| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - clinc_oos |
| metrics: |
| - accuracy |
| model_index: |
| - name: distilbert-base-uncased-finetuned-clinc |
| results: |
| - task: |
| name: Text Classification |
| type: text-classification |
| dataset: |
| name: clinc_oos |
| type: clinc_oos |
| args: plus |
| metric: |
| name: Accuracy |
| type: accuracy |
| value: 0.9419354838709677 |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # distilbert-base-uncased-finetuned-clinc |
|
|
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the clinc_oos dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2929 |
| - Accuracy: 0.9419 |
| |
| ## 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: 96 |
| - eval_batch_size: 96 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 159 | 1.7692 | 0.6606 | |
| | No log | 2.0 | 318 | 1.1246 | 0.7997 | |
| | No log | 3.0 | 477 | 0.7261 | 0.8681 | |
| | 1.5283 | 4.0 | 636 | 0.5132 | 0.9106 | |
| | 1.5283 | 5.0 | 795 | 0.4002 | 0.9232 | |
| | 1.5283 | 6.0 | 954 | 0.3460 | 0.9342 | |
| | 0.4714 | 7.0 | 1113 | 0.3171 | 0.9384 | |
| | 0.4714 | 8.0 | 1272 | 0.3028 | 0.9410 | |
| | 0.4714 | 9.0 | 1431 | 0.2947 | 0.9416 | |
| | 0.2878 | 10.0 | 1590 | 0.2929 | 0.9419 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.10.0.dev0 |
| - Pytorch 1.10.1+cu102 |
| - Datasets 1.11.0 |
| - Tokenizers 0.10.3 |
| |
