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-5ep-batch-16
+  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: 0.917063492063492
+---
+
+<!-- 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-5ep-batch-16
+
+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: 0.3835
+- Accuracy: 0.9171
+
+## 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: 32
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.575         | 1.0   | 550  | 0.5743          | 0.8250   |
+| 0.3134        | 2.0   | 1100 | 0.4706          | 0.8680   |
+| 0.1174        | 3.0   | 1650 | 0.4487          | 0.8863   |
+| 0.017         | 4.0   | 2200 | 0.3822          | 0.9129   |
+| 0.0118        | 5.0   | 2750 | 0.3802          | 0.9137   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

runs/May22_10-30-38_5850f581a992/events.out.tfevents.1716378617.5850f581a992.34.1

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