---
library_name: transformers
language:
- en
license: apache-2.0
base_model: openai/whisper-large-v3
tags:
- wft
- whisper
- automatic-speech-recognition
- audio
- speech
- generated_from_trainer
datasets:
- ntnu-smil/sandi2025-ds
metrics:
- wer
model-index:
- name: whisper-large-v3-sandi-7k-64-448steps
  results:
  - task:
      type: automatic-speech-recognition
      name: Automatic Speech Recognition
    dataset:
      name: ntnu-smil/sandi2025-ds
      type: ntnu-smil/sandi2025-ds
    metrics:
    - type: wer
      value: 24.09465733000756
      name: Wer
---

<!-- 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-large-v3-sandi-7k-64-448steps

This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the ntnu-smil/sandi2025-ds dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5722
- Wer: 24.0947
- Cer: 56.2387
- Decode Runtime: 203.1841
- Wer Runtime: 0.1735
- Cer Runtime: 0.3276

## 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: 7e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 448

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     | Cer     | Decode Runtime | Wer Runtime | Cer Runtime |
|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:--------------:|:-----------:|:-----------:|
| 0.6419        | 1.0223 | 112  | 0.6663          | 20.0083 | 24.8032 | 187.4701       | 0.1653      | 0.2986      |
| 0.6651        | 2.0446 | 224  | 0.6117          | 20.0564 | 34.0018 | 189.8527       | 0.1717      | 0.3134      |
| 0.4682        | 3.0670 | 336  | 0.5826          | 21.0683 | 32.6385 | 190.6981       | 0.1750      | 0.3082      |
| 0.8059        | 4.0893 | 448  | 0.5722          | 24.0947 | 56.2387 | 203.1841       | 0.1735      | 0.3276      |


### Framework versions

- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.4.1+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1