roberta-finetuned-gesture-prediction-5-classes – AI Model by qfrodicio | AlphaNeural AI

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qfrodicio/
roberta-finetuned-gesture-prediction-5-classes

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token-classification

generated_from_trainer

qfrodicio/gesture-prediction-5-classes

autotrain_compatible

endpoints_compatible

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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

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
1.4556	1.0	71	0.9405	0.6561	0.6129	0.6561	0.5981
0.7207	2.0	142	0.5276	0.8442	0.8463	0.8442	0.8406
0.4005	3.0	213	0.4997	0.8662	0.8719	0.8662	0.8640
0.2417	4.0	284	0.4764	0.8729	0.8731	0.8729	0.8725
0.1757	5.0	355	0.5135	0.8812	0.8827	0.8812	0.8810
0.1398	6.0	426	0.5266	0.8710	0.8710	0.8710	0.8704
0.0937	7.0	497	0.5438	0.8799	0.8801	0.8799	0.8792
0.07	8.0	568	0.5759	0.8769	0.8770	0.8769	0.8766
0.0552	9.0	639	0.6035	0.8745	0.8741	0.8745	0.8738
0.0478	10.0	710	0.5974	0.8778	0.8775	0.8778	0.8771

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2