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# Whisper Small Th - ktc17

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.0 dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2539
- eval_wer: 119.0783
- eval_runtime: 6397.4314
- eval_samples_per_second: 1.725
- eval_steps_per_second: 0.216
- epoch: 3.09
- step: 2000

## 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: 64
- 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: 5000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.2.dev0
- Tokenizers 0.15.0

{"language": ["th"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["mozilla-foundation/common_voice_16_0"], "base_model": "openai/whisper-small", "model-index": [{"name": "Whisper Small Th - ktc17", "results": []}]}
transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer th dataset:mozilla-foundation/common_voice_16_0 base_model:openai/whisper-small license:apache-2.0 endpoints_compatible region:us