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--- |
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license: apache-2.0 |
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base_model: bedus-creation/mBart-small-dataset-ii-eng-lim-003 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: bedus-creation/mBart-small-dataset-ii-eng-lim-003 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# bedus-creation/mBart-small-dataset-ii-eng-lim-003 |
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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. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.1460 |
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- Validation Loss: 0.2778 |
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- Epoch: 63 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- 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} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 0.2093 | 0.2072 | 0 | |
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| 0.2068 | 0.2056 | 1 | |
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| 0.2062 | 0.2023 | 2 | |
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| 0.2045 | 0.2054 | 3 | |
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| 0.2027 | 0.2188 | 4 | |
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| 0.2019 | 0.2067 | 5 | |
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| 0.1997 | 0.2056 | 6 | |
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| 0.1991 | 0.2074 | 7 | |
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| 0.1978 | 0.2024 | 8 | |
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| 0.1962 | 0.2067 | 9 | |
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| 0.1955 | 0.2074 | 10 | |
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| 0.1945 | 0.2089 | 11 | |
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| 0.1928 | 0.2168 | 12 | |
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| 0.1907 | 0.2201 | 13 | |
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| 0.1900 | 0.2102 | 14 | |
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| 0.1888 | 0.2130 | 15 | |
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| 0.1882 | 0.2211 | 16 | |
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| 0.1870 | 0.2117 | 17 | |
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| 0.1857 | 0.2134 | 18 | |
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| 0.1838 | 0.2147 | 19 | |
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| 0.1824 | 0.2187 | 20 | |
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| 0.1812 | 0.2224 | 21 | |
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| 0.1813 | 0.2249 | 22 | |
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| 0.1798 | 0.2200 | 23 | |
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| 0.1787 | 0.2273 | 24 | |
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| 0.1772 | 0.2263 | 25 | |
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| 0.1780 | 0.2273 | 26 | |
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| 0.1764 | 0.2270 | 27 | |
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| 0.1754 | 0.2245 | 28 | |
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| 0.1738 | 0.2260 | 29 | |
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| 0.1730 | 0.2327 | 30 | |
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| 0.1720 | 0.2300 | 31 | |
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| 0.1702 | 0.2347 | 32 | |
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| 0.1698 | 0.2396 | 33 | |
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| 0.1689 | 0.2340 | 34 | |
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| 0.1693 | 0.2345 | 35 | |
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| 0.1661 | 0.2424 | 36 | |
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| 0.1663 | 0.2388 | 37 | |
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| 0.1658 | 0.2436 | 38 | |
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| 0.1654 | 0.2506 | 39 | |
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| 0.1639 | 0.2406 | 40 | |
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| 0.1635 | 0.2524 | 41 | |
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| 0.1619 | 0.2379 | 42 | |
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| 0.1609 | 0.2449 | 43 | |
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| 0.1602 | 0.2466 | 44 | |
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| 0.1602 | 0.2537 | 45 | |
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| 0.1586 | 0.2457 | 46 | |
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| 0.1576 | 0.2589 | 47 | |
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| 0.1573 | 0.2547 | 48 | |
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| 0.1566 | 0.2532 | 49 | |
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| 0.1546 | 0.2565 | 50 | |
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| 0.1540 | 0.2544 | 51 | |
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| 0.1545 | 0.2637 | 52 | |
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| 0.1515 | 0.2580 | 53 | |
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| 0.1520 | 0.2654 | 54 | |
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| 0.1524 | 0.2650 | 55 | |
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| 0.1513 | 0.2701 | 56 | |
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| 0.1500 | 0.2767 | 57 | |
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| 0.1492 | 0.2646 | 58 | |
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| 0.1483 | 0.2696 | 59 | |
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| 0.1480 | 0.2729 | 60 | |
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| 0.1475 | 0.2709 | 61 | |
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| 0.1458 | 0.2757 | 62 | |
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| 0.1460 | 0.2778 | 63 | |
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### Framework versions |
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- Transformers 4.33.3 |
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- TensorFlow 2.13.0 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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