wav2vec2-large-xlsr-turkish-demo-colab

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

• Loss: 0.4151
• Wer: 0.4822

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
5.2487	4.26	400	1.6455	1.0778
0.71	8.51	800	0.4428	0.6138
0.3073	12.77	1200	0.4214	0.5517
0.2136	17.02	1600	0.4345	0.5193
0.1624	21.28	2000	0.4366	0.5026
0.1298	25.53	2400	0.4111	0.4949
0.1174	29.79	2800	0.4151	0.4822

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu116
• Datasets 2.10.1
• Tokenizers 0.13.2