| { |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 1.596169193934557, |
| "eval_steps": 10, |
| "global_step": 1000, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.007980845969672785, |
| "grad_norm": 0.7833889722824097, |
| "learning_rate": 0.00016, |
| "loss": 1.3081, |
| "step": 5 |
| }, |
| { |
| "epoch": 0.01596169193934557, |
| "grad_norm": 0.6466716527938843, |
| "learning_rate": 0.00012, |
| "loss": 1.2368, |
| "step": 10 |
| }, |
| { |
| "epoch": 0.01596169193934557, |
| "eval_loss": 1.2068681716918945, |
| "eval_runtime": 20.8667, |
| "eval_samples_per_second": 1.486, |
| "eval_steps_per_second": 0.767, |
| "step": 10 |
| }, |
| { |
| "epoch": 0.023942537909018357, |
| "grad_norm": 0.6432256698608398, |
| "learning_rate": 8e-05, |
| "loss": 1.1477, |
| "step": 15 |
| }, |
| { |
| "epoch": 0.03192338387869114, |
| "grad_norm": 0.6714484095573425, |
| "learning_rate": 4e-05, |
| "loss": 1.0776, |
| "step": 20 |
| }, |
| { |
| "epoch": 0.03192338387869114, |
| "eval_loss": 1.16266667842865, |
| "eval_runtime": 21.285, |
| "eval_samples_per_second": 1.456, |
| "eval_steps_per_second": 0.752, |
| "step": 20 |
| }, |
| { |
| "epoch": 0.03990422984836393, |
| "grad_norm": 0.6418822407722473, |
| "learning_rate": 0.0, |
| "loss": 1.1614, |
| "step": 25 |
| }, |
| { |
| "epoch": 0.047885075818036714, |
| "grad_norm": 0.8091150522232056, |
| "learning_rate": 0.000194, |
| "loss": 1.1676, |
| "step": 30 |
| }, |
| { |
| "epoch": 0.047885075818036714, |
| "eval_loss": 1.151872992515564, |
| "eval_runtime": 21.3531, |
| "eval_samples_per_second": 1.452, |
| "eval_steps_per_second": 0.749, |
| "step": 30 |
| }, |
| { |
| "epoch": 0.055865921787709494, |
| "grad_norm": 0.7295385003089905, |
| "learning_rate": 0.000193, |
| "loss": 1.1319, |
| "step": 35 |
| }, |
| { |
| "epoch": 0.06384676775738228, |
| "grad_norm": 1.056991696357727, |
| "learning_rate": 0.000192, |
| "loss": 1.0188, |
| "step": 40 |
| }, |
| { |
| "epoch": 0.06384676775738228, |
| "eval_loss": 1.1241333484649658, |
| "eval_runtime": 21.3665, |
| "eval_samples_per_second": 1.451, |
| "eval_steps_per_second": 0.749, |
| "step": 40 |
| }, |
| { |
| "epoch": 0.07182761372705507, |
| "grad_norm": 0.7033870816230774, |
| "learning_rate": 0.000191, |
| "loss": 1.0331, |
| "step": 45 |
| }, |
| { |
| "epoch": 0.07980845969672785, |
| "grad_norm": 0.6337556838989258, |
| "learning_rate": 0.00019, |
| "loss": 1.1616, |
| "step": 50 |
| }, |
| { |
| "epoch": 0.07980845969672785, |
| "eval_loss": 1.1174383163452148, |
| "eval_runtime": 20.7909, |
| "eval_samples_per_second": 1.491, |
| "eval_steps_per_second": 0.77, |
| "step": 50 |
| }, |
| { |
| "epoch": 0.08778930566640064, |
| "grad_norm": 0.7127214074134827, |
| "learning_rate": 0.00018899999999999999, |
| "loss": 1.0874, |
| "step": 55 |
| }, |
| { |
| "epoch": 0.09577015163607343, |
| "grad_norm": 0.7299643158912659, |
| "learning_rate": 0.000188, |
| "loss": 1.0098, |
| "step": 60 |
| }, |
| { |
| "epoch": 0.09577015163607343, |
| "eval_loss": 1.106464147567749, |
| "eval_runtime": 21.2918, |
| "eval_samples_per_second": 1.456, |
| "eval_steps_per_second": 0.751, |
| "step": 60 |
| }, |
| { |
| "epoch": 0.10375099760574621, |
| "grad_norm": 0.7458897829055786, |
| "learning_rate": 0.00018700000000000002, |
| "loss": 1.0114, |
| "step": 65 |
| }, |
| { |
| "epoch": 0.11173184357541899, |
| "grad_norm": 0.7154062986373901, |
| "learning_rate": 0.00018600000000000002, |
| "loss": 1.0804, |
| "step": 70 |
| }, |
| { |
| "epoch": 0.11173184357541899, |
| "eval_loss": 1.087841510772705, |
| "eval_runtime": 21.2696, |
| "eval_samples_per_second": 1.457, |
| "eval_steps_per_second": 0.752, |
| "step": 70 |
| }, |
| { |
| "epoch": 0.11971268954509177, |
| "grad_norm": 0.630651593208313, |
| "learning_rate": 0.00018500000000000002, |
| "loss": 0.988, |
| "step": 75 |
| }, |
| { |
| "epoch": 0.12769353551476456, |
| "grad_norm": 0.6520997285842896, |
| "learning_rate": 0.00018400000000000003, |
| "loss": 0.9957, |
| "step": 80 |
| }, |
| { |
| "epoch": 0.12769353551476456, |
| "eval_loss": 1.0693910121917725, |
| "eval_runtime": 21.2801, |
| "eval_samples_per_second": 1.457, |
| "eval_steps_per_second": 0.752, |
| "step": 80 |
| }, |
| { |
| "epoch": 0.13567438148443736, |
| "grad_norm": 0.612789511680603, |
| "learning_rate": 0.000183, |
| "loss": 1.0659, |
| "step": 85 |
| }, |
| { |
| "epoch": 0.14365522745411013, |
| "grad_norm": 0.7308149337768555, |
| "learning_rate": 0.000182, |
| "loss": 1.0044, |
| "step": 90 |
| }, |
| { |
| "epoch": 0.14365522745411013, |
| "eval_loss": 1.0618408918380737, |
| "eval_runtime": 21.4836, |
| "eval_samples_per_second": 1.443, |
| "eval_steps_per_second": 0.745, |
| "step": 90 |
| }, |
| { |
| "epoch": 0.1516360734237829, |
| "grad_norm": 0.6600955724716187, |
| "learning_rate": 0.000181, |
| "loss": 0.936, |
| "step": 95 |
| }, |
| { |
| "epoch": 0.1596169193934557, |
| "grad_norm": 0.5939749479293823, |
| "learning_rate": 0.00018, |
| "loss": 1.0213, |
| "step": 100 |
| }, |
| { |
| "epoch": 0.1596169193934557, |
| "eval_loss": 1.06107497215271, |
| "eval_runtime": 20.9063, |
| "eval_samples_per_second": 1.483, |
| "eval_steps_per_second": 0.765, |
| "step": 100 |
| }, |
| { |
| "epoch": 0.16759776536312848, |
| "grad_norm": 0.6475443840026855, |
| "learning_rate": 0.00017900000000000001, |
| "loss": 1.0099, |
| "step": 105 |
| }, |
| { |
| "epoch": 0.17557861133280128, |
| "grad_norm": 0.6048471927642822, |
| "learning_rate": 0.00017800000000000002, |
| "loss": 0.9587, |
| "step": 110 |
| }, |
| { |
| "epoch": 0.17557861133280128, |
| "eval_loss": 1.0483193397521973, |
| "eval_runtime": 21.4083, |
| "eval_samples_per_second": 1.448, |
| "eval_steps_per_second": 0.747, |
| "step": 110 |
| }, |
| { |
| "epoch": 0.18355945730247406, |
| "grad_norm": 0.5856403112411499, |
| "learning_rate": 0.00017700000000000002, |
| "loss": 0.9908, |
| "step": 115 |
| }, |
| { |
| "epoch": 0.19154030327214686, |
| "grad_norm": 0.6811533570289612, |
| "learning_rate": 0.00017600000000000002, |
| "loss": 0.9662, |
| "step": 120 |
| }, |
| { |
| "epoch": 0.19154030327214686, |
| "eval_loss": 1.055928349494934, |
| "eval_runtime": 21.2973, |
| "eval_samples_per_second": 1.456, |
| "eval_steps_per_second": 0.751, |
| "step": 120 |
| }, |
| { |
| "epoch": 0.19952114924181963, |
| "grad_norm": 0.5635804533958435, |
| "learning_rate": 0.000175, |
| "loss": 0.9637, |
| "step": 125 |
| }, |
| { |
| "epoch": 0.20750199521149243, |
| "grad_norm": 0.6101672053337097, |
| "learning_rate": 0.000174, |
| "loss": 0.9846, |
| "step": 130 |
| }, |
| { |
| "epoch": 0.20750199521149243, |
| "eval_loss": 1.0435600280761719, |
| "eval_runtime": 21.4526, |
| "eval_samples_per_second": 1.445, |
| "eval_steps_per_second": 0.746, |
| "step": 130 |
| }, |
| { |
| "epoch": 0.2154828411811652, |
| "grad_norm": 0.649726152420044, |
| "learning_rate": 0.000173, |
| "loss": 0.9995, |
| "step": 135 |
| }, |
| { |
| "epoch": 0.22346368715083798, |
| "grad_norm": 0.6642662286758423, |
| "learning_rate": 0.000172, |
| "loss": 0.9537, |
| "step": 140 |
| }, |
| { |
| "epoch": 0.22346368715083798, |
| "eval_loss": 1.0289674997329712, |
| "eval_runtime": 21.0765, |
| "eval_samples_per_second": 1.471, |
| "eval_steps_per_second": 0.759, |
| "step": 140 |
| }, |
| { |
| "epoch": 0.23144453312051078, |
| "grad_norm": 0.5957498550415039, |
| "learning_rate": 0.000171, |
| "loss": 1.0444, |
| "step": 145 |
| }, |
| { |
| "epoch": 0.23942537909018355, |
| "grad_norm": 0.7650970816612244, |
| "learning_rate": 0.00017, |
| "loss": 1.0177, |
| "step": 150 |
| }, |
| { |
| "epoch": 0.23942537909018355, |
| "eval_loss": 1.0302073955535889, |
| "eval_runtime": 21.0268, |
| "eval_samples_per_second": 1.474, |
| "eval_steps_per_second": 0.761, |
| "step": 150 |
| }, |
| { |
| "epoch": 0.24740622505985635, |
| "grad_norm": 0.6636956334114075, |
| "learning_rate": 0.00016900000000000002, |
| "loss": 0.9786, |
| "step": 155 |
| }, |
| { |
| "epoch": 0.2553870710295291, |
| "grad_norm": 0.7419523596763611, |
| "learning_rate": 0.000168, |
| "loss": 0.9837, |
| "step": 160 |
| }, |
| { |
| "epoch": 0.2553870710295291, |
| "eval_loss": 1.0296545028686523, |
| "eval_runtime": 21.4194, |
| "eval_samples_per_second": 1.447, |
| "eval_steps_per_second": 0.747, |
| "step": 160 |
| }, |
| { |
| "epoch": 0.2633679169992019, |
| "grad_norm": 0.5570073127746582, |
| "learning_rate": 0.000167, |
| "loss": 0.954, |
| "step": 165 |
| }, |
| { |
| "epoch": 0.2713487629688747, |
| "grad_norm": 0.5050713419914246, |
| "learning_rate": 0.000166, |
| "loss": 1.0796, |
| "step": 170 |
| }, |
| { |
| "epoch": 0.2713487629688747, |
| "eval_loss": 1.0314409732818604, |
| "eval_runtime": 21.4116, |
| "eval_samples_per_second": 1.448, |
| "eval_steps_per_second": 0.747, |
| "step": 170 |
| }, |
| { |
| "epoch": 0.27932960893854747, |
| "grad_norm": 0.48484355211257935, |
| "learning_rate": 0.000165, |
| "loss": 0.9461, |
| "step": 175 |
| }, |
| { |
| "epoch": 0.28731045490822027, |
| "grad_norm": 0.6661683320999146, |
| "learning_rate": 0.000164, |
| "loss": 1.0311, |
| "step": 180 |
| }, |
| { |
| "epoch": 0.28731045490822027, |
| "eval_loss": 1.0315138101577759, |
| "eval_runtime": 21.2472, |
| "eval_samples_per_second": 1.459, |
| "eval_steps_per_second": 0.753, |
| "step": 180 |
| }, |
| { |
| "epoch": 0.29529130087789307, |
| "grad_norm": 0.6185592412948608, |
| "learning_rate": 0.000163, |
| "loss": 0.9745, |
| "step": 185 |
| }, |
| { |
| "epoch": 0.3032721468475658, |
| "grad_norm": 0.5738425850868225, |
| "learning_rate": 0.000162, |
| "loss": 0.9619, |
| "step": 190 |
| }, |
| { |
| "epoch": 0.3032721468475658, |
| "eval_loss": 1.0191501379013062, |
| "eval_runtime": 21.0898, |
| "eval_samples_per_second": 1.47, |
| "eval_steps_per_second": 0.759, |
| "step": 190 |
| }, |
| { |
| "epoch": 0.3112529928172386, |
| "grad_norm": 0.6744123101234436, |
| "learning_rate": 0.000161, |
| "loss": 1.0097, |
| "step": 195 |
| }, |
| { |
| "epoch": 0.3192338387869114, |
| "grad_norm": 0.7204273343086243, |
| "learning_rate": 0.00016, |
| "loss": 0.9916, |
| "step": 200 |
| }, |
| { |
| "epoch": 0.3192338387869114, |
| "eval_loss": 1.0153534412384033, |
| "eval_runtime": 21.3333, |
| "eval_samples_per_second": 1.453, |
| "eval_steps_per_second": 0.75, |
| "step": 200 |
| }, |
| { |
| "epoch": 0.3272146847565842, |
| "grad_norm": 0.6031942367553711, |
| "learning_rate": 0.00015900000000000002, |
| "loss": 0.9673, |
| "step": 205 |
| }, |
| { |
| "epoch": 0.33519553072625696, |
| "grad_norm": 0.5967186689376831, |
| "learning_rate": 0.00015800000000000002, |
| "loss": 0.9655, |
| "step": 210 |
| }, |
| { |
| "epoch": 0.33519553072625696, |
| "eval_loss": 1.0138649940490723, |
| "eval_runtime": 21.1862, |
| "eval_samples_per_second": 1.463, |
| "eval_steps_per_second": 0.755, |
| "step": 210 |
| }, |
| { |
| "epoch": 0.34317637669592976, |
| "grad_norm": 0.6408796906471252, |
| "learning_rate": 0.00015700000000000002, |
| "loss": 0.9453, |
| "step": 215 |
| }, |
| { |
| "epoch": 0.35115722266560256, |
| "grad_norm": 0.6557004451751709, |
| "learning_rate": 0.00015600000000000002, |
| "loss": 0.9536, |
| "step": 220 |
| }, |
| { |
| "epoch": 0.35115722266560256, |
| "eval_loss": 1.0107518434524536, |
| "eval_runtime": 21.3902, |
| "eval_samples_per_second": 1.449, |
| "eval_steps_per_second": 0.748, |
| "step": 220 |
| }, |
| { |
| "epoch": 0.35913806863527536, |
| "grad_norm": 0.6112158894538879, |
| "learning_rate": 0.000155, |
| "loss": 0.9645, |
| "step": 225 |
| }, |
| { |
| "epoch": 0.3671189146049481, |
| "grad_norm": 0.6465075016021729, |
| "learning_rate": 0.000154, |
| "loss": 1.0773, |
| "step": 230 |
| }, |
| { |
| "epoch": 0.3671189146049481, |
| "eval_loss": 1.004480242729187, |
| "eval_runtime": 21.1771, |
| "eval_samples_per_second": 1.464, |
| "eval_steps_per_second": 0.756, |
| "step": 230 |
| }, |
| { |
| "epoch": 0.3750997605746209, |
| "grad_norm": 0.7187998294830322, |
| "learning_rate": 0.000153, |
| "loss": 0.9467, |
| "step": 235 |
| }, |
| { |
| "epoch": 0.3830806065442937, |
| "grad_norm": 0.8026754260063171, |
| "learning_rate": 0.000152, |
| "loss": 0.9329, |
| "step": 240 |
| }, |
| { |
| "epoch": 0.3830806065442937, |
| "eval_loss": 0.9965100288391113, |
| "eval_runtime": 21.1786, |
| "eval_samples_per_second": 1.464, |
| "eval_steps_per_second": 0.755, |
| "step": 240 |
| }, |
| { |
| "epoch": 0.39106145251396646, |
| "grad_norm": 0.6788911819458008, |
| "learning_rate": 0.000151, |
| "loss": 0.8683, |
| "step": 245 |
| }, |
| { |
| "epoch": 0.39904229848363926, |
| "grad_norm": 0.6607213020324707, |
| "learning_rate": 0.00015000000000000001, |
| "loss": 0.9826, |
| "step": 250 |
| }, |
| { |
| "epoch": 0.39904229848363926, |
| "eval_loss": 1.0054864883422852, |
| "eval_runtime": 21.1094, |
| "eval_samples_per_second": 1.469, |
| "eval_steps_per_second": 0.758, |
| "step": 250 |
| }, |
| { |
| "epoch": 0.40702314445331206, |
| "grad_norm": 0.6742439866065979, |
| "learning_rate": 0.00014900000000000002, |
| "loss": 0.9507, |
| "step": 255 |
| }, |
| { |
| "epoch": 0.41500399042298486, |
| "grad_norm": 0.7669168710708618, |
| "learning_rate": 0.000148, |
| "loss": 0.9609, |
| "step": 260 |
| }, |
| { |
| "epoch": 0.41500399042298486, |
| "eval_loss": 1.0046597719192505, |
| "eval_runtime": 21.2545, |
| "eval_samples_per_second": 1.459, |
| "eval_steps_per_second": 0.753, |
| "step": 260 |
| }, |
| { |
| "epoch": 0.4229848363926576, |
| "grad_norm": 0.6186738014221191, |
| "learning_rate": 0.000147, |
| "loss": 0.9875, |
| "step": 265 |
| }, |
| { |
| "epoch": 0.4309656823623304, |
| "grad_norm": 0.633393406867981, |
| "learning_rate": 0.000146, |
| "loss": 0.9949, |
| "step": 270 |
| }, |
| { |
| "epoch": 0.4309656823623304, |
| "eval_loss": 0.9924024343490601, |
| "eval_runtime": 20.9746, |
| "eval_samples_per_second": 1.478, |
| "eval_steps_per_second": 0.763, |
| "step": 270 |
| }, |
| { |
| "epoch": 0.4389465283320032, |
| "grad_norm": 0.5856119394302368, |
| "learning_rate": 0.000145, |
| "loss": 0.9611, |
| "step": 275 |
| }, |
| { |
| "epoch": 0.44692737430167595, |
| "grad_norm": 0.5712947249412537, |
| "learning_rate": 0.000144, |
| "loss": 1.0001, |
| "step": 280 |
| }, |
| { |
| "epoch": 0.44692737430167595, |
| "eval_loss": 0.9949964284896851, |
| "eval_runtime": 21.5928, |
| "eval_samples_per_second": 1.436, |
| "eval_steps_per_second": 0.741, |
| "step": 280 |
| }, |
| { |
| "epoch": 0.45490822027134875, |
| "grad_norm": 0.6601425409317017, |
| "learning_rate": 0.000143, |
| "loss": 0.9198, |
| "step": 285 |
| }, |
| { |
| "epoch": 0.46288906624102155, |
| "grad_norm": 0.6215651631355286, |
| "learning_rate": 0.000142, |
| "loss": 1.0944, |
| "step": 290 |
| }, |
| { |
| "epoch": 0.46288906624102155, |
| "eval_loss": 0.9959576725959778, |
| "eval_runtime": 21.3626, |
| "eval_samples_per_second": 1.451, |
| "eval_steps_per_second": 0.749, |
| "step": 290 |
| }, |
| { |
| "epoch": 0.47086991221069435, |
| "grad_norm": 0.6404448747634888, |
| "learning_rate": 0.000141, |
| "loss": 0.9556, |
| "step": 295 |
| }, |
| { |
| "epoch": 0.4788507581803671, |
| "grad_norm": 0.6889925003051758, |
| "learning_rate": 0.00014, |
| "loss": 1.011, |
| "step": 300 |
| }, |
| { |
| "epoch": 0.4788507581803671, |
| "eval_loss": 0.9947748780250549, |
| "eval_runtime": 21.4252, |
| "eval_samples_per_second": 1.447, |
| "eval_steps_per_second": 0.747, |
| "step": 300 |
| }, |
| { |
| "epoch": 0.4868316041500399, |
| "grad_norm": 0.6349315047264099, |
| "learning_rate": 0.000139, |
| "loss": 0.9343, |
| "step": 305 |
| }, |
| { |
| "epoch": 0.4948124501197127, |
| "grad_norm": 0.753274142742157, |
| "learning_rate": 0.000138, |
| "loss": 0.9356, |
| "step": 310 |
| }, |
| { |
| "epoch": 0.4948124501197127, |
| "eval_loss": 0.9897598624229431, |
| "eval_runtime": 21.7041, |
| "eval_samples_per_second": 1.428, |
| "eval_steps_per_second": 0.737, |
| "step": 310 |
| }, |
| { |
| "epoch": 0.5027932960893855, |
| "grad_norm": 0.6351450085639954, |
| "learning_rate": 0.00013700000000000002, |
| "loss": 0.9691, |
| "step": 315 |
| }, |
| { |
| "epoch": 0.5107741420590582, |
| "grad_norm": 0.6660261154174805, |
| "learning_rate": 0.00013600000000000003, |
| "loss": 0.9213, |
| "step": 320 |
| }, |
| { |
| "epoch": 0.5107741420590582, |
| "eval_loss": 0.9789547920227051, |
| "eval_runtime": 20.997, |
| "eval_samples_per_second": 1.476, |
| "eval_steps_per_second": 0.762, |
| "step": 320 |
| }, |
| { |
| "epoch": 0.518754988028731, |
| "grad_norm": 0.7038460969924927, |
| "learning_rate": 0.00013500000000000003, |
| "loss": 0.8654, |
| "step": 325 |
| }, |
| { |
| "epoch": 0.5267358339984038, |
| "grad_norm": 0.6426422595977783, |
| "learning_rate": 0.000134, |
| "loss": 0.8611, |
| "step": 330 |
| }, |
| { |
| "epoch": 0.5267358339984038, |
| "eval_loss": 0.9792807698249817, |
| "eval_runtime": 20.7975, |
| "eval_samples_per_second": 1.491, |
| "eval_steps_per_second": 0.769, |
| "step": 330 |
| }, |
| { |
| "epoch": 0.5347166799680766, |
| "grad_norm": 0.5722155570983887, |
| "learning_rate": 0.000133, |
| "loss": 0.961, |
| "step": 335 |
| }, |
| { |
| "epoch": 0.5426975259377494, |
| "grad_norm": 0.7792693376541138, |
| "learning_rate": 0.000132, |
| "loss": 0.9647, |
| "step": 340 |
| }, |
| { |
| "epoch": 0.5426975259377494, |
| "eval_loss": 0.9812614321708679, |
| "eval_runtime": 21.6024, |
| "eval_samples_per_second": 1.435, |
| "eval_steps_per_second": 0.741, |
| "step": 340 |
| }, |
| { |
| "epoch": 0.5506783719074222, |
| "grad_norm": 0.7510095834732056, |
| "learning_rate": 0.000131, |
| "loss": 0.817, |
| "step": 345 |
| }, |
| { |
| "epoch": 0.5586592178770949, |
| "grad_norm": 0.6685438752174377, |
| "learning_rate": 0.00013000000000000002, |
| "loss": 0.8392, |
| "step": 350 |
| }, |
| { |
| "epoch": 0.5586592178770949, |
| "eval_loss": 0.9788187742233276, |
| "eval_runtime": 21.2885, |
| "eval_samples_per_second": 1.456, |
| "eval_steps_per_second": 0.752, |
| "step": 350 |
| }, |
| { |
| "epoch": 0.5666400638467678, |
| "grad_norm": 0.6660378575325012, |
| "learning_rate": 0.00012900000000000002, |
| "loss": 0.9494, |
| "step": 355 |
| }, |
| { |
| "epoch": 0.5746209098164405, |
| "grad_norm": 0.6914508938789368, |
| "learning_rate": 0.00012800000000000002, |
| "loss": 1.0105, |
| "step": 360 |
| }, |
| { |
| "epoch": 0.5746209098164405, |
| "eval_loss": 0.9770519733428955, |
| "eval_runtime": 21.0568, |
| "eval_samples_per_second": 1.472, |
| "eval_steps_per_second": 0.76, |
| "step": 360 |
| }, |
| { |
| "epoch": 0.5826017557861133, |
| "grad_norm": 0.665715217590332, |
| "learning_rate": 0.000127, |
| "loss": 0.9159, |
| "step": 365 |
| }, |
| { |
| "epoch": 0.5905826017557861, |
| "grad_norm": 0.686400830745697, |
| "learning_rate": 0.000126, |
| "loss": 1.0525, |
| "step": 370 |
| }, |
| { |
| "epoch": 0.5905826017557861, |
| "eval_loss": 0.9769095778465271, |
| "eval_runtime": 20.9592, |
| "eval_samples_per_second": 1.479, |
| "eval_steps_per_second": 0.763, |
| "step": 370 |
| }, |
| { |
| "epoch": 0.5985634477254589, |
| "grad_norm": 0.6291290521621704, |
| "learning_rate": 0.000125, |
| "loss": 0.801, |
| "step": 375 |
| }, |
| { |
| "epoch": 0.6065442936951316, |
| "grad_norm": 0.7124271988868713, |
| "learning_rate": 0.000124, |
| "loss": 0.8913, |
| "step": 380 |
| }, |
| { |
| "epoch": 0.6065442936951316, |
| "eval_loss": 0.9799799919128418, |
| "eval_runtime": 21.397, |
| "eval_samples_per_second": 1.449, |
| "eval_steps_per_second": 0.748, |
| "step": 380 |
| }, |
| { |
| "epoch": 0.6145251396648045, |
| "grad_norm": 0.8505049347877502, |
| "learning_rate": 0.000123, |
| "loss": 0.9319, |
| "step": 385 |
| }, |
| { |
| "epoch": 0.6225059856344772, |
| "grad_norm": 0.7308720350265503, |
| "learning_rate": 0.000122, |
| "loss": 0.8906, |
| "step": 390 |
| }, |
| { |
| "epoch": 0.6225059856344772, |
| "eval_loss": 0.9712496995925903, |
| "eval_runtime": 21.2172, |
| "eval_samples_per_second": 1.461, |
| "eval_steps_per_second": 0.754, |
| "step": 390 |
| }, |
| { |
| "epoch": 0.6304868316041501, |
| "grad_norm": 0.6782912611961365, |
| "learning_rate": 0.000121, |
| "loss": 0.8928, |
| "step": 395 |
| }, |
| { |
| "epoch": 0.6384676775738228, |
| "grad_norm": 0.5951765179634094, |
| "learning_rate": 0.00012, |
| "loss": 0.9059, |
| "step": 400 |
| }, |
| { |
| "epoch": 0.6384676775738228, |
| "eval_loss": 0.9641667008399963, |
| "eval_runtime": 20.89, |
| "eval_samples_per_second": 1.484, |
| "eval_steps_per_second": 0.766, |
| "step": 400 |
| }, |
| { |
| "epoch": 0.6464485235434956, |
| "grad_norm": 0.7105025053024292, |
| "learning_rate": 0.000119, |
| "loss": 0.8986, |
| "step": 405 |
| }, |
| { |
| "epoch": 0.6544293695131684, |
| "grad_norm": 0.835155725479126, |
| "learning_rate": 0.000118, |
| "loss": 0.9309, |
| "step": 410 |
| }, |
| { |
| "epoch": 0.6544293695131684, |
| "eval_loss": 0.9708338975906372, |
| "eval_runtime": 21.5141, |
| "eval_samples_per_second": 1.441, |
| "eval_steps_per_second": 0.744, |
| "step": 410 |
| }, |
| { |
| "epoch": 0.6624102154828412, |
| "grad_norm": 0.7432790994644165, |
| "learning_rate": 0.000117, |
| "loss": 0.9653, |
| "step": 415 |
| }, |
| { |
| "epoch": 0.6703910614525139, |
| "grad_norm": 0.590387761592865, |
| "learning_rate": 0.000116, |
| "loss": 0.8429, |
| "step": 420 |
| }, |
| { |
| "epoch": 0.6703910614525139, |
| "eval_loss": 0.9680631160736084, |
| "eval_runtime": 21.0468, |
| "eval_samples_per_second": 1.473, |
| "eval_steps_per_second": 0.76, |
| "step": 420 |
| }, |
| { |
| "epoch": 0.6783719074221868, |
| "grad_norm": 0.6864650249481201, |
| "learning_rate": 0.00011499999999999999, |
| "loss": 0.9585, |
| "step": 425 |
| }, |
| { |
| "epoch": 0.6863527533918595, |
| "grad_norm": 0.6845282912254333, |
| "learning_rate": 0.00011399999999999999, |
| "loss": 0.9032, |
| "step": 430 |
| }, |
| { |
| "epoch": 0.6863527533918595, |
| "eval_loss": 0.96528559923172, |
| "eval_runtime": 21.6521, |
| "eval_samples_per_second": 1.432, |
| "eval_steps_per_second": 0.739, |
| "step": 430 |
| }, |
| { |
| "epoch": 0.6943335993615323, |
| "grad_norm": 0.717858612537384, |
| "learning_rate": 0.000113, |
| "loss": 0.9401, |
| "step": 435 |
| }, |
| { |
| "epoch": 0.7023144453312051, |
| "grad_norm": 0.6566243171691895, |
| "learning_rate": 0.00011200000000000001, |
| "loss": 0.85, |
| "step": 440 |
| }, |
| { |
| "epoch": 0.7023144453312051, |
| "eval_loss": 0.9651073217391968, |
| "eval_runtime": 21.2202, |
| "eval_samples_per_second": 1.461, |
| "eval_steps_per_second": 0.754, |
| "step": 440 |
| }, |
| { |
| "epoch": 0.7102952913008779, |
| "grad_norm": 0.6869224905967712, |
| "learning_rate": 0.00011100000000000001, |
| "loss": 0.8701, |
| "step": 445 |
| }, |
| { |
| "epoch": 0.7182761372705507, |
| "grad_norm": 0.5897542834281921, |
| "learning_rate": 0.00011000000000000002, |
| "loss": 0.9531, |
| "step": 450 |
| }, |
| { |
| "epoch": 0.7182761372705507, |
| "eval_loss": 0.9623759984970093, |
| "eval_runtime": 21.1274, |
| "eval_samples_per_second": 1.467, |
| "eval_steps_per_second": 0.757, |
| "step": 450 |
| }, |
| { |
| "epoch": 0.7262569832402235, |
| "grad_norm": 0.7018331289291382, |
| "learning_rate": 0.000109, |
| "loss": 0.8888, |
| "step": 455 |
| }, |
| { |
| "epoch": 0.7342378292098962, |
| "grad_norm": 0.6487181186676025, |
| "learning_rate": 0.00010800000000000001, |
| "loss": 0.8862, |
| "step": 460 |
| }, |
| { |
| "epoch": 0.7342378292098962, |
| "eval_loss": 0.9587427973747253, |
| "eval_runtime": 21.6398, |
| "eval_samples_per_second": 1.433, |
| "eval_steps_per_second": 0.739, |
| "step": 460 |
| }, |
| { |
| "epoch": 0.7422186751795691, |
| "grad_norm": 0.8121400475502014, |
| "learning_rate": 0.00010700000000000001, |
| "loss": 0.8856, |
| "step": 465 |
| }, |
| { |
| "epoch": 0.7501995211492418, |
| "grad_norm": 0.6554559469223022, |
| "learning_rate": 0.00010600000000000002, |
| "loss": 0.8736, |
| "step": 470 |
| }, |
| { |
| "epoch": 0.7501995211492418, |
| "eval_loss": 0.9547150731086731, |
| "eval_runtime": 21.1236, |
| "eval_samples_per_second": 1.468, |
| "eval_steps_per_second": 0.757, |
| "step": 470 |
| }, |
| { |
| "epoch": 0.7581803671189146, |
| "grad_norm": 0.7241584062576294, |
| "learning_rate": 0.000105, |
| "loss": 0.8002, |
| "step": 475 |
| }, |
| { |
| "epoch": 0.7661612130885874, |
| "grad_norm": 0.7639961242675781, |
| "learning_rate": 0.00010400000000000001, |
| "loss": 0.93, |
| "step": 480 |
| }, |
| { |
| "epoch": 0.7661612130885874, |
| "eval_loss": 0.9609348773956299, |
| "eval_runtime": 21.2046, |
| "eval_samples_per_second": 1.462, |
| "eval_steps_per_second": 0.755, |
| "step": 480 |
| }, |
| { |
| "epoch": 0.7741420590582602, |
| "grad_norm": 0.6694309115409851, |
| "learning_rate": 0.00010300000000000001, |
| "loss": 0.8696, |
| "step": 485 |
| }, |
| { |
| "epoch": 0.7821229050279329, |
| "grad_norm": 0.6586005687713623, |
| "learning_rate": 0.00010200000000000001, |
| "loss": 0.9035, |
| "step": 490 |
| }, |
| { |
| "epoch": 0.7821229050279329, |
| "eval_loss": 0.9565220475196838, |
| "eval_runtime": 21.5471, |
| "eval_samples_per_second": 1.439, |
| "eval_steps_per_second": 0.743, |
| "step": 490 |
| }, |
| { |
| "epoch": 0.7901037509976058, |
| "grad_norm": 0.6772391200065613, |
| "learning_rate": 0.000101, |
| "loss": 0.9016, |
| "step": 495 |
| }, |
| { |
| "epoch": 0.7980845969672785, |
| "grad_norm": 0.7700143456459045, |
| "learning_rate": 0.0001, |
| "loss": 0.8871, |
| "step": 500 |
| }, |
| { |
| "epoch": 0.7980845969672785, |
| "eval_loss": 0.9532312750816345, |
| "eval_runtime": 21.3527, |
| "eval_samples_per_second": 1.452, |
| "eval_steps_per_second": 0.749, |
| "step": 500 |
| }, |
| { |
| "epoch": 0.8060654429369514, |
| "grad_norm": 0.7088077068328857, |
| "learning_rate": 9.900000000000001e-05, |
| "loss": 0.9628, |
| "step": 505 |
| }, |
| { |
| "epoch": 0.8140462889066241, |
| "grad_norm": 0.7058229446411133, |
| "learning_rate": 9.8e-05, |
| "loss": 0.8395, |
| "step": 510 |
| }, |
| { |
| "epoch": 0.8140462889066241, |
| "eval_loss": 0.9453433752059937, |
| "eval_runtime": 20.6711, |
| "eval_samples_per_second": 1.5, |
| "eval_steps_per_second": 0.774, |
| "step": 510 |
| }, |
| { |
| "epoch": 0.8220271348762969, |
| "grad_norm": 0.6609935164451599, |
| "learning_rate": 9.7e-05, |
| "loss": 0.8693, |
| "step": 515 |
| }, |
| { |
| "epoch": 0.8300079808459697, |
| "grad_norm": 0.8539516925811768, |
| "learning_rate": 9.6e-05, |
| "loss": 0.8661, |
| "step": 520 |
| }, |
| { |
| "epoch": 0.8300079808459697, |
| "eval_loss": 0.9413149356842041, |
| "eval_runtime": 21.4056, |
| "eval_samples_per_second": 1.448, |
| "eval_steps_per_second": 0.747, |
| "step": 520 |
| }, |
| { |
| "epoch": 0.8379888268156425, |
| "grad_norm": 0.6991361975669861, |
| "learning_rate": 9.5e-05, |
| "loss": 1.0091, |
| "step": 525 |
| }, |
| { |
| "epoch": 0.8459696727853152, |
| "grad_norm": 0.6568119525909424, |
| "learning_rate": 9.4e-05, |
| "loss": 0.8034, |
| "step": 530 |
| }, |
| { |
| "epoch": 0.8459696727853152, |
| "eval_loss": 0.942388117313385, |
| "eval_runtime": 21.1726, |
| "eval_samples_per_second": 1.464, |
| "eval_steps_per_second": 0.756, |
| "step": 530 |
| }, |
| { |
| "epoch": 0.8539505187549881, |
| "grad_norm": 0.6941240429878235, |
| "learning_rate": 9.300000000000001e-05, |
| "loss": 0.8947, |
| "step": 535 |
| }, |
| { |
| "epoch": 0.8619313647246608, |
| "grad_norm": 0.717548131942749, |
| "learning_rate": 9.200000000000001e-05, |
| "loss": 0.9049, |
| "step": 540 |
| }, |
| { |
| "epoch": 0.8619313647246608, |
| "eval_loss": 0.9332796335220337, |
| "eval_runtime": 21.1935, |
| "eval_samples_per_second": 1.463, |
| "eval_steps_per_second": 0.755, |
| "step": 540 |
| }, |
| { |
| "epoch": 0.8699122106943336, |
| "grad_norm": 0.6851376295089722, |
| "learning_rate": 9.1e-05, |
| "loss": 0.9446, |
| "step": 545 |
| }, |
| { |
| "epoch": 0.8778930566640064, |
| "grad_norm": 0.7654580473899841, |
| "learning_rate": 9e-05, |
| "loss": 0.8878, |
| "step": 550 |
| }, |
| { |
| "epoch": 0.8778930566640064, |
| "eval_loss": 0.9288386106491089, |
| "eval_runtime": 21.0235, |
| "eval_samples_per_second": 1.475, |
| "eval_steps_per_second": 0.761, |
| "step": 550 |
| }, |
| { |
| "epoch": 0.8858739026336792, |
| "grad_norm": 0.6864151954650879, |
| "learning_rate": 8.900000000000001e-05, |
| "loss": 0.8758, |
| "step": 555 |
| }, |
| { |
| "epoch": 0.8938547486033519, |
| "grad_norm": 0.6886463761329651, |
| "learning_rate": 8.800000000000001e-05, |
| "loss": 0.895, |
| "step": 560 |
| }, |
| { |
| "epoch": 0.8938547486033519, |
| "eval_loss": 0.9302241802215576, |
| "eval_runtime": 21.0245, |
| "eval_samples_per_second": 1.474, |
| "eval_steps_per_second": 0.761, |
| "step": 560 |
| }, |
| { |
| "epoch": 0.9018355945730248, |
| "grad_norm": 0.7045288681983948, |
| "learning_rate": 8.7e-05, |
| "loss": 0.7896, |
| "step": 565 |
| }, |
| { |
| "epoch": 0.9098164405426975, |
| "grad_norm": 0.8066936135292053, |
| "learning_rate": 8.6e-05, |
| "loss": 0.9071, |
| "step": 570 |
| }, |
| { |
| "epoch": 0.9098164405426975, |
| "eval_loss": 0.9250284433364868, |
| "eval_runtime": 21.0108, |
| "eval_samples_per_second": 1.475, |
| "eval_steps_per_second": 0.762, |
| "step": 570 |
| }, |
| { |
| "epoch": 0.9177972865123704, |
| "grad_norm": 0.6377101540565491, |
| "learning_rate": 8.5e-05, |
| "loss": 0.8045, |
| "step": 575 |
| }, |
| { |
| "epoch": 0.9257781324820431, |
| "grad_norm": 0.7454017996788025, |
| "learning_rate": 8.4e-05, |
| "loss": 0.9337, |
| "step": 580 |
| }, |
| { |
| "epoch": 0.9257781324820431, |
| "eval_loss": 0.9239058494567871, |
| "eval_runtime": 20.9525, |
| "eval_samples_per_second": 1.48, |
| "eval_steps_per_second": 0.764, |
| "step": 580 |
| }, |
| { |
| "epoch": 0.9337589784517158, |
| "grad_norm": 0.6952985525131226, |
| "learning_rate": 8.3e-05, |
| "loss": 0.8703, |
| "step": 585 |
| }, |
| { |
| "epoch": 0.9417398244213887, |
| "grad_norm": 0.7358236312866211, |
| "learning_rate": 8.2e-05, |
| "loss": 0.8793, |
| "step": 590 |
| }, |
| { |
| "epoch": 0.9417398244213887, |
| "eval_loss": 0.9293895363807678, |
| "eval_runtime": 20.9523, |
| "eval_samples_per_second": 1.48, |
| "eval_steps_per_second": 0.764, |
| "step": 590 |
| }, |
| { |
| "epoch": 0.9497206703910615, |
| "grad_norm": 0.5817161202430725, |
| "learning_rate": 8.1e-05, |
| "loss": 0.8298, |
| "step": 595 |
| }, |
| { |
| "epoch": 0.9577015163607342, |
| "grad_norm": 0.7251338362693787, |
| "learning_rate": 8e-05, |
| "loss": 0.8766, |
| "step": 600 |
| }, |
| { |
| "epoch": 0.9577015163607342, |
| "eval_loss": 0.9293678998947144, |
| "eval_runtime": 20.9457, |
| "eval_samples_per_second": 1.48, |
| "eval_steps_per_second": 0.764, |
| "step": 600 |
| }, |
| { |
| "epoch": 0.965682362330407, |
| "grad_norm": 0.8278694748878479, |
| "learning_rate": 7.900000000000001e-05, |
| "loss": 0.7507, |
| "step": 605 |
| }, |
| { |
| "epoch": 0.9736632083000798, |
| "grad_norm": 0.7793962955474854, |
| "learning_rate": 7.800000000000001e-05, |
| "loss": 0.8682, |
| "step": 610 |
| }, |
| { |
| "epoch": 0.9736632083000798, |
| "eval_loss": 0.9281108975410461, |
| "eval_runtime": 21.2355, |
| "eval_samples_per_second": 1.46, |
| "eval_steps_per_second": 0.753, |
| "step": 610 |
| }, |
| { |
| "epoch": 0.9816440542697525, |
| "grad_norm": 0.8250753283500671, |
| "learning_rate": 7.7e-05, |
| "loss": 0.8196, |
| "step": 615 |
| }, |
| { |
| "epoch": 0.9896249002394254, |
| "grad_norm": 0.7124294638633728, |
| "learning_rate": 7.6e-05, |
| "loss": 0.7849, |
| "step": 620 |
| }, |
| { |
| "epoch": 0.9896249002394254, |
| "eval_loss": 0.9263650178909302, |
| "eval_runtime": 21.1863, |
| "eval_samples_per_second": 1.463, |
| "eval_steps_per_second": 0.755, |
| "step": 620 |
| }, |
| { |
| "epoch": 0.9976057462090981, |
| "grad_norm": 0.768418550491333, |
| "learning_rate": 7.500000000000001e-05, |
| "loss": 0.8589, |
| "step": 625 |
| }, |
| { |
| "epoch": 1.005586592178771, |
| "grad_norm": 0.6237154603004456, |
| "learning_rate": 7.4e-05, |
| "loss": 0.8746, |
| "step": 630 |
| }, |
| { |
| "epoch": 1.005586592178771, |
| "eval_loss": 0.9216476082801819, |
| "eval_runtime": 21.1504, |
| "eval_samples_per_second": 1.466, |
| "eval_steps_per_second": 0.756, |
| "step": 630 |
| }, |
| { |
| "epoch": 1.0135674381484436, |
| "grad_norm": 0.691764235496521, |
| "learning_rate": 7.3e-05, |
| "loss": 0.8455, |
| "step": 635 |
| }, |
| { |
| "epoch": 1.0215482841181165, |
| "grad_norm": 0.6523061990737915, |
| "learning_rate": 7.2e-05, |
| "loss": 0.8149, |
| "step": 640 |
| }, |
| { |
| "epoch": 1.0215482841181165, |
| "eval_loss": 0.9180006384849548, |
| "eval_runtime": 21.3153, |
| "eval_samples_per_second": 1.454, |
| "eval_steps_per_second": 0.751, |
| "step": 640 |
| }, |
| { |
| "epoch": 1.0295291300877893, |
| "grad_norm": 0.9022932648658752, |
| "learning_rate": 7.1e-05, |
| "loss": 0.8321, |
| "step": 645 |
| }, |
| { |
| "epoch": 1.037509976057462, |
| "grad_norm": 0.6842184066772461, |
| "learning_rate": 7e-05, |
| "loss": 0.806, |
| "step": 650 |
| }, |
| { |
| "epoch": 1.037509976057462, |
| "eval_loss": 0.9218840599060059, |
| "eval_runtime": 21.1263, |
| "eval_samples_per_second": 1.467, |
| "eval_steps_per_second": 0.757, |
| "step": 650 |
| }, |
| { |
| "epoch": 1.0454908220271348, |
| "grad_norm": 0.9547672271728516, |
| "learning_rate": 6.9e-05, |
| "loss": 0.8023, |
| "step": 655 |
| }, |
| { |
| "epoch": 1.0534716679968077, |
| "grad_norm": 0.6439852714538574, |
| "learning_rate": 6.800000000000001e-05, |
| "loss": 0.7533, |
| "step": 660 |
| }, |
| { |
| "epoch": 1.0534716679968077, |
| "eval_loss": 0.9165079593658447, |
| "eval_runtime": 21.1104, |
| "eval_samples_per_second": 1.468, |
| "eval_steps_per_second": 0.758, |
| "step": 660 |
| }, |
| { |
| "epoch": 1.0614525139664805, |
| "grad_norm": 0.7850003242492676, |
| "learning_rate": 6.7e-05, |
| "loss": 0.858, |
| "step": 665 |
| }, |
| { |
| "epoch": 1.0694333599361532, |
| "grad_norm": 0.6285898685455322, |
| "learning_rate": 6.6e-05, |
| "loss": 0.7146, |
| "step": 670 |
| }, |
| { |
| "epoch": 1.0694333599361532, |
| "eval_loss": 0.9204993844032288, |
| "eval_runtime": 21.1527, |
| "eval_samples_per_second": 1.466, |
| "eval_steps_per_second": 0.756, |
| "step": 670 |
| }, |
| { |
| "epoch": 1.077414205905826, |
| "grad_norm": 0.7350932955741882, |
| "learning_rate": 6.500000000000001e-05, |
| "loss": 0.8328, |
| "step": 675 |
| }, |
| { |
| "epoch": 1.085395051875499, |
| "grad_norm": 0.7773166298866272, |
| "learning_rate": 6.400000000000001e-05, |
| "loss": 0.8075, |
| "step": 680 |
| }, |
| { |
| "epoch": 1.085395051875499, |
| "eval_loss": 0.9216338992118835, |
| "eval_runtime": 21.0323, |
| "eval_samples_per_second": 1.474, |
| "eval_steps_per_second": 0.761, |
| "step": 680 |
| }, |
| { |
| "epoch": 1.0933758978451715, |
| "grad_norm": 0.9075634479522705, |
| "learning_rate": 6.3e-05, |
| "loss": 0.8809, |
| "step": 685 |
| }, |
| { |
| "epoch": 1.1013567438148444, |
| "grad_norm": 0.7483291029930115, |
| "learning_rate": 6.2e-05, |
| "loss": 0.8302, |
| "step": 690 |
| }, |
| { |
| "epoch": 1.1013567438148444, |
| "eval_loss": 0.9141597747802734, |
| "eval_runtime": 20.8831, |
| "eval_samples_per_second": 1.484, |
| "eval_steps_per_second": 0.766, |
| "step": 690 |
| }, |
| { |
| "epoch": 1.1093375897845172, |
| "grad_norm": 0.8029285073280334, |
| "learning_rate": 6.1e-05, |
| "loss": 0.7757, |
| "step": 695 |
| }, |
| { |
| "epoch": 1.1173184357541899, |
| "grad_norm": 0.7638797760009766, |
| "learning_rate": 6e-05, |
| "loss": 0.8258, |
| "step": 700 |
| }, |
| { |
| "epoch": 1.1173184357541899, |
| "eval_loss": 0.9134471416473389, |
| "eval_runtime": 21.3635, |
| "eval_samples_per_second": 1.451, |
| "eval_steps_per_second": 0.749, |
| "step": 700 |
| }, |
| { |
| "epoch": 1.1252992817238627, |
| "grad_norm": 0.8713815212249756, |
| "learning_rate": 5.9e-05, |
| "loss": 0.8017, |
| "step": 705 |
| }, |
| { |
| "epoch": 1.1332801276935356, |
| "grad_norm": 0.8253017663955688, |
| "learning_rate": 5.8e-05, |
| "loss": 0.8873, |
| "step": 710 |
| }, |
| { |
| "epoch": 1.1332801276935356, |
| "eval_loss": 0.91542649269104, |
| "eval_runtime": 21.1885, |
| "eval_samples_per_second": 1.463, |
| "eval_steps_per_second": 0.755, |
| "step": 710 |
| }, |
| { |
| "epoch": 1.1412609736632082, |
| "grad_norm": 0.8720806241035461, |
| "learning_rate": 5.6999999999999996e-05, |
| "loss": 0.8808, |
| "step": 715 |
| }, |
| { |
| "epoch": 1.149241819632881, |
| "grad_norm": 0.855076253414154, |
| "learning_rate": 5.6000000000000006e-05, |
| "loss": 0.8285, |
| "step": 720 |
| }, |
| { |
| "epoch": 1.149241819632881, |
| "eval_loss": 0.9051924347877502, |
| "eval_runtime": 21.0529, |
| "eval_samples_per_second": 1.472, |
| "eval_steps_per_second": 0.76, |
| "step": 720 |
| }, |
| { |
| "epoch": 1.157222665602554, |
| "grad_norm": 0.8113986849784851, |
| "learning_rate": 5.500000000000001e-05, |
| "loss": 0.8119, |
| "step": 725 |
| }, |
| { |
| "epoch": 1.1652035115722266, |
| "grad_norm": 0.754554271697998, |
| "learning_rate": 5.4000000000000005e-05, |
| "loss": 0.7881, |
| "step": 730 |
| }, |
| { |
| "epoch": 1.1652035115722266, |
| "eval_loss": 0.9082400798797607, |
| "eval_runtime": 20.8583, |
| "eval_samples_per_second": 1.486, |
| "eval_steps_per_second": 0.767, |
| "step": 730 |
| }, |
| { |
| "epoch": 1.1731843575418994, |
| "grad_norm": 0.9242857694625854, |
| "learning_rate": 5.300000000000001e-05, |
| "loss": 0.7508, |
| "step": 735 |
| }, |
| { |
| "epoch": 1.1811652035115723, |
| "grad_norm": 0.7203059792518616, |
| "learning_rate": 5.2000000000000004e-05, |
| "loss": 0.8788, |
| "step": 740 |
| }, |
| { |
| "epoch": 1.1811652035115723, |
| "eval_loss": 0.9105547666549683, |
| "eval_runtime": 20.8797, |
| "eval_samples_per_second": 1.485, |
| "eval_steps_per_second": 0.766, |
| "step": 740 |
| }, |
| { |
| "epoch": 1.189146049481245, |
| "grad_norm": 0.821240246295929, |
| "learning_rate": 5.1000000000000006e-05, |
| "loss": 0.767, |
| "step": 745 |
| }, |
| { |
| "epoch": 1.1971268954509178, |
| "grad_norm": 1.0884546041488647, |
| "learning_rate": 5e-05, |
| "loss": 0.8585, |
| "step": 750 |
| }, |
| { |
| "epoch": 1.1971268954509178, |
| "eval_loss": 0.9092571139335632, |
| "eval_runtime": 21.2995, |
| "eval_samples_per_second": 1.455, |
| "eval_steps_per_second": 0.751, |
| "step": 750 |
| }, |
| { |
| "epoch": 1.2051077414205906, |
| "grad_norm": 0.7183963656425476, |
| "learning_rate": 4.9e-05, |
| "loss": 0.8462, |
| "step": 755 |
| }, |
| { |
| "epoch": 1.2130885873902635, |
| "grad_norm": 0.7556672692298889, |
| "learning_rate": 4.8e-05, |
| "loss": 0.7203, |
| "step": 760 |
| }, |
| { |
| "epoch": 1.2130885873902635, |
| "eval_loss": 0.9125378727912903, |
| "eval_runtime": 20.9445, |
| "eval_samples_per_second": 1.48, |
| "eval_steps_per_second": 0.764, |
| "step": 760 |
| }, |
| { |
| "epoch": 1.2210694333599361, |
| "grad_norm": 0.8119292259216309, |
| "learning_rate": 4.7e-05, |
| "loss": 0.8294, |
| "step": 765 |
| }, |
| { |
| "epoch": 1.229050279329609, |
| "grad_norm": 0.7207946181297302, |
| "learning_rate": 4.600000000000001e-05, |
| "loss": 0.8084, |
| "step": 770 |
| }, |
| { |
| "epoch": 1.229050279329609, |
| "eval_loss": 0.9099369645118713, |
| "eval_runtime": 20.5873, |
| "eval_samples_per_second": 1.506, |
| "eval_steps_per_second": 0.777, |
| "step": 770 |
| }, |
| { |
| "epoch": 1.2370311252992816, |
| "grad_norm": 0.9262428283691406, |
| "learning_rate": 4.5e-05, |
| "loss": 0.7861, |
| "step": 775 |
| }, |
| { |
| "epoch": 1.2450119712689545, |
| "grad_norm": 0.9154334664344788, |
| "learning_rate": 4.4000000000000006e-05, |
| "loss": 0.7298, |
| "step": 780 |
| }, |
| { |
| "epoch": 1.2450119712689545, |
| "eval_loss": 0.9098423719406128, |
| "eval_runtime": 21.1045, |
| "eval_samples_per_second": 1.469, |
| "eval_steps_per_second": 0.758, |
| "step": 780 |
| }, |
| { |
| "epoch": 1.2529928172386273, |
| "grad_norm": 0.8377973437309265, |
| "learning_rate": 4.3e-05, |
| "loss": 0.7593, |
| "step": 785 |
| }, |
| { |
| "epoch": 1.2609736632083002, |
| "grad_norm": 0.8660017848014832, |
| "learning_rate": 4.2e-05, |
| "loss": 0.7811, |
| "step": 790 |
| }, |
| { |
| "epoch": 1.2609736632083002, |
| "eval_loss": 0.9046799540519714, |
| "eval_runtime": 20.9842, |
| "eval_samples_per_second": 1.477, |
| "eval_steps_per_second": 0.762, |
| "step": 790 |
| }, |
| { |
| "epoch": 1.2689545091779728, |
| "grad_norm": 0.7700662612915039, |
| "learning_rate": 4.1e-05, |
| "loss": 0.8493, |
| "step": 795 |
| }, |
| { |
| "epoch": 1.2769353551476457, |
| "grad_norm": 0.8167340159416199, |
| "learning_rate": 4e-05, |
| "loss": 0.7774, |
| "step": 800 |
| }, |
| { |
| "epoch": 1.2769353551476457, |
| "eval_loss": 0.8998985886573792, |
| "eval_runtime": 21.1467, |
| "eval_samples_per_second": 1.466, |
| "eval_steps_per_second": 0.757, |
| "step": 800 |
| }, |
| { |
| "epoch": 1.2849162011173183, |
| "grad_norm": 0.8162097334861755, |
| "learning_rate": 3.9000000000000006e-05, |
| "loss": 0.7892, |
| "step": 805 |
| }, |
| { |
| "epoch": 1.2928970470869912, |
| "grad_norm": 0.8468261957168579, |
| "learning_rate": 3.8e-05, |
| "loss": 0.8324, |
| "step": 810 |
| }, |
| { |
| "epoch": 1.2928970470869912, |
| "eval_loss": 0.8993770480155945, |
| "eval_runtime": 20.9539, |
| "eval_samples_per_second": 1.479, |
| "eval_steps_per_second": 0.764, |
| "step": 810 |
| }, |
| { |
| "epoch": 1.300877893056664, |
| "grad_norm": 0.746923565864563, |
| "learning_rate": 3.7e-05, |
| "loss": 0.7961, |
| "step": 815 |
| }, |
| { |
| "epoch": 1.3088587390263369, |
| "grad_norm": 0.7284272313117981, |
| "learning_rate": 3.6e-05, |
| "loss": 0.6872, |
| "step": 820 |
| }, |
| { |
| "epoch": 1.3088587390263369, |
| "eval_loss": 0.8972273468971252, |
| "eval_runtime": 20.6969, |
| "eval_samples_per_second": 1.498, |
| "eval_steps_per_second": 0.773, |
| "step": 820 |
| }, |
| { |
| "epoch": 1.3168395849960095, |
| "grad_norm": 0.8922063708305359, |
| "learning_rate": 3.5e-05, |
| "loss": 0.8041, |
| "step": 825 |
| }, |
| { |
| "epoch": 1.3248204309656824, |
| "grad_norm": 0.7598963975906372, |
| "learning_rate": 3.4000000000000007e-05, |
| "loss": 0.7028, |
| "step": 830 |
| }, |
| { |
| "epoch": 1.3248204309656824, |
| "eval_loss": 0.8973636031150818, |
| "eval_runtime": 20.8738, |
| "eval_samples_per_second": 1.485, |
| "eval_steps_per_second": 0.767, |
| "step": 830 |
| }, |
| { |
| "epoch": 1.3328012769353552, |
| "grad_norm": 0.7866420745849609, |
| "learning_rate": 3.3e-05, |
| "loss": 0.8392, |
| "step": 835 |
| }, |
| { |
| "epoch": 1.3407821229050279, |
| "grad_norm": 0.8417834639549255, |
| "learning_rate": 3.2000000000000005e-05, |
| "loss": 0.7329, |
| "step": 840 |
| }, |
| { |
| "epoch": 1.3407821229050279, |
| "eval_loss": 0.9000219106674194, |
| "eval_runtime": 21.0159, |
| "eval_samples_per_second": 1.475, |
| "eval_steps_per_second": 0.761, |
| "step": 840 |
| }, |
| { |
| "epoch": 1.3487629688747007, |
| "grad_norm": 0.8085408806800842, |
| "learning_rate": 3.1e-05, |
| "loss": 0.7452, |
| "step": 845 |
| }, |
| { |
| "epoch": 1.3567438148443736, |
| "grad_norm": 0.9095738530158997, |
| "learning_rate": 3e-05, |
| "loss": 0.8114, |
| "step": 850 |
| }, |
| { |
| "epoch": 1.3567438148443736, |
| "eval_loss": 0.899355411529541, |
| "eval_runtime": 21.1951, |
| "eval_samples_per_second": 1.463, |
| "eval_steps_per_second": 0.755, |
| "step": 850 |
| }, |
| { |
| "epoch": 1.3647246608140464, |
| "grad_norm": 0.8077012896537781, |
| "learning_rate": 2.9e-05, |
| "loss": 0.7842, |
| "step": 855 |
| }, |
| { |
| "epoch": 1.372705506783719, |
| "grad_norm": 0.9387809038162231, |
| "learning_rate": 2.8000000000000003e-05, |
| "loss": 0.7739, |
| "step": 860 |
| }, |
| { |
| "epoch": 1.372705506783719, |
| "eval_loss": 0.9006592631340027, |
| "eval_runtime": 20.7294, |
| "eval_samples_per_second": 1.495, |
| "eval_steps_per_second": 0.772, |
| "step": 860 |
| }, |
| { |
| "epoch": 1.380686352753392, |
| "grad_norm": 0.8230510950088501, |
| "learning_rate": 2.7000000000000002e-05, |
| "loss": 0.7765, |
| "step": 865 |
| }, |
| { |
| "epoch": 1.3886671987230645, |
| "grad_norm": 0.9421499371528625, |
| "learning_rate": 2.6000000000000002e-05, |
| "loss": 0.7469, |
| "step": 870 |
| }, |
| { |
| "epoch": 1.3886671987230645, |
| "eval_loss": 0.8988057374954224, |
| "eval_runtime": 20.7795, |
| "eval_samples_per_second": 1.492, |
| "eval_steps_per_second": 0.77, |
| "step": 870 |
| }, |
| { |
| "epoch": 1.3966480446927374, |
| "grad_norm": 0.8720149993896484, |
| "learning_rate": 2.5e-05, |
| "loss": 0.7674, |
| "step": 875 |
| }, |
| { |
| "epoch": 1.4046288906624103, |
| "grad_norm": 0.9915176033973694, |
| "learning_rate": 2.4e-05, |
| "loss": 0.7925, |
| "step": 880 |
| }, |
| { |
| "epoch": 1.4046288906624103, |
| "eval_loss": 0.8960800170898438, |
| "eval_runtime": 21.1416, |
| "eval_samples_per_second": 1.466, |
| "eval_steps_per_second": 0.757, |
| "step": 880 |
| }, |
| { |
| "epoch": 1.4126097366320831, |
| "grad_norm": 0.8962202072143555, |
| "learning_rate": 2.3000000000000003e-05, |
| "loss": 0.7848, |
| "step": 885 |
| }, |
| { |
| "epoch": 1.4205905826017557, |
| "grad_norm": 0.9091677069664001, |
| "learning_rate": 2.2000000000000003e-05, |
| "loss": 0.8638, |
| "step": 890 |
| }, |
| { |
| "epoch": 1.4205905826017557, |
| "eval_loss": 0.893966555595398, |
| "eval_runtime": 21.0044, |
| "eval_samples_per_second": 1.476, |
| "eval_steps_per_second": 0.762, |
| "step": 890 |
| }, |
| { |
| "epoch": 1.4285714285714286, |
| "grad_norm": 0.7839522361755371, |
| "learning_rate": 2.1e-05, |
| "loss": 0.8426, |
| "step": 895 |
| }, |
| { |
| "epoch": 1.4365522745411012, |
| "grad_norm": 0.8735964894294739, |
| "learning_rate": 2e-05, |
| "loss": 0.852, |
| "step": 900 |
| }, |
| { |
| "epoch": 1.4365522745411012, |
| "eval_loss": 0.8946609497070312, |
| "eval_runtime": 20.7777, |
| "eval_samples_per_second": 1.492, |
| "eval_steps_per_second": 0.77, |
| "step": 900 |
| }, |
| { |
| "epoch": 1.444533120510774, |
| "grad_norm": 0.8208412528038025, |
| "learning_rate": 1.9e-05, |
| "loss": 0.7983, |
| "step": 905 |
| }, |
| { |
| "epoch": 1.452513966480447, |
| "grad_norm": 0.9176042675971985, |
| "learning_rate": 1.8e-05, |
| "loss": 0.8296, |
| "step": 910 |
| }, |
| { |
| "epoch": 1.452513966480447, |
| "eval_loss": 0.8942002654075623, |
| "eval_runtime": 21.0465, |
| "eval_samples_per_second": 1.473, |
| "eval_steps_per_second": 0.76, |
| "step": 910 |
| }, |
| { |
| "epoch": 1.4604948124501198, |
| "grad_norm": 0.7592383027076721, |
| "learning_rate": 1.7000000000000003e-05, |
| "loss": 0.809, |
| "step": 915 |
| }, |
| { |
| "epoch": 1.4684756584197924, |
| "grad_norm": 0.8816229701042175, |
| "learning_rate": 1.6000000000000003e-05, |
| "loss": 0.7502, |
| "step": 920 |
| }, |
| { |
| "epoch": 1.4684756584197924, |
| "eval_loss": 0.8975324034690857, |
| "eval_runtime": 21.1221, |
| "eval_samples_per_second": 1.468, |
| "eval_steps_per_second": 0.758, |
| "step": 920 |
| }, |
| { |
| "epoch": 1.4764565043894653, |
| "grad_norm": 0.8397924900054932, |
| "learning_rate": 1.5e-05, |
| "loss": 0.791, |
| "step": 925 |
| }, |
| { |
| "epoch": 1.484437350359138, |
| "grad_norm": 0.9116021394729614, |
| "learning_rate": 1.4000000000000001e-05, |
| "loss": 0.77, |
| "step": 930 |
| }, |
| { |
| "epoch": 1.484437350359138, |
| "eval_loss": 0.8986864686012268, |
| "eval_runtime": 21.0542, |
| "eval_samples_per_second": 1.472, |
| "eval_steps_per_second": 0.76, |
| "step": 930 |
| }, |
| { |
| "epoch": 1.4924181963288108, |
| "grad_norm": 0.8789558410644531, |
| "learning_rate": 1.3000000000000001e-05, |
| "loss": 0.8362, |
| "step": 935 |
| }, |
| { |
| "epoch": 1.5003990422984836, |
| "grad_norm": 1.1174862384796143, |
| "learning_rate": 1.2e-05, |
| "loss": 0.7821, |
| "step": 940 |
| }, |
| { |
| "epoch": 1.5003990422984836, |
| "eval_loss": 0.8970634341239929, |
| "eval_runtime": 20.7967, |
| "eval_samples_per_second": 1.491, |
| "eval_steps_per_second": 0.769, |
| "step": 940 |
| }, |
| { |
| "epoch": 1.5083798882681565, |
| "grad_norm": 0.8152345418930054, |
| "learning_rate": 1.1000000000000001e-05, |
| "loss": 0.7953, |
| "step": 945 |
| }, |
| { |
| "epoch": 1.5163607342378294, |
| "grad_norm": 0.8047603964805603, |
| "learning_rate": 1e-05, |
| "loss": 0.7759, |
| "step": 950 |
| }, |
| { |
| "epoch": 1.5163607342378294, |
| "eval_loss": 0.8968480229377747, |
| "eval_runtime": 21.2746, |
| "eval_samples_per_second": 1.457, |
| "eval_steps_per_second": 0.752, |
| "step": 950 |
| }, |
| { |
| "epoch": 1.524341580207502, |
| "grad_norm": 0.8262729048728943, |
| "learning_rate": 9e-06, |
| "loss": 0.8128, |
| "step": 955 |
| }, |
| { |
| "epoch": 1.5323224261771746, |
| "grad_norm": 0.8479042649269104, |
| "learning_rate": 8.000000000000001e-06, |
| "loss": 0.7778, |
| "step": 960 |
| }, |
| { |
| "epoch": 1.5323224261771746, |
| "eval_loss": 0.8949146270751953, |
| "eval_runtime": 21.0684, |
| "eval_samples_per_second": 1.471, |
| "eval_steps_per_second": 0.759, |
| "step": 960 |
| }, |
| { |
| "epoch": 1.5403032721468475, |
| "grad_norm": 0.7638890147209167, |
| "learning_rate": 7.000000000000001e-06, |
| "loss": 0.8371, |
| "step": 965 |
| }, |
| { |
| "epoch": 1.5482841181165203, |
| "grad_norm": 1.009861707687378, |
| "learning_rate": 6e-06, |
| "loss": 0.6906, |
| "step": 970 |
| }, |
| { |
| "epoch": 1.5482841181165203, |
| "eval_loss": 0.8940587043762207, |
| "eval_runtime": 21.4138, |
| "eval_samples_per_second": 1.448, |
| "eval_steps_per_second": 0.747, |
| "step": 970 |
| }, |
| { |
| "epoch": 1.5562649640861932, |
| "grad_norm": 0.8926388025283813, |
| "learning_rate": 5e-06, |
| "loss": 0.7935, |
| "step": 975 |
| }, |
| { |
| "epoch": 1.564245810055866, |
| "grad_norm": 0.7741861939430237, |
| "learning_rate": 4.000000000000001e-06, |
| "loss": 0.8137, |
| "step": 980 |
| }, |
| { |
| "epoch": 1.564245810055866, |
| "eval_loss": 0.895005464553833, |
| "eval_runtime": 20.8613, |
| "eval_samples_per_second": 1.486, |
| "eval_steps_per_second": 0.767, |
| "step": 980 |
| }, |
| { |
| "epoch": 1.5722266560255387, |
| "grad_norm": 0.950386106967926, |
| "learning_rate": 3e-06, |
| "loss": 0.6965, |
| "step": 985 |
| }, |
| { |
| "epoch": 1.5802075019952115, |
| "grad_norm": 0.846916675567627, |
| "learning_rate": 2.0000000000000003e-06, |
| "loss": 0.799, |
| "step": 990 |
| }, |
| { |
| "epoch": 1.5802075019952115, |
| "eval_loss": 0.8942360281944275, |
| "eval_runtime": 21.1875, |
| "eval_samples_per_second": 1.463, |
| "eval_steps_per_second": 0.755, |
| "step": 990 |
| }, |
| { |
| "epoch": 1.5881883479648842, |
| "grad_norm": 0.8533262610435486, |
| "learning_rate": 1.0000000000000002e-06, |
| "loss": 0.753, |
| "step": 995 |
| }, |
| { |
| "epoch": 1.596169193934557, |
| "grad_norm": 0.7492548227310181, |
| "learning_rate": 0.0, |
| "loss": 0.7454, |
| "step": 1000 |
| }, |
| { |
| "epoch": 1.596169193934557, |
| "eval_loss": 0.8934003114700317, |
| "eval_runtime": 21.313, |
| "eval_samples_per_second": 1.455, |
| "eval_steps_per_second": 0.751, |
| "step": 1000 |
| } |
| ], |
| "logging_steps": 5, |
| "max_steps": 1000, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 2, |
| "save_steps": 25, |
| "stateful_callbacks": { |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": true |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 5.292030717299424e+16, |
| "train_batch_size": 2, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
