Epidot/TwitchLeagueBert-1000k-finetuned-highlight-detection

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TwitchLeagueBert-1000k-finetuned-highlight-detection

This model is a fine-tuned version of Epidot/TwitchLeagueBert-1000k on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.1146
• —Precision: 0.4420
• —F1: 0.3977
• —Recall: 0.3614

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: 32
• —evalbatchsize: 32
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 10

Training results

Framework versions

• —Transformers 4.18.0
• —Pytorch 1.7.1
• —Datasets 2.0.0
• —Tokenizers 0.12.1