Image Classification
Transformers
Safetensors
mobilevit
knowledge_distillation
vision
Generated from Trainer
Instructions to use c14kevincardenas/mobilevit-small_alpha0.5_temp3.0_t3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use c14kevincardenas/mobilevit-small_alpha0.5_temp3.0_t3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="c14kevincardenas/mobilevit-small_alpha0.5_temp3.0_t3") 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("c14kevincardenas/mobilevit-small_alpha0.5_temp3.0_t3") model = AutoModelForImageClassification.from_pretrained("c14kevincardenas/mobilevit-small_alpha0.5_temp3.0_t3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": 0.8562042713165283, | |
| "best_model_checkpoint": "./kd_results/apple/mobilevit-small_alpha0.5_temp3.0_t3/checkpoint-2788", | |
| "epoch": 20.0, | |
| "eval_steps": 500, | |
| "global_step": 3280, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.1524390243902439, | |
| "grad_norm": 7.762810707092285, | |
| "learning_rate": 3.8109756097560976e-06, | |
| "loss": 0.9874, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.3048780487804878, | |
| "grad_norm": 2.2041540145874023, | |
| "learning_rate": 7.621951219512195e-06, | |
| "loss": 0.8291, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.4573170731707317, | |
| "grad_norm": 2.862013101577759, | |
| "learning_rate": 1.1432926829268294e-05, | |
| "loss": 0.809, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 0.6097560975609756, | |
| "grad_norm": 3.8926451206207275, | |
| "learning_rate": 1.524390243902439e-05, | |
| "loss": 0.8056, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.7621951219512195, | |
| "grad_norm": 3.9026598930358887, | |
| "learning_rate": 1.9054878048780488e-05, | |
| "loss": 0.8081, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 0.9146341463414634, | |
| "grad_norm": 2.8420770168304443, | |
| "learning_rate": 2.286585365853659e-05, | |
| "loss": 0.8034, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.28633405639913234, | |
| "eval_loss": 1.3824383020401, | |
| "eval_runtime": 40.4477, | |
| "eval_samples_per_second": 22.795, | |
| "eval_steps_per_second": 0.717, | |
| "step": 164 | |
| }, | |
| { | |
| "epoch": 1.0670731707317074, | |
| "grad_norm": 2.4602479934692383, | |
| "learning_rate": 2.6676829268292686e-05, | |
| "loss": 0.8053, | |
| "step": 175 | |
| }, | |
| { | |
| "epoch": 1.2195121951219512, | |
| "grad_norm": 2.140545606613159, | |
| "learning_rate": 3.048780487804878e-05, | |
| "loss": 0.7981, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 1.3719512195121952, | |
| "grad_norm": 4.539191246032715, | |
| "learning_rate": 3.429878048780488e-05, | |
| "loss": 0.795, | |
| "step": 225 | |
| }, | |
| { | |
| "epoch": 1.524390243902439, | |
| "grad_norm": 3.07138729095459, | |
| "learning_rate": 3.8109756097560976e-05, | |
| "loss": 0.8012, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 1.6768292682926829, | |
| "grad_norm": 2.5887339115142822, | |
| "learning_rate": 4.1920731707317077e-05, | |
| "loss": 0.7953, | |
| "step": 275 | |
| }, | |
| { | |
| "epoch": 1.8292682926829267, | |
| "grad_norm": 4.393621444702148, | |
| "learning_rate": 4.573170731707318e-05, | |
| "loss": 0.772, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 1.9817073170731707, | |
| "grad_norm": 1.1688978672027588, | |
| "learning_rate": 4.954268292682927e-05, | |
| "loss": 0.7605, | |
| "step": 325 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.2917570498915401, | |
| "eval_loss": 1.3373875617980957, | |
| "eval_runtime": 40.6346, | |
| "eval_samples_per_second": 22.69, | |
| "eval_steps_per_second": 0.714, | |
| "step": 328 | |
| }, | |
| { | |
| "epoch": 2.1341463414634148, | |
| "grad_norm": 1.0945930480957031, | |
| "learning_rate": 4.962737127371274e-05, | |
| "loss": 0.7616, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 2.2865853658536586, | |
| "grad_norm": 2.745100259780884, | |
| "learning_rate": 4.92039295392954e-05, | |
| "loss": 0.7438, | |
| "step": 375 | |
| }, | |
| { | |
| "epoch": 2.4390243902439024, | |
| "grad_norm": 5.273860454559326, | |
| "learning_rate": 4.878048780487805e-05, | |
| "loss": 0.7124, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 2.591463414634146, | |
| "grad_norm": 5.696925640106201, | |
| "learning_rate": 4.8357046070460704e-05, | |
| "loss": 0.7182, | |
| "step": 425 | |
| }, | |
| { | |
| "epoch": 2.7439024390243905, | |
| "grad_norm": 5.35153865814209, | |
| "learning_rate": 4.793360433604336e-05, | |
| "loss": 0.7061, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 2.8963414634146343, | |
| "grad_norm": 4.60999059677124, | |
| "learning_rate": 4.7510162601626016e-05, | |
| "loss": 0.6903, | |
| "step": 475 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.5151843817787418, | |
| "eval_loss": 1.140594720840454, | |
| "eval_runtime": 40.2587, | |
| "eval_samples_per_second": 22.902, | |
| "eval_steps_per_second": 0.72, | |
| "step": 492 | |
| }, | |
| { | |
| "epoch": 3.048780487804878, | |
| "grad_norm": 5.811767578125, | |
| "learning_rate": 4.7086720867208675e-05, | |
| "loss": 0.6817, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 3.201219512195122, | |
| "grad_norm": 4.599453449249268, | |
| "learning_rate": 4.6663279132791334e-05, | |
| "loss": 0.6679, | |
| "step": 525 | |
| }, | |
| { | |
| "epoch": 3.3536585365853657, | |
| "grad_norm": 6.098621368408203, | |
| "learning_rate": 4.6239837398373986e-05, | |
| "loss": 0.6385, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 3.5060975609756095, | |
| "grad_norm": 6.299458026885986, | |
| "learning_rate": 4.581639566395664e-05, | |
| "loss": 0.6364, | |
| "step": 575 | |
| }, | |
| { | |
| "epoch": 3.658536585365854, | |
| "grad_norm": 3.688998222351074, | |
| "learning_rate": 4.53929539295393e-05, | |
| "loss": 0.6396, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 3.8109756097560976, | |
| "grad_norm": 5.4493727684021, | |
| "learning_rate": 4.496951219512196e-05, | |
| "loss": 0.6175, | |
| "step": 625 | |
| }, | |
| { | |
| "epoch": 3.9634146341463414, | |
| "grad_norm": 6.126657485961914, | |
| "learning_rate": 4.454607046070461e-05, | |
| "loss": 0.6045, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.5629067245119306, | |
| "eval_loss": 1.0571489334106445, | |
| "eval_runtime": 40.0524, | |
| "eval_samples_per_second": 23.02, | |
| "eval_steps_per_second": 0.724, | |
| "step": 656 | |
| }, | |
| { | |
| "epoch": 4.115853658536586, | |
| "grad_norm": 8.532530784606934, | |
| "learning_rate": 4.412262872628726e-05, | |
| "loss": 0.6161, | |
| "step": 675 | |
| }, | |
| { | |
| "epoch": 4.2682926829268295, | |
| "grad_norm": 3.7659671306610107, | |
| "learning_rate": 4.369918699186992e-05, | |
| "loss": 0.603, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 4.420731707317073, | |
| "grad_norm": 2.876420736312866, | |
| "learning_rate": 4.3275745257452574e-05, | |
| "loss": 0.5798, | |
| "step": 725 | |
| }, | |
| { | |
| "epoch": 4.573170731707317, | |
| "grad_norm": 7.7819013595581055, | |
| "learning_rate": 4.285230352303523e-05, | |
| "loss": 0.5904, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 4.725609756097561, | |
| "grad_norm": 5.8853678703308105, | |
| "learning_rate": 4.242886178861789e-05, | |
| "loss": 0.573, | |
| "step": 775 | |
| }, | |
| { | |
| "epoch": 4.878048780487805, | |
| "grad_norm": 6.983067989349365, | |
| "learning_rate": 4.2005420054200545e-05, | |
| "loss": 0.5779, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.5813449023861171, | |
| "eval_loss": 1.022658348083496, | |
| "eval_runtime": 40.4951, | |
| "eval_samples_per_second": 22.768, | |
| "eval_steps_per_second": 0.716, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 5.030487804878049, | |
| "grad_norm": 7.891158103942871, | |
| "learning_rate": 4.15819783197832e-05, | |
| "loss": 0.5842, | |
| "step": 825 | |
| }, | |
| { | |
| "epoch": 5.182926829268292, | |
| "grad_norm": 4.526270389556885, | |
| "learning_rate": 4.1158536585365856e-05, | |
| "loss": 0.55, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 5.335365853658536, | |
| "grad_norm": 3.818694591522217, | |
| "learning_rate": 4.0735094850948516e-05, | |
| "loss": 0.5396, | |
| "step": 875 | |
| }, | |
| { | |
| "epoch": 5.487804878048781, | |
| "grad_norm": 2.55497670173645, | |
| "learning_rate": 4.031165311653117e-05, | |
| "loss": 0.554, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 5.640243902439025, | |
| "grad_norm": 5.239187717437744, | |
| "learning_rate": 3.988821138211382e-05, | |
| "loss": 0.5413, | |
| "step": 925 | |
| }, | |
| { | |
| "epoch": 5.7926829268292686, | |
| "grad_norm": 3.5609655380249023, | |
| "learning_rate": 3.946476964769648e-05, | |
| "loss": 0.5388, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 5.945121951219512, | |
| "grad_norm": 2.538914918899536, | |
| "learning_rate": 3.904132791327913e-05, | |
| "loss": 0.5423, | |
| "step": 975 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.6334056399132321, | |
| "eval_loss": 0.9594108462333679, | |
| "eval_runtime": 39.996, | |
| "eval_samples_per_second": 23.052, | |
| "eval_steps_per_second": 0.725, | |
| "step": 984 | |
| }, | |
| { | |
| "epoch": 6.097560975609756, | |
| "grad_norm": 9.002790451049805, | |
| "learning_rate": 3.861788617886179e-05, | |
| "loss": 0.5333, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 6.25, | |
| "grad_norm": 2.795607805252075, | |
| "learning_rate": 3.8194444444444444e-05, | |
| "loss": 0.5304, | |
| "step": 1025 | |
| }, | |
| { | |
| "epoch": 6.402439024390244, | |
| "grad_norm": 3.0136711597442627, | |
| "learning_rate": 3.77710027100271e-05, | |
| "loss": 0.5338, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 6.554878048780488, | |
| "grad_norm": 4.359175205230713, | |
| "learning_rate": 3.7347560975609755e-05, | |
| "loss": 0.5213, | |
| "step": 1075 | |
| }, | |
| { | |
| "epoch": 6.7073170731707314, | |
| "grad_norm": 5.616451740264893, | |
| "learning_rate": 3.6924119241192415e-05, | |
| "loss": 0.5211, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 6.859756097560975, | |
| "grad_norm": 3.337740659713745, | |
| "learning_rate": 3.6500677506775074e-05, | |
| "loss": 0.5154, | |
| "step": 1125 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.6518438177874186, | |
| "eval_loss": 0.9497526288032532, | |
| "eval_runtime": 40.4853, | |
| "eval_samples_per_second": 22.774, | |
| "eval_steps_per_second": 0.716, | |
| "step": 1148 | |
| }, | |
| { | |
| "epoch": 7.012195121951219, | |
| "grad_norm": 3.785557746887207, | |
| "learning_rate": 3.6077235772357726e-05, | |
| "loss": 0.5004, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 7.164634146341464, | |
| "grad_norm": 4.928786277770996, | |
| "learning_rate": 3.565379403794038e-05, | |
| "loss": 0.5024, | |
| "step": 1175 | |
| }, | |
| { | |
| "epoch": 7.317073170731708, | |
| "grad_norm": 3.090078353881836, | |
| "learning_rate": 3.523035230352303e-05, | |
| "loss": 0.4839, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 7.469512195121951, | |
| "grad_norm": 6.933969020843506, | |
| "learning_rate": 3.48069105691057e-05, | |
| "loss": 0.4764, | |
| "step": 1225 | |
| }, | |
| { | |
| "epoch": 7.621951219512195, | |
| "grad_norm": 6.955783367156982, | |
| "learning_rate": 3.438346883468835e-05, | |
| "loss": 0.5134, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 7.774390243902439, | |
| "grad_norm": 4.848341941833496, | |
| "learning_rate": 3.3960027100271e-05, | |
| "loss": 0.5051, | |
| "step": 1275 | |
| }, | |
| { | |
| "epoch": 7.926829268292683, | |
| "grad_norm": 3.339418888092041, | |
| "learning_rate": 3.353658536585366e-05, | |
| "loss": 0.4984, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.675704989154013, | |
| "eval_loss": 0.9110548496246338, | |
| "eval_runtime": 40.3793, | |
| "eval_samples_per_second": 22.833, | |
| "eval_steps_per_second": 0.718, | |
| "step": 1312 | |
| }, | |
| { | |
| "epoch": 8.079268292682928, | |
| "grad_norm": 5.299203395843506, | |
| "learning_rate": 3.3113143631436314e-05, | |
| "loss": 0.4745, | |
| "step": 1325 | |
| }, | |
| { | |
| "epoch": 8.231707317073171, | |
| "grad_norm": 5.381677627563477, | |
| "learning_rate": 3.268970189701897e-05, | |
| "loss": 0.4696, | |
| "step": 1350 | |
| }, | |
| { | |
| "epoch": 8.384146341463415, | |
| "grad_norm": 6.133314609527588, | |
| "learning_rate": 3.226626016260163e-05, | |
| "loss": 0.4876, | |
| "step": 1375 | |
| }, | |
| { | |
| "epoch": 8.536585365853659, | |
| "grad_norm": 3.0064644813537598, | |
| "learning_rate": 3.1842818428184285e-05, | |
| "loss": 0.4581, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 8.689024390243903, | |
| "grad_norm": 3.6373887062072754, | |
| "learning_rate": 3.141937669376694e-05, | |
| "loss": 0.4813, | |
| "step": 1425 | |
| }, | |
| { | |
| "epoch": 8.841463414634147, | |
| "grad_norm": 2.668551206588745, | |
| "learning_rate": 3.0995934959349596e-05, | |
| "loss": 0.4616, | |
| "step": 1450 | |
| }, | |
| { | |
| "epoch": 8.99390243902439, | |
| "grad_norm": 4.62333345413208, | |
| "learning_rate": 3.0572493224932255e-05, | |
| "loss": 0.47, | |
| "step": 1475 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.6518438177874186, | |
| "eval_loss": 0.9155306816101074, | |
| "eval_runtime": 39.9567, | |
| "eval_samples_per_second": 23.075, | |
| "eval_steps_per_second": 0.726, | |
| "step": 1476 | |
| }, | |
| { | |
| "epoch": 9.146341463414634, | |
| "grad_norm": 4.4853434562683105, | |
| "learning_rate": 3.0149051490514908e-05, | |
| "loss": 0.4618, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 9.298780487804878, | |
| "grad_norm": 3.469381332397461, | |
| "learning_rate": 2.972560975609756e-05, | |
| "loss": 0.4687, | |
| "step": 1525 | |
| }, | |
| { | |
| "epoch": 9.451219512195122, | |
| "grad_norm": 5.934073448181152, | |
| "learning_rate": 2.930216802168022e-05, | |
| "loss": 0.4563, | |
| "step": 1550 | |
| }, | |
| { | |
| "epoch": 9.603658536585366, | |
| "grad_norm": 3.998873472213745, | |
| "learning_rate": 2.8878726287262875e-05, | |
| "loss": 0.4502, | |
| "step": 1575 | |
| }, | |
| { | |
| "epoch": 9.75609756097561, | |
| "grad_norm": 5.720112323760986, | |
| "learning_rate": 2.8455284552845528e-05, | |
| "loss": 0.4633, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 9.908536585365853, | |
| "grad_norm": 2.881168842315674, | |
| "learning_rate": 2.8031842818428184e-05, | |
| "loss": 0.4474, | |
| "step": 1625 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.6518438177874186, | |
| "eval_loss": 0.9252634644508362, | |
| "eval_runtime": 39.6703, | |
| "eval_samples_per_second": 23.242, | |
| "eval_steps_per_second": 0.731, | |
| "step": 1640 | |
| }, | |
| { | |
| "epoch": 10.060975609756097, | |
| "grad_norm": 4.207843780517578, | |
| "learning_rate": 2.7608401084010843e-05, | |
| "loss": 0.4542, | |
| "step": 1650 | |
| }, | |
| { | |
| "epoch": 10.213414634146341, | |
| "grad_norm": 3.44258713722229, | |
| "learning_rate": 2.71849593495935e-05, | |
| "loss": 0.4369, | |
| "step": 1675 | |
| }, | |
| { | |
| "epoch": 10.365853658536585, | |
| "grad_norm": 6.224090099334717, | |
| "learning_rate": 2.676151761517615e-05, | |
| "loss": 0.4532, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 10.518292682926829, | |
| "grad_norm": 2.638032913208008, | |
| "learning_rate": 2.633807588075881e-05, | |
| "loss": 0.4424, | |
| "step": 1725 | |
| }, | |
| { | |
| "epoch": 10.670731707317072, | |
| "grad_norm": 2.48111629486084, | |
| "learning_rate": 2.5914634146341466e-05, | |
| "loss": 0.4279, | |
| "step": 1750 | |
| }, | |
| { | |
| "epoch": 10.823170731707316, | |
| "grad_norm": 4.390626907348633, | |
| "learning_rate": 2.549119241192412e-05, | |
| "loss": 0.448, | |
| "step": 1775 | |
| }, | |
| { | |
| "epoch": 10.975609756097562, | |
| "grad_norm": 4.277877330780029, | |
| "learning_rate": 2.5067750677506774e-05, | |
| "loss": 0.4547, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.6561822125813449, | |
| "eval_loss": 0.9355393648147583, | |
| "eval_runtime": 40.5434, | |
| "eval_samples_per_second": 22.741, | |
| "eval_steps_per_second": 0.715, | |
| "step": 1804 | |
| }, | |
| { | |
| "epoch": 11.128048780487806, | |
| "grad_norm": 6.439655303955078, | |
| "learning_rate": 2.464430894308943e-05, | |
| "loss": 0.4528, | |
| "step": 1825 | |
| }, | |
| { | |
| "epoch": 11.28048780487805, | |
| "grad_norm": 3.8702235221862793, | |
| "learning_rate": 2.422086720867209e-05, | |
| "loss": 0.4277, | |
| "step": 1850 | |
| }, | |
| { | |
| "epoch": 11.432926829268293, | |
| "grad_norm": 6.396579265594482, | |
| "learning_rate": 2.3797425474254745e-05, | |
| "loss": 0.4298, | |
| "step": 1875 | |
| }, | |
| { | |
| "epoch": 11.585365853658537, | |
| "grad_norm": 6.784517765045166, | |
| "learning_rate": 2.3373983739837398e-05, | |
| "loss": 0.4293, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 11.737804878048781, | |
| "grad_norm": 3.7410504817962646, | |
| "learning_rate": 2.2950542005420057e-05, | |
| "loss": 0.4379, | |
| "step": 1925 | |
| }, | |
| { | |
| "epoch": 11.890243902439025, | |
| "grad_norm": 6.854469299316406, | |
| "learning_rate": 2.252710027100271e-05, | |
| "loss": 0.4432, | |
| "step": 1950 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.6648590021691974, | |
| "eval_loss": 0.8717988729476929, | |
| "eval_runtime": 40.6359, | |
| "eval_samples_per_second": 22.689, | |
| "eval_steps_per_second": 0.714, | |
| "step": 1968 | |
| }, | |
| { | |
| "epoch": 12.042682926829269, | |
| "grad_norm": 4.439425468444824, | |
| "learning_rate": 2.210365853658537e-05, | |
| "loss": 0.447, | |
| "step": 1975 | |
| }, | |
| { | |
| "epoch": 12.195121951219512, | |
| "grad_norm": 1.7574331760406494, | |
| "learning_rate": 2.1680216802168024e-05, | |
| "loss": 0.4109, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 12.347560975609756, | |
| "grad_norm": 5.339428901672363, | |
| "learning_rate": 2.1256775067750677e-05, | |
| "loss": 0.4288, | |
| "step": 2025 | |
| }, | |
| { | |
| "epoch": 12.5, | |
| "grad_norm": 2.4824461936950684, | |
| "learning_rate": 2.0833333333333336e-05, | |
| "loss": 0.4298, | |
| "step": 2050 | |
| }, | |
| { | |
| "epoch": 12.652439024390244, | |
| "grad_norm": 2.4411211013793945, | |
| "learning_rate": 2.040989159891599e-05, | |
| "loss": 0.4265, | |
| "step": 2075 | |
| }, | |
| { | |
| "epoch": 12.804878048780488, | |
| "grad_norm": 6.373781204223633, | |
| "learning_rate": 1.9986449864498648e-05, | |
| "loss": 0.422, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 12.957317073170731, | |
| "grad_norm": 3.202080011367798, | |
| "learning_rate": 1.95630081300813e-05, | |
| "loss": 0.4235, | |
| "step": 2125 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.7039045553145337, | |
| "eval_loss": 0.8762956857681274, | |
| "eval_runtime": 40.5234, | |
| "eval_samples_per_second": 22.752, | |
| "eval_steps_per_second": 0.716, | |
| "step": 2132 | |
| }, | |
| { | |
| "epoch": 13.109756097560975, | |
| "grad_norm": 3.008108615875244, | |
| "learning_rate": 1.9139566395663956e-05, | |
| "loss": 0.424, | |
| "step": 2150 | |
| }, | |
| { | |
| "epoch": 13.262195121951219, | |
| "grad_norm": 3.0317177772521973, | |
| "learning_rate": 1.8716124661246615e-05, | |
| "loss": 0.4246, | |
| "step": 2175 | |
| }, | |
| { | |
| "epoch": 13.414634146341463, | |
| "grad_norm": 2.7585787773132324, | |
| "learning_rate": 1.8292682926829268e-05, | |
| "loss": 0.4132, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 13.567073170731707, | |
| "grad_norm": 3.0039117336273193, | |
| "learning_rate": 1.7869241192411927e-05, | |
| "loss": 0.4076, | |
| "step": 2225 | |
| }, | |
| { | |
| "epoch": 13.71951219512195, | |
| "grad_norm": 5.297887325286865, | |
| "learning_rate": 1.744579945799458e-05, | |
| "loss": 0.4, | |
| "step": 2250 | |
| }, | |
| { | |
| "epoch": 13.871951219512194, | |
| "grad_norm": 3.2223308086395264, | |
| "learning_rate": 1.702235772357724e-05, | |
| "loss": 0.419, | |
| "step": 2275 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy": 0.6865509761388287, | |
| "eval_loss": 0.8877863883972168, | |
| "eval_runtime": 40.0927, | |
| "eval_samples_per_second": 22.997, | |
| "eval_steps_per_second": 0.723, | |
| "step": 2296 | |
| }, | |
| { | |
| "epoch": 14.024390243902438, | |
| "grad_norm": 5.251517295837402, | |
| "learning_rate": 1.659891598915989e-05, | |
| "loss": 0.4151, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 14.176829268292684, | |
| "grad_norm": 5.841452598571777, | |
| "learning_rate": 1.6175474254742547e-05, | |
| "loss": 0.409, | |
| "step": 2325 | |
| }, | |
| { | |
| "epoch": 14.329268292682928, | |
| "grad_norm": 4.45047664642334, | |
| "learning_rate": 1.5752032520325206e-05, | |
| "loss": 0.4073, | |
| "step": 2350 | |
| }, | |
| { | |
| "epoch": 14.481707317073171, | |
| "grad_norm": 2.3922412395477295, | |
| "learning_rate": 1.532859078590786e-05, | |
| "loss": 0.4017, | |
| "step": 2375 | |
| }, | |
| { | |
| "epoch": 14.634146341463415, | |
| "grad_norm": 4.807758331298828, | |
| "learning_rate": 1.4905149051490516e-05, | |
| "loss": 0.4107, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 14.786585365853659, | |
| "grad_norm": 2.9783949851989746, | |
| "learning_rate": 1.448170731707317e-05, | |
| "loss": 0.4122, | |
| "step": 2425 | |
| }, | |
| { | |
| "epoch": 14.939024390243903, | |
| "grad_norm": 2.8491086959838867, | |
| "learning_rate": 1.4058265582655828e-05, | |
| "loss": 0.4083, | |
| "step": 2450 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy": 0.6898047722342733, | |
| "eval_loss": 0.886920154094696, | |
| "eval_runtime": 39.9853, | |
| "eval_samples_per_second": 23.058, | |
| "eval_steps_per_second": 0.725, | |
| "step": 2460 | |
| }, | |
| { | |
| "epoch": 15.091463414634147, | |
| "grad_norm": 5.6329665184021, | |
| "learning_rate": 1.3634823848238485e-05, | |
| "loss": 0.393, | |
| "step": 2475 | |
| }, | |
| { | |
| "epoch": 15.24390243902439, | |
| "grad_norm": 4.589029312133789, | |
| "learning_rate": 1.321138211382114e-05, | |
| "loss": 0.4068, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 15.396341463414634, | |
| "grad_norm": 1.9374419450759888, | |
| "learning_rate": 1.2787940379403795e-05, | |
| "loss": 0.4077, | |
| "step": 2525 | |
| }, | |
| { | |
| "epoch": 15.548780487804878, | |
| "grad_norm": 3.12813401222229, | |
| "learning_rate": 1.2364498644986451e-05, | |
| "loss": 0.3932, | |
| "step": 2550 | |
| }, | |
| { | |
| "epoch": 15.701219512195122, | |
| "grad_norm": 4.135628700256348, | |
| "learning_rate": 1.1941056910569107e-05, | |
| "loss": 0.4048, | |
| "step": 2575 | |
| }, | |
| { | |
| "epoch": 15.853658536585366, | |
| "grad_norm": 2.268238067626953, | |
| "learning_rate": 1.1517615176151763e-05, | |
| "loss": 0.4043, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.6984815618221258, | |
| "eval_loss": 0.8697348237037659, | |
| "eval_runtime": 40.2898, | |
| "eval_samples_per_second": 22.884, | |
| "eval_steps_per_second": 0.72, | |
| "step": 2624 | |
| }, | |
| { | |
| "epoch": 16.00609756097561, | |
| "grad_norm": 3.1583592891693115, | |
| "learning_rate": 1.1094173441734418e-05, | |
| "loss": 0.4083, | |
| "step": 2625 | |
| }, | |
| { | |
| "epoch": 16.158536585365855, | |
| "grad_norm": 3.8587262630462646, | |
| "learning_rate": 1.0670731707317074e-05, | |
| "loss": 0.3955, | |
| "step": 2650 | |
| }, | |
| { | |
| "epoch": 16.3109756097561, | |
| "grad_norm": 6.293887615203857, | |
| "learning_rate": 1.0247289972899728e-05, | |
| "loss": 0.3932, | |
| "step": 2675 | |
| }, | |
| { | |
| "epoch": 16.463414634146343, | |
| "grad_norm": 4.263759613037109, | |
| "learning_rate": 9.823848238482384e-06, | |
| "loss": 0.3929, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 16.615853658536587, | |
| "grad_norm": 2.30064058303833, | |
| "learning_rate": 9.400406504065042e-06, | |
| "loss": 0.4003, | |
| "step": 2725 | |
| }, | |
| { | |
| "epoch": 16.76829268292683, | |
| "grad_norm": 4.408405303955078, | |
| "learning_rate": 8.976964769647697e-06, | |
| "loss": 0.3919, | |
| "step": 2750 | |
| }, | |
| { | |
| "epoch": 16.920731707317074, | |
| "grad_norm": 4.191670894622803, | |
| "learning_rate": 8.553523035230353e-06, | |
| "loss": 0.4061, | |
| "step": 2775 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_accuracy": 0.7071583514099783, | |
| "eval_loss": 0.8562042713165283, | |
| "eval_runtime": 40.0276, | |
| "eval_samples_per_second": 23.034, | |
| "eval_steps_per_second": 0.724, | |
| "step": 2788 | |
| }, | |
| { | |
| "epoch": 17.073170731707318, | |
| "grad_norm": 2.7028963565826416, | |
| "learning_rate": 8.130081300813009e-06, | |
| "loss": 0.3994, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 17.225609756097562, | |
| "grad_norm": 2.178621530532837, | |
| "learning_rate": 7.706639566395663e-06, | |
| "loss": 0.3833, | |
| "step": 2825 | |
| }, | |
| { | |
| "epoch": 17.378048780487806, | |
| "grad_norm": 1.921392560005188, | |
| "learning_rate": 7.283197831978319e-06, | |
| "loss": 0.4023, | |
| "step": 2850 | |
| }, | |
| { | |
| "epoch": 17.53048780487805, | |
| "grad_norm": 3.9117579460144043, | |
| "learning_rate": 6.859756097560977e-06, | |
| "loss": 0.3991, | |
| "step": 2875 | |
| }, | |
| { | |
| "epoch": 17.682926829268293, | |
| "grad_norm": 1.6043190956115723, | |
| "learning_rate": 6.4363143631436324e-06, | |
| "loss": 0.3924, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 17.835365853658537, | |
| "grad_norm": 2.8831610679626465, | |
| "learning_rate": 6.0128726287262874e-06, | |
| "loss": 0.3837, | |
| "step": 2925 | |
| }, | |
| { | |
| "epoch": 17.98780487804878, | |
| "grad_norm": 2.4830398559570312, | |
| "learning_rate": 5.589430894308943e-06, | |
| "loss": 0.389, | |
| "step": 2950 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_accuracy": 0.7082429501084598, | |
| "eval_loss": 0.8595220446586609, | |
| "eval_runtime": 41.6687, | |
| "eval_samples_per_second": 22.127, | |
| "eval_steps_per_second": 0.696, | |
| "step": 2952 | |
| }, | |
| { | |
| "epoch": 18.140243902439025, | |
| "grad_norm": 1.9708536863327026, | |
| "learning_rate": 5.165989159891599e-06, | |
| "loss": 0.3896, | |
| "step": 2975 | |
| }, | |
| { | |
| "epoch": 18.29268292682927, | |
| "grad_norm": 4.3860673904418945, | |
| "learning_rate": 4.742547425474255e-06, | |
| "loss": 0.3939, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 18.445121951219512, | |
| "grad_norm": 2.5189573764801025, | |
| "learning_rate": 4.319105691056911e-06, | |
| "loss": 0.3908, | |
| "step": 3025 | |
| }, | |
| { | |
| "epoch": 18.597560975609756, | |
| "grad_norm": 1.8949400186538696, | |
| "learning_rate": 3.8956639566395666e-06, | |
| "loss": 0.3947, | |
| "step": 3050 | |
| }, | |
| { | |
| "epoch": 18.75, | |
| "grad_norm": 2.0496764183044434, | |
| "learning_rate": 3.4722222222222224e-06, | |
| "loss": 0.3837, | |
| "step": 3075 | |
| }, | |
| { | |
| "epoch": 18.902439024390244, | |
| "grad_norm": 3.2844817638397217, | |
| "learning_rate": 3.0487804878048782e-06, | |
| "loss": 0.3982, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_accuracy": 0.6984815618221258, | |
| "eval_loss": 0.8660802841186523, | |
| "eval_runtime": 41.7631, | |
| "eval_samples_per_second": 22.077, | |
| "eval_steps_per_second": 0.694, | |
| "step": 3116 | |
| }, | |
| { | |
| "epoch": 19.054878048780488, | |
| "grad_norm": 2.776163339614868, | |
| "learning_rate": 2.625338753387534e-06, | |
| "loss": 0.3863, | |
| "step": 3125 | |
| }, | |
| { | |
| "epoch": 19.20731707317073, | |
| "grad_norm": 2.2934467792510986, | |
| "learning_rate": 2.2018970189701894e-06, | |
| "loss": 0.394, | |
| "step": 3150 | |
| }, | |
| { | |
| "epoch": 19.359756097560975, | |
| "grad_norm": 1.4411579370498657, | |
| "learning_rate": 1.7784552845528455e-06, | |
| "loss": 0.3908, | |
| "step": 3175 | |
| }, | |
| { | |
| "epoch": 19.51219512195122, | |
| "grad_norm": 1.6821469068527222, | |
| "learning_rate": 1.3550135501355015e-06, | |
| "loss": 0.3844, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 19.664634146341463, | |
| "grad_norm": 3.2860209941864014, | |
| "learning_rate": 9.315718157181572e-07, | |
| "loss": 0.3879, | |
| "step": 3225 | |
| }, | |
| { | |
| "epoch": 19.817073170731707, | |
| "grad_norm": 4.093799591064453, | |
| "learning_rate": 5.081300813008131e-07, | |
| "loss": 0.3852, | |
| "step": 3250 | |
| }, | |
| { | |
| "epoch": 19.96951219512195, | |
| "grad_norm": 1.6917803287506104, | |
| "learning_rate": 8.468834688346885e-08, | |
| "loss": 0.3823, | |
| "step": 3275 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy": 0.7114967462039046, | |
| "eval_loss": 0.8688989281654358, | |
| "eval_runtime": 41.6761, | |
| "eval_samples_per_second": 22.123, | |
| "eval_steps_per_second": 0.696, | |
| "step": 3280 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "step": 3280, | |
| "total_flos": 0.0, | |
| "train_loss": 0.5078278935537106, | |
| "train_runtime": 14435.8806, | |
| "train_samples_per_second": 7.238, | |
| "train_steps_per_second": 0.227 | |
| } | |
| ], | |
| "logging_steps": 25, | |
| "max_steps": 3280, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 20, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 0.0, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |