End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/convnext-large-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: weeds24_convnext_balanced
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: test
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9466666666666667
+---
+
+<!-- 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. -->
+
+# weeds24_convnext_balanced
+
+This model is a fine-tuned version of [facebook/convnext-large-224](https://huggingface.co/facebook/convnext-large-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1877
+- Accuracy: 0.9467
+
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 7.4829        | 1.0   | 150  | 1.7511          | 0.7067   |
+| 2.4023        | 2.0   | 300  | 0.5508          | 0.88     |
+| 1.3619        | 3.0   | 450  | 0.3333          | 0.9067   |
+| 0.8977        | 4.0   | 600  | 0.2723          | 0.91     |
+| 0.6876        | 5.0   | 750  | 0.2152          | 0.93     |
+| 0.7965        | 6.0   | 900  | 0.1958          | 0.9333   |
+| 0.6088        | 7.0   | 1050 | 0.2203          | 0.92     |
+| 0.6752        | 8.0   | 1200 | 0.1977          | 0.94     |
+| 0.2985        | 9.0   | 1350 | 0.1814          | 0.9533   |
+| 0.2278        | 10.0  | 1500 | 0.1877          | 0.9467   |
+
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.5.0+cu124
+- Datasets 3.0.2
+- Tokenizers 0.20.1

model.safetensors

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