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

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: 0.4375
• Wer: 0.5050

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: 30
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.8735	4.21	400	2.8173	1.0002
1.0073	8.42	800	0.4981	0.6717
0.3395	12.63	1200	0.4470	0.5866
0.2254	16.84	1600	0.4349	0.5491
0.1648	21.05	2000	0.4454	0.5284
0.1325	25.26	2400	0.4552	0.5131
0.1102	29.47	2800	0.4375	0.5050

Framework versions

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