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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- tatoeba
metrics:
- bleu
model-index:
- name: MLEAFIT_es2ptT5
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: tatoeba
type: tatoeba
config: es-pt
split: train
args: es-pt
metrics:
- name: Bleu
type: bleu
value: 11.2994
---
<!-- 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. -->
# MLEAFIT_es2ptT5
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the tatoeba dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7472
- Bleu: 11.2994
- Gen Len: 15.8838
## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 2.6856 | 1.0 | 858 | 1.9674 | 8.9672 | 15.7279 |
| 2.1422 | 2.0 | 1716 | 1.7900 | 10.7687 | 15.8897 |
| 2.0298 | 3.0 | 2574 | 1.7472 | 11.2994 | 15.8838 |
### Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
|