Files
llmplasticity-en_fi_linear_…/checkpoint-2048/trainer_state.json
ModelHub XC f3c8cb4904 初始化项目,由ModelHub XC社区提供模型
Model: Cisco1963/llmplasticity-en_fi_linear_0.125_1-seed42
Source: Original Platform
2026-05-01 03:47:20 +08:00

227 lines
5.9 KiB
JSON

{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.4979031179724063,
"eval_steps": 99999999,
"global_step": 2048,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.000243116756822464,
"grad_norm": 245.63973999023438,
"learning_rate": 5e-05,
"loss": 175.7636,
"step": 1
},
{
"epoch": 0.000243116756822464,
"eval_accuracy": 0.03065178878801227,
"eval_loss": 10.476305961608887,
"eval_runtime": 122.5372,
"eval_samples_per_second": 51.397,
"eval_steps_per_second": 6.431,
"step": 1
},
{
"epoch": 0.000486233513644928,
"grad_norm": 113.21363067626953,
"learning_rate": 4.998784637822071e-05,
"loss": 161.0339,
"step": 2
},
{
"epoch": 0.000486233513644928,
"eval_accuracy": 0.03065178878801227,
"eval_loss": 10.297815322875977,
"eval_runtime": 120.5427,
"eval_samples_per_second": 52.247,
"eval_steps_per_second": 6.537,
"step": 2
},
{
"epoch": 0.000972467027289856,
"grad_norm": 65.4986801147461,
"learning_rate": 4.996353913466213e-05,
"loss": 156.102,
"step": 4
},
{
"epoch": 0.000972467027289856,
"eval_accuracy": 0.03066870675635363,
"eval_loss": 10.12234878540039,
"eval_runtime": 134.3118,
"eval_samples_per_second": 46.891,
"eval_steps_per_second": 5.867,
"step": 4
},
{
"epoch": 0.001944934054579712,
"grad_norm": 38.307884216308594,
"learning_rate": 4.991492464754497e-05,
"loss": 152.2924,
"step": 8
},
{
"epoch": 0.001944934054579712,
"eval_accuracy": 0.030665912963416524,
"eval_loss": 10.031266212463379,
"eval_runtime": 123.2321,
"eval_samples_per_second": 51.107,
"eval_steps_per_second": 6.394,
"step": 8
},
{
"epoch": 0.003889868109159424,
"grad_norm": 33.05560302734375,
"learning_rate": 4.981769567331065e-05,
"loss": 148.7256,
"step": 16
},
{
"epoch": 0.003889868109159424,
"eval_accuracy": 0.03471380850784451,
"eval_loss": 9.771815299987793,
"eval_runtime": 121.9704,
"eval_samples_per_second": 51.635,
"eval_steps_per_second": 6.461,
"step": 16
},
{
"epoch": 0.007779736218318848,
"grad_norm": 33.15456771850586,
"learning_rate": 4.9623237724842005e-05,
"loss": 141.2284,
"step": 32
},
{
"epoch": 0.007779736218318848,
"eval_accuracy": 0.04097904438002165,
"eval_loss": 9.279535293579102,
"eval_runtime": 124.7723,
"eval_samples_per_second": 50.476,
"eval_steps_per_second": 6.316,
"step": 32
},
{
"epoch": 0.015559472436637696,
"grad_norm": 20.02243423461914,
"learning_rate": 4.9234321827904715e-05,
"loss": 127.002,
"step": 64
},
{
"epoch": 0.015559472436637696,
"eval_accuracy": 0.06789103090028115,
"eval_loss": 8.393986701965332,
"eval_runtime": 137.4464,
"eval_samples_per_second": 45.821,
"eval_steps_per_second": 5.733,
"step": 64
},
{
"epoch": 0.031118944873275392,
"grad_norm": 28.861949920654297,
"learning_rate": 4.8456490034030144e-05,
"loss": 116.9628,
"step": 128
},
{
"epoch": 0.031118944873275392,
"eval_accuracy": 0.099492243654753,
"eval_loss": 7.541510105133057,
"eval_runtime": 137.5865,
"eval_samples_per_second": 45.775,
"eval_steps_per_second": 5.727,
"step": 128
},
{
"epoch": 0.062237889746550784,
"grad_norm": 32.826515197753906,
"learning_rate": 4.6900826446280993e-05,
"loss": 103.7502,
"step": 256
},
{
"epoch": 0.062237889746550784,
"eval_accuracy": 0.11699364908781108,
"eval_loss": 6.44133186340332,
"eval_runtime": 127.4576,
"eval_samples_per_second": 49.413,
"eval_steps_per_second": 6.182,
"step": 256
},
{
"epoch": 0.12447577949310157,
"grad_norm": 24.268686294555664,
"learning_rate": 4.37894992707827e-05,
"loss": 99.1234,
"step": 512
},
{
"epoch": 0.12447577949310157,
"eval_accuracy": 0.16933101386435265,
"eval_loss": 5.398009300231934,
"eval_runtime": 135.7602,
"eval_samples_per_second": 46.391,
"eval_steps_per_second": 5.804,
"step": 512
},
{
"epoch": 0.24895155898620314,
"grad_norm": 8.205699920654297,
"learning_rate": 3.75668449197861e-05,
"loss": 84.3663,
"step": 1024
},
{
"epoch": 0.24895155898620314,
"eval_accuracy": 0.21648232289603334,
"eval_loss": 4.741060733795166,
"eval_runtime": 116.5089,
"eval_samples_per_second": 54.056,
"eval_steps_per_second": 6.763,
"step": 1024
},
{
"epoch": 0.4979031179724063,
"grad_norm": 10.254305839538574,
"learning_rate": 2.51215362177929e-05,
"loss": 69.5639,
"step": 2048
},
{
"epoch": 0.4979031179724063,
"eval_accuracy": 0.20927154332536482,
"eval_loss": 4.547865390777588,
"eval_runtime": 135.1009,
"eval_samples_per_second": 46.617,
"eval_steps_per_second": 5.833,
"step": 2048
}
],
"logging_steps": 99999999,
"max_steps": 4114,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 99999999,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 1.36992276873216e+17,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}