Utkarsh524's picture
Add QLoRA adapters + tokenizer (8-bit run)
af6b9d0 verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 3.987034713508992,
"eval_steps": 500,
"global_step": 1192,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.1672940192388122,
"grad_norm": 0.03940200433135033,
"learning_rate": 0.0001917785234899329,
"loss": 0.388,
"step": 50
},
{
"epoch": 0.3345880384776244,
"grad_norm": 0.03866202384233475,
"learning_rate": 0.00018338926174496644,
"loss": 0.3472,
"step": 100
},
{
"epoch": 0.5018820577164367,
"grad_norm": 0.040275849401950836,
"learning_rate": 0.000175,
"loss": 0.3506,
"step": 150
},
{
"epoch": 0.6691760769552488,
"grad_norm": 0.03893669694662094,
"learning_rate": 0.00016661073825503358,
"loss": 0.3398,
"step": 200
},
{
"epoch": 0.8364700961940611,
"grad_norm": 0.03782316669821739,
"learning_rate": 0.0001582214765100671,
"loss": 0.3371,
"step": 250
},
{
"epoch": 1.0033458803847763,
"grad_norm": 0.03445591777563095,
"learning_rate": 0.00014983221476510067,
"loss": 0.3301,
"step": 300
},
{
"epoch": 1.1706398996235885,
"grad_norm": 0.042704977095127106,
"learning_rate": 0.00014144295302013425,
"loss": 0.317,
"step": 350
},
{
"epoch": 1.3379339188624007,
"grad_norm": 0.04385839030146599,
"learning_rate": 0.0001330536912751678,
"loss": 0.3148,
"step": 400
},
{
"epoch": 1.5052279381012128,
"grad_norm": 0.04302438348531723,
"learning_rate": 0.00012466442953020134,
"loss": 0.3159,
"step": 450
},
{
"epoch": 1.6725219573400252,
"grad_norm": 0.05040173605084419,
"learning_rate": 0.0001162751677852349,
"loss": 0.3271,
"step": 500
},
{
"epoch": 1.8398159765788373,
"grad_norm": 0.05767366662621498,
"learning_rate": 0.00010788590604026847,
"loss": 0.3133,
"step": 550
},
{
"epoch": 2.0066917607695527,
"grad_norm": 0.04548301920294762,
"learning_rate": 9.949664429530202e-05,
"loss": 0.315,
"step": 600
},
{
"epoch": 2.1739857800083646,
"grad_norm": 0.05534046143293381,
"learning_rate": 9.110738255033557e-05,
"loss": 0.3001,
"step": 650
},
{
"epoch": 2.341279799247177,
"grad_norm": 0.054814413189888,
"learning_rate": 8.271812080536914e-05,
"loss": 0.2985,
"step": 700
},
{
"epoch": 2.5085738184859894,
"grad_norm": 0.0619826577603817,
"learning_rate": 7.432885906040269e-05,
"loss": 0.2939,
"step": 750
},
{
"epoch": 2.6758678377248013,
"grad_norm": 0.06426603347063065,
"learning_rate": 6.593959731543624e-05,
"loss": 0.2968,
"step": 800
},
{
"epoch": 2.8431618569636137,
"grad_norm": 0.05984446406364441,
"learning_rate": 5.7550335570469805e-05,
"loss": 0.3063,
"step": 850
},
{
"epoch": 3.010037641154329,
"grad_norm": 0.06274156272411346,
"learning_rate": 4.9161073825503354e-05,
"loss": 0.3021,
"step": 900
},
{
"epoch": 3.1773316603931407,
"grad_norm": 0.08778294175863266,
"learning_rate": 4.077181208053692e-05,
"loss": 0.2803,
"step": 950
},
{
"epoch": 3.344625679631953,
"grad_norm": 0.07436411827802658,
"learning_rate": 3.238255033557047e-05,
"loss": 0.2835,
"step": 1000
},
{
"epoch": 3.5119196988707655,
"grad_norm": 0.05694897472858429,
"learning_rate": 2.3993288590604026e-05,
"loss": 0.2859,
"step": 1050
},
{
"epoch": 3.6792137181095774,
"grad_norm": 0.0587756410241127,
"learning_rate": 1.5604026845637585e-05,
"loss": 0.2863,
"step": 1100
},
{
"epoch": 3.84650773734839,
"grad_norm": 0.0690668448805809,
"learning_rate": 7.214765100671142e-06,
"loss": 0.2954,
"step": 1150
}
],
"logging_steps": 50,
"max_steps": 1192,
"num_input_tokens_seen": 0,
"num_train_epochs": 4,
"save_steps": 200,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 7.779324622389903e+17,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}