bert-uncased-finetuned-csv-qa
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1688
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
No log | 1.0 | 2 | 5.4411 |
No log | 2.0 | 4 | 4.5683 |
No log | 3.0 | 6 | 3.9019 |
No log | 4.0 | 8 | 3.3646 |
No log | 5.0 | 10 | 2.8095 |
No log | 6.0 | 12 | 2.3153 |
No log | 7.0 | 14 | 1.9456 |
No log | 8.0 | 16 | 1.6904 |
No log | 9.0 | 18 | 1.4633 |
No log | 10.0 | 20 | 1.2169 |
No log | 11.0 | 22 | 0.9963 |
No log | 12.0 | 24 | 0.8378 |
No log | 13.0 | 26 | 0.7068 |
No log | 14.0 | 28 | 0.6008 |
No log | 15.0 | 30 | 0.5232 |
No log | 16.0 | 32 | 0.4659 |
No log | 17.0 | 34 | 0.4140 |
No log | 18.0 | 36 | 0.3740 |
No log | 19.0 | 38 | 0.3459 |
No log | 20.0 | 40 | 0.3142 |
No log | 21.0 | 42 | 0.2912 |
No log | 22.0 | 44 | 0.2766 |
No log | 23.0 | 46 | 0.2710 |
No log | 24.0 | 48 | 0.2711 |
No log | 25.0 | 50 | 0.2730 |
No log | 26.0 | 52 | 0.2645 |
No log | 27.0 | 54 | 0.2507 |
No log | 28.0 | 56 | 0.2432 |
No log | 29.0 | 58 | 0.2373 |
No log | 30.0 | 60 | 0.2405 |
No log | 31.0 | 62 | 0.2397 |
No log | 32.0 | 64 | 0.2352 |
No log | 33.0 | 66 | 0.2298 |
No log | 34.0 | 68 | 0.2255 |
No log | 35.0 | 70 | 0.2191 |
No log | 36.0 | 72 | 0.2129 |
No log | 37.0 | 74 | 0.2068 |
No log | 38.0 | 76 | 0.2039 |
No log | 39.0 | 78 | 0.2036 |
No log | 40.0 | 80 | 0.2004 |
No log | 41.0 | 82 | 0.2030 |
No log | 42.0 | 84 | 0.2003 |
No log | 43.0 | 86 | 0.1958 |
No log | 44.0 | 88 | 0.1915 |
No log | 45.0 | 90 | 0.1868 |
No log | 46.0 | 92 | 0.1812 |
No log | 47.0 | 94 | 0.1769 |
No log | 48.0 | 96 | 0.1729 |
No log | 49.0 | 98 | 0.1698 |
No log | 50.0 | 100 | 0.1688 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cpu
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
google-bert/bert-base-uncased