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: 0.3864
• Wer: 0.3570

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
3.8302	3.67	400	0.6702	0.6903
0.4098	7.34	800	0.4574	0.4939
0.1908	11.01	1200	0.4350	0.4557
0.1279	14.68	1600	0.4204	0.4213
0.0966	18.35	2000	0.4238	0.3991
0.0782	22.02	2400	0.3822	0.3906
0.0613	25.69	2800	0.3982	0.3714
0.0477	29.36	3200	0.3864	0.3570

Framework versions

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