Learn Hf Food Not Food Text Classifier Distilbert Base Uncased

--- library_name: transformers license: apache-2.0 base_model: distilbert/distilbert-base-uncased tags: - generated_from_trainer metrics: - accuracy model-index: - name: learn_hf_food_not_food_text_classifier-distilbert-base-uncased results: [] --- # learn_hf_food_not_food_text_classifier-distilbert-base-uncased This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0006 - Accuracy: 1.0 ## 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: 0.0001 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.3609 | 1.0 | 7 | 0.0511 | 1.0 | | 0.0246 | 2.0 | 14 | 0.0070 | 1.0 | | 0.0048 | 3.0 | 21 | 0.0024 | 1.0 | | 0.0021 | 4.0 | 28 | 0.0014 | 1.0 | | 0.0014 | 5.0 | 35 | 0.0010 | 1.0 | | 0.0010 | 6.0 | 42 | 0.0008 | 1.0 | | 0.0009 | 7.0 | 49 | 0.0007 | 1.0 | | 0.0008 | 8.0 | 56 | 0.0006 | 1.0 | | 0.0007 | 9.0 | 63 | 0.0006 | 1.0 | | 0.0007 | 10.0 | 70 | 0.0006 | 1.0 | ### Framework versions - Transformers 5.0.0 - Pytorch 2.10.0+cpu - Datasets 4.0.0 - Tokenizers 0.22.2