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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/logi dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2265
- Cer: 100.0

## 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: 32
- 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: 250
- training_steps: 2000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer   |
|:-------------:|:------:|:----:|:---------------:|:-----:|
| 0.0004        | 250.0  | 500  | 2.3248          | 100.0 |
| 0.0002        | 500.0  | 1000 | 2.3827          | 100.0 |
| 0.0002        | 750.0  | 1500 | 2.9600          | 100.0 |
| 0.0002        | 1000.0 | 2000 | 3.2265          | 100.0 |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"language": ["ko"], "license": "apache-2.0", "tags": ["hf-asr-leaderboard", "generated_from_trainer"], "datasets": ["DianaJin/logi"], "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/logi base_model:openai/whisper-medium license:apache-2.0 endpoints_compatible region:us