| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 3.0, | |
| "eval_steps": 500, | |
| "global_step": 6315, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.02, | |
| "learning_rate": 1.9841646872525734e-05, | |
| "loss": 0.675, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "learning_rate": 1.9683293745051467e-05, | |
| "loss": 0.5457, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "learning_rate": 1.95249406175772e-05, | |
| "loss": 0.4717, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "learning_rate": 1.936658749010293e-05, | |
| "loss": 0.4451, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "learning_rate": 1.9208234362628665e-05, | |
| "loss": 0.4314, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "learning_rate": 1.9049881235154395e-05, | |
| "loss": 0.4155, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "learning_rate": 1.8891528107680128e-05, | |
| "loss": 0.3894, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "learning_rate": 1.873317498020586e-05, | |
| "loss": 0.3698, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "learning_rate": 1.8574821852731593e-05, | |
| "loss": 0.388, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 1.8416468725257326e-05, | |
| "loss": 0.3646, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_accuracy": 0.8555045871559633, | |
| "eval_loss": 0.3292173445224762, | |
| "eval_runtime": 0.8608, | |
| "eval_samples_per_second": 1013.035, | |
| "eval_steps_per_second": 63.896, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "learning_rate": 1.825811559778306e-05, | |
| "loss": 0.3755, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 1.809976247030879e-05, | |
| "loss": 0.3439, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "learning_rate": 1.794140934283452e-05, | |
| "loss": 0.3718, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "learning_rate": 1.7783056215360253e-05, | |
| "loss": 0.3291, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "learning_rate": 1.762470308788599e-05, | |
| "loss": 0.3411, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "learning_rate": 1.746634996041172e-05, | |
| "loss": 0.3529, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "learning_rate": 1.730799683293745e-05, | |
| "loss": 0.3319, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 0.43, | |
| "learning_rate": 1.7149643705463184e-05, | |
| "loss": 0.3325, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "learning_rate": 1.6991290577988917e-05, | |
| "loss": 0.3205, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "learning_rate": 1.6832937450514647e-05, | |
| "loss": 0.3026, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "eval_accuracy": 0.8658256880733946, | |
| "eval_loss": 0.40314120054244995, | |
| "eval_runtime": 0.8731, | |
| "eval_samples_per_second": 998.783, | |
| "eval_steps_per_second": 62.997, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "learning_rate": 1.6674584323040383e-05, | |
| "loss": 0.3121, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "learning_rate": 1.6516231195566115e-05, | |
| "loss": 0.2783, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.55, | |
| "learning_rate": 1.6357878068091845e-05, | |
| "loss": 0.3171, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "learning_rate": 1.6199524940617578e-05, | |
| "loss": 0.3149, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "learning_rate": 1.604117181314331e-05, | |
| "loss": 0.3218, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "learning_rate": 1.5882818685669043e-05, | |
| "loss": 0.2871, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "learning_rate": 1.5724465558194776e-05, | |
| "loss": 0.2857, | |
| "step": 1350 | |
| }, | |
| { | |
| "epoch": 0.67, | |
| "learning_rate": 1.556611243072051e-05, | |
| "loss": 0.2821, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "learning_rate": 1.540775930324624e-05, | |
| "loss": 0.3327, | |
| "step": 1450 | |
| }, | |
| { | |
| "epoch": 0.71, | |
| "learning_rate": 1.5249406175771972e-05, | |
| "loss": 0.2802, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.71, | |
| "eval_accuracy": 0.8715596330275229, | |
| "eval_loss": 0.38183480501174927, | |
| "eval_runtime": 0.8626, | |
| "eval_samples_per_second": 1010.871, | |
| "eval_steps_per_second": 63.759, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.74, | |
| "learning_rate": 1.5091053048297705e-05, | |
| "loss": 0.3008, | |
| "step": 1550 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "learning_rate": 1.4932699920823436e-05, | |
| "loss": 0.2921, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "learning_rate": 1.477434679334917e-05, | |
| "loss": 0.2877, | |
| "step": 1650 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "learning_rate": 1.4615993665874902e-05, | |
| "loss": 0.3011, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "learning_rate": 1.4457640538400634e-05, | |
| "loss": 0.2872, | |
| "step": 1750 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "learning_rate": 1.4299287410926367e-05, | |
| "loss": 0.275, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "learning_rate": 1.4140934283452098e-05, | |
| "loss": 0.2701, | |
| "step": 1850 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "learning_rate": 1.3982581155977833e-05, | |
| "loss": 0.287, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "learning_rate": 1.3824228028503564e-05, | |
| "loss": 0.2919, | |
| "step": 1950 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "learning_rate": 1.3665874901029297e-05, | |
| "loss": 0.2681, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "eval_accuracy": 0.8692660550458715, | |
| "eval_loss": 0.34796813130378723, | |
| "eval_runtime": 0.8621, | |
| "eval_samples_per_second": 1011.456, | |
| "eval_steps_per_second": 63.796, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "learning_rate": 1.3507521773555028e-05, | |
| "loss": 0.2694, | |
| "step": 2050 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 1.3349168646080762e-05, | |
| "loss": 0.2626, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "learning_rate": 1.3190815518606495e-05, | |
| "loss": 0.2217, | |
| "step": 2150 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "learning_rate": 1.3032462391132226e-05, | |
| "loss": 0.2134, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "learning_rate": 1.2874109263657959e-05, | |
| "loss": 0.2556, | |
| "step": 2250 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "learning_rate": 1.271575613618369e-05, | |
| "loss": 0.2343, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 1.12, | |
| "learning_rate": 1.2557403008709424e-05, | |
| "loss": 0.2163, | |
| "step": 2350 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "learning_rate": 1.2399049881235155e-05, | |
| "loss": 0.2414, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "learning_rate": 1.2240696753760888e-05, | |
| "loss": 0.2519, | |
| "step": 2450 | |
| }, | |
| { | |
| "epoch": 1.19, | |
| "learning_rate": 1.208234362628662e-05, | |
| "loss": 0.2012, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 1.19, | |
| "eval_accuracy": 0.8818807339449541, | |
| "eval_loss": 0.3381371796131134, | |
| "eval_runtime": 0.862, | |
| "eval_samples_per_second": 1011.647, | |
| "eval_steps_per_second": 63.808, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 1.21, | |
| "learning_rate": 1.1923990498812352e-05, | |
| "loss": 0.2171, | |
| "step": 2550 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "learning_rate": 1.1765637371338086e-05, | |
| "loss": 0.214, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "learning_rate": 1.1607284243863817e-05, | |
| "loss": 0.2064, | |
| "step": 2650 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "learning_rate": 1.144893111638955e-05, | |
| "loss": 0.2242, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "learning_rate": 1.1290577988915281e-05, | |
| "loss": 0.2282, | |
| "step": 2750 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "learning_rate": 1.1132224861441014e-05, | |
| "loss": 0.2054, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "learning_rate": 1.0973871733966748e-05, | |
| "loss": 0.2347, | |
| "step": 2850 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "learning_rate": 1.081551860649248e-05, | |
| "loss": 0.2082, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "learning_rate": 1.0657165479018212e-05, | |
| "loss": 0.2054, | |
| "step": 2950 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "learning_rate": 1.0498812351543943e-05, | |
| "loss": 0.2212, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "eval_accuracy": 0.8784403669724771, | |
| "eval_loss": 0.36815786361694336, | |
| "eval_runtime": 1.2283, | |
| "eval_samples_per_second": 709.951, | |
| "eval_steps_per_second": 44.779, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 1.45, | |
| "learning_rate": 1.0340459224069676e-05, | |
| "loss": 0.2348, | |
| "step": 3050 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "learning_rate": 1.0182106096595407e-05, | |
| "loss": 0.2134, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "learning_rate": 1.0023752969121141e-05, | |
| "loss": 0.2077, | |
| "step": 3150 | |
| }, | |
| { | |
| "epoch": 1.52, | |
| "learning_rate": 9.865399841646872e-06, | |
| "loss": 0.1946, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "learning_rate": 9.707046714172605e-06, | |
| "loss": 0.2428, | |
| "step": 3250 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "learning_rate": 9.548693586698338e-06, | |
| "loss": 0.2104, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "learning_rate": 9.39034045922407e-06, | |
| "loss": 0.2208, | |
| "step": 3350 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "learning_rate": 9.231987331749803e-06, | |
| "loss": 0.2089, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 1.64, | |
| "learning_rate": 9.073634204275536e-06, | |
| "loss": 0.2053, | |
| "step": 3450 | |
| }, | |
| { | |
| "epoch": 1.66, | |
| "learning_rate": 8.915281076801267e-06, | |
| "loss": 0.2003, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 1.66, | |
| "eval_accuracy": 0.8899082568807339, | |
| "eval_loss": 0.3312223553657532, | |
| "eval_runtime": 0.8655, | |
| "eval_samples_per_second": 1007.513, | |
| "eval_steps_per_second": 63.547, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "learning_rate": 8.756927949327e-06, | |
| "loss": 0.1892, | |
| "step": 3550 | |
| }, | |
| { | |
| "epoch": 1.71, | |
| "learning_rate": 8.598574821852733e-06, | |
| "loss": 0.2102, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 1.73, | |
| "learning_rate": 8.440221694378464e-06, | |
| "loss": 0.1833, | |
| "step": 3650 | |
| }, | |
| { | |
| "epoch": 1.76, | |
| "learning_rate": 8.281868566904197e-06, | |
| "loss": 0.2035, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 1.78, | |
| "learning_rate": 8.12351543942993e-06, | |
| "loss": 0.216, | |
| "step": 3750 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "learning_rate": 7.965162311955662e-06, | |
| "loss": 0.2239, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "learning_rate": 7.806809184481395e-06, | |
| "loss": 0.1928, | |
| "step": 3850 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "learning_rate": 7.648456057007126e-06, | |
| "loss": 0.2271, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 1.88, | |
| "learning_rate": 7.490102929532859e-06, | |
| "loss": 0.2066, | |
| "step": 3950 | |
| }, | |
| { | |
| "epoch": 1.9, | |
| "learning_rate": 7.331749802058591e-06, | |
| "loss": 0.2157, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 1.9, | |
| "eval_accuracy": 0.8899082568807339, | |
| "eval_loss": 0.319502055644989, | |
| "eval_runtime": 0.8651, | |
| "eval_samples_per_second": 1007.945, | |
| "eval_steps_per_second": 63.575, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 1.92, | |
| "learning_rate": 7.173396674584323e-06, | |
| "loss": 0.1983, | |
| "step": 4050 | |
| }, | |
| { | |
| "epoch": 1.95, | |
| "learning_rate": 7.015043547110056e-06, | |
| "loss": 0.197, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "learning_rate": 6.856690419635789e-06, | |
| "loss": 0.2272, | |
| "step": 4150 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 6.698337292161521e-06, | |
| "loss": 0.2072, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 2.02, | |
| "learning_rate": 6.539984164687253e-06, | |
| "loss": 0.1716, | |
| "step": 4250 | |
| }, | |
| { | |
| "epoch": 2.04, | |
| "learning_rate": 6.3816310372129854e-06, | |
| "loss": 0.1602, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 2.07, | |
| "learning_rate": 6.223277909738717e-06, | |
| "loss": 0.1488, | |
| "step": 4350 | |
| }, | |
| { | |
| "epoch": 2.09, | |
| "learning_rate": 6.06492478226445e-06, | |
| "loss": 0.1559, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 2.11, | |
| "learning_rate": 5.906571654790183e-06, | |
| "loss": 0.178, | |
| "step": 4450 | |
| }, | |
| { | |
| "epoch": 2.14, | |
| "learning_rate": 5.748218527315916e-06, | |
| "loss": 0.1504, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 2.14, | |
| "eval_accuracy": 0.893348623853211, | |
| "eval_loss": 0.37882882356643677, | |
| "eval_runtime": 0.863, | |
| "eval_samples_per_second": 1010.481, | |
| "eval_steps_per_second": 63.734, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 2.16, | |
| "learning_rate": 5.5898653998416475e-06, | |
| "loss": 0.1577, | |
| "step": 4550 | |
| }, | |
| { | |
| "epoch": 2.19, | |
| "learning_rate": 5.431512272367379e-06, | |
| "loss": 0.1601, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 2.21, | |
| "learning_rate": 5.273159144893112e-06, | |
| "loss": 0.1917, | |
| "step": 4650 | |
| }, | |
| { | |
| "epoch": 2.23, | |
| "learning_rate": 5.114806017418844e-06, | |
| "loss": 0.1735, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 2.26, | |
| "learning_rate": 4.956452889944577e-06, | |
| "loss": 0.1818, | |
| "step": 4750 | |
| }, | |
| { | |
| "epoch": 2.28, | |
| "learning_rate": 4.798099762470309e-06, | |
| "loss": 0.1603, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 2.3, | |
| "learning_rate": 4.6397466349960415e-06, | |
| "loss": 0.1651, | |
| "step": 4850 | |
| }, | |
| { | |
| "epoch": 2.33, | |
| "learning_rate": 4.481393507521774e-06, | |
| "loss": 0.1722, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 2.35, | |
| "learning_rate": 4.323040380047506e-06, | |
| "loss": 0.1638, | |
| "step": 4950 | |
| }, | |
| { | |
| "epoch": 2.38, | |
| "learning_rate": 4.164687252573238e-06, | |
| "loss": 0.1408, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 2.38, | |
| "eval_accuracy": 0.8818807339449541, | |
| "eval_loss": 0.44837096333503723, | |
| "eval_runtime": 0.8664, | |
| "eval_samples_per_second": 1006.491, | |
| "eval_steps_per_second": 63.483, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 2.4, | |
| "learning_rate": 4.006334125098972e-06, | |
| "loss": 0.1756, | |
| "step": 5050 | |
| }, | |
| { | |
| "epoch": 2.42, | |
| "learning_rate": 3.8479809976247036e-06, | |
| "loss": 0.171, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 2.45, | |
| "learning_rate": 3.6896278701504355e-06, | |
| "loss": 0.1477, | |
| "step": 5150 | |
| }, | |
| { | |
| "epoch": 2.47, | |
| "learning_rate": 3.531274742676168e-06, | |
| "loss": 0.1352, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 2.49, | |
| "learning_rate": 3.3729216152019006e-06, | |
| "loss": 0.1677, | |
| "step": 5250 | |
| }, | |
| { | |
| "epoch": 2.52, | |
| "learning_rate": 3.214568487727633e-06, | |
| "loss": 0.1431, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 2.54, | |
| "learning_rate": 3.0562153602533652e-06, | |
| "loss": 0.172, | |
| "step": 5350 | |
| }, | |
| { | |
| "epoch": 2.57, | |
| "learning_rate": 2.897862232779098e-06, | |
| "loss": 0.1838, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 2.59, | |
| "learning_rate": 2.73950910530483e-06, | |
| "loss": 0.1593, | |
| "step": 5450 | |
| }, | |
| { | |
| "epoch": 2.61, | |
| "learning_rate": 2.581155977830562e-06, | |
| "loss": 0.1508, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 2.61, | |
| "eval_accuracy": 0.875, | |
| "eval_loss": 0.41936951875686646, | |
| "eval_runtime": 0.8641, | |
| "eval_samples_per_second": 1009.163, | |
| "eval_steps_per_second": 63.651, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 2.64, | |
| "learning_rate": 2.422802850356295e-06, | |
| "loss": 0.1627, | |
| "step": 5550 | |
| }, | |
| { | |
| "epoch": 2.66, | |
| "learning_rate": 2.264449722882027e-06, | |
| "loss": 0.1585, | |
| "step": 5600 | |
| }, | |
| { | |
| "epoch": 2.68, | |
| "learning_rate": 2.1060965954077596e-06, | |
| "loss": 0.1703, | |
| "step": 5650 | |
| }, | |
| { | |
| "epoch": 2.71, | |
| "learning_rate": 1.947743467933492e-06, | |
| "loss": 0.1646, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 2.73, | |
| "learning_rate": 1.789390340459224e-06, | |
| "loss": 0.1787, | |
| "step": 5750 | |
| }, | |
| { | |
| "epoch": 2.76, | |
| "learning_rate": 1.6310372129849566e-06, | |
| "loss": 0.1395, | |
| "step": 5800 | |
| }, | |
| { | |
| "epoch": 2.78, | |
| "learning_rate": 1.472684085510689e-06, | |
| "loss": 0.1512, | |
| "step": 5850 | |
| }, | |
| { | |
| "epoch": 2.8, | |
| "learning_rate": 1.3143309580364213e-06, | |
| "loss": 0.1634, | |
| "step": 5900 | |
| }, | |
| { | |
| "epoch": 2.83, | |
| "learning_rate": 1.1559778305621536e-06, | |
| "loss": 0.1515, | |
| "step": 5950 | |
| }, | |
| { | |
| "epoch": 2.85, | |
| "learning_rate": 9.976247030878861e-07, | |
| "loss": 0.1604, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 2.85, | |
| "eval_accuracy": 0.8841743119266054, | |
| "eval_loss": 0.37295475602149963, | |
| "eval_runtime": 0.8628, | |
| "eval_samples_per_second": 1010.644, | |
| "eval_steps_per_second": 63.745, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 2.87, | |
| "learning_rate": 8.392715756136184e-07, | |
| "loss": 0.1509, | |
| "step": 6050 | |
| }, | |
| { | |
| "epoch": 2.9, | |
| "learning_rate": 6.809184481393508e-07, | |
| "loss": 0.1431, | |
| "step": 6100 | |
| }, | |
| { | |
| "epoch": 2.92, | |
| "learning_rate": 5.225653206650831e-07, | |
| "loss": 0.1655, | |
| "step": 6150 | |
| }, | |
| { | |
| "epoch": 2.95, | |
| "learning_rate": 3.642121931908155e-07, | |
| "loss": 0.1542, | |
| "step": 6200 | |
| }, | |
| { | |
| "epoch": 2.97, | |
| "learning_rate": 2.0585906571654793e-07, | |
| "loss": 0.149, | |
| "step": 6250 | |
| }, | |
| { | |
| "epoch": 2.99, | |
| "learning_rate": 4.750593824228029e-08, | |
| "loss": 0.1691, | |
| "step": 6300 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "step": 6315, | |
| "total_flos": 5534396646750420.0, | |
| "train_loss": 0.23872949418243866, | |
| "train_runtime": 1035.3752, | |
| "train_samples_per_second": 195.144, | |
| "train_steps_per_second": 6.099 | |
| } | |
| ], | |
| "logging_steps": 50, | |
| "max_steps": 6315, | |
| "num_train_epochs": 3, | |
| "save_steps": 500, | |
| "total_flos": 5534396646750420.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |