End of training

README.md

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+---
+license: apache-2.0
+base_model: microsoft/beit-large-patch16-224-pt22k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: Psoriasis-500-100aug-224-beit-large
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7991266375545851
+---
+
+<!-- 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. -->
+
+# Psoriasis-500-100aug-224-beit-large
+
+This model is a fine-tuned version of [microsoft/beit-large-patch16-224-pt22k](https://huggingface.co/microsoft/beit-large-patch16-224-pt22k) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1823
+- Accuracy: 0.7991
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.8236        | 0.9973 | 92   | 1.1536          | 0.6358   |
+| 0.4282        | 1.9946 | 184  | 0.8848          | 0.7389   |
+| 0.2305        | 2.9919 | 276  | 0.9811          | 0.7258   |
+| 0.1206        | 4.0    | 369  | 0.8858          | 0.7808   |
+| 0.1107        | 4.9973 | 461  | 1.1129          | 0.7397   |
+| 0.0319        | 5.9946 | 553  | 1.1625          | 0.7703   |
+| 0.0073        | 6.9919 | 645  | 1.1938          | 0.7895   |
+| 0.0078        | 8.0    | 738  | 1.3031          | 0.7790   |
+| 0.0013        | 8.9973 | 830  | 1.2117          | 0.7974   |
+| 0.002         | 9.9729 | 920  | 1.1823          | 0.7991   |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.1.2
+- Datasets 2.19.2
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "microsoft/beit-large-patch16-224-pt22k",
+  "add_fpn": false,
+  "architectures": [
+    "BeitForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "auxiliary_channels": 256,
+  "auxiliary_concat_input": false,
+  "auxiliary_loss_weight": 0.4,
+  "auxiliary_num_convs": 1,
+  "drop_path_rate": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "Abnormal",
+    "1": "Erythrodermic",
+    "2": "Guttate",
+    "3": "Inverse",
+    "4": "Nail",
+    "5": "Normal",
+    "6": "Not Define",
+    "7": "Palm Soles",
+    "8": "Plaque",
+    "9": "Psoriatic Arthritis",
+    "10": "Pustular",
+    "11": "Scalp"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "Abnormal": 0,
+    "Erythrodermic": 1,
+    "Guttate": 2,
+    "Inverse": 3,
+    "Nail": 4,
+    "Normal": 5,
+    "Not Define": 6,
+    "Palm Soles": 7,
+    "Plaque": 8,
+    "Psoriatic Arthritis": 9,
+    "Pustular": 10,
+    "Scalp": 11
+  },
+  "layer_norm_eps": 1e-12,
+  "layer_scale_init_value": 0.1,
+  "model_type": "beit",
+  "num_attention_heads": 16,
+  "num_channels": 3,
+  "num_hidden_layers": 24,
+  "out_features": [
+    "stage24"
+  ],
+  "out_indices": [
+    24
+  ],
+  "patch_size": 16,
+  "pool_scales": [
+    1,
+    2,
+    3,
+    6
+  ],
+  "problem_type": "single_label_classification",
+  "reshape_hidden_states": true,
+  "semantic_loss_ignore_index": 255,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4",
+    "stage5",
+    "stage6",
+    "stage7",
+    "stage8",
+    "stage9",
+    "stage10",
+    "stage11",
+    "stage12",
+    "stage13",
+    "stage14",
+    "stage15",
+    "stage16",
+    "stage17",
+    "stage18",
+    "stage19",
+    "stage20",
+    "stage21",
+    "stage22",
+    "stage23",
+    "stage24"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "use_absolute_position_embeddings": false,
+  "use_auxiliary_head": true,
+  "use_mask_token": true,
+  "use_mean_pooling": true,
+  "use_relative_position_bias": false,
+  "use_shared_relative_position_bias": true,
+  "vocab_size": 8192
+}

model.safetensors

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+size 1212647096

preprocessor_config.json

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

runs/Jun28_04-53-53_163828ad6818/events.out.tfevents.1719550439.163828ad6818.34.2

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+size 29266

training_args.bin

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