test26112024
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: 0.6049
- Matthews Correlation: 0.0
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: 1.206761294316677e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.6231 | 1.0 | 535 | 0.6119 | 0.0 |
| 0.5977 | 2.0 | 1070 | 0.6049 | 0.0 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 2.21.0
- Tokenizers 0.20.3
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Model tree for ckimsoon/test26112024
Base model
distilbert/distilbert-base-uncased