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---
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: 0.1460
- Validation Loss: 0.2778
- Epoch: 63
## 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 |
| 0.1602 | 0.2537 | 45 |
| 0.1586 | 0.2457 | 46 |
| 0.1576 | 0.2589 | 47 |
| 0.1573 | 0.2547 | 48 |
| 0.1566 | 0.2532 | 49 |
| 0.1546 | 0.2565 | 50 |
| 0.1540 | 0.2544 | 51 |
| 0.1545 | 0.2637 | 52 |
| 0.1515 | 0.2580 | 53 |
| 0.1520 | 0.2654 | 54 |
| 0.1524 | 0.2650 | 55 |
| 0.1513 | 0.2701 | 56 |
| 0.1500 | 0.2767 | 57 |
| 0.1492 | 0.2646 | 58 |
| 0.1483 | 0.2696 | 59 |
| 0.1480 | 0.2729 | 60 |
| 0.1475 | 0.2709 | 61 |
| 0.1458 | 0.2757 | 62 |
| 0.1460 | 0.2778 | 63 |
### Framework versions
- Transformers 4.33.3
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.13.3
|