--- license: apache-2.0 tags: - text-classification - generated_from_trainer metrics: - accuracy model-index: - name: categorizacion_comercios_v_0.0.8 results: [] --- <!-- 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. --> # categorizacion_comercios_v_0.0.8 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the datasetX dataset. It achieves the following results on the evaluation set: - Loss: 0.5323 - Accuracy: 0.8671 ## 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: 5e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Training results ### Framework versions - Transformers 4.23.1 - Pytorch 1.13.0+cpu - Datasets 2.6.1 - Tokenizers 0.13.1