bert-base-squad-v1.1-pt-IBAMA_v0.420240914221657
This model is a fine-tuned version of pierreguillou/bert-base-cased-squad-v1.1-portuguese on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 9.2011
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:
- learning_rate: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 33 | 4.6586 |
No log | 2.0 | 66 | 4.3610 |
No log | 3.0 | 99 | 4.3218 |
No log | 4.0 | 132 | 4.3218 |
No log | 5.0 | 165 | 4.6298 |
No log | 6.0 | 198 | 4.7928 |
No log | 7.0 | 231 | 5.1607 |
No log | 8.0 | 264 | 5.5669 |
No log | 9.0 | 297 | 5.7820 |
No log | 10.0 | 330 | 6.1737 |
No log | 11.0 | 363 | 6.3348 |
No log | 12.0 | 396 | 6.7020 |
No log | 13.0 | 429 | 6.7789 |
No log | 14.0 | 462 | 7.0030 |
No log | 15.0 | 495 | 6.8479 |
2.1793 | 16.0 | 528 | 7.4477 |
2.1793 | 17.0 | 561 | 7.3856 |
2.1793 | 18.0 | 594 | 7.5348 |
2.1793 | 19.0 | 627 | 7.7080 |
2.1793 | 20.0 | 660 | 7.8438 |
2.1793 | 21.0 | 693 | 7.8194 |
2.1793 | 22.0 | 726 | 7.9835 |
2.1793 | 23.0 | 759 | 7.9357 |
2.1793 | 24.0 | 792 | 8.1900 |
2.1793 | 25.0 | 825 | 8.1193 |
2.1793 | 26.0 | 858 | 8.2119 |
2.1793 | 27.0 | 891 | 8.5122 |
2.1793 | 28.0 | 924 | 8.3852 |
2.1793 | 29.0 | 957 | 8.5886 |
2.1793 | 30.0 | 990 | 8.4135 |
0.373 | 31.0 | 1023 | 8.2952 |
0.373 | 32.0 | 1056 | 8.4717 |
0.373 | 33.0 | 1089 | 8.4430 |
0.373 | 34.0 | 1122 | 8.6253 |
0.373 | 35.0 | 1155 | 8.5774 |
0.373 | 36.0 | 1188 | 8.7257 |
0.373 | 37.0 | 1221 | 8.9166 |
0.373 | 38.0 | 1254 | 8.8245 |
0.373 | 39.0 | 1287 | 9.0156 |
0.373 | 40.0 | 1320 | 9.0460 |
0.373 | 41.0 | 1353 | 8.8083 |
0.373 | 42.0 | 1386 | 9.1857 |
0.373 | 43.0 | 1419 | 9.2103 |
0.373 | 44.0 | 1452 | 9.0799 |
0.373 | 45.0 | 1485 | 8.9070 |
0.0952 | 46.0 | 1518 | 9.1408 |
0.0952 | 47.0 | 1551 | 9.1571 |
0.0952 | 48.0 | 1584 | 9.1600 |
0.0952 | 49.0 | 1617 | 9.2383 |
0.0952 | 50.0 | 1650 | 9.2011 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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