wav2vec2-large-xls-r-300m-turkish-colab

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: 0.3873
• Wer: 0.3224

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
4.0846	3.67	400	0.7488	0.7702
0.4487	7.34	800	0.4428	0.5255
0.1926	11.01	1200	0.4218	0.4667
0.1302	14.68	1600	0.3957	0.4269
0.0989	18.35	2000	0.4321	0.4085
0.0748	22.02	2400	0.4067	0.3904
0.0615	25.69	2800	0.3914	0.3557
0.0485	29.36	3200	0.3873	0.3224

Framework versions

• Transformers 4.11.3
• Pytorch 1.10.0+cu113
• Datasets 1.18.3
• Tokenizers 0.10.3