|
--- |
|
license: apache-2.0 |
|
base_model: facebook/bart-base |
|
tags: |
|
- generated_from_keras_callback |
|
model-index: |
|
- name: pijarcandra22/BartIndo2Bali |
|
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. --> |
|
|
|
# pijarcandra22/BartIndo2Bali |
|
|
|
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co./facebook/bart-base) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Train Loss: 0.1151 |
|
- Validation Loss: 2.6202 |
|
- Epoch: 99 |
|
|
|
## 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': 2e-05, '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 | |
|
|:----------:|:---------------:|:-----:| |
|
| 4.3767 | 3.6194 | 0 | |
|
| 3.5364 | 3.1996 | 1 | |
|
| 3.1525 | 2.9458 | 2 | |
|
| 2.8777 | 2.8118 | 3 | |
|
| 2.6993 | 2.6979 | 4 | |
|
| 2.5550 | 2.6071 | 5 | |
|
| 2.4536 | 2.5362 | 6 | |
|
| 2.3338 | 2.4572 | 7 | |
|
| 2.2394 | 2.3878 | 8 | |
|
| 2.1466 | 2.3692 | 9 | |
|
| 2.0795 | 2.3189 | 10 | |
|
| 2.0061 | 2.2674 | 11 | |
|
| 1.9321 | 2.2393 | 12 | |
|
| 1.8837 | 2.2181 | 13 | |
|
| 1.8224 | 2.2002 | 14 | |
|
| 1.7626 | 2.1671 | 15 | |
|
| 1.7251 | 2.1386 | 16 | |
|
| 1.6624 | 2.1245 | 17 | |
|
| 1.6191 | 2.1134 | 18 | |
|
| 1.6177 | 2.1061 | 19 | |
|
| 1.5524 | 2.0845 | 20 | |
|
| 1.4965 | 2.0750 | 21 | |
|
| 1.4618 | 2.0527 | 22 | |
|
| 1.4188 | 2.0584 | 23 | |
|
| 1.3774 | 2.0359 | 24 | |
|
| 1.3469 | 2.0567 | 25 | |
|
| 1.3113 | 2.0295 | 26 | |
|
| 1.2791 | 2.0134 | 27 | |
|
| 1.2436 | 2.0431 | 28 | |
|
| 1.1915 | 2.0201 | 29 | |
|
| 1.1815 | 2.0283 | 30 | |
|
| 1.1314 | 2.0230 | 31 | |
|
| 1.1071 | 2.0424 | 32 | |
|
| 1.0781 | 2.0357 | 33 | |
|
| 1.0429 | 2.0208 | 34 | |
|
| 1.0134 | 2.0458 | 35 | |
|
| 0.9799 | 2.0466 | 36 | |
|
| 0.9567 | 2.0592 | 37 | |
|
| 0.9261 | 2.0278 | 38 | |
|
| 0.8931 | 2.0641 | 39 | |
|
| 0.8742 | 2.0783 | 40 | |
|
| 0.8397 | 2.0781 | 41 | |
|
| 0.8228 | 2.1010 | 42 | |
|
| 0.7819 | 2.1042 | 43 | |
|
| 0.7667 | 2.1302 | 44 | |
|
| 0.7508 | 2.1193 | 45 | |
|
| 0.7136 | 2.1372 | 46 | |
|
| 0.6849 | 2.1513 | 47 | |
|
| 0.6625 | 2.1747 | 48 | |
|
| 0.6451 | 2.1936 | 49 | |
|
| 0.6114 | 2.1650 | 50 | |
|
| 0.5907 | 2.2176 | 51 | |
|
| 0.5781 | 2.2313 | 52 | |
|
| 0.5594 | 2.2287 | 53 | |
|
| 0.5361 | 2.2260 | 54 | |
|
| 0.5168 | 2.2444 | 55 | |
|
| 0.5022 | 2.2660 | 56 | |
|
| 0.4826 | 2.2912 | 57 | |
|
| 0.4607 | 2.2922 | 58 | |
|
| 0.4442 | 2.2912 | 59 | |
|
| 0.4262 | 2.3032 | 60 | |
|
| 0.4050 | 2.3335 | 61 | |
|
| 0.4005 | 2.3327 | 62 | |
|
| 0.3826 | 2.3379 | 63 | |
|
| 0.3658 | 2.3369 | 64 | |
|
| 0.3442 | 2.3629 | 65 | |
|
| 0.3384 | 2.3887 | 66 | |
|
| 0.3287 | 2.3868 | 67 | |
|
| 0.3140 | 2.3609 | 68 | |
|
| 0.3078 | 2.4009 | 69 | |
|
| 0.2953 | 2.4071 | 70 | |
|
| 0.2855 | 2.4421 | 71 | |
|
| 0.2715 | 2.4290 | 72 | |
|
| 0.2647 | 2.4227 | 73 | |
|
| 0.2483 | 2.4457 | 74 | |
|
| 0.2402 | 2.4582 | 75 | |
|
| 0.2355 | 2.4509 | 76 | |
|
| 0.2272 | 2.4788 | 77 | |
|
| 0.2198 | 2.4795 | 78 | |
|
| 0.2077 | 2.4786 | 79 | |
|
| 0.1989 | 2.5080 | 80 | |
|
| 0.1992 | 2.4929 | 81 | |
|
| 0.1905 | 2.5120 | 82 | |
|
| 0.1880 | 2.5345 | 83 | |
|
| 0.1773 | 2.5147 | 84 | |
|
| 0.1734 | 2.5270 | 85 | |
|
| 0.1663 | 2.5399 | 86 | |
|
| 0.1618 | 2.5581 | 87 | |
|
| 0.1576 | 2.5533 | 88 | |
|
| 0.1550 | 2.5177 | 89 | |
|
| 0.1475 | 2.5689 | 90 | |
|
| 0.1453 | 2.5720 | 91 | |
|
| 0.1398 | 2.5526 | 92 | |
|
| 0.1357 | 2.5638 | 93 | |
|
| 0.1325 | 2.5782 | 94 | |
|
| 0.1293 | 2.6026 | 95 | |
|
| 0.1263 | 2.6147 | 96 | |
|
| 0.1257 | 2.6056 | 97 | |
|
| 0.1149 | 2.6323 | 98 | |
|
| 0.1151 | 2.6202 | 99 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.2 |
|
- TensorFlow 2.14.0 |
|
- Datasets 2.15.0 |
|
- Tokenizers 0.15.0 |
|
|
