roberta-finetuned-gesture-prediction-5-classes

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roberta-finetuned-gesture-prediction-5-classes

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4764
• Accuracy: 0.8729
• Precision: 0.8731
• Recall: 0.8729
• F1: 0.8725

It achieves the following results on the evaluation set:

• Loss: 0.4842
• Accuracy: 0.8628
• Precision: 0.8629
• Recall: 0.8628
• F1: 0.8619

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

The model has been trained with the qfrodicio/gesture-prediction-5-classes dataset

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2