Model save

README.md

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+---
+license: apache-2.0
+base_model: facebook/convnextv2-nano-22k-384
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: convnext-nano-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: 0.9081349206349206
+---
+
+<!-- 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-nano-15ep
+
+This model is a fine-tuned version of [facebook/convnextv2-nano-22k-384](https://huggingface.co/facebook/convnextv2-nano-22k-384) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4761
+- Accuracy: 0.9081
+
+## 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: 0.0003
+- train_batch_size: 64
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5814        | 1.0   | 275  | 0.5148          | 0.8477   |
+| 0.2972        | 2.0   | 550  | 0.4967          | 0.8557   |
+| 0.1871        | 3.0   | 825  | 0.4887          | 0.8716   |
+| 0.1205        | 4.0   | 1100 | 0.5173          | 0.8688   |
+| 0.0732        | 5.0   | 1375 | 0.4979          | 0.8815   |
+| 0.0443        | 6.0   | 1650 | 0.5483          | 0.8815   |
+| 0.0392        | 7.0   | 1925 | 0.5512          | 0.8835   |
+| 0.018         | 8.0   | 2200 | 0.5102          | 0.8946   |
+| 0.0043        | 9.0   | 2475 | 0.5423          | 0.8954   |
+| 0.0087        | 10.0  | 2750 | 0.4903          | 0.9105   |
+| 0.0035        | 11.0  | 3025 | 0.4855          | 0.9082   |
+| 0.0022        | 12.0  | 3300 | 0.4874          | 0.9074   |
+| 0.0019        | 13.0  | 3575 | 0.4858          | 0.9082   |
+| 0.0018        | 14.0  | 3850 | 0.4857          | 0.9082   |
+| 0.0018        | 15.0  | 4125 | 0.4859          | 0.9082   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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runs/May22_05-58-18_52ad00db41ab/events.out.tfevents.1716372255.52ad00db41ab.25.1

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