Training in progress, epoch 1

README.md

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+---
+license: apache-2.0
+base_model: facebook/deit-base-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+- recall
+- f1
+- precision
+model-index:
+- name: deit-base-patch16-224-finetuned-ind-4-imbalanced-aadhaarmask-3839
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9479166666666666
+    - name: Recall
+      type: recall
+      value: 0.9479166666666666
+    - name: F1
+      type: f1
+      value: 0.9464668525772705
+    - name: Precision
+      type: precision
+      value: 0.9472181024490807
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# deit-base-patch16-224-finetuned-ind-4-imbalanced-aadhaarmask-3839
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.1444
+- Accuracy: 0.9479
+- Recall: 0.9479
+- F1: 0.9465
+- Precision: 0.9472
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Recall | F1     | Precision |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
+| 0.2268        | 1.0   | 96   | 0.2805          | 0.8919   | 0.8919 | 0.8753 | 0.8798    |
+| 0.2356        | 2.0   | 192  | 0.2842          | 0.9023   | 0.9023 | 0.8950 | 0.8967    |
+| 0.1597        | 3.0   | 288  | 0.2120          | 0.9219   | 0.9219 | 0.9116 | 0.9211    |
+| 0.1349        | 4.0   | 384  | 0.2449          | 0.9206   | 0.9206 | 0.9146 | 0.9193    |
+| 0.1647        | 5.0   | 480  | 0.2226          | 0.9167   | 0.9167 | 0.9129 | 0.9121    |
+| 0.1117        | 6.0   | 576  | 0.1599          | 0.9453   | 0.9453 | 0.9415 | 0.9434    |
+| 0.1232        | 7.0   | 672  | 0.1698          | 0.9492   | 0.9492 | 0.9477 | 0.9485    |
+| 0.1317        | 8.0   | 768  | 0.1624          | 0.9388   | 0.9388 | 0.9365 | 0.9368    |
+| 0.1018        | 9.0   | 864  | 0.1648          | 0.9388   | 0.9388 | 0.9360 | 0.9355    |
+| 0.0828        | 10.0  | 960  | 0.1597          | 0.9453   | 0.9453 | 0.9435 | 0.9454    |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "facebook/deit-base-patch16-224",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "AadhaarBackMasked",
+    "1": "AadhaarFrontMasked",
+    "2": "AadhaarRegularMasked"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "AadhaarBackMasked": "0",
+    "AadhaarFrontMasked": "1",
+    "AadhaarRegularMasked": "2"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.1"
+}

model.safetensors

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preprocessor_config.json

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+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

runs/Apr24_07-52-12_3ec0cf01dc6a/events.out.tfevents.1713945142.3ec0cf01dc6a.294.0

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training_args.bin

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