wav2vec2-large-xls-r-300m-tatar

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

• Loss: 0.1959
• Wer: 0.2454

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: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 4000
• num_epochs: 50.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.173	9.66	4000	0.2920	0.3608
0.9433	19.32	8000	0.2336	0.3026
0.8552	28.99	12000	0.2221	0.2799
0.7863	38.65	16000	0.1953	0.2479
0.7365	48.31	20000	0.1968	0.2449

Framework versions

• Transformers 4.16.0.dev0
• Pytorch 1.10.1+cu102
• Datasets 1.18.3
• Tokenizers 0.11.0