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CFGFP_BasicTypeCalssifier_v1
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5075
- Accuracy: 0.9120
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
1.0627 | 1.0 | 3588 | 0.9520 | 0.8411 |
0.6547 | 2.0 | 7176 | 0.6571 | 0.8885 |
0.4802 | 3.0 | 10764 | 0.5572 | 0.9020 |
0.3804 | 4.0 | 14352 | 0.5133 | 0.9089 |
0.3077 | 5.0 | 17940 | 0.5075 | 0.9120 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3