CSY1109/drone_sy_tiny_t3

<!-- 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. -->

Drone test En - Siang Yi

This model is a fine-tuned version of openai/whisper-tiny on the drone command tsv3 dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3643
• —Wer: 4.5455

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: 3e-05
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 8
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.2
• —training_steps: 500
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.48.3
• —Pytorch 2.6.0+cu124
• —Datasets 3.2.0
• —Tokenizers 0.21.0