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# t5-large-translation-spa-guc

This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Bleu: 0.6661
- Gen Len: 17.2141

## 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
- lr_scheduler_warmup_steps: 10
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 0.0           | 1.0   | 7668  | nan             | 0.6661 | 17.2141 |
| 0.0           | 2.0   | 15336 | nan             | 0.6661 | 17.2141 |


### Framework versions

- Transformers 4.35.2
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["bleu"], "base_model": "t5-large", "model-index": [{"name": "t5-large-translation-spa-guc", "results": []}]}
transformers safetensors t5 text2text-generation generated_from_trainer base_model:t5-large license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us