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---
language:
- nan
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_16_1
- mozilla-foundation/common_voice_15_0
model-index:
- name: Whisper Small Taiwanese
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Whisper Small Taiwanese
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co./openai/whisper-small) on the Common Voice 16.1 and the Common Voice 15.0 datasets.
It achieves the following results on the evaluation set:
- Loss: 0.4216
- Cer: 32.6110
## 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: 100
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.7938 | 0.16 | 500 | 0.7768 | 55.8341 |
| 0.5845 | 0.32 | 1000 | 0.5947 | 41.1522 |
| 0.459 | 0.48 | 1500 | 0.5132 | 37.6183 |
| 0.3512 | 0.64 | 2000 | 0.4709 | 35.4047 |
| 0.3758 | 0.8 | 2500 | 0.4363 | 33.5778 |
| 0.3191 | 0.96 | 3000 | 0.4216 | 32.6110 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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