wav2vec2-common_voice-tr-demo

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: 0.3556

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: 8
• seed: 42
• gradient_accumulation_steps: 2
• 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
0.0917	14.68	1600	0.3878	0.3582

Framework versions

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