htlou's picture
Upload folder using huggingface_hub
6926959 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 3.0,
"eval_steps": 50,
"global_step": 111,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.13513513513513514,
"grad_norm": 18.24598685517398,
"learning_rate": 5e-07,
"loss": 1.7167,
"step": 5
},
{
"epoch": 0.2702702702702703,
"grad_norm": 12.725400800060369,
"learning_rate": 1e-06,
"loss": 1.5798,
"step": 10
},
{
"epoch": 0.40540540540540543,
"grad_norm": 10.09031183252554,
"learning_rate": 9.939652198703783e-07,
"loss": 1.2993,
"step": 15
},
{
"epoch": 0.5405405405405406,
"grad_norm": 4.301913372512592,
"learning_rate": 9.76006553766365e-07,
"loss": 1.1471,
"step": 20
},
{
"epoch": 0.6756756756756757,
"grad_norm": 4.127159967721974,
"learning_rate": 9.465575080933957e-07,
"loss": 1.0671,
"step": 25
},
{
"epoch": 0.8108108108108109,
"grad_norm": 3.7189876826316546,
"learning_rate": 9.063289569141251e-07,
"loss": 1.0305,
"step": 30
},
{
"epoch": 0.9459459459459459,
"grad_norm": 3.6454444504894727,
"learning_rate": 8.562919820737535e-07,
"loss": 1.0007,
"step": 35
},
{
"epoch": 1.0810810810810811,
"grad_norm": 3.406922222433217,
"learning_rate": 7.97654432138333e-07,
"loss": 0.946,
"step": 40
},
{
"epoch": 1.2162162162162162,
"grad_norm": 3.392252157242342,
"learning_rate": 7.318317659926636e-07,
"loss": 0.9231,
"step": 45
},
{
"epoch": 1.3513513513513513,
"grad_norm": 3.6984654109661985,
"learning_rate": 6.604128849076838e-07,
"loss": 0.9036,
"step": 50
},
{
"epoch": 1.3513513513513513,
"eval_loss": 0.9227461814880371,
"eval_runtime": 18.9023,
"eval_samples_per_second": 55.549,
"eval_steps_per_second": 0.899,
"step": 50
},
{
"epoch": 1.4864864864864864,
"grad_norm": 3.3956890906900323,
"learning_rate": 5.851217778611993e-07,
"loss": 0.8885,
"step": 55
},
{
"epoch": 1.6216216216216215,
"grad_norm": 3.3729167181306634,
"learning_rate": 5.077759059601755e-07,
"loss": 0.8794,
"step": 60
},
{
"epoch": 1.7567567567567568,
"grad_norm": 3.4187464621946004,
"learning_rate": 4.302423305280385e-07,
"loss": 0.879,
"step": 65
},
{
"epoch": 1.8918918918918919,
"grad_norm": 3.4454278618775174,
"learning_rate": 3.54392643886374e-07,
"loss": 0.8643,
"step": 70
},
{
"epoch": 2.027027027027027,
"grad_norm": 3.9861061655783137,
"learning_rate": 2.8205779076231446e-07,
"loss": 0.8416,
"step": 75
},
{
"epoch": 2.1621621621621623,
"grad_norm": 3.318571264456712,
"learning_rate": 2.1498387089310865e-07,
"loss": 0.8208,
"step": 80
},
{
"epoch": 2.2972972972972974,
"grad_norm": 3.517096902631208,
"learning_rate": 1.5478998971412666e-07,
"loss": 0.7978,
"step": 85
},
{
"epoch": 2.4324324324324325,
"grad_norm": 3.471438197905033,
"learning_rate": 1.0292917457762323e-07,
"loss": 0.8326,
"step": 90
},
{
"epoch": 2.5675675675675675,
"grad_norm": 3.4399400874271566,
"learning_rate": 6.065329995036572e-08,
"loss": 0.8153,
"step": 95
},
{
"epoch": 2.7027027027027026,
"grad_norm": 3.7525998804223675,
"learning_rate": 2.8982868265005454e-08,
"loss": 0.7997,
"step": 100
},
{
"epoch": 2.7027027027027026,
"eval_loss": 0.8954470157623291,
"eval_runtime": 18.4984,
"eval_samples_per_second": 56.762,
"eval_steps_per_second": 0.919,
"step": 100
},
{
"epoch": 2.8378378378378377,
"grad_norm": 3.3167347885160554,
"learning_rate": 8.682375888868166e-09,
"loss": 0.7965,
"step": 105
},
{
"epoch": 2.972972972972973,
"grad_norm": 3.93684166254045,
"learning_rate": 2.418588540059607e-10,
"loss": 0.8273,
"step": 110
},
{
"epoch": 3.0,
"step": 111,
"total_flos": 654272366641152.0,
"train_loss": 0.9825769034591881,
"train_runtime": 1528.2927,
"train_samples_per_second": 18.55,
"train_steps_per_second": 0.073
}
],
"logging_steps": 5,
"max_steps": 111,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 10000,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 654272366641152.0,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}