---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_keras_callback
model-index:
- name: pakawadeep/mt5-base-finetuned-ctfl-augmented_1
  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_1

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: 1.5782
- Validation Loss: 1.2268
- Train Rouge1: 7.7086
- Train Rouge2: 2.1782
- Train Rougel: 7.7086
- Train Rougelsum: 7.7086
- Train Gen Len: 11.8168
- Epoch: 3

## 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 5.3770     | 2.6665          | 4.5262       | 0.6931       | 4.5733       | 4.5733          | 8.9356        | 0     |
| 2.7256     | 2.0063          | 5.6931       | 1.3201       | 5.6518       | 5.6931          | 10.2277       | 1     |
| 2.0053     | 1.4899          | 7.7086       | 2.1782       | 7.7086       | 7.7086          | 11.3465       | 2     |
| 1.5782     | 1.2268          | 7.7086       | 2.1782       | 7.7086       | 7.7086          | 11.8168       | 3     |


### Framework versions

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