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

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: 0.3668
- Validation Loss: 0.7815
- Train Rouge1: 8.5926
- Train Rouge2: 0.7921
- Train Rougel: 8.5573
- Train Rougelsum: 8.7341
- Train Gen Len: 11.8861
- 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 5.9893     | 2.6002          | 4.4884       | 0.4950       | 4.3454       | 4.3399          | 8.3168        | 0     |
| 2.9777     | 2.0796          | 4.7619       | 0.3300       | 4.7000       | 4.8444          | 10.2723       | 1     |
| 2.3190     | 1.7755          | 6.4356       | 1.0891       | 6.5064       | 6.5535          | 10.6881       | 2     |
| 1.8959     | 1.4532          | 7.4965       | 1.5842       | 7.4257       | 7.5436          | 11.3911       | 3     |
| 1.5823     | 1.2455          | 7.7086       | 2.0792       | 7.4965       | 7.7086          | 11.7673       | 4     |
| 1.3569     | 1.1076          | 8.4866       | 2.0792       | 8.4866       | 8.6987          | 11.8861       | 5     |
| 1.2095     | 1.0615          | 8.4866       | 2.0792       | 8.4866       | 8.6987          | 11.9802       | 6     |
| 1.1007     | 0.9902          | 8.9109       | 2.2772       | 8.7694       | 8.9816          | 11.9455       | 7     |
| 1.0050     | 0.9564          | 8.9109       | 2.2772       | 8.7694       | 8.9816          | 11.9455       | 8     |
| 0.9284     | 0.8988          | 8.6987       | 1.7822       | 8.6752       | 8.8166          | 11.9307       | 9     |
| 0.8636     | 0.8796          | 8.6987       | 1.7822       | 8.6752       | 8.8166          | 11.9109       | 10    |
| 0.8182     | 0.8624          | 8.3687       | 1.2871       | 8.3628       | 8.5337          | 11.8762       | 11    |
| 0.7744     | 0.8172          | 8.3687       | 1.2871       | 8.3628       | 8.5337          | 11.8812       | 12    |
| 0.7333     | 0.8051          | 8.3687       | 1.2871       | 8.3628       | 8.5337          | 11.9208       | 13    |
| 0.6928     | 0.8167          | 8.2744       | 1.2871       | 8.2744       | 8.4689          | 11.9109       | 14    |
| 0.6587     | 0.7863          | 8.2744       | 1.2871       | 8.2744       | 8.4689          | 11.8960       | 15    |
| 0.6302     | 0.7844          | 8.2744       | 1.2871       | 8.2744       | 8.4689          | 11.8960       | 16    |
| 0.6025     | 0.7772          | 8.2744       | 1.2871       | 8.2744       | 8.4689          | 11.9059       | 17    |
| 0.5816     | 0.7697          | 8.2744       | 1.2871       | 8.2744       | 8.4689          | 11.8861       | 18    |
| 0.5561     | 0.7654          | 8.2744       | 1.2871       | 8.2744       | 8.4689          | 11.8317       | 19    |
| 0.5359     | 0.7703          | 8.2744       | 1.2871       | 8.2744       | 8.4689          | 11.8861       | 20    |
| 0.5144     | 0.7546          | 7.9208       | 0.7921       | 7.9444       | 8.0387          | 11.8564       | 21    |
| 0.4976     | 0.7550          | 7.9208       | 0.7921       | 7.9444       | 8.0387          | 11.8614       | 22    |
| 0.4725     | 0.7612          | 7.9208       | 0.7921       | 7.9444       | 8.0387          | 11.8515       | 23    |
| 0.4520     | 0.7772          | 7.9208       | 0.7921       | 7.9444       | 8.0387          | 11.8218       | 24    |
| 0.4321     | 0.7647          | 7.9208       | 0.7921       | 7.9444       | 8.0387          | 11.8069       | 25    |
| 0.4157     | 0.7598          | 8.4866       | 0.7921       | 8.4335       | 8.5573          | 11.8218       | 26    |
| 0.3985     | 0.7657          | 8.7694       | 1.2871       | 8.7694       | 8.9816          | 11.8812       | 27    |
| 0.3863     | 0.7613          | 8.4158       | 0.7921       | 8.4158       | 8.4689          | 11.8218       | 28    |
| 0.3668     | 0.7815          | 8.5926       | 0.7921       | 8.5573       | 8.7341          | 11.8861       | 29    |


### Framework versions

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