| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: juliensimon/amazon-shoe-reviews | |
| metrics: | |
| - accuracy | |
| - f1 | |
| - precision | |
| - recall | |
| model-index: | |
| - name: distilbert-amazon-shoe-reviews | |
| results: [] | |
| # distilbert-amazon-shoe-reviews | |
| This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on a [subset](https://huggingface.co/datasets/juliensimon/amazon-shoe-reviews) of the [Amazon US reviews](https://huggingface.co/datasets/amazon_us_reviews) dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.9532 | |
| - Accuracy: 0.5779 | |
| - F1: [0.62616119 0.46456105 0.50993865 0.55755123 0.734375 ] | |
| - Precision: [0.62757927 0.46676662 0.49148534 0.58430541 0.72415507] | |
| - Recall: [0.6247495 0.46237624 0.52983172 0.53313982 0.74488753] | |
| ## 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 | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------------------------------------------------------:|:--------------------------------------------------------:|:--------------------------------------------------------:| | |
| | 0.9713 | 1.0 | 2813 | 0.9532 | 0.5779 | [0.62616119 0.46456105 0.50993865 0.55755123 0.734375 ] | [0.62757927 0.46676662 0.49148534 0.58430541 0.72415507] | [0.6247495 0.46237624 0.52983172 0.53313982 0.74488753] | | |
| ### Framework versions | |
| - Transformers 4.20.1 | |
| - Pytorch 1.12.0+cu102 | |
| - Datasets 2.3.2 | |
| - Tokenizers 0.12.1 | |