metadata
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-distilled-clinc
results: []
distilbert-base-uncased-distilled-clinc
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: 0.3031
- Accuracy: 0.9458
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: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Use OptimizerNames.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: 9
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.5032 | 1.0 | 318 | 1.8101 | 0.7345 |
| 1.4112 | 2.0 | 636 | 0.9388 | 0.8658 |
| 0.7587 | 3.0 | 954 | 0.5471 | 0.9171 |
| 0.465 | 4.0 | 1272 | 0.4041 | 0.9316 |
| 0.3379 | 5.0 | 1590 | 0.3459 | 0.9403 |
| 0.2822 | 6.0 | 1908 | 0.3229 | 0.9426 |
| 0.2556 | 7.0 | 2226 | 0.3107 | 0.9448 |
| 0.2418 | 8.0 | 2544 | 0.3064 | 0.9452 |
| 0.2357 | 9.0 | 2862 | 0.3031 | 0.9458 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Tokenizers 0.21.1