This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the COMMON_VOICE - TR dataset. It achieves the following results on the evaluation set:

Loss: 0.3856
Wer: 0.3581
Cer: 0.0805

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: 4
num_gpus: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 1
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 15.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.7391	0.92	100	3.5760	1.0
2.927	1.83	200	3.0796	0.9999
0.9009	2.75	300	0.9278	0.8226
0.6529	3.67	400	0.5926	0.6367
0.3623	4.59	500	0.5372	0.5692
0.2888	5.5	600	0.4407	0.4838
0.285	6.42	700	0.4341	0.4694
0.0842	7.34	800	0.4153	0.4302
0.1415	8.26	900	0.4317	0.4136
0.1552	9.17	1000	0.4145	0.4013
0.1184	10.09	1100	0.4115	0.3844
0.0556	11.01	1200	0.4182	0.3862
0.0851	11.93	1300	0.3985	0.3688
0.0961	12.84	1400	0.4030	0.3665
0.0596	13.76	1500	0.3880	0.3631
0.0359	14.68	1600	0.3878	0.3589

Framework versions

Transformers 4.11.0.dev0
Pytorch 1.9.0+cu111
Datasets 1.12.1
Tokenizers 0.10.3

patrickvonplaten/wav2vec2-common_voice-tr-demo-dist

wav2vec2-common_voice-tr-demo-dist

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

patrickvonplaten/
wav2vec2-common_voice-tr-demo-dist