---
license: apache-2.0
base_model: google-t5/t5-base
tags:
- generated_from_keras_callback
model-index:
- name: jemmyJohnes/t5-base-finetuned-en-to-ro
  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. -->

# jemmyJohnes/t5-base-finetuned-en-to-ro

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:
- Train Loss: 0.4646
- Validation Loss: 1.3576
- Train Bleu: 27.4347
- Train Gen Len: 42.2766
- Epoch: 5

## 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 |
|:----------:|:---------------:|:----------:|:-------------:|:-----:|
| 0.6844     | 1.3261          | 26.5988    | 42.1146       | 0     |
| 0.5396     | 1.3241          | 26.8846    | 42.0145       | 1     |
| 0.5118     | 1.3326          | 27.2074    | 42.2061       | 2     |
| 0.4936     | 1.3441          | 27.4083    | 42.1591       | 3     |
| 0.4777     | 1.3560          | 27.4022    | 42.3367       | 4     |
| 0.4646     | 1.3576          | 27.4347    | 42.2766       | 5     |


### Framework versions

- Transformers 4.41.2
- TensorFlow 2.15.0
- Datasets 2.20.0
- Tokenizers 0.19.1