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---
language:
- ko
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
base_model: openai/whisper-small
datasets:
- Yettiesoft/voice_medical_cut_small_vector
model-index:
- name: jazzhong1/jazzhong1_medical_whisper_cut_small_3
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. -->
# jazzhong1/jazzhong1_medical_whisper_cut_small_3
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Yettiesoft/voice_medical_cut_small_vector dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2959
- Cer: 8.2065
## 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: 4e-05
- train_batch_size: 32
- 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: 5000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.3011 | 0.9381 | 1000 | 0.3146 | 11.6877 |
| 0.2058 | 1.8762 | 2000 | 0.2831 | 9.7311 |
| 0.1046 | 2.8143 | 3000 | 0.2834 | 8.9407 |
| 0.0364 | 3.7523 | 4000 | 0.2867 | 8.5658 |
| 0.0111 | 4.6904 | 5000 | 0.2959 | 8.2065 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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