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# jinkrsmodel

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the DianaJin/krmodel dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1290
- Cer: 92.0690

## 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: 20
- training_steps: 160
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.1899        | 13.33 | 40   | 1.0819          | 153.1034 |
| 0.0027        | 26.67 | 80   | 1.0554          | 24.8276  |
| 0.0006        | 40.0  | 120  | 1.1173          | 39.3103  |
| 0.0004        | 53.33 | 160  | 1.1290          | 92.0690  |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"language": ["ko"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["DianaJin/krmodel"], "base_model": "openai/whisper-medium", "model-index": [{"name": "jinkrsmodel", "results": []}]}
transformers tensorboard safetensors whisper automatic-speech-recognition hf-asr-leaderboard generated_from_trainer ko dataset:DianaJin/krmodel base_model:openai/whisper-medium license:apache-2.0 endpoints_compatible region:us