batch_size: 64
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.0267        | 1.0   | 808  | 6.6599          |
| 5.1565        | 2.0   | 1616 | 5.7159          |
| 4.7181        | 3.0   | 2424 | 5.2321          |
| 4.4869        | 4.0   | 3232 | 4.9931          |
| 4.4539        | 5.0   | 4040 | 4.9208          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["tiagoblima/qg_squad_v1_pt"], "base_model": "unicamp-dl/ptt5-large-t5-vocab", "model-index": [{"name": "t5_large-qg-aas", "results": []}]}
safetensors generated_from_trainer dataset:tiagoblima/qg_squad_v1_pt base_model:unicamp-dl/ptt5-large-t5-vocab license:mit region:us