---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: dgx1_whisper_tiny_finetune_teacher_babble_noise_mozilla_40_epochs_batch_32
  results: []
---

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# dgx1_whisper_tiny_finetune_teacher_babble_noise_mozilla_40_epochs_batch_32

This model is a fine-tuned version of [openai/whisper-tiny.en](https://huggingface.co/openai/whisper-tiny.en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0819
- Wer: 38.0301

## 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: 0.0005
- train_batch_size: 32
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 40
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.622         | 7.35  | 500  | 0.8796          | 41.4282 |
| 0.151         | 14.7  | 1000 | 1.0639          | 41.4038 |
| 0.0146        | 22.06 | 1500 | 1.0756          | 38.3399 |
| 0.0004        | 29.41 | 2000 | 1.0791          | 38.0753 |
| 0.0003        | 36.76 | 2500 | 1.0819          | 38.0301 |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.12.1
- Datasets 2.8.0
- Tokenizers 0.13.2