akkky02's picture
Upload folder using huggingface_hub
ca5f7f5 verified
raw
history blame
No virus
17.5 kB
{
"best_metric": 0.5063937306404114,
"best_model_checkpoint": "../../experiments_checkpoints/MAdAiLab/Qwen/Qwen1.5_1.8B_ledgar/checkpoint-1800",
"epoch": 1.9189765458422174,
"eval_steps": 100,
"global_step": 1800,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.03,
"grad_norm": 80.4836196899414,
"learning_rate": 4.9555792466240235e-06,
"loss": 7.9887,
"step": 25
},
{
"epoch": 0.05,
"grad_norm": 60.927364349365234,
"learning_rate": 4.911158493248046e-06,
"loss": 3.1908,
"step": 50
},
{
"epoch": 0.08,
"grad_norm": 49.68091583251953,
"learning_rate": 4.866737739872069e-06,
"loss": 1.7183,
"step": 75
},
{
"epoch": 0.11,
"grad_norm": 55.176666259765625,
"learning_rate": 4.822316986496091e-06,
"loss": 1.3077,
"step": 100
},
{
"epoch": 0.11,
"eval_accuracy": 0.7277,
"eval_f1_macro": 0.5770831474844406,
"eval_f1_micro": 0.7277,
"eval_loss": 1.0944937467575073,
"eval_runtime": 25.447,
"eval_samples_per_second": 392.973,
"eval_steps_per_second": 6.17,
"step": 100
},
{
"epoch": 0.13,
"grad_norm": 46.64506530761719,
"learning_rate": 4.777896233120114e-06,
"loss": 1.1393,
"step": 125
},
{
"epoch": 0.16,
"grad_norm": 41.11891174316406,
"learning_rate": 4.733475479744136e-06,
"loss": 1.0243,
"step": 150
},
{
"epoch": 0.19,
"grad_norm": 34.20009994506836,
"learning_rate": 4.6890547263681595e-06,
"loss": 0.9005,
"step": 175
},
{
"epoch": 0.21,
"grad_norm": 38.80377197265625,
"learning_rate": 4.644633972992183e-06,
"loss": 0.8627,
"step": 200
},
{
"epoch": 0.21,
"eval_accuracy": 0.7907,
"eval_f1_macro": 0.6657039157603262,
"eval_f1_micro": 0.7907,
"eval_loss": 0.8368468880653381,
"eval_runtime": 25.9484,
"eval_samples_per_second": 385.38,
"eval_steps_per_second": 6.05,
"step": 200
},
{
"epoch": 0.24,
"grad_norm": 34.973506927490234,
"learning_rate": 4.600213219616206e-06,
"loss": 0.7896,
"step": 225
},
{
"epoch": 0.27,
"grad_norm": 29.98388671875,
"learning_rate": 4.555792466240228e-06,
"loss": 0.8307,
"step": 250
},
{
"epoch": 0.29,
"grad_norm": 27.09973907470703,
"learning_rate": 4.51137171286425e-06,
"loss": 0.7846,
"step": 275
},
{
"epoch": 0.32,
"grad_norm": 36.151161193847656,
"learning_rate": 4.466950959488273e-06,
"loss": 0.7179,
"step": 300
},
{
"epoch": 0.32,
"eval_accuracy": 0.7971,
"eval_f1_macro": 0.6861778340669753,
"eval_f1_micro": 0.7971,
"eval_loss": 0.7824062705039978,
"eval_runtime": 25.9003,
"eval_samples_per_second": 386.095,
"eval_steps_per_second": 6.062,
"step": 300
},
{
"epoch": 0.35,
"grad_norm": 33.09822463989258,
"learning_rate": 4.422530206112296e-06,
"loss": 0.7133,
"step": 325
},
{
"epoch": 0.37,
"grad_norm": 35.52923583984375,
"learning_rate": 4.378109452736319e-06,
"loss": 0.7354,
"step": 350
},
{
"epoch": 0.4,
"grad_norm": 39.79545211791992,
"learning_rate": 4.333688699360342e-06,
"loss": 0.6619,
"step": 375
},
{
"epoch": 0.43,
"grad_norm": 30.13161849975586,
"learning_rate": 4.289267945984365e-06,
"loss": 0.6961,
"step": 400
},
{
"epoch": 0.43,
"eval_accuracy": 0.8138,
"eval_f1_macro": 0.6992465625213966,
"eval_f1_micro": 0.8138,
"eval_loss": 0.6951531171798706,
"eval_runtime": 25.6082,
"eval_samples_per_second": 390.5,
"eval_steps_per_second": 6.131,
"step": 400
},
{
"epoch": 0.45,
"grad_norm": 27.575519561767578,
"learning_rate": 4.244847192608387e-06,
"loss": 0.7162,
"step": 425
},
{
"epoch": 0.48,
"grad_norm": 35.084754943847656,
"learning_rate": 4.200426439232409e-06,
"loss": 0.7722,
"step": 450
},
{
"epoch": 0.51,
"grad_norm": 28.47511863708496,
"learning_rate": 4.156005685856432e-06,
"loss": 0.6866,
"step": 475
},
{
"epoch": 0.53,
"grad_norm": 32.34709548950195,
"learning_rate": 4.1115849324804554e-06,
"loss": 0.745,
"step": 500
},
{
"epoch": 0.53,
"eval_accuracy": 0.8121,
"eval_f1_macro": 0.7033560293953169,
"eval_f1_micro": 0.8121,
"eval_loss": 0.6718780994415283,
"eval_runtime": 25.9161,
"eval_samples_per_second": 385.86,
"eval_steps_per_second": 6.058,
"step": 500
},
{
"epoch": 0.56,
"grad_norm": 25.5845890045166,
"learning_rate": 4.067164179104478e-06,
"loss": 0.6535,
"step": 525
},
{
"epoch": 0.59,
"grad_norm": 22.466503143310547,
"learning_rate": 4.022743425728501e-06,
"loss": 0.5969,
"step": 550
},
{
"epoch": 0.61,
"grad_norm": 27.53134536743164,
"learning_rate": 3.978322672352524e-06,
"loss": 0.5926,
"step": 575
},
{
"epoch": 0.64,
"grad_norm": 31.356454849243164,
"learning_rate": 3.933901918976546e-06,
"loss": 0.6505,
"step": 600
},
{
"epoch": 0.64,
"eval_accuracy": 0.834,
"eval_f1_macro": 0.7469091035082649,
"eval_f1_micro": 0.834,
"eval_loss": 0.6219750046730042,
"eval_runtime": 25.9316,
"eval_samples_per_second": 385.63,
"eval_steps_per_second": 6.054,
"step": 600
},
{
"epoch": 0.67,
"grad_norm": 37.17654800415039,
"learning_rate": 3.889481165600569e-06,
"loss": 0.6171,
"step": 625
},
{
"epoch": 0.69,
"grad_norm": 26.71038055419922,
"learning_rate": 3.8450604122245914e-06,
"loss": 0.6218,
"step": 650
},
{
"epoch": 0.72,
"grad_norm": 27.787952423095703,
"learning_rate": 3.8006396588486145e-06,
"loss": 0.6124,
"step": 675
},
{
"epoch": 0.75,
"grad_norm": 30.405912399291992,
"learning_rate": 3.756218905472637e-06,
"loss": 0.5914,
"step": 700
},
{
"epoch": 0.75,
"eval_accuracy": 0.8362,
"eval_f1_macro": 0.7410957777496914,
"eval_f1_micro": 0.8362,
"eval_loss": 0.6109625101089478,
"eval_runtime": 25.6247,
"eval_samples_per_second": 390.248,
"eval_steps_per_second": 6.127,
"step": 700
},
{
"epoch": 0.77,
"grad_norm": 30.52012062072754,
"learning_rate": 3.71179815209666e-06,
"loss": 0.5711,
"step": 725
},
{
"epoch": 0.8,
"grad_norm": 30.88004493713379,
"learning_rate": 3.667377398720683e-06,
"loss": 0.6695,
"step": 750
},
{
"epoch": 0.83,
"grad_norm": 22.504459381103516,
"learning_rate": 3.622956645344705e-06,
"loss": 0.5731,
"step": 775
},
{
"epoch": 0.85,
"grad_norm": 21.515512466430664,
"learning_rate": 3.578535891968728e-06,
"loss": 0.5837,
"step": 800
},
{
"epoch": 0.85,
"eval_accuracy": 0.8385,
"eval_f1_macro": 0.7413235492734335,
"eval_f1_micro": 0.8385,
"eval_loss": 0.5766780972480774,
"eval_runtime": 25.6608,
"eval_samples_per_second": 389.7,
"eval_steps_per_second": 6.118,
"step": 800
},
{
"epoch": 0.88,
"grad_norm": 30.9660587310791,
"learning_rate": 3.534115138592751e-06,
"loss": 0.6085,
"step": 825
},
{
"epoch": 0.91,
"grad_norm": 18.883647918701172,
"learning_rate": 3.4896943852167736e-06,
"loss": 0.5121,
"step": 850
},
{
"epoch": 0.93,
"grad_norm": 24.548561096191406,
"learning_rate": 3.4452736318407963e-06,
"loss": 0.5621,
"step": 875
},
{
"epoch": 0.96,
"grad_norm": 29.833791732788086,
"learning_rate": 3.4008528784648194e-06,
"loss": 0.5218,
"step": 900
},
{
"epoch": 0.96,
"eval_accuracy": 0.849,
"eval_f1_macro": 0.7702797685808792,
"eval_f1_micro": 0.849,
"eval_loss": 0.5365203022956848,
"eval_runtime": 25.9091,
"eval_samples_per_second": 385.964,
"eval_steps_per_second": 6.06,
"step": 900
},
{
"epoch": 0.99,
"grad_norm": 27.948928833007812,
"learning_rate": 3.3564321250888416e-06,
"loss": 0.5681,
"step": 925
},
{
"epoch": 1.01,
"grad_norm": 19.800880432128906,
"learning_rate": 3.3120113717128643e-06,
"loss": 0.4014,
"step": 950
},
{
"epoch": 1.04,
"grad_norm": 19.333465576171875,
"learning_rate": 3.2675906183368874e-06,
"loss": 0.2795,
"step": 975
},
{
"epoch": 1.07,
"grad_norm": 22.315195083618164,
"learning_rate": 3.22316986496091e-06,
"loss": 0.2632,
"step": 1000
},
{
"epoch": 1.07,
"eval_accuracy": 0.8562,
"eval_f1_macro": 0.7683569808757446,
"eval_f1_micro": 0.8562,
"eval_loss": 0.5503664016723633,
"eval_runtime": 25.5198,
"eval_samples_per_second": 391.852,
"eval_steps_per_second": 6.152,
"step": 1000
},
{
"epoch": 1.09,
"grad_norm": 24.819501876831055,
"learning_rate": 3.1787491115849327e-06,
"loss": 0.2532,
"step": 1025
},
{
"epoch": 1.12,
"grad_norm": 21.534936904907227,
"learning_rate": 3.1343283582089558e-06,
"loss": 0.2311,
"step": 1050
},
{
"epoch": 1.15,
"grad_norm": 24.088809967041016,
"learning_rate": 3.0899076048329785e-06,
"loss": 0.3134,
"step": 1075
},
{
"epoch": 1.17,
"grad_norm": 27.605493545532227,
"learning_rate": 3.0454868514570007e-06,
"loss": 0.2607,
"step": 1100
},
{
"epoch": 1.17,
"eval_accuracy": 0.8525,
"eval_f1_macro": 0.7656891626030512,
"eval_f1_micro": 0.8525,
"eval_loss": 0.5496523380279541,
"eval_runtime": 25.7081,
"eval_samples_per_second": 388.982,
"eval_steps_per_second": 6.107,
"step": 1100
},
{
"epoch": 1.2,
"grad_norm": 22.955158233642578,
"learning_rate": 3.0010660980810234e-06,
"loss": 0.2674,
"step": 1125
},
{
"epoch": 1.23,
"grad_norm": 19.089893341064453,
"learning_rate": 2.9566453447050464e-06,
"loss": 0.2074,
"step": 1150
},
{
"epoch": 1.25,
"grad_norm": 19.285688400268555,
"learning_rate": 2.912224591329069e-06,
"loss": 0.2488,
"step": 1175
},
{
"epoch": 1.28,
"grad_norm": 23.45233726501465,
"learning_rate": 2.867803837953092e-06,
"loss": 0.274,
"step": 1200
},
{
"epoch": 1.28,
"eval_accuracy": 0.8584,
"eval_f1_macro": 0.7746299057445165,
"eval_f1_micro": 0.8584,
"eval_loss": 0.5439000129699707,
"eval_runtime": 25.9014,
"eval_samples_per_second": 386.079,
"eval_steps_per_second": 6.061,
"step": 1200
},
{
"epoch": 1.31,
"grad_norm": 31.231454849243164,
"learning_rate": 2.823383084577115e-06,
"loss": 0.2624,
"step": 1225
},
{
"epoch": 1.33,
"grad_norm": 28.1010799407959,
"learning_rate": 2.7789623312011375e-06,
"loss": 0.2992,
"step": 1250
},
{
"epoch": 1.36,
"grad_norm": 30.002384185791016,
"learning_rate": 2.7345415778251598e-06,
"loss": 0.2589,
"step": 1275
},
{
"epoch": 1.39,
"grad_norm": 23.61323356628418,
"learning_rate": 2.690120824449183e-06,
"loss": 0.2216,
"step": 1300
},
{
"epoch": 1.39,
"eval_accuracy": 0.8563,
"eval_f1_macro": 0.7753520513346309,
"eval_f1_micro": 0.8563,
"eval_loss": 0.5687375068664551,
"eval_runtime": 25.9424,
"eval_samples_per_second": 385.47,
"eval_steps_per_second": 6.052,
"step": 1300
},
{
"epoch": 1.41,
"grad_norm": 27.56183433532715,
"learning_rate": 2.6457000710732055e-06,
"loss": 0.2845,
"step": 1325
},
{
"epoch": 1.44,
"grad_norm": 18.88576316833496,
"learning_rate": 2.601279317697228e-06,
"loss": 0.2685,
"step": 1350
},
{
"epoch": 1.47,
"grad_norm": 19.662220001220703,
"learning_rate": 2.5568585643212513e-06,
"loss": 0.2489,
"step": 1375
},
{
"epoch": 1.49,
"grad_norm": 22.736656188964844,
"learning_rate": 2.512437810945274e-06,
"loss": 0.2044,
"step": 1400
},
{
"epoch": 1.49,
"eval_accuracy": 0.861,
"eval_f1_macro": 0.7820141563614671,
"eval_f1_micro": 0.861,
"eval_loss": 0.5385035276412964,
"eval_runtime": 25.6666,
"eval_samples_per_second": 389.612,
"eval_steps_per_second": 6.117,
"step": 1400
},
{
"epoch": 1.52,
"grad_norm": 24.569435119628906,
"learning_rate": 2.4680170575692966e-06,
"loss": 0.2388,
"step": 1425
},
{
"epoch": 1.55,
"grad_norm": 17.50179100036621,
"learning_rate": 2.4235963041933193e-06,
"loss": 0.2556,
"step": 1450
},
{
"epoch": 1.57,
"grad_norm": 15.387917518615723,
"learning_rate": 2.379175550817342e-06,
"loss": 0.2343,
"step": 1475
},
{
"epoch": 1.6,
"grad_norm": 29.757495880126953,
"learning_rate": 2.3347547974413646e-06,
"loss": 0.2508,
"step": 1500
},
{
"epoch": 1.6,
"eval_accuracy": 0.8577,
"eval_f1_macro": 0.7710712973870113,
"eval_f1_micro": 0.8577,
"eval_loss": 0.5657808780670166,
"eval_runtime": 25.9754,
"eval_samples_per_second": 384.98,
"eval_steps_per_second": 6.044,
"step": 1500
},
{
"epoch": 1.63,
"grad_norm": 24.104217529296875,
"learning_rate": 2.2903340440653877e-06,
"loss": 0.2647,
"step": 1525
},
{
"epoch": 1.65,
"grad_norm": 29.48048973083496,
"learning_rate": 2.24591329068941e-06,
"loss": 0.212,
"step": 1550
},
{
"epoch": 1.68,
"grad_norm": 11.834880828857422,
"learning_rate": 2.201492537313433e-06,
"loss": 0.1939,
"step": 1575
},
{
"epoch": 1.71,
"grad_norm": 24.24506378173828,
"learning_rate": 2.1570717839374557e-06,
"loss": 0.2513,
"step": 1600
},
{
"epoch": 1.71,
"eval_accuracy": 0.8589,
"eval_f1_macro": 0.7871987440671023,
"eval_f1_micro": 0.8589,
"eval_loss": 0.5366827845573425,
"eval_runtime": 25.9643,
"eval_samples_per_second": 385.144,
"eval_steps_per_second": 6.047,
"step": 1600
},
{
"epoch": 1.73,
"grad_norm": 23.33180046081543,
"learning_rate": 2.112651030561479e-06,
"loss": 0.2409,
"step": 1625
},
{
"epoch": 1.76,
"grad_norm": 18.71114730834961,
"learning_rate": 2.068230277185501e-06,
"loss": 0.224,
"step": 1650
},
{
"epoch": 1.79,
"grad_norm": 21.95819854736328,
"learning_rate": 2.023809523809524e-06,
"loss": 0.2223,
"step": 1675
},
{
"epoch": 1.81,
"grad_norm": 27.065677642822266,
"learning_rate": 1.979388770433547e-06,
"loss": 0.2787,
"step": 1700
},
{
"epoch": 1.81,
"eval_accuracy": 0.8653,
"eval_f1_macro": 0.790261134849528,
"eval_f1_micro": 0.8653,
"eval_loss": 0.5133171677589417,
"eval_runtime": 25.5701,
"eval_samples_per_second": 391.081,
"eval_steps_per_second": 6.14,
"step": 1700
},
{
"epoch": 1.84,
"grad_norm": 35.288761138916016,
"learning_rate": 1.9349680170575695e-06,
"loss": 0.2709,
"step": 1725
},
{
"epoch": 1.87,
"grad_norm": 21.077306747436523,
"learning_rate": 1.8905472636815921e-06,
"loss": 0.2002,
"step": 1750
},
{
"epoch": 1.89,
"grad_norm": 25.394838333129883,
"learning_rate": 1.846126510305615e-06,
"loss": 0.2461,
"step": 1775
},
{
"epoch": 1.92,
"grad_norm": 26.597759246826172,
"learning_rate": 1.8017057569296375e-06,
"loss": 0.2357,
"step": 1800
},
{
"epoch": 1.92,
"eval_accuracy": 0.8669,
"eval_f1_macro": 0.7902403947168268,
"eval_f1_micro": 0.8669,
"eval_loss": 0.5063937306404114,
"eval_runtime": 25.6031,
"eval_samples_per_second": 390.577,
"eval_steps_per_second": 6.132,
"step": 1800
}
],
"logging_steps": 25,
"max_steps": 2814,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 100,
"total_flos": 1.074692042564567e+17,
"train_batch_size": 32,
"trial_name": null,
"trial_params": null
}