| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - clinc_oos | |
| metrics: | |
| - accuracy | |
| base_model: distilbert-base-uncased | |
| model-index: | |
| - name: distilbert-base-uncased-finetuned-clinc | |
| results: | |
| - task: | |
| type: text-classification | |
| name: Text Classification | |
| dataset: | |
| name: clinc_oos | |
| type: clinc_oos | |
| config: plus | |
| split: train | |
| args: plus | |
| metrics: | |
| - type: accuracy | |
| value: 0.9161290322580645 | |
| name: Accuracy | |
| <!-- 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: 0.7767 | |
| - Accuracy: 0.9161 | |
| ## 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: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| | No log | 1.0 | 318 | 3.2814 | 0.7410 | | |
| | 3.783 | 2.0 | 636 | 1.8740 | 0.8335 | | |
| | 3.783 | 3.0 | 954 | 1.1590 | 0.8916 | | |
| | 1.6892 | 4.0 | 1272 | 0.8595 | 0.9103 | | |
| | 0.9052 | 5.0 | 1590 | 0.7767 | 0.9161 | | |
| ### Framework versions | |
| - Transformers 4.21.2 | |
| - Pytorch 1.13.0+cu117 | |
| - Datasets 2.7.1 | |
| - Tokenizers 0.12.1 | |