juliensimon/distilbert-amazon-shoe-reviews

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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
• —trainbatchsize: 32
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: 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