---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- bayartsogt/mongolian_speech_commands
model-index:
- name: wav2vec2-base-mn-pretrain-42h-finetuned-speech-commands
  results: []
---

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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](https://huggingface.co/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