metadata
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: 0.0413
- Accuracy: 0.9310
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8388 | 1.0 | 318 | 0.4365 | 0.6771 |
| 0.3297 | 2.0 | 636 | 0.1574 | 0.8432 |
| 0.1547 | 3.0 | 954 | 0.0832 | 0.9058 |
| 0.0997 | 4.0 | 1272 | 0.0614 | 0.9194 |
| 0.0788 | 5.0 | 1590 | 0.0525 | 0.9258 |
| 0.0686 | 6.0 | 1908 | 0.0474 | 0.9316 |
| 0.0624 | 7.0 | 2226 | 0.0447 | 0.9284 |
| 0.0585 | 8.0 | 2544 | 0.0428 | 0.9303 |
| 0.0563 | 9.0 | 2862 | 0.0415 | 0.9316 |
| 0.055 | 10.0 | 3180 | 0.0413 | 0.9310 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0