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distilbert-amazon-shoe-reviews-scaled
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: 1.1836
- Accuracy: 0.456
- F1: [0.56281407 0.31088083 0.32608696 0.32142857 0.6640625 ]
- Precision: [0.5045045 0.34090909 0.37037037 0.35064935 0.59440559]
- Recall: [0.63636364 0.28571429 0.29126214 0.2967033 0.75221239]
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 |
|---|---|---|---|---|---|---|---|
| 1.3447 | 1.0 | 141 | 1.1836 | 0.456 | [0.56281407 0.31088083 0.32608696 0.32142857 0.6640625 ] | [0.5045045 0.34090909 0.37037037 0.35064935 0.59440559] | [0.63636364 0.28571429 0.29126214 0.2967033 0.75221239] |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
