Image Classification
Transformers
PyTorch
TensorBoard
swin
Generated from Trainer
Eval Results (legacy)
Instructions to use amjadfqs/swin-base-patch4-window7-224-in22k-finetuned-brain-tumor-final_06 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amjadfqs/swin-base-patch4-window7-224-in22k-finetuned-brain-tumor-final_06 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="amjadfqs/swin-base-patch4-window7-224-in22k-finetuned-brain-tumor-final_06") 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("amjadfqs/swin-base-patch4-window7-224-in22k-finetuned-brain-tumor-final_06") model = AutoModelForImageClassification.from_pretrained("amjadfqs/swin-base-patch4-window7-224-in22k-finetuned-brain-tumor-final_06") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": 0.9259681093394078, | |
| "best_model_checkpoint": "swin-base-patch4-window7-224-in22k-finetuned-brain-tumor-final_06/checkpoint-92", | |
| "epoch": 9.81132075471698, | |
| "global_step": 130, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.75, | |
| "learning_rate": 3.846153846153846e-05, | |
| "loss": 1.3082, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "eval_accuracy": 0.7818906605922551, | |
| "eval_f1_score": 0.7688908936900031, | |
| "eval_loss": 0.7669380307197571, | |
| "eval_precision": 0.772266175890896, | |
| "eval_runtime": 96.6843, | |
| "eval_samples_per_second": 18.162, | |
| "eval_steps_per_second": 0.186, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "learning_rate": 4.700854700854701e-05, | |
| "loss": 0.5415, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "eval_accuracy": 0.8866742596810934, | |
| "eval_f1_score": 0.8812008726859037, | |
| "eval_loss": 0.30995097756385803, | |
| "eval_precision": 0.8815838870979282, | |
| "eval_runtime": 96.8361, | |
| "eval_samples_per_second": 18.134, | |
| "eval_steps_per_second": 0.186, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 2.26, | |
| "learning_rate": 4.2735042735042735e-05, | |
| "loss": 0.279, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 2.94, | |
| "eval_accuracy": 0.8992027334851936, | |
| "eval_f1_score": 0.8966789636521464, | |
| "eval_loss": 0.2901477813720703, | |
| "eval_precision": 0.8961078828721537, | |
| "eval_runtime": 98.6216, | |
| "eval_samples_per_second": 17.805, | |
| "eval_steps_per_second": 0.183, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 3.02, | |
| "learning_rate": 3.846153846153846e-05, | |
| "loss": 0.1999, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 3.77, | |
| "learning_rate": 3.418803418803419e-05, | |
| "loss": 0.1563, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.908883826879271, | |
| "eval_f1_score": 0.9078306964745567, | |
| "eval_loss": 0.265499472618103, | |
| "eval_precision": 0.9083718207644937, | |
| "eval_runtime": 98.7489, | |
| "eval_samples_per_second": 17.782, | |
| "eval_steps_per_second": 0.182, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 4.53, | |
| "learning_rate": 2.9914529914529915e-05, | |
| "loss": 0.1304, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 4.98, | |
| "eval_accuracy": 0.8963553530751709, | |
| "eval_f1_score": 0.893452293959199, | |
| "eval_loss": 0.29711824655532837, | |
| "eval_precision": 0.8958018875603853, | |
| "eval_runtime": 98.1792, | |
| "eval_samples_per_second": 17.886, | |
| "eval_steps_per_second": 0.183, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 5.28, | |
| "learning_rate": 2.564102564102564e-05, | |
| "loss": 0.1058, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 5.96, | |
| "eval_accuracy": 0.9242596810933941, | |
| "eval_f1_score": 0.9217937412983948, | |
| "eval_loss": 0.2358219474554062, | |
| "eval_precision": 0.9224441106512246, | |
| "eval_runtime": 97.7045, | |
| "eval_samples_per_second": 17.973, | |
| "eval_steps_per_second": 0.184, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 6.04, | |
| "learning_rate": 2.1367521367521368e-05, | |
| "loss": 0.0994, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 6.79, | |
| "learning_rate": 1.7094017094017095e-05, | |
| "loss": 0.0971, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 6.94, | |
| "eval_accuracy": 0.9259681093394078, | |
| "eval_f1_score": 0.9245178077359331, | |
| "eval_loss": 0.2297922521829605, | |
| "eval_precision": 0.9257734526574422, | |
| "eval_runtime": 97.6588, | |
| "eval_samples_per_second": 17.981, | |
| "eval_steps_per_second": 0.184, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 7.55, | |
| "learning_rate": 1.282051282051282e-05, | |
| "loss": 0.079, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.9134396355353075, | |
| "eval_f1_score": 0.9122558962664452, | |
| "eval_loss": 0.2468264102935791, | |
| "eval_precision": 0.9125171421300797, | |
| "eval_runtime": 97.7172, | |
| "eval_samples_per_second": 17.97, | |
| "eval_steps_per_second": 0.184, | |
| "step": 106 | |
| }, | |
| { | |
| "epoch": 8.3, | |
| "learning_rate": 8.547008547008548e-06, | |
| "loss": 0.0638, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 8.98, | |
| "eval_accuracy": 0.9111617312072893, | |
| "eval_f1_score": 0.9096838863764772, | |
| "eval_loss": 0.25342050194740295, | |
| "eval_precision": 0.9100934936164933, | |
| "eval_runtime": 97.1847, | |
| "eval_samples_per_second": 18.069, | |
| "eval_steps_per_second": 0.185, | |
| "step": 119 | |
| }, | |
| { | |
| "epoch": 9.06, | |
| "learning_rate": 4.273504273504274e-06, | |
| "loss": 0.061, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 9.81, | |
| "learning_rate": 0.0, | |
| "loss": 0.0538, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 9.81, | |
| "eval_accuracy": 0.9225512528473804, | |
| "eval_f1_score": 0.9210297526787381, | |
| "eval_loss": 0.23841328918933868, | |
| "eval_precision": 0.9214370287637926, | |
| "eval_runtime": 97.7614, | |
| "eval_samples_per_second": 17.962, | |
| "eval_steps_per_second": 0.184, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 9.81, | |
| "step": 130, | |
| "total_flos": 4.0507959904511017e+18, | |
| "train_loss": 0.24423522857519298, | |
| "train_runtime": 12543.349, | |
| "train_samples_per_second": 4.199, | |
| "train_steps_per_second": 0.01 | |
| } | |
| ], | |
| "max_steps": 130, | |
| "num_train_epochs": 10, | |
| "total_flos": 4.0507959904511017e+18, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |