metadata
library_name: transformers
language:
- en
license: apache-2.0
base_model: openai/whisper-tiny
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Drone test En - Siang Yi
results: []
Drone test En - Siang Yi
This model is a fine-tuned version of openai/whisper-tiny on the drone command tsv5V2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1805
- Wer: 8.1081
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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_ratio: 0.2
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0025 | 25.0 | 100 | 0.2638 | 13.5135 |
| 0.0001 | 50.0 | 200 | 0.2306 | 8.1081 |
| 0.0 | 75.0 | 300 | 0.2026 | 8.1081 |
| 0.0 | 100.0 | 400 | 0.1944 | 8.1081 |
| 0.0 | 125.0 | 500 | 0.1895 | 8.1081 |
| 0.0 | 150.0 | 600 | 0.1861 | 8.1081 |
| 0.0 | 175.0 | 700 | 0.1835 | 8.1081 |
| 0.0 | 200.0 | 800 | 0.1817 | 8.1081 |
| 0.0 | 225.0 | 900 | 0.1807 | 8.1081 |
| 0.0 | 250.0 | 1000 | 0.1805 | 8.1081 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0