fr_only – AI Model by Hellina | AlphaNeural AI

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Hellina/
fr_only

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facebook/wav2vec2-xls-r-300m

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fr_only

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1454
Wer: 0.6672
Cer: 0.3732

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: 0.0003
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: 10.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
4.2678	0.8	500	3.9064	1.0	1.0
3.8874	1.61	1000	3.8322	1.0	1.0
3.7809	2.41	1500	3.5061	0.9737	0.8809
2.9215	3.21	2000	2.4683	0.9685	0.6577
2.3508	4.01	2500	2.1271	0.9144	0.6212
2.0152	4.82	3000	1.8754	0.8794	0.5677
1.6777	5.62	3500	1.5346	0.7830	0.4904
1.4068	6.42	4000	1.3605	0.7419	0.4583
1.1826	7.22	4500	1.2643	0.6912	0.4349
0.9938	8.03	5000	1.1641	0.7039	0.3977
0.7796	8.83	5500	1.1441	0.6934	0.3865
0.6479	9.63	6000	1.1454	0.6672	0.3732

Framework versions

Transformers 4.36.2
Pytorch 1.13.0+cu116
Datasets 2.15.0
Tokenizers 0.15.2