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: 0.3426
- Accuracy: 0.9481
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.8162 | 1.0 | 318 | 2.8321 | 0.7381 |
| 2.1655 | 2.0 | 636 | 1.4157 | 0.8658 |
| 1.0801 | 3.0 | 954 | 0.7461 | 0.9142 |
| 0.568 | 4.0 | 1272 | 0.4911 | 0.9319 |
| 0.3528 | 5.0 | 1590 | 0.3975 | 0.9397 |
| 0.2606 | 6.0 | 1908 | 0.3712 | 0.9403 |
| 0.2195 | 7.0 | 2226 | 0.3510 | 0.9471 |
| 0.1971 | 8.0 | 2544 | 0.3467 | 0.9468 |
| 0.1862 | 9.0 | 2862 | 0.3450 | 0.9468 |
| 0.181 | 10.0 | 3180 | 0.3426 | 0.9481 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.21.0