---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5-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. -->

# mt5-base-translation-spa-guc

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4465
- Bleu: 3.088
- Gen Len: 16.5468

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:------:|:-------:|
| 2.3515        | 1.0   | 7668   | 2.3255          | 1.2092 | 16.8878 |
| 2.3229        | 2.0   | 15336  | 2.0343          | 1.3948 | 16.6967 |
| 1.828         | 3.0   | 23004  | 1.8707          | 1.7948 | 16.729  |
| 1.7692        | 4.0   | 30672  | 1.7654          | 1.9816 | 16.5538 |
| 3.1073        | 5.0   | 38340  | 1.6878          | 2.2335 | 16.6662 |
| 1.8726        | 6.0   | 46008  | 1.6280          | 2.4231 | 16.566  |
| 1.8611        | 7.0   | 53676  | 1.5870          | 2.5839 | 16.5724 |
| 1.4777        | 8.0   | 61344  | 1.5476          | 2.7415 | 16.5651 |
| 1.5331        | 9.0   | 69012  | 1.5181          | 2.8105 | 16.5862 |
| 1.6348        | 10.0  | 76680  | 1.4972          | 2.9386 | 16.582  |
| 1.2195        | 11.0  | 84348  | 1.4739          | 2.9339 | 16.578  |
| 1.8651        | 12.0  | 92016  | 1.4647          | 3.0058 | 16.5431 |
| 1.3484        | 13.0  | 99684  | 1.4537          | 3.079  | 16.5513 |
| 1.5675        | 14.0  | 107352 | 1.4484          | 3.0925 | 16.5496 |
| 1.6518        | 15.0  | 115020 | 1.4465          | 3.088  | 16.5468 |


### Framework versions

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