kevinoli's picture
Training in progress, step 14000, checkpoint
97f27db verified
raw
history blame
11.7 kB
{
"best_metric": 1.4976625442504883,
"best_model_checkpoint": "./output/clip-finetuned-csu-p14-336-e5l510-l/checkpoint-14000",
"epoch": 2.5792188651436994,
"eval_steps": 500,
"global_step": 14000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.09211495946941783,
"grad_norm": 21.660480499267578,
"learning_rate": 4.907885040530583e-10,
"loss": 0.3974,
"step": 500
},
{
"epoch": 0.09211495946941783,
"eval_loss": 1.5028706789016724,
"eval_runtime": 74.0662,
"eval_samples_per_second": 16.296,
"eval_steps_per_second": 2.039,
"step": 500
},
{
"epoch": 0.18422991893883567,
"grad_norm": 60.26338577270508,
"learning_rate": 4.815770081061165e-10,
"loss": 0.462,
"step": 1000
},
{
"epoch": 0.18422991893883567,
"eval_loss": 1.5025668144226074,
"eval_runtime": 75.1835,
"eval_samples_per_second": 16.054,
"eval_steps_per_second": 2.008,
"step": 1000
},
{
"epoch": 0.2763448784082535,
"grad_norm": 1.4199143648147583,
"learning_rate": 4.723655121591747e-10,
"loss": 0.5249,
"step": 1500
},
{
"epoch": 0.2763448784082535,
"eval_loss": 1.5022265911102295,
"eval_runtime": 76.3442,
"eval_samples_per_second": 15.81,
"eval_steps_per_second": 1.978,
"step": 1500
},
{
"epoch": 0.36845983787767134,
"grad_norm": 1.2705016136169434,
"learning_rate": 4.6315401621223287e-10,
"loss": 0.4642,
"step": 2000
},
{
"epoch": 0.36845983787767134,
"eval_loss": 1.5019283294677734,
"eval_runtime": 77.0512,
"eval_samples_per_second": 15.665,
"eval_steps_per_second": 1.96,
"step": 2000
},
{
"epoch": 0.46057479734708917,
"grad_norm": 335.6837463378906,
"learning_rate": 4.5394252026529114e-10,
"loss": 0.5056,
"step": 2500
},
{
"epoch": 0.46057479734708917,
"eval_loss": 1.5015931129455566,
"eval_runtime": 76.8527,
"eval_samples_per_second": 15.705,
"eval_steps_per_second": 1.965,
"step": 2500
},
{
"epoch": 0.552689756816507,
"grad_norm": 402.1738586425781,
"learning_rate": 4.4473102431834935e-10,
"loss": 0.4604,
"step": 3000
},
{
"epoch": 0.552689756816507,
"eval_loss": 1.501311182975769,
"eval_runtime": 76.7728,
"eval_samples_per_second": 15.722,
"eval_steps_per_second": 1.967,
"step": 3000
},
{
"epoch": 0.6448047162859248,
"grad_norm": 120.70919799804688,
"learning_rate": 4.3551952837140756e-10,
"loss": 0.4508,
"step": 3500
},
{
"epoch": 0.6448047162859248,
"eval_loss": 1.5010316371917725,
"eval_runtime": 77.0074,
"eval_samples_per_second": 15.674,
"eval_steps_per_second": 1.961,
"step": 3500
},
{
"epoch": 0.7369196757553427,
"grad_norm": 103.2845687866211,
"learning_rate": 4.2630803242446577e-10,
"loss": 0.4674,
"step": 4000
},
{
"epoch": 0.7369196757553427,
"eval_loss": 1.5007821321487427,
"eval_runtime": 76.7277,
"eval_samples_per_second": 15.731,
"eval_steps_per_second": 1.968,
"step": 4000
},
{
"epoch": 0.8290346352247605,
"grad_norm": 464.5989074707031,
"learning_rate": 4.17096536477524e-10,
"loss": 0.4435,
"step": 4500
},
{
"epoch": 0.8290346352247605,
"eval_loss": 1.500537633895874,
"eval_runtime": 76.8855,
"eval_samples_per_second": 15.699,
"eval_steps_per_second": 1.964,
"step": 4500
},
{
"epoch": 0.9211495946941783,
"grad_norm": 6.3550262451171875,
"learning_rate": 4.078850405305822e-10,
"loss": 0.4573,
"step": 5000
},
{
"epoch": 0.9211495946941783,
"eval_loss": 1.5003185272216797,
"eval_runtime": 77.2072,
"eval_samples_per_second": 15.633,
"eval_steps_per_second": 1.956,
"step": 5000
},
{
"epoch": 1.013264554163596,
"grad_norm": 0.6333007216453552,
"learning_rate": 3.9867354458364045e-10,
"loss": 0.4681,
"step": 5500
},
{
"epoch": 1.013264554163596,
"eval_loss": 1.5001204013824463,
"eval_runtime": 76.9383,
"eval_samples_per_second": 15.688,
"eval_steps_per_second": 1.963,
"step": 5500
},
{
"epoch": 1.105379513633014,
"grad_norm": 238.3988800048828,
"learning_rate": 3.894620486366986e-10,
"loss": 0.4862,
"step": 6000
},
{
"epoch": 1.105379513633014,
"eval_loss": 1.4999229907989502,
"eval_runtime": 76.9483,
"eval_samples_per_second": 15.686,
"eval_steps_per_second": 1.962,
"step": 6000
},
{
"epoch": 1.1974944731024317,
"grad_norm": 492.2626953125,
"learning_rate": 3.8025055268975687e-10,
"loss": 0.4231,
"step": 6500
},
{
"epoch": 1.1974944731024317,
"eval_loss": 1.4997295141220093,
"eval_runtime": 75.1791,
"eval_samples_per_second": 16.055,
"eval_steps_per_second": 2.009,
"step": 6500
},
{
"epoch": 1.2896094325718497,
"grad_norm": 3.0739829540252686,
"learning_rate": 3.7103905674281503e-10,
"loss": 0.3734,
"step": 7000
},
{
"epoch": 1.2896094325718497,
"eval_loss": 1.4995641708374023,
"eval_runtime": 76.6897,
"eval_samples_per_second": 15.739,
"eval_steps_per_second": 1.969,
"step": 7000
},
{
"epoch": 1.3817243920412676,
"grad_norm": 142.28684997558594,
"learning_rate": 3.618275607958733e-10,
"loss": 0.4606,
"step": 7500
},
{
"epoch": 1.3817243920412676,
"eval_loss": 1.4993607997894287,
"eval_runtime": 75.831,
"eval_samples_per_second": 15.917,
"eval_steps_per_second": 1.991,
"step": 7500
},
{
"epoch": 1.4738393515106853,
"grad_norm": 1.5455149412155151,
"learning_rate": 3.526160648489315e-10,
"loss": 0.467,
"step": 8000
},
{
"epoch": 1.4738393515106853,
"eval_loss": 1.4991577863693237,
"eval_runtime": 75.1339,
"eval_samples_per_second": 16.065,
"eval_steps_per_second": 2.01,
"step": 8000
},
{
"epoch": 1.565954310980103,
"grad_norm": 215.83163452148438,
"learning_rate": 3.434045689019897e-10,
"loss": 0.4202,
"step": 8500
},
{
"epoch": 1.565954310980103,
"eval_loss": 1.498979091644287,
"eval_runtime": 75.4004,
"eval_samples_per_second": 16.008,
"eval_steps_per_second": 2.003,
"step": 8500
},
{
"epoch": 1.658069270449521,
"grad_norm": 2.8240511417388916,
"learning_rate": 3.341930729550479e-10,
"loss": 0.4866,
"step": 9000
},
{
"epoch": 1.658069270449521,
"eval_loss": 1.4988232851028442,
"eval_runtime": 75.0613,
"eval_samples_per_second": 16.08,
"eval_steps_per_second": 2.012,
"step": 9000
},
{
"epoch": 1.750184229918939,
"grad_norm": 7.242213249206543,
"learning_rate": 3.2498157700810614e-10,
"loss": 0.4848,
"step": 9500
},
{
"epoch": 1.750184229918939,
"eval_loss": 1.4986662864685059,
"eval_runtime": 75.3419,
"eval_samples_per_second": 16.02,
"eval_steps_per_second": 2.004,
"step": 9500
},
{
"epoch": 1.8422991893883567,
"grad_norm": 908.7202758789062,
"learning_rate": 3.1577008106116435e-10,
"loss": 0.4385,
"step": 10000
},
{
"epoch": 1.8422991893883567,
"eval_loss": 1.4985153675079346,
"eval_runtime": 75.0638,
"eval_samples_per_second": 16.08,
"eval_steps_per_second": 2.012,
"step": 10000
},
{
"epoch": 1.9344141488577744,
"grad_norm": 4.991658687591553,
"learning_rate": 3.065585851142226e-10,
"loss": 0.4781,
"step": 10500
},
{
"epoch": 1.9344141488577744,
"eval_loss": 1.498375654220581,
"eval_runtime": 75.0746,
"eval_samples_per_second": 16.077,
"eval_steps_per_second": 2.011,
"step": 10500
},
{
"epoch": 2.026529108327192,
"grad_norm": 0.4935278594493866,
"learning_rate": 2.9734708916728077e-10,
"loss": 0.4287,
"step": 11000
},
{
"epoch": 2.026529108327192,
"eval_loss": 1.4982625246047974,
"eval_runtime": 75.5519,
"eval_samples_per_second": 15.976,
"eval_steps_per_second": 1.999,
"step": 11000
},
{
"epoch": 2.1186440677966103,
"grad_norm": 441.09906005859375,
"learning_rate": 2.8813559322033903e-10,
"loss": 0.4392,
"step": 11500
},
{
"epoch": 2.1186440677966103,
"eval_loss": 1.4981573820114136,
"eval_runtime": 75.0431,
"eval_samples_per_second": 16.084,
"eval_steps_per_second": 2.012,
"step": 11500
},
{
"epoch": 2.210759027266028,
"grad_norm": 1.5746198892593384,
"learning_rate": 2.789240972733972e-10,
"loss": 0.4447,
"step": 12000
},
{
"epoch": 2.210759027266028,
"eval_loss": 1.498041033744812,
"eval_runtime": 75.1277,
"eval_samples_per_second": 16.066,
"eval_steps_per_second": 2.01,
"step": 12000
},
{
"epoch": 2.3028739867354457,
"grad_norm": 604.6005249023438,
"learning_rate": 2.6971260132645545e-10,
"loss": 0.4449,
"step": 12500
},
{
"epoch": 2.3028739867354457,
"eval_loss": 1.497951865196228,
"eval_runtime": 75.2241,
"eval_samples_per_second": 16.045,
"eval_steps_per_second": 2.007,
"step": 12500
},
{
"epoch": 2.3949889462048635,
"grad_norm": 5.409970760345459,
"learning_rate": 2.6050110537951366e-10,
"loss": 0.4748,
"step": 13000
},
{
"epoch": 2.3949889462048635,
"eval_loss": 1.4978498220443726,
"eval_runtime": 75.3614,
"eval_samples_per_second": 16.016,
"eval_steps_per_second": 2.004,
"step": 13000
},
{
"epoch": 2.4871039056742816,
"grad_norm": 17.807907104492188,
"learning_rate": 2.5128960943257187e-10,
"loss": 0.4935,
"step": 13500
},
{
"epoch": 2.4871039056742816,
"eval_loss": 1.4977525472640991,
"eval_runtime": 74.8827,
"eval_samples_per_second": 16.119,
"eval_steps_per_second": 2.016,
"step": 13500
},
{
"epoch": 2.5792188651436994,
"grad_norm": 190.154541015625,
"learning_rate": 2.420781134856301e-10,
"loss": 0.4113,
"step": 14000
},
{
"epoch": 2.5792188651436994,
"eval_loss": 1.4976625442504883,
"eval_runtime": 76.3316,
"eval_samples_per_second": 15.813,
"eval_steps_per_second": 1.978,
"step": 14000
}
],
"logging_steps": 500,
"max_steps": 27140,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"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": 5037336434342520.0,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}