---
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: 0.3060
- Validation Loss: 0.7976
- Train Rouge1: 8.9816
- Train Rouge2: 1.2871
- Train Rougel: 8.9463
- Train Rougelsum: 8.9816
- Train Gen Len: 11.8416
- Epoch: 29

## 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     |
| 1.3143     | 1.1257          | 8.6987       | 2.1782       | 8.6987       | 8.4866          | 11.9257       | 4     |
| 1.1311     | 1.0411          | 8.9816       | 2.2772       | 8.9109       | 8.9109          | 11.9406       | 5     |
| 1.0120     | 0.9954          | 8.9816       | 2.2772       | 8.9109       | 8.9109          | 11.9406       | 6     |
| 0.9320     | 0.9375          | 8.9816       | 2.2772       | 8.9109       | 8.9109          | 11.9208       | 7     |
| 0.8538     | 0.8867          | 8.9816       | 2.2772       | 8.9109       | 8.9109          | 11.8911       | 8     |
| 0.7999     | 0.8593          | 8.8166       | 1.7822       | 8.7459       | 8.7459          | 11.8861       | 9     |
| 0.7562     | 0.8440          | 8.5573       | 1.2871       | 8.4866       | 8.5337          | 11.8812       | 10    |
| 0.7106     | 0.8085          | 8.5573       | 1.2871       | 8.4866       | 8.5337          | 11.8812       | 11    |
| 0.6685     | 0.8044          | 7.9562       | 0.7921       | 7.8147       | 7.9562          | 11.9059       | 12    |
| 0.6377     | 0.7867          | 8.4512       | 1.2871       | 8.4158       | 8.4512          | 11.8762       | 13    |
| 0.6067     | 0.7731          | 8.2980       | 0.7921       | 8.2096       | 8.2862          | 11.8960       | 14    |
| 0.5826     | 0.7593          | 8.2980       | 0.7921       | 8.2096       | 8.2862          | 11.8861       | 15    |
| 0.5533     | 0.7656          | 8.4512       | 1.2871       | 8.4158       | 8.4512          | 11.9010       | 16    |
| 0.5286     | 0.7657          | 8.4512       | 1.2871       | 8.4158       | 8.4512          | 11.8812       | 17    |
| 0.5049     | 0.7674          | 8.4512       | 1.2871       | 8.4158       | 8.4512          | 11.8465       | 18    |
| 0.4800     | 0.7591          | 8.4512       | 1.2871       | 8.4158       | 8.4512          | 11.8663       | 19    |
| 0.4593     | 0.7637          | 8.4512       | 1.2871       | 8.4158       | 8.4512          | 11.8663       | 20    |
| 0.4362     | 0.7757          | 8.4512       | 1.2871       | 8.4158       | 8.4512          | 11.8762       | 21    |
| 0.4185     | 0.7640          | 8.9816       | 1.2871       | 8.9463       | 8.9816          | 11.8812       | 22    |
| 0.4001     | 0.7496          | 8.9816       | 1.2871       | 8.9463       | 8.9816          | 11.8762       | 23    |
| 0.3826     | 0.7498          | 8.9816       | 1.2871       | 8.9463       | 8.9816          | 11.8515       | 24    |
| 0.3682     | 0.7646          | 8.9816       | 1.2871       | 8.9463       | 8.9816          | 11.8861       | 25    |
| 0.3525     | 0.7656          | 8.9816       | 1.2871       | 8.9463       | 8.9816          | 11.8762       | 26    |
| 0.3352     | 0.7774          | 9.0877       | 1.3861       | 8.9816       | 9.0347          | 11.9010       | 27    |
| 0.3208     | 0.7929          | 8.9816       | 1.2871       | 8.9463       | 8.9816          | 11.8960       | 28    |
| 0.3060     | 0.7976          | 8.9816       | 1.2871       | 8.9463       | 8.9816          | 11.8416       | 29    |


### Framework versions

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