|
{ |
|
"best_metric": 0.45565962643131613, |
|
"best_model_checkpoint": "", |
|
"epoch": 4.0, |
|
"global_step": 255184, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 2e-10, |
|
"loss": 0.5804, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 1e-06, |
|
"loss": 0.3416, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"learning_rate": 2e-06, |
|
"loss": 0.2775, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"learning_rate": 1.967635445659913e-06, |
|
"loss": 0.2661, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 0.31, |
|
"learning_rate": 1.9352708913198264e-06, |
|
"loss": 0.2615, |
|
"step": 20000 |
|
}, |
|
{ |
|
"epoch": 0.39, |
|
"learning_rate": 1.9029063369797399e-06, |
|
"loss": 0.2637, |
|
"step": 25000 |
|
}, |
|
{ |
|
"epoch": 0.47, |
|
"learning_rate": 1.870541782639653e-06, |
|
"loss": 0.2597, |
|
"step": 30000 |
|
}, |
|
{ |
|
"epoch": 0.55, |
|
"learning_rate": 1.8381772282995661e-06, |
|
"loss": 0.2546, |
|
"step": 35000 |
|
}, |
|
{ |
|
"epoch": 0.63, |
|
"learning_rate": 1.8058126739594794e-06, |
|
"loss": 0.2593, |
|
"step": 40000 |
|
}, |
|
{ |
|
"epoch": 0.71, |
|
"learning_rate": 1.7734481196193926e-06, |
|
"loss": 0.2515, |
|
"step": 45000 |
|
}, |
|
{ |
|
"epoch": 0.78, |
|
"learning_rate": 1.741083565279306e-06, |
|
"loss": 0.2546, |
|
"step": 50000 |
|
}, |
|
{ |
|
"epoch": 0.86, |
|
"learning_rate": 1.7087190109392193e-06, |
|
"loss": 0.2567, |
|
"step": 55000 |
|
}, |
|
{ |
|
"epoch": 0.94, |
|
"learning_rate": 1.6763544565991326e-06, |
|
"loss": 0.2528, |
|
"step": 60000 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.21571615150195908, |
|
"eval_auc": 0.9180686985375446, |
|
"eval_f1": 0.22147402418434062, |
|
"eval_loss": 1.4364598989486694, |
|
"eval_precision": 0.908817624677932, |
|
"eval_recall": 0.21571615150195908, |
|
"eval_runtime": 4.8065, |
|
"eval_samples_per_second": 955.789, |
|
"step": 63796 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"learning_rate": 1.6439899022590458e-06, |
|
"loss": 0.2493, |
|
"step": 65000 |
|
}, |
|
{ |
|
"epoch": 1.1, |
|
"learning_rate": 1.611625347918959e-06, |
|
"loss": 0.2448, |
|
"step": 70000 |
|
}, |
|
{ |
|
"epoch": 1.18, |
|
"learning_rate": 1.5792607935788725e-06, |
|
"loss": 0.2507, |
|
"step": 75000 |
|
}, |
|
{ |
|
"epoch": 1.25, |
|
"learning_rate": 1.5468962392387856e-06, |
|
"loss": 0.2445, |
|
"step": 80000 |
|
}, |
|
{ |
|
"epoch": 1.33, |
|
"learning_rate": 1.5145316848986988e-06, |
|
"loss": 0.2481, |
|
"step": 85000 |
|
}, |
|
{ |
|
"epoch": 1.41, |
|
"learning_rate": 1.482167130558612e-06, |
|
"loss": 0.2452, |
|
"step": 90000 |
|
}, |
|
{ |
|
"epoch": 1.49, |
|
"learning_rate": 1.4498025762185253e-06, |
|
"loss": 0.2442, |
|
"step": 95000 |
|
}, |
|
{ |
|
"epoch": 1.57, |
|
"learning_rate": 1.4174380218784387e-06, |
|
"loss": 0.2443, |
|
"step": 100000 |
|
}, |
|
{ |
|
"epoch": 1.65, |
|
"learning_rate": 1.385073467538352e-06, |
|
"loss": 0.246, |
|
"step": 105000 |
|
}, |
|
{ |
|
"epoch": 1.72, |
|
"learning_rate": 1.3527089131982652e-06, |
|
"loss": 0.2503, |
|
"step": 110000 |
|
}, |
|
{ |
|
"epoch": 1.8, |
|
"learning_rate": 1.3203443588581785e-06, |
|
"loss": 0.2492, |
|
"step": 115000 |
|
}, |
|
{ |
|
"epoch": 1.88, |
|
"learning_rate": 1.2879798045180917e-06, |
|
"loss": 0.2429, |
|
"step": 120000 |
|
}, |
|
{ |
|
"epoch": 1.96, |
|
"learning_rate": 1.255615250178005e-06, |
|
"loss": 0.2491, |
|
"step": 125000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.3243360905528951, |
|
"eval_auc": 0.9164518557207816, |
|
"eval_f1": 0.3794720254407353, |
|
"eval_loss": 1.2563140392303467, |
|
"eval_precision": 0.9077943374743213, |
|
"eval_recall": 0.3243360905528951, |
|
"eval_runtime": 4.7493, |
|
"eval_samples_per_second": 967.295, |
|
"step": 127592 |
|
}, |
|
{ |
|
"epoch": 2.04, |
|
"learning_rate": 1.2232506958379182e-06, |
|
"loss": 0.2508, |
|
"step": 130000 |
|
}, |
|
{ |
|
"epoch": 2.12, |
|
"learning_rate": 1.1908861414978315e-06, |
|
"loss": 0.2422, |
|
"step": 135000 |
|
}, |
|
{ |
|
"epoch": 2.19, |
|
"learning_rate": 1.1585215871577447e-06, |
|
"loss": 0.2404, |
|
"step": 140000 |
|
}, |
|
{ |
|
"epoch": 2.27, |
|
"learning_rate": 1.126157032817658e-06, |
|
"loss": 0.2347, |
|
"step": 145000 |
|
}, |
|
{ |
|
"epoch": 2.35, |
|
"learning_rate": 1.0937924784775714e-06, |
|
"loss": 0.2441, |
|
"step": 150000 |
|
}, |
|
{ |
|
"epoch": 2.43, |
|
"learning_rate": 1.0614279241374847e-06, |
|
"loss": 0.2456, |
|
"step": 155000 |
|
}, |
|
{ |
|
"epoch": 2.51, |
|
"learning_rate": 1.029063369797398e-06, |
|
"loss": 0.2375, |
|
"step": 160000 |
|
}, |
|
{ |
|
"epoch": 2.59, |
|
"learning_rate": 9.966988154573111e-07, |
|
"loss": 0.2441, |
|
"step": 165000 |
|
}, |
|
{ |
|
"epoch": 2.66, |
|
"learning_rate": 9.643342611172244e-07, |
|
"loss": 0.2376, |
|
"step": 170000 |
|
}, |
|
{ |
|
"epoch": 2.74, |
|
"learning_rate": 9.319697067771376e-07, |
|
"loss": 0.2386, |
|
"step": 175000 |
|
}, |
|
{ |
|
"epoch": 2.82, |
|
"learning_rate": 8.996051524370509e-07, |
|
"loss": 0.2387, |
|
"step": 180000 |
|
}, |
|
{ |
|
"epoch": 2.9, |
|
"learning_rate": 8.672405980969641e-07, |
|
"loss": 0.238, |
|
"step": 185000 |
|
}, |
|
{ |
|
"epoch": 2.98, |
|
"learning_rate": 8.348760437568775e-07, |
|
"loss": 0.234, |
|
"step": 190000 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.32063561166739224, |
|
"eval_auc": 0.9156791507926754, |
|
"eval_f1": 0.3746009193872616, |
|
"eval_loss": 1.388353705406189, |
|
"eval_precision": 0.9076853642985949, |
|
"eval_recall": 0.32063561166739224, |
|
"eval_runtime": 4.7646, |
|
"eval_samples_per_second": 964.188, |
|
"step": 191388 |
|
}, |
|
{ |
|
"epoch": 3.06, |
|
"learning_rate": 8.025114894167907e-07, |
|
"loss": 0.2366, |
|
"step": 195000 |
|
}, |
|
{ |
|
"epoch": 3.13, |
|
"learning_rate": 7.70146935076704e-07, |
|
"loss": 0.2343, |
|
"step": 200000 |
|
}, |
|
{ |
|
"epoch": 3.21, |
|
"learning_rate": 7.377823807366172e-07, |
|
"loss": 0.2353, |
|
"step": 205000 |
|
}, |
|
{ |
|
"epoch": 3.29, |
|
"learning_rate": 7.054178263965305e-07, |
|
"loss": 0.2353, |
|
"step": 210000 |
|
}, |
|
{ |
|
"epoch": 3.37, |
|
"learning_rate": 6.730532720564438e-07, |
|
"loss": 0.2328, |
|
"step": 215000 |
|
}, |
|
{ |
|
"epoch": 3.45, |
|
"learning_rate": 6.40688717716357e-07, |
|
"loss": 0.2332, |
|
"step": 220000 |
|
}, |
|
{ |
|
"epoch": 3.53, |
|
"learning_rate": 6.083241633762702e-07, |
|
"loss": 0.2374, |
|
"step": 225000 |
|
}, |
|
{ |
|
"epoch": 3.61, |
|
"learning_rate": 5.759596090361835e-07, |
|
"loss": 0.2367, |
|
"step": 230000 |
|
}, |
|
{ |
|
"epoch": 3.68, |
|
"learning_rate": 5.435950546960968e-07, |
|
"loss": 0.2379, |
|
"step": 235000 |
|
}, |
|
{ |
|
"epoch": 3.76, |
|
"learning_rate": 5.112305003560101e-07, |
|
"loss": 0.2354, |
|
"step": 240000 |
|
}, |
|
{ |
|
"epoch": 3.84, |
|
"learning_rate": 4.788659460159234e-07, |
|
"loss": 0.235, |
|
"step": 245000 |
|
}, |
|
{ |
|
"epoch": 3.92, |
|
"learning_rate": 4.4650139167583663e-07, |
|
"loss": 0.2362, |
|
"step": 250000 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 4.1413683733574987e-07, |
|
"loss": 0.24, |
|
"step": 255000 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.38528515454941226, |
|
"eval_auc": 0.9194136352464053, |
|
"eval_f1": 0.45565962643131613, |
|
"eval_loss": 1.2999894618988037, |
|
"eval_precision": 0.9088106767314909, |
|
"eval_recall": 0.38528515454941226, |
|
"eval_runtime": 4.7332, |
|
"eval_samples_per_second": 970.591, |
|
"step": 255184 |
|
} |
|
], |
|
"max_steps": 318980, |
|
"num_train_epochs": 5, |
|
"total_flos": 4.841807205051138e+18, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|