|
{ |
|
"best_metric": 0.6111111111111112, |
|
"best_model_checkpoint": "beit-base-patch16-224-hasta-65-fold3/checkpoint-68", |
|
"epoch": 57.142857142857146, |
|
"eval_steps": 500, |
|
"global_step": 100, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.5714285714285714, |
|
"eval_accuracy": 0.3333333333333333, |
|
"eval_loss": 1.2972347736358643, |
|
"eval_runtime": 0.4909, |
|
"eval_samples_per_second": 73.334, |
|
"eval_steps_per_second": 4.074, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 1.7142857142857144, |
|
"eval_accuracy": 0.4166666666666667, |
|
"eval_loss": 1.1961228847503662, |
|
"eval_runtime": 0.4989, |
|
"eval_samples_per_second": 72.158, |
|
"eval_steps_per_second": 4.009, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 2.857142857142857, |
|
"eval_accuracy": 0.2777777777777778, |
|
"eval_loss": 1.5407676696777344, |
|
"eval_runtime": 0.5093, |
|
"eval_samples_per_second": 70.691, |
|
"eval_steps_per_second": 3.927, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.3611111111111111, |
|
"eval_loss": 1.1727068424224854, |
|
"eval_runtime": 0.5013, |
|
"eval_samples_per_second": 71.816, |
|
"eval_steps_per_second": 3.99, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 4.571428571428571, |
|
"eval_accuracy": 0.3611111111111111, |
|
"eval_loss": 1.141831874847412, |
|
"eval_runtime": 0.4972, |
|
"eval_samples_per_second": 72.411, |
|
"eval_steps_per_second": 4.023, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 5.714285714285714, |
|
"grad_norm": 5.564121723175049, |
|
"learning_rate": 5e-05, |
|
"loss": 1.2077, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 5.714285714285714, |
|
"eval_accuracy": 0.2777777777777778, |
|
"eval_loss": 1.2295489311218262, |
|
"eval_runtime": 0.4887, |
|
"eval_samples_per_second": 73.67, |
|
"eval_steps_per_second": 4.093, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 6.857142857142857, |
|
"eval_accuracy": 0.4166666666666667, |
|
"eval_loss": 1.1357738971710205, |
|
"eval_runtime": 0.5087, |
|
"eval_samples_per_second": 70.766, |
|
"eval_steps_per_second": 3.931, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.4444444444444444, |
|
"eval_loss": 1.139593482017517, |
|
"eval_runtime": 0.4968, |
|
"eval_samples_per_second": 72.463, |
|
"eval_steps_per_second": 4.026, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 8.571428571428571, |
|
"eval_accuracy": 0.3611111111111111, |
|
"eval_loss": 1.1826934814453125, |
|
"eval_runtime": 0.4968, |
|
"eval_samples_per_second": 72.47, |
|
"eval_steps_per_second": 4.026, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 9.714285714285714, |
|
"eval_accuracy": 0.3888888888888889, |
|
"eval_loss": 1.071872591972351, |
|
"eval_runtime": 0.5161, |
|
"eval_samples_per_second": 69.752, |
|
"eval_steps_per_second": 3.875, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 10.857142857142858, |
|
"eval_accuracy": 0.4166666666666667, |
|
"eval_loss": 1.0910537242889404, |
|
"eval_runtime": 0.5152, |
|
"eval_samples_per_second": 69.88, |
|
"eval_steps_per_second": 3.882, |
|
"step": 19 |
|
}, |
|
{ |
|
"epoch": 11.428571428571429, |
|
"grad_norm": 6.144622325897217, |
|
"learning_rate": 4.4444444444444447e-05, |
|
"loss": 1.004, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_accuracy": 0.5277777777777778, |
|
"eval_loss": 1.0003440380096436, |
|
"eval_runtime": 0.4949, |
|
"eval_samples_per_second": 72.737, |
|
"eval_steps_per_second": 4.041, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 12.571428571428571, |
|
"eval_accuracy": 0.5, |
|
"eval_loss": 0.9456803202629089, |
|
"eval_runtime": 0.4946, |
|
"eval_samples_per_second": 72.793, |
|
"eval_steps_per_second": 4.044, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 13.714285714285714, |
|
"eval_accuracy": 0.5, |
|
"eval_loss": 1.0181926488876343, |
|
"eval_runtime": 0.5019, |
|
"eval_samples_per_second": 71.726, |
|
"eval_steps_per_second": 3.985, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 14.857142857142858, |
|
"eval_accuracy": 0.5, |
|
"eval_loss": 0.9877431392669678, |
|
"eval_runtime": 0.4912, |
|
"eval_samples_per_second": 73.291, |
|
"eval_steps_per_second": 4.072, |
|
"step": 26 |
|
}, |
|
{ |
|
"epoch": 16.0, |
|
"eval_accuracy": 0.5277777777777778, |
|
"eval_loss": 0.9536970853805542, |
|
"eval_runtime": 0.4946, |
|
"eval_samples_per_second": 72.783, |
|
"eval_steps_per_second": 4.043, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 16.571428571428573, |
|
"eval_accuracy": 0.5833333333333334, |
|
"eval_loss": 0.9310481548309326, |
|
"eval_runtime": 0.5056, |
|
"eval_samples_per_second": 71.199, |
|
"eval_steps_per_second": 3.955, |
|
"step": 29 |
|
}, |
|
{ |
|
"epoch": 17.142857142857142, |
|
"grad_norm": 8.827644348144531, |
|
"learning_rate": 3.888888888888889e-05, |
|
"loss": 0.8983, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 17.714285714285715, |
|
"eval_accuracy": 0.5277777777777778, |
|
"eval_loss": 0.8763439059257507, |
|
"eval_runtime": 0.5026, |
|
"eval_samples_per_second": 71.621, |
|
"eval_steps_per_second": 3.979, |
|
"step": 31 |
|
}, |
|
{ |
|
"epoch": 18.857142857142858, |
|
"eval_accuracy": 0.5555555555555556, |
|
"eval_loss": 0.9626156687736511, |
|
"eval_runtime": 0.4971, |
|
"eval_samples_per_second": 72.421, |
|
"eval_steps_per_second": 4.023, |
|
"step": 33 |
|
}, |
|
{ |
|
"epoch": 20.0, |
|
"eval_accuracy": 0.5833333333333334, |
|
"eval_loss": 1.0251946449279785, |
|
"eval_runtime": 0.5127, |
|
"eval_samples_per_second": 70.213, |
|
"eval_steps_per_second": 3.901, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 20.571428571428573, |
|
"eval_accuracy": 0.5277777777777778, |
|
"eval_loss": 1.0288382768630981, |
|
"eval_runtime": 0.4975, |
|
"eval_samples_per_second": 72.364, |
|
"eval_steps_per_second": 4.02, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 21.714285714285715, |
|
"eval_accuracy": 0.4722222222222222, |
|
"eval_loss": 1.0807000398635864, |
|
"eval_runtime": 0.4959, |
|
"eval_samples_per_second": 72.592, |
|
"eval_steps_per_second": 4.033, |
|
"step": 38 |
|
}, |
|
{ |
|
"epoch": 22.857142857142858, |
|
"grad_norm": 7.877163887023926, |
|
"learning_rate": 3.3333333333333335e-05, |
|
"loss": 0.7347, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 22.857142857142858, |
|
"eval_accuracy": 0.4444444444444444, |
|
"eval_loss": 0.9994614124298096, |
|
"eval_runtime": 0.5076, |
|
"eval_samples_per_second": 70.923, |
|
"eval_steps_per_second": 3.94, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 24.0, |
|
"eval_accuracy": 0.4722222222222222, |
|
"eval_loss": 1.3380463123321533, |
|
"eval_runtime": 0.4927, |
|
"eval_samples_per_second": 73.066, |
|
"eval_steps_per_second": 4.059, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 24.571428571428573, |
|
"eval_accuracy": 0.4722222222222222, |
|
"eval_loss": 1.3829317092895508, |
|
"eval_runtime": 0.4915, |
|
"eval_samples_per_second": 73.25, |
|
"eval_steps_per_second": 4.069, |
|
"step": 43 |
|
}, |
|
{ |
|
"epoch": 25.714285714285715, |
|
"eval_accuracy": 0.4722222222222222, |
|
"eval_loss": 1.0370383262634277, |
|
"eval_runtime": 0.4924, |
|
"eval_samples_per_second": 73.115, |
|
"eval_steps_per_second": 4.062, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 26.857142857142858, |
|
"eval_accuracy": 0.5277777777777778, |
|
"eval_loss": 1.037151575088501, |
|
"eval_runtime": 0.4905, |
|
"eval_samples_per_second": 73.398, |
|
"eval_steps_per_second": 4.078, |
|
"step": 47 |
|
}, |
|
{ |
|
"epoch": 28.0, |
|
"eval_accuracy": 0.5277777777777778, |
|
"eval_loss": 0.9477570056915283, |
|
"eval_runtime": 0.4986, |
|
"eval_samples_per_second": 72.202, |
|
"eval_steps_per_second": 4.011, |
|
"step": 49 |
|
}, |
|
{ |
|
"epoch": 28.571428571428573, |
|
"grad_norm": 6.354820728302002, |
|
"learning_rate": 2.777777777777778e-05, |
|
"loss": 0.6583, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 28.571428571428573, |
|
"eval_accuracy": 0.5833333333333334, |
|
"eval_loss": 0.9327968955039978, |
|
"eval_runtime": 0.4991, |
|
"eval_samples_per_second": 72.136, |
|
"eval_steps_per_second": 4.008, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 29.714285714285715, |
|
"eval_accuracy": 0.5277777777777778, |
|
"eval_loss": 1.0591890811920166, |
|
"eval_runtime": 0.4917, |
|
"eval_samples_per_second": 73.217, |
|
"eval_steps_per_second": 4.068, |
|
"step": 52 |
|
}, |
|
{ |
|
"epoch": 30.857142857142858, |
|
"eval_accuracy": 0.5277777777777778, |
|
"eval_loss": 0.9613094329833984, |
|
"eval_runtime": 0.4952, |
|
"eval_samples_per_second": 72.691, |
|
"eval_steps_per_second": 4.038, |
|
"step": 54 |
|
}, |
|
{ |
|
"epoch": 32.0, |
|
"eval_accuracy": 0.5555555555555556, |
|
"eval_loss": 0.8314970135688782, |
|
"eval_runtime": 0.4969, |
|
"eval_samples_per_second": 72.443, |
|
"eval_steps_per_second": 4.025, |
|
"step": 56 |
|
}, |
|
{ |
|
"epoch": 32.57142857142857, |
|
"eval_accuracy": 0.5277777777777778, |
|
"eval_loss": 0.8748820424079895, |
|
"eval_runtime": 0.4978, |
|
"eval_samples_per_second": 72.314, |
|
"eval_steps_per_second": 4.017, |
|
"step": 57 |
|
}, |
|
{ |
|
"epoch": 33.714285714285715, |
|
"eval_accuracy": 0.5555555555555556, |
|
"eval_loss": 1.038988471031189, |
|
"eval_runtime": 0.5018, |
|
"eval_samples_per_second": 71.743, |
|
"eval_steps_per_second": 3.986, |
|
"step": 59 |
|
}, |
|
{ |
|
"epoch": 34.285714285714285, |
|
"grad_norm": 8.402383804321289, |
|
"learning_rate": 2.2222222222222223e-05, |
|
"loss": 0.5633, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 34.857142857142854, |
|
"eval_accuracy": 0.5833333333333334, |
|
"eval_loss": 0.9446022510528564, |
|
"eval_runtime": 0.4971, |
|
"eval_samples_per_second": 72.424, |
|
"eval_steps_per_second": 4.024, |
|
"step": 61 |
|
}, |
|
{ |
|
"epoch": 36.0, |
|
"eval_accuracy": 0.5833333333333334, |
|
"eval_loss": 0.958649218082428, |
|
"eval_runtime": 0.4937, |
|
"eval_samples_per_second": 72.924, |
|
"eval_steps_per_second": 4.051, |
|
"step": 63 |
|
}, |
|
{ |
|
"epoch": 36.57142857142857, |
|
"eval_accuracy": 0.5833333333333334, |
|
"eval_loss": 0.987652063369751, |
|
"eval_runtime": 0.4944, |
|
"eval_samples_per_second": 72.812, |
|
"eval_steps_per_second": 4.045, |
|
"step": 64 |
|
}, |
|
{ |
|
"epoch": 37.714285714285715, |
|
"eval_accuracy": 0.5833333333333334, |
|
"eval_loss": 1.0394772291183472, |
|
"eval_runtime": 0.497, |
|
"eval_samples_per_second": 72.441, |
|
"eval_steps_per_second": 4.024, |
|
"step": 66 |
|
}, |
|
{ |
|
"epoch": 38.857142857142854, |
|
"eval_accuracy": 0.6111111111111112, |
|
"eval_loss": 0.9493582844734192, |
|
"eval_runtime": 0.5087, |
|
"eval_samples_per_second": 70.774, |
|
"eval_steps_per_second": 3.932, |
|
"step": 68 |
|
}, |
|
{ |
|
"epoch": 40.0, |
|
"grad_norm": 10.07642650604248, |
|
"learning_rate": 1.6666666666666667e-05, |
|
"loss": 0.4905, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 40.0, |
|
"eval_accuracy": 0.5833333333333334, |
|
"eval_loss": 1.012374758720398, |
|
"eval_runtime": 0.4923, |
|
"eval_samples_per_second": 73.122, |
|
"eval_steps_per_second": 4.062, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 40.57142857142857, |
|
"eval_accuracy": 0.5555555555555556, |
|
"eval_loss": 1.1536669731140137, |
|
"eval_runtime": 0.5085, |
|
"eval_samples_per_second": 70.8, |
|
"eval_steps_per_second": 3.933, |
|
"step": 71 |
|
}, |
|
{ |
|
"epoch": 41.714285714285715, |
|
"eval_accuracy": 0.5833333333333334, |
|
"eval_loss": 1.2837426662445068, |
|
"eval_runtime": 0.4943, |
|
"eval_samples_per_second": 72.823, |
|
"eval_steps_per_second": 4.046, |
|
"step": 73 |
|
}, |
|
{ |
|
"epoch": 42.857142857142854, |
|
"eval_accuracy": 0.5555555555555556, |
|
"eval_loss": 1.082094430923462, |
|
"eval_runtime": 0.4953, |
|
"eval_samples_per_second": 72.686, |
|
"eval_steps_per_second": 4.038, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 44.0, |
|
"eval_accuracy": 0.5555555555555556, |
|
"eval_loss": 1.0084452629089355, |
|
"eval_runtime": 0.4992, |
|
"eval_samples_per_second": 72.117, |
|
"eval_steps_per_second": 4.006, |
|
"step": 77 |
|
}, |
|
{ |
|
"epoch": 44.57142857142857, |
|
"eval_accuracy": 0.5555555555555556, |
|
"eval_loss": 1.043327808380127, |
|
"eval_runtime": 0.5076, |
|
"eval_samples_per_second": 70.922, |
|
"eval_steps_per_second": 3.94, |
|
"step": 78 |
|
}, |
|
{ |
|
"epoch": 45.714285714285715, |
|
"grad_norm": 5.775242805480957, |
|
"learning_rate": 1.1111111111111112e-05, |
|
"loss": 0.4609, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 45.714285714285715, |
|
"eval_accuracy": 0.5555555555555556, |
|
"eval_loss": 1.211928367614746, |
|
"eval_runtime": 0.4968, |
|
"eval_samples_per_second": 72.468, |
|
"eval_steps_per_second": 4.026, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 46.857142857142854, |
|
"eval_accuracy": 0.5555555555555556, |
|
"eval_loss": 1.2975627183914185, |
|
"eval_runtime": 0.5093, |
|
"eval_samples_per_second": 70.69, |
|
"eval_steps_per_second": 3.927, |
|
"step": 82 |
|
}, |
|
{ |
|
"epoch": 48.0, |
|
"eval_accuracy": 0.5833333333333334, |
|
"eval_loss": 1.14437997341156, |
|
"eval_runtime": 0.4953, |
|
"eval_samples_per_second": 72.687, |
|
"eval_steps_per_second": 4.038, |
|
"step": 84 |
|
}, |
|
{ |
|
"epoch": 48.57142857142857, |
|
"eval_accuracy": 0.5833333333333334, |
|
"eval_loss": 1.04435133934021, |
|
"eval_runtime": 0.497, |
|
"eval_samples_per_second": 72.439, |
|
"eval_steps_per_second": 4.024, |
|
"step": 85 |
|
}, |
|
{ |
|
"epoch": 49.714285714285715, |
|
"eval_accuracy": 0.5277777777777778, |
|
"eval_loss": 0.9337983727455139, |
|
"eval_runtime": 0.505, |
|
"eval_samples_per_second": 71.292, |
|
"eval_steps_per_second": 3.961, |
|
"step": 87 |
|
}, |
|
{ |
|
"epoch": 50.857142857142854, |
|
"eval_accuracy": 0.5833333333333334, |
|
"eval_loss": 0.9500620365142822, |
|
"eval_runtime": 0.5149, |
|
"eval_samples_per_second": 69.912, |
|
"eval_steps_per_second": 3.884, |
|
"step": 89 |
|
}, |
|
{ |
|
"epoch": 51.42857142857143, |
|
"grad_norm": 10.107069969177246, |
|
"learning_rate": 5.555555555555556e-06, |
|
"loss": 0.4106, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 52.0, |
|
"eval_accuracy": 0.5833333333333334, |
|
"eval_loss": 1.0080580711364746, |
|
"eval_runtime": 0.5027, |
|
"eval_samples_per_second": 71.615, |
|
"eval_steps_per_second": 3.979, |
|
"step": 91 |
|
}, |
|
{ |
|
"epoch": 52.57142857142857, |
|
"eval_accuracy": 0.5833333333333334, |
|
"eval_loss": 1.0579811334609985, |
|
"eval_runtime": 0.507, |
|
"eval_samples_per_second": 71.001, |
|
"eval_steps_per_second": 3.944, |
|
"step": 92 |
|
}, |
|
{ |
|
"epoch": 53.714285714285715, |
|
"eval_accuracy": 0.5833333333333334, |
|
"eval_loss": 1.1187769174575806, |
|
"eval_runtime": 0.4951, |
|
"eval_samples_per_second": 72.717, |
|
"eval_steps_per_second": 4.04, |
|
"step": 94 |
|
}, |
|
{ |
|
"epoch": 54.857142857142854, |
|
"eval_accuracy": 0.5833333333333334, |
|
"eval_loss": 1.129145622253418, |
|
"eval_runtime": 0.5123, |
|
"eval_samples_per_second": 70.274, |
|
"eval_steps_per_second": 3.904, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 56.0, |
|
"eval_accuracy": 0.6111111111111112, |
|
"eval_loss": 1.1155930757522583, |
|
"eval_runtime": 0.502, |
|
"eval_samples_per_second": 71.707, |
|
"eval_steps_per_second": 3.984, |
|
"step": 98 |
|
}, |
|
{ |
|
"epoch": 56.57142857142857, |
|
"eval_accuracy": 0.6111111111111112, |
|
"eval_loss": 1.1098636388778687, |
|
"eval_runtime": 0.5016, |
|
"eval_samples_per_second": 71.776, |
|
"eval_steps_per_second": 3.988, |
|
"step": 99 |
|
}, |
|
{ |
|
"epoch": 57.142857142857146, |
|
"grad_norm": 5.268594741821289, |
|
"learning_rate": 0.0, |
|
"loss": 0.3784, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 57.142857142857146, |
|
"eval_accuracy": 0.6111111111111112, |
|
"eval_loss": 1.1064138412475586, |
|
"eval_runtime": 0.5198, |
|
"eval_samples_per_second": 69.256, |
|
"eval_steps_per_second": 3.848, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 57.142857142857146, |
|
"step": 100, |
|
"total_flos": 8.899329213047992e+17, |
|
"train_loss": 0.6806672286987304, |
|
"train_runtime": 554.0122, |
|
"train_samples_per_second": 36.281, |
|
"train_steps_per_second": 0.181 |
|
}, |
|
{ |
|
"epoch": 57.142857142857146, |
|
"eval_accuracy": 0.6111111111111112, |
|
"eval_loss": 0.9493582844734192, |
|
"eval_runtime": 0.5666, |
|
"eval_samples_per_second": 63.533, |
|
"eval_steps_per_second": 3.53, |
|
"step": 100 |
|
} |
|
], |
|
"logging_steps": 10, |
|
"max_steps": 100, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 100, |
|
"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": 8.899329213047992e+17, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|