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

This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 5.0781
- Validation Loss: 4.5021
- Train Bleu: 0.0
- Train Gen Len: 21.0
- Epoch: 16

## 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 |
|:----------:|:---------------:|:----------:|:-------------:|:-----:|
| 16.3214    | 7.9429          | 0.0008     | 127.0         | 0     |
| 9.3082     | 7.3301          | 0.0        | 127.0         | 1     |
| 8.1593     | 7.1451          | 0.0        | 127.0         | 2     |
| 7.7440     | 7.0581          | 0.0        | 8.0           | 3     |
| 7.5624     | 7.0120          | 0.0        | 3.0           | 4     |
| 7.4569     | 6.9663          | 0.0        | 3.0           | 5     |
| 7.3873     | 6.9154          | 0.0001     | 114.0         | 6     |
| 7.3206     | 6.8373          | 0.0001     | 127.0         | 7     |
| 7.2175     | 6.7063          | 0.0001     | 127.0         | 8     |
| 7.0942     | 6.4250          | 0.0003     | 127.0         | 9     |
| 6.8748     | 6.0066          | 0.0003     | 127.0         | 10    |
| 6.5383     | 5.5921          | 0.0003     | 127.0         | 11    |
| 6.2094     | 5.2557          | 0.0003     | 127.0         | 12    |
| 5.8157     | 4.9725          | 0.0003     | 127.0         | 13    |
| 5.5098     | 4.7642          | 0.0003     | 127.0         | 14    |
| 5.2683     | 4.6171          | 0.0017     | 127.0         | 15    |
| 5.0781     | 4.5021          | 0.0        | 21.0          | 16    |


### Framework versions

- Transformers 4.44.2
- TensorFlow 2.17.0
- Datasets 3.0.1
- Tokenizers 0.19.1