---
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: home_workstation_ASR
  results: []
---

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

This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3540
- Wer Ortho: 20.1592
- Wer: 15.1297

## 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: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 4000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
| 0.232         | 0.9   | 1000 | 0.3209          | 21.7751   | 16.8164 |
| 0.1153        | 1.8   | 2000 | 0.3150          | 20.7647   | 15.7552 |
| 0.0653        | 2.7   | 3000 | 0.3327          | 20.2443   | 15.2927 |
| 0.032         | 3.6   | 4000 | 0.3540          | 20.1592   | 15.1297 |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1