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smids_1x_beit_base_rms_00001_fold1

Image Classification
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  1. README.md +125 -0
  2. model.safetensors +1 -1
  3. runs/Dec01_02-02-10_1242d03470a0/events.out.tfevents.1701396131.1242d03470a0.3093.1 +2 -2
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_1x_beit_base_rms_00001_fold1
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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: 0.8964941569282137
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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_1x_beit_base_rms_00001_fold1
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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: 0.7081
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+ - Accuracy: 0.8965
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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: 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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+
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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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+ | 0.3415 | 1.0 | 76 | 0.3600 | 0.8531 |
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+ | 0.1821 | 2.0 | 152 | 0.2813 | 0.8865 |
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+ | 0.1106 | 3.0 | 228 | 0.2915 | 0.8965 |
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+ | 0.0837 | 4.0 | 304 | 0.4355 | 0.8748 |
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+ | 0.0461 | 5.0 | 380 | 0.3524 | 0.8831 |
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+ | 0.0314 | 6.0 | 456 | 0.3471 | 0.9065 |
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+ | 0.052 | 7.0 | 532 | 0.3906 | 0.9032 |
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+ | 0.0094 | 8.0 | 608 | 0.4902 | 0.8998 |
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+ | 0.0397 | 9.0 | 684 | 0.5074 | 0.8848 |
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+ | 0.0068 | 10.0 | 760 | 0.5396 | 0.8965 |
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+ | 0.0009 | 11.0 | 836 | 0.4910 | 0.9032 |
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+ | 0.0007 | 12.0 | 912 | 0.5441 | 0.8982 |
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+ | 0.0176 | 13.0 | 988 | 0.5729 | 0.8965 |
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+ | 0.008 | 14.0 | 1064 | 0.5831 | 0.8965 |
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+ | 0.0023 | 15.0 | 1140 | 0.6581 | 0.8982 |
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+ | 0.0112 | 16.0 | 1216 | 0.6373 | 0.9048 |
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+ | 0.0122 | 17.0 | 1292 | 0.6091 | 0.8982 |
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+ | 0.0218 | 18.0 | 1368 | 0.7005 | 0.8965 |
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+ | 0.0052 | 19.0 | 1444 | 0.6533 | 0.8998 |
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+ | 0.0143 | 20.0 | 1520 | 0.5987 | 0.9048 |
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+ | 0.0047 | 21.0 | 1596 | 0.6407 | 0.8982 |
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+ | 0.005 | 22.0 | 1672 | 0.7577 | 0.8898 |
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+ | 0.0133 | 23.0 | 1748 | 0.7568 | 0.8848 |
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+ | 0.0064 | 24.0 | 1824 | 0.6963 | 0.8915 |
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+ | 0.0056 | 25.0 | 1900 | 0.6832 | 0.8982 |
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+ | 0.0033 | 26.0 | 1976 | 0.6578 | 0.8982 |
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+ | 0.0048 | 27.0 | 2052 | 0.6821 | 0.9032 |
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+ | 0.0003 | 28.0 | 2128 | 0.6751 | 0.8998 |
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+ | 0.0002 | 29.0 | 2204 | 0.6826 | 0.8998 |
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+ | 0.0054 | 30.0 | 2280 | 0.7208 | 0.8965 |
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+ | 0.0234 | 31.0 | 2356 | 0.7169 | 0.8915 |
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+ | 0.0066 | 32.0 | 2432 | 0.7161 | 0.8982 |
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+ | 0.0078 | 33.0 | 2508 | 0.6895 | 0.8982 |
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+ | 0.004 | 34.0 | 2584 | 0.7616 | 0.8982 |
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+ | 0.0117 | 35.0 | 2660 | 0.7211 | 0.9032 |
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+ | 0.0 | 36.0 | 2736 | 0.6772 | 0.8982 |
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+ | 0.0027 | 37.0 | 2812 | 0.6751 | 0.8998 |
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+ | 0.0023 | 38.0 | 2888 | 0.7465 | 0.9082 |
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+ | 0.0025 | 39.0 | 2964 | 0.6434 | 0.9132 |
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+ | 0.0043 | 40.0 | 3040 | 0.6803 | 0.9032 |
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+ | 0.005 | 41.0 | 3116 | 0.6970 | 0.8982 |
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+ | 0.0 | 42.0 | 3192 | 0.6953 | 0.8998 |
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+ | 0.0002 | 43.0 | 3268 | 0.6864 | 0.8982 |
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+ | 0.0001 | 44.0 | 3344 | 0.6955 | 0.9015 |
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+ | 0.0058 | 45.0 | 3420 | 0.7259 | 0.8948 |
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+ | 0.0 | 46.0 | 3496 | 0.7126 | 0.9032 |
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+ | 0.0044 | 47.0 | 3572 | 0.7081 | 0.8965 |
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+ | 0.0032 | 48.0 | 3648 | 0.7104 | 0.8965 |
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+ | 0.0023 | 49.0 | 3724 | 0.7077 | 0.8965 |
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+ | 0.0057 | 50.0 | 3800 | 0.7081 | 0.8965 |
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+
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+
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+ ### Framework versions
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+
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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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