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# whisper-tiny-et-1114_2

This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the common_voice_11_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6201
- Cer: 111.8908

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer      |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.3962        | 0.8   | 50   | 1.8128          | 42.8850  |
| 0.5309        | 1.6   | 100  | 0.6201          | 111.8908 |


### Framework versions

- Transformers 4.35.0.dev0
- Pytorch 2.0.0+cpu
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["common_voice_11_0"], "base_model": "openai/whisper-tiny", "model-index": [{"name": "whisper-tiny-et-1114_2", "results": []}]}
transformers safetensors whisper automatic-speech-recognition generated_from_trainer dataset:common_voice_11_0 base_model:openai/whisper-tiny license:apache-2.0 endpoints_compatible region:us