metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: openai/whisper-small
datasets:
- common_voice_11_0
metrics:
- wer
model-index:
- name: whisper_small.hi_lora
results: []
whisper_small.hi_lora
This model is a fine-tuned version of openai/whisper-small on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4588
- Wer: 52.1713
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4177 | 2.44 | 1000 | 0.5055 | 59.4430 |
| 0.3887 | 4.89 | 2000 | 0.4759 | 52.9544 |
| 0.3595 | 7.33 | 3000 | 0.4660 | 52.4634 |
| 0.3643 | 9.78 | 4000 | 0.4598 | 52.2221 |
| 0.3556 | 12.22 | 5000 | 0.4588 | 52.1713 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2