| 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: 0.9526 | |
| - Accuracy: 0.5793 | |
| - F1: [0.63065766 0.46287992 0.50875894 0.55936944 0.73581605] | |
| - Precision: [0.62955567 0.46589769 0.49282983 0.58949625 0.7198044 ] | |
| - Recall: [0.63176353 0.45990099 0.52575217 0.53217223 0.75255624] | |
| ## 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 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------------------------------------------------------:|:--------------------------------------------------------:|:--------------------------------------------------------:| | |
| | 0.9618 | 1.0 | 2813 | 0.9526 | 0.5793 | [0.63065766 0.46287992 0.50875894 0.55936944 0.73581605] | [0.62955567 0.46589769 0.49282983 0.58949625 0.7198044 ] | [0.63176353 0.45990099 0.52575217 0.53217223 0.75255624] | | |
| ### Framework versions | |
| - Transformers 4.28.1 | |
| - Pytorch 1.13.1+cu117 | |
| - Datasets 2.12.0 | |
| - Tokenizers 0.13.3 | |