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

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: 0.9381
- Validation Loss: 0.9416
- Train Rouge1: 7.9915
- Train Rouge2: 1.3861
- Train Rougel: 7.9562
- Train Rougelsum: 7.9915
- Train Gen Len: 11.9653
- Epoch: 29

## 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 10.7577    | 3.2303          | 0.7164       | 0.0          | 0.7206       | 0.7052          | 16.1683       | 0     |
| 5.8846     | 1.9848          | 1.5545       | 0.0          | 1.5846       | 1.5614          | 16.7376       | 1     |
| 4.2789     | 1.7719          | 5.0684       | 0.7426       | 5.1391       | 5.1155          | 11.6386       | 2     |
| 3.4851     | 1.7527          | 5.2310       | 0.9406       | 5.2310       | 5.2074          | 11.1040       | 3     |
| 2.9892     | 1.7038          | 6.2235       | 0.8251       | 6.3225       | 6.2777          | 11.3812       | 4     |
| 2.6463     | 1.6585          | 8.2037       | 2.1782       | 8.2037       | 8.2037          | 11.4901       | 5     |
| 2.3897     | 1.5964          | 8.6987       | 2.1782       | 8.6987       | 8.4866          | 11.7030       | 6     |
| 2.1794     | 1.5112          | 8.6987       | 2.1782       | 8.6987       | 8.4866          | 11.8317       | 7     |
| 1.9896     | 1.4461          | 8.2037       | 2.1782       | 8.2037       | 8.2037          | 11.9059       | 8     |
| 1.8347     | 1.3770          | 8.2037       | 2.1782       | 8.2037       | 8.2037          | 11.9703       | 9     |
| 1.7101     | 1.3155          | 8.2037       | 2.1782       | 8.2037       | 8.2037          | 11.9505       | 10    |
| 1.6003     | 1.2598          | 8.6987       | 2.1782       | 8.6987       | 8.6987          | 11.9109       | 11    |
| 1.5041     | 1.2367          | 8.6987       | 2.1782       | 8.6987       | 8.6987          | 11.9505       | 12    |
| 1.4309     | 1.2286          | 8.6987       | 2.1782       | 8.6987       | 8.6987          | 11.9554       | 13    |
| 1.3618     | 1.1795          | 8.9109       | 2.3762       | 9.0877       | 8.9816          | 11.9554       | 14    |
| 1.3090     | 1.1625          | 8.9109       | 2.3762       | 9.0877       | 8.9816          | 11.9455       | 15    |
| 1.2669     | 1.1210          | 8.9109       | 2.3762       | 9.0877       | 8.9816          | 11.9554       | 16    |
| 1.2262     | 1.0769          | 8.6987       | 1.7822       | 8.7694       | 8.7341          | 11.9752       | 17    |
| 1.1915     | 1.0724          | 8.4512       | 1.3861       | 8.4866       | 8.4512          | 11.9752       | 18    |
| 1.1562     | 1.0444          | 8.4512       | 1.3861       | 8.4866       | 8.4512          | 11.9703       | 19    |
| 1.1291     | 1.0318          | 8.4512       | 1.3861       | 8.4866       | 8.4512          | 11.9653       | 20    |
| 1.1063     | 1.0321          | 8.4512       | 1.3861       | 8.4866       | 8.4512          | 11.9554       | 21    |
| 1.0786     | 1.0124          | 8.4512       | 1.3861       | 8.4866       | 8.4512          | 11.9604       | 22    |
| 1.0540     | 1.0062          | 8.4512       | 1.3861       | 8.4866       | 8.4512          | 11.9604       | 23    |
| 1.0241     | 0.9787          | 8.4512       | 1.3861       | 8.4866       | 8.4512          | 11.9653       | 24    |
| 1.0086     | 0.9683          | 8.4512       | 1.3861       | 8.4866       | 8.4512          | 11.9703       | 25    |
| 0.9883     | 0.9665          | 8.4512       | 1.3861       | 8.4866       | 8.4512          | 11.9653       | 26    |
| 0.9661     | 0.9521          | 8.4512       | 1.3861       | 8.4866       | 8.4512          | 11.9703       | 27    |
| 0.9543     | 0.9693          | 8.4512       | 1.3861       | 8.4866       | 8.4512          | 11.9703       | 28    |
| 0.9381     | 0.9416          | 7.9915       | 1.3861       | 7.9562       | 7.9915          | 11.9653       | 29    |


### Framework versions

- Transformers 4.38.2
- TensorFlow 2.15.0
- Datasets 2.18.0
- Tokenizers 0.15.2