Model save

README.md

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+---
+license: apache-2.0
+base_model: facebook/convnext-tiny-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: idbwtiny
+  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. -->
+
+# idbwtiny
+
+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: 0.1267
+- Accuracy: 0.9569
+
+## 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: 0.0002
+- train_batch_size: 150
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.3871        | 1.0   | 2010  | 0.3021          | 0.8674   |
+| 0.3403        | 2.0   | 4020  | 0.2442          | 0.8967   |
+| 0.3058        | 3.0   | 6030  | 0.2269          | 0.9052   |
+| 0.2722        | 4.0   | 8040  | 0.2008          | 0.9197   |
+| 0.2496        | 5.0   | 10050 | 0.1841          | 0.9272   |
+| 0.2219        | 6.0   | 12060 | 0.1706          | 0.9353   |
+| 0.198         | 7.0   | 14070 | 0.1478          | 0.9452   |
+| 0.1812        | 8.0   | 16080 | 0.1413          | 0.9503   |
+| 0.1632        | 9.0   | 18090 | 0.1301          | 0.9553   |
+| 0.1576        | 10.0  | 20100 | 0.1267          | 0.9569   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.15.2

config.json

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+{
+  "_name_or_path": "facebook/convnext-tiny-224",
+  "architectures": [
+    "ConvNextForImageClassification"
+  ],
+  "depths": [
+    3,
+    3,
+    9,
+    3
+  ],
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_sizes": [
+    96,
+    192,
+    384,
+    768
+  ],
+  "id2label": {
+    "0": "AI",
+    "1": "Human"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "AI": "0",
+    "Human": "1"
+  },
+  "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,
+  "problem_type": "single_label_classification",
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2"
+}

model.safetensors

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preprocessor_config.json

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+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ConvNextFeatureExtractor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": [
+    224,
+    224
+  ]
+}

runs/Apr20_09-46-25_c768f2f23310/events.out.tfevents.1713606387.c768f2f23310.228.0

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training_args.bin

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