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smids_5x_beit_base_adamax_001_fold2

Image Classification
Transformers
PyTorch
beit
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
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README.md ADDED
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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_001_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: 0.826955074875208
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+ ---
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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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+
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+ # smids_5x_beit_base_adamax_001_fold2
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+
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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: 0.6098
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+ - Accuracy: 0.8270
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.001
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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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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 1.1062 | 1.0 | 375 | 1.0982 | 0.3344 |
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+ | 0.9246 | 2.0 | 750 | 0.8990 | 0.5008 |
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+ | 0.869 | 3.0 | 1125 | 0.8746 | 0.5258 |
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+ | 0.8743 | 4.0 | 1500 | 0.8284 | 0.5674 |
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+ | 0.7741 | 5.0 | 1875 | 0.7937 | 0.5940 |
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+ | 0.7654 | 6.0 | 2250 | 0.8614 | 0.5757 |
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+ | 0.7957 | 7.0 | 2625 | 0.7450 | 0.6273 |
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+ | 0.7361 | 8.0 | 3000 | 0.7601 | 0.6190 |
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+ | 0.7832 | 9.0 | 3375 | 0.7148 | 0.6473 |
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+ | 0.7176 | 10.0 | 3750 | 0.7112 | 0.6539 |
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+ | 0.7021 | 11.0 | 4125 | 0.6760 | 0.6672 |
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+ | 0.7391 | 12.0 | 4500 | 0.6756 | 0.6839 |
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+ | 0.6718 | 13.0 | 4875 | 0.6548 | 0.6955 |
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+ | 0.6958 | 14.0 | 5250 | 0.6500 | 0.7072 |
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+ | 0.5987 | 15.0 | 5625 | 0.6407 | 0.7072 |
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+ | 0.6067 | 16.0 | 6000 | 0.6268 | 0.7221 |
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+ | 0.6185 | 17.0 | 6375 | 0.5757 | 0.7554 |
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+ | 0.5734 | 18.0 | 6750 | 0.5844 | 0.7504 |
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+ | 0.5355 | 19.0 | 7125 | 0.5955 | 0.7354 |
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+ | 0.5827 | 20.0 | 7500 | 0.5704 | 0.7388 |
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+ | 0.5749 | 21.0 | 7875 | 0.5428 | 0.7804 |
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+ | 0.5089 | 22.0 | 8250 | 0.5221 | 0.7887 |
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+ | 0.5094 | 23.0 | 8625 | 0.5782 | 0.7671 |
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+ | 0.5429 | 24.0 | 9000 | 0.5089 | 0.7737 |
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+ | 0.4205 | 25.0 | 9375 | 0.5382 | 0.7687 |
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+ | 0.5532 | 26.0 | 9750 | 0.5416 | 0.7654 |
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+ | 0.5743 | 27.0 | 10125 | 0.5044 | 0.7854 |
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+ | 0.4757 | 28.0 | 10500 | 0.4923 | 0.7837 |
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+ | 0.4893 | 29.0 | 10875 | 0.5093 | 0.7953 |
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+ | 0.4472 | 30.0 | 11250 | 0.4972 | 0.8003 |
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+ | 0.4925 | 31.0 | 11625 | 0.4677 | 0.8003 |
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+ | 0.4327 | 32.0 | 12000 | 0.5055 | 0.8003 |
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+ | 0.3876 | 33.0 | 12375 | 0.5066 | 0.8070 |
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+ | 0.365 | 34.0 | 12750 | 0.5108 | 0.8003 |
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+ | 0.4195 | 35.0 | 13125 | 0.4907 | 0.8136 |
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+ | 0.3672 | 36.0 | 13500 | 0.5164 | 0.8170 |
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+ | 0.3426 | 37.0 | 13875 | 0.5029 | 0.8136 |
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+ | 0.3759 | 38.0 | 14250 | 0.4848 | 0.8220 |
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+ | 0.3673 | 39.0 | 14625 | 0.5029 | 0.7953 |
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+ | 0.3205 | 40.0 | 15000 | 0.4939 | 0.8253 |
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+ | 0.278 | 41.0 | 15375 | 0.4766 | 0.8203 |
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+ | 0.3125 | 42.0 | 15750 | 0.5477 | 0.8170 |
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+ | 0.2792 | 43.0 | 16125 | 0.5391 | 0.8253 |
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+ | 0.2594 | 44.0 | 16500 | 0.5619 | 0.8220 |
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+ | 0.2487 | 45.0 | 16875 | 0.5522 | 0.8153 |
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+ | 0.2997 | 46.0 | 17250 | 0.5706 | 0.8270 |
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+ | 0.2756 | 47.0 | 17625 | 0.5989 | 0.8220 |
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+ | 0.2505 | 48.0 | 18000 | 0.5806 | 0.8303 |
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+ | 0.2151 | 49.0 | 18375 | 0.6077 | 0.8286 |
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+ | 0.1705 | 50.0 | 18750 | 0.6098 | 0.8270 |
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+
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+
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+ ### Framework versions
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+
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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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