hoang14's picture
Upload folder using huggingface_hub
75bcf3e verified
raw
history blame
5.56 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.0,
"eval_steps": 500,
"global_step": 157,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.03184713375796178,
"grad_norm": 40.78604947627245,
"learning_rate": 2e-05,
"loss": 3.5775,
"step": 5
},
{
"epoch": 0.06369426751592357,
"grad_norm": 8.368950744101049,
"learning_rate": 2e-05,
"loss": 1.1247,
"step": 10
},
{
"epoch": 0.09554140127388536,
"grad_norm": 9.457819678472001,
"learning_rate": 2e-05,
"loss": 0.7369,
"step": 15
},
{
"epoch": 0.12738853503184713,
"grad_norm": 5.641687715871123,
"learning_rate": 2e-05,
"loss": 0.5158,
"step": 20
},
{
"epoch": 0.1592356687898089,
"grad_norm": 5.418478301114858,
"learning_rate": 2e-05,
"loss": 0.4339,
"step": 25
},
{
"epoch": 0.1910828025477707,
"grad_norm": 5.045194163255571,
"learning_rate": 2e-05,
"loss": 0.463,
"step": 30
},
{
"epoch": 0.2229299363057325,
"grad_norm": 4.781645335845452,
"learning_rate": 2e-05,
"loss": 0.3769,
"step": 35
},
{
"epoch": 0.25477707006369427,
"grad_norm": 5.347347835798862,
"learning_rate": 2e-05,
"loss": 0.3619,
"step": 40
},
{
"epoch": 0.28662420382165604,
"grad_norm": 4.246397453328318,
"learning_rate": 2e-05,
"loss": 0.3027,
"step": 45
},
{
"epoch": 0.3184713375796178,
"grad_norm": 4.33165925517153,
"learning_rate": 2e-05,
"loss": 0.2415,
"step": 50
},
{
"epoch": 0.3503184713375796,
"grad_norm": 3.844921413622979,
"learning_rate": 2e-05,
"loss": 0.2504,
"step": 55
},
{
"epoch": 0.3821656050955414,
"grad_norm": 6.45954282043095,
"learning_rate": 2e-05,
"loss": 0.2317,
"step": 60
},
{
"epoch": 0.4140127388535032,
"grad_norm": 4.385098986777501,
"learning_rate": 2e-05,
"loss": 0.2197,
"step": 65
},
{
"epoch": 0.445859872611465,
"grad_norm": 4.208753643886586,
"learning_rate": 2e-05,
"loss": 0.2132,
"step": 70
},
{
"epoch": 0.47770700636942676,
"grad_norm": 2.771863737776465,
"learning_rate": 2e-05,
"loss": 0.2171,
"step": 75
},
{
"epoch": 0.5095541401273885,
"grad_norm": 2.34352087689591,
"learning_rate": 2e-05,
"loss": 0.2368,
"step": 80
},
{
"epoch": 0.5414012738853503,
"grad_norm": 2.837909679350126,
"learning_rate": 2e-05,
"loss": 0.2246,
"step": 85
},
{
"epoch": 0.5732484076433121,
"grad_norm": 4.432629271419918,
"learning_rate": 2e-05,
"loss": 0.2425,
"step": 90
},
{
"epoch": 0.6050955414012739,
"grad_norm": 2.0628378042750244,
"learning_rate": 2e-05,
"loss": 0.2084,
"step": 95
},
{
"epoch": 0.6369426751592356,
"grad_norm": 3.2999762267826993,
"learning_rate": 2e-05,
"loss": 0.1822,
"step": 100
},
{
"epoch": 0.6687898089171974,
"grad_norm": 1.7122002214796863,
"learning_rate": 2e-05,
"loss": 0.1756,
"step": 105
},
{
"epoch": 0.7006369426751592,
"grad_norm": 3.2760105813071396,
"learning_rate": 2e-05,
"loss": 0.2213,
"step": 110
},
{
"epoch": 0.732484076433121,
"grad_norm": 3.283904309843202,
"learning_rate": 2e-05,
"loss": 0.2022,
"step": 115
},
{
"epoch": 0.7643312101910829,
"grad_norm": 2.600480873861268,
"learning_rate": 2e-05,
"loss": 0.2137,
"step": 120
},
{
"epoch": 0.7961783439490446,
"grad_norm": 2.81626515746397,
"learning_rate": 2e-05,
"loss": 0.1902,
"step": 125
},
{
"epoch": 0.8280254777070064,
"grad_norm": 3.7954679627760846,
"learning_rate": 2e-05,
"loss": 0.1856,
"step": 130
},
{
"epoch": 0.8598726114649682,
"grad_norm": 3.872799664454645,
"learning_rate": 2e-05,
"loss": 0.1763,
"step": 135
},
{
"epoch": 0.89171974522293,
"grad_norm": 3.284248984016964,
"learning_rate": 2e-05,
"loss": 0.1994,
"step": 140
},
{
"epoch": 0.9235668789808917,
"grad_norm": 3.307812812852979,
"learning_rate": 2e-05,
"loss": 0.1542,
"step": 145
},
{
"epoch": 0.9554140127388535,
"grad_norm": 3.4547396546144338,
"learning_rate": 2e-05,
"loss": 0.1916,
"step": 150
},
{
"epoch": 0.9872611464968153,
"grad_norm": 2.4075546087603814,
"learning_rate": 2e-05,
"loss": 0.1619,
"step": 155
}
],
"logging_steps": 5,
"max_steps": 314,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"save_steps": 157,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 1351253753856.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}