| --- |
| 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: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # lora-whisper-tiny |
|
|
| This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/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 |
