---
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_keras_callback
model-index:
- name: pakawadeep/mt5-small-finetuned-ctfl-backtranslation_7k
  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. -->

# pakawadeep/mt5-small-finetuned-ctfl-backtranslation_7k

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 8.9972
- Validation Loss: 7.4303
- Train Bleu: 0.0003
- Train Gen Len: 127.0
- Epoch: 2

## 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 |
|:----------:|:---------------:|:----------:|:-------------:|:-----:|
| 18.4580    | 9.0813          | 0.0013     | 3.0           | 0     |
| 10.6168    | 8.0760          | 0.0008     | 50.0          | 1     |
| 8.9972     | 7.4303          | 0.0003     | 127.0         | 2     |


### Framework versions

- Transformers 4.44.2
- TensorFlow 2.17.0
- Datasets 3.0.0
- Tokenizers 0.19.1