---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: workstation_whisper_tiny_finetune_teacher_no_noise_libri_40_epochs_batch_8
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# workstation_whisper_tiny_finetune_teacher_no_noise_libri_40_epochs_batch_8

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: 0.4597
- Wer: 14.5197

## 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: 0.001
- train_batch_size: 8
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 256
- total_train_batch_size: 2048
- 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: 200
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     |
|:-------------:|:------:|:----:|:---------------:|:-------:|
| 0.0539        | 76.86  | 1000 | 0.4647          | 15.6594 |
| 0.0006        | 153.79 | 2000 | 0.4597          | 14.5197 |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1
- Datasets 2.7.1
- Tokenizers 0.11.0