juliensimon/distilbert-amazon-shoe-reviews-tensorboard

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distilbert-amazon-shoe-reviews-tensorboard

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: 0.9534
• —Accuracy: 0.5779
• —F1: [0.63189419 0.46645049 0.50381304 0.55843496 0.73060507]
• —Precision: [0.62953754 0.47008547 0.48669202 0.58801498 0.71780957]
• —Recall: [0.63426854 0.46287129 0.52218256 0.53168844 0.74386503]

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: 64
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.20.1
• —Pytorch 1.12.0+cu102
• —Datasets 2.3.2
• —Tokenizers 0.12.1