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

Loss: 0.7651
Wer: 0.6166

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: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 100.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.8032	8.77	500	0.8059	0.8352
1.2608	17.54	1000	0.5828	0.6769
1.1337	26.32	1500	0.6892	0.6908
1.0457	35.09	2000	0.7077	0.6781
0.97	43.86	2500	0.5993	0.6228
0.8767	52.63	3000	0.7213	0.6604
0.8223	61.4	3500	0.8161	0.6968
0.7441	70.18	4000	0.7057	0.6184
0.7011	78.95	4500	0.7027	0.6024
0.6542	87.72	5000	0.7092	0.5979
0.6081	96.49	5500	0.7917	0.6324

Framework versions

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

infinitejoy/wav2vec2-large-xls-r-300m-chuvash

wav2vec2-large-xls-r-300m-chuvash

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

infinitejoy/
wav2vec2-large-xls-r-300m-chuvash