---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_keras_callback
model-index:
- name: pakawadeep/mt5-base-finetuned-ctfl-augmented_2
  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-augmented_2

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: 0.3928
- Validation Loss: 0.7920
- Train Rouge1: 8.6516
- Train Rouge2: 0.8911
- Train Rougel: 8.6634
- Train Rougelsum: 8.8579
- Train Gen Len: 11.9109
- 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 6.2987     | 3.0653          | 5.1273       | 0.9901       | 5.0743       | 5.2334          | 7.9208        | 0     |
| 2.9686     | 2.1339          | 6.0644       | 1.3201       | 6.1056       | 6.1056          | 9.7277        | 1     |
| 1.9868     | 1.6122          | 6.4356       | 1.6832       | 6.5535       | 6.5064          | 11.2970       | 2     |
| 1.4819     | 1.2447          | 8.2744       | 2.1782       | 8.3663       | 8.4017          | 11.7921       | 3     |
| 1.5597     | 1.4425          | 7.9208       | 2.3762       | 7.9915       | 8.0387          | 11.7376       | 4     |
| 1.2413     | 1.2182          | 8.8048       | 2.1782       | 8.8826       | 8.9109          | 11.8713       | 5     |
| 1.2091     | 1.2376          | 7.7793       | 1.3861       | 7.9208       | 7.9915          | 11.8861       | 6     |
| 1.0808     | 1.1154          | 8.2744       | 1.3861       | 8.4512       | 8.5219          | 11.9455       | 7     |
| 0.9719     | 1.0578          | 7.9915       | 1.1881       | 8.1683       | 8.2037          | 11.9604       | 8     |
| 1.0497     | 1.0547          | 8.4394       | 1.3861       | 8.4925       | 8.6103          | 11.9158       | 9     |
| 0.9426     | 1.0468          | 8.2744       | 1.3861       | 8.4512       | 8.5219          | 11.9455       | 10    |
| 0.8904     | 0.9902          | 8.1565       | 0.8911       | 8.2567       | 8.3687          | 11.9257       | 11    |
| 0.8371     | 0.9637          | 7.7970       | 0.8911       | 7.9562       | 7.9915          | 11.9505       | 12    |
| 0.8025     | 0.9304          | 7.9562       | 0.8911       | 8.0151       | 8.1094          | 11.9109       | 13    |
| 0.7650     | 0.9143          | 8.1565       | 0.8911       | 8.2567       | 8.3687          | 11.9257       | 14    |
| 0.7276     | 0.8825          | 8.1565       | 0.8911       | 8.2567       | 8.3687          | 11.9059       | 15    |
| 0.6877     | 0.8607          | 8.1565       | 0.8911       | 8.2567       | 8.3687          | 11.9257       | 16    |
| 0.6566     | 0.8303          | 8.1565       | 0.8911       | 8.2567       | 8.3687          | 11.9257       | 17    |
| 0.6205     | 0.8124          | 8.1565       | 0.8911       | 8.2567       | 8.3687          | 11.9307       | 18    |
| 0.5878     | 0.7924          | 8.1565       | 0.8911       | 8.2567       | 8.3687          | 11.9257       | 19    |
| 0.5535     | 0.7724          | 8.1565       | 0.8911       | 8.2567       | 8.3687          | 11.8911       | 20    |
| 0.5243     | 0.7751          | 8.1565       | 0.8911       | 8.2567       | 8.3687          | 11.9109       | 21    |
| 0.5444     | 0.8057          | 8.1565       | 0.8911       | 8.2567       | 8.3687          | 11.8911       | 22    |
| 0.5281     | 0.7875          | 8.1565       | 0.8911       | 8.2567       | 8.3687          | 11.8663       | 23    |
| 0.4990     | 0.7810          | 8.1565       | 0.8911       | 8.2567       | 8.3687          | 11.8762       | 24    |
| 0.4762     | 0.7858          | 8.6516       | 0.8911       | 8.6634       | 8.8579          | 11.8812       | 25    |
| 0.4538     | 0.7793          | 8.6516       | 0.8911       | 8.6634       | 8.8579          | 11.9158       | 26    |
| 0.4330     | 0.7813          | 8.6516       | 0.8911       | 8.6634       | 8.8579          | 11.8762       | 27    |
| 0.4142     | 0.7725          | 8.6516       | 0.8911       | 8.6634       | 8.8579          | 11.9307       | 28    |
| 0.3928     | 0.7920          | 8.6516       | 0.8911       | 8.6634       | 8.8579          | 11.9109       | 29    |


### Framework versions

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