This model is a fine-tuned version of bayartsogt/wav2vec2-base-mn-pretrain-42h on the Mongolian Speech Commands dataset.
It achieves the following results on the evaluation set:
eval_loss: 0.5607
eval_mn_acc: 0.9830
eval_mn_f1: 0.9857
eval_en_acc: 0.8914
eval_en_f1: 0.8671
eval_runtime: 109.6829
eval_samples_per_second: 46.188
eval_steps_per_second: 0.365
epoch: 6.41
step: 4352
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: 5e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
