Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use arpanl/Fine-Tuned_Model3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arpanl/Fine-Tuned_Model3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="arpanl/Fine-Tuned_Model3") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("arpanl/Fine-Tuned_Model3") model = AutoModelForImageClassification.from_pretrained("arpanl/Fine-Tuned_Model3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download trainer_state.json from arpanl/Fine-Tuned_Model3: direct link, hf CLI and curl.
- Browser
- Download file 3.08 kB
-
https://huggingface.co/arpanl/Fine-Tuned_Model3/resolve/main/trainer_state.json
- Command line
-
hf download hf://arpanl/Fine-Tuned_Model3/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/arpanl/Fine-Tuned_Model3/resolve/main/trainer_state.json
3.08 kB
| { | |
| "best_metric": 0.736162006855011, | |
| "best_model_checkpoint": "/content/drive/MyDrive/Fine-Tuned_Model3/checkpoint-120", | |
| "epoch": 30.0, | |
| "eval_steps": 20, | |
| "global_step": 120, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
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| "epoch": 5.0, | |
| "learning_rate": 6.25e-05, | |
| "loss": 3.2255, | |
| "step": 20 | |
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| "epoch": 5.0, | |
| "eval_accuracy": 0.512, | |
| "eval_f1": 0.30833289169267614, | |
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| "epoch": 10.0, | |
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| "step": 40 | |
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| "epoch": 15.0, | |
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| "step": 80 | |
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| { | |
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| "train_steps_per_second": 0.05 | |
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| "logging_steps": 20, | |
| "max_steps": 120, | |
| "num_input_tokens_seen": 0, | |
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| "trial_name": null, | |
| "trial_params": null | |
| } | |