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: dark-pond-236
+  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. -->
+
+# dark-pond-236
+
+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: 0.1304
+- Accuracy: 0.9611
+- Precision: 0.9611
+- Recall: 0.9611
+- F1: 0.9611
+- Roc Auc: 0.9990
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Roc Auc |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:-------:|
+| 1.4605        | 1.0   | 161  | 0.4303          | 0.8863   | 0.8910    | 0.8863 | 0.8860 | 0.9934  |
+| 0.6333        | 2.0   | 322  | 0.2051          | 0.9418   | 0.9423    | 0.9418 | 0.9418 | 0.9980  |
+| 0.5099        | 3.0   | 483  | 0.1538          | 0.9539   | 0.9540    | 0.9539 | 0.9538 | 0.9987  |
+| 0.4501        | 4.0   | 644  | 0.1353          | 0.9606   | 0.9605    | 0.9606 | 0.9605 | 0.9989  |
+| 0.4281        | 5.0   | 805  | 0.1304          | 0.9611   | 0.9611    | 0.9611 | 0.9611 | 0.9990  |
+
+
+### 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": "airplane",
+    "1": "automobile",
+    "2": "bird",
+    "3": "cat",
+    "4": "deer",
+    "5": "dog",
+    "6": "frog",
+    "7": "horse",
+    "8": "ship",
+    "9": "truck"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "airplane": 0,
+    "automobile": 1,
+    "bird": 2,
+    "cat": 3,
+    "deer": 4,
+    "dog": 5,
+    "frog": 6,
+    "horse": 7,
+    "ship": 8,
+    "truck": 9
+  },
+  "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"
+}

best_model/model.safetensors

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best_model/training_args.bin

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