This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - AS dataset. It achieves the following results on the evaluation set:

Loss: 0.9814
Wer: 0.7402

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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 400
num_epochs: 100.0
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	20.0	400	3.1447	1.0
No log	40.0	800	1.0074	0.8556
3.1278	60.0	1200	0.9507	0.7711
3.1278	80.0	1600	0.9730	0.7630
0.8247	100.0	2000	0.9814	0.7402

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-assamese-cv8

wav2vec2-large-xls-r-300m-assamese-cv8

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

infinitejoy/
wav2vec2-large-xls-r-300m-assamese-cv8