metadata
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
datasets:
- audiofolder
metrics:
- wer
base_model: openai/whisper-tiny
model-index:
- name: lora-whisper-tiny
results: []
lora-whisper-tiny
This model is a fine-tuned version of openai/whisper-tiny on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.1131
- Wer: 40.8556
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.8796 | 2.7 | 200 | 1.8730 | 46.8159 |
| 1.5505 | 5.41 | 400 | 1.5270 | 44.5912 |
| 1.2514 | 8.11 | 600 | 1.2960 | 44.1416 |
| 1.1319 | 10.81 | 800 | 1.1753 | 42.2831 |
| 1.1388 | 13.51 | 1000 | 1.1591 | 42.4407 |
| 1.1174 | 16.22 | 1200 | 1.1487 | 43.4789 |
| 1.1255 | 18.92 | 1400 | 1.1414 | 43.0061 |
| 1.102 | 21.62 | 1600 | 1.1358 | 42.5519 |
| 1.0848 | 24.32 | 1800 | 1.1310 | 42.8949 |
| 1.0912 | 27.03 | 2000 | 1.1272 | 41.1337 |
| 1.0894 | 29.73 | 2200 | 1.1240 | 41.6667 |
| 1.0697 | 32.43 | 2400 | 1.1216 | 42.5426 |
| 1.064 | 35.14 | 2600 | 1.1193 | 42.1348 |
| 1.0752 | 37.84 | 2800 | 1.1175 | 41.7825 |
| 1.0983 | 40.54 | 3000 | 1.1161 | 41.7037 |
| 1.0948 | 43.24 | 3200 | 1.1150 | 41.0641 |
| 1.0319 | 45.95 | 3400 | 1.1142 | 40.9807 |
| 1.0394 | 48.65 | 3600 | 1.1136 | 41.4303 |
| 1.0602 | 51.35 | 3800 | 1.1132 | 40.8695 |
| 1.0139 | 54.05 | 4000 | 1.1131 | 40.8556 |
Framework versions
- PEFT 0.10.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2