transformers pytorch whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer ja dataset:pxaudio/user_da91d399b47141ccaa812c8b16e8c380_model base_model:openai/whisper-small license:apache-2.0 endpoints_compatible region:us
---
language:
- ja
license: apache-2.0
base_model: openai/whisper-small
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- pxaudio/user_da91d399b47141ccaa812c8b16e8c380_model
model-index:
- name: PXAudio Whisper For user_da91d399b47141ccaa812c8b16e8c380
  results: []
---

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# PXAudio Whisper For user_da91d399b47141ccaa812c8b16e8c380

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ja 0.1 dataset.

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 100

### Training results



### Framework versions

- Transformers 4.33.3
- Pytorch 2.1.2+cu118
- Datasets 2.16.1
- Tokenizers 0.13.3
