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
+  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: 0.9115079365079365
+---
+
+<!-- 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
+
+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: 0.4288
+- Accuracy: 0.9115
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6173        | 1.0   | 275  | 0.5020          | 0.8473   |
+| 0.3079        | 2.0   | 550  | 0.4532          | 0.8672   |
+| 0.174         | 3.0   | 825  | 0.4498          | 0.8771   |
+| 0.0955        | 4.0   | 1100 | 0.4480          | 0.8907   |
+| 0.0435        | 5.0   | 1375 | 0.4689          | 0.8938   |
+| 0.0282        | 6.0   | 1650 | 0.4556          | 0.9002   |
+| 0.0085        | 7.0   | 1925 | 0.3986          | 0.9161   |
+| 0.0065        | 8.0   | 2200 | 0.4051          | 0.9189   |
+| 0.0012        | 9.0   | 2475 | 0.4022          | 0.9221   |
+| 0.0023        | 10.0  | 2750 | 0.4029          | 0.9217   |
+
+
+### 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_02-58-37_7554d86bde98/events.out.tfevents.1716356059.7554d86bde98.24.1

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