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-20ep
+  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: 0.8702380952380953
+---
+
+<!-- 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-20ep
+
+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: 0.4812
+- Accuracy: 0.8702
+
+## 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: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5831        | 1.0   | 275  | 0.5660          | 0.8278   |
+| 0.3159        | 2.0   | 550  | 0.5093          | 0.8529   |
+| 0.1892        | 3.0   | 825  | 0.4719          | 0.8779   |
+| 0.1111        | 4.0   | 1100 | 0.5067          | 0.8755   |
+| 0.0886        | 5.0   | 1375 | 0.5278          | 0.8708   |
+| 0.0697        | 6.0   | 1650 | 0.6000          | 0.8628   |
+| 0.0396        | 7.0   | 1925 | 0.6158          | 0.8736   |
+| 0.0386        | 8.0   | 2200 | 0.6448          | 0.8684   |
+| 0.0323        | 9.0   | 2475 | 0.5637          | 0.8915   |
+| 0.0157        | 10.0  | 2750 | 0.5845          | 0.8958   |
+| 0.0067        | 11.0  | 3025 | 0.5574          | 0.9018   |
+| 0.005         | 12.0  | 3300 | 0.5378          | 0.9034   |
+| 0.0031        | 13.0  | 3575 | 0.5526          | 0.9014   |
+| 0.0023        | 14.0  | 3850 | 0.5419          | 0.9093   |
+| 0.0026        | 15.0  | 4125 | 0.5323          | 0.9113   |
+| 0.0024        | 16.0  | 4400 | 0.5298          | 0.9117   |
+| 0.0019        | 17.0  | 4675 | 0.5323          | 0.9121   |
+| 0.002         | 18.0  | 4950 | 0.5315          | 0.9125   |
+| 0.0012        | 19.0  | 5225 | 0.5314          | 0.9121   |
+| 0.0019        | 20.0  | 5500 | 0.5315          | 0.9117   |
+
+
+### 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_05-59-56_28f7779b6c91/events.out.tfevents.1716376865.28f7779b6c91.25.1

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