Commit
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Parent(s):
5b296b1
End of training
Browse files- README.md +125 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: facebook/deit-base-patch16-224
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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metrics:
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- accuracy
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model-index:
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- name: smids_10x_deit_base_sgd_00001_fold5
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: imagefolder
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type: imagefolder
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config: default
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split: test
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.53
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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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# smids_10x_deit_base_sgd_00001_fold5
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This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0147
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- Accuracy: 0.53
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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: 1e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 50
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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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| 1.1118 | 1.0 | 750 | 1.1081 | 0.3483 |
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| 1.0989 | 2.0 | 1500 | 1.1045 | 0.3467 |
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| 1.098 | 3.0 | 2250 | 1.1011 | 0.3483 |
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| 1.0956 | 4.0 | 3000 | 1.0977 | 0.35 |
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| 1.0908 | 5.0 | 3750 | 1.0945 | 0.3533 |
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| 1.0728 | 6.0 | 4500 | 1.0914 | 0.36 |
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| 1.0863 | 7.0 | 5250 | 1.0883 | 0.3783 |
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| 1.0893 | 8.0 | 6000 | 1.0853 | 0.3833 |
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| 1.0669 | 9.0 | 6750 | 1.0824 | 0.3883 |
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| 1.0847 | 10.0 | 7500 | 1.0795 | 0.3933 |
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| 1.062 | 11.0 | 8250 | 1.0767 | 0.4033 |
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| 1.0612 | 12.0 | 9000 | 1.0739 | 0.4183 |
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| 1.0546 | 13.0 | 9750 | 1.0712 | 0.4267 |
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| 1.0486 | 14.0 | 10500 | 1.0685 | 0.43 |
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| 1.0488 | 15.0 | 11250 | 1.0659 | 0.4367 |
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| 1.0504 | 16.0 | 12000 | 1.0633 | 0.4367 |
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| 1.0424 | 17.0 | 12750 | 1.0607 | 0.4417 |
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| 1.0426 | 18.0 | 13500 | 1.0582 | 0.4533 |
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| 1.0273 | 19.0 | 14250 | 1.0557 | 0.4533 |
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| 1.0365 | 20.0 | 15000 | 1.0533 | 0.4633 |
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| 1.0042 | 21.0 | 15750 | 1.0509 | 0.4683 |
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| 1.0296 | 22.0 | 16500 | 1.0486 | 0.4717 |
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| 1.0417 | 23.0 | 17250 | 1.0462 | 0.475 |
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| 1.0189 | 24.0 | 18000 | 1.0440 | 0.4817 |
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| 1.0029 | 25.0 | 18750 | 1.0418 | 0.4833 |
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| 1.0163 | 26.0 | 19500 | 1.0396 | 0.4883 |
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| 1.0097 | 27.0 | 20250 | 1.0376 | 0.4867 |
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| 1.0284 | 28.0 | 21000 | 1.0356 | 0.49 |
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| 1.0024 | 29.0 | 21750 | 1.0337 | 0.4967 |
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| 1.0018 | 30.0 | 22500 | 1.0318 | 0.505 |
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| 1.0059 | 31.0 | 23250 | 1.0301 | 0.5083 |
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| 1.0064 | 32.0 | 24000 | 1.0284 | 0.5133 |
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| 1.0048 | 33.0 | 24750 | 1.0269 | 0.5133 |
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| 0.9972 | 34.0 | 25500 | 1.0254 | 0.5217 |
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| 0.9969 | 35.0 | 26250 | 1.0240 | 0.5217 |
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| 1.0105 | 36.0 | 27000 | 1.0228 | 0.5217 |
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| 0.9858 | 37.0 | 27750 | 1.0216 | 0.525 |
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| 1.0046 | 38.0 | 28500 | 1.0205 | 0.525 |
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| 0.9725 | 39.0 | 29250 | 1.0195 | 0.5267 |
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| 0.9836 | 40.0 | 30000 | 1.0186 | 0.5267 |
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| 0.9756 | 41.0 | 30750 | 1.0178 | 0.5283 |
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| 0.9954 | 42.0 | 31500 | 1.0171 | 0.5283 |
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| 1.0089 | 43.0 | 32250 | 1.0165 | 0.5283 |
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| 0.9937 | 44.0 | 33000 | 1.0160 | 0.5267 |
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| 0.9919 | 45.0 | 33750 | 1.0156 | 0.53 |
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| 0.9943 | 46.0 | 34500 | 1.0153 | 0.53 |
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| 0.9683 | 47.0 | 35250 | 1.0150 | 0.53 |
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| 0.9833 | 48.0 | 36000 | 1.0148 | 0.53 |
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| 0.9815 | 49.0 | 36750 | 1.0147 | 0.53 |
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| 0.9749 | 50.0 | 37500 | 1.0147 | 0.53 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.1.0+cu121
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- Datasets 2.12.0
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- Tokenizers 0.13.2
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pytorch_model.bin
CHANGED
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 343272234
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version https://git-lfs.github.com/spec/v1
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oid sha256:e2ee4155474d70043a8674263590e29e651c63e66d8943512bcebdaaa66fe37e
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size 343272234
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