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wav2vec2-base-mn-pretrain-42h-finetuned-speech-commands

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
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 8

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.0
• Datasets 2.14.4
• Tokenizers 0.13.3