Model save

README.md

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+---
+license: apache-2.0
+base_model: facebook/convnextv2-base-22k-384
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: convnext-base-8e-5-15ep
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9427435387673956
+---
+
+<!-- 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-base-8e-5-15ep
+
+This model is a fine-tuned version of [facebook/convnextv2-base-22k-384](https://huggingface.co/facebook/convnextv2-base-22k-384) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3251
+- Accuracy: 0.9427
+
+## 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: 8e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.5403        | 1.0   | 1099  | 0.4231          | 0.8744   |
+| 0.4376        | 2.0   | 2198  | 0.3817          | 0.8899   |
+| 0.3601        | 3.0   | 3297  | 0.3818          | 0.9018   |
+| 0.3202        | 4.0   | 4396  | 0.3153          | 0.9201   |
+| 0.2463        | 5.0   | 5495  | 0.3216          | 0.9229   |
+| 0.2051        | 6.0   | 6594  | 0.3338          | 0.9213   |
+| 0.2108        | 7.0   | 7693  | 0.3224          | 0.9272   |
+| 0.1568        | 8.0   | 8792  | 0.3127          | 0.9356   |
+| 0.1491        | 9.0   | 9891  | 0.3258          | 0.9352   |
+| 0.0998        | 10.0  | 10990 | 0.3257          | 0.9348   |
+| 0.0728        | 11.0  | 12089 | 0.3289          | 0.9368   |
+| 0.0872        | 12.0  | 13188 | 0.3288          | 0.9408   |
+| 0.0731        | 13.0  | 14287 | 0.3320          | 0.9408   |
+| 0.0693        | 14.0  | 15386 | 0.3270          | 0.9423   |
+| 0.0586        | 15.0  | 16485 | 0.3251          | 0.9427   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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