Servarr/bert-finetuned-radarr

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bert-finetuned-radarr

This model is a fine-tuned version of distilbert-base-uncased on the movie_releases dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0731
• —Precision: 0.9555
• —Recall: 0.9639
• —F1: 0.9597
• —Accuracy: 0.9818

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: 2e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.20.1
• —Pytorch 1.11.0+cu113
• —Datasets 2.3.2
• —Tokenizers 0.12.1