---
license: apache-2.0
base_model: bedus-creation/mBart-small-dataset-i-eng-lim
tags:
- generated_from_keras_callback
model-index:
- name: bedus-creation/mBart-small-dataset-ii-eng-lim-004
  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-004

This model is a fine-tuned version of [bedus-creation/mBart-small-dataset-i-eng-lim](https://huggingface.co/bedus-creation/mBart-small-dataset-i-eng-lim) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.2585
- Validation Loss: 0.2903
- Epoch: 52

## 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 |
|:----------:|:---------------:|:-----:|
| 0.9940     | 0.4653          | 0     |
| 0.4659     | 0.3647          | 1     |
| 0.4011     | 0.3331          | 2     |
| 0.3798     | 0.3284          | 3     |
| 0.3640     | 0.3210          | 4     |
| 0.3539     | 0.3087          | 5     |
| 0.3456     | 0.3106          | 6     |
| 0.3377     | 0.3049          | 7     |
| 0.3340     | 0.2998          | 8     |
| 0.3285     | 0.2974          | 9     |
| 0.3246     | 0.2980          | 10    |
| 0.3202     | 0.2950          | 11    |
| 0.3174     | 0.2910          | 12    |
| 0.3154     | 0.2932          | 13    |
| 0.3124     | 0.2882          | 14    |
| 0.3094     | 0.2895          | 15    |
| 0.3092     | 0.2880          | 16    |
| 0.3073     | 0.2861          | 17    |
| 0.3043     | 0.2842          | 18    |
| 0.3037     | 0.2856          | 19    |
| 0.3009     | 0.2834          | 20    |
| 0.2999     | 0.2859          | 21    |
| 0.2983     | 0.2836          | 22    |
| 0.2973     | 0.2809          | 23    |
| 0.2952     | 0.2825          | 24    |
| 0.2942     | 0.2809          | 25    |
| 0.2933     | 0.2792          | 26    |
| 0.2914     | 0.2813          | 27    |
| 0.2898     | 0.2817          | 28    |
| 0.2884     | 0.2794          | 29    |
| 0.2866     | 0.2797          | 30    |
| 0.2853     | 0.2797          | 31    |
| 0.2849     | 0.2844          | 32    |
| 0.2835     | 0.2798          | 33    |
| 0.2821     | 0.2803          | 34    |
| 0.2823     | 0.2828          | 35    |
| 0.2798     | 0.2796          | 36    |
| 0.2797     | 0.2788          | 37    |
| 0.2766     | 0.2811          | 38    |
| 0.2765     | 0.2800          | 39    |
| 0.2747     | 0.2852          | 40    |
| 0.2731     | 0.2825          | 41    |
| 0.2720     | 0.2841          | 42    |
| 0.2709     | 0.2855          | 43    |
| 0.2693     | 0.2843          | 44    |
| 0.2678     | 0.2863          | 45    |
| 0.2667     | 0.2912          | 46    |
| 0.2645     | 0.2863          | 47    |
| 0.2633     | 0.2862          | 48    |
| 0.2618     | 0.2881          | 49    |
| 0.2607     | 0.2890          | 50    |
| 0.2585     | 0.2928          | 51    |
| 0.2585     | 0.2903          | 52    |


### Framework versions

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