---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-base-translation-spa-guc
  results: []
---

<!-- 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-guc

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: 1.0136
- Bleu: 1.4957
- Gen Len: 17.8854

## 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

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|
| 1.3933        | 1.0   | 7668   | 1.5107          | 0.8563 | 18.0712 |
| 1.598         | 2.0   | 15336  | 1.3444          | 0.9626 | 18.0648 |
| 1.4277        | 3.0   | 23004  | 1.2551          | 1.1025 | 17.9695 |
| 1.4152        | 4.0   | 30672  | 1.2000          | 1.1361 | 17.9426 |
| 1.1671        | 5.0   | 38340  | 1.1565          | 1.2243 | 17.8416 |
| 1.1777        | 6.0   | 46008  | 1.1217          | 1.2874 | 17.8809 |
| 1.4485        | 7.0   | 53676  | 1.0955          | 1.3318 | 17.9663 |
| 1.3209        | 8.0   | 61344  | 1.0729          | 1.3889 | 17.967  |
| 1.394         | 9.0   | 69012  | 1.0557          | 1.4082 | 17.8646 |
| 1.0608        | 10.0  | 76680  | 1.0435          | 1.4463 | 17.9294 |
| 1.0713        | 11.0  | 84348  | 1.0323          | 1.4558 | 17.9015 |
| 0.976         | 12.0  | 92016  | 1.0248          | 1.4666 | 17.9103 |
| 1.0782        | 13.0  | 99684  | 1.0191          | 1.484  | 17.8929 |
| 1.045         | 14.0  | 107352 | 1.0150          | 1.4869 | 17.8875 |
| 0.9936        | 15.0  | 115020 | 1.0136          | 1.4957 | 17.8854 |


### Framework versions

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