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drone_sy_tiny_t3 – AI Model by CSY1109 | AlphaNeural AI
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CSY1109
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drone_sy_tiny_t3
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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Model card
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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
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: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0002
33.4
100
0.2810
4.5455
0.0
66.8
200
0.3568
4.5455
0.0
100.0
300
0.3603
4.5455
0.0
133.4
400
0.3630
4.5455
0.0
166.8
500
0.3643
4.5455
Framework versions
Transformers 4.48.3
Pytorch 2.6.0+cu124
Datasets 3.2.0
Tokenizers 0.21.0