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

This model is a fine-tuned version of [pakawadeep/mt5-base-finetuned-ctfl](https://huggingface.co/pakawadeep/mt5-base-finetuned-ctfl) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.7190
- Validation Loss: 0.9805
- Train Rouge1: 8.4866
- Train Rouge2: 2.1782
- Train Rougel: 8.2744
- Train Rougelsum: 8.2744
- Train Gen Len: 11.9208
- Epoch: 6

## 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 1.1067     | 1.0353          | 7.4965       | 1.6832       | 7.4257       | 7.3904          | 11.8762       | 0     |
| 0.9573     | 1.0010          | 7.9915       | 1.6832       | 7.9208       | 7.7793          | 11.9109       | 1     |
| 0.8858     | 1.0002          | 8.4866       | 2.1782       | 8.2744       | 8.2744          | 11.9158       | 2     |
| 0.8402     | 0.9827          | 8.4866       | 2.1782       | 8.2744       | 8.2744          | 11.9554       | 3     |
| 0.7900     | 0.9961          | 8.4866       | 2.1782       | 8.2744       | 8.2744          | 11.9158       | 4     |
| 0.7646     | 0.9898          | 8.4866       | 2.1782       | 8.2744       | 8.2744          | 11.9505       | 5     |
| 0.7190     | 0.9805          | 8.4866       | 2.1782       | 8.2744       | 8.2744          | 11.9208       | 6     |


### Framework versions

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