metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- abdouaziz/pulaar_speech_solited
metrics:
- wer
model-index:
- name: fpulaar_v3
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: abdouaziz/pulaar_speech_solited
type: abdouaziz/pulaar_speech_solited
metrics:
- name: Wer
type: wer
value: 0.38461538461538464
fpulaar_v3
This model is a fine-tuned version of openai/whisper-small on the abdouaziz/pulaar_speech_solited dataset. It achieves the following results on the evaluation set:
- Loss: 1.2722
- Wer: 0.3846
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: 4e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use 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: 50
- training_steps: 48000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3089 | 11.3636 | 500 | 0.9118 | 0.6109 |
| 0.0144 | 22.7273 | 1000 | 0.9989 | 0.4202 |
| 0.0084 | 34.0909 | 1500 | 1.0294 | 0.4198 |
| 0.0084 | 45.4545 | 2000 | 1.0798 | 0.4304 |
| 0.0063 | 56.8182 | 2500 | 1.0848 | 0.4178 |
| 0.0066 | 68.1818 | 3000 | 1.1000 | 0.4083 |
| 0.0063 | 79.5455 | 3500 | 1.1406 | 0.4116 |
| 0.0041 | 90.9091 | 4000 | 1.1605 | 0.4092 |
| 0.0003 | 102.2727 | 4500 | 1.1999 | 0.4010 |
| 0.0002 | 113.6364 | 5000 | 1.2183 | 0.3965 |
| 0.0002 | 125.0 | 5500 | 1.2352 | 0.3944 |
| 0.0002 | 136.3636 | 6000 | 1.2441 | 0.3903 |
| 0.0001 | 147.7273 | 6500 | 1.2607 | 0.3912 |
| 0.0001 | 159.0909 | 7000 | 1.2722 | 0.3846 |
| 0.0162 | 170.4545 | 7500 | 1.2051 | 0.4497 |
| 0.0107 | 181.8182 | 8000 | 1.1968 | 0.4296 |
| 0.002 | 193.1818 | 8500 | 1.1994 | 0.4173 |
Framework versions
- Transformers 4.46.0
- Pytorch 2.7.0+cu126
- Datasets 3.0.0
- Tokenizers 0.20.3