Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use BilalMuftuoglu/beit-base-patch16-224-85-fold4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BilalMuftuoglu/beit-base-patch16-224-85-fold4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BilalMuftuoglu/beit-base-patch16-224-85-fold4") 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("BilalMuftuoglu/beit-base-patch16-224-85-fold4") model = AutoModelForImageClassification.from_pretrained("BilalMuftuoglu/beit-base-patch16-224-85-fold4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +3 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/May20_20-49-03_b94dbfcd7693/events.out.tfevents.1716239380.b94dbfcd7693.1289.36 +3 -0
- train_results.json +8 -0
- trainer_state.json +1079 -0
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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This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) 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.
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## Model description
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metrics:
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- name: Accuracy
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type: accuracy
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+
value: 0.9545454545454546
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---
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| 27 |
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| 28 |
<!-- 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 [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.1725
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- Accuracy: 0.9545
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## Model description
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all_results.json
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{
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"epoch": 100.0,
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"eval_accuracy": 0.9545454545454546,
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"eval_loss": 0.17253318428993225,
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"eval_runtime": 0.6994,
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"eval_samples_per_second": 62.914,
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"eval_steps_per_second": 2.86,
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"total_flos": 1.8822505078960128e+18,
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"train_loss": 0.1967863607406616,
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"train_runtime": 1219.0063,
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"train_samples_per_second": 19.934,
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"train_steps_per_second": 0.164
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}
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eval_results.json
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{
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"epoch": 100.0,
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"eval_accuracy": 0.9545454545454546,
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"eval_loss": 0.17253318428993225,
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"eval_runtime": 0.6994,
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"eval_samples_per_second": 62.914,
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"eval_steps_per_second": 2.86
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}
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runs/May20_20-49-03_b94dbfcd7693/events.out.tfevents.1716239380.b94dbfcd7693.1289.36
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version https://git-lfs.github.com/spec/v1
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oid sha256:915ff9f32179dcf472ab457543541fd99cb7d5077112f20df7df0588c613b4ed
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size 411
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train_results.json
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"epoch": 100.0,
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"total_flos": 1.8822505078960128e+18,
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"train_loss": 0.1967863607406616,
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"train_runtime": 1219.0063,
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"train_samples_per_second": 19.934,
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"train_steps_per_second": 0.164
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}
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trainer_state.json
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