|
{ |
|
"best_metric": 1.4969953298568726, |
|
"best_model_checkpoint": "./output/clip-finetuned-csu-p14-336-e5l510-l/checkpoint-21000", |
|
"epoch": 3.868828297715549, |
|
"eval_steps": 500, |
|
"global_step": 21000, |
|
"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 |
|
}, |
|
{ |
|
"epoch": 2.671333824613117, |
|
"grad_norm": 3.5760951042175293, |
|
"learning_rate": 2.328666175386883e-10, |
|
"loss": 0.3934, |
|
"step": 14500 |
|
}, |
|
{ |
|
"epoch": 2.671333824613117, |
|
"eval_loss": 1.4975850582122803, |
|
"eval_runtime": 76.0918, |
|
"eval_samples_per_second": 15.862, |
|
"eval_steps_per_second": 1.984, |
|
"step": 14500 |
|
}, |
|
{ |
|
"epoch": 2.7634487840825352, |
|
"grad_norm": 195.72146606445312, |
|
"learning_rate": 2.236551215917465e-10, |
|
"loss": 0.4901, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 2.7634487840825352, |
|
"eval_loss": 1.4975062608718872, |
|
"eval_runtime": 74.9535, |
|
"eval_samples_per_second": 16.103, |
|
"eval_steps_per_second": 2.015, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 2.855563743551953, |
|
"grad_norm": 0.14779114723205566, |
|
"learning_rate": 2.1444362564480471e-10, |
|
"loss": 0.4601, |
|
"step": 15500 |
|
}, |
|
{ |
|
"epoch": 2.855563743551953, |
|
"eval_loss": 1.497436761856079, |
|
"eval_runtime": 75.9666, |
|
"eval_samples_per_second": 15.889, |
|
"eval_steps_per_second": 1.988, |
|
"step": 15500 |
|
}, |
|
{ |
|
"epoch": 2.9476787030213707, |
|
"grad_norm": 205.7298583984375, |
|
"learning_rate": 2.0523212969786292e-10, |
|
"loss": 0.4224, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 2.9476787030213707, |
|
"eval_loss": 1.4973747730255127, |
|
"eval_runtime": 76.7648, |
|
"eval_samples_per_second": 15.723, |
|
"eval_steps_per_second": 1.967, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 3.0397936624907884, |
|
"grad_norm": 9.98619270324707, |
|
"learning_rate": 1.9602063375092116e-10, |
|
"loss": 0.4381, |
|
"step": 16500 |
|
}, |
|
{ |
|
"epoch": 3.0397936624907884, |
|
"eval_loss": 1.497320294380188, |
|
"eval_runtime": 75.2158, |
|
"eval_samples_per_second": 16.047, |
|
"eval_steps_per_second": 2.008, |
|
"step": 16500 |
|
}, |
|
{ |
|
"epoch": 3.131908621960206, |
|
"grad_norm": 5.3734331130981445, |
|
"learning_rate": 1.8680913780397937e-10, |
|
"loss": 0.4942, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 3.131908621960206, |
|
"eval_loss": 1.4972634315490723, |
|
"eval_runtime": 75.2534, |
|
"eval_samples_per_second": 16.039, |
|
"eval_steps_per_second": 2.007, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 3.2240235814296243, |
|
"grad_norm": 117.80599212646484, |
|
"learning_rate": 1.7759764185703758e-10, |
|
"loss": 0.3885, |
|
"step": 17500 |
|
}, |
|
{ |
|
"epoch": 3.2240235814296243, |
|
"eval_loss": 1.4972138404846191, |
|
"eval_runtime": 75.5586, |
|
"eval_samples_per_second": 15.974, |
|
"eval_steps_per_second": 1.998, |
|
"step": 17500 |
|
}, |
|
{ |
|
"epoch": 3.316138540899042, |
|
"grad_norm": 81.40491485595703, |
|
"learning_rate": 1.683861459100958e-10, |
|
"loss": 0.4407, |
|
"step": 18000 |
|
}, |
|
{ |
|
"epoch": 3.316138540899042, |
|
"eval_loss": 1.4971661567687988, |
|
"eval_runtime": 75.6731, |
|
"eval_samples_per_second": 15.95, |
|
"eval_steps_per_second": 1.995, |
|
"step": 18000 |
|
}, |
|
{ |
|
"epoch": 3.4082535003684598, |
|
"grad_norm": 16.30617904663086, |
|
"learning_rate": 1.59174649963154e-10, |
|
"loss": 0.4635, |
|
"step": 18500 |
|
}, |
|
{ |
|
"epoch": 3.4082535003684598, |
|
"eval_loss": 1.4971280097961426, |
|
"eval_runtime": 75.728, |
|
"eval_samples_per_second": 15.939, |
|
"eval_steps_per_second": 1.994, |
|
"step": 18500 |
|
}, |
|
{ |
|
"epoch": 3.500368459837878, |
|
"grad_norm": 40.21035385131836, |
|
"learning_rate": 1.4996315401621224e-10, |
|
"loss": 0.4228, |
|
"step": 19000 |
|
}, |
|
{ |
|
"epoch": 3.500368459837878, |
|
"eval_loss": 1.4970934391021729, |
|
"eval_runtime": 76.4366, |
|
"eval_samples_per_second": 15.791, |
|
"eval_steps_per_second": 1.975, |
|
"step": 19000 |
|
}, |
|
{ |
|
"epoch": 3.5924834193072956, |
|
"grad_norm": 7.447707176208496, |
|
"learning_rate": 1.4075165806927045e-10, |
|
"loss": 0.464, |
|
"step": 19500 |
|
}, |
|
{ |
|
"epoch": 3.5924834193072956, |
|
"eval_loss": 1.4970619678497314, |
|
"eval_runtime": 75.781, |
|
"eval_samples_per_second": 15.927, |
|
"eval_steps_per_second": 1.993, |
|
"step": 19500 |
|
}, |
|
{ |
|
"epoch": 3.6845983787767134, |
|
"grad_norm": 0.005426365882158279, |
|
"learning_rate": 1.3154016212232866e-10, |
|
"loss": 0.4746, |
|
"step": 20000 |
|
}, |
|
{ |
|
"epoch": 3.6845983787767134, |
|
"eval_loss": 1.4970370531082153, |
|
"eval_runtime": 75.7317, |
|
"eval_samples_per_second": 15.938, |
|
"eval_steps_per_second": 1.994, |
|
"step": 20000 |
|
}, |
|
{ |
|
"epoch": 3.776713338246131, |
|
"grad_norm": 485.1770935058594, |
|
"learning_rate": 1.223286661753869e-10, |
|
"loss": 0.4447, |
|
"step": 20500 |
|
}, |
|
{ |
|
"epoch": 3.776713338246131, |
|
"eval_loss": 1.497014045715332, |
|
"eval_runtime": 76.0421, |
|
"eval_samples_per_second": 15.873, |
|
"eval_steps_per_second": 1.986, |
|
"step": 20500 |
|
}, |
|
{ |
|
"epoch": 3.868828297715549, |
|
"grad_norm": 11.55502986907959, |
|
"learning_rate": 1.1311717022844511e-10, |
|
"loss": 0.4663, |
|
"step": 21000 |
|
}, |
|
{ |
|
"epoch": 3.868828297715549, |
|
"eval_loss": 1.4969953298568726, |
|
"eval_runtime": 76.2357, |
|
"eval_samples_per_second": 15.832, |
|
"eval_steps_per_second": 1.981, |
|
"step": 21000 |
|
} |
|
], |
|
"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": 7555644893162520.0, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|