Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/convnextv2-large-22k-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: convnext_checkpoints_mar20_classification_combat_mission
+  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. -->
+
+# convnext_checkpoints_mar20_classification_combat_mission
+
+This model is a fine-tuned version of [facebook/convnextv2-large-22k-224](https://huggingface.co/facebook/convnextv2-large-22k-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0053
+- Accuracy: 0.9980
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0523        | 1.0   | 278  | 0.0092          | 0.9968   |
+| 0.0297        | 2.0   | 556  | 0.0045          | 0.9984   |
+| 0.0264        | 3.0   | 834  | 0.0053          | 0.9980   |
+
+
+### Framework versions
+
+- Transformers 5.3.0
+- Pytorch 2.10.0+cu128
+- Datasets 4.6.1
+- Tokenizers 0.22.2

best/config.json

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+{
+  "architectures": [
+    "ConvNextV2ForImageClassification"
+  ],
+  "depths": [
+    3,
+    3,
+    27,
+    3
+  ],
+  "drop_path_rate": 0.0,
+  "dtype": "float32",
+  "hidden_act": "gelu",
+  "hidden_sizes": [
+    192,
+    384,
+    768,
+    1536
+  ],
+  "id2label": {
+    "0": "combat",
+    "1": "mission"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "combat": 0,
+    "mission": 1
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "convnextv2",
+  "num_channels": 3,
+  "num_stages": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "patch_size": 4,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "transformers_version": "5.3.0",
+  "use_cache": false
+}

best/model.safetensors

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best/training_args.bin

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