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# openai/whisper-small.en, all the parameters updated for 5 epochs

This model is a fine-tuned version of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.en) on the 2 hour dataset of SPGIspeech(custom dataset) dataset.

## 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: 50
- training_steps: 120
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 1.12.1+cu116
- Datasets 2.4.0
- Tokenizers 0.15.0

{"language": ["en"], "license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["Jungwonchang/spgispeech_xs"], "base_model": "openai/whisper-small.en", "model-index": [{"name": "openai/whisper-small.en, all the parameters updated for 5 epochs", "results": [{"task": {"type": "automatic-speech-recognition", "name": "Automatic Speech Recognition"}, "dataset": {"name": "Test set for spgispeech", "type": "kensho/spgispeech", "config": "test", "split": "test"}, "metrics": [{"type": "wer", "value": 7.11, "name": "WER"}, {"type": "cer", "value": 2.13, "name": "CER"}]}]}]}
transformers safetensors whisper automatic-speech-recognition generated_from_trainer en dataset:Jungwonchang/spgispeech_xs base_model:openai/whisper-small.en license:apache-2.0 model-index endpoints_compatible region:us