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: 0.2335
- Accuracy: 0.9455
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 |
|---|---|---|---|---|
| 1.9493 | 1.0 | 318 | 1.3466 | 0.7329 |
| 1.0424 | 2.0 | 636 | 0.6702 | 0.8694 |
| 0.5509 | 3.0 | 954 | 0.3936 | 0.9155 |
| 0.3428 | 4.0 | 1272 | 0.2964 | 0.9355 |
| 0.2604 | 5.0 | 1590 | 0.2623 | 0.9387 |
| 0.2261 | 6.0 | 1908 | 0.2494 | 0.9423 |
| 0.2097 | 7.0 | 2226 | 0.2412 | 0.9439 |
| 0.2006 | 8.0 | 2544 | 0.2369 | 0.9445 |
| 0.1955 | 9.0 | 2862 | 0.2338 | 0.9442 |
| 0.1929 | 10.0 | 3180 | 0.2335 | 0.9455 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1