---
library_name: peft
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-train-dev-1-pure-transcript
  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: 65.39948134905774
      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-train-dev-1-pure-transcript

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: 1.0261
- Wer: 65.3995
- Cer: 213.4907
- Decode Runtime: 248.5027
- Wer Runtime: 0.1970
- Cer Runtime: 0.4672

## 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: 32
- total_train_batch_size: 1024
- 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: 28

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Wer     | Cer      | Decode Runtime | Wer Runtime | Cer Runtime |
|:-------------:|:------:|:----:|:---------------:|:-------:|:--------:|:--------------:|:-----------:|:-----------:|
| 1.9028        | 1.0357 | 7    | 1.3667          | 66.9265 | 208.4993 | 242.8888       | 0.2264      | 0.5201      |
| 1.2484        | 2.0714 | 14   | 1.1791          | 77.8309 | 225.9183 | 246.8109       | 0.1974      | 0.4752      |
| 1.0689        | 3.1071 | 21   | 1.0594          | 69.5579 | 217.8173 | 249.6101       | 0.1961      | 0.4627      |
| 1.0336        | 4.1429 | 28   | 1.0261          | 65.3995 | 213.4907 | 248.5027       | 0.1970      | 0.4672      |


### Framework versions

- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.4.1+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1