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---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-small-spanish-yoremnokki
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-small-spanish-yoremnokki
This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8622
- Bleu: 10.7378
- Gen Len: 14.22
## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 3.4879 | 1.0 | 839 | 2.3617 | 0.2661 | 14.6218 |
| 2.4168 | 2.0 | 1678 | 2.0854 | 1.8065 | 14.3043 |
| 2.2109 | 3.0 | 2517 | 1.9512 | 5.2629 | 14.2827 |
| 2.1335 | 4.0 | 3356 | 1.8816 | 9.4622 | 14.23 |
| 2.0758 | 5.0 | 4195 | 1.8622 | 10.7378 | 14.22 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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