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hushem_1x_deit_base_rms_0001_fold4

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  1. README.md +125 -0
  2. model.safetensors +1 -1
  3. runs/Nov16_13-23-51_a16b87a70722/events.out.tfevents.1700141032.a16b87a70722.1550.8 +2 -2
README.md ADDED
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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: hushem_1x_deit_base_rms_0001_fold4
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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: 0.8095238095238095
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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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+ # hushem_1x_deit_base_rms_0001_fold4
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+
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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: 0.7145
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+ - Accuracy: 0.8095
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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: 0.0001
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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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+
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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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+ | No log | 1.0 | 6 | 1.4829 | 0.2619 |
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+ | 1.8031 | 2.0 | 12 | 2.0915 | 0.2381 |
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+ | 1.8031 | 3.0 | 18 | 1.4809 | 0.2619 |
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+ | 1.5525 | 4.0 | 24 | 1.5704 | 0.2381 |
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+ | 1.3693 | 5.0 | 30 | 1.0775 | 0.5476 |
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+ | 1.3693 | 6.0 | 36 | 1.1325 | 0.7143 |
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+ | 1.2011 | 7.0 | 42 | 2.3370 | 0.2381 |
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+ | 1.2011 | 8.0 | 48 | 0.7067 | 0.6667 |
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+ | 0.8987 | 9.0 | 54 | 0.5307 | 0.7619 |
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+ | 0.4373 | 10.0 | 60 | 1.1564 | 0.6429 |
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+ | 0.4373 | 11.0 | 66 | 0.6814 | 0.7619 |
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+ | 0.23 | 12.0 | 72 | 0.7840 | 0.6905 |
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+ | 0.23 | 13.0 | 78 | 1.0320 | 0.6429 |
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+ | 0.0568 | 14.0 | 84 | 1.3932 | 0.6667 |
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+ | 0.0426 | 15.0 | 90 | 0.6994 | 0.7619 |
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+ | 0.0426 | 16.0 | 96 | 0.6428 | 0.8095 |
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+ | 0.0009 | 17.0 | 102 | 0.6585 | 0.8095 |
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+ | 0.0009 | 18.0 | 108 | 0.6712 | 0.8095 |
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+ | 0.0005 | 19.0 | 114 | 0.6782 | 0.8095 |
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+ | 0.0003 | 20.0 | 120 | 0.6859 | 0.8095 |
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+ | 0.0003 | 21.0 | 126 | 0.6888 | 0.8095 |
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+ | 0.0003 | 22.0 | 132 | 0.6932 | 0.8095 |
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+ | 0.0003 | 23.0 | 138 | 0.6960 | 0.8095 |
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+ | 0.0002 | 24.0 | 144 | 0.7001 | 0.8095 |
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+ | 0.0002 | 25.0 | 150 | 0.7019 | 0.8095 |
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+ | 0.0002 | 26.0 | 156 | 0.7021 | 0.8095 |
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+ | 0.0002 | 27.0 | 162 | 0.7042 | 0.8095 |
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+ | 0.0002 | 28.0 | 168 | 0.7068 | 0.8095 |
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+ | 0.0002 | 29.0 | 174 | 0.7077 | 0.8095 |
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+ | 0.0002 | 30.0 | 180 | 0.7092 | 0.8095 |
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+ | 0.0002 | 31.0 | 186 | 0.7093 | 0.8095 |
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+ | 0.0002 | 32.0 | 192 | 0.7100 | 0.8095 |
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+ | 0.0002 | 33.0 | 198 | 0.7106 | 0.8095 |
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+ | 0.0001 | 34.0 | 204 | 0.7108 | 0.8095 |
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+ | 0.0001 | 35.0 | 210 | 0.7121 | 0.8095 |
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+ | 0.0001 | 36.0 | 216 | 0.7125 | 0.8095 |
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+ | 0.0001 | 37.0 | 222 | 0.7133 | 0.8095 |
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+ | 0.0001 | 38.0 | 228 | 0.7137 | 0.8095 |
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+ | 0.0001 | 39.0 | 234 | 0.7141 | 0.8095 |
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+ | 0.0001 | 40.0 | 240 | 0.7143 | 0.8095 |
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+ | 0.0001 | 41.0 | 246 | 0.7145 | 0.8095 |
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+ | 0.0001 | 42.0 | 252 | 0.7145 | 0.8095 |
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+ | 0.0001 | 43.0 | 258 | 0.7145 | 0.8095 |
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+ | 0.0001 | 44.0 | 264 | 0.7145 | 0.8095 |
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+ | 0.0001 | 45.0 | 270 | 0.7145 | 0.8095 |
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+ | 0.0001 | 46.0 | 276 | 0.7145 | 0.8095 |
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+ | 0.0001 | 47.0 | 282 | 0.7145 | 0.8095 |
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+ | 0.0001 | 48.0 | 288 | 0.7145 | 0.8095 |
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+ | 0.0001 | 49.0 | 294 | 0.7145 | 0.8095 |
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+ | 0.0001 | 50.0 | 300 | 0.7145 | 0.8095 |
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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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