wav2vec2-xls-r-300m-Turkish-Tr-med

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: 0.4727
• Wer: 0.4677

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: 60
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.8093	4.21	400	2.7831	1.0
0.9881	8.42	800	0.5088	0.6681
0.3519	12.63	1200	0.4496	0.6007
0.2436	16.84	1600	0.4993	0.5654
0.1874	21.05	2000	0.4793	0.5530
0.1561	25.26	2400	0.5187	0.5589
0.1336	29.47	2800	0.5135	0.5311
0.1163	33.68	3200	0.4960	0.5143
0.1056	37.89	3600	0.4795	0.5045
0.0959	42.11	4000	0.4883	0.4987
0.0819	46.32	4400	0.4799	0.4903
0.0756	50.53	4800	0.4822	0.4831
0.0692	54.74	5200	0.4621	0.4762
0.062	58.95	5600	0.4727	0.4677

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu111
• Datasets 1.14.0
• Tokenizers 0.10.3