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

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: 1.0204
- Validation Loss: 0.9582
- Train Rouge1: 8.5809
- Train Rouge2: 1.9307
- Train Rougel: 8.4158
- Train Rougelsum: 8.4512
- Train Gen Len: 11.8317
- Epoch: 21

## 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 |
|:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:|
| 11.3596    | 5.2319          | 2.5366       | 0.5088       | 2.5148       | 2.4929          | 19.0          | 0     |
| 6.1803     | 3.1508          | 2.7057       | 0.5265       | 2.6846       | 2.6643          | 19.0          | 1     |
| 4.6767     | 2.5774          | 2.7471       | 0.5265       | 2.7054       | 2.6899          | 18.3218       | 2     |
| 3.8698     | 2.8216          | 2.9763       | 0.2200       | 2.8792       | 2.8987          | 16.6238       | 3     |
| 4.7045     | 2.7911          | 3.2793       | 0.5501       | 3.1484       | 3.2486          | 14.1881       | 4     |
| 4.0342     | 2.4191          | 5.9406       | 0.6365       | 5.7206       | 5.8306          | 10.6980       | 5     |
| 3.4642     | 2.1307          | 5.9406       | 0.9406       | 5.7756       | 5.8463          | 11.2228       | 6     |
| 3.0690     | 1.9079          | 6.0644       | 0.9901       | 5.9406       | 6.0644          | 11.2228       | 7     |
| 2.6140     | 1.7092          | 5.7756       | 0.8251       | 5.6518       | 5.8168          | 11.4604       | 8     |
| 2.4520     | 1.6478          | 5.8581       | 0.8251       | 5.6931       | 5.8581          | 11.0842       | 9     |
| 2.2701     | 1.5641          | 5.9406       | 0.8251       | 5.8581       | 5.8581          | 10.8465       | 10    |
| 2.0735     | 1.4839          | 7.3020       | 1.0726       | 7.1370       | 7.2814          | 11.0891       | 11    |
| 1.8757     | 1.3780          | 7.4670       | 1.0726       | 7.3020       | 7.4257          | 11.2228       | 12    |
| 1.7313     | 1.3204          | 7.3020       | 1.0726       | 7.1370       | 7.2814          | 11.5842       | 13    |
| 1.5944     | 1.2466          | 7.4670       | 1.0726       | 7.3020       | 7.4257          | 11.6485       | 14    |
| 1.4894     | 1.1993          | 8.0858       | 1.5677       | 7.9208       | 8.1271          | 11.6139       | 15    |
| 1.3939     | 1.1446          | 8.1271       | 2.0627       | 8.0033       | 8.0858          | 11.7030       | 16    |
| 1.3065     | 1.0837          | 7.7558       | 1.5677       | 7.5083       | 7.5908          | 11.8168       | 17    |
| 1.2367     | 1.0604          | 8.0387       | 1.9307       | 7.9915       | 7.9679          | 11.9356       | 18    |
| 1.1569     | 1.0071          | 7.6143       | 1.4356       | 7.4257       | 7.4965          | 11.8515       | 19    |
| 1.0732     | 0.9713          | 8.5809       | 1.9307       | 8.4158       | 8.4512          | 11.8465       | 20    |
| 1.0204     | 0.9582          | 8.5809       | 1.9307       | 8.4158       | 8.4512          | 11.8317       | 21    |


### Framework versions

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