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: 0.3006
- Accuracy: 0.9406
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 318 | 1.6434 | 0.7435 |
| 1.9562 | 2.0 | 636 | 0.9006 | 0.8661 |
| 1.9562 | 3.0 | 954 | 0.5509 | 0.9129 |
| 0.8242 | 4.0 | 1272 | 0.4011 | 0.9313 |
| 0.4197 | 5.0 | 1590 | 0.3346 | 0.9390 |
| 0.4197 | 6.0 | 1908 | 0.3087 | 0.9384 |
| 0.2973 | 7.0 | 2226 | 0.3006 | 0.9406 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1