| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - accuracy | |
| - f1 | |
| - precision | |
| - recall | |
| model-index: | |
| - name: distilbert-amazon-shoe-reviews | |
| 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. --> | |
| # distilbert-amazon-shoe-reviews | |
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co./distilbert-base-uncased) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.9536 | |
| - Accuracy: 0.5767 | |
| - F1: [0.62380713 0.45806452 0.5077951 0.56106774 0.73541247] | |
| - Precision: [0.62537764 0.45920398 0.49326923 0.58508403 0.72376238] | |
| - Recall: [0.62224449 0.45693069 0.52320245 0.53894533 0.74744376] | |
| ## 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: 32 | |
| - eval_batch_size: 64 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------------------------------------------------------:|:--------------------------------------------------------:|:--------------------------------------------------------:| | |
| | 0.9704 | 1.0 | 2813 | 0.9536 | 0.5767 | [0.62380713 0.45806452 0.5077951 0.56106774 0.73541247] | [0.62537764 0.45920398 0.49326923 0.58508403 0.72376238] | [0.62224449 0.45693069 0.52320245 0.53894533 0.74744376] | | |
| ### Framework versions | |
| - Transformers 4.19.2 | |
| - Pytorch 1.11.0+cu102 | |
| - Datasets 2.2.2 | |
| - Tokenizers 0.12.1 | |