End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/dinov2-base
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+- f1
+model-index:
+- name: dinov2-base-finetuned-Leukemia
+  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: 1.0
+    - name: F1
+      type: f1
+      value: 1.0
+---
+
+<!-- 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. -->
+
+# dinov2-base-finetuned-Leukemia
+
+This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0000
+- Accuracy: 1.0
+- F1: 1.0
+
+## 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: 1e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- 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 | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
+| 0.0541        | 0.9954 | 162  | 0.8475          | 0.9018   | 0.9047 |
+| 0.0667        | 1.9969 | 325  | 0.0745          | 0.9785   | 0.9780 |
+| 0.1317        | 2.9985 | 488  | 0.0159          | 0.9939   | 0.9939 |
+| 0.0187        | 4.0    | 651  | 0.0771          | 0.9877   | 0.9878 |
+| 0.0762        | 4.9954 | 813  | 0.1135          | 0.9877   | 0.9878 |
+| 0.006         | 5.9969 | 976  | 0.0502          | 0.9969   | 0.9969 |
+| 0.1322        | 6.9985 | 1139 | 0.0357          | 0.9969   | 0.9969 |
+| 0.0332        | 8.0    | 1302 | 0.0000          | 1.0      | 1.0    |
+| 0.0           | 8.9954 | 1464 | 0.0004          | 1.0      | 1.0    |
+| 0.0           | 9.9539 | 1620 | 0.0000          | 1.0      | 1.0    |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "facebook/dinov2-base",
+  "apply_layernorm": true,
+  "architectures": [
+    "Dinov2ForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Benign",
+    "1": "Early",
+    "2": "Pre",
+    "3": "Pro"
+  },
+  "image_size": 518,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Benign": 0,
+    "Early": 1,
+    "Pre": 2,
+    "Pro": 3
+  },
+  "layer_norm_eps": 1e-06,
+  "layerscale_value": 1.0,
+  "mlp_ratio": 4,
+  "model_type": "dinov2",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "out_features": [
+    "stage12"
+  ],
+  "out_indices": [
+    12
+  ],
+  "patch_size": 14,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "reshape_hidden_states": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4",
+    "stage5",
+    "stage6",
+    "stage7",
+    "stage8",
+    "stage9",
+    "stage10",
+    "stage11",
+    "stage12"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "use_swiglu_ffn": false
+}

model.safetensors

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+oid sha256:7ec45adaaadf5584ebdf13c8d678ada0a5920b7618f713a06e3c2e53136a6430
+size 346372224

preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "BitImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 256
+  }
+}

runs/Sep08_16-35-04_e18483dcd2bc/events.out.tfevents.1725813337.e18483dcd2bc.1789.0

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runs/Sep08_16-38-56_e18483dcd2bc/events.out.tfevents.1725813547.e18483dcd2bc.1789.1

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training_args.bin

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