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Browse files- README.md +75 -0
- model.safetensors +1 -1
README.md
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---
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license: other
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base_model: apple/mobilevit-small
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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: quickdraw-MobileViT-small-a
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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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# quickdraw-MobileViT-small-a
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This model is a fine-tuned version of [apple/mobilevit-small](https://huggingface.co/apple/mobilevit-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9705
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- Accuracy: 0.7556
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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: 0.0008
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- train_batch_size: 512
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- eval_batch_size: 512
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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: cosine
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- lr_scheduler_warmup_steps: 5000
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- num_epochs: 8
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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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| 1.464 | 0.5688 | 5000 | 1.4063 | 0.6493 |
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| 1.2318 | 1.1377 | 10000 | 1.2154 | 0.6937 |
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| 1.1699 | 1.7065 | 15000 | 1.1495 | 0.7096 |
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| 1.1018 | 2.2753 | 20000 | 1.1081 | 0.7190 |
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| 1.0837 | 2.8441 | 25000 | 1.0871 | 0.7240 |
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| 1.0343 | 3.4130 | 30000 | 1.0550 | 0.7326 |
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| 1.0198 | 3.9818 | 35000 | 1.0281 | 0.739 |
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| 0.9795 | 4.5506 | 40000 | 1.0125 | 0.7435 |
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| 0.9339 | 5.1195 | 45000 | 0.9964 | 0.7475 |
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| 0.9292 | 5.6883 | 50000 | 0.9843 | 0.7510 |
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| 0.8975 | 6.2571 | 55000 | 0.9795 | 0.7528 |
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| 0.8957 | 6.8259 | 60000 | 0.9723 | 0.7548 |
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| 0.8721 | 7.3948 | 65000 | 0.9716 | 0.7555 |
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| 0.8725 | 7.9636 | 70000 | 0.9705 | 0.7556 |
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### Framework versions
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- Transformers 4.41.0
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- Pytorch 2.2.1
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- Datasets 2.19.1
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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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-
oid sha256:
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size 20730036
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version https://git-lfs.github.com/spec/v1
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oid sha256:7626c9d5d6e705740d5ad72cc27c60dcf78ea6ccbd2d00f4474a063ad2b17b85
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size 20730036
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