| { | |
| "best_metric": 0.3388192057609558, | |
| "best_model_checkpoint": "outputs/output_8_clip14_cxrbert/checkpoint-22500", | |
| "epoch": 8.0, | |
| "global_step": 43608, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.09, | |
| "learning_rate": 4.999999755266707e-05, | |
| "loss": 0.7951, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "eval_loss": 1.1912389993667603, | |
| "eval_runtime": 139.1386, | |
| "eval_samples_per_second": 58.747, | |
| "eval_steps_per_second": 2.451, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "learning_rate": 4.993123185382302e-05, | |
| "loss": 0.5887, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "eval_loss": 0.9833270907402039, | |
| "eval_runtime": 139.0379, | |
| "eval_samples_per_second": 58.79, | |
| "eval_steps_per_second": 2.453, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "learning_rate": 4.972693864808811e-05, | |
| "loss": 0.5023, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "eval_loss": 0.8458877205848694, | |
| "eval_runtime": 139.1851, | |
| "eval_samples_per_second": 58.728, | |
| "eval_steps_per_second": 2.45, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "learning_rate": 4.938822848423147e-05, | |
| "loss": 0.4709, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "eval_loss": 0.8479061126708984, | |
| "eval_runtime": 138.6519, | |
| "eval_samples_per_second": 58.953, | |
| "eval_steps_per_second": 2.459, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "learning_rate": 4.891694260878015e-05, | |
| "loss": 0.4484, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "eval_loss": 0.766708493232727, | |
| "eval_runtime": 138.9466, | |
| "eval_samples_per_second": 58.828, | |
| "eval_steps_per_second": 2.454, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.55, | |
| "learning_rate": 4.831564295690475e-05, | |
| "loss": 0.4319, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.55, | |
| "eval_loss": 0.8092461228370667, | |
| "eval_runtime": 138.9741, | |
| "eval_samples_per_second": 58.817, | |
| "eval_steps_per_second": 2.454, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "learning_rate": 4.7587598225603125e-05, | |
| "loss": 0.4181, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "eval_loss": 0.6963649392127991, | |
| "eval_runtime": 138.9254, | |
| "eval_samples_per_second": 58.837, | |
| "eval_steps_per_second": 2.455, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "learning_rate": 4.673676610488902e-05, | |
| "loss": 0.4107, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "eval_loss": 0.6463401913642883, | |
| "eval_runtime": 138.8758, | |
| "eval_samples_per_second": 58.858, | |
| "eval_steps_per_second": 2.455, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "learning_rate": 4.576777176357795e-05, | |
| "loss": 0.3723, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "eval_loss": 0.7892907857894897, | |
| "eval_runtime": 138.7167, | |
| "eval_samples_per_second": 58.926, | |
| "eval_steps_per_second": 2.458, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "learning_rate": 4.468588270662272e-05, | |
| "loss": 0.3746, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "eval_loss": 0.686305582523346, | |
| "eval_runtime": 139.0126, | |
| "eval_samples_per_second": 58.8, | |
| "eval_steps_per_second": 2.453, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 1.01, | |
| "learning_rate": 4.349698014067534e-05, | |
| "loss": 0.3667, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 1.01, | |
| "eval_loss": 0.6910073161125183, | |
| "eval_runtime": 138.8546, | |
| "eval_samples_per_second": 58.867, | |
| "eval_steps_per_second": 2.456, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "learning_rate": 4.220752700353382e-05, | |
| "loss": 0.3253, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "eval_loss": 0.6863256096839905, | |
| "eval_runtime": 138.8547, | |
| "eval_samples_per_second": 58.867, | |
| "eval_steps_per_second": 2.456, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 1.19, | |
| "learning_rate": 4.082453283126738e-05, | |
| "loss": 0.3274, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 1.19, | |
| "eval_loss": 0.6445034146308899, | |
| "eval_runtime": 138.846, | |
| "eval_samples_per_second": 58.871, | |
| "eval_steps_per_second": 2.456, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "learning_rate": 3.935551565400428e-05, | |
| "loss": 0.3065, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "eval_loss": 0.5908203125, | |
| "eval_runtime": 138.7486, | |
| "eval_samples_per_second": 58.912, | |
| "eval_steps_per_second": 2.458, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "learning_rate": 3.7808461127518854e-05, | |
| "loss": 0.2834, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "eval_loss": 0.6137728691101074, | |
| "eval_runtime": 139.0095, | |
| "eval_samples_per_second": 58.802, | |
| "eval_steps_per_second": 2.453, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "learning_rate": 3.6191779122780486e-05, | |
| "loss": 0.293, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "eval_loss": 0.6515378355979919, | |
| "eval_runtime": 139.1162, | |
| "eval_samples_per_second": 58.757, | |
| "eval_steps_per_second": 2.451, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "learning_rate": 3.4514258009446234e-05, | |
| "loss": 0.303, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "eval_loss": 0.5806155800819397, | |
| "eval_runtime": 138.924, | |
| "eval_samples_per_second": 58.838, | |
| "eval_steps_per_second": 2.455, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 1.65, | |
| "learning_rate": 3.278501688181439e-05, | |
| "loss": 0.2638, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 1.65, | |
| "eval_loss": 0.5586961507797241, | |
| "eval_runtime": 139.1301, | |
| "eval_samples_per_second": 58.751, | |
| "eval_steps_per_second": 2.451, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 1.74, | |
| "learning_rate": 3.101345598694112e-05, | |
| "loss": 0.2593, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 1.74, | |
| "eval_loss": 0.5215563178062439, | |
| "eval_runtime": 138.9957, | |
| "eval_samples_per_second": 58.808, | |
| "eval_steps_per_second": 2.453, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "learning_rate": 2.9209205624395885e-05, | |
| "loss": 0.2451, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "eval_loss": 0.5282728672027588, | |
| "eval_runtime": 138.8608, | |
| "eval_samples_per_second": 58.865, | |
| "eval_steps_per_second": 2.456, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 1.93, | |
| "learning_rate": 2.7382073795438957e-05, | |
| "loss": 0.2468, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 1.93, | |
| "eval_loss": 0.5001487135887146, | |
| "eval_runtime": 138.9207, | |
| "eval_samples_per_second": 58.839, | |
| "eval_steps_per_second": 2.455, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 2.02, | |
| "learning_rate": 2.5541992886203175e-05, | |
| "loss": 0.2295, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 2.02, | |
| "eval_loss": 0.49750879406929016, | |
| "eval_runtime": 138.9502, | |
| "eval_samples_per_second": 58.827, | |
| "eval_steps_per_second": 2.454, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 2.11, | |
| "learning_rate": 2.3698965674712838e-05, | |
| "loss": 0.1953, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 2.11, | |
| "eval_loss": 0.4750489890575409, | |
| "eval_runtime": 138.8668, | |
| "eval_samples_per_second": 58.862, | |
| "eval_steps_per_second": 2.456, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "learning_rate": 2.1863010955248543e-05, | |
| "loss": 0.1954, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "eval_loss": 0.45723679661750793, | |
| "eval_runtime": 139.0817, | |
| "eval_samples_per_second": 58.771, | |
| "eval_steps_per_second": 2.452, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 2.29, | |
| "learning_rate": 2.0044109075646793e-05, | |
| "loss": 0.1737, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 2.29, | |
| "eval_loss": 0.4731180667877197, | |
| "eval_runtime": 139.0822, | |
| "eval_samples_per_second": 58.771, | |
| "eval_steps_per_second": 2.452, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 2.38, | |
| "learning_rate": 1.8252147683596503e-05, | |
| "loss": 0.175, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 2.38, | |
| "eval_loss": 0.4526049494743347, | |
| "eval_runtime": 139.059, | |
| "eval_samples_per_second": 58.781, | |
| "eval_steps_per_second": 2.452, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 2.48, | |
| "learning_rate": 1.6496867976858525e-05, | |
| "loss": 0.1873, | |
| "step": 13500 | |
| }, | |
| { | |
| "epoch": 2.48, | |
| "eval_loss": 0.4890150725841522, | |
| "eval_runtime": 138.99, | |
| "eval_samples_per_second": 58.81, | |
| "eval_steps_per_second": 2.453, | |
| "step": 13500 | |
| }, | |
| { | |
| "epoch": 2.57, | |
| "learning_rate": 1.4787811749594674e-05, | |
| "loss": 0.1809, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 2.57, | |
| "eval_loss": 0.4210197627544403, | |
| "eval_runtime": 139.0599, | |
| "eval_samples_per_second": 58.78, | |
| "eval_steps_per_second": 2.452, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 2.66, | |
| "learning_rate": 1.3134269522665521e-05, | |
| "loss": 0.1711, | |
| "step": 14500 | |
| }, | |
| { | |
| "epoch": 2.66, | |
| "eval_loss": 0.4197298586368561, | |
| "eval_runtime": 139.0776, | |
| "eval_samples_per_second": 58.773, | |
| "eval_steps_per_second": 2.452, | |
| "step": 14500 | |
| }, | |
| { | |
| "epoch": 2.75, | |
| "learning_rate": 1.1545230039863117e-05, | |
| "loss": 0.1457, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 2.75, | |
| "eval_loss": 0.3998343348503113, | |
| "eval_runtime": 138.7787, | |
| "eval_samples_per_second": 58.9, | |
| "eval_steps_per_second": 2.457, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 2.84, | |
| "learning_rate": 1.0029331404620077e-05, | |
| "loss": 0.1583, | |
| "step": 15500 | |
| }, | |
| { | |
| "epoch": 2.84, | |
| "eval_loss": 0.392282098531723, | |
| "eval_runtime": 139.0688, | |
| "eval_samples_per_second": 58.777, | |
| "eval_steps_per_second": 2.452, | |
| "step": 15500 | |
| }, | |
| { | |
| "epoch": 2.94, | |
| "learning_rate": 8.59481412281825e-06, | |
| "loss": 0.1579, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 2.94, | |
| "eval_loss": 0.3823428750038147, | |
| "eval_runtime": 139.0069, | |
| "eval_samples_per_second": 58.803, | |
| "eval_steps_per_second": 2.453, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 3.03, | |
| "learning_rate": 7.249476306959052e-06, | |
| "loss": 0.1339, | |
| "step": 16500 | |
| }, | |
| { | |
| "epoch": 3.03, | |
| "eval_loss": 0.3654000163078308, | |
| "eval_runtime": 139.085, | |
| "eval_samples_per_second": 58.77, | |
| "eval_steps_per_second": 2.452, | |
| "step": 16500 | |
| }, | |
| { | |
| "epoch": 3.12, | |
| "learning_rate": 6.00063128520765e-06, | |
| "loss": 0.1164, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 3.12, | |
| "eval_loss": 0.3591544032096863, | |
| "eval_runtime": 139.2185, | |
| "eval_samples_per_second": 58.713, | |
| "eval_steps_per_second": 2.449, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 3.21, | |
| "learning_rate": 4.855067845750841e-06, | |
| "loss": 0.1217, | |
| "step": 17500 | |
| }, | |
| { | |
| "epoch": 3.21, | |
| "eval_loss": 0.3641490936279297, | |
| "eval_runtime": 139.1903, | |
| "eval_samples_per_second": 58.725, | |
| "eval_steps_per_second": 2.45, | |
| "step": 17500 | |
| }, | |
| { | |
| "epoch": 3.3, | |
| "learning_rate": 3.8190133325820834e-06, | |
| "loss": 0.119, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 3.3, | |
| "eval_loss": 0.3553272783756256, | |
| "eval_runtime": 139.0893, | |
| "eval_samples_per_second": 58.768, | |
| "eval_steps_per_second": 2.452, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 3.39, | |
| "learning_rate": 2.8980997933272802e-06, | |
| "loss": 0.1151, | |
| "step": 18500 | |
| }, | |
| { | |
| "epoch": 3.39, | |
| "eval_loss": 0.35238373279571533, | |
| "eval_runtime": 139.0702, | |
| "eval_samples_per_second": 58.776, | |
| "eval_steps_per_second": 2.452, | |
| "step": 18500 | |
| }, | |
| { | |
| "epoch": 3.49, | |
| "learning_rate": 2.0973333631332525e-06, | |
| "loss": 0.119, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 3.49, | |
| "eval_loss": 0.3452140688896179, | |
| "eval_runtime": 138.934, | |
| "eval_samples_per_second": 58.834, | |
| "eval_steps_per_second": 2.454, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 3.58, | |
| "learning_rate": 1.4210670510499595e-06, | |
| "loss": 0.102, | |
| "step": 19500 | |
| }, | |
| { | |
| "epoch": 3.58, | |
| "eval_loss": 0.34390997886657715, | |
| "eval_runtime": 139.1805, | |
| "eval_samples_per_second": 58.729, | |
| "eval_steps_per_second": 2.45, | |
| "step": 19500 | |
| }, | |
| { | |
| "epoch": 3.67, | |
| "learning_rate": 8.729770768409501e-07, | |
| "loss": 0.1085, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 3.67, | |
| "eval_loss": 0.3422289192676544, | |
| "eval_runtime": 139.0942, | |
| "eval_samples_per_second": 58.766, | |
| "eval_steps_per_second": 2.452, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 3.76, | |
| "learning_rate": 4.5604288685657804e-07, | |
| "loss": 0.1142, | |
| "step": 20500 | |
| }, | |
| { | |
| "epoch": 3.76, | |
| "eval_loss": 0.33955371379852295, | |
| "eval_runtime": 138.9826, | |
| "eval_samples_per_second": 58.813, | |
| "eval_steps_per_second": 2.454, | |
| "step": 20500 | |
| }, | |
| { | |
| "epoch": 3.85, | |
| "learning_rate": 1.7253095760459415e-07, | |
| "loss": 0.1038, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 3.85, | |
| "eval_loss": 0.33917009830474854, | |
| "eval_runtime": 139.1121, | |
| "eval_samples_per_second": 58.758, | |
| "eval_steps_per_second": 2.451, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 3.94, | |
| "learning_rate": 2.3982475062916954e-08, | |
| "loss": 0.1143, | |
| "step": 21500 | |
| }, | |
| { | |
| "epoch": 3.94, | |
| "eval_loss": 0.33897778391838074, | |
| "eval_runtime": 139.1906, | |
| "eval_samples_per_second": 58.725, | |
| "eval_steps_per_second": 2.45, | |
| "step": 21500 | |
| }, | |
| { | |
| "epoch": 4.04, | |
| "learning_rate": 1.1204956710403336e-08, | |
| "loss": 0.0983, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 4.04, | |
| "eval_loss": 0.3389684855937958, | |
| "eval_runtime": 139.2217, | |
| "eval_samples_per_second": 58.712, | |
| "eval_steps_per_second": 2.449, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 4.13, | |
| "learning_rate": 1.3426786181872375e-07, | |
| "loss": 0.0974, | |
| "step": 22500 | |
| }, | |
| { | |
| "epoch": 4.13, | |
| "eval_loss": 0.3388192057609558, | |
| "eval_runtime": 139.1103, | |
| "eval_samples_per_second": 58.759, | |
| "eval_steps_per_second": 2.451, | |
| "step": 22500 | |
| }, | |
| { | |
| "epoch": 4.22, | |
| "learning_rate": 3.925022138680762e-07, | |
| "loss": 0.1007, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 4.22, | |
| "eval_loss": 0.33886849880218506, | |
| "eval_runtime": 139.2186, | |
| "eval_samples_per_second": 58.713, | |
| "eval_steps_per_second": 2.449, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 4.31, | |
| "learning_rate": 7.845042371392303e-07, | |
| "loss": 0.0903, | |
| "step": 23500 | |
| }, | |
| { | |
| "epoch": 4.31, | |
| "eval_loss": 0.33964774012565613, | |
| "eval_runtime": 139.1917, | |
| "eval_samples_per_second": 58.725, | |
| "eval_steps_per_second": 2.45, | |
| "step": 23500 | |
| }, | |
| { | |
| "epoch": 4.4, | |
| "learning_rate": 1.308142987713265e-06, | |
| "loss": 0.095, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 4.4, | |
| "eval_loss": 0.3394069969654083, | |
| "eval_runtime": 139.0407, | |
| "eval_samples_per_second": 58.789, | |
| "eval_steps_per_second": 2.453, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 4.49, | |
| "learning_rate": 1.960571937396438e-06, | |
| "loss": 0.0955, | |
| "step": 24500 | |
| }, | |
| { | |
| "epoch": 4.49, | |
| "eval_loss": 0.3435823619365692, | |
| "eval_runtime": 138.8656, | |
| "eval_samples_per_second": 58.863, | |
| "eval_steps_per_second": 2.456, | |
| "step": 24500 | |
| }, | |
| { | |
| "epoch": 4.59, | |
| "learning_rate": 2.7382444475993473e-06, | |
| "loss": 0.1032, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 4.59, | |
| "eval_loss": 0.3425971269607544, | |
| "eval_runtime": 139.1498, | |
| "eval_samples_per_second": 58.742, | |
| "eval_steps_per_second": 2.451, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 4.68, | |
| "learning_rate": 3.636933049053598e-06, | |
| "loss": 0.1037, | |
| "step": 25500 | |
| }, | |
| { | |
| "epoch": 4.68, | |
| "eval_loss": 0.3484514653682709, | |
| "eval_runtime": 139.2414, | |
| "eval_samples_per_second": 58.704, | |
| "eval_steps_per_second": 2.449, | |
| "step": 25500 | |
| }, | |
| { | |
| "epoch": 4.77, | |
| "learning_rate": 4.651752422560337e-06, | |
| "loss": 0.103, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 4.77, | |
| "eval_loss": 0.35472801327705383, | |
| "eval_runtime": 139.171, | |
| "eval_samples_per_second": 58.733, | |
| "eval_steps_per_second": 2.45, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 4.86, | |
| "learning_rate": 5.777185955846176e-06, | |
| "loss": 0.0987, | |
| "step": 26500 | |
| }, | |
| { | |
| "epoch": 4.86, | |
| "eval_loss": 0.355197936296463, | |
| "eval_runtime": 139.255, | |
| "eval_samples_per_second": 58.698, | |
| "eval_steps_per_second": 2.449, | |
| "step": 26500 | |
| }, | |
| { | |
| "epoch": 4.95, | |
| "learning_rate": 7.007115732161859e-06, | |
| "loss": 0.1076, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 4.95, | |
| "eval_loss": 0.35372602939605713, | |
| "eval_runtime": 139.256, | |
| "eval_samples_per_second": 58.698, | |
| "eval_steps_per_second": 2.449, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 5.04, | |
| "learning_rate": 8.334855787604286e-06, | |
| "loss": 0.1134, | |
| "step": 27500 | |
| }, | |
| { | |
| "epoch": 5.04, | |
| "eval_loss": 0.35491758584976196, | |
| "eval_runtime": 139.157, | |
| "eval_samples_per_second": 58.739, | |
| "eval_steps_per_second": 2.45, | |
| "step": 27500 | |
| }, | |
| { | |
| "epoch": 5.14, | |
| "learning_rate": 9.753188456373041e-06, | |
| "loss": 0.1044, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 5.14, | |
| "eval_loss": 0.362209677696228, | |
| "eval_runtime": 139.1058, | |
| "eval_samples_per_second": 58.761, | |
| "eval_steps_per_second": 2.451, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 5.23, | |
| "learning_rate": 1.1254403606386926e-05, | |
| "loss": 0.1099, | |
| "step": 28500 | |
| }, | |
| { | |
| "epoch": 5.23, | |
| "eval_loss": 0.37740227580070496, | |
| "eval_runtime": 139.2551, | |
| "eval_samples_per_second": 58.698, | |
| "eval_steps_per_second": 2.449, | |
| "step": 28500 | |
| }, | |
| { | |
| "epoch": 5.32, | |
| "learning_rate": 1.2830340551973424e-05, | |
| "loss": 0.1129, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 5.32, | |
| "eval_loss": 0.387184202671051, | |
| "eval_runtime": 138.9995, | |
| "eval_samples_per_second": 58.806, | |
| "eval_steps_per_second": 2.453, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 5.41, | |
| "learning_rate": 1.4472432415791445e-05, | |
| "loss": 0.1235, | |
| "step": 29500 | |
| }, | |
| { | |
| "epoch": 5.41, | |
| "eval_loss": 0.3766579329967499, | |
| "eval_runtime": 139.1988, | |
| "eval_samples_per_second": 58.722, | |
| "eval_steps_per_second": 2.45, | |
| "step": 29500 | |
| }, | |
| { | |
| "epoch": 5.5, | |
| "learning_rate": 1.6171752698833968e-05, | |
| "loss": 0.1099, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 5.5, | |
| "eval_loss": 0.3879966139793396, | |
| "eval_runtime": 139.1987, | |
| "eval_samples_per_second": 58.722, | |
| "eval_steps_per_second": 2.45, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 5.6, | |
| "learning_rate": 1.7919063805352744e-05, | |
| "loss": 0.1331, | |
| "step": 30500 | |
| }, | |
| { | |
| "epoch": 5.6, | |
| "eval_loss": 0.41808027029037476, | |
| "eval_runtime": 139.3796, | |
| "eval_samples_per_second": 58.646, | |
| "eval_steps_per_second": 2.447, | |
| "step": 30500 | |
| }, | |
| { | |
| "epoch": 5.69, | |
| "learning_rate": 1.9704867258922042e-05, | |
| "loss": 0.134, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 5.69, | |
| "eval_loss": 0.4090297818183899, | |
| "eval_runtime": 139.2797, | |
| "eval_samples_per_second": 58.688, | |
| "eval_steps_per_second": 2.448, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 5.78, | |
| "learning_rate": 2.1519455336663182e-05, | |
| "loss": 0.142, | |
| "step": 31500 | |
| }, | |
| { | |
| "epoch": 5.78, | |
| "eval_loss": 0.4044671654701233, | |
| "eval_runtime": 139.2242, | |
| "eval_samples_per_second": 58.711, | |
| "eval_steps_per_second": 2.449, | |
| "step": 31500 | |
| }, | |
| { | |
| "epoch": 5.87, | |
| "learning_rate": 2.335296384094446e-05, | |
| "loss": 0.1441, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 5.87, | |
| "eval_loss": 0.41757142543792725, | |
| "eval_runtime": 139.1671, | |
| "eval_samples_per_second": 58.735, | |
| "eval_steps_per_second": 2.45, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 5.96, | |
| "learning_rate": 2.51954257216856e-05, | |
| "loss": 0.1577, | |
| "step": 32500 | |
| }, | |
| { | |
| "epoch": 5.96, | |
| "eval_loss": 0.43774479627609253, | |
| "eval_runtime": 139.219, | |
| "eval_samples_per_second": 58.713, | |
| "eval_steps_per_second": 2.449, | |
| "step": 32500 | |
| }, | |
| { | |
| "epoch": 6.05, | |
| "learning_rate": 2.703682525777417e-05, | |
| "loss": 0.1539, | |
| "step": 33000 | |
| }, | |
| { | |
| "epoch": 6.05, | |
| "eval_loss": 0.43269890546798706, | |
| "eval_runtime": 139.3068, | |
| "eval_samples_per_second": 58.676, | |
| "eval_steps_per_second": 2.448, | |
| "step": 33000 | |
| }, | |
| { | |
| "epoch": 6.15, | |
| "learning_rate": 2.8867152503059856e-05, | |
| "loss": 0.1475, | |
| "step": 33500 | |
| }, | |
| { | |
| "epoch": 6.15, | |
| "eval_loss": 0.4586590826511383, | |
| "eval_runtime": 139.2759, | |
| "eval_samples_per_second": 58.689, | |
| "eval_steps_per_second": 2.448, | |
| "step": 33500 | |
| }, | |
| { | |
| "epoch": 6.24, | |
| "learning_rate": 3.0676457700956226e-05, | |
| "loss": 0.1616, | |
| "step": 34000 | |
| }, | |
| { | |
| "epoch": 6.24, | |
| "eval_loss": 0.47090479731559753, | |
| "eval_runtime": 139.1928, | |
| "eval_samples_per_second": 58.724, | |
| "eval_steps_per_second": 2.45, | |
| "step": 34000 | |
| }, | |
| { | |
| "epoch": 6.33, | |
| "learning_rate": 3.2454905371848176e-05, | |
| "loss": 0.1671, | |
| "step": 34500 | |
| }, | |
| { | |
| "epoch": 6.33, | |
| "eval_loss": 0.49197548627853394, | |
| "eval_runtime": 139.1637, | |
| "eval_samples_per_second": 58.737, | |
| "eval_steps_per_second": 2.45, | |
| "step": 34500 | |
| }, | |
| { | |
| "epoch": 6.42, | |
| "learning_rate": 3.4192827779284355e-05, | |
| "loss": 0.1792, | |
| "step": 35000 | |
| }, | |
| { | |
| "epoch": 6.42, | |
| "eval_loss": 0.48025813698768616, | |
| "eval_runtime": 139.2895, | |
| "eval_samples_per_second": 58.684, | |
| "eval_steps_per_second": 2.448, | |
| "step": 35000 | |
| }, | |
| { | |
| "epoch": 6.51, | |
| "learning_rate": 3.588077748430818e-05, | |
| "loss": 0.2025, | |
| "step": 35500 | |
| }, | |
| { | |
| "epoch": 6.51, | |
| "eval_loss": 0.5274905562400818, | |
| "eval_runtime": 138.8747, | |
| "eval_samples_per_second": 58.859, | |
| "eval_steps_per_second": 2.455, | |
| "step": 35500 | |
| }, | |
| { | |
| "epoch": 6.6, | |
| "learning_rate": 3.7509578702240475e-05, | |
| "loss": 0.1823, | |
| "step": 36000 | |
| }, | |
| { | |
| "epoch": 6.6, | |
| "eval_loss": 0.5114786028862, | |
| "eval_runtime": 139.2682, | |
| "eval_samples_per_second": 58.692, | |
| "eval_steps_per_second": 2.449, | |
| "step": 36000 | |
| }, | |
| { | |
| "epoch": 6.7, | |
| "learning_rate": 3.9070377182734444e-05, | |
| "loss": 0.2123, | |
| "step": 36500 | |
| }, | |
| { | |
| "epoch": 6.7, | |
| "eval_loss": 0.4975065290927887, | |
| "eval_runtime": 138.9217, | |
| "eval_samples_per_second": 58.839, | |
| "eval_steps_per_second": 2.455, | |
| "step": 36500 | |
| }, | |
| { | |
| "epoch": 6.79, | |
| "learning_rate": 4.0554688341953205e-05, | |
| "loss": 0.2043, | |
| "step": 37000 | |
| }, | |
| { | |
| "epoch": 6.79, | |
| "eval_loss": 0.48896968364715576, | |
| "eval_runtime": 139.3258, | |
| "eval_samples_per_second": 58.668, | |
| "eval_steps_per_second": 2.448, | |
| "step": 37000 | |
| }, | |
| { | |
| "epoch": 6.88, | |
| "learning_rate": 4.19544433852203e-05, | |
| "loss": 0.2086, | |
| "step": 37500 | |
| }, | |
| { | |
| "epoch": 6.88, | |
| "eval_loss": 0.5374048352241516, | |
| "eval_runtime": 139.1786, | |
| "eval_samples_per_second": 58.73, | |
| "eval_steps_per_second": 2.45, | |
| "step": 37500 | |
| }, | |
| { | |
| "epoch": 6.97, | |
| "learning_rate": 4.326203316941825e-05, | |
| "loss": 0.2299, | |
| "step": 38000 | |
| }, | |
| { | |
| "epoch": 6.97, | |
| "eval_loss": 0.5565398335456848, | |
| "eval_runtime": 139.0129, | |
| "eval_samples_per_second": 58.8, | |
| "eval_steps_per_second": 2.453, | |
| "step": 38000 | |
| }, | |
| { | |
| "epoch": 7.06, | |
| "learning_rate": 4.44703495666965e-05, | |
| "loss": 0.2151, | |
| "step": 38500 | |
| }, | |
| { | |
| "epoch": 7.06, | |
| "eval_loss": 0.6073034405708313, | |
| "eval_runtime": 139.179, | |
| "eval_samples_per_second": 58.73, | |
| "eval_steps_per_second": 2.45, | |
| "step": 38500 | |
| }, | |
| { | |
| "epoch": 7.15, | |
| "learning_rate": 4.5572824104633835e-05, | |
| "loss": 0.222, | |
| "step": 39000 | |
| }, | |
| { | |
| "epoch": 7.15, | |
| "eval_loss": 0.5468436479568481, | |
| "eval_runtime": 139.1916, | |
| "eval_samples_per_second": 58.725, | |
| "eval_steps_per_second": 2.45, | |
| "step": 39000 | |
| }, | |
| { | |
| "epoch": 7.25, | |
| "learning_rate": 4.656346367280503e-05, | |
| "loss": 0.236, | |
| "step": 39500 | |
| }, | |
| { | |
| "epoch": 7.25, | |
| "eval_loss": 0.5504103899002075, | |
| "eval_runtime": 139.2016, | |
| "eval_samples_per_second": 58.721, | |
| "eval_steps_per_second": 2.45, | |
| "step": 39500 | |
| }, | |
| { | |
| "epoch": 7.34, | |
| "learning_rate": 4.743688310164889e-05, | |
| "loss": 0.2031, | |
| "step": 40000 | |
| }, | |
| { | |
| "epoch": 7.34, | |
| "eval_loss": 0.5548919439315796, | |
| "eval_runtime": 139.2056, | |
| "eval_samples_per_second": 58.719, | |
| "eval_steps_per_second": 2.45, | |
| "step": 40000 | |
| }, | |
| { | |
| "epoch": 7.43, | |
| "learning_rate": 4.818833443653748e-05, | |
| "loss": 0.2251, | |
| "step": 40500 | |
| }, | |
| { | |
| "epoch": 7.43, | |
| "eval_loss": 0.5905419588088989, | |
| "eval_runtime": 139.1367, | |
| "eval_samples_per_second": 58.748, | |
| "eval_steps_per_second": 2.451, | |
| "step": 40500 | |
| }, | |
| { | |
| "epoch": 7.52, | |
| "learning_rate": 4.881373274791077e-05, | |
| "loss": 0.2251, | |
| "step": 41000 | |
| }, | |
| { | |
| "epoch": 7.52, | |
| "eval_loss": 0.6011632680892944, | |
| "eval_runtime": 139.1129, | |
| "eval_samples_per_second": 58.758, | |
| "eval_steps_per_second": 2.451, | |
| "step": 41000 | |
| }, | |
| { | |
| "epoch": 7.61, | |
| "learning_rate": 4.9309678337171785e-05, | |
| "loss": 0.2464, | |
| "step": 41500 | |
| }, | |
| { | |
| "epoch": 7.61, | |
| "eval_loss": 0.5931146740913391, | |
| "eval_runtime": 139.1046, | |
| "eval_samples_per_second": 58.762, | |
| "eval_steps_per_second": 2.451, | |
| "step": 41500 | |
| }, | |
| { | |
| "epoch": 7.71, | |
| "learning_rate": 4.9673475217629615e-05, | |
| "loss": 0.2451, | |
| "step": 42000 | |
| }, | |
| { | |
| "epoch": 7.71, | |
| "eval_loss": 0.6498579978942871, | |
| "eval_runtime": 139.0889, | |
| "eval_samples_per_second": 58.768, | |
| "eval_steps_per_second": 2.452, | |
| "step": 42000 | |
| }, | |
| { | |
| "epoch": 7.8, | |
| "learning_rate": 4.990314577002693e-05, | |
| "loss": 0.2463, | |
| "step": 42500 | |
| }, | |
| { | |
| "epoch": 7.8, | |
| "eval_loss": 0.5696046948432922, | |
| "eval_runtime": 139.0384, | |
| "eval_samples_per_second": 58.79, | |
| "eval_steps_per_second": 2.453, | |
| "step": 42500 | |
| }, | |
| { | |
| "epoch": 7.89, | |
| "learning_rate": 4.999744149298381e-05, | |
| "loss": 0.2385, | |
| "step": 43000 | |
| }, | |
| { | |
| "epoch": 7.89, | |
| "eval_loss": 0.5360204577445984, | |
| "eval_runtime": 139.0432, | |
| "eval_samples_per_second": 58.787, | |
| "eval_steps_per_second": 2.452, | |
| "step": 43000 | |
| }, | |
| { | |
| "epoch": 7.98, | |
| "learning_rate": 4.995584978991786e-05, | |
| "loss": 0.2353, | |
| "step": 43500 | |
| }, | |
| { | |
| "epoch": 7.98, | |
| "eval_loss": 0.5489608645439148, | |
| "eval_runtime": 139.1804, | |
| "eval_samples_per_second": 58.73, | |
| "eval_steps_per_second": 2.45, | |
| "step": 43500 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "step": 43608, | |
| "total_flos": 1.5655045448788992e+17, | |
| "train_loss": 0.21080181559736064, | |
| "train_runtime": 44575.4239, | |
| "train_samples_per_second": 11.741, | |
| "train_steps_per_second": 0.978 | |
| } | |
| ], | |
| "max_steps": 43608, | |
| "num_train_epochs": 8, | |
| "total_flos": 1.5655045448788992e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |