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---
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
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