Model save
Browse files- README.md +93 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: facebook/convnextv2-base-22k-224
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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metrics:
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- accuracy
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model-index:
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- name: switch_gate-leaf-disease-convnextv2-base-22k-224
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: imagefolder
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type: imagefolder
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config: default
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split: None
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9378504672897197
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# switch_gate-leaf-disease-convnextv2-base-22k-224
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This model is a fine-tuned version of [facebook/convnextv2-base-22k-224](https://huggingface.co/facebook/convnextv2-base-22k-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1674
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- Accuracy: 0.9379
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 300
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- eval_batch_size: 300
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 1200
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 16
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.6005 | 0.98 | 16 | 0.3258 | 0.8701 |
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| 0.234 | 1.97 | 32 | 0.2121 | 0.9173 |
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| 0.197 | 2.95 | 48 | 0.1869 | 0.9271 |
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| 0.1613 | 4.0 | 65 | 0.1692 | 0.9336 |
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| 0.1536 | 4.98 | 81 | 0.1616 | 0.9397 |
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| 0.1426 | 5.97 | 97 | 0.1628 | 0.9355 |
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| 0.132 | 6.95 | 113 | 0.1609 | 0.9407 |
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| 0.1304 | 8.0 | 130 | 0.1597 | 0.9402 |
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| 0.1245 | 8.98 | 146 | 0.1628 | 0.9350 |
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| 0.1224 | 9.97 | 162 | 0.1664 | 0.9364 |
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| 0.1143 | 10.95 | 178 | 0.1615 | 0.9388 |
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| 0.1106 | 12.0 | 195 | 0.1641 | 0.9393 |
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| 0.103 | 12.98 | 211 | 0.1689 | 0.9374 |
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| 0.1047 | 13.97 | 227 | 0.1673 | 0.9379 |
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| 0.102 | 14.95 | 243 | 0.1681 | 0.9397 |
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| 0.1038 | 15.75 | 256 | 0.1674 | 0.9379 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.2.1
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- Datasets 2.18.0
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- Tokenizers 0.15.1
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 350825440
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version https://git-lfs.github.com/spec/v1
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oid sha256:81dcdf3aea9a85d89efbc1f797b2de9cc9fa9e409ae85928f24a8941f0e94143
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size 350825440
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