pytorch tensorboard wav2vec2 automatic-speech-recognition transformers generated_from_trainer model-index
---
tags:
- generated_from_trainer
model-index:
- name: checkpoints2
  results: []
---

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# checkpoints2

This model is a fine-tuned version of [ttop324/wav2vec2-live-japanese](https://huggingface.co/ttop324/wav2vec2-live-japanese) on the extracted and cleaned transcript of [Holo No Graffiti](https://youtube.com/playlist?list=PLS51cvjOMUKwKtxe_IxhbBBvQ9XpiL1W_)
dataset.


## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

Evaluated from [common_voice | train | ja ](https://huggingface.co/datasets/common_voice/viewer/ja/test):
 - WER: 32.940524
 - CER: 15.251746

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 3
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 50
- mixed_precision_training: Native AMP


### Framework versions

- Transformers 4.17.0
- Pytorch 1.11.0+cu113
- Datasets 1.18.3
- Tokenizers 0.12.1
