homework_1
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: 0.8327
- Matthews Correlation: 0.5298
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 |
|---|---|---|---|---|
| 0.5156 | 1.0 | 535 | 0.4525 | 0.4464 |
| 0.342 | 2.0 | 1070 | 0.4731 | 0.5198 |
| 0.2309 | 3.0 | 1605 | 0.6647 | 0.5153 |
| 0.1705 | 4.0 | 2140 | 0.7939 | 0.5166 |
| 0.1268 | 5.0 | 2675 | 0.8327 | 0.5298 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for Alan-Shih/homework_1
Base model
distilbert/distilbert-base-uncased