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README.md
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---
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license: apache-2.0
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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: weeds_convnext_balanced
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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: test
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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: 0.9333333333333333
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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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# weeds_convnext_balanced
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This model is a fine-tuned version of [facebook/convnext-large-224](https://huggingface.co/facebook/convnext-large-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1931
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- Accuracy: 0.9333
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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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: 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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| 2.0584 | 1.0 | 150 | 1.9386 | 0.6 |
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| 0.7729 | 2.0 | 300 | 0.6873 | 0.8733 |
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| 0.4394 | 3.0 | 450 | 0.4321 | 0.89 |
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| 0.3337 | 4.0 | 600 | 0.3227 | 0.9 |
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| 0.2489 | 5.0 | 750 | 0.2320 | 0.9267 |
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| 0.1998 | 6.0 | 900 | 0.2556 | 0.9233 |
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| 0.1994 | 7.0 | 1050 | 0.2538 | 0.92 |
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| 0.1573 | 8.0 | 1200 | 0.2224 | 0.9333 |
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| 0.143 | 9.0 | 1350 | 0.1495 | 0.96 |
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| 0.0686 | 10.0 | 1500 | 0.1931 | 0.9333 |
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### Framework versions
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- Transformers 4.27.4
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- Pytorch 2.0.0
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- Datasets 2.11.0
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- Tokenizers 0.11.0
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