wav2vec2-large-xls-r-300m-mongolian

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

• Loss: 0.6003
• Wer: 0.4473

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: 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
1.3677	15.87	2000	0.6432	0.6198
1.1379	31.75	4000	0.6196	0.5592
1.0093	47.62	6000	0.5828	0.5117
0.8888	63.49	8000	0.5754	0.4822
0.7985	79.37	10000	0.5987	0.4690
0.697	95.24	12000	0.6014	0.4471

Framework versions

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