---
license: apache-2.0
base_model: openai/whisper-medium
tags:
- whisper-event
- generated_from_trainer
datasets:
- common_voice_15_0
metrics:
- wer
model-index:
- name: Whisper da-nst
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: common_voice_15_0
      type: common_voice_15_0
      config: da
      split: test
      args: da
    metrics:
    - name: Wer
      type: wer
      value: 28.276087362329662
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Whisper da-nst

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co./openai/whisper-medium) on the common_voice_15_0 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7829
- Wer: 28.2761

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer     |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0046        | 4.03  | 1000 | 0.7389          | 31.9209 |
| 0.003         | 9.02  | 2000 | 0.7225          | 29.6108 |
| 0.0001        | 14.01 | 3000 | 0.7554          | 28.3788 |
| 0.0           | 18.04 | 4000 | 0.7761          | 28.3508 |
| 0.0           | 23.03 | 5000 | 0.7829          | 28.2761 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.1