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# Whisper_ASR_ATC

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the AshtonLKY/augmented_audio dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.0084
- eval_wer: 6.1320
- eval_runtime: 3863.0969
- eval_samples_per_second: 3.479
- eval_steps_per_second: 0.217
- epoch: 2.98
- step: 10000

## 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: 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: 20000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.37.1
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"language": ["en"], "license": "apache-2.0", "tags": ["asr-fyp", "generated_from_trainer"], "datasets": ["AshtonLKY/Whisper_ASR_ATC"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper_ASR_ATC", "results": []}]}
transformers safetensors whisper automatic-speech-recognition asr-fyp generated_from_trainer en dataset:AshtonLKY/Whisper_ASR_ATC base_model:openai/whisper-small license:apache-2.0 endpoints_compatible region:us