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Parent(s):
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Model save
Browse files- README.md +92 -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-1k-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: convnextv2-base-1k-224-finetuned-cassava-leaf-disease
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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: train
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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: 0.8845794392523364
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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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# convnextv2-base-1k-224-finetuned-cassava-leaf-disease
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This model is a fine-tuned version of [facebook/convnextv2-base-1k-224](https://huggingface.co/facebook/convnextv2-base-1k-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3329
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- Accuracy: 0.8846
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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: 240
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- eval_batch_size: 240
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 960
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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: 15
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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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| 2.7644 | 0.99 | 20 | 1.5288 | 0.6140 |
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| 0.8358 | 1.98 | 40 | 0.6582 | 0.7584 |
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| 0.5367 | 2.96 | 60 | 0.4823 | 0.8229 |
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| 0.4645 | 4.0 | 81 | 0.4269 | 0.8556 |
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| 0.4218 | 4.99 | 101 | 0.3912 | 0.8659 |
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| 0.391 | 5.98 | 121 | 0.3637 | 0.8748 |
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| 0.3789 | 6.96 | 141 | 0.3554 | 0.8748 |
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| 0.3684 | 8.0 | 162 | 0.3489 | 0.8790 |
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| 0.3671 | 8.99 | 182 | 0.3503 | 0.8813 |
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| 0.3545 | 9.98 | 202 | 0.3442 | 0.8818 |
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| 0.339 | 10.96 | 222 | 0.3369 | 0.8841 |
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| 0.3225 | 12.0 | 243 | 0.3424 | 0.8808 |
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| 0.3228 | 12.99 | 263 | 0.3386 | 0.8850 |
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| 0.3141 | 13.98 | 283 | 0.3344 | 0.8846 |
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| 0.3219 | 14.81 | 300 | 0.3329 | 0.8846 |
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### Framework versions
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- Transformers 4.37.2
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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 354917376
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version https://git-lfs.github.com/spec/v1
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oid sha256:493854e9e238930c2cb2e990909c3e253e3c2d317679866979205e4675483ac2
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size 354917376
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