fpadovani's picture
Training in progress, step 64000, checkpoint
7488713 verified
{
"best_metric": 3.5649592876434326,
"best_model_checkpoint": "/home/p318482/babyLM_controlled/models_trained/fr_clm/wikipedia_30/checkpoint-36000",
"epoch": 68.70638754696726,
"eval_steps": 2000,
"global_step": 64000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 2.1470746108427265,
"eval_loss": 7.138043403625488,
"eval_runtime": 0.8415,
"eval_samples_per_second": 1273.93,
"eval_steps_per_second": 79.621,
"step": 2000
},
{
"epoch": 4.294149221685453,
"grad_norm": 1.455039381980896,
"learning_rate": 1e-05,
"loss": 7.213,
"step": 4000
},
{
"epoch": 4.294149221685453,
"eval_loss": 5.8541717529296875,
"eval_runtime": 0.7753,
"eval_samples_per_second": 1382.676,
"eval_steps_per_second": 86.417,
"step": 4000
},
{
"epoch": 6.4412238325281805,
"eval_loss": 5.403579235076904,
"eval_runtime": 0.7542,
"eval_samples_per_second": 1421.437,
"eval_steps_per_second": 88.84,
"step": 6000
},
{
"epoch": 8.588298443370906,
"grad_norm": 3.117489814758301,
"learning_rate": 1.9997500000000003e-05,
"loss": 5.4304,
"step": 8000
},
{
"epoch": 8.588298443370906,
"eval_loss": 5.049880504608154,
"eval_runtime": 0.7597,
"eval_samples_per_second": 1411.127,
"eval_steps_per_second": 88.195,
"step": 8000
},
{
"epoch": 10.735373054213634,
"eval_loss": 4.760603427886963,
"eval_runtime": 0.7624,
"eval_samples_per_second": 1406.053,
"eval_steps_per_second": 87.878,
"step": 10000
},
{
"epoch": 12.882447665056361,
"grad_norm": 2.9511141777038574,
"learning_rate": 2.9995e-05,
"loss": 4.771,
"step": 12000
},
{
"epoch": 12.882447665056361,
"eval_loss": 4.517208576202393,
"eval_runtime": 0.764,
"eval_samples_per_second": 1403.097,
"eval_steps_per_second": 87.694,
"step": 12000
},
{
"epoch": 15.029522275899087,
"eval_loss": 4.3206024169921875,
"eval_runtime": 0.7595,
"eval_samples_per_second": 1411.435,
"eval_steps_per_second": 88.215,
"step": 14000
},
{
"epoch": 17.176596886741816,
"grad_norm": 2.955515146255493,
"learning_rate": 3.999e-05,
"loss": 4.2888,
"step": 16000
},
{
"epoch": 17.176596886741816,
"eval_loss": 4.152973175048828,
"eval_runtime": 0.8247,
"eval_samples_per_second": 1299.91,
"eval_steps_per_second": 81.244,
"step": 16000
},
{
"epoch": 19.32367149758454,
"eval_loss": 4.015476703643799,
"eval_runtime": 0.7501,
"eval_samples_per_second": 1429.237,
"eval_steps_per_second": 89.327,
"step": 18000
},
{
"epoch": 21.470746108427267,
"grad_norm": 3.0531320571899414,
"learning_rate": 4.99875e-05,
"loss": 3.9141,
"step": 20000
},
{
"epoch": 21.470746108427267,
"eval_loss": 3.896575927734375,
"eval_runtime": 0.768,
"eval_samples_per_second": 1395.843,
"eval_steps_per_second": 87.24,
"step": 20000
},
{
"epoch": 23.617820719269993,
"eval_loss": 3.8046905994415283,
"eval_runtime": 0.7601,
"eval_samples_per_second": 1410.272,
"eval_steps_per_second": 88.142,
"step": 22000
},
{
"epoch": 25.764895330112722,
"grad_norm": 3.089989185333252,
"learning_rate": 5.998250000000001e-05,
"loss": 3.6154,
"step": 24000
},
{
"epoch": 25.764895330112722,
"eval_loss": 3.7359092235565186,
"eval_runtime": 0.7778,
"eval_samples_per_second": 1378.238,
"eval_steps_per_second": 86.14,
"step": 24000
},
{
"epoch": 27.911969940955448,
"eval_loss": 3.6784231662750244,
"eval_runtime": 0.7541,
"eval_samples_per_second": 1421.491,
"eval_steps_per_second": 88.843,
"step": 26000
},
{
"epoch": 30.059044551798173,
"grad_norm": 3.3495922088623047,
"learning_rate": 6.997500000000001e-05,
"loss": 3.3661,
"step": 28000
},
{
"epoch": 30.059044551798173,
"eval_loss": 3.6360318660736084,
"eval_runtime": 0.7603,
"eval_samples_per_second": 1409.913,
"eval_steps_per_second": 88.12,
"step": 28000
},
{
"epoch": 32.2061191626409,
"eval_loss": 3.6019041538238525,
"eval_runtime": 0.7638,
"eval_samples_per_second": 1403.547,
"eval_steps_per_second": 87.722,
"step": 30000
},
{
"epoch": 34.35319377348363,
"grad_norm": 3.1256051063537598,
"learning_rate": 7.997250000000001e-05,
"loss": 3.1473,
"step": 32000
},
{
"epoch": 34.35319377348363,
"eval_loss": 3.5816054344177246,
"eval_runtime": 0.7628,
"eval_samples_per_second": 1405.391,
"eval_steps_per_second": 87.837,
"step": 32000
},
{
"epoch": 36.500268384326354,
"eval_loss": 3.5698702335357666,
"eval_runtime": 0.7617,
"eval_samples_per_second": 1407.381,
"eval_steps_per_second": 87.961,
"step": 34000
},
{
"epoch": 38.64734299516908,
"grad_norm": 2.921318769454956,
"learning_rate": 8.997000000000001e-05,
"loss": 2.9533,
"step": 36000
},
{
"epoch": 38.64734299516908,
"eval_loss": 3.5649592876434326,
"eval_runtime": 0.7607,
"eval_samples_per_second": 1409.149,
"eval_steps_per_second": 88.072,
"step": 36000
},
{
"epoch": 40.794417606011805,
"eval_loss": 3.5666539669036865,
"eval_runtime": 0.7558,
"eval_samples_per_second": 1418.297,
"eval_steps_per_second": 88.644,
"step": 38000
},
{
"epoch": 42.941492216854535,
"grad_norm": 3.202237129211426,
"learning_rate": 9.996500000000001e-05,
"loss": 2.777,
"step": 40000
},
{
"epoch": 42.941492216854535,
"eval_loss": 3.5746841430664062,
"eval_runtime": 0.7722,
"eval_samples_per_second": 1388.315,
"eval_steps_per_second": 86.77,
"step": 40000
},
{
"epoch": 45.088566827697264,
"eval_loss": 3.5878281593322754,
"eval_runtime": 0.7639,
"eval_samples_per_second": 1403.298,
"eval_steps_per_second": 87.706,
"step": 42000
},
{
"epoch": 47.235641438539986,
"grad_norm": 2.9902379512786865,
"learning_rate": 9.336e-05,
"loss": 2.6015,
"step": 44000
},
{
"epoch": 47.235641438539986,
"eval_loss": 3.6107263565063477,
"eval_runtime": 0.7601,
"eval_samples_per_second": 1410.262,
"eval_steps_per_second": 88.141,
"step": 44000
},
{
"epoch": 49.382716049382715,
"eval_loss": 3.6260793209075928,
"eval_runtime": 0.7605,
"eval_samples_per_second": 1409.681,
"eval_steps_per_second": 88.105,
"step": 46000
},
{
"epoch": 51.529790660225444,
"grad_norm": 3.1626901626586914,
"learning_rate": 8.669833333333334e-05,
"loss": 2.4429,
"step": 48000
},
{
"epoch": 51.529790660225444,
"eval_loss": 3.6414248943328857,
"eval_runtime": 0.7596,
"eval_samples_per_second": 1411.254,
"eval_steps_per_second": 88.203,
"step": 48000
},
{
"epoch": 53.676865271068166,
"eval_loss": 3.6636786460876465,
"eval_runtime": 0.7637,
"eval_samples_per_second": 1403.705,
"eval_steps_per_second": 87.732,
"step": 50000
},
{
"epoch": 55.823939881910896,
"grad_norm": 3.162830114364624,
"learning_rate": 8.003333333333333e-05,
"loss": 2.3125,
"step": 52000
},
{
"epoch": 55.823939881910896,
"eval_loss": 3.6777544021606445,
"eval_runtime": 0.7597,
"eval_samples_per_second": 1411.137,
"eval_steps_per_second": 88.196,
"step": 52000
},
{
"epoch": 57.971014492753625,
"eval_loss": 3.703284502029419,
"eval_runtime": 0.757,
"eval_samples_per_second": 1416.089,
"eval_steps_per_second": 88.506,
"step": 54000
},
{
"epoch": 60.11808910359635,
"grad_norm": 3.4666566848754883,
"learning_rate": 7.337000000000001e-05,
"loss": 2.1989,
"step": 56000
},
{
"epoch": 60.11808910359635,
"eval_loss": 3.7409818172454834,
"eval_runtime": 0.7476,
"eval_samples_per_second": 1433.993,
"eval_steps_per_second": 89.625,
"step": 56000
},
{
"epoch": 62.265163714439076,
"eval_loss": 3.7754786014556885,
"eval_runtime": 0.7506,
"eval_samples_per_second": 1428.237,
"eval_steps_per_second": 89.265,
"step": 58000
},
{
"epoch": 64.4122383252818,
"grad_norm": 3.3885388374328613,
"learning_rate": 6.670666666666668e-05,
"loss": 2.1044,
"step": 60000
},
{
"epoch": 64.4122383252818,
"eval_loss": 3.7875912189483643,
"eval_runtime": 0.7543,
"eval_samples_per_second": 1421.139,
"eval_steps_per_second": 88.821,
"step": 60000
},
{
"epoch": 66.55931293612453,
"eval_loss": 3.8081138134002686,
"eval_runtime": 0.7633,
"eval_samples_per_second": 1404.466,
"eval_steps_per_second": 87.779,
"step": 62000
},
{
"epoch": 68.70638754696726,
"grad_norm": 3.763136148452759,
"learning_rate": 6.004333333333334e-05,
"loss": 2.0257,
"step": 64000
},
{
"epoch": 68.70638754696726,
"eval_loss": 3.822213649749756,
"eval_runtime": 0.7598,
"eval_samples_per_second": 1410.912,
"eval_steps_per_second": 88.182,
"step": 64000
}
],
"logging_steps": 4000,
"max_steps": 100000,
"num_input_tokens_seen": 0,
"num_train_epochs": 108,
"save_steps": 4000,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 1.6543844929634304e+16,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}