--- license: apache-2.0 base_model: eric-mc2/distilbert-foundation-category-c6 tags: - generated_from_trainer metrics: - accuracy model-index: - name: distilbert-foundation-category-c6-finetune results: [] --- # distilbert-foundation-category-c6-finetune This model is a fine-tuned version of [eric-mc2/distilbert-foundation-category-c6](https://huggingface.co/eric-mc2/distilbert-foundation-category-c6) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.3864 - Accuracy: 0.915 ## 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: 16 - eval_batch_size: 16 - 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 | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.231 | 1.0 | 113 | 0.2673 | 0.915 | | 0.132 | 2.0 | 226 | 0.3310 | 0.91 | | 0.0894 | 3.0 | 339 | 0.3734 | 0.915 | | 0.0697 | 4.0 | 452 | 0.3840 | 0.915 | | 0.0559 | 5.0 | 565 | 0.3864 | 0.915 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.0+cu121 - Datasets 2.16.1 - Tokenizers 0.15.0