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# whisper_Y_4997_sentence

This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the whisper_Y_4997 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0290
- Wer: 4.9628

## 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: 500
- training_steps: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0052        | 4.0   | 1000 | 0.0316          | 5.2109 |
| 0.0004        | 8.0   | 2000 | 0.0286          | 4.7643 |
| 0.0001        | 12.0  | 3000 | 0.0292          | 4.9132 |
| 0.0001        | 16.0  | 4000 | 0.0290          | 4.9628 |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2

{"language": ["en"], "license": "apache-2.0", "tags": ["y4997-asr-leaderboard", "generated_from_trainer"], "datasets": ["Y_sentence_4997_data"], "metrics": ["wer"], "base_model": "openai/whisper-base", "model-index": [{"name": "whisper_Y_4997_sentence", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "whisper_Y_4997", "type": "Y_sentence_4997_data", "args": "config: ko, split: valid"}, "metrics": [{"type": "wer", "value": 4.962779156327544, "name": "Wer"}]}]}]}
transformers tensorboard safetensors whisper automatic-speech-recognition y4997-asr-leaderboard generated_from_trainer en dataset:Y_sentence_4997_data base_model:openai/whisper-base license:apache-2.0 model-index endpoints_compatible region:us