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# whisper-order-finetuned-bg

This model is a fine-tuned version of [emonidi/whisper-order-finetuned-bg](https://huggingface.co/emonidi/whisper-order-finetuned-bg) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0001
- Wer: 0.0

## 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 0.0011        | 4.0   | 5    | 0.0016          | 0.0 |
| 0.0001        | 7.38  | 10   | 0.0003          | 0.0 |
| 0.0001        | 11.0  | 15   | 0.0002          | 0.0 |
| 0.0           | 14.77 | 20   | 0.0001          | 0.0 |
| 0.0           | 18.0  | 25   | 0.0001          | 0.0 |
| 0.0           | 22.0  | 30   | 0.0001          | 0.0 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["wer"], "base_model": "emonidi/whisper-order-finetuned-bg", "model-index": [{"name": "whisper-order-finetuned-bg", "results": []}]}
transformers tensorboard safetensors whisper automatic-speech-recognition generated_from_trainer base_model:emonidi/whisper-order-finetuned-bg license:apache-2.0 endpoints_compatible region:us