htlou's picture
Upload folder using huggingface_hub
637cbe8 verified
raw
history blame
4.57 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.146131805157593,
"eval_steps": 50,
"global_step": 100,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.05730659025787966,
"grad_norm": 13.615523112232149,
"learning_rate": 5e-07,
"loss": 1.2695,
"step": 5
},
{
"epoch": 0.11461318051575932,
"grad_norm": 8.507104558172857,
"learning_rate": 1e-06,
"loss": 1.1722,
"step": 10
},
{
"epoch": 0.17191977077363896,
"grad_norm": 5.216528499988659,
"learning_rate": 9.990212076323586e-07,
"loss": 1.067,
"step": 15
},
{
"epoch": 0.22922636103151864,
"grad_norm": 3.9965836016587044,
"learning_rate": 9.9608866266743e-07,
"loss": 1.0137,
"step": 20
},
{
"epoch": 0.28653295128939826,
"grad_norm": 3.90312687677931,
"learning_rate": 9.912138465157323e-07,
"loss": 1.0128,
"step": 25
},
{
"epoch": 0.3438395415472779,
"grad_norm": 3.5852669105149593,
"learning_rate": 9.84415844908637e-07,
"loss": 0.9835,
"step": 30
},
{
"epoch": 0.40114613180515757,
"grad_norm": 3.544317847930178,
"learning_rate": 9.757212731744973e-07,
"loss": 0.967,
"step": 35
},
{
"epoch": 0.4584527220630373,
"grad_norm": 3.581414511816451,
"learning_rate": 9.65164172035126e-07,
"loss": 0.9694,
"step": 40
},
{
"epoch": 0.5157593123209169,
"grad_norm": 3.4337266155445634,
"learning_rate": 9.527858743306018e-07,
"loss": 0.9532,
"step": 45
},
{
"epoch": 0.5730659025787965,
"grad_norm": 3.4769930108810807,
"learning_rate": 9.386348431941952e-07,
"loss": 0.9472,
"step": 50
},
{
"epoch": 0.5730659025787965,
"eval_loss": 0.9284669160842896,
"eval_runtime": 42.918,
"eval_samples_per_second": 57.761,
"eval_steps_per_second": 0.909,
"step": 50
},
{
"epoch": 0.6303724928366762,
"grad_norm": 3.550987444482616,
"learning_rate": 9.227664823109882e-07,
"loss": 0.9391,
"step": 55
},
{
"epoch": 0.6876790830945558,
"grad_norm": 3.4297326670171917,
"learning_rate": 9.052429190030588e-07,
"loss": 0.9422,
"step": 60
},
{
"epoch": 0.7449856733524355,
"grad_norm": 3.507501066789746,
"learning_rate": 8.861327609904857e-07,
"loss": 0.9428,
"step": 65
},
{
"epoch": 0.8022922636103151,
"grad_norm": 3.5906687662141117,
"learning_rate": 8.655108277804975e-07,
"loss": 0.9253,
"step": 70
},
{
"epoch": 0.8595988538681948,
"grad_norm": 3.500303702885294,
"learning_rate": 8.434578577364217e-07,
"loss": 0.9285,
"step": 75
},
{
"epoch": 0.9169054441260746,
"grad_norm": 3.9526314008449996,
"learning_rate": 8.200601919733105e-07,
"loss": 0.8996,
"step": 80
},
{
"epoch": 0.9742120343839542,
"grad_norm": 3.516323615141867,
"learning_rate": 7.954094363178421e-07,
"loss": 0.895,
"step": 85
},
{
"epoch": 1.0315186246418337,
"grad_norm": 4.35173055618085,
"learning_rate": 7.696021026559849e-07,
"loss": 0.8505,
"step": 90
},
{
"epoch": 1.0888252148997135,
"grad_norm": 4.085589351210672,
"learning_rate": 7.427392310726087e-07,
"loss": 0.7964,
"step": 95
},
{
"epoch": 1.146131805157593,
"grad_norm": 3.9343561192796934,
"learning_rate": 7.149259942624286e-07,
"loss": 0.7918,
"step": 100
},
{
"epoch": 1.146131805157593,
"eval_loss": 0.8878653049468994,
"eval_runtime": 42.3514,
"eval_samples_per_second": 58.534,
"eval_steps_per_second": 0.921,
"step": 100
}
],
"logging_steps": 5,
"max_steps": 261,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 100,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 589411381149696.0,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}