| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - yelp_review_full | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: yelp_review_classification | |
| results: | |
| - task: | |
| name: Text Classification | |
| type: text-classification | |
| dataset: | |
| name: yelp_review_full | |
| type: yelp_review_full | |
| config: yelp_review_full | |
| split: train | |
| args: yelp_review_full | |
| metrics: | |
| - name: Accuracy | |
| type: accuracy | |
| value: 0.6852 | |
| <!-- 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. --> | |
| # yelp_review_classification | |
| This model was trained from scratch on the yelp_review_full dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.8517 | |
| - Accuracy: 0.6852 | |
| ## 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 | Accuracy | Validation Loss | | |
| |:-------------:|:-----:|:------:|:--------:|:---------------:| | |
| | 0.7149 | 1.0 | 40625 | 0.6889 | 0.7167 | | |
| | 0.6501 | 2.0 | 81250 | 0.6967 | 0.6979 | | |
| | 0.5547 | 3.0 | 121875 | 0.6915 | 0.7377 | | |
| | 0.5375 | 4.0 | 162500 | 0.6895 | 0.7611 | | |
| | 0.4386 | 5.0 | 203125 | 0.8517 | 0.6852 | | |
| ### Framework versions | |
| - Transformers 4.22.2 | |
| - Pytorch 1.12.1+cu102 | |
| - Datasets 2.5.2 | |
| - Tokenizers 0.12.1 | |