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# openai/whisper-tiny

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the lowband_and_meeting_all dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3738
- Cer: 13.4287

## 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
- distributed_type: multi-GPU
- num_devices: 4
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 250000

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Cer     |
|:-------------:|:-----:|:------:|:---------------:|:-------:|
| 0.5117        | 0.31  | 30000  | 0.4877          | 21.1183 |
| 0.4554        | 0.61  | 60000  | 0.4383          | 18.1652 |
| 0.4522        | 0.92  | 90000  | 0.4145          | 15.3446 |
| 0.4183        | 1.23  | 120000 | 0.4001          | 14.2250 |
| 0.402         | 1.53  | 150000 | 0.3913          | 13.6760 |
| 0.4031        | 1.84  | 180000 | 0.3830          | 14.3400 |
| 0.3735        | 2.15  | 210000 | 0.3766          | 14.6654 |
| 0.3829        | 2.46  | 240000 | 0.3738          | 13.4287 |


### Framework versions

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

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