test-151016
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: 0.8047
- Matthews Correlation: 0.5622
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 |
|---|---|---|---|---|
| 0.5222 | 1.0 | 535 | 0.4535 | 0.4751 |
| 0.3501 | 2.0 | 1070 | 0.4696 | 0.5470 |
| 0.2352 | 3.0 | 1605 | 0.6116 | 0.5187 |
| 0.1739 | 4.0 | 2140 | 0.7624 | 0.5471 |
| 0.1298 | 5.0 | 2675 | 0.8047 | 0.5622 |
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 alextzu/test-151016
Base model
distilbert/distilbert-base-uncased