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: 0.2715
- Accuracy: 0.9465
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 |
---|---|---|---|---|
2.2778 | 1.0 | 318 | 1.6183 | 0.7335 |
1.2551 | 2.0 | 636 | 0.8195 | 0.8681 |
0.6656 | 3.0 | 954 | 0.4786 | 0.9148 |
0.4077 | 4.0 | 1272 | 0.3549 | 0.9335 |
0.3012 | 5.0 | 1590 | 0.3083 | 0.9410 |
0.2553 | 6.0 | 1908 | 0.2912 | 0.9429 |
0.2336 | 7.0 | 2226 | 0.2805 | 0.9445 |
0.2217 | 8.0 | 2544 | 0.2754 | 0.9465 |
0.2154 | 9.0 | 2862 | 0.2720 | 0.9471 |
0.2122 | 10.0 | 3180 | 0.2715 | 0.9465 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.2+cu118
- Datasets 2.19.0
- Tokenizers 0.15.2