distilbert-finetuned-gesture-prediction-9-classes

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distilbert-finetuned-gesture-prediction-9-classes

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

• Loss: 0.6479
• Accuracy: 0.8214
• Precision: 0.8230
• Recall: 0.8214
• F1: 0.8172

It achieves the following results on the test set:

• Loss: 0.6475
• Accuracy: 0.8144
• Precision: 0.8144
• Recall: 0.8144
• F1: 0.8095

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

The model has been trained on the qfrodicio/gesture-prediction-9-classes dataset

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• weight_decay: 0.01
• 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