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Muayad2025/
wav2vec2-large-xlsr-persian-v3

Name: wav2vec2-large-xlsr-persian-v3
Availability: InStock

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wav2vec2-large-xlsr-persian-v3

This model is a fine-tuned version of m3hrdadfi/wav2vec2-large-xlsr-persian-v3 on the None dataset. It achieves the following results on the evaluation set:

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The following hyperparameters were used during training:

learning_rate: 0.0003
train_batch_size: 8
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
3.0631	1.0246	500	1.1507	0.7601	0.1762
2.2749	2.0492	1000	0.9054	0.6031	0.1372
1.7436	3.0738	1500	0.8125	0.5660	0.1249
1.3863	4.0985	2000	0.8070	0.5234	0.1149
1.1449	5.1231	2500	0.7524	0.4885	0.1062
0.9244	6.1477	3000	0.7877	0.4952	0.1079
0.8508	7.1723	3500	0.8065	0.4728	0.1023
0.7046	8.1969	4000	0.8046	0.4640	0.0996
0.6719	9.2215	4500	0.8432	0.4589	0.0972
0.6039	10.2462	5000	0.8846	0.4534	0.0954
0.5592	11.2708	5500	0.8684	0.4483	0.0957
0.4851	12.2954	6000	0.8910	0.4372	0.0924
0.4627	13.32	6500	0.9257	0.4399	0.0916
0.4216	14.3446	7000	0.9784	0.4317	0.0900
0.4046	15.3692	7500	0.9719	0.4252	0.0886
0.3820	16.3938	8000	0.9712	0.4277	0.0893
0.3696	17.4185	8500	0.9684	0.4214	0.0880
0.3592	18.4431	9000	0.9757	0.4176	0.0869
0.3343	19.4677	9500	0.9866	0.4140	0.0857