hw1
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: 0.6714
- Matthews Correlation: 0.5400
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: 3.107803944453237e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| No log | 1.0 | 268 | 0.4677 | 0.4481 |
| 0.432 | 2.0 | 536 | 0.4996 | 0.4661 |
| 0.432 | 3.0 | 804 | 0.5892 | 0.5306 |
| 0.1831 | 4.0 | 1072 | 0.6714 | 0.5400 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for scps14/hw1
Base model
distilbert/distilbert-base-uncased