You can deploy this model and start earning money today!

burakyldrm/
wav2vec2-burak-new-300-v2

Name: wav2vec2-burak-new-300-v2
Availability: InStock

automatic-speech-recognition

generated_from_trainer

common_voice

apache-2.0

endpoints_compatible

Views

No views yet

wav2vec2-burak-new-300-v2

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. It achieves the following results on the evaluation set:

Loss: 0.7018
Wer: 0.3641

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: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 141

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.2967	8.62	500	1.0561	0.8351
0.5199	17.24	1000	0.6019	0.5054
0.2249	25.86	1500	0.6036	0.4576
0.1573	34.48	2000	0.6680	0.4532
0.1301	43.1	2500	0.6823	0.4396
0.1108	51.72	3000	0.6630	0.4263
0.0941	60.34	3500	0.6574	0.4226
0.0797	68.97	4000	0.6796	0.4174
0.0689	77.59	4500	0.6426	0.4088
0.0612	86.21	5000	0.6615	0.3949
0.0528	94.83	5500	0.6769	0.3906
0.0515	103.45	6000	0.6073	0.3827
0.0394	112.07	6500	0.7099	0.3767
0.0352	120.69	7000	0.7082	0.3688
0.0324	129.31	7500	0.6939	0.3699
0.028	137.93	8000	0.7018	0.3641

Framework versions

Transformers 4.21.3
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1

burakyldrm/wav2vec2-burak-new-300-v2

wav2vec2-burak-new-300-v2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

burakyldrm/
wav2vec2-burak-new-300-v2