peft tensorboard safetensors hf-asr-leaderboard generated_from_trainer zh dataset:mozilla-foundation/common_voice_16_0 base_model:openai/whisper-large-v3 license:apache-2.0 region:us
---
language:
- zh
license: apache-2.0
library_name: peft
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_16_0
base_model: openai/whisper-large-v3
model-index:
- name: Whisper Large v3 zh-TW - Chinese
  results: []
---

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# Whisper Large v3 zh-TW - Chinese

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the Common Voice 16.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1537

## 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: 0.001
- train_batch_size: 8
- 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: 50
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.198         | 1.0   | 1507 | 0.1869          |
| 0.0817        | 2.0   | 3014 | 0.1605          |
| 0.021         | 3.0   | 4521 | 0.1537          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0.post301
- Datasets 2.16.1
- Tokenizers 0.15.0