| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 80.0, | |
| "global_step": 2000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.57, | |
| "eval_loss": 0.4804803133010864, | |
| "eval_runtime": 2.9697, | |
| "eval_samples_per_second": 33.673, | |
| "eval_steps_per_second": 4.377, | |
| "step": 25 | |
| }, | |
| { | |
| "best_epoch": 0, | |
| "best_eval_accuracy": 0.57, | |
| "epoch": 1.0, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.59, | |
| "eval_loss": 0.31524839997291565, | |
| "eval_runtime": 3.0246, | |
| "eval_samples_per_second": 33.062, | |
| "eval_steps_per_second": 4.298, | |
| "step": 50 | |
| }, | |
| { | |
| "best_epoch": 1, | |
| "best_eval_accuracy": 0.59, | |
| "epoch": 2.0, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.62, | |
| "eval_loss": 0.30196473002433777, | |
| "eval_runtime": 3.0719, | |
| "eval_samples_per_second": 32.553, | |
| "eval_steps_per_second": 4.232, | |
| "step": 75 | |
| }, | |
| { | |
| "best_epoch": 2, | |
| "best_eval_accuracy": 0.62, | |
| "epoch": 3.0, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.59, | |
| "eval_loss": 0.2893486022949219, | |
| "eval_runtime": 3.1068, | |
| "eval_samples_per_second": 32.188, | |
| "eval_steps_per_second": 4.184, | |
| "step": 100 | |
| }, | |
| { | |
| "best_epoch": 2, | |
| "best_eval_accuracy": 0.62, | |
| "epoch": 4.0, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.4, | |
| "eval_loss": 0.2987529933452606, | |
| "eval_runtime": 3.1313, | |
| "eval_samples_per_second": 31.936, | |
| "eval_steps_per_second": 4.152, | |
| "step": 125 | |
| }, | |
| { | |
| "best_epoch": 2, | |
| "best_eval_accuracy": 0.62, | |
| "epoch": 5.0, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.57, | |
| "eval_loss": 0.2916392982006073, | |
| "eval_runtime": 3.1469, | |
| "eval_samples_per_second": 31.777, | |
| "eval_steps_per_second": 4.131, | |
| "step": 150 | |
| }, | |
| { | |
| "best_epoch": 2, | |
| "best_eval_accuracy": 0.62, | |
| "epoch": 6.0, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.62, | |
| "eval_loss": 0.29468733072280884, | |
| "eval_runtime": 3.1542, | |
| "eval_samples_per_second": 31.704, | |
| "eval_steps_per_second": 4.121, | |
| "step": 175 | |
| }, | |
| { | |
| "best_epoch": 2, | |
| "best_eval_accuracy": 0.62, | |
| "epoch": 7.0, | |
| "step": 175 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.61, | |
| "eval_loss": 0.2887653708457947, | |
| "eval_runtime": 3.1629, | |
| "eval_samples_per_second": 31.617, | |
| "eval_steps_per_second": 4.11, | |
| "step": 200 | |
| }, | |
| { | |
| "best_epoch": 2, | |
| "best_eval_accuracy": 0.62, | |
| "epoch": 8.0, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.53, | |
| "eval_loss": 0.2915412187576294, | |
| "eval_runtime": 3.1715, | |
| "eval_samples_per_second": 31.531, | |
| "eval_steps_per_second": 4.099, | |
| "step": 225 | |
| }, | |
| { | |
| "best_epoch": 2, | |
| "best_eval_accuracy": 0.62, | |
| "epoch": 9.0, | |
| "step": 225 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.63, | |
| "eval_loss": 0.29383793473243713, | |
| "eval_runtime": 3.1658, | |
| "eval_samples_per_second": 31.587, | |
| "eval_steps_per_second": 4.106, | |
| "step": 250 | |
| }, | |
| { | |
| "best_epoch": 9, | |
| "best_eval_accuracy": 0.63, | |
| "epoch": 10.0, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.36, | |
| "eval_loss": 0.29850146174430847, | |
| "eval_runtime": 3.1673, | |
| "eval_samples_per_second": 31.572, | |
| "eval_steps_per_second": 4.104, | |
| "step": 275 | |
| }, | |
| { | |
| "best_epoch": 9, | |
| "best_eval_accuracy": 0.63, | |
| "epoch": 11.0, | |
| "step": 275 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.65, | |
| "eval_loss": 0.28536227345466614, | |
| "eval_runtime": 3.1687, | |
| "eval_samples_per_second": 31.558, | |
| "eval_steps_per_second": 4.103, | |
| "step": 300 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.65, | |
| "epoch": 12.0, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.49, | |
| "eval_loss": 0.2870297431945801, | |
| "eval_runtime": 3.1692, | |
| "eval_samples_per_second": 31.554, | |
| "eval_steps_per_second": 4.102, | |
| "step": 325 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.65, | |
| "epoch": 13.0, | |
| "step": 325 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy": 0.64, | |
| "eval_loss": 0.28021568059921265, | |
| "eval_runtime": 3.1713, | |
| "eval_samples_per_second": 31.533, | |
| "eval_steps_per_second": 4.099, | |
| "step": 350 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.65, | |
| "epoch": 14.0, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy": 0.61, | |
| "eval_loss": 0.2801496684551239, | |
| "eval_runtime": 3.1719, | |
| "eval_samples_per_second": 31.527, | |
| "eval_steps_per_second": 4.098, | |
| "step": 375 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.65, | |
| "epoch": 15.0, | |
| "step": 375 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.63, | |
| "eval_loss": 0.2805960774421692, | |
| "eval_runtime": 3.1705, | |
| "eval_samples_per_second": 31.541, | |
| "eval_steps_per_second": 4.1, | |
| "step": 400 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.65, | |
| "epoch": 16.0, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_accuracy": 0.6, | |
| "eval_loss": 0.28096577525138855, | |
| "eval_runtime": 3.1719, | |
| "eval_samples_per_second": 31.527, | |
| "eval_steps_per_second": 4.098, | |
| "step": 425 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.65, | |
| "epoch": 17.0, | |
| "step": 425 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_accuracy": 0.66, | |
| "eval_loss": 0.2888098657131195, | |
| "eval_runtime": 3.1688, | |
| "eval_samples_per_second": 31.558, | |
| "eval_steps_per_second": 4.102, | |
| "step": 450 | |
| }, | |
| { | |
| "best_epoch": 17, | |
| "best_eval_accuracy": 0.66, | |
| "epoch": 18.0, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_accuracy": 0.63, | |
| "eval_loss": 0.278043657541275, | |
| "eval_runtime": 3.1698, | |
| "eval_samples_per_second": 31.548, | |
| "eval_steps_per_second": 4.101, | |
| "step": 475 | |
| }, | |
| { | |
| "best_epoch": 17, | |
| "best_eval_accuracy": 0.66, | |
| "epoch": 19.0, | |
| "step": 475 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "learning_rate": 0.015, | |
| "loss": 0.6923, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy": 0.6, | |
| "eval_loss": 0.28032350540161133, | |
| "eval_runtime": 3.1696, | |
| "eval_samples_per_second": 31.549, | |
| "eval_steps_per_second": 4.101, | |
| "step": 500 | |
| }, | |
| { | |
| "best_epoch": 17, | |
| "best_eval_accuracy": 0.66, | |
| "epoch": 20.0, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "eval_accuracy": 0.65, | |
| "eval_loss": 0.2768295407295227, | |
| "eval_runtime": 3.1686, | |
| "eval_samples_per_second": 31.559, | |
| "eval_steps_per_second": 4.103, | |
| "step": 525 | |
| }, | |
| { | |
| "best_epoch": 17, | |
| "best_eval_accuracy": 0.66, | |
| "epoch": 21.0, | |
| "step": 525 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "eval_accuracy": 0.65, | |
| "eval_loss": 0.2743799388408661, | |
| "eval_runtime": 3.1675, | |
| "eval_samples_per_second": 31.57, | |
| "eval_steps_per_second": 4.104, | |
| "step": 550 | |
| }, | |
| { | |
| "best_epoch": 17, | |
| "best_eval_accuracy": 0.66, | |
| "epoch": 22.0, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "eval_accuracy": 0.66, | |
| "eval_loss": 0.2831212282180786, | |
| "eval_runtime": 3.1751, | |
| "eval_samples_per_second": 31.495, | |
| "eval_steps_per_second": 4.094, | |
| "step": 575 | |
| }, | |
| { | |
| "best_epoch": 17, | |
| "best_eval_accuracy": 0.66, | |
| "epoch": 23.0, | |
| "step": 575 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "eval_accuracy": 0.67, | |
| "eval_loss": 0.27428343892097473, | |
| "eval_runtime": 3.174, | |
| "eval_samples_per_second": 31.506, | |
| "eval_steps_per_second": 4.096, | |
| "step": 600 | |
| }, | |
| { | |
| "best_epoch": 23, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 24.0, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_accuracy": 0.69, | |
| "eval_loss": 0.2847433388233185, | |
| "eval_runtime": 3.1729, | |
| "eval_samples_per_second": 31.517, | |
| "eval_steps_per_second": 4.097, | |
| "step": 625 | |
| }, | |
| { | |
| "best_epoch": 24, | |
| "best_eval_accuracy": 0.69, | |
| "epoch": 25.0, | |
| "step": 625 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "eval_accuracy": 0.71, | |
| "eval_loss": 0.273659884929657, | |
| "eval_runtime": 3.1699, | |
| "eval_samples_per_second": 31.547, | |
| "eval_steps_per_second": 4.101, | |
| "step": 650 | |
| }, | |
| { | |
| "best_epoch": 25, | |
| "best_eval_accuracy": 0.71, | |
| "epoch": 26.0, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "eval_accuracy": 0.65, | |
| "eval_loss": 0.28170689940452576, | |
| "eval_runtime": 3.1699, | |
| "eval_samples_per_second": 31.547, | |
| "eval_steps_per_second": 4.101, | |
| "step": 675 | |
| }, | |
| { | |
| "best_epoch": 25, | |
| "best_eval_accuracy": 0.71, | |
| "epoch": 27.0, | |
| "step": 675 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "eval_accuracy": 0.68, | |
| "eval_loss": 0.2770252525806427, | |
| "eval_runtime": 3.1658, | |
| "eval_samples_per_second": 31.587, | |
| "eval_steps_per_second": 4.106, | |
| "step": 700 | |
| }, | |
| { | |
| "best_epoch": 25, | |
| "best_eval_accuracy": 0.71, | |
| "epoch": 28.0, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "eval_accuracy": 0.67, | |
| "eval_loss": 0.28874772787094116, | |
| "eval_runtime": 3.1645, | |
| "eval_samples_per_second": 31.6, | |
| "eval_steps_per_second": 4.108, | |
| "step": 725 | |
| }, | |
| { | |
| "best_epoch": 25, | |
| "best_eval_accuracy": 0.71, | |
| "epoch": 29.0, | |
| "step": 725 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_accuracy": 0.64, | |
| "eval_loss": 0.27803295850753784, | |
| "eval_runtime": 3.1654, | |
| "eval_samples_per_second": 31.592, | |
| "eval_steps_per_second": 4.107, | |
| "step": 750 | |
| }, | |
| { | |
| "best_epoch": 25, | |
| "best_eval_accuracy": 0.71, | |
| "epoch": 30.0, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "eval_accuracy": 0.66, | |
| "eval_loss": 0.270718514919281, | |
| "eval_runtime": 3.1669, | |
| "eval_samples_per_second": 31.577, | |
| "eval_steps_per_second": 4.105, | |
| "step": 775 | |
| }, | |
| { | |
| "best_epoch": 25, | |
| "best_eval_accuracy": 0.71, | |
| "epoch": 31.0, | |
| "step": 775 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "eval_accuracy": 0.7, | |
| "eval_loss": 0.2889265716075897, | |
| "eval_runtime": 3.1651, | |
| "eval_samples_per_second": 31.595, | |
| "eval_steps_per_second": 4.107, | |
| "step": 800 | |
| }, | |
| { | |
| "best_epoch": 25, | |
| "best_eval_accuracy": 0.71, | |
| "epoch": 32.0, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 33.0, | |
| "eval_accuracy": 0.68, | |
| "eval_loss": 0.2821086645126343, | |
| "eval_runtime": 3.1646, | |
| "eval_samples_per_second": 31.6, | |
| "eval_steps_per_second": 4.108, | |
| "step": 825 | |
| }, | |
| { | |
| "best_epoch": 25, | |
| "best_eval_accuracy": 0.71, | |
| "epoch": 33.0, | |
| "step": 825 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "eval_accuracy": 0.7, | |
| "eval_loss": 0.2735106647014618, | |
| "eval_runtime": 3.1678, | |
| "eval_samples_per_second": 31.568, | |
| "eval_steps_per_second": 4.104, | |
| "step": 850 | |
| }, | |
| { | |
| "best_epoch": 25, | |
| "best_eval_accuracy": 0.71, | |
| "epoch": 34.0, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "eval_accuracy": 0.66, | |
| "eval_loss": 0.27724650502204895, | |
| "eval_runtime": 3.1727, | |
| "eval_samples_per_second": 31.519, | |
| "eval_steps_per_second": 4.097, | |
| "step": 875 | |
| }, | |
| { | |
| "best_epoch": 25, | |
| "best_eval_accuracy": 0.71, | |
| "epoch": 35.0, | |
| "step": 875 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "eval_accuracy": 0.67, | |
| "eval_loss": 0.27664193511009216, | |
| "eval_runtime": 3.1673, | |
| "eval_samples_per_second": 31.573, | |
| "eval_steps_per_second": 4.104, | |
| "step": 900 | |
| }, | |
| { | |
| "best_epoch": 25, | |
| "best_eval_accuracy": 0.71, | |
| "epoch": 36.0, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 37.0, | |
| "eval_accuracy": 0.68, | |
| "eval_loss": 0.28623029589653015, | |
| "eval_runtime": 3.1643, | |
| "eval_samples_per_second": 31.602, | |
| "eval_steps_per_second": 4.108, | |
| "step": 925 | |
| }, | |
| { | |
| "best_epoch": 25, | |
| "best_eval_accuracy": 0.71, | |
| "epoch": 37.0, | |
| "step": 925 | |
| }, | |
| { | |
| "epoch": 38.0, | |
| "eval_accuracy": 0.65, | |
| "eval_loss": 0.27454671263694763, | |
| "eval_runtime": 3.1647, | |
| "eval_samples_per_second": 31.599, | |
| "eval_steps_per_second": 4.108, | |
| "step": 950 | |
| }, | |
| { | |
| "best_epoch": 25, | |
| "best_eval_accuracy": 0.71, | |
| "epoch": 38.0, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 39.0, | |
| "eval_accuracy": 0.66, | |
| "eval_loss": 0.28275245428085327, | |
| "eval_runtime": 3.1658, | |
| "eval_samples_per_second": 31.587, | |
| "eval_steps_per_second": 4.106, | |
| "step": 975 | |
| }, | |
| { | |
| "best_epoch": 25, | |
| "best_eval_accuracy": 0.71, | |
| "epoch": 39.0, | |
| "step": 975 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "learning_rate": 0.01, | |
| "loss": 0.5864, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "eval_accuracy": 0.68, | |
| "eval_loss": 0.3264109790325165, | |
| "eval_runtime": 3.1694, | |
| "eval_samples_per_second": 31.552, | |
| "eval_steps_per_second": 4.102, | |
| "step": 1000 | |
| }, | |
| { | |
| "best_epoch": 25, | |
| "best_eval_accuracy": 0.71, | |
| "epoch": 40.0, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 41.0, | |
| "eval_accuracy": 0.68, | |
| "eval_loss": 0.2749994993209839, | |
| "eval_runtime": 3.1811, | |
| "eval_samples_per_second": 31.436, | |
| "eval_steps_per_second": 4.087, | |
| "step": 1025 | |
| }, | |
| { | |
| "best_epoch": 25, | |
| "best_eval_accuracy": 0.71, | |
| "epoch": 41.0, | |
| "step": 1025 | |
| }, | |
| { | |
| "epoch": 42.0, | |
| "eval_accuracy": 0.67, | |
| "eval_loss": 0.28311243653297424, | |
| "eval_runtime": 3.1697, | |
| "eval_samples_per_second": 31.549, | |
| "eval_steps_per_second": 4.101, | |
| "step": 1050 | |
| }, | |
| { | |
| "best_epoch": 25, | |
| "best_eval_accuracy": 0.71, | |
| "epoch": 42.0, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 43.0, | |
| "eval_accuracy": 0.67, | |
| "eval_loss": 0.2724871039390564, | |
| "eval_runtime": 3.1778, | |
| "eval_samples_per_second": 31.468, | |
| "eval_steps_per_second": 4.091, | |
| "step": 1075 | |
| }, | |
| { | |
| "best_epoch": 25, | |
| "best_eval_accuracy": 0.71, | |
| "epoch": 43.0, | |
| "step": 1075 | |
| }, | |
| { | |
| "epoch": 44.0, | |
| "eval_accuracy": 0.68, | |
| "eval_loss": 0.2908870577812195, | |
| "eval_runtime": 3.1727, | |
| "eval_samples_per_second": 31.519, | |
| "eval_steps_per_second": 4.098, | |
| "step": 1100 | |
| }, | |
| { | |
| "best_epoch": 25, | |
| "best_eval_accuracy": 0.71, | |
| "epoch": 44.0, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "eval_accuracy": 0.69, | |
| "eval_loss": 0.2840518653392792, | |
| "eval_runtime": 3.1714, | |
| "eval_samples_per_second": 31.532, | |
| "eval_steps_per_second": 4.099, | |
| "step": 1125 | |
| }, | |
| { | |
| "best_epoch": 25, | |
| "best_eval_accuracy": 0.71, | |
| "epoch": 45.0, | |
| "step": 1125 | |
| }, | |
| { | |
| "epoch": 46.0, | |
| "eval_accuracy": 0.69, | |
| "eval_loss": 0.31259122490882874, | |
| "eval_runtime": 3.1745, | |
| "eval_samples_per_second": 31.501, | |
| "eval_steps_per_second": 4.095, | |
| "step": 1150 | |
| }, | |
| { | |
| "best_epoch": 25, | |
| "best_eval_accuracy": 0.71, | |
| "epoch": 46.0, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 47.0, | |
| "eval_accuracy": 0.72, | |
| "eval_loss": 0.28924334049224854, | |
| "eval_runtime": 3.1749, | |
| "eval_samples_per_second": 31.497, | |
| "eval_steps_per_second": 4.095, | |
| "step": 1175 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 47.0, | |
| "step": 1175 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "eval_accuracy": 0.7, | |
| "eval_loss": 0.2886520326137543, | |
| "eval_runtime": 3.177, | |
| "eval_samples_per_second": 31.476, | |
| "eval_steps_per_second": 4.092, | |
| "step": 1200 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 48.0, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 49.0, | |
| "eval_accuracy": 0.7, | |
| "eval_loss": 0.2833870053291321, | |
| "eval_runtime": 3.176, | |
| "eval_samples_per_second": 31.486, | |
| "eval_steps_per_second": 4.093, | |
| "step": 1225 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 49.0, | |
| "step": 1225 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_accuracy": 0.66, | |
| "eval_loss": 0.2731325626373291, | |
| "eval_runtime": 3.1813, | |
| "eval_samples_per_second": 31.433, | |
| "eval_steps_per_second": 4.086, | |
| "step": 1250 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 50.0, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 51.0, | |
| "eval_accuracy": 0.68, | |
| "eval_loss": 0.28878146409988403, | |
| "eval_runtime": 3.1811, | |
| "eval_samples_per_second": 31.436, | |
| "eval_steps_per_second": 4.087, | |
| "step": 1275 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 51.0, | |
| "step": 1275 | |
| }, | |
| { | |
| "epoch": 52.0, | |
| "eval_accuracy": 0.67, | |
| "eval_loss": 0.3080463707447052, | |
| "eval_runtime": 3.1823, | |
| "eval_samples_per_second": 31.423, | |
| "eval_steps_per_second": 4.085, | |
| "step": 1300 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 52.0, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 53.0, | |
| "eval_accuracy": 0.67, | |
| "eval_loss": 0.28622153401374817, | |
| "eval_runtime": 3.1939, | |
| "eval_samples_per_second": 31.309, | |
| "eval_steps_per_second": 4.07, | |
| "step": 1325 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 53.0, | |
| "step": 1325 | |
| }, | |
| { | |
| "epoch": 54.0, | |
| "eval_accuracy": 0.67, | |
| "eval_loss": 0.27717000246047974, | |
| "eval_runtime": 3.1836, | |
| "eval_samples_per_second": 31.411, | |
| "eval_steps_per_second": 4.083, | |
| "step": 1350 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 54.0, | |
| "step": 1350 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "eval_accuracy": 0.67, | |
| "eval_loss": 0.2790798544883728, | |
| "eval_runtime": 3.186, | |
| "eval_samples_per_second": 31.387, | |
| "eval_steps_per_second": 4.08, | |
| "step": 1375 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 55.0, | |
| "step": 1375 | |
| }, | |
| { | |
| "epoch": 56.0, | |
| "eval_accuracy": 0.68, | |
| "eval_loss": 0.29302406311035156, | |
| "eval_runtime": 3.1924, | |
| "eval_samples_per_second": 31.325, | |
| "eval_steps_per_second": 4.072, | |
| "step": 1400 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 56.0, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 57.0, | |
| "eval_accuracy": 0.66, | |
| "eval_loss": 0.27831196784973145, | |
| "eval_runtime": 3.1927, | |
| "eval_samples_per_second": 31.321, | |
| "eval_steps_per_second": 4.072, | |
| "step": 1425 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 57.0, | |
| "step": 1425 | |
| }, | |
| { | |
| "epoch": 58.0, | |
| "eval_accuracy": 0.67, | |
| "eval_loss": 0.28552454710006714, | |
| "eval_runtime": 3.1926, | |
| "eval_samples_per_second": 31.322, | |
| "eval_steps_per_second": 4.072, | |
| "step": 1450 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 58.0, | |
| "step": 1450 | |
| }, | |
| { | |
| "epoch": 59.0, | |
| "eval_accuracy": 0.69, | |
| "eval_loss": 0.28503143787384033, | |
| "eval_runtime": 3.19, | |
| "eval_samples_per_second": 31.348, | |
| "eval_steps_per_second": 4.075, | |
| "step": 1475 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 59.0, | |
| "step": 1475 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "learning_rate": 0.005, | |
| "loss": 0.4926, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "eval_accuracy": 0.69, | |
| "eval_loss": 0.28993481397628784, | |
| "eval_runtime": 3.1899, | |
| "eval_samples_per_second": 31.348, | |
| "eval_steps_per_second": 4.075, | |
| "step": 1500 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 60.0, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 61.0, | |
| "eval_accuracy": 0.67, | |
| "eval_loss": 0.27968910336494446, | |
| "eval_runtime": 3.1909, | |
| "eval_samples_per_second": 31.339, | |
| "eval_steps_per_second": 4.074, | |
| "step": 1525 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 61.0, | |
| "step": 1525 | |
| }, | |
| { | |
| "epoch": 62.0, | |
| "eval_accuracy": 0.69, | |
| "eval_loss": 0.33221057057380676, | |
| "eval_runtime": 3.1856, | |
| "eval_samples_per_second": 31.391, | |
| "eval_steps_per_second": 4.081, | |
| "step": 1550 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 62.0, | |
| "step": 1550 | |
| }, | |
| { | |
| "epoch": 63.0, | |
| "eval_accuracy": 0.69, | |
| "eval_loss": 0.2761762738227844, | |
| "eval_runtime": 3.1864, | |
| "eval_samples_per_second": 31.384, | |
| "eval_steps_per_second": 4.08, | |
| "step": 1575 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 63.0, | |
| "step": 1575 | |
| }, | |
| { | |
| "epoch": 64.0, | |
| "eval_accuracy": 0.7, | |
| "eval_loss": 0.2816024720668793, | |
| "eval_runtime": 3.1868, | |
| "eval_samples_per_second": 31.38, | |
| "eval_steps_per_second": 4.079, | |
| "step": 1600 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 64.0, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 65.0, | |
| "eval_accuracy": 0.68, | |
| "eval_loss": 0.2951596677303314, | |
| "eval_runtime": 3.1855, | |
| "eval_samples_per_second": 31.393, | |
| "eval_steps_per_second": 4.081, | |
| "step": 1625 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 65.0, | |
| "step": 1625 | |
| }, | |
| { | |
| "epoch": 66.0, | |
| "eval_accuracy": 0.68, | |
| "eval_loss": 0.2794454097747803, | |
| "eval_runtime": 3.1836, | |
| "eval_samples_per_second": 31.411, | |
| "eval_steps_per_second": 4.083, | |
| "step": 1650 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 66.0, | |
| "step": 1650 | |
| }, | |
| { | |
| "epoch": 67.0, | |
| "eval_accuracy": 0.69, | |
| "eval_loss": 0.2873387932777405, | |
| "eval_runtime": 3.1872, | |
| "eval_samples_per_second": 31.375, | |
| "eval_steps_per_second": 4.079, | |
| "step": 1675 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 67.0, | |
| "step": 1675 | |
| }, | |
| { | |
| "epoch": 68.0, | |
| "eval_accuracy": 0.69, | |
| "eval_loss": 0.2834796607494354, | |
| "eval_runtime": 3.1878, | |
| "eval_samples_per_second": 31.37, | |
| "eval_steps_per_second": 4.078, | |
| "step": 1700 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 68.0, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 69.0, | |
| "eval_accuracy": 0.68, | |
| "eval_loss": 0.2908068597316742, | |
| "eval_runtime": 3.2004, | |
| "eval_samples_per_second": 31.246, | |
| "eval_steps_per_second": 4.062, | |
| "step": 1725 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 69.0, | |
| "step": 1725 | |
| }, | |
| { | |
| "epoch": 70.0, | |
| "eval_accuracy": 0.68, | |
| "eval_loss": 0.300818532705307, | |
| "eval_runtime": 3.1872, | |
| "eval_samples_per_second": 31.376, | |
| "eval_steps_per_second": 4.079, | |
| "step": 1750 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 70.0, | |
| "step": 1750 | |
| }, | |
| { | |
| "epoch": 71.0, | |
| "eval_accuracy": 0.68, | |
| "eval_loss": 0.2892753481864929, | |
| "eval_runtime": 3.1915, | |
| "eval_samples_per_second": 31.333, | |
| "eval_steps_per_second": 4.073, | |
| "step": 1775 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 71.0, | |
| "step": 1775 | |
| }, | |
| { | |
| "epoch": 72.0, | |
| "eval_accuracy": 0.68, | |
| "eval_loss": 0.28255218267440796, | |
| "eval_runtime": 3.1936, | |
| "eval_samples_per_second": 31.313, | |
| "eval_steps_per_second": 4.071, | |
| "step": 1800 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 72.0, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 73.0, | |
| "eval_accuracy": 0.68, | |
| "eval_loss": 0.29189300537109375, | |
| "eval_runtime": 3.189, | |
| "eval_samples_per_second": 31.358, | |
| "eval_steps_per_second": 4.077, | |
| "step": 1825 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 73.0, | |
| "step": 1825 | |
| }, | |
| { | |
| "epoch": 74.0, | |
| "eval_accuracy": 0.7, | |
| "eval_loss": 0.2832392454147339, | |
| "eval_runtime": 3.1867, | |
| "eval_samples_per_second": 31.381, | |
| "eval_steps_per_second": 4.079, | |
| "step": 1850 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 74.0, | |
| "step": 1850 | |
| }, | |
| { | |
| "epoch": 75.0, | |
| "eval_accuracy": 0.7, | |
| "eval_loss": 0.2830210328102112, | |
| "eval_runtime": 3.1895, | |
| "eval_samples_per_second": 31.353, | |
| "eval_steps_per_second": 4.076, | |
| "step": 1875 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 75.0, | |
| "step": 1875 | |
| }, | |
| { | |
| "epoch": 76.0, | |
| "eval_accuracy": 0.69, | |
| "eval_loss": 0.2808878719806671, | |
| "eval_runtime": 3.1857, | |
| "eval_samples_per_second": 31.39, | |
| "eval_steps_per_second": 4.081, | |
| "step": 1900 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 76.0, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 77.0, | |
| "eval_accuracy": 0.69, | |
| "eval_loss": 0.2822246849536896, | |
| "eval_runtime": 3.1912, | |
| "eval_samples_per_second": 31.336, | |
| "eval_steps_per_second": 4.074, | |
| "step": 1925 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 77.0, | |
| "step": 1925 | |
| }, | |
| { | |
| "epoch": 78.0, | |
| "eval_accuracy": 0.69, | |
| "eval_loss": 0.2884049117565155, | |
| "eval_runtime": 3.1866, | |
| "eval_samples_per_second": 31.382, | |
| "eval_steps_per_second": 4.08, | |
| "step": 1950 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 78.0, | |
| "step": 1950 | |
| }, | |
| { | |
| "epoch": 79.0, | |
| "eval_accuracy": 0.7, | |
| "eval_loss": 0.290973961353302, | |
| "eval_runtime": 3.191, | |
| "eval_samples_per_second": 31.339, | |
| "eval_steps_per_second": 4.074, | |
| "step": 1975 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 79.0, | |
| "step": 1975 | |
| }, | |
| { | |
| "epoch": 80.0, | |
| "learning_rate": 0.0, | |
| "loss": 0.4369, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 80.0, | |
| "eval_accuracy": 0.7, | |
| "eval_loss": 0.2896697521209717, | |
| "eval_runtime": 3.1895, | |
| "eval_samples_per_second": 31.353, | |
| "eval_steps_per_second": 4.076, | |
| "step": 2000 | |
| }, | |
| { | |
| "best_epoch": 46, | |
| "best_eval_accuracy": 0.72, | |
| "epoch": 80.0, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 80.0, | |
| "step": 2000, | |
| "total_flos": 2.9821702864896e+16, | |
| "train_loss": 0.5520365753173828, | |
| "train_runtime": 1695.1694, | |
| "train_samples_per_second": 18.877, | |
| "train_steps_per_second": 1.18 | |
| } | |
| ], | |
| "max_steps": 2000, | |
| "num_train_epochs": 80, | |
| "total_flos": 2.9821702864896e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |