
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# t5-base-translation-spa-pbb

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2411
- Bleu: 0.608
- Gen Len: 8.108

## 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: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 2.6692        | 1.0   | 304  | 2.9825          | 0.8944 | 6.2582  |
| 2.6593        | 2.0   | 608  | 2.7422          | 0.0    | 6.9895  |
| 2.5452        | 3.0   | 912  | 2.6276          | 0.0    | 7.1924  |
| 2.5998        | 4.0   | 1216 | 2.5437          | 0.0    | 7.3347  |
| 3.0987        | 5.0   | 1520 | 2.4819          | 0.0    | 7.5204  |
| 2.3259        | 6.0   | 1824 | 2.4409          | 0.0    | 7.4466  |
| 3.2006        | 7.0   | 2128 | 2.3988          | 0.6694 | 7.4058  |
| 1.989         | 8.0   | 2432 | 2.3669          | 0.6097 | 8.1383  |
| 2.3702        | 9.0   | 2736 | 2.3464          | 0.9537 | 8.1542  |
| 2.3841        | 10.0  | 3040 | 2.3434          | 0.9045 | 7.7852  |
| 2.2193        | 11.0  | 3344 | 2.3119          | 0.9082 | 8.22    |
| 2.4414        | 12.0  | 3648 | 2.2997          | 0.791  | 8.2569  |
| 1.8003        | 13.0  | 3952 | 2.2848          | 1.0315 | 8.2055  |
| 1.9862        | 14.0  | 4256 | 2.2756          | 0.6622 | 8.2134  |
| 2.3814        | 15.0  | 4560 | 2.2678          | 0.6688 | 8.1634  |
| 2.145         | 16.0  | 4864 | 2.2606          | 0.8214 | 8.2754  |
| 2.1513        | 17.0  | 5168 | 2.2605          | 1.0985 | 8.2635  |
| 2.249         | 18.0  | 5472 | 2.2506          | 1.0695 | 8.1726  |
| 2.3972        | 19.0  | 5776 | 2.2477          | 0.663  | 8.22    |
| 2.1375        | 20.0  | 6080 | 2.2458          | 0.612  | 8.1515  |
| 2.4343        | 21.0  | 6384 | 2.2451          | 0.6825 | 8.1871  |
| 2.9682        | 22.0  | 6688 | 2.2361          | 0.6095 | 8.2306  |
| 1.8138        | 23.0  | 6992 | 2.2411          | 0.608  | 8.108   |


### 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-base", "model-index": [{"name": "t5-base-translation-spa-pbb", "results": []}]}
transformers safetensors t5 text2text-generation generated_from_trainer base_model:t5-base license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us