End of training
Browse files- README.md +78 -0
- model.safetensors +1 -1
README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: MobileNetV2-KD-VGGFace
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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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# MobileNetV2-KD-VGGFace
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4919
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- Accuracy: 0.7836
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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: 5e-05
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- train_batch_size: 24
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- eval_batch_size: 24
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 20
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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 | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 2.7506 | 1.0 | 1667 | 2.2449 | 0.0726 |
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| 2.105 | 2.0 | 3334 | 1.6904 | 0.2493 |
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| 1.6544 | 3.0 | 5001 | 1.3206 | 0.4043 |
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| 1.3357 | 4.0 | 6668 | 1.0675 | 0.5078 |
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| 1.1104 | 5.0 | 8335 | 0.9302 | 0.5582 |
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| 0.9287 | 6.0 | 10002 | 0.8738 | 0.5972 |
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| 0.7899 | 7.0 | 11669 | 0.7972 | 0.6388 |
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| 0.6738 | 8.0 | 13336 | 0.7074 | 0.6822 |
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| 0.5803 | 9.0 | 15003 | 0.6630 | 0.7009 |
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| 0.5038 | 10.0 | 16670 | 0.5855 | 0.735 |
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| 0.4366 | 11.0 | 18337 | 0.5761 | 0.7415 |
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| 0.3762 | 12.0 | 20004 | 0.5642 | 0.7496 |
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| 0.3321 | 13.0 | 21671 | 0.5373 | 0.7652 |
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| 0.2916 | 14.0 | 23338 | 0.5314 | 0.7625 |
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| 0.2615 | 15.0 | 25005 | 0.6206 | 0.7281 |
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| 0.2357 | 16.0 | 26672 | 0.5437 | 0.763 |
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| 0.2153 | 17.0 | 28339 | 0.5335 | 0.763 |
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| 0.1986 | 18.0 | 30006 | 0.4892 | 0.7869 |
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| 0.1866 | 19.0 | 31673 | 0.5368 | 0.7645 |
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| 0.1765 | 20.0 | 33340 | 0.4919 | 0.7836 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+rocm6.0
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 55857748
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version https://git-lfs.github.com/spec/v1
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size 55857748
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