---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_keras_callback
model-index:
- name: RobCaamano/T5_En_to_Es_Take2
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# RobCaamano/T5_En_to_Es_Take2

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:
- Train Loss: 0.5949
- Validation Loss: 0.5687
- Train Bleu: 18.1264
- Train Gen Len: 53.5263
- Epoch: 8

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Bleu | Train Gen Len | Epoch |
|:----------:|:---------------:|:----------:|:-------------:|:-----:|
| 1.0171     | 0.7827          | 9.3294     | 57.7548       | 0     |
| 0.8284     | 0.7058          | 12.1991    | 56.1406       | 1     |
| 0.7588     | 0.6633          | 13.9507    | 55.3832       | 2     |
| 0.7134     | 0.6363          | 15.0824    | 54.9393       | 3     |
| 0.6799     | 0.6153          | 16.0321    | 54.3347       | 4     |
| 0.6529     | 0.5995          | 16.6384    | 54.1043       | 5     |
| 0.6308     | 0.5862          | 17.2840    | 53.9972       | 6     |
| 0.6116     | 0.5753          | 17.6554    | 53.8169       | 7     |
| 0.5949     | 0.5687          | 18.1264    | 53.5263       | 8     |


### Framework versions

- Transformers 4.35.2
- TensorFlow 2.10.1
- Datasets 2.15.0
- Tokenizers 0.15.0