Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/convnext-tiny-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: devout-voice-234
+  results: []
+---
+
+<!-- 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. -->
+
+# devout-voice-234
+
+This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4823
+- Accuracy: 0.6195
+- Precision: 0.7580
+- Recall: 0.6195
+- F1: 0.6418
+- Roc Auc: 0.9108
+
+## 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: 0.0001
+- train_batch_size: 256
+- eval_batch_size: 256
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 40
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Roc Auc |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:|
+| 1.3843        | 1.0   | 15   | 1.3708          | 0.2922   | 0.5011    | 0.2922 | 0.2957 | 0.6501  |
+| 1.3354        | 2.0   | 30   | 1.3256          | 0.5062   | 0.5231    | 0.5062 | 0.4827 | 0.7450  |
+| 1.2134        | 3.0   | 45   | 1.1394          | 0.5508   | 0.5749    | 0.5508 | 0.4751 | 0.7934  |
+| 1.0408        | 4.0   | 60   | 0.9792          | 0.5188   | 0.6137    | 0.5188 | 0.5357 | 0.8100  |
+| 0.881         | 5.0   | 75   | 0.6658          | 0.5508   | 0.5913    | 0.5508 | 0.5508 | 0.8320  |
+| 0.7118        | 6.0   | 90   | 0.6165          | 0.5086   | 0.6760    | 0.5086 | 0.5172 | 0.8318  |
+| 0.7556        | 7.0   | 105  | 0.5697          | 0.6070   | 0.6564    | 0.6070 | 0.6078 | 0.8671  |
+| 0.6212        | 8.0   | 120  | 0.5433          | 0.5664   | 0.7000    | 0.5664 | 0.5755 | 0.8680  |
+| 0.5591        | 9.0   | 135  | 0.4504          | 0.6797   | 0.7197    | 0.6797 | 0.6849 | 0.8983  |
+| 0.4785        | 10.0  | 150  | 0.4269          | 0.6727   | 0.7115    | 0.6727 | 0.6706 | 0.9120  |
+| 0.4093        | 11.0  | 165  | 0.4239          | 0.6742   | 0.7948    | 0.6742 | 0.6650 | 0.9345  |
+| 0.4033        | 12.0  | 180  | 0.4823          | 0.6195   | 0.7580    | 0.6195 | 0.6418 | 0.9108  |
+
+
+### Framework versions
+
+- Transformers 4.52.3
+- Pytorch 2.7.0+cpu
+- Datasets 3.6.0
+- Tokenizers 0.21.0

best_model/config.json

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+{
+  "architectures": [
+    "ConvNextForImageClassification"
+  ],
+  "depths": [
+    3,
+    3,
+    9,
+    3
+  ],
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_sizes": [
+    96,
+    192,
+    384,
+    768
+  ],
+  "id2label": {
+    "0": "Mild_Demented",
+    "1": "Moderate_Demented",
+    "2": "Non_Demented",
+    "3": "Very_Mild_Demented"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Mild_Demented": 0,
+    "Moderate_Demented": 1,
+    "Non_Demented": 2,
+    "Very_Mild_Demented": 3
+  },
+  "layer_norm_eps": 1e-12,
+  "layer_scale_init_value": 1e-06,
+  "model_type": "convnext",
+  "num_channels": 3,
+  "num_stages": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.52.3"
+}

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