distilbert-base-uncased-finetuned-query
This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3668
- Accuracy: 0.8936
- F1: 0.8924
Model description
More information needed
Intended uses & limitations
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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: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6511 | 1.0 | 30 | 0.5878 | 0.7234 | 0.6985 |
| 0.499 | 2.0 | 60 | 0.4520 | 0.8723 | 0.8683 |
| 0.3169 | 3.0 | 90 | 0.3668 | 0.8936 | 0.8924 |
Framework versions
- Transformers 4.19.2
- Pytorch 1.11.0+cu113
- Datasets 2.2.2
- Tokenizers 0.12.1
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