---
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: 0.1602
- Validation Loss: 0.2466
- Epoch: 44

## 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     |
| 0.1991     | 0.2074          | 7     |
| 0.1978     | 0.2024          | 8     |
| 0.1962     | 0.2067          | 9     |
| 0.1955     | 0.2074          | 10    |
| 0.1945     | 0.2089          | 11    |
| 0.1928     | 0.2168          | 12    |
| 0.1907     | 0.2201          | 13    |
| 0.1900     | 0.2102          | 14    |
| 0.1888     | 0.2130          | 15    |
| 0.1882     | 0.2211          | 16    |
| 0.1870     | 0.2117          | 17    |
| 0.1857     | 0.2134          | 18    |
| 0.1838     | 0.2147          | 19    |
| 0.1824     | 0.2187          | 20    |
| 0.1812     | 0.2224          | 21    |
| 0.1813     | 0.2249          | 22    |
| 0.1798     | 0.2200          | 23    |
| 0.1787     | 0.2273          | 24    |
| 0.1772     | 0.2263          | 25    |
| 0.1780     | 0.2273          | 26    |
| 0.1764     | 0.2270          | 27    |
| 0.1754     | 0.2245          | 28    |
| 0.1738     | 0.2260          | 29    |
| 0.1730     | 0.2327          | 30    |
| 0.1720     | 0.2300          | 31    |
| 0.1702     | 0.2347          | 32    |
| 0.1698     | 0.2396          | 33    |
| 0.1689     | 0.2340          | 34    |
| 0.1693     | 0.2345          | 35    |
| 0.1661     | 0.2424          | 36    |
| 0.1663     | 0.2388          | 37    |
| 0.1658     | 0.2436          | 38    |
| 0.1654     | 0.2506          | 39    |
| 0.1639     | 0.2406          | 40    |
| 0.1635     | 0.2524          | 41    |
| 0.1619     | 0.2379          | 42    |
| 0.1609     | 0.2449          | 43    |
| 0.1602     | 0.2466          | 44    |


### Framework versions

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