tsec_vit_model / trainer_state.json
suredream's picture
End of training
2769d66 verified
raw
history blame
10.3 kB
{
"best_metric": 0.7816455696202531,
"best_model_checkpoint": "tsec_vit_model/checkpoint-276",
"epoch": 9.873417721518987,
"eval_steps": 500,
"global_step": 390,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.25316455696202533,
"grad_norm": 1.1729109287261963,
"learning_rate": 1.282051282051282e-05,
"loss": 0.5143,
"step": 10
},
{
"epoch": 0.5063291139240507,
"grad_norm": 1.1752610206604004,
"learning_rate": 2.564102564102564e-05,
"loss": 0.559,
"step": 20
},
{
"epoch": 0.759493670886076,
"grad_norm": 1.3603609800338745,
"learning_rate": 3.846153846153846e-05,
"loss": 0.4963,
"step": 30
},
{
"epoch": 0.9873417721518988,
"eval_accuracy": 0.6724683544303798,
"eval_loss": 0.5699456334114075,
"eval_runtime": 4.299,
"eval_samples_per_second": 147.012,
"eval_steps_per_second": 9.305,
"step": 39
},
{
"epoch": 1.0126582278481013,
"grad_norm": 2.1996357440948486,
"learning_rate": 4.985754985754986e-05,
"loss": 0.5522,
"step": 40
},
{
"epoch": 1.2658227848101267,
"grad_norm": 1.0542365312576294,
"learning_rate": 4.8433048433048433e-05,
"loss": 0.4911,
"step": 50
},
{
"epoch": 1.518987341772152,
"grad_norm": 1.4736473560333252,
"learning_rate": 4.700854700854701e-05,
"loss": 0.5448,
"step": 60
},
{
"epoch": 1.7721518987341773,
"grad_norm": 1.3524911403656006,
"learning_rate": 4.558404558404559e-05,
"loss": 0.4959,
"step": 70
},
{
"epoch": 2.0,
"eval_accuracy": 0.7151898734177216,
"eval_loss": 0.5484605431556702,
"eval_runtime": 4.1719,
"eval_samples_per_second": 151.489,
"eval_steps_per_second": 9.588,
"step": 79
},
{
"epoch": 2.0253164556962027,
"grad_norm": 1.6714565753936768,
"learning_rate": 4.415954415954416e-05,
"loss": 0.4969,
"step": 80
},
{
"epoch": 2.278481012658228,
"grad_norm": 1.8887039422988892,
"learning_rate": 4.2735042735042735e-05,
"loss": 0.4863,
"step": 90
},
{
"epoch": 2.5316455696202533,
"grad_norm": 2.640259027481079,
"learning_rate": 4.131054131054131e-05,
"loss": 0.5075,
"step": 100
},
{
"epoch": 2.7848101265822782,
"grad_norm": 1.167457103729248,
"learning_rate": 3.988603988603989e-05,
"loss": 0.4879,
"step": 110
},
{
"epoch": 2.9873417721518987,
"eval_accuracy": 0.7689873417721519,
"eval_loss": 0.48862743377685547,
"eval_runtime": 4.3228,
"eval_samples_per_second": 146.201,
"eval_steps_per_second": 9.253,
"step": 118
},
{
"epoch": 3.037974683544304,
"grad_norm": 1.0525858402252197,
"learning_rate": 3.846153846153846e-05,
"loss": 0.4946,
"step": 120
},
{
"epoch": 3.291139240506329,
"grad_norm": 2.056792736053467,
"learning_rate": 3.7037037037037037e-05,
"loss": 0.4884,
"step": 130
},
{
"epoch": 3.5443037974683547,
"grad_norm": 1.7059816122055054,
"learning_rate": 3.561253561253561e-05,
"loss": 0.4926,
"step": 140
},
{
"epoch": 3.7974683544303796,
"grad_norm": 1.2786283493041992,
"learning_rate": 3.418803418803419e-05,
"loss": 0.5243,
"step": 150
},
{
"epoch": 4.0,
"eval_accuracy": 0.7468354430379747,
"eval_loss": 0.5133278965950012,
"eval_runtime": 4.3787,
"eval_samples_per_second": 144.335,
"eval_steps_per_second": 9.135,
"step": 158
},
{
"epoch": 4.050632911392405,
"grad_norm": 2.1460752487182617,
"learning_rate": 3.2763532763532764e-05,
"loss": 0.4983,
"step": 160
},
{
"epoch": 4.30379746835443,
"grad_norm": 1.596248984336853,
"learning_rate": 3.133903133903134e-05,
"loss": 0.4936,
"step": 170
},
{
"epoch": 4.556962025316456,
"grad_norm": 1.6535227298736572,
"learning_rate": 2.9914529914529915e-05,
"loss": 0.5049,
"step": 180
},
{
"epoch": 4.810126582278481,
"grad_norm": 1.3324358463287354,
"learning_rate": 2.8490028490028492e-05,
"loss": 0.4654,
"step": 190
},
{
"epoch": 4.987341772151899,
"eval_accuracy": 0.7515822784810127,
"eval_loss": 0.49274376034736633,
"eval_runtime": 4.3657,
"eval_samples_per_second": 144.763,
"eval_steps_per_second": 9.162,
"step": 197
},
{
"epoch": 5.063291139240507,
"grad_norm": 1.212802529335022,
"learning_rate": 2.706552706552707e-05,
"loss": 0.4828,
"step": 200
},
{
"epoch": 5.3164556962025316,
"grad_norm": 1.189599633216858,
"learning_rate": 2.564102564102564e-05,
"loss": 0.4816,
"step": 210
},
{
"epoch": 5.569620253164557,
"grad_norm": 1.3671377897262573,
"learning_rate": 2.4216524216524217e-05,
"loss": 0.4709,
"step": 220
},
{
"epoch": 5.822784810126582,
"grad_norm": 1.5688464641571045,
"learning_rate": 2.2792022792022794e-05,
"loss": 0.4776,
"step": 230
},
{
"epoch": 6.0,
"eval_accuracy": 0.7642405063291139,
"eval_loss": 0.4901277422904968,
"eval_runtime": 4.2593,
"eval_samples_per_second": 148.382,
"eval_steps_per_second": 9.391,
"step": 237
},
{
"epoch": 6.075949367088608,
"grad_norm": 1.6727008819580078,
"learning_rate": 2.1367521367521368e-05,
"loss": 0.4878,
"step": 240
},
{
"epoch": 6.329113924050633,
"grad_norm": 1.2271509170532227,
"learning_rate": 1.9943019943019945e-05,
"loss": 0.4725,
"step": 250
},
{
"epoch": 6.582278481012658,
"grad_norm": 1.5308541059494019,
"learning_rate": 1.8518518518518518e-05,
"loss": 0.444,
"step": 260
},
{
"epoch": 6.8354430379746836,
"grad_norm": 1.6207118034362793,
"learning_rate": 1.7094017094017095e-05,
"loss": 0.4767,
"step": 270
},
{
"epoch": 6.987341772151899,
"eval_accuracy": 0.7816455696202531,
"eval_loss": 0.46520036458969116,
"eval_runtime": 4.1881,
"eval_samples_per_second": 150.905,
"eval_steps_per_second": 9.551,
"step": 276
},
{
"epoch": 7.0886075949367084,
"grad_norm": 1.3883824348449707,
"learning_rate": 1.566951566951567e-05,
"loss": 0.4649,
"step": 280
},
{
"epoch": 7.341772151898734,
"grad_norm": 2.2651216983795166,
"learning_rate": 1.4245014245014246e-05,
"loss": 0.4644,
"step": 290
},
{
"epoch": 7.594936708860759,
"grad_norm": 1.2660713195800781,
"learning_rate": 1.282051282051282e-05,
"loss": 0.4448,
"step": 300
},
{
"epoch": 7.848101265822785,
"grad_norm": 1.8906290531158447,
"learning_rate": 1.1396011396011397e-05,
"loss": 0.4465,
"step": 310
},
{
"epoch": 8.0,
"eval_accuracy": 0.7642405063291139,
"eval_loss": 0.4795072674751282,
"eval_runtime": 4.3585,
"eval_samples_per_second": 145.004,
"eval_steps_per_second": 9.177,
"step": 316
},
{
"epoch": 8.10126582278481,
"grad_norm": 1.7846542596817017,
"learning_rate": 9.971509971509972e-06,
"loss": 0.4552,
"step": 320
},
{
"epoch": 8.354430379746836,
"grad_norm": 1.2796516418457031,
"learning_rate": 8.547008547008548e-06,
"loss": 0.4284,
"step": 330
},
{
"epoch": 8.60759493670886,
"grad_norm": 1.181015133857727,
"learning_rate": 7.122507122507123e-06,
"loss": 0.3985,
"step": 340
},
{
"epoch": 8.860759493670885,
"grad_norm": 1.352704644203186,
"learning_rate": 5.6980056980056985e-06,
"loss": 0.467,
"step": 350
},
{
"epoch": 8.987341772151899,
"eval_accuracy": 0.7484177215189873,
"eval_loss": 0.4690525233745575,
"eval_runtime": 4.2658,
"eval_samples_per_second": 148.154,
"eval_steps_per_second": 9.377,
"step": 355
},
{
"epoch": 9.113924050632912,
"grad_norm": 1.3692480325698853,
"learning_rate": 4.273504273504274e-06,
"loss": 0.437,
"step": 360
},
{
"epoch": 9.367088607594937,
"grad_norm": 2.6086838245391846,
"learning_rate": 2.8490028490028492e-06,
"loss": 0.4062,
"step": 370
},
{
"epoch": 9.620253164556962,
"grad_norm": 1.352748155593872,
"learning_rate": 1.4245014245014246e-06,
"loss": 0.4365,
"step": 380
},
{
"epoch": 9.873417721518987,
"grad_norm": 1.9576495885849,
"learning_rate": 0.0,
"loss": 0.4121,
"step": 390
},
{
"epoch": 9.873417721518987,
"eval_accuracy": 0.7689873417721519,
"eval_loss": 0.482129842042923,
"eval_runtime": 4.3754,
"eval_samples_per_second": 144.443,
"eval_steps_per_second": 9.142,
"step": 390
},
{
"epoch": 9.873417721518987,
"step": 390,
"total_flos": 1.9321077770606223e+18,
"train_loss": 0.4781974340096498,
"train_runtime": 382.4209,
"train_samples_per_second": 66.027,
"train_steps_per_second": 1.02
}
],
"logging_steps": 10,
"max_steps": 390,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"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": 1.9321077770606223e+18,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}