metadata
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_keras_callback
model-index:
- name: pijarcandra22/NMTIndoBaliBART
results: []
pijarcandra22/NMTIndoBaliBART
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 5.5373
- Validation Loss: 5.5665
- Epoch: 191
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': 0.02, '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 |
|---|---|---|
| 9.7885 | 5.6003 | 0 |
| 5.5737 | 5.5523 | 1 |
| 5.5346 | 5.5361 | 2 |
| 5.5189 | 5.5283 | 3 |
| 5.5149 | 5.5252 | 4 |
| 5.5123 | 5.5233 | 5 |
| 5.5116 | 5.5485 | 6 |
| 5.5095 | 5.5314 | 7 |
| 5.5120 | 5.5569 | 8 |
| 5.5137 | 5.5239 | 9 |
| 5.5170 | 5.5289 | 10 |
| 5.5180 | 5.5298 | 11 |
| 5.5217 | 5.5513 | 12 |
| 5.5219 | 5.5344 | 13 |
| 5.5248 | 5.5366 | 14 |
| 5.5268 | 5.5493 | 15 |
| 5.5260 | 5.5313 | 16 |
| 5.5290 | 5.5462 | 17 |
| 5.5299 | 5.5570 | 18 |
| 5.5293 | 5.5480 | 19 |
| 5.5378 | 5.5524 | 20 |
| 5.5317 | 5.5740 | 21 |
| 5.5328 | 5.5543 | 22 |
| 5.5327 | 5.5537 | 23 |
| 5.5330 | 5.5356 | 24 |
| 5.5304 | 5.5492 | 25 |
| 5.5355 | 5.5388 | 26 |
| 5.5337 | 5.5812 | 27 |
| 5.5355 | 5.5598 | 28 |
| 5.5348 | 5.5489 | 29 |
| 5.5373 | 5.5526 | 30 |
| 5.5357 | 5.5575 | 31 |
| 5.5377 | 5.5439 | 32 |
| 5.5404 | 5.5367 | 33 |
| 5.5383 | 5.5819 | 34 |
| 5.5359 | 5.5815 | 35 |
| 5.5370 | 5.5499 | 36 |
| 5.5340 | 5.5622 | 37 |
| 5.5373 | 5.5667 | 38 |
| 5.5360 | 5.5548 | 39 |
| 5.5327 | 5.5555 | 40 |
| 5.5365 | 5.5642 | 41 |
| 5.5375 | 5.5496 | 42 |
| 5.5336 | 5.5424 | 43 |
| 5.5359 | 5.5761 | 44 |
| 5.5360 | 5.5821 | 45 |
| 5.5362 | 5.5742 | 46 |
| 5.5352 | 5.5635 | 47 |
| 5.5335 | 5.5507 | 48 |
| 5.5340 | 5.5613 | 49 |
| 5.5368 | 5.5599 | 50 |
| 5.5375 | 5.5541 | 51 |
| 5.5368 | 5.5536 | 52 |
| 5.5366 | 5.5438 | 53 |
| 5.5363 | 5.5497 | 54 |
| 5.5364 | 5.5721 | 55 |
| 5.5388 | 5.5493 | 56 |
| 5.5361 | 5.5719 | 57 |
| 5.5372 | 5.5920 | 58 |
| 5.5346 | 5.5534 | 59 |
| 5.5354 | 5.5526 | 60 |
| 5.5357 | 5.5788 | 61 |
| 5.5370 | 5.5531 | 62 |
| 5.5374 | 5.5613 | 63 |
| 5.5366 | 5.5585 | 64 |
| 5.5370 | 5.5652 | 65 |
| 5.5354 | 5.5463 | 66 |
| 5.5354 | 5.5689 | 67 |
| 5.5355 | 5.5508 | 68 |
| 5.5350 | 5.5522 | 69 |
| 5.5334 | 5.5574 | 70 |
| 5.5354 | 5.5555 | 71 |
| 5.5354 | 5.5503 | 72 |
| 5.5368 | 5.5562 | 73 |
| 5.5373 | 5.5524 | 74 |
| 5.5356 | 5.5544 | 75 |
| 5.5365 | 5.5508 | 76 |
| 5.5357 | 5.5650 | 77 |
| 5.5355 | 5.5665 | 78 |
| 5.5365 | 5.5471 | 79 |
| 5.5356 | 5.5535 | 80 |
| 5.5357 | 5.5801 | 81 |
| 5.5354 | 5.5570 | 82 |
| 5.5361 | 5.5596 | 83 |
| 5.5377 | 5.5584 | 84 |
| 5.5333 | 5.5570 | 85 |
| 5.5348 | 5.5513 | 86 |
| 5.5367 | 5.5508 | 87 |
| 5.5354 | 5.5333 | 88 |
| 5.5375 | 5.5530 | 89 |
| 5.5353 | 5.5386 | 90 |
| 5.5372 | 5.5966 | 91 |
| 5.5365 | 5.5582 | 92 |
| 5.5349 | 5.5776 | 93 |
| 5.5348 | 5.5700 | 94 |
| 5.5356 | 5.5518 | 95 |
| 5.5371 | 5.5692 | 96 |
| 5.5374 | 5.5572 | 97 |
| 5.5369 | 5.5621 | 98 |
| 5.5343 | 5.5593 | 99 |
| 5.5372 | 5.5698 | 100 |
| 5.5367 | 5.5422 | 101 |
| 5.5366 | 5.5846 | 102 |
| 5.5387 | 5.5687 | 103 |
| 5.5377 | 5.5590 | 104 |
| 5.5307 | 5.5640 | 105 |
| 5.5360 | 5.5421 | 106 |
| 5.5355 | 5.5542 | 107 |
| 5.5346 | 5.5460 | 108 |
| 5.5375 | 5.5610 | 109 |
| 5.5332 | 5.5676 | 110 |
| 5.5355 | 5.5364 | 111 |
| 5.5332 | 5.5630 | 112 |
| 5.5363 | 5.5600 | 113 |
| 5.5362 | 5.5705 | 114 |
| 5.5358 | 5.5700 | 115 |
| 5.5368 | 5.5578 | 116 |
| 5.5364 | 5.5531 | 117 |
| 5.5345 | 5.5688 | 118 |
| 5.5350 | 5.5620 | 119 |
| 5.5336 | 5.5764 | 120 |
| 5.5364 | 5.5476 | 121 |
| 5.5358 | 5.5623 | 122 |
| 5.5364 | 5.5569 | 123 |
| 5.5337 | 5.5713 | 124 |
| 5.5346 | 5.5936 | 125 |
| 5.5357 | 5.5645 | 126 |
| 5.5358 | 5.5566 | 127 |
| 5.5399 | 5.5494 | 128 |
| 5.5362 | 5.5586 | 129 |
| 5.5394 | 5.5611 | 130 |
| 5.5355 | 5.5691 | 131 |
| 5.5361 | 5.5471 | 132 |
| 5.5343 | 5.5549 | 133 |
| 5.5379 | 5.5587 | 134 |
| 5.5380 | 5.5728 | 135 |
| 5.5366 | 5.5780 | 136 |
| 5.5363 | 5.5567 | 137 |
| 5.5395 | 5.5515 | 138 |
| 5.5337 | 5.5563 | 139 |
| 5.5341 | 5.5561 | 140 |
| 5.5336 | 5.5520 | 141 |
| 5.5340 | 5.5689 | 142 |
| 5.5363 | 5.5472 | 143 |
| 5.5356 | 5.5503 | 144 |
| 5.5338 | 5.5630 | 145 |
| 5.5357 | 5.5385 | 146 |
| 5.5349 | 5.5545 | 147 |
| 5.5363 | 5.5514 | 148 |
| 5.5361 | 5.5591 | 149 |
| 5.5379 | 5.5567 | 150 |
| 5.5340 | 5.5434 | 151 |
| 5.5362 | 5.5677 | 152 |
| 5.5350 | 5.5574 | 153 |
| 5.5356 | 5.5782 | 154 |
| 5.5371 | 5.5484 | 155 |
| 5.5330 | 5.5557 | 156 |
| 5.5340 | 5.5583 | 157 |
| 5.5350 | 5.5641 | 158 |
| 5.5350 | 5.5595 | 159 |
| 5.5356 | 5.5622 | 160 |
| 5.5386 | 5.5545 | 161 |
| 5.5347 | 5.5667 | 162 |
| 5.5318 | 5.5692 | 163 |
| 5.5370 | 5.5704 | 164 |
| 5.5361 | 5.5654 | 165 |
| 5.5358 | 5.5645 | 166 |
| 5.5337 | 5.5518 | 167 |
| 5.5356 | 5.5574 | 168 |
| 5.5364 | 5.5621 | 169 |
| 5.5360 | 5.5573 | 170 |
| 5.5388 | 5.5438 | 171 |
| 5.5343 | 5.5623 | 172 |
| 5.5368 | 5.5505 | 173 |
| 5.5345 | 5.5798 | 174 |
| 5.5369 | 5.5449 | 175 |
| 5.5364 | 5.5664 | 176 |
| 5.5365 | 5.5530 | 177 |
| 5.5369 | 5.5533 | 178 |
| 5.5348 | 5.5432 | 179 |
| 5.5379 | 5.5875 | 180 |
| 5.5370 | 5.5531 | 181 |
| 5.5340 | 5.5695 | 182 |
| 5.5372 | 5.5529 | 183 |
| 5.5356 | 5.5778 | 184 |
| 5.5371 | 5.5465 | 185 |
| 5.5370 | 5.5459 | 186 |
| 5.5356 | 5.5457 | 187 |
| 5.5375 | 5.5761 | 188 |
| 5.5338 | 5.5409 | 189 |
| 5.5369 | 5.5698 | 190 |
| 5.5373 | 5.5665 | 191 |
Framework versions
- Transformers 4.40.2
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1