hkivancoral
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End of training
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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: hushem_1x_beit_base_rms_0001_fold3
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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: 0.5116279069767442
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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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# hushem_1x_beit_base_rms_0001_fold3
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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: 3.2060
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- Accuracy: 0.5116
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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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| No log | 1.0 | 6 | 1.4345 | 0.2326 |
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| 2.0035 | 2.0 | 12 | 1.4013 | 0.2558 |
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| 2.0035 | 3.0 | 18 | 1.4133 | 0.2558 |
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| 1.4085 | 4.0 | 24 | 1.4118 | 0.2558 |
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| 1.3752 | 5.0 | 30 | 1.3892 | 0.4419 |
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| 1.3752 | 6.0 | 36 | 1.3795 | 0.2791 |
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| 1.3345 | 7.0 | 42 | 1.3859 | 0.3256 |
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| 1.3345 | 8.0 | 48 | 1.3535 | 0.3023 |
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| 1.2957 | 9.0 | 54 | 1.3373 | 0.4419 |
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| 1.2266 | 10.0 | 60 | 1.3000 | 0.4651 |
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| 1.2266 | 11.0 | 66 | 1.2541 | 0.4651 |
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| 1.2119 | 12.0 | 72 | 1.3081 | 0.3023 |
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| 1.2119 | 13.0 | 78 | 1.3255 | 0.4186 |
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| 1.1642 | 14.0 | 84 | 1.2598 | 0.4419 |
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| 1.0863 | 15.0 | 90 | 1.3634 | 0.4651 |
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| 1.0863 | 16.0 | 96 | 1.2765 | 0.4419 |
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| 1.0739 | 17.0 | 102 | 1.2557 | 0.4651 |
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| 1.0739 | 18.0 | 108 | 1.3482 | 0.4651 |
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| 0.9189 | 19.0 | 114 | 1.2441 | 0.5814 |
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| 0.9333 | 20.0 | 120 | 1.3137 | 0.5116 |
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| 0.9333 | 21.0 | 126 | 1.4928 | 0.5116 |
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| 0.7984 | 22.0 | 132 | 1.4587 | 0.4419 |
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| 0.7984 | 23.0 | 138 | 1.4263 | 0.4884 |
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| 0.7474 | 24.0 | 144 | 1.3937 | 0.5116 |
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| 0.6261 | 25.0 | 150 | 1.7138 | 0.4651 |
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| 0.6261 | 26.0 | 156 | 1.9139 | 0.3488 |
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| 0.6149 | 27.0 | 162 | 2.2211 | 0.4419 |
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| 0.6149 | 28.0 | 168 | 2.6636 | 0.3953 |
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| 0.5568 | 29.0 | 174 | 2.0456 | 0.4419 |
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| 0.5749 | 30.0 | 180 | 2.1341 | 0.3488 |
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| 0.5749 | 31.0 | 186 | 2.6940 | 0.4651 |
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| 0.5955 | 32.0 | 192 | 2.3824 | 0.4419 |
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| 0.5955 | 33.0 | 198 | 2.3420 | 0.4419 |
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| 0.4884 | 34.0 | 204 | 2.5519 | 0.5116 |
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| 0.4591 | 35.0 | 210 | 2.4344 | 0.4186 |
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| 0.4591 | 36.0 | 216 | 2.3412 | 0.5116 |
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| 0.3989 | 37.0 | 222 | 2.6657 | 0.5116 |
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| 0.3989 | 38.0 | 228 | 3.0833 | 0.5116 |
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| 0.2794 | 39.0 | 234 | 2.9344 | 0.5349 |
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| 0.252 | 40.0 | 240 | 3.0820 | 0.5349 |
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| 0.252 | 41.0 | 246 | 3.2011 | 0.5116 |
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| 0.2307 | 42.0 | 252 | 3.2060 | 0.5116 |
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| 0.2307 | 43.0 | 258 | 3.2060 | 0.5116 |
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| 0.2027 | 44.0 | 264 | 3.2060 | 0.5116 |
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| 0.2023 | 45.0 | 270 | 3.2060 | 0.5116 |
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| 0.2023 | 46.0 | 276 | 3.2060 | 0.5116 |
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| 0.2295 | 47.0 | 282 | 3.2060 | 0.5116 |
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| 0.2295 | 48.0 | 288 | 3.2060 | 0.5116 |
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| 0.216 | 49.0 | 294 | 3.2060 | 0.5116 |
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| 0.2238 | 50.0 | 300 | 3.2060 | 0.5116 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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runs/Nov25_21-49-27_86b6a4671e23/events.out.tfevents.1700948968.86b6a4671e23.909.17
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