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

This model is a fine-tuned version of [google/mt5-large](https://huggingface.co/google/mt5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.3089
- Validation Loss: 0.6932
- Train Rouge1: 8.6987
- Train Rouge2: 1.2871
- Train Rougel: 8.8402
- Train Rougelsum: 8.9993
- Train Gen Len: 11.9208
- Epoch: 23

## 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 7.1544     | 4.7384          | 0.2888       | 0.0          | 0.2888       | 0.2475          | 16.6436       | 0     |
| 5.1911     | 2.1738          | 1.4851       | 0.3438       | 1.5242       | 1.5572          | 12.8564       | 1     |
| 3.6169     | 1.7018          | 5.5693       | 0.5776       | 5.5281       | 5.6931          | 11.6931       | 2     |
| 2.8957     | 1.4685          | 5.8581       | 0.8251       | 5.8581       | 5.9818          | 11.0347       | 3     |
| 1.9769     | 1.2807          | 6.6832       | 1.8152       | 6.8069       | 6.8688          | 11.4505       | 4     |
| 1.5772     | 1.1149          | 6.5064       | 1.1881       | 6.7185       | 6.7185          | 11.6485       | 5     |
| 1.3661     | 0.9914          | 8.4158       | 2.3762       | 8.4158       | 8.5809          | 11.8762       | 6     |
| 1.2399     | 0.8926          | 7.9915       | 2.1287       | 8.0269       | 8.2037          | 11.9604       | 7     |
| 1.0788     | 0.8530          | 8.4158       | 2.1287       | 8.6987       | 8.6987          | 11.9901       | 8     |
| 0.9825     | 0.8069          | 8.8637       | 2.3762       | 8.9345       | 9.0288          | 11.9653       | 9     |
| 0.9078     | 0.7803          | 8.4866       | 1.8812       | 8.6987       | 8.7341          | 11.9653       | 10    |
| 0.8409     | 0.7522          | 8.4866       | 1.8812       | 8.6987       | 8.7341          | 11.9802       | 11    |
| 0.7715     | 0.7171          | 8.2390       | 1.2871       | 8.4512       | 8.4866          | 11.9851       | 12    |
| 0.7063     | 0.7045          | 8.2390       | 1.2871       | 8.4512       | 8.4866          | 11.9505       | 13    |
| 0.6558     | 0.6797          | 8.2390       | 1.2871       | 8.4512       | 8.4866          | 11.9554       | 14    |
| 0.6074     | 0.6651          | 8.2390       | 1.2871       | 8.4512       | 8.4866          | 11.9455       | 15    |
| 0.5571     | 0.6555          | 8.2390       | 1.2871       | 8.4512       | 8.4866          | 11.9356       | 16    |
| 0.5126     | 0.6531          | 8.2390       | 1.2871       | 8.4512       | 8.4866          | 11.9257       | 17    |
| 0.4744     | 0.6481          | 8.2390       | 1.2871       | 8.4512       | 8.4866          | 11.9406       | 18    |
| 0.4356     | 0.6521          | 8.2390       | 1.2871       | 8.4512       | 8.4866          | 11.9406       | 19    |
| 0.3982     | 0.6618          | 8.2390       | 1.2871       | 8.4512       | 8.4866          | 11.9307       | 20    |
| 0.3667     | 0.6628          | 8.2390       | 1.2871       | 8.4512       | 8.4866          | 11.9208       | 21    |
| 0.3371     | 0.6723          | 8.2390       | 1.2871       | 8.4512       | 8.4866          | 11.9307       | 22    |
| 0.3089     | 0.6932          | 8.6987       | 1.2871       | 8.8402       | 8.9993          | 11.9208       | 23    |


### Framework versions

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