End of training
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README.md
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This model is a fine-tuned version of [Professor/Plant_Classification_model_vit-base-patch16-224-in21k](https://huggingface.co/Professor/Plant_Classification_model_vit-base-patch16-224-in21k) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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## Model description
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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_steps: 50
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss
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| No log | 1.0 |
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| No log | 2.0 |
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### Framework versions
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This model is a fine-tuned version of [Professor/Plant_Classification_model_vit-base-patch16-224-in21k](https://huggingface.co/Professor/Plant_Classification_model_vit-base-patch16-224-in21k) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4275
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- Accuracy: 0.415
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## Model description
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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_steps: 50
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- num_epochs: 10
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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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| No log | 1.0 | 25 | 1.4275 | 0.415 |
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| No log | 2.0 | 50 | 1.7043 | 0.285 |
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| No log | 3.0 | 75 | 1.6228 | 0.23 |
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| No log | 4.0 | 100 | 1.6337 | 0.2 |
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| No log | 5.0 | 125 | 1.6076 | 0.22 |
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| No log | 6.0 | 150 | 1.5424 | 0.285 |
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| No log | 7.0 | 175 | 1.5305 | 0.275 |
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| No log | 8.0 | 200 | 1.5024 | 0.32 |
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| No log | 9.0 | 225 | 1.4686 | 0.355 |
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| No log | 10.0 | 250 | 1.4797 | 0.335 |
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### Framework versions
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model.safetensors
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