kevinoli's picture
Training in progress, step 17000, checkpoint
f853496 verified
raw
history blame
14.1 kB
{
"best_metric": 0.7549872398376465,
"best_model_checkpoint": "./output/clip-finetuned-csu-p14-336-e3l17-l/checkpoint-17000",
"epoch": 1.8131399317406145,
"eval_steps": 500,
"global_step": 17000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.05332764505119454,
"grad_norm": 246.1711883544922,
"learning_rate": 9.822241183162683e-08,
"loss": 0.4515,
"step": 500
},
{
"epoch": 0.05332764505119454,
"eval_loss": 1.3850886821746826,
"eval_runtime": 63.8439,
"eval_samples_per_second": 15.46,
"eval_steps_per_second": 1.942,
"step": 500
},
{
"epoch": 0.10665529010238908,
"grad_norm": 81.48503875732422,
"learning_rate": 9.64448236632537e-08,
"loss": 0.4148,
"step": 1000
},
{
"epoch": 0.10665529010238908,
"eval_loss": 1.284144401550293,
"eval_runtime": 63.853,
"eval_samples_per_second": 15.457,
"eval_steps_per_second": 1.942,
"step": 1000
},
{
"epoch": 0.1599829351535836,
"grad_norm": 718.367919921875,
"learning_rate": 9.466723549488054e-08,
"loss": 0.3281,
"step": 1500
},
{
"epoch": 0.1599829351535836,
"eval_loss": 1.2112621068954468,
"eval_runtime": 64.127,
"eval_samples_per_second": 15.391,
"eval_steps_per_second": 1.934,
"step": 1500
},
{
"epoch": 0.21331058020477817,
"grad_norm": 4.5923566818237305,
"learning_rate": 9.288964732650739e-08,
"loss": 0.2912,
"step": 2000
},
{
"epoch": 0.21331058020477817,
"eval_loss": 1.159011960029602,
"eval_runtime": 63.7062,
"eval_samples_per_second": 15.493,
"eval_steps_per_second": 1.946,
"step": 2000
},
{
"epoch": 0.2666382252559727,
"grad_norm": 319.4483642578125,
"learning_rate": 9.111205915813424e-08,
"loss": 0.3073,
"step": 2500
},
{
"epoch": 0.2666382252559727,
"eval_loss": 1.1095446348190308,
"eval_runtime": 63.9925,
"eval_samples_per_second": 15.424,
"eval_steps_per_second": 1.938,
"step": 2500
},
{
"epoch": 0.3199658703071672,
"grad_norm": 0.00027541385497897863,
"learning_rate": 8.933447098976109e-08,
"loss": 0.2446,
"step": 3000
},
{
"epoch": 0.3199658703071672,
"eval_loss": 1.069318175315857,
"eval_runtime": 64.1107,
"eval_samples_per_second": 15.395,
"eval_steps_per_second": 1.934,
"step": 3000
},
{
"epoch": 0.37329351535836175,
"grad_norm": 5.2035698890686035,
"learning_rate": 8.755688282138793e-08,
"loss": 0.273,
"step": 3500
},
{
"epoch": 0.37329351535836175,
"eval_loss": 1.043074369430542,
"eval_runtime": 63.9447,
"eval_samples_per_second": 15.435,
"eval_steps_per_second": 1.939,
"step": 3500
},
{
"epoch": 0.42662116040955633,
"grad_norm": 3.6792104244232178,
"learning_rate": 8.57792946530148e-08,
"loss": 0.193,
"step": 4000
},
{
"epoch": 0.42662116040955633,
"eval_loss": 1.0195527076721191,
"eval_runtime": 63.8076,
"eval_samples_per_second": 15.468,
"eval_steps_per_second": 1.943,
"step": 4000
},
{
"epoch": 0.47994880546075086,
"grad_norm": 111.2447280883789,
"learning_rate": 8.400170648464163e-08,
"loss": 0.2419,
"step": 4500
},
{
"epoch": 0.47994880546075086,
"eval_loss": 0.9946303963661194,
"eval_runtime": 63.8873,
"eval_samples_per_second": 15.449,
"eval_steps_per_second": 1.941,
"step": 4500
},
{
"epoch": 0.5332764505119454,
"grad_norm": 0.024256089702248573,
"learning_rate": 8.222411831626848e-08,
"loss": 0.2577,
"step": 5000
},
{
"epoch": 0.5332764505119454,
"eval_loss": 0.9679088592529297,
"eval_runtime": 62.896,
"eval_samples_per_second": 15.693,
"eval_steps_per_second": 1.972,
"step": 5000
},
{
"epoch": 0.58660409556314,
"grad_norm": 0.05403488501906395,
"learning_rate": 8.044653014789534e-08,
"loss": 0.2468,
"step": 5500
},
{
"epoch": 0.58660409556314,
"eval_loss": 0.9470070004463196,
"eval_runtime": 64.2367,
"eval_samples_per_second": 15.365,
"eval_steps_per_second": 1.93,
"step": 5500
},
{
"epoch": 0.6399317406143344,
"grad_norm": 56.23408508300781,
"learning_rate": 7.866894197952219e-08,
"loss": 0.2148,
"step": 6000
},
{
"epoch": 0.6399317406143344,
"eval_loss": 0.9275079369544983,
"eval_runtime": 62.7425,
"eval_samples_per_second": 15.731,
"eval_steps_per_second": 1.976,
"step": 6000
},
{
"epoch": 0.693259385665529,
"grad_norm": 335.7691955566406,
"learning_rate": 7.689135381114903e-08,
"loss": 0.179,
"step": 6500
},
{
"epoch": 0.693259385665529,
"eval_loss": 0.9107733964920044,
"eval_runtime": 63.711,
"eval_samples_per_second": 15.492,
"eval_steps_per_second": 1.946,
"step": 6500
},
{
"epoch": 0.7465870307167235,
"grad_norm": 0.0303946640342474,
"learning_rate": 7.511376564277589e-08,
"loss": 0.1992,
"step": 7000
},
{
"epoch": 0.7465870307167235,
"eval_loss": 0.8946455121040344,
"eval_runtime": 62.7465,
"eval_samples_per_second": 15.73,
"eval_steps_per_second": 1.976,
"step": 7000
},
{
"epoch": 0.7999146757679181,
"grad_norm": 24.27122688293457,
"learning_rate": 7.333617747440273e-08,
"loss": 0.2264,
"step": 7500
},
{
"epoch": 0.7999146757679181,
"eval_loss": 0.8790715932846069,
"eval_runtime": 62.625,
"eval_samples_per_second": 15.76,
"eval_steps_per_second": 1.98,
"step": 7500
},
{
"epoch": 0.8532423208191127,
"grad_norm": 485.13018798828125,
"learning_rate": 7.155858930602957e-08,
"loss": 0.2349,
"step": 8000
},
{
"epoch": 0.8532423208191127,
"eval_loss": 0.8648595213890076,
"eval_runtime": 63.4718,
"eval_samples_per_second": 15.55,
"eval_steps_per_second": 1.954,
"step": 8000
},
{
"epoch": 0.9065699658703071,
"grad_norm": 39.18803787231445,
"learning_rate": 6.978100113765643e-08,
"loss": 0.1869,
"step": 8500
},
{
"epoch": 0.9065699658703071,
"eval_loss": 0.8521347641944885,
"eval_runtime": 62.649,
"eval_samples_per_second": 15.754,
"eval_steps_per_second": 1.979,
"step": 8500
},
{
"epoch": 0.9598976109215017,
"grad_norm": 15.91203784942627,
"learning_rate": 6.800341296928327e-08,
"loss": 0.1859,
"step": 9000
},
{
"epoch": 0.9598976109215017,
"eval_loss": 0.8395125269889832,
"eval_runtime": 63.1398,
"eval_samples_per_second": 15.632,
"eval_steps_per_second": 1.964,
"step": 9000
},
{
"epoch": 1.0132252559726962,
"grad_norm": 545.9375610351562,
"learning_rate": 6.622582480091012e-08,
"loss": 0.1943,
"step": 9500
},
{
"epoch": 1.0132252559726962,
"eval_loss": 0.8300319910049438,
"eval_runtime": 63.2047,
"eval_samples_per_second": 15.616,
"eval_steps_per_second": 1.962,
"step": 9500
},
{
"epoch": 1.0665529010238908,
"grad_norm": 451.04473876953125,
"learning_rate": 6.444823663253697e-08,
"loss": 0.1419,
"step": 10000
},
{
"epoch": 1.0665529010238908,
"eval_loss": 0.8227387070655823,
"eval_runtime": 62.7357,
"eval_samples_per_second": 15.733,
"eval_steps_per_second": 1.977,
"step": 10000
},
{
"epoch": 1.1198805460750854,
"grad_norm": 12.075934410095215,
"learning_rate": 6.267064846416382e-08,
"loss": 0.1558,
"step": 10500
},
{
"epoch": 1.1198805460750854,
"eval_loss": 0.8159177303314209,
"eval_runtime": 62.8297,
"eval_samples_per_second": 15.709,
"eval_steps_per_second": 1.974,
"step": 10500
},
{
"epoch": 1.17320819112628,
"grad_norm": 363.5056457519531,
"learning_rate": 6.089306029579066e-08,
"loss": 0.15,
"step": 11000
},
{
"epoch": 1.17320819112628,
"eval_loss": 0.8096186518669128,
"eval_runtime": 63.3529,
"eval_samples_per_second": 15.579,
"eval_steps_per_second": 1.957,
"step": 11000
},
{
"epoch": 1.2265358361774745,
"grad_norm": 6.587007646885468e-06,
"learning_rate": 5.911547212741752e-08,
"loss": 0.1919,
"step": 11500
},
{
"epoch": 1.2265358361774745,
"eval_loss": 0.8023524284362793,
"eval_runtime": 62.9393,
"eval_samples_per_second": 15.682,
"eval_steps_per_second": 1.97,
"step": 11500
},
{
"epoch": 1.2798634812286689,
"grad_norm": 0.11630824208259583,
"learning_rate": 5.7337883959044365e-08,
"loss": 0.1298,
"step": 12000
},
{
"epoch": 1.2798634812286689,
"eval_loss": 0.7956322431564331,
"eval_runtime": 63.0726,
"eval_samples_per_second": 15.649,
"eval_steps_per_second": 1.966,
"step": 12000
},
{
"epoch": 1.3331911262798635,
"grad_norm": 0.0007865954539738595,
"learning_rate": 5.556029579067122e-08,
"loss": 0.1385,
"step": 12500
},
{
"epoch": 1.3331911262798635,
"eval_loss": 0.7920646667480469,
"eval_runtime": 63.3155,
"eval_samples_per_second": 15.589,
"eval_steps_per_second": 1.958,
"step": 12500
},
{
"epoch": 1.386518771331058,
"grad_norm": 0.00023369144764728844,
"learning_rate": 5.378270762229806e-08,
"loss": 0.1414,
"step": 13000
},
{
"epoch": 1.386518771331058,
"eval_loss": 0.7884665131568909,
"eval_runtime": 63.002,
"eval_samples_per_second": 15.666,
"eval_steps_per_second": 1.968,
"step": 13000
},
{
"epoch": 1.4398464163822526,
"grad_norm": 4.277670383453369,
"learning_rate": 5.200511945392492e-08,
"loss": 0.1549,
"step": 13500
},
{
"epoch": 1.4398464163822526,
"eval_loss": 0.7809606194496155,
"eval_runtime": 63.0606,
"eval_samples_per_second": 15.652,
"eval_steps_per_second": 1.966,
"step": 13500
},
{
"epoch": 1.493174061433447,
"grad_norm": 0.04092055931687355,
"learning_rate": 5.022753128555176e-08,
"loss": 0.126,
"step": 14000
},
{
"epoch": 1.493174061433447,
"eval_loss": 0.7771912217140198,
"eval_runtime": 63.2952,
"eval_samples_per_second": 15.594,
"eval_steps_per_second": 1.959,
"step": 14000
},
{
"epoch": 1.5465017064846416,
"grad_norm": 213.26644897460938,
"learning_rate": 4.844994311717861e-08,
"loss": 0.1518,
"step": 14500
},
{
"epoch": 1.5465017064846416,
"eval_loss": 0.7739039659500122,
"eval_runtime": 63.1919,
"eval_samples_per_second": 15.619,
"eval_steps_per_second": 1.962,
"step": 14500
},
{
"epoch": 1.5998293515358362,
"grad_norm": 550.1605834960938,
"learning_rate": 4.667235494880546e-08,
"loss": 0.1143,
"step": 15000
},
{
"epoch": 1.5998293515358362,
"eval_loss": 0.7702728509902954,
"eval_runtime": 62.9504,
"eval_samples_per_second": 15.679,
"eval_steps_per_second": 1.97,
"step": 15000
},
{
"epoch": 1.6531569965870307,
"grad_norm": 6.588364124298096,
"learning_rate": 4.4894766780432306e-08,
"loss": 0.161,
"step": 15500
},
{
"epoch": 1.6531569965870307,
"eval_loss": 0.7638877034187317,
"eval_runtime": 63.3812,
"eval_samples_per_second": 15.572,
"eval_steps_per_second": 1.956,
"step": 15500
},
{
"epoch": 1.7064846416382253,
"grad_norm": 245.7973175048828,
"learning_rate": 4.311717861205916e-08,
"loss": 0.1277,
"step": 16000
},
{
"epoch": 1.7064846416382253,
"eval_loss": 0.7590143084526062,
"eval_runtime": 63.157,
"eval_samples_per_second": 15.628,
"eval_steps_per_second": 1.963,
"step": 16000
},
{
"epoch": 1.75981228668942,
"grad_norm": 0.013761636801064014,
"learning_rate": 4.133959044368601e-08,
"loss": 0.1394,
"step": 16500
},
{
"epoch": 1.75981228668942,
"eval_loss": 0.7563473582267761,
"eval_runtime": 63.006,
"eval_samples_per_second": 15.665,
"eval_steps_per_second": 1.968,
"step": 16500
},
{
"epoch": 1.8131399317406145,
"grad_norm": 0.0008418822544626892,
"learning_rate": 3.9562002275312854e-08,
"loss": 0.1253,
"step": 17000
},
{
"epoch": 1.8131399317406145,
"eval_loss": 0.7549872398376465,
"eval_runtime": 63.1042,
"eval_samples_per_second": 15.641,
"eval_steps_per_second": 1.965,
"step": 17000
}
],
"logging_steps": 500,
"max_steps": 28128,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 6116611488122520.0,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}