student-feedback-classifier
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: 1.3179
- Accuracy: 0.625
- F1: 0.5357
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.4139 | 1.0 | 4 | 1.3729 | 0.375 | 0.25 |
| 1.3675 | 2.0 | 8 | 1.3662 | 0.375 | 0.3214 |
| 1.3410 | 3.0 | 12 | 1.3479 | 0.5 | 0.4464 |
| 1.3032 | 4.0 | 16 | 1.3278 | 0.5 | 0.4464 |
| 1.2866 | 5.0 | 20 | 1.3179 | 0.625 | 0.5357 |
Framework versions
- Transformers 5.15.0
- Pytorch 2.11.0+cpu
- Datasets 5.0.1
- Tokenizers 0.22.2
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Model tree for Ujaini/student-feedback-classifier
Base model
distilbert/distilbert-base-uncased