260416-model-test
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: 0.8290
- Matthews Correlation: 0.5478
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: 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 | Matthews Correlation |
|---|---|---|---|---|
| 0.5244 | 1.0 | 535 | 0.4655 | 0.4396 |
| 0.3595 | 2.0 | 1070 | 0.4791 | 0.5264 |
| 0.2348 | 3.0 | 1605 | 0.6380 | 0.5177 |
| 0.1789 | 4.0 | 2140 | 0.7664 | 0.5458 |
| 0.1285 | 5.0 | 2675 | 0.8290 | 0.5478 |
Framework versions
- Transformers 5.5.4
- Pytorch 2.10.0+cu128
- Datasets 2.21.0
- Tokenizers 0.22.2
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Model tree for lsh611201/260416-model-test
Base model
distilbert/distilbert-base-uncased