age_random / checkpoint-44000 /trainer_state.json
fpadovani's picture
Training in progress, step 44000, checkpoint
a9d0143 verified
{
"best_metric": 3.518353223800659,
"best_model_checkpoint": "/Users/frapadovani/Desktop/babyLM_controlled/models_trained/reduce_on_plateau_convergence/age_random/checkpoint-44000",
"epoch": 0.2328276387573354,
"eval_steps": 2000,
"global_step": 44000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.010583074488969791,
"grad_norm": 1.3282362222671509,
"learning_rate": 0.0001,
"loss": 4.8574,
"step": 2000
},
{
"epoch": 0.010583074488969791,
"eval_loss": 4.1984477043151855,
"eval_runtime": 2.3492,
"eval_samples_per_second": 744.941,
"eval_steps_per_second": 46.825,
"step": 2000
},
{
"epoch": 0.021166148977939583,
"grad_norm": 1.406479835510254,
"learning_rate": 0.0001,
"loss": 4.145,
"step": 4000
},
{
"epoch": 0.021166148977939583,
"eval_loss": 3.9832916259765625,
"eval_runtime": 2.1928,
"eval_samples_per_second": 798.069,
"eval_steps_per_second": 50.164,
"step": 4000
},
{
"epoch": 0.03174922346690937,
"grad_norm": 1.4979146718978882,
"learning_rate": 0.0001,
"loss": 3.9948,
"step": 6000
},
{
"epoch": 0.03174922346690937,
"eval_loss": 3.872448444366455,
"eval_runtime": 2.0908,
"eval_samples_per_second": 837.0,
"eval_steps_per_second": 52.611,
"step": 6000
},
{
"epoch": 0.042332297955879165,
"grad_norm": 1.4652293920516968,
"learning_rate": 0.0001,
"loss": 3.9047,
"step": 8000
},
{
"epoch": 0.042332297955879165,
"eval_loss": 3.8042104244232178,
"eval_runtime": 2.0939,
"eval_samples_per_second": 835.759,
"eval_steps_per_second": 52.533,
"step": 8000
},
{
"epoch": 0.05291537244484895,
"grad_norm": 1.523988127708435,
"learning_rate": 0.0001,
"loss": 3.8428,
"step": 10000
},
{
"epoch": 0.05291537244484895,
"eval_loss": 3.751901149749756,
"eval_runtime": 2.1539,
"eval_samples_per_second": 812.471,
"eval_steps_per_second": 51.07,
"step": 10000
},
{
"epoch": 0.06349844693381874,
"grad_norm": 1.6126410961151123,
"learning_rate": 0.0001,
"loss": 3.7955,
"step": 12000
},
{
"epoch": 0.06349844693381874,
"eval_loss": 3.71409010887146,
"eval_runtime": 2.0662,
"eval_samples_per_second": 846.973,
"eval_steps_per_second": 53.238,
"step": 12000
},
{
"epoch": 0.07408152142278854,
"grad_norm": 1.656988263130188,
"learning_rate": 0.0001,
"loss": 3.7557,
"step": 14000
},
{
"epoch": 0.07408152142278854,
"eval_loss": 3.6855504512786865,
"eval_runtime": 2.0523,
"eval_samples_per_second": 852.711,
"eval_steps_per_second": 53.599,
"step": 14000
},
{
"epoch": 0.08466459591175833,
"grad_norm": 1.6087511777877808,
"learning_rate": 0.0001,
"loss": 3.725,
"step": 16000
},
{
"epoch": 0.08466459591175833,
"eval_loss": 3.658583164215088,
"eval_runtime": 2.1352,
"eval_samples_per_second": 819.607,
"eval_steps_per_second": 51.518,
"step": 16000
},
{
"epoch": 0.09524767040072811,
"grad_norm": 1.6472262144088745,
"learning_rate": 0.0001,
"loss": 3.6947,
"step": 18000
},
{
"epoch": 0.09524767040072811,
"eval_loss": 3.638516664505005,
"eval_runtime": 95.757,
"eval_samples_per_second": 18.275,
"eval_steps_per_second": 1.149,
"step": 18000
},
{
"epoch": 0.1058307448896979,
"grad_norm": 1.6628919839859009,
"learning_rate": 0.0001,
"loss": 3.6726,
"step": 20000
},
{
"epoch": 0.1058307448896979,
"eval_loss": 3.622284412384033,
"eval_runtime": 2.1518,
"eval_samples_per_second": 813.27,
"eval_steps_per_second": 51.12,
"step": 20000
},
{
"epoch": 0.1164138193786677,
"grad_norm": 1.5287901163101196,
"learning_rate": 0.0001,
"loss": 3.6556,
"step": 22000
},
{
"epoch": 0.1164138193786677,
"eval_loss": 3.6024463176727295,
"eval_runtime": 2.0124,
"eval_samples_per_second": 869.594,
"eval_steps_per_second": 54.66,
"step": 22000
},
{
"epoch": 0.1269968938676375,
"grad_norm": 1.6352204084396362,
"learning_rate": 0.0001,
"loss": 3.6309,
"step": 24000
},
{
"epoch": 0.1269968938676375,
"eval_loss": 3.5923054218292236,
"eval_runtime": 2.0331,
"eval_samples_per_second": 860.735,
"eval_steps_per_second": 54.103,
"step": 24000
},
{
"epoch": 0.13757996835660727,
"grad_norm": 1.5545786619186401,
"learning_rate": 0.0001,
"loss": 3.619,
"step": 26000
},
{
"epoch": 0.13757996835660727,
"eval_loss": 3.5808773040771484,
"eval_runtime": 2.1131,
"eval_samples_per_second": 828.175,
"eval_steps_per_second": 52.057,
"step": 26000
},
{
"epoch": 0.14816304284557708,
"grad_norm": 1.6340019702911377,
"learning_rate": 0.0001,
"loss": 3.6045,
"step": 28000
},
{
"epoch": 0.14816304284557708,
"eval_loss": 3.5688397884368896,
"eval_runtime": 2.0238,
"eval_samples_per_second": 864.697,
"eval_steps_per_second": 54.352,
"step": 28000
},
{
"epoch": 0.15874611733454685,
"grad_norm": 1.6332552433013916,
"learning_rate": 0.0001,
"loss": 3.5854,
"step": 30000
},
{
"epoch": 0.15874611733454685,
"eval_loss": 3.5667507648468018,
"eval_runtime": 1.9535,
"eval_samples_per_second": 895.836,
"eval_steps_per_second": 56.31,
"step": 30000
},
{
"epoch": 0.16932919182351666,
"grad_norm": 1.6340084075927734,
"learning_rate": 0.0001,
"loss": 3.5793,
"step": 32000
},
{
"epoch": 0.16932919182351666,
"eval_loss": 3.557473659515381,
"eval_runtime": 2.0124,
"eval_samples_per_second": 869.611,
"eval_steps_per_second": 54.661,
"step": 32000
},
{
"epoch": 0.17991226631248644,
"grad_norm": 1.5192989110946655,
"learning_rate": 0.0001,
"loss": 3.5685,
"step": 34000
},
{
"epoch": 0.17991226631248644,
"eval_loss": 3.545267343521118,
"eval_runtime": 1.995,
"eval_samples_per_second": 877.2,
"eval_steps_per_second": 55.138,
"step": 34000
},
{
"epoch": 0.19049534080145622,
"grad_norm": 1.5996226072311401,
"learning_rate": 0.0001,
"loss": 3.556,
"step": 36000
},
{
"epoch": 0.19049534080145622,
"eval_loss": 3.540522336959839,
"eval_runtime": 1.9783,
"eval_samples_per_second": 884.601,
"eval_steps_per_second": 55.603,
"step": 36000
},
{
"epoch": 0.20107841529042603,
"grad_norm": 1.5821503400802612,
"learning_rate": 0.0001,
"loss": 3.5475,
"step": 38000
},
{
"epoch": 0.20107841529042603,
"eval_loss": 3.533203125,
"eval_runtime": 1.9335,
"eval_samples_per_second": 905.095,
"eval_steps_per_second": 56.892,
"step": 38000
},
{
"epoch": 0.2116614897793958,
"grad_norm": 1.63215970993042,
"learning_rate": 0.0001,
"loss": 3.5358,
"step": 40000
},
{
"epoch": 0.2116614897793958,
"eval_loss": 3.5292651653289795,
"eval_runtime": 2.0497,
"eval_samples_per_second": 853.794,
"eval_steps_per_second": 53.667,
"step": 40000
},
{
"epoch": 0.2222445642683656,
"grad_norm": 1.6347813606262207,
"learning_rate": 0.0001,
"loss": 3.5305,
"step": 42000
},
{
"epoch": 0.2222445642683656,
"eval_loss": 3.5237081050872803,
"eval_runtime": 2.0264,
"eval_samples_per_second": 863.619,
"eval_steps_per_second": 54.285,
"step": 42000
},
{
"epoch": 0.2328276387573354,
"grad_norm": 1.617659091949463,
"learning_rate": 0.0001,
"loss": 3.5257,
"step": 44000
},
{
"epoch": 0.2328276387573354,
"eval_loss": 3.518353223800659,
"eval_runtime": 2.0166,
"eval_samples_per_second": 867.799,
"eval_steps_per_second": 54.547,
"step": 44000
}
],
"logging_steps": 2000,
"max_steps": 188981,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 2000,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 3,
"early_stopping_threshold": 0.001
},
"attributes": {
"early_stopping_patience_counter": 0
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 428938811006976.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}