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: 0.9524
• Accuracy: 0.579
• F1: [0.62880121 0.47009599 0.50419753 0.55847134 0.73663068]
• Precision: [0.63086233 0.46744983 0.4887506 0.58988159 0.72372965]
• Recall: [0.62675351 0.47277228 0.52065273 0.53023706 0.75 ]

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: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1

Training results

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3