---
license: apache-2.0
base_model: bedus-creation/mBart-small-dataset-ii-eng-lim-003
tags:
- generated_from_keras_callback
model-index:
- name: bedus-creation/mBart-small-dataset-ii-eng-lim-003
  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. -->

# bedus-creation/mBart-small-dataset-ii-eng-lim-003

This model is a fine-tuned version of [bedus-creation/mBart-small-dataset-ii-eng-lim-003](https://huggingface.co/bedus-creation/mBart-small-dataset-ii-eng-lim-003) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1997
- Validation Loss: 0.2056
- 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': 1e-04, '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 | Epoch |
|:----------:|:---------------:|:-----:|
| 0.2093     | 0.2072          | 0     |
| 0.2068     | 0.2056          | 1     |
| 0.2062     | 0.2023          | 2     |
| 0.2045     | 0.2054          | 3     |
| 0.2027     | 0.2188          | 4     |
| 0.2019     | 0.2067          | 5     |
| 0.1997     | 0.2056          | 6     |


### Framework versions

- Transformers 4.33.3
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3