transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer yue base_model:openai/whisper-large-v3 license:apache-2.0 endpoints_compatible region:us
---
language:
- yue
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- generated_from_trainer
model-index:
- name: Whisper large-v3 Bisyllabic Jyutping
  results: []
---

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# Whisper large-v3 Bisyllabic Jyutping

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the AlienKevin/cantone dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2668
- eval_wer: 31.7361
- eval_runtime: 1403.0426
- eval_samples_per_second: 0.513
- eval_steps_per_second: 0.032
- epoch: 0.04
- step: 400

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 400
- training_steps: 2400

### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.0
- Datasets 2.14.5
- Tokenizers 0.15.1
