AIA_homework1
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: 0.8648
- Matthews Correlation: 0.5101
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: 4.3287497916967464e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 40
- 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 | Matthews Correlation |
|---|---|---|---|---|
| No log | 1.0 | 268 | 0.4622 | 0.4484 |
| 0.4164 | 2.0 | 536 | 0.4818 | 0.5142 |
| 0.4164 | 3.0 | 804 | 0.5377 | 0.5435 |
| 0.156 | 4.0 | 1072 | 0.7827 | 0.5253 |
| 0.156 | 5.0 | 1340 | 0.8648 | 0.5101 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Base model
distilbert/distilbert-base-uncased