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 3, checkpoint
Browse files
last-checkpoint/config.json
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"transformers_version": "5.
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"use_cache": false
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}
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"pooler_output_size": 768,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"transformers_version": "5.2.0",
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"use_cache": false
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}
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last-checkpoint/model.safetensors
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last-checkpoint/trainer_state.json
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"best_global_step":
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"best_metric":
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"best_model_checkpoint": "./finetuning/checkpoint-
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"epoch":
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"eval_steps": 500,
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"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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"step":
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"logging_steps": 10,
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"TrainerControl": {
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"best_metric": 1.1013036966323853,
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"best_model_checkpoint": "./finetuning/checkpoint-32",
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"epoch": 3.0,
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"eval_steps": 500,
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"is_hyper_param_search": false,
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"eval_accuracy": 0.7275,
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"TrainerControl": {
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last-checkpoint/training_args.bin
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version https://git-lfs.github.com/spec/v1
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size
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