transformers tensorboard safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer ko dataset:unanam/mdrama base_model:openai/whisper-small license:apache-2.0 endpoints_compatible region:us
---
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
