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---
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
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: 80.77741112626394
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
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: 1.0265
- Wer: 80.7774
- Cer: 205.4415
- Decode Runtime: 296.9575
- Wer Runtime: 0.2339
- Cer Runtime: 0.5476
## 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 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 |
|:-------------:|:------:|:----:|:---------------:|:-------:|:--------:|:--------------:|:-----------:|:-----------:|
| 1.9021 | 1.0357 | 7 | 1.3669 | 70.9647 | 206.0000 | 293.2787 | 0.2383 | 0.5705 |
| 1.248 | 2.0714 | 14 | 1.1785 | 90.1350 | 223.9722 | 301.9501 | 0.2377 | 0.5710 |
| 1.0696 | 3.1071 | 21 | 1.0601 | 84.5443 | 211.8357 | 295.8525 | 0.2329 | 0.5515 |
| 1.0339 | 4.1429 | 28 | 1.0265 | 80.7774 | 205.4415 | 296.9575 | 0.2339 | 0.5476 |
### Framework versions
- PEFT 0.15.1
- Transformers 4.50.3
- Pytorch 2.1.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1 |