Instructions to use CVPROJ25/FINETUNED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CVPROJ25/FINETUNED with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="CVPROJ25/FINETUNED") 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("CVPROJ25/FINETUNED") model = AutoModelForImageClassification.from_pretrained("CVPROJ25/FINETUNED", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- all_results.json +9 -9
- eval_results.json +5 -5
- model.safetensors +1 -1
- train_results.json +4 -4
all_results.json
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"epoch": 3.0,
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"total_flos": 1.876443281620992e+18,
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{
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"epoch": 3.0,
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"eval_accuracy": 0.773,
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"eval_loss": 0.8921805620193481,
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"eval_runtime": 100.2563,
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"eval_samples_per_second": 19.949,
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"eval_steps_per_second": 1.247,
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"total_flos": 1.876443281620992e+18,
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"train_loss": 0.48999689022699994,
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"train_runtime": 1563.8448,
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"train_samples_per_second": 51.156,
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"train_steps_per_second": 0.102
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eval_results.json
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"eval_accuracy": 0.773,
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"eval_loss": 0.8921805620193481,
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"eval_runtime": 100.2563,
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"eval_samples_per_second": 19.949,
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"eval_steps_per_second": 1.247
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 346293856
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train_results.json
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{
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"epoch": 3.0,
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"total_flos": 1.876443281620992e+18,
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"train_loss": 0.
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{
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"epoch": 3.0,
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"total_flos": 1.876443281620992e+18,
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"train_loss": 0.48999689022699994,
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"train_runtime": 1563.8448,
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"train_samples_per_second": 51.156,
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"train_steps_per_second": 0.102
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}
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