HW1_AIA
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: 0.6475
- Matthews Correlation: 0.5180
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 | Matthews Correlation |
|---|---|---|---|---|
| 0.5252 | 1.0 | 535 | 0.4563 | 0.4309 |
| 0.3512 | 2.0 | 1070 | 0.4715 | 0.5067 |
| 0.2355 | 3.0 | 1605 | 0.6475 | 0.5180 |
| 0.1768 | 4.0 | 2140 | 0.8173 | 0.5006 |
| 0.1299 | 5.0 | 2675 | 0.8642 | 0.5038 |
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