| { | |
| "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": 0.66, | |
| "eval_loss": 0.41458651423454285, | |
| "eval_runtime": 2.9544, | |
| "eval_samples_per_second": 33.848, | |
| "eval_steps_per_second": 4.4, | |
| "step": 25 | |
| }, | |
| { | |
| "best_epoch": 0, | |
| "best_eval_accuracy": 0.66, | |
| "epoch": 1.0, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.66, | |
| "eval_loss": 0.4116404056549072, | |
| "eval_runtime": 2.9946, | |
| "eval_samples_per_second": 33.394, | |
| "eval_steps_per_second": 4.341, | |
| "step": 50 | |
| }, | |
| { | |
| "best_epoch": 0, | |
| "best_eval_accuracy": 0.66, | |
| "epoch": 2.0, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.66, | |
| "eval_loss": 0.41392984986305237, | |
| "eval_runtime": 3.022, | |
| "eval_samples_per_second": 33.091, | |
| "eval_steps_per_second": 4.302, | |
| "step": 75 | |
| }, | |
| { | |
| "best_epoch": 0, | |
| "best_eval_accuracy": 0.66, | |
| "epoch": 3.0, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.64, | |
| "eval_loss": 0.416966050863266, | |
| "eval_runtime": 3.0401, | |
| "eval_samples_per_second": 32.893, | |
| "eval_steps_per_second": 4.276, | |
| "step": 100 | |
| }, | |
| { | |
| "best_epoch": 0, | |
| "best_eval_accuracy": 0.66, | |
| "epoch": 4.0, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.65, | |
| "eval_loss": 0.4182185232639313, | |
| "eval_runtime": 3.0632, | |
| "eval_samples_per_second": 32.646, | |
| "eval_steps_per_second": 4.244, | |
| "step": 125 | |
| }, | |
| { | |
| "best_epoch": 0, | |
| "best_eval_accuracy": 0.66, | |
| "epoch": 5.0, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.57, | |
| "eval_loss": 0.42081978917121887, | |
| "eval_runtime": 3.0619, | |
| "eval_samples_per_second": 32.66, | |
| "eval_steps_per_second": 4.246, | |
| "step": 150 | |
| }, | |
| { | |
| "best_epoch": 0, | |
| "best_eval_accuracy": 0.66, | |
| "epoch": 6.0, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.66, | |
| "eval_loss": 0.41149312257766724, | |
| "eval_runtime": 3.069, | |
| "eval_samples_per_second": 32.584, | |
| "eval_steps_per_second": 4.236, | |
| "step": 175 | |
| }, | |
| { | |
| "best_epoch": 0, | |
| "best_eval_accuracy": 0.66, | |
| "epoch": 7.0, | |
| "step": 175 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.66, | |
| "eval_loss": 0.41568344831466675, | |
| "eval_runtime": 3.0682, | |
| "eval_samples_per_second": 32.592, | |
| "eval_steps_per_second": 4.237, | |
| "step": 200 | |
| }, | |
| { | |
| "best_epoch": 0, | |
| "best_eval_accuracy": 0.66, | |
| "epoch": 8.0, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.64, | |
| "eval_loss": 0.4229449927806854, | |
| "eval_runtime": 3.0693, | |
| "eval_samples_per_second": 32.581, | |
| "eval_steps_per_second": 4.235, | |
| "step": 225 | |
| }, | |
| { | |
| "best_epoch": 0, | |
| "best_eval_accuracy": 0.66, | |
| "epoch": 9.0, | |
| "step": 225 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.65, | |
| "eval_loss": 0.4205465018749237, | |
| "eval_runtime": 3.0704, | |
| "eval_samples_per_second": 32.569, | |
| "eval_steps_per_second": 4.234, | |
| "step": 250 | |
| }, | |
| { | |
| "best_epoch": 0, | |
| "best_eval_accuracy": 0.66, | |
| "epoch": 10.0, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.64, | |
| "eval_loss": 0.41778337955474854, | |
| "eval_runtime": 3.0755, | |
| "eval_samples_per_second": 32.515, | |
| "eval_steps_per_second": 4.227, | |
| "step": 275 | |
| }, | |
| { | |
| "best_epoch": 0, | |
| "best_eval_accuracy": 0.66, | |
| "epoch": 11.0, | |
| "step": 275 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.67, | |
| "eval_loss": 0.41307488083839417, | |
| "eval_runtime": 3.0694, | |
| "eval_samples_per_second": 32.58, | |
| "eval_steps_per_second": 4.235, | |
| "step": 300 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 12.0, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.65, | |
| "eval_loss": 0.4146430492401123, | |
| "eval_runtime": 3.0703, | |
| "eval_samples_per_second": 32.57, | |
| "eval_steps_per_second": 4.234, | |
| "step": 325 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 13.0, | |
| "step": 325 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy": 0.63, | |
| "eval_loss": 0.42016124725341797, | |
| "eval_runtime": 3.0704, | |
| "eval_samples_per_second": 32.569, | |
| "eval_steps_per_second": 4.234, | |
| "step": 350 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 14.0, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy": 0.62, | |
| "eval_loss": 0.4330647587776184, | |
| "eval_runtime": 3.0703, | |
| "eval_samples_per_second": 32.57, | |
| "eval_steps_per_second": 4.234, | |
| "step": 375 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 15.0, | |
| "step": 375 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.66, | |
| "eval_loss": 0.4120154082775116, | |
| "eval_runtime": 3.0708, | |
| "eval_samples_per_second": 32.564, | |
| "eval_steps_per_second": 4.233, | |
| "step": 400 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 16.0, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_accuracy": 0.63, | |
| "eval_loss": 0.4144454896450043, | |
| "eval_runtime": 3.0689, | |
| "eval_samples_per_second": 32.585, | |
| "eval_steps_per_second": 4.236, | |
| "step": 425 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 17.0, | |
| "step": 425 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_accuracy": 0.64, | |
| "eval_loss": 0.4182257354259491, | |
| "eval_runtime": 3.066, | |
| "eval_samples_per_second": 32.616, | |
| "eval_steps_per_second": 4.24, | |
| "step": 450 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 18.0, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_accuracy": 0.59, | |
| "eval_loss": 0.41842299699783325, | |
| "eval_runtime": 3.0648, | |
| "eval_samples_per_second": 32.629, | |
| "eval_steps_per_second": 4.242, | |
| "step": 475 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 19.0, | |
| "step": 475 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "learning_rate": 0.00075, | |
| "loss": 0.5392, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy": 0.65, | |
| "eval_loss": 0.41611525416374207, | |
| "eval_runtime": 3.0695, | |
| "eval_samples_per_second": 32.578, | |
| "eval_steps_per_second": 4.235, | |
| "step": 500 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 20.0, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "eval_accuracy": 0.64, | |
| "eval_loss": 0.41845789551734924, | |
| "eval_runtime": 3.0612, | |
| "eval_samples_per_second": 32.667, | |
| "eval_steps_per_second": 4.247, | |
| "step": 525 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 21.0, | |
| "step": 525 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "eval_accuracy": 0.59, | |
| "eval_loss": 0.4186709225177765, | |
| "eval_runtime": 3.0611, | |
| "eval_samples_per_second": 32.668, | |
| "eval_steps_per_second": 4.247, | |
| "step": 550 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 22.0, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "eval_accuracy": 0.62, | |
| "eval_loss": 0.4185837209224701, | |
| "eval_runtime": 3.0617, | |
| "eval_samples_per_second": 32.662, | |
| "eval_steps_per_second": 4.246, | |
| "step": 575 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 23.0, | |
| "step": 575 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "eval_accuracy": 0.65, | |
| "eval_loss": 0.41592276096343994, | |
| "eval_runtime": 3.0573, | |
| "eval_samples_per_second": 32.709, | |
| "eval_steps_per_second": 4.252, | |
| "step": 600 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 24.0, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_accuracy": 0.64, | |
| "eval_loss": 0.4151555895805359, | |
| "eval_runtime": 3.0541, | |
| "eval_samples_per_second": 32.743, | |
| "eval_steps_per_second": 4.257, | |
| "step": 625 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 25.0, | |
| "step": 625 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "eval_accuracy": 0.62, | |
| "eval_loss": 0.41507554054260254, | |
| "eval_runtime": 3.0542, | |
| "eval_samples_per_second": 32.742, | |
| "eval_steps_per_second": 4.256, | |
| "step": 650 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 26.0, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "eval_accuracy": 0.63, | |
| "eval_loss": 0.41364148259162903, | |
| "eval_runtime": 3.0522, | |
| "eval_samples_per_second": 32.763, | |
| "eval_steps_per_second": 4.259, | |
| "step": 675 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 27.0, | |
| "step": 675 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "eval_accuracy": 0.65, | |
| "eval_loss": 0.41904377937316895, | |
| "eval_runtime": 3.0528, | |
| "eval_samples_per_second": 32.757, | |
| "eval_steps_per_second": 4.258, | |
| "step": 700 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 28.0, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "eval_accuracy": 0.61, | |
| "eval_loss": 0.4224679470062256, | |
| "eval_runtime": 3.0526, | |
| "eval_samples_per_second": 32.759, | |
| "eval_steps_per_second": 4.259, | |
| "step": 725 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 29.0, | |
| "step": 725 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_accuracy": 0.57, | |
| "eval_loss": 0.42088595032691956, | |
| "eval_runtime": 3.0523, | |
| "eval_samples_per_second": 32.762, | |
| "eval_steps_per_second": 4.259, | |
| "step": 750 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 30.0, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "eval_accuracy": 0.63, | |
| "eval_loss": 0.416681706905365, | |
| "eval_runtime": 3.0478, | |
| "eval_samples_per_second": 32.81, | |
| "eval_steps_per_second": 4.265, | |
| "step": 775 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 31.0, | |
| "step": 775 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "eval_accuracy": 0.62, | |
| "eval_loss": 0.4152999818325043, | |
| "eval_runtime": 3.049, | |
| "eval_samples_per_second": 32.797, | |
| "eval_steps_per_second": 4.264, | |
| "step": 800 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 32.0, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 33.0, | |
| "eval_accuracy": 0.6, | |
| "eval_loss": 0.4235653281211853, | |
| "eval_runtime": 3.0473, | |
| "eval_samples_per_second": 32.816, | |
| "eval_steps_per_second": 4.266, | |
| "step": 825 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 33.0, | |
| "step": 825 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "eval_accuracy": 0.58, | |
| "eval_loss": 0.41910892724990845, | |
| "eval_runtime": 3.0486, | |
| "eval_samples_per_second": 32.801, | |
| "eval_steps_per_second": 4.264, | |
| "step": 850 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 34.0, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "eval_accuracy": 0.61, | |
| "eval_loss": 0.41600170731544495, | |
| "eval_runtime": 3.0482, | |
| "eval_samples_per_second": 32.806, | |
| "eval_steps_per_second": 4.265, | |
| "step": 875 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 35.0, | |
| "step": 875 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "eval_accuracy": 0.62, | |
| "eval_loss": 0.41634392738342285, | |
| "eval_runtime": 3.0496, | |
| "eval_samples_per_second": 32.791, | |
| "eval_steps_per_second": 4.263, | |
| "step": 900 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 36.0, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 37.0, | |
| "eval_accuracy": 0.59, | |
| "eval_loss": 0.419331818819046, | |
| "eval_runtime": 3.0513, | |
| "eval_samples_per_second": 32.773, | |
| "eval_steps_per_second": 4.261, | |
| "step": 925 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 37.0, | |
| "step": 925 | |
| }, | |
| { | |
| "epoch": 38.0, | |
| "eval_accuracy": 0.62, | |
| "eval_loss": 0.4208333194255829, | |
| "eval_runtime": 3.0517, | |
| "eval_samples_per_second": 32.768, | |
| "eval_steps_per_second": 4.26, | |
| "step": 950 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 38.0, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 39.0, | |
| "eval_accuracy": 0.6, | |
| "eval_loss": 0.416349321603775, | |
| "eval_runtime": 3.0475, | |
| "eval_samples_per_second": 32.814, | |
| "eval_steps_per_second": 4.266, | |
| "step": 975 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 39.0, | |
| "step": 975 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "learning_rate": 0.0005, | |
| "loss": 0.5359, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "eval_accuracy": 0.6, | |
| "eval_loss": 0.4158593416213989, | |
| "eval_runtime": 3.0471, | |
| "eval_samples_per_second": 32.818, | |
| "eval_steps_per_second": 4.266, | |
| "step": 1000 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 40.0, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 41.0, | |
| "eval_accuracy": 0.62, | |
| "eval_loss": 0.41456928849220276, | |
| "eval_runtime": 3.0494, | |
| "eval_samples_per_second": 32.793, | |
| "eval_steps_per_second": 4.263, | |
| "step": 1025 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 41.0, | |
| "step": 1025 | |
| }, | |
| { | |
| "epoch": 42.0, | |
| "eval_accuracy": 0.6, | |
| "eval_loss": 0.41578975319862366, | |
| "eval_runtime": 3.0512, | |
| "eval_samples_per_second": 32.774, | |
| "eval_steps_per_second": 4.261, | |
| "step": 1050 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 42.0, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 43.0, | |
| "eval_accuracy": 0.59, | |
| "eval_loss": 0.42108017206192017, | |
| "eval_runtime": 3.0504, | |
| "eval_samples_per_second": 32.783, | |
| "eval_steps_per_second": 4.262, | |
| "step": 1075 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 43.0, | |
| "step": 1075 | |
| }, | |
| { | |
| "epoch": 44.0, | |
| "eval_accuracy": 0.59, | |
| "eval_loss": 0.4202888607978821, | |
| "eval_runtime": 3.049, | |
| "eval_samples_per_second": 32.797, | |
| "eval_steps_per_second": 4.264, | |
| "step": 1100 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 44.0, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "eval_accuracy": 0.57, | |
| "eval_loss": 0.42174988985061646, | |
| "eval_runtime": 3.0504, | |
| "eval_samples_per_second": 32.782, | |
| "eval_steps_per_second": 4.262, | |
| "step": 1125 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 45.0, | |
| "step": 1125 | |
| }, | |
| { | |
| "epoch": 46.0, | |
| "eval_accuracy": 0.6, | |
| "eval_loss": 0.41829144954681396, | |
| "eval_runtime": 3.0521, | |
| "eval_samples_per_second": 32.764, | |
| "eval_steps_per_second": 4.259, | |
| "step": 1150 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 46.0, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 47.0, | |
| "eval_accuracy": 0.63, | |
| "eval_loss": 0.413789838552475, | |
| "eval_runtime": 3.0518, | |
| "eval_samples_per_second": 32.767, | |
| "eval_steps_per_second": 4.26, | |
| "step": 1175 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 47.0, | |
| "step": 1175 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "eval_accuracy": 0.63, | |
| "eval_loss": 0.4123985171318054, | |
| "eval_runtime": 3.0523, | |
| "eval_samples_per_second": 32.763, | |
| "eval_steps_per_second": 4.259, | |
| "step": 1200 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 48.0, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 49.0, | |
| "eval_accuracy": 0.63, | |
| "eval_loss": 0.41400572657585144, | |
| "eval_runtime": 3.0522, | |
| "eval_samples_per_second": 32.763, | |
| "eval_steps_per_second": 4.259, | |
| "step": 1225 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 49.0, | |
| "step": 1225 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_accuracy": 0.64, | |
| "eval_loss": 0.4117923378944397, | |
| "eval_runtime": 3.0586, | |
| "eval_samples_per_second": 32.694, | |
| "eval_steps_per_second": 4.25, | |
| "step": 1250 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 50.0, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 51.0, | |
| "eval_accuracy": 0.62, | |
| "eval_loss": 0.4136669933795929, | |
| "eval_runtime": 3.062, | |
| "eval_samples_per_second": 32.658, | |
| "eval_steps_per_second": 4.246, | |
| "step": 1275 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 51.0, | |
| "step": 1275 | |
| }, | |
| { | |
| "epoch": 52.0, | |
| "eval_accuracy": 0.63, | |
| "eval_loss": 0.4112585783004761, | |
| "eval_runtime": 3.0617, | |
| "eval_samples_per_second": 32.662, | |
| "eval_steps_per_second": 4.246, | |
| "step": 1300 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 52.0, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 53.0, | |
| "eval_accuracy": 0.62, | |
| "eval_loss": 0.411198228597641, | |
| "eval_runtime": 3.0569, | |
| "eval_samples_per_second": 32.713, | |
| "eval_steps_per_second": 4.253, | |
| "step": 1325 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 53.0, | |
| "step": 1325 | |
| }, | |
| { | |
| "epoch": 54.0, | |
| "eval_accuracy": 0.63, | |
| "eval_loss": 0.41399067640304565, | |
| "eval_runtime": 3.0552, | |
| "eval_samples_per_second": 32.731, | |
| "eval_steps_per_second": 4.255, | |
| "step": 1350 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 54.0, | |
| "step": 1350 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "eval_accuracy": 0.64, | |
| "eval_loss": 0.4128565490245819, | |
| "eval_runtime": 3.0536, | |
| "eval_samples_per_second": 32.748, | |
| "eval_steps_per_second": 4.257, | |
| "step": 1375 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 55.0, | |
| "step": 1375 | |
| }, | |
| { | |
| "epoch": 56.0, | |
| "eval_accuracy": 0.64, | |
| "eval_loss": 0.41508427262306213, | |
| "eval_runtime": 3.0516, | |
| "eval_samples_per_second": 32.77, | |
| "eval_steps_per_second": 4.26, | |
| "step": 1400 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 56.0, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 57.0, | |
| "eval_accuracy": 0.63, | |
| "eval_loss": 0.4154996871948242, | |
| "eval_runtime": 3.0553, | |
| "eval_samples_per_second": 32.73, | |
| "eval_steps_per_second": 4.255, | |
| "step": 1425 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 57.0, | |
| "step": 1425 | |
| }, | |
| { | |
| "epoch": 58.0, | |
| "eval_accuracy": 0.63, | |
| "eval_loss": 0.41395488381385803, | |
| "eval_runtime": 3.0559, | |
| "eval_samples_per_second": 32.724, | |
| "eval_steps_per_second": 4.254, | |
| "step": 1450 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 58.0, | |
| "step": 1450 | |
| }, | |
| { | |
| "epoch": 59.0, | |
| "eval_accuracy": 0.64, | |
| "eval_loss": 0.414520800113678, | |
| "eval_runtime": 3.0565, | |
| "eval_samples_per_second": 32.717, | |
| "eval_steps_per_second": 4.253, | |
| "step": 1475 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 59.0, | |
| "step": 1475 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "learning_rate": 0.00025, | |
| "loss": 0.5347, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "eval_accuracy": 0.63, | |
| "eval_loss": 0.41578900814056396, | |
| "eval_runtime": 3.0637, | |
| "eval_samples_per_second": 32.641, | |
| "eval_steps_per_second": 4.243, | |
| "step": 1500 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 60.0, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 61.0, | |
| "eval_accuracy": 0.62, | |
| "eval_loss": 0.41476428508758545, | |
| "eval_runtime": 3.0578, | |
| "eval_samples_per_second": 32.703, | |
| "eval_steps_per_second": 4.251, | |
| "step": 1525 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 61.0, | |
| "step": 1525 | |
| }, | |
| { | |
| "epoch": 62.0, | |
| "eval_accuracy": 0.6, | |
| "eval_loss": 0.41465869545936584, | |
| "eval_runtime": 3.0637, | |
| "eval_samples_per_second": 32.64, | |
| "eval_steps_per_second": 4.243, | |
| "step": 1550 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 62.0, | |
| "step": 1550 | |
| }, | |
| { | |
| "epoch": 63.0, | |
| "eval_accuracy": 0.64, | |
| "eval_loss": 0.41527068614959717, | |
| "eval_runtime": 3.0607, | |
| "eval_samples_per_second": 32.672, | |
| "eval_steps_per_second": 4.247, | |
| "step": 1575 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 63.0, | |
| "step": 1575 | |
| }, | |
| { | |
| "epoch": 64.0, | |
| "eval_accuracy": 0.63, | |
| "eval_loss": 0.41556769609451294, | |
| "eval_runtime": 3.0628, | |
| "eval_samples_per_second": 32.65, | |
| "eval_steps_per_second": 4.244, | |
| "step": 1600 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 64.0, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 65.0, | |
| "eval_accuracy": 0.64, | |
| "eval_loss": 0.4151536226272583, | |
| "eval_runtime": 3.0628, | |
| "eval_samples_per_second": 32.65, | |
| "eval_steps_per_second": 4.245, | |
| "step": 1625 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 65.0, | |
| "step": 1625 | |
| }, | |
| { | |
| "epoch": 66.0, | |
| "eval_accuracy": 0.64, | |
| "eval_loss": 0.4146164655685425, | |
| "eval_runtime": 3.0648, | |
| "eval_samples_per_second": 32.629, | |
| "eval_steps_per_second": 4.242, | |
| "step": 1650 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 66.0, | |
| "step": 1650 | |
| }, | |
| { | |
| "epoch": 67.0, | |
| "eval_accuracy": 0.64, | |
| "eval_loss": 0.4151190221309662, | |
| "eval_runtime": 3.0643, | |
| "eval_samples_per_second": 32.634, | |
| "eval_steps_per_second": 4.242, | |
| "step": 1675 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 67.0, | |
| "step": 1675 | |
| }, | |
| { | |
| "epoch": 68.0, | |
| "eval_accuracy": 0.61, | |
| "eval_loss": 0.41448092460632324, | |
| "eval_runtime": 3.0668, | |
| "eval_samples_per_second": 32.607, | |
| "eval_steps_per_second": 4.239, | |
| "step": 1700 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 68.0, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 69.0, | |
| "eval_accuracy": 0.61, | |
| "eval_loss": 0.41525405645370483, | |
| "eval_runtime": 3.0657, | |
| "eval_samples_per_second": 32.618, | |
| "eval_steps_per_second": 4.24, | |
| "step": 1725 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 69.0, | |
| "step": 1725 | |
| }, | |
| { | |
| "epoch": 70.0, | |
| "eval_accuracy": 0.64, | |
| "eval_loss": 0.4146501123905182, | |
| "eval_runtime": 3.0643, | |
| "eval_samples_per_second": 32.633, | |
| "eval_steps_per_second": 4.242, | |
| "step": 1750 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 70.0, | |
| "step": 1750 | |
| }, | |
| { | |
| "epoch": 71.0, | |
| "eval_accuracy": 0.64, | |
| "eval_loss": 0.4146224558353424, | |
| "eval_runtime": 3.0657, | |
| "eval_samples_per_second": 32.619, | |
| "eval_steps_per_second": 4.24, | |
| "step": 1775 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 71.0, | |
| "step": 1775 | |
| }, | |
| { | |
| "epoch": 72.0, | |
| "eval_accuracy": 0.62, | |
| "eval_loss": 0.41336506605148315, | |
| "eval_runtime": 3.068, | |
| "eval_samples_per_second": 32.595, | |
| "eval_steps_per_second": 4.237, | |
| "step": 1800 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 72.0, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 73.0, | |
| "eval_accuracy": 0.63, | |
| "eval_loss": 0.41397038102149963, | |
| "eval_runtime": 3.0653, | |
| "eval_samples_per_second": 32.624, | |
| "eval_steps_per_second": 4.241, | |
| "step": 1825 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 73.0, | |
| "step": 1825 | |
| }, | |
| { | |
| "epoch": 74.0, | |
| "eval_accuracy": 0.64, | |
| "eval_loss": 0.4141198694705963, | |
| "eval_runtime": 3.0676, | |
| "eval_samples_per_second": 32.599, | |
| "eval_steps_per_second": 4.238, | |
| "step": 1850 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 74.0, | |
| "step": 1850 | |
| }, | |
| { | |
| "epoch": 75.0, | |
| "eval_accuracy": 0.63, | |
| "eval_loss": 0.41505852341651917, | |
| "eval_runtime": 3.0673, | |
| "eval_samples_per_second": 32.602, | |
| "eval_steps_per_second": 4.238, | |
| "step": 1875 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 75.0, | |
| "step": 1875 | |
| }, | |
| { | |
| "epoch": 76.0, | |
| "eval_accuracy": 0.62, | |
| "eval_loss": 0.4149923622608185, | |
| "eval_runtime": 3.0651, | |
| "eval_samples_per_second": 32.625, | |
| "eval_steps_per_second": 4.241, | |
| "step": 1900 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 76.0, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 77.0, | |
| "eval_accuracy": 0.61, | |
| "eval_loss": 0.41483086347579956, | |
| "eval_runtime": 3.0669, | |
| "eval_samples_per_second": 32.606, | |
| "eval_steps_per_second": 4.239, | |
| "step": 1925 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 77.0, | |
| "step": 1925 | |
| }, | |
| { | |
| "epoch": 78.0, | |
| "eval_accuracy": 0.62, | |
| "eval_loss": 0.41491347551345825, | |
| "eval_runtime": 3.069, | |
| "eval_samples_per_second": 32.584, | |
| "eval_steps_per_second": 4.236, | |
| "step": 1950 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 78.0, | |
| "step": 1950 | |
| }, | |
| { | |
| "epoch": 79.0, | |
| "eval_accuracy": 0.63, | |
| "eval_loss": 0.4150215983390808, | |
| "eval_runtime": 3.0645, | |
| "eval_samples_per_second": 32.632, | |
| "eval_steps_per_second": 4.242, | |
| "step": 1975 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 79.0, | |
| "step": 1975 | |
| }, | |
| { | |
| "epoch": 80.0, | |
| "learning_rate": 0.0, | |
| "loss": 0.5285, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 80.0, | |
| "eval_accuracy": 0.63, | |
| "eval_loss": 0.4149799048900604, | |
| "eval_runtime": 3.0687, | |
| "eval_samples_per_second": 32.587, | |
| "eval_steps_per_second": 4.236, | |
| "step": 2000 | |
| }, | |
| { | |
| "best_epoch": 11, | |
| "best_eval_accuracy": 0.67, | |
| "epoch": 80.0, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 80.0, | |
| "step": 2000, | |
| "total_flos": 2.9821702864896e+16, | |
| "train_loss": 0.5345863189697265, | |
| "train_runtime": 1637.4299, | |
| "train_samples_per_second": 19.543, | |
| "train_steps_per_second": 1.221 | |
| } | |
| ], | |
| "max_steps": 2000, | |
| "num_train_epochs": 80, | |
| "total_flos": 2.9821702864896e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |