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update model card README.md
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README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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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@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder 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_ratio: 0.1
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- num_epochs:
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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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| 1.
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### Framework versions
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9382716049382716
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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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This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4685
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- Accuracy: 0.9383
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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_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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| 1.5583 | 0.97 | 23 | 1.6008 | 0.7160 |
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| 1.2953 | 1.97 | 46 | 1.2957 | 0.7531 |
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| 0.9488 | 2.97 | 69 | 1.0720 | 0.8148 |
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| 0.7036 | 3.97 | 92 | 0.8965 | 0.8642 |
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| 0.5446 | 4.97 | 115 | 0.7574 | 0.9383 |
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| 0.4113 | 5.97 | 138 | 0.6522 | 0.9383 |
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| 0.2259 | 6.97 | 161 | 0.5720 | 0.9383 |
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| 0.1863 | 7.97 | 184 | 0.5076 | 0.9506 |
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| 0.1443 | 8.97 | 207 | 0.4795 | 0.9383 |
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| 0.1289 | 9.97 | 230 | 0.4685 | 0.9383 |
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### Framework versions
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