---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_keras_callback
model-index:
- name: pakawadeep/mt5-small-finetuned-ctfl-augmented_05
  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-augmented_05

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: 0.8421
- Validation Loss: 0.9427
- Train Rouge1: 8.4866
- Train Rouge2: 1.3861
- Train Rougel: 8.4512
- Train Rougelsum: 8.4866
- Train Gen Len: 11.9653
- Epoch: 27

## 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 Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 9.2952     | 2.6353          | 1.5618       | 0.0          | 1.5117       | 1.5288          | 16.5347       | 0     |
| 4.7507     | 1.8159          | 5.5776       | 0.2888       | 5.5611       | 5.5281          | 12.2475       | 1     |
| 3.4617     | 1.8004          | 4.7218       | 0.2888       | 4.7218       | 4.6723          | 11.2723       | 2     |
| 2.8272     | 1.7197          | 6.1410       | 0.8251       | 6.1410       | 6.0113          | 11.1634       | 3     |
| 2.4003     | 1.6328          | 7.7086       | 2.1782       | 7.7086       | 7.7086          | 11.7277       | 4     |
| 2.0952     | 1.5374          | 8.2037       | 2.1782       | 8.2037       | 8.2037          | 11.8713       | 5     |
| 1.8634     | 1.4405          | 8.2037       | 2.1782       | 8.2037       | 8.2037          | 11.9406       | 6     |
| 1.6782     | 1.3615          | 8.2037       | 2.1782       | 8.2037       | 8.2037          | 11.9307       | 7     |
| 1.5333     | 1.3046          | 8.6987       | 2.1782       | 8.6987       | 8.6987          | 11.9356       | 8     |
| 1.4151     | 1.2718          | 8.6987       | 2.1782       | 8.6987       | 8.6987          | 11.9455       | 9     |
| 1.3320     | 1.2373          | 8.6987       | 2.1782       | 8.6987       | 8.6987          | 11.9406       | 10    |
| 1.2664     | 1.2064          | 8.9816       | 2.3762       | 8.9109       | 8.9816          | 11.9158       | 11    |
| 1.2220     | 1.1775          | 8.9816       | 2.3762       | 8.9109       | 8.9816          | 11.9356       | 12    |
| 1.1767     | 1.1413          | 8.9816       | 2.3762       | 8.9109       | 8.9816          | 11.9554       | 13    |
| 1.1303     | 1.1072          | 8.9816       | 2.3762       | 8.9109       | 8.9816          | 11.9505       | 14    |
| 1.0972     | 1.0782          | 8.6987       | 1.7822       | 8.6987       | 8.6987          | 11.9703       | 15    |
| 1.0664     | 1.0578          | 8.4866       | 1.3861       | 8.4512       | 8.4866          | 11.9554       | 16    |
| 1.0392     | 1.0504          | 8.4866       | 1.3861       | 8.4512       | 8.4866          | 11.9752       | 17    |
| 1.0152     | 1.0242          | 8.4866       | 1.3861       | 8.4512       | 8.4866          | 11.9653       | 18    |
| 0.9892     | 1.0193          | 8.4866       | 1.3861       | 8.4512       | 8.4866          | 11.9703       | 19    |
| 0.9627     | 0.9990          | 8.4866       | 1.3861       | 8.4512       | 8.4866          | 11.9802       | 20    |
| 0.9460     | 0.9869          | 8.4866       | 1.3861       | 8.4512       | 8.4866          | 11.9752       | 21    |
| 0.9262     | 0.9735          | 7.9562       | 1.3861       | 7.9562       | 7.9562          | 11.9703       | 22    |
| 0.9083     | 0.9637          | 8.4866       | 1.3861       | 8.4512       | 8.4866          | 11.9554       | 23    |
| 0.8924     | 0.9525          | 8.4866       | 1.3861       | 8.4512       | 8.4866          | 11.9653       | 24    |
| 0.8749     | 0.9622          | 8.4866       | 1.3861       | 8.4512       | 8.4866          | 11.9703       | 25    |
| 0.8588     | 0.9417          | 8.4866       | 1.3861       | 8.4512       | 8.4866          | 11.9554       | 26    |
| 0.8421     | 0.9427          | 8.4866       | 1.3861       | 8.4512       | 8.4866          | 11.9653       | 27    |


### Framework versions

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