question_classification_model
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0141
- Accuracy: 1.0
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0644 | 0.5 | 5 | 1.1973 | 0.0 |
| 1.1768 | 1.0 | 10 | 1.1003 | 0.0 |
| 1.0388 | 1.5 | 15 | 0.9396 | 1.0 |
| 0.9709 | 2.0 | 20 | 0.8235 | 1.0 |
| 1.0193 | 2.5 | 25 | 0.7088 | 1.0 |
| 0.7945 | 3.0 | 30 | 0.5735 | 1.0 |
| 0.9431 | 3.5 | 35 | 0.4812 | 1.0 |
| 0.7091 | 4.0 | 40 | 0.4083 | 1.0 |
| 0.7901 | 4.5 | 45 | 0.3773 | 1.0 |
| 0.7049 | 5.0 | 50 | 0.2875 | 1.0 |
| 0.5757 | 5.5 | 55 | 0.2608 | 1.0 |
| 0.6503 | 6.0 | 60 | 0.2752 | 1.0 |
| 0.6157 | 6.5 | 65 | 0.2288 | 1.0 |
| 0.4012 | 7.0 | 70 | 0.1577 | 1.0 |
| 0.5781 | 7.5 | 75 | 0.1294 | 1.0 |
| 0.2576 | 8.0 | 80 | 0.1047 | 1.0 |
| 0.5107 | 8.5 | 85 | 0.0842 | 1.0 |
| 0.1516 | 9.0 | 90 | 0.0711 | 1.0 |
| 0.2649 | 9.5 | 95 | 0.0581 | 1.0 |
| 0.2855 | 10.0 | 100 | 0.0485 | 1.0 |
| 0.2232 | 10.5 | 105 | 0.0401 | 1.0 |
| 0.2213 | 11.0 | 110 | 0.0344 | 1.0 |
| 0.2809 | 11.5 | 115 | 0.0299 | 1.0 |
| 0.0889 | 12.0 | 120 | 0.0268 | 1.0 |
| 0.0933 | 12.5 | 125 | 0.0244 | 1.0 |
| 0.2543 | 13.0 | 130 | 0.0225 | 1.0 |
| 0.1446 | 13.5 | 135 | 0.0204 | 1.0 |
| 0.2565 | 14.0 | 140 | 0.0188 | 1.0 |
| 0.1347 | 14.5 | 145 | 0.0179 | 1.0 |
| 0.1464 | 15.0 | 150 | 0.0172 | 1.0 |
| 0.0365 | 15.5 | 155 | 0.0165 | 1.0 |
| 0.2711 | 16.0 | 160 | 0.0159 | 1.0 |
| 0.1889 | 16.5 | 165 | 0.0155 | 1.0 |
| 0.0336 | 17.0 | 170 | 0.0152 | 1.0 |
| 0.1712 | 17.5 | 175 | 0.0149 | 1.0 |
| 0.0366 | 18.0 | 180 | 0.0146 | 1.0 |
| 0.1819 | 18.5 | 185 | 0.0144 | 1.0 |
| 0.0353 | 19.0 | 190 | 0.0142 | 1.0 |
| 0.092 | 19.5 | 195 | 0.0142 | 1.0 |
| 0.0991 | 20.0 | 200 | 0.0141 | 1.0 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.2
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
distilbert/distilbert-base-uncased