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

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: 0.2133
- Validation Loss: 0.6999
- Train Rouge1: 8.9109
- Train Rouge2: 1.3861
- Train Rougel: 8.9463
- Train Rougelsum: 8.9463
- Train Gen Len: 11.9010
- Epoch: 22

## 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 5.3441     | 2.0990          | 3.1931       | 0.4400       | 3.2577       | 3.2151          | 12.2277       | 0     |
| 2.2977     | 1.5680          | 7.0014       | 1.0891       | 7.0651       | 6.9307          | 11.3267       | 1     |
| 1.7363     | 1.2611          | 7.0674       | 1.0891       | 7.1287       | 7.0745          | 11.5545       | 2     |
| 1.4302     | 1.0860          | 8.3805       | 2.4257       | 8.4158       | 8.4158          | 11.8069       | 3     |
| 1.2082     | 0.9516          | 8.3805       | 2.4257       | 8.4158       | 8.4158          | 11.8861       | 4     |
| 1.0516     | 0.8511          | 8.3805       | 2.4257       | 8.4158       | 8.4158          | 12.0149       | 5     |
| 0.9244     | 0.7961          | 8.9109       | 2.4257       | 8.9109       | 8.9109          | 11.9950       | 6     |
| 0.8280     | 0.7524          | 8.9109       | 2.3762       | 8.8755       | 8.9109          | 11.9802       | 7     |
| 0.7521     | 0.7230          | 8.9109       | 2.3762       | 8.8755       | 8.9109          | 11.9406       | 8     |
| 0.6888     | 0.6988          | 8.9109       | 2.3762       | 8.8755       | 8.9109          | 11.9307       | 9     |
| 0.6330     | 0.6676          | 8.6634       | 1.7822       | 8.6810       | 8.6103          | 11.9109       | 10    |
| 0.5835     | 0.6465          | 7.7793       | 1.2871       | 7.9208       | 7.9208          | 11.9010       | 11    |
| 0.5299     | 0.6289          | 8.4158       | 1.2871       | 8.4158       | 8.4335          | 11.9356       | 12    |
| 0.4876     | 0.6310          | 8.4158       | 1.2871       | 8.4158       | 8.4335          | 11.8911       | 13    |
| 0.4402     | 0.6207          | 8.4158       | 1.2871       | 8.4158       | 8.4335          | 11.9109       | 14    |
| 0.4068     | 0.6237          | 8.4158       | 1.2871       | 8.4158       | 8.4335          | 11.9158       | 15    |
| 0.3686     | 0.6314          | 8.4158       | 1.2871       | 8.4158       | 8.4335          | 11.9356       | 16    |
| 0.3359     | 0.6296          | 8.9109       | 1.2871       | 8.9109       | 8.9463          | 11.8960       | 17    |
| 0.3090     | 0.6569          | 8.9109       | 1.3861       | 8.9463       | 8.9463          | 11.8960       | 18    |
| 0.2774     | 0.6649          | 8.9109       | 1.3861       | 8.9463       | 8.9463          | 11.8762       | 19    |
| 0.2567     | 0.6818          | 8.9109       | 1.3861       | 8.9463       | 8.9463          | 11.9109       | 20    |
| 0.2320     | 0.7029          | 8.9109       | 1.3861       | 8.9463       | 8.9463          | 11.9059       | 21    |
| 0.2133     | 0.6999          | 8.9109       | 1.3861       | 8.9463       | 8.9463          | 11.9010       | 22    |


### Framework versions

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