Image Classification
Transformers
TensorBoard
Safetensors
convnext
Generated from Trainer
Eval Results (legacy)
Instructions to use rukundob451/convnext-tiny-224-finetuned-papsmear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rukundob451/convnext-tiny-224-finetuned-papsmear with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="rukundob451/convnext-tiny-224-finetuned-papsmear") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("rukundob451/convnext-tiny-224-finetuned-papsmear") model = AutoModelForImageClassification.from_pretrained("rukundob451/convnext-tiny-224-finetuned-papsmear", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +1 -1
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Sep20_04-40-08_5f17a1ad0634/events.out.tfevents.1726812126.5f17a1ad0634.36.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +373 -0
README.md
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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.
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- Accuracy: 0.7794
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## Model description
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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: 0.6033
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- Accuracy: 0.7794
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## Model description
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all_results.json
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{
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"epoch": 14.805194805194805,
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"eval_accuracy": 0.7794117647058824,
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"eval_loss": 0.6032511591911316,
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"eval_runtime": 28.9923,
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"eval_samples_per_second": 4.691,
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"eval_steps_per_second": 0.31,
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"total_flos": 4.55564191810388e+17,
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"train_loss": 0.9492872991059956,
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"train_runtime": 4189.5915,
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"train_samples_per_second": 4.382,
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"train_steps_per_second": 0.068
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}
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eval_results.json
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"epoch": 14.805194805194805,
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"eval_loss": 0.6032511591911316,
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"eval_runtime": 28.9923,
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"eval_samples_per_second": 4.691,
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"eval_steps_per_second": 0.31
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}
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runs/Sep20_04-40-08_5f17a1ad0634/events.out.tfevents.1726812126.5f17a1ad0634.36.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:a8e6fdaed5af3a730d85ee9ea92853e36e2b1b412ada9c7b8533e7f9fea2dbcd
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size 411
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train_results.json
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}
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trainer_state.json
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