16-clusters-balanced-1 / trainer_state.json
MHGanainy's picture
MHGanainy/16-clusters-balanced-1
fbf4c63 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.0,
"eval_steps": 500,
"global_step": 701,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.14265335235378032,
"grad_norm": 0.18888814747333527,
"learning_rate": 6.666666666666667e-06,
"loss": 2.3747,
"step": 100
},
{
"epoch": 0.28530670470756064,
"grad_norm": 0.19710859656333923,
"learning_rate": 1.3333333333333333e-05,
"loss": 2.3565,
"step": 200
},
{
"epoch": 0.42796005706134094,
"grad_norm": 0.3654402792453766,
"learning_rate": 2e-05,
"loss": 2.2623,
"step": 300
},
{
"epoch": 0.5706134094151213,
"grad_norm": 0.49523496627807617,
"learning_rate": 1.7084903626036743e-05,
"loss": 2.1081,
"step": 400
},
{
"epoch": 0.7132667617689016,
"grad_norm": 0.6492739319801331,
"learning_rate": 1.003917187804572e-05,
"loss": 2.0141,
"step": 500
},
{
"epoch": 0.8559201141226819,
"grad_norm": 0.6684784293174744,
"learning_rate": 2.9706021701242127e-06,
"loss": 1.9425,
"step": 600
},
{
"epoch": 0.9985734664764622,
"grad_norm": 0.7805252075195312,
"learning_rate": 3.068872059253103e-10,
"loss": 1.8983,
"step": 700
},
{
"epoch": 1.0,
"step": 701,
"total_flos": 1.27303437975552e+16,
"train_loss": 2.136012787315543,
"train_runtime": 218.6299,
"train_samples_per_second": 6.408,
"train_steps_per_second": 3.206
}
],
"logging_steps": 100,
"max_steps": 701,
"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": 1.27303437975552e+16,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}