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

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: 0.1781
- Validation Loss: 0.7498
- Train Rouge1: 8.8402
- Train Rouge2: 1.1881
- Train Rougel: 8.8048
- Train Rougelsum: 8.7164
- Train Gen Len: 11.8812
- 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 3.9587     | 1.9327          | 2.7783       | 0.2200       | 2.7524       | 2.7558          | 11.6436       | 0     |
| 1.8568     | 1.4440          | 6.6832       | 1.3201       | 6.6007       | 6.4769          | 11.7376       | 1     |
| 1.5929     | 1.2365          | 6.2235       | 1.0891       | 6.2235       | 6.2235          | 11.6089       | 2     |
| 1.3718     | 1.0833          | 7.7086       | 1.5842       | 7.4965       | 7.4965          | 11.9406       | 3     |
| 1.0395     | 0.9417          | 7.4257       | 1.8812       | 7.4257       | 7.4022          | 11.9703       | 4     |
| 0.8993     | 0.8573          | 8.5337       | 1.8812       | 8.4394       | 8.4158          | 11.9059       | 5     |
| 0.7896     | 0.7923          | 8.6987       | 1.7822       | 8.6987       | 8.6987          | 11.9851       | 6     |
| 0.7050     | 0.7375          | 8.4866       | 1.2871       | 8.4512       | 8.4512          | 11.9307       | 7     |
| 0.6377     | 0.7065          | 8.4866       | 1.2871       | 8.4512       | 8.4512          | 11.9158       | 8     |
| 0.5803     | 0.6809          | 8.4866       | 1.2871       | 8.4512       | 8.4512          | 12.0          | 9     |
| 0.5351     | 0.6758          | 8.4866       | 1.2871       | 8.4512       | 8.4512          | 11.9802       | 10    |
| 0.4957     | 0.6585          | 8.3274       | 1.1881       | 8.2921       | 8.2390          | 11.9653       | 11    |
| 0.4498     | 0.6436          | 8.4866       | 1.2871       | 8.4512       | 8.4512          | 11.9752       | 12    |
| 0.4093     | 0.6456          | 8.4866       | 1.2871       | 8.4512       | 8.4512          | 11.9406       | 13    |
| 0.3752     | 0.6300          | 8.3628       | 0.8416       | 8.2508       | 8.2390          | 11.9505       | 14    |
| 0.3427     | 0.6404          | 8.3628       | 0.8416       | 8.2508       | 8.2390          | 11.9604       | 15    |
| 0.3113     | 0.6443          | 8.6987       | 0.5941       | 8.5809       | 8.5868          | 11.9109       | 16    |
| 0.2826     | 0.6459          | 8.6987       | 0.5941       | 8.5809       | 8.5868          | 11.9406       | 17    |
| 0.2565     | 0.6555          | 8.6987       | 0.5941       | 8.5809       | 8.5868          | 11.9455       | 18    |
| 0.2347     | 0.6815          | 8.8402       | 1.1881       | 8.8048       | 8.7164          | 11.8911       | 19    |
| 0.2141     | 0.6884          | 8.6987       | 0.5941       | 8.5809       | 8.5868          | 11.8911       | 20    |
| 0.1942     | 0.7286          | 8.8402       | 1.1881       | 8.8048       | 8.7164          | 11.9307       | 21    |
| 0.1781     | 0.7498          | 8.8402       | 1.1881       | 8.8048       | 8.7164          | 11.8812       | 22    |


### Framework versions

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