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--- |
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library_name: transformers |
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language: |
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- en |
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license: apache-2.0 |
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base_model: openai/whisper-small |
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tags: |
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- generated_from_trainer |
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metrics: |
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- wer |
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model-index: |
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- name: Drone test En - Siang Yi |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Drone test En - Siang Yi |
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the drone command test3 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6268 |
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- Wer: 8.3333 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- training_steps: 200 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:| |
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| 1.86 | 10.0 | 10 | 0.6997 | 25.0 | |
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| 0.0773 | 20.0 | 20 | 0.1492 | 16.6667 | |
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| 0.0062 | 30.0 | 30 | 0.5699 | 8.3333 | |
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| 0.0028 | 40.0 | 40 | 0.5715 | 8.3333 | |
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| 0.0006 | 50.0 | 50 | 0.5512 | 8.3333 | |
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| 0.0228 | 60.0 | 60 | 0.6065 | 8.3333 | |
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| 0.0 | 70.0 | 70 | 0.5899 | 8.3333 | |
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| 0.0001 | 80.0 | 80 | 0.6822 | 8.3333 | |
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| 0.0 | 90.0 | 90 | 0.6161 | 8.3333 | |
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| 0.0 | 100.0 | 100 | 0.6305 | 8.3333 | |
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| 0.0 | 110.0 | 110 | 0.6301 | 8.3333 | |
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| 0.0 | 120.0 | 120 | 0.6296 | 8.3333 | |
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| 0.0 | 130.0 | 130 | 0.6284 | 8.3333 | |
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| 0.0 | 140.0 | 140 | 0.6283 | 8.3333 | |
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| 0.0 | 150.0 | 150 | 0.6281 | 8.3333 | |
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| 0.0 | 160.0 | 160 | 0.6270 | 8.3333 | |
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| 0.0 | 170.0 | 170 | 0.6280 | 8.3333 | |
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| 0.0 | 180.0 | 180 | 0.6280 | 8.3333 | |
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| 0.0 | 190.0 | 190 | 0.6269 | 8.3333 | |
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| 0.0 | 200.0 | 200 | 0.6268 | 8.3333 | |
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### Framework versions |
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- Transformers 4.48.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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