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distilbert-amazon-shoe-review
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9690
- Accuracy: 0.5695
- F1: [0.62933333 0.43899923 0.48862216 0.54586923 0.73624476]
- Precision: [0.6096759 0.45826602 0.47939156 0.57317722 0.71149261]
- Recall: [0.6503006 0.42128713 0.4982152 0.52104499 0.76278119]
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: 128
- eval_batch_size: 256
- 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 |
---|---|---|---|---|---|---|---|
0.9781 | 1.0 | 704 | 0.9690 | 0.5695 | [0.62933333 0.43899923 0.48862216 0.54586923 0.73624476] | [0.6096759 0.45826602 0.47939156 0.57317722 0.71149261] | [0.6503006 0.42128713 0.4982152 0.52104499 0.76278119] |
Framework versions
- Transformers 4.27.1
- Pytorch 2.0.0+cu117
- Datasets 2.10.1
- Tokenizers 0.13.2