Image Classification
Transformers
PyTorch
TensorBoard
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use ALM-AHME/beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-40-30-30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ALM-AHME/beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-40-30-30 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ALM-AHME/beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-40-30-30") 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("ALM-AHME/beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-40-30-30") model = AutoModelForImageClassification.from_pretrained("ALM-AHME/beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-40-30-30", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": 0.9805094130675526, | |
| "best_model_checkpoint": "beit-large-patch16-224-finetuned-LungCancer-Classification-LC25000-AH-40-30-30/checkpoint-465", | |
| "epoch": 4.96, | |
| "global_step": 465, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.05, | |
| "learning_rate": 1.072961373390558e-05, | |
| "loss": 0.8808, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "learning_rate": 2.145922746781116e-05, | |
| "loss": 0.3702, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "learning_rate": 3.2188841201716734e-05, | |
| "loss": 0.2654, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "learning_rate": 4.291845493562232e-05, | |
| "loss": 0.2283, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "learning_rate": 5.36480686695279e-05, | |
| "loss": 0.1849, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "learning_rate": 6.437768240343347e-05, | |
| "loss": 0.1441, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "learning_rate": 7.510729613733907e-05, | |
| "loss": 0.4052, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.43, | |
| "learning_rate": 8.583690987124464e-05, | |
| "loss": 0.1893, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "learning_rate": 9.656652360515021e-05, | |
| "loss": 0.1277, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 0.0001072961373390558, | |
| "loss": 0.0835, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "learning_rate": 0.00011802575107296138, | |
| "loss": 0.3402, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "learning_rate": 0.00012875536480686693, | |
| "loss": 0.2402, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "learning_rate": 0.00013948497854077252, | |
| "loss": 0.1546, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "learning_rate": 0.00015021459227467814, | |
| "loss": 0.1784, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "learning_rate": 0.0001609442060085837, | |
| "loss": 0.3537, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "learning_rate": 0.00017167381974248928, | |
| "loss": 0.2355, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "learning_rate": 0.00018240343347639484, | |
| "loss": 0.2231, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "learning_rate": 0.00019313304721030043, | |
| "loss": 0.2312, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "eval_accuracy": 0.9452934662236988, | |
| "eval_loss": 0.18224409222602844, | |
| "eval_runtime": 194.4559, | |
| "eval_samples_per_second": 23.219, | |
| "eval_steps_per_second": 1.455, | |
| "step": 93 | |
| }, | |
| { | |
| "epoch": 1.01, | |
| "learning_rate": 0.00020386266094420602, | |
| "loss": 0.1662, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "learning_rate": 0.0002145922746781116, | |
| "loss": 0.2914, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 1.12, | |
| "learning_rate": 0.00022532188841201716, | |
| "loss": 0.3028, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "learning_rate": 0.00023605150214592275, | |
| "loss": 0.2727, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "learning_rate": 0.0002467811158798283, | |
| "loss": 0.1559, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "learning_rate": 0.00025751072961373387, | |
| "loss": 0.2356, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "learning_rate": 0.0002682403433476395, | |
| "loss": 0.1691, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "learning_rate": 0.00027896995708154504, | |
| "loss": 0.1779, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "learning_rate": 0.00028969957081545066, | |
| "loss": 0.242, | |
| "step": 135 | |
| }, | |
| { | |
| "epoch": 1.49, | |
| "learning_rate": 0.00030042918454935627, | |
| "loss": 0.4023, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "learning_rate": 0.00031115879828326183, | |
| "loss": 0.2509, | |
| "step": 145 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "learning_rate": 0.0003218884120171674, | |
| "loss": 0.4505, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 1.65, | |
| "learning_rate": 0.00033261802575107295, | |
| "loss": 0.2701, | |
| "step": 155 | |
| }, | |
| { | |
| "epoch": 1.71, | |
| "learning_rate": 0.00034334763948497857, | |
| "loss": 0.2335, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 1.76, | |
| "learning_rate": 0.0003540772532188841, | |
| "loss": 0.2924, | |
| "step": 165 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "learning_rate": 0.0003648068669527897, | |
| "loss": 0.2749, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "learning_rate": 0.00037553648068669525, | |
| "loss": 0.4105, | |
| "step": 175 | |
| }, | |
| { | |
| "epoch": 1.92, | |
| "learning_rate": 0.00038626609442060086, | |
| "loss": 0.4208, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "learning_rate": 0.0003969957081545064, | |
| "loss": 0.3817, | |
| "step": 185 | |
| }, | |
| { | |
| "epoch": 1.99, | |
| "eval_accuracy": 0.9182724252491694, | |
| "eval_loss": 0.210577130317688, | |
| "eval_runtime": 194.2162, | |
| "eval_samples_per_second": 23.247, | |
| "eval_steps_per_second": 1.457, | |
| "step": 187 | |
| }, | |
| { | |
| "epoch": 2.03, | |
| "learning_rate": 0.00040772532188841203, | |
| "loss": 0.457, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 2.08, | |
| "learning_rate": 0.00041845493562231765, | |
| "loss": 0.2274, | |
| "step": 195 | |
| }, | |
| { | |
| "epoch": 2.13, | |
| "learning_rate": 0.0004291845493562232, | |
| "loss": 0.192, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 2.19, | |
| "learning_rate": 0.00043991416309012877, | |
| "loss": 0.344, | |
| "step": 205 | |
| }, | |
| { | |
| "epoch": 2.24, | |
| "learning_rate": 0.0004506437768240343, | |
| "loss": 0.227, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 2.29, | |
| "learning_rate": 0.00046137339055793994, | |
| "loss": 0.4637, | |
| "step": 215 | |
| }, | |
| { | |
| "epoch": 2.35, | |
| "learning_rate": 0.0004721030042918455, | |
| "loss": 0.2279, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 2.4, | |
| "learning_rate": 0.00048283261802575106, | |
| "loss": 0.2592, | |
| "step": 225 | |
| }, | |
| { | |
| "epoch": 2.45, | |
| "learning_rate": 0.0004935622317596566, | |
| "loss": 0.1698, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 2.51, | |
| "learning_rate": 0.0004956896551724138, | |
| "loss": 0.3807, | |
| "step": 235 | |
| }, | |
| { | |
| "epoch": 2.56, | |
| "learning_rate": 0.0004849137931034483, | |
| "loss": 0.4219, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 2.61, | |
| "learning_rate": 0.00047413793103448276, | |
| "loss": 0.1977, | |
| "step": 245 | |
| }, | |
| { | |
| "epoch": 2.67, | |
| "learning_rate": 0.00046336206896551726, | |
| "loss": 0.162, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 2.72, | |
| "learning_rate": 0.0004525862068965517, | |
| "loss": 0.2464, | |
| "step": 255 | |
| }, | |
| { | |
| "epoch": 2.77, | |
| "learning_rate": 0.0004418103448275862, | |
| "loss": 0.554, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 2.83, | |
| "learning_rate": 0.0004310344827586207, | |
| "loss": 0.4732, | |
| "step": 265 | |
| }, | |
| { | |
| "epoch": 2.88, | |
| "learning_rate": 0.0004202586206896552, | |
| "loss": 0.3694, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 2.93, | |
| "learning_rate": 0.00040948275862068967, | |
| "loss": 0.2819, | |
| "step": 275 | |
| }, | |
| { | |
| "epoch": 2.99, | |
| "learning_rate": 0.00039870689655172416, | |
| "loss": 0.2217, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.9284606866002215, | |
| "eval_loss": 0.190183624625206, | |
| "eval_runtime": 193.8722, | |
| "eval_samples_per_second": 23.289, | |
| "eval_steps_per_second": 1.46, | |
| "step": 281 | |
| }, | |
| { | |
| "epoch": 3.04, | |
| "learning_rate": 0.0003879310344827586, | |
| "loss": 0.192, | |
| "step": 285 | |
| }, | |
| { | |
| "epoch": 3.09, | |
| "learning_rate": 0.0003771551724137931, | |
| "loss": 0.2674, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 3.15, | |
| "learning_rate": 0.0003663793103448276, | |
| "loss": 0.2207, | |
| "step": 295 | |
| }, | |
| { | |
| "epoch": 3.2, | |
| "learning_rate": 0.00035560344827586203, | |
| "loss": 0.2125, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 3.25, | |
| "learning_rate": 0.0003448275862068966, | |
| "loss": 0.2431, | |
| "step": 305 | |
| }, | |
| { | |
| "epoch": 3.31, | |
| "learning_rate": 0.0003340517241379311, | |
| "loss": 0.1755, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 3.36, | |
| "learning_rate": 0.0003232758620689655, | |
| "loss": 0.1636, | |
| "step": 315 | |
| }, | |
| { | |
| "epoch": 3.41, | |
| "learning_rate": 0.0003125, | |
| "loss": 0.1787, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 3.47, | |
| "learning_rate": 0.0003017241379310345, | |
| "loss": 0.2748, | |
| "step": 325 | |
| }, | |
| { | |
| "epoch": 3.52, | |
| "learning_rate": 0.00029094827586206894, | |
| "loss": 0.315, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 3.57, | |
| "learning_rate": 0.00028017241379310343, | |
| "loss": 0.1869, | |
| "step": 335 | |
| }, | |
| { | |
| "epoch": 3.63, | |
| "learning_rate": 0.000269396551724138, | |
| "loss": 0.1631, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 3.68, | |
| "learning_rate": 0.0002586206896551724, | |
| "loss": 0.1704, | |
| "step": 345 | |
| }, | |
| { | |
| "epoch": 3.73, | |
| "learning_rate": 0.0002478448275862069, | |
| "loss": 0.1518, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 3.79, | |
| "learning_rate": 0.00023706896551724138, | |
| "loss": 0.0793, | |
| "step": 355 | |
| }, | |
| { | |
| "epoch": 3.84, | |
| "learning_rate": 0.00022629310344827585, | |
| "loss": 0.1535, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 3.89, | |
| "learning_rate": 0.00021551724137931034, | |
| "loss": 0.1496, | |
| "step": 365 | |
| }, | |
| { | |
| "epoch": 3.95, | |
| "learning_rate": 0.00020474137931034484, | |
| "loss": 0.2077, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 0.0001939655172413793, | |
| "loss": 0.1667, | |
| "step": 375 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9583610188261351, | |
| "eval_loss": 0.11267491430044174, | |
| "eval_runtime": 193.9805, | |
| "eval_samples_per_second": 23.276, | |
| "eval_steps_per_second": 1.459, | |
| "step": 375 | |
| }, | |
| { | |
| "epoch": 4.05, | |
| "learning_rate": 0.0001831896551724138, | |
| "loss": 0.1267, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 4.11, | |
| "learning_rate": 0.0001724137931034483, | |
| "loss": 0.1083, | |
| "step": 385 | |
| }, | |
| { | |
| "epoch": 4.16, | |
| "learning_rate": 0.00016163793103448276, | |
| "loss": 0.1441, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 4.21, | |
| "learning_rate": 0.00015086206896551725, | |
| "loss": 0.1187, | |
| "step": 395 | |
| }, | |
| { | |
| "epoch": 4.27, | |
| "learning_rate": 0.00014008620689655172, | |
| "loss": 0.1174, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 4.32, | |
| "learning_rate": 0.0001293103448275862, | |
| "loss": 0.0663, | |
| "step": 405 | |
| }, | |
| { | |
| "epoch": 4.37, | |
| "learning_rate": 0.00011853448275862069, | |
| "loss": 0.075, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 4.43, | |
| "learning_rate": 0.00010775862068965517, | |
| "loss": 0.1271, | |
| "step": 415 | |
| }, | |
| { | |
| "epoch": 4.48, | |
| "learning_rate": 9.698275862068965e-05, | |
| "loss": 0.1644, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 4.53, | |
| "learning_rate": 8.620689655172414e-05, | |
| "loss": 0.1401, | |
| "step": 425 | |
| }, | |
| { | |
| "epoch": 4.59, | |
| "learning_rate": 7.543103448275863e-05, | |
| "loss": 0.12, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 4.64, | |
| "learning_rate": 6.46551724137931e-05, | |
| "loss": 0.1086, | |
| "step": 435 | |
| }, | |
| { | |
| "epoch": 4.69, | |
| "learning_rate": 5.3879310344827585e-05, | |
| "loss": 0.1067, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 4.75, | |
| "learning_rate": 4.310344827586207e-05, | |
| "loss": 0.0789, | |
| "step": 445 | |
| }, | |
| { | |
| "epoch": 4.8, | |
| "learning_rate": 3.232758620689655e-05, | |
| "loss": 0.0696, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 4.85, | |
| "learning_rate": 2.1551724137931036e-05, | |
| "loss": 0.0584, | |
| "step": 455 | |
| }, | |
| { | |
| "epoch": 4.91, | |
| "learning_rate": 1.0775862068965518e-05, | |
| "loss": 0.1217, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 4.96, | |
| "learning_rate": 0.0, | |
| "loss": 0.0572, | |
| "step": 465 | |
| }, | |
| { | |
| "epoch": 4.96, | |
| "eval_accuracy": 0.9805094130675526, | |
| "eval_loss": 0.04738219827413559, | |
| "eval_runtime": 193.9079, | |
| "eval_samples_per_second": 23.284, | |
| "eval_steps_per_second": 1.459, | |
| "step": 465 | |
| }, | |
| { | |
| "epoch": 4.96, | |
| "step": 465, | |
| "total_flos": 8.138660625246413e+18, | |
| "train_loss": 0.23329446437538312, | |
| "train_runtime": 4933.7001, | |
| "train_samples_per_second": 6.065, | |
| "train_steps_per_second": 0.094 | |
| } | |
| ], | |
| "max_steps": 465, | |
| "num_train_epochs": 5, | |
| "total_flos": 8.138660625246413e+18, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |