hkivancoral
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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: microsoft/beit-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_5x_beit_base_adamax_0001_fold2
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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: 0.9068219633943427
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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_5x_beit_base_adamax_0001_fold2
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This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-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: 1.0996
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- Accuracy: 0.9068
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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: 0.0001
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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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| 0.3388 | 1.0 | 375 | 0.2592 | 0.8918 |
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| 0.2336 | 2.0 | 750 | 0.6135 | 0.8403 |
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| 0.171 | 3.0 | 1125 | 0.4021 | 0.8636 |
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| 0.1223 | 4.0 | 1500 | 0.5420 | 0.8769 |
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| 0.1021 | 5.0 | 1875 | 0.4050 | 0.9018 |
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| 0.1121 | 6.0 | 2250 | 0.4217 | 0.8952 |
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| 0.1055 | 7.0 | 2625 | 0.5917 | 0.8785 |
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| 0.0936 | 8.0 | 3000 | 0.5515 | 0.8902 |
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| 0.0292 | 9.0 | 3375 | 0.5916 | 0.8952 |
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| 0.0288 | 10.0 | 3750 | 0.4755 | 0.9002 |
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| 0.0249 | 11.0 | 4125 | 0.6337 | 0.8702 |
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| 0.0449 | 12.0 | 4500 | 0.5405 | 0.8918 |
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| 0.0538 | 13.0 | 4875 | 0.7447 | 0.8769 |
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| 0.0351 | 14.0 | 5250 | 0.7235 | 0.8852 |
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| 0.0643 | 15.0 | 5625 | 0.8669 | 0.8686 |
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| 0.0207 | 16.0 | 6000 | 0.8090 | 0.8752 |
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| 0.0143 | 17.0 | 6375 | 0.7492 | 0.8802 |
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| 0.0274 | 18.0 | 6750 | 0.6970 | 0.8852 |
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| 0.033 | 19.0 | 7125 | 0.6368 | 0.8819 |
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| 0.0159 | 20.0 | 7500 | 0.6552 | 0.8735 |
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| 0.0363 | 21.0 | 7875 | 0.6430 | 0.8819 |
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| 0.0001 | 22.0 | 8250 | 0.7685 | 0.8885 |
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| 0.0004 | 23.0 | 8625 | 0.8828 | 0.8735 |
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| 0.0808 | 24.0 | 9000 | 0.5316 | 0.8918 |
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| 0.0051 | 25.0 | 9375 | 0.9086 | 0.8769 |
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| 0.0009 | 26.0 | 9750 | 0.7387 | 0.8835 |
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| 0.014 | 27.0 | 10125 | 0.7630 | 0.9035 |
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| 0.0182 | 28.0 | 10500 | 0.6195 | 0.9035 |
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| 0.0001 | 29.0 | 10875 | 0.8510 | 0.8952 |
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| 0.0216 | 30.0 | 11250 | 0.8683 | 0.8785 |
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| 0.0043 | 31.0 | 11625 | 0.7909 | 0.8985 |
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| 0.0064 | 32.0 | 12000 | 0.9052 | 0.8902 |
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| 0.0153 | 33.0 | 12375 | 0.8789 | 0.8968 |
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| 0.0001 | 34.0 | 12750 | 0.8661 | 0.8935 |
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| 0.0 | 35.0 | 13125 | 0.8999 | 0.8885 |
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| 0.0 | 36.0 | 13500 | 1.0043 | 0.8918 |
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| 0.0001 | 37.0 | 13875 | 0.9274 | 0.8968 |
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| 0.0113 | 38.0 | 14250 | 0.8785 | 0.9052 |
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| 0.0 | 39.0 | 14625 | 0.9514 | 0.9018 |
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| 0.0025 | 40.0 | 15000 | 1.0212 | 0.9052 |
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| 0.0 | 41.0 | 15375 | 0.9947 | 0.8952 |
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| 0.0027 | 42.0 | 15750 | 0.9897 | 0.9018 |
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| 0.0024 | 43.0 | 16125 | 0.9906 | 0.9085 |
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| 0.0024 | 44.0 | 16500 | 1.0802 | 0.8952 |
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| 0.0028 | 45.0 | 16875 | 1.0813 | 0.8985 |
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| 0.0 | 46.0 | 17250 | 1.0748 | 0.8985 |
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| 0.0059 | 47.0 | 17625 | 1.0853 | 0.9052 |
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| 0.0 | 48.0 | 18000 | 1.1050 | 0.9068 |
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| 0.0036 | 49.0 | 18375 | 1.1002 | 0.9052 |
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| 0.0022 | 50.0 | 18750 | 1.0996 | 0.9068 |
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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 343133766
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version https://git-lfs.github.com/spec/v1
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oid sha256:7f7a1f483d116040be12a7ec52e77002b4f04f4d1ac7471540a4dbbd633be781
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size 343133766
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