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
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