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---
language:
- ko
license: apache-2.0
tags:
- hf-asr-leaderboard
- generated_from_trainer
datasets:
- unanam/mdrama
base_model: openai/whisper-small
model-index:
- name: whisper-small-ver1
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-ver1
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the 사극 드라마 dataset.
It achieves the following results on the evaluation set:
- Loss: 8.2325
- Cer: 84.4150
## 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: 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: 4000
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.9362 | 5.59 | 1000 | 4.0341 | 165.0697 |
| 0.5237 | 11.17 | 2000 | 5.7270 | 88.3566 |
| 0.1343 | 16.76 | 3000 | 7.0163 | 83.8232 |
| 0.0004 | 22.35 | 4000 | 8.2325 | 84.4150 |
### Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.1
|