metadata
library_name: peft
language:
- nl
license: apache-2.0
base_model: openai/whisper-large-v2
tags:
- base_model:adapter:openai/whisper-large-v2
- lora
- transformers
datasets:
- jasmin
- jasmin-cgn
metrics:
- wer
model-index:
- name: exp1-whisper-jasmin-child
results:
- task:
type: automatic-speech-recognition
name: Automatic Speech Recognition
dataset:
name: JASMIN-CGN
type: jasmin
metrics:
- type: wer
value: 17.334854228872413
name: Wer
exp1-whisper-jasmin-child
This model is a fine-tuned version of openai/whisper-large-v2 on the JASMIN-CGN dataset. It achieves the following results on the evaluation set:
- Loss: 0.3635
- Wer: 17.3349
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: 48
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 81
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.0258 | 0.1838 | 50 | 1.1952 | 37.8166 |
| 0.9199 | 0.3676 | 100 | 1.0455 | 35.2233 |
| 0.7782 | 0.5515 | 150 | 0.8236 | 32.5159 |
| 0.5719 | 0.7353 | 200 | 0.5861 | 29.6004 |
| 0.4533 | 0.9191 | 250 | 0.4692 | 23.8233 |
| 0.4438 | 1.1029 | 300 | 0.4243 | 21.0689 |
| 0.436 | 1.2868 | 350 | 0.4051 | 19.8175 |
| 0.4189 | 1.4706 | 400 | 0.3933 | 19.4552 |
| 0.4044 | 1.6544 | 450 | 0.3844 | 19.2170 |
| 0.3686 | 1.8382 | 500 | 0.3781 | 17.7509 |
| 0.3758 | 2.0221 | 550 | 0.3734 | 17.7408 |
| 0.4074 | 2.2059 | 600 | 0.3697 | 17.5697 |
| 0.3681 | 2.3897 | 650 | 0.3669 | 17.4523 |
| 0.3604 | 2.5735 | 700 | 0.3650 | 17.3617 |
| 0.3876 | 2.7574 | 750 | 0.3640 | 17.3483 |
| 0.3905 | 2.9412 | 800 | 0.3635 | 17.3349 |
Framework versions
- PEFT 0.16.0
- Transformers 4.52.0
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.2