canine_vowelizer_0701_retrain – AI Model by Buseak | AlphaNeural AI

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Buseak/
canine_vowelizer_0701_retrain

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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canine_vowelizer_0701_retrain

This model is a fine-tuned version of Buseak/canine_vowelizer_0701 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0066
Precision: 1.0000
Recall: 1.0000
F1: 1.0000
Accuracy: 0.9980

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
train_batch_size: 8
eval_batch_size: 8
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	Precision	Recall	F1	Accuracy
0.0816	1.0	976	0.0322	1.0000	1.0000	1.0000	0.9891
0.0776	2.0	1952	0.0273	0.9999	1.0000	1.0000	0.9906
0.0694	3.0	2928	0.0228	0.9999	1.0000	1.0000	0.9924
0.0617	4.0	3904	0.0181	1.0000	1.0000	1.0000	0.9939
0.0559	5.0	4880	0.0144	1.0000	1.0000	1.0000	0.9952
0.0477	6.0	5856	0.0120	1.0000	1.0000	1.0000	0.9962
0.0438	7.0	6832	0.0098	1.0000	1.0000	1.0000	0.9969
0.0397	8.0	7808	0.0080	1.0000	1.0000	1.0000	0.9975
0.0365	9.0	8784	0.0071	1.0000	1.0000	1.0000	0.9978
0.0328	10.0	9760	0.0066	1.0000	1.0000	1.0000	0.9980

Framework versions

Transformers 4.28.0
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.13.3