wav2vec2-large-xls-r-300m-kurdish

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - KMR dataset. It achieves the following results on the evaluation set:

• Loss: 0.2548
• Wer: 0.2688

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: 7e-05
• train_batch_size: 32
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 2000
• num_epochs: 100.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.3161	12.27	2000	0.4199	0.4797
1.0643	24.54	4000	0.2982	0.3721
0.9718	36.81	6000	0.2762	0.3333
0.8772	49.08	8000	0.2586	0.3051
0.8236	61.35	10000	0.2575	0.2865
0.7745	73.62	12000	0.2603	0.2816
0.7297	85.89	14000	0.2539	0.2727
0.7079	98.16	16000	0.2554	0.2681

Framework versions

• Transformers 4.16.0.dev0
• Pytorch 1.10.1+cu102
• Datasets 1.17.1.dev0
• Tokenizers 0.11.0