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my_classifier_label26_transductive
This model is a fine-tuned version of passionMan/distilbert-base-uncased-finetuned-transductive on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2646
- Accuracy: 0.9526
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 176 | 1.0292 | 0.8332 |
| No log | 2.0 | 352 | 0.4582 | 0.9216 |
| 1.1139 | 3.0 | 528 | 0.3029 | 0.9483 |
| 1.1139 | 4.0 | 704 | 0.2646 | 0.9526 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2
