TongZheng1999's picture
Upload folder using huggingface_hub
2867a30 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.9980636237897649,
"eval_steps": 23,
"global_step": 451,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.05089903181189488,
"grad_norm": 0.7468199729919434,
"learning_rate": 0.001825741858350554,
"loss": 1.4222,
"step": 23
},
{
"epoch": 0.10179806362378976,
"grad_norm": 0.33098104596138,
"learning_rate": 0.0008451542547285166,
"loss": 1.2833,
"step": 46
},
{
"epoch": 0.15269709543568466,
"grad_norm": 0.3552784323692322,
"learning_rate": 0.0006262242910851496,
"loss": 1.095,
"step": 69
},
{
"epoch": 0.20359612724757953,
"grad_norm": 0.32930678129196167,
"learning_rate": 0.0005198752449100363,
"loss": 1.0648,
"step": 92
},
{
"epoch": 0.2544951590594744,
"grad_norm": 0.32375234365463257,
"learning_rate": 0.0004540766091864998,
"loss": 1.0184,
"step": 115
},
{
"epoch": 0.3053941908713693,
"grad_norm": 0.37444040179252625,
"learning_rate": 0.0004082482904638631,
"loss": 1.0037,
"step": 138
},
{
"epoch": 0.3562932226832642,
"grad_norm": 0.398503839969635,
"learning_rate": 0.00037397879600338285,
"loss": 0.9613,
"step": 161
},
{
"epoch": 0.40719225449515906,
"grad_norm": 0.36333534121513367,
"learning_rate": 0.00034710506725031166,
"loss": 0.9395,
"step": 184
},
{
"epoch": 0.4580912863070539,
"grad_norm": 0.3362521231174469,
"learning_rate": 0.0003253000243161777,
"loss": 0.929,
"step": 207
},
{
"epoch": 0.5089903181189488,
"grad_norm": 0.3286592960357666,
"learning_rate": 0.0003071475584169756,
"loss": 0.9067,
"step": 230
},
{
"epoch": 0.5598893499308437,
"grad_norm": 0.37335479259490967,
"learning_rate": 0.0002917299829957891,
"loss": 0.8955,
"step": 253
},
{
"epoch": 0.6107883817427386,
"grad_norm": 0.3964427411556244,
"learning_rate": 0.0002784230231948523,
"loss": 0.8665,
"step": 276
},
{
"epoch": 0.6616874135546335,
"grad_norm": 0.39572906494140625,
"learning_rate": 0.0002667852642561041,
"loss": 0.8622,
"step": 299
},
{
"epoch": 0.7125864453665284,
"grad_norm": 0.4889402389526367,
"learning_rate": 0.0002564945880212886,
"loss": 0.8716,
"step": 322
},
{
"epoch": 0.7634854771784232,
"grad_norm": 0.3482915163040161,
"learning_rate": 0.00024730968341474897,
"loss": 0.8326,
"step": 345
},
{
"epoch": 0.8143845089903181,
"grad_norm": 0.4124608337879181,
"learning_rate": 0.00023904572186687873,
"loss": 0.8199,
"step": 368
},
{
"epoch": 0.865283540802213,
"grad_norm": 0.3616255819797516,
"learning_rate": 0.00023155842232374464,
"loss": 0.8103,
"step": 391
},
{
"epoch": 0.9161825726141078,
"grad_norm": 0.42308276891708374,
"learning_rate": 0.00022473328748774736,
"loss": 0.8067,
"step": 414
},
{
"epoch": 0.9670816044260028,
"grad_norm": 0.4363687038421631,
"learning_rate": 0.00021847813825958586,
"loss": 0.8163,
"step": 437
}
],
"logging_steps": 23,
"max_steps": 451,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 23,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 4.580565166436909e+18,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}