banking77-distilbert
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2829
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: 5e-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 |
|---|---|---|---|
| 0.8304 | 1.0 | 626 | 0.6469 |
| 0.2939 | 2.0 | 1252 | 0.3372 |
| 0.1606 | 3.0 | 1878 | 0.2953 |
| 0.0800 | 4.0 | 2504 | 0.2813 |
| 0.0352 | 5.0 | 3130 | 0.2829 |
Framework versions
- Transformers 5.1.0
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2
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Model tree for sadsaad404/banking77-distilbert
Base model
distilbert/distilbert-base-uncased