TRAINING_RESULTS
This model is a fine-tuned version of distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0658
- Accuracy: 0.9847
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 66 | 0.1136 | 0.9656 |
| No log | 2.0 | 132 | 0.0764 | 0.9809 |
| No log | 3.0 | 198 | 0.0658 | 0.9847 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.2
- Datasets 2.21.0
- Tokenizers 0.15.1
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Model tree for chocee/TRAINING_RESULTS
Base model
distilbert/distilbert-base-uncased