DataSentinel / trainer_state.json
kevinG's picture
Upload 8 files
bb5bb4b verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.05,
"eval_steps": 100,
"global_step": 500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0025,
"grad_norm": 3.0887749195098877,
"learning_rate": 2.384538152610442e-06,
"loss": 0.7185,
"step": 25
},
{
"epoch": 0.005,
"grad_norm": 3.3972108364105225,
"learning_rate": 2.2590361445783136e-06,
"loss": 0.7207,
"step": 50
},
{
"epoch": 0.0075,
"grad_norm": 2.799666166305542,
"learning_rate": 2.1335341365461848e-06,
"loss": 0.6349,
"step": 75
},
{
"epoch": 0.01,
"grad_norm": 2.892286539077759,
"learning_rate": 2.0080321285140564e-06,
"loss": 0.609,
"step": 100
},
{
"epoch": 0.01,
"eval_loss": 0.9785426259040833,
"eval_runtime": 50.0276,
"eval_samples_per_second": 0.999,
"eval_steps_per_second": 0.14,
"step": 100
},
{
"epoch": 0.0125,
"grad_norm": 2.4466898441314697,
"learning_rate": 1.882530120481928e-06,
"loss": 0.6208,
"step": 125
},
{
"epoch": 0.015,
"grad_norm": 2.5951688289642334,
"learning_rate": 1.7570281124497993e-06,
"loss": 0.6043,
"step": 150
},
{
"epoch": 0.0175,
"grad_norm": 2.5070278644561768,
"learning_rate": 1.6315261044176709e-06,
"loss": 0.6723,
"step": 175
},
{
"epoch": 0.02,
"grad_norm": 2.5609757900238037,
"learning_rate": 1.5060240963855425e-06,
"loss": 0.5984,
"step": 200
},
{
"epoch": 0.02,
"eval_loss": 0.985219419002533,
"eval_runtime": 49.8634,
"eval_samples_per_second": 1.003,
"eval_steps_per_second": 0.14,
"step": 200
},
{
"epoch": 0.0225,
"grad_norm": 3.5456857681274414,
"learning_rate": 1.3805220883534137e-06,
"loss": 0.5879,
"step": 225
},
{
"epoch": 0.025,
"grad_norm": 3.7330322265625,
"learning_rate": 1.2550200803212854e-06,
"loss": 0.604,
"step": 250
},
{
"epoch": 0.0275,
"grad_norm": 2.9475417137145996,
"learning_rate": 1.1295180722891568e-06,
"loss": 0.545,
"step": 275
},
{
"epoch": 0.03,
"grad_norm": 5.689638137817383,
"learning_rate": 1.0040160642570282e-06,
"loss": 0.5419,
"step": 300
},
{
"epoch": 0.03,
"eval_loss": 0.9883354306221008,
"eval_runtime": 49.9109,
"eval_samples_per_second": 1.002,
"eval_steps_per_second": 0.14,
"step": 300
},
{
"epoch": 0.0325,
"grad_norm": 4.0419721603393555,
"learning_rate": 8.785140562248996e-07,
"loss": 0.52,
"step": 325
},
{
"epoch": 0.035,
"grad_norm": 4.243961811065674,
"learning_rate": 7.530120481927713e-07,
"loss": 0.6001,
"step": 350
},
{
"epoch": 0.0375,
"grad_norm": 3.7675397396087646,
"learning_rate": 6.275100401606427e-07,
"loss": 0.5309,
"step": 375
},
{
"epoch": 0.04,
"grad_norm": 2.4450817108154297,
"learning_rate": 5.020080321285141e-07,
"loss": 0.5738,
"step": 400
},
{
"epoch": 0.04,
"eval_loss": 0.9952414035797119,
"eval_runtime": 50.0075,
"eval_samples_per_second": 1.0,
"eval_steps_per_second": 0.14,
"step": 400
},
{
"epoch": 0.0425,
"grad_norm": 3.5277650356292725,
"learning_rate": 3.7650602409638563e-07,
"loss": 0.6085,
"step": 425
},
{
"epoch": 0.045,
"grad_norm": 4.167781829833984,
"learning_rate": 2.5100401606425705e-07,
"loss": 0.6188,
"step": 450
},
{
"epoch": 0.0475,
"grad_norm": 3.9890384674072266,
"learning_rate": 1.2550200803212853e-07,
"loss": 0.5281,
"step": 475
},
{
"epoch": 0.05,
"grad_norm": 4.777990341186523,
"learning_rate": 0.0,
"loss": 0.6808,
"step": 500
},
{
"epoch": 0.05,
"eval_loss": 0.9945573210716248,
"eval_runtime": 50.1662,
"eval_samples_per_second": 0.997,
"eval_steps_per_second": 0.14,
"step": 500
}
],
"logging_steps": 25,
"max_steps": 500,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"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": 1.1052597116928e+16,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}