This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice_16_0 dataset. It achieves the following results on the evaluation set:

Loss: 1.7517
Wer: 1.0415

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: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 300
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.8086	15.62	500	1.7517	1.0415

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0

nbaden/wav2vec2-large-xlsr-53-yaksaha

wav2vec2-large-xlsr-53-yaksaha

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nbaden/
wav2vec2-large-xlsr-53-yaksaha