README.md

---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-xls-r-300m_phoneme-mfa_korean_samsung-54k_003
  results: []
---

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# wav2vec2-xls-r-300m_phoneme-mfa_korean_samsung-54k_003

Creator & Uploader: Jooyoung Lee (excalibur12@snu.ac.kr)

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on a phonetically balanced native Korean read-speech corpus.

## Training and Evaluation Data

Training Data
- Data Name: Phonetically Balanced Native Korean Read-speech Corpus
- Num. of Samples: 54,000
- Audio Length: 108 Hours

Evaluation Data
- Data Name: Phonetically Balanced Native Korean Read-speech Corpus
- Num. of Samples: 6,000
- Audio Length: 12 Hours

### Training Hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 20 (EarlyStopping: patience -5)
- mixed_precision_training: Native AMP

### Evaluation Result

Phone Error Rate 3.88%

### MFA-IPA Phoneset Tables

# Vowels
![mfa_ipa_chart_vowels](./mfa_ipa_chart_vowels.png)

# Consonants
![mfa_ipa_chart_consonants](./mfa_ipa_chart_consonants.png)

### Framework versions

- Transformers 4.21.3
- Pytorch 1.12.1
- Datasets 2.4.0
- Tokenizers 0.12.1