Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: weed_hybrid_transformer
+  results: []
+---
+
+<!-- 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. -->
+
+# weed_hybrid_transformer
+
+This model is a fine-tuned version of [](https://huggingface.co/) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1026
+- Accuracy: 0.9667
+
+## 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: 2e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- 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
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 8.3274        | 1.0   | 150  | 0.8170          | 0.8233   |
+| 2.734         | 2.0   | 300  | 0.3290          | 0.9      |
+| 2.6813        | 3.0   | 450  | 0.2720          | 0.9167   |
+| 1.7794        | 4.0   | 600  | 0.2369          | 0.9067   |
+| 1.6344        | 5.0   | 750  | 0.1589          | 0.9567   |
+| 1.394         | 6.0   | 900  | 0.1484          | 0.9533   |
+| 1.2546        | 7.0   | 1050 | 0.1382          | 0.9567   |
+| 1.2253        | 8.0   | 1200 | 0.1565          | 0.9567   |
+| 0.7844        | 9.0   | 1350 | 0.1721          | 0.9433   |
+| 0.4964        | 10.0  | 1500 | 0.1026          | 0.9667   |
+
+
+### 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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