default / checkpoint-750 /trainer_state.json
sheepy928's picture
Training in progress, step 750, checkpoint
74e7d51
raw
history blame
12.3 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.5643340857787811,
"eval_steps": 50,
"global_step": 750,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 5e-07,
"loss": 1.1001,
"step": 10
},
{
"epoch": 0.02,
"learning_rate": 1e-06,
"loss": 1.0661,
"step": 20
},
{
"epoch": 0.02,
"learning_rate": 1.5e-06,
"loss": 1.0782,
"step": 30
},
{
"epoch": 0.03,
"learning_rate": 2e-06,
"loss": 1.0578,
"step": 40
},
{
"epoch": 0.04,
"learning_rate": 2.5e-06,
"loss": 1.0395,
"step": 50
},
{
"epoch": 0.04,
"eval_accuracy": 0.4754781102152329,
"eval_loss": 1.0322505235671997,
"eval_runtime": 49.5848,
"eval_samples_per_second": 605.307,
"eval_steps_per_second": 1.19,
"step": 50
},
{
"epoch": 0.05,
"learning_rate": 3e-06,
"loss": 1.0308,
"step": 60
},
{
"epoch": 0.05,
"learning_rate": 3.5e-06,
"loss": 1.0044,
"step": 70
},
{
"epoch": 0.06,
"learning_rate": 4e-06,
"loss": 1.0398,
"step": 80
},
{
"epoch": 0.07,
"learning_rate": 4.5e-06,
"loss": 1.0116,
"step": 90
},
{
"epoch": 0.08,
"learning_rate": 5e-06,
"loss": 1.0067,
"step": 100
},
{
"epoch": 0.08,
"eval_accuracy": 0.5313187179316319,
"eval_loss": 0.9863238334655762,
"eval_runtime": 49.2356,
"eval_samples_per_second": 609.599,
"eval_steps_per_second": 1.198,
"step": 100
},
{
"epoch": 0.08,
"learning_rate": 5.5e-06,
"loss": 1.0131,
"step": 110
},
{
"epoch": 0.09,
"learning_rate": 6e-06,
"loss": 1.0235,
"step": 120
},
{
"epoch": 0.1,
"learning_rate": 6.5e-06,
"loss": 1.0073,
"step": 130
},
{
"epoch": 0.11,
"learning_rate": 7e-06,
"loss": 0.9856,
"step": 140
},
{
"epoch": 0.11,
"learning_rate": 7.5e-06,
"loss": 1.0062,
"step": 150
},
{
"epoch": 0.11,
"eval_accuracy": 0.5358499366962084,
"eval_loss": 0.9735665917396545,
"eval_runtime": 49.4568,
"eval_samples_per_second": 606.874,
"eval_steps_per_second": 1.193,
"step": 150
},
{
"epoch": 0.12,
"learning_rate": 8e-06,
"loss": 0.9622,
"step": 160
},
{
"epoch": 0.13,
"learning_rate": 8.500000000000002e-06,
"loss": 0.9583,
"step": 170
},
{
"epoch": 0.14,
"learning_rate": 9e-06,
"loss": 0.987,
"step": 180
},
{
"epoch": 0.14,
"learning_rate": 9.5e-06,
"loss": 0.9995,
"step": 190
},
{
"epoch": 0.15,
"learning_rate": 1e-05,
"loss": 0.9953,
"step": 200
},
{
"epoch": 0.15,
"eval_accuracy": 0.5406476977410541,
"eval_loss": 0.9847397804260254,
"eval_runtime": 49.5469,
"eval_samples_per_second": 605.769,
"eval_steps_per_second": 1.191,
"step": 200
},
{
"epoch": 0.16,
"learning_rate": 1.0500000000000001e-05,
"loss": 0.9894,
"step": 210
},
{
"epoch": 0.17,
"learning_rate": 1.1e-05,
"loss": 0.9857,
"step": 220
},
{
"epoch": 0.17,
"learning_rate": 1.15e-05,
"loss": 0.9806,
"step": 230
},
{
"epoch": 0.18,
"learning_rate": 1.2e-05,
"loss": 0.9802,
"step": 240
},
{
"epoch": 0.19,
"learning_rate": 1.25e-05,
"loss": 0.9559,
"step": 250
},
{
"epoch": 0.19,
"eval_accuracy": 0.5136269740787632,
"eval_loss": 1.0206754207611084,
"eval_runtime": 49.5108,
"eval_samples_per_second": 606.212,
"eval_steps_per_second": 1.192,
"step": 250
},
{
"epoch": 0.2,
"learning_rate": 1.3e-05,
"loss": 0.9877,
"step": 260
},
{
"epoch": 0.2,
"learning_rate": 1.35e-05,
"loss": 0.9878,
"step": 270
},
{
"epoch": 0.21,
"learning_rate": 1.4e-05,
"loss": 0.9646,
"step": 280
},
{
"epoch": 0.22,
"learning_rate": 1.4500000000000002e-05,
"loss": 0.9598,
"step": 290
},
{
"epoch": 0.23,
"learning_rate": 1.5e-05,
"loss": 0.9567,
"step": 300
},
{
"epoch": 0.23,
"eval_accuracy": 0.5693676284400613,
"eval_loss": 0.9298574924468994,
"eval_runtime": 49.5798,
"eval_samples_per_second": 605.367,
"eval_steps_per_second": 1.19,
"step": 300
},
{
"epoch": 0.23,
"learning_rate": 1.55e-05,
"loss": 0.9659,
"step": 310
},
{
"epoch": 0.24,
"learning_rate": 1.6e-05,
"loss": 0.9803,
"step": 320
},
{
"epoch": 0.25,
"learning_rate": 1.65e-05,
"loss": 0.959,
"step": 330
},
{
"epoch": 0.26,
"learning_rate": 1.7000000000000003e-05,
"loss": 0.9298,
"step": 340
},
{
"epoch": 0.26,
"learning_rate": 1.7500000000000002e-05,
"loss": 0.8923,
"step": 350
},
{
"epoch": 0.26,
"eval_accuracy": 0.603285133604318,
"eval_loss": 0.8731092810630798,
"eval_runtime": 49.5126,
"eval_samples_per_second": 606.189,
"eval_steps_per_second": 1.192,
"step": 350
},
{
"epoch": 0.27,
"learning_rate": 1.8e-05,
"loss": 0.9255,
"step": 360
},
{
"epoch": 0.28,
"learning_rate": 1.85e-05,
"loss": 0.9567,
"step": 370
},
{
"epoch": 0.29,
"learning_rate": 1.9e-05,
"loss": 0.9135,
"step": 380
},
{
"epoch": 0.29,
"learning_rate": 1.95e-05,
"loss": 0.8978,
"step": 390
},
{
"epoch": 0.3,
"learning_rate": 2e-05,
"loss": 0.9617,
"step": 400
},
{
"epoch": 0.3,
"eval_accuracy": 0.5401479309655494,
"eval_loss": 0.9500759840011597,
"eval_runtime": 49.5248,
"eval_samples_per_second": 606.04,
"eval_steps_per_second": 1.191,
"step": 400
},
{
"epoch": 0.31,
"learning_rate": 2.05e-05,
"loss": 0.9387,
"step": 410
},
{
"epoch": 0.32,
"learning_rate": 2.1000000000000002e-05,
"loss": 0.8832,
"step": 420
},
{
"epoch": 0.32,
"learning_rate": 2.1499999999999997e-05,
"loss": 0.9087,
"step": 430
},
{
"epoch": 0.33,
"learning_rate": 2.2e-05,
"loss": 0.9192,
"step": 440
},
{
"epoch": 0.34,
"learning_rate": 2.2499999999999998e-05,
"loss": 0.8456,
"step": 450
},
{
"epoch": 0.34,
"eval_accuracy": 0.6245085626707536,
"eval_loss": 0.8298193216323853,
"eval_runtime": 49.5226,
"eval_samples_per_second": 606.066,
"eval_steps_per_second": 1.191,
"step": 450
},
{
"epoch": 0.35,
"learning_rate": 2.3e-05,
"loss": 0.8511,
"step": 460
},
{
"epoch": 0.35,
"learning_rate": 2.3500000000000002e-05,
"loss": 0.9211,
"step": 470
},
{
"epoch": 0.36,
"learning_rate": 2.4e-05,
"loss": 0.8416,
"step": 480
},
{
"epoch": 0.37,
"learning_rate": 2.4500000000000003e-05,
"loss": 0.849,
"step": 490
},
{
"epoch": 0.38,
"learning_rate": 2.5e-05,
"loss": 0.8098,
"step": 500
},
{
"epoch": 0.38,
"eval_accuracy": 0.6523622309588859,
"eval_loss": 0.771039605140686,
"eval_runtime": 49.4859,
"eval_samples_per_second": 606.517,
"eval_steps_per_second": 1.192,
"step": 500
},
{
"epoch": 0.38,
"learning_rate": 2.55e-05,
"loss": 0.8406,
"step": 510
},
{
"epoch": 0.39,
"learning_rate": 2.6e-05,
"loss": 0.8868,
"step": 520
},
{
"epoch": 0.4,
"learning_rate": 2.65e-05,
"loss": 0.8206,
"step": 530
},
{
"epoch": 0.41,
"learning_rate": 2.7e-05,
"loss": 0.7607,
"step": 540
},
{
"epoch": 0.41,
"learning_rate": 2.75e-05,
"loss": 0.6892,
"step": 550
},
{
"epoch": 0.41,
"eval_accuracy": 0.7312254281335376,
"eval_loss": 0.670229971408844,
"eval_runtime": 49.5662,
"eval_samples_per_second": 605.533,
"eval_steps_per_second": 1.19,
"step": 550
},
{
"epoch": 0.42,
"learning_rate": 2.8e-05,
"loss": 0.7065,
"step": 560
},
{
"epoch": 0.43,
"learning_rate": 2.85e-05,
"loss": 0.7075,
"step": 570
},
{
"epoch": 0.44,
"learning_rate": 2.9000000000000004e-05,
"loss": 0.6793,
"step": 580
},
{
"epoch": 0.44,
"learning_rate": 2.95e-05,
"loss": 0.6057,
"step": 590
},
{
"epoch": 0.45,
"learning_rate": 3e-05,
"loss": 0.5794,
"step": 600
},
{
"epoch": 0.45,
"eval_accuracy": 0.7694409275671353,
"eval_loss": 0.6066040396690369,
"eval_runtime": 49.5056,
"eval_samples_per_second": 606.275,
"eval_steps_per_second": 1.192,
"step": 600
},
{
"epoch": 0.46,
"learning_rate": 3.05e-05,
"loss": 0.609,
"step": 610
},
{
"epoch": 0.47,
"learning_rate": 3.1e-05,
"loss": 0.6058,
"step": 620
},
{
"epoch": 0.47,
"learning_rate": 3.15e-05,
"loss": 0.5518,
"step": 630
},
{
"epoch": 0.48,
"learning_rate": 3.2e-05,
"loss": 0.6132,
"step": 640
},
{
"epoch": 0.49,
"learning_rate": 3.2500000000000004e-05,
"loss": 0.5262,
"step": 650
},
{
"epoch": 0.49,
"eval_accuracy": 0.8218498034250683,
"eval_loss": 0.4961170256137848,
"eval_runtime": 49.5394,
"eval_samples_per_second": 605.861,
"eval_steps_per_second": 1.191,
"step": 650
},
{
"epoch": 0.5,
"learning_rate": 3.3e-05,
"loss": 0.5355,
"step": 660
},
{
"epoch": 0.5,
"learning_rate": 3.35e-05,
"loss": 0.4905,
"step": 670
},
{
"epoch": 0.51,
"learning_rate": 3.4000000000000007e-05,
"loss": 0.4992,
"step": 680
},
{
"epoch": 0.52,
"learning_rate": 3.4500000000000005e-05,
"loss": 0.4959,
"step": 690
},
{
"epoch": 0.53,
"learning_rate": 3.5000000000000004e-05,
"loss": 0.4693,
"step": 700
},
{
"epoch": 0.53,
"eval_accuracy": 0.851469314319984,
"eval_loss": 0.43606042861938477,
"eval_runtime": 49.5557,
"eval_samples_per_second": 605.662,
"eval_steps_per_second": 1.191,
"step": 700
},
{
"epoch": 0.53,
"learning_rate": 3.5499999999999996e-05,
"loss": 0.4725,
"step": 710
},
{
"epoch": 0.54,
"learning_rate": 3.6e-05,
"loss": 0.5033,
"step": 720
},
{
"epoch": 0.55,
"learning_rate": 3.65e-05,
"loss": 0.4679,
"step": 730
},
{
"epoch": 0.56,
"learning_rate": 3.7e-05,
"loss": 0.4639,
"step": 740
},
{
"epoch": 0.56,
"learning_rate": 3.75e-05,
"loss": 0.434,
"step": 750
},
{
"epoch": 0.56,
"eval_accuracy": 0.8657293263143866,
"eval_loss": 0.41026708483695984,
"eval_runtime": 49.5112,
"eval_samples_per_second": 606.206,
"eval_steps_per_second": 1.192,
"step": 750
}
],
"logging_steps": 10,
"max_steps": 3987,
"num_train_epochs": 3,
"save_steps": 250,
"total_flos": 2.5258887217152e+16,
"trial_name": null,
"trial_params": null
}