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-ver2
  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-ver2

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: 0.6016
- Cer: 15.2224

## 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: 20
- 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: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.1387        | 3.5   | 500  | 0.4537          | 16.3581 |
| 0.0218        | 6.99  | 1000 | 0.5024          | 16.0241 |
| 0.0041        | 10.49 | 1500 | 0.5310          | 15.2224 |
| 0.0028        | 13.99 | 2000 | 0.5554          | 18.7918 |
| 0.0009        | 17.48 | 2500 | 0.5743          | 14.9265 |
| 0.0012        | 20.98 | 3000 | 0.5883          | 15.2510 |
| 0.0006        | 24.48 | 3500 | 0.5982          | 15.2128 |
| 0.0006        | 27.97 | 4000 | 0.6016          | 15.2224 |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.1
