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

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

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

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

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