P3ps / distilbert-amazon-shoe-reviews

huggingface.co
Total runs: 4
24-hour runs: 0
7-day runs: 2
30-day runs: -3
Model's Last Updated: April 20 2023
text-classification

Introduction of distilbert-amazon-shoe-reviews

Model Details of distilbert-amazon-shoe-reviews

distilbert-amazon-shoe-reviews

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: 0.9519
  • Accuracy: 0.5757
  • F1: [0.63178677 0.45622938 0.50453543 0.55380711 0.73119358]
  • Precision: [0.62256809 0.46798542 0.48583569 0.58248799 0.71751969]
  • Recall: [0.64128257 0.4450495 0.52473228 0.52781809 0.74539877]
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
0.9652 1.0 2813 0.9519 0.5757 [0.63178677 0.45622938 0.50453543 0.55380711 0.73119358] [0.62256809 0.46798542 0.48583569 0.58248799 0.71751969] [0.64128257 0.4450495 0.52473228 0.52781809 0.74539877]
Framework versions
  • Transformers 4.28.1
  • Pytorch 2.0.0+cu118
  • Datasets 2.11.0
  • Tokenizers 0.13.3

Runs of P3ps distilbert-amazon-shoe-reviews on huggingface.co

4
Total runs
0
24-hour runs
0
3-day runs
2
7-day runs
-3
30-day runs

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