| { | |
| "best_metric": 0.9899861346479741, | |
| "best_model_checkpoint": "deit-base-patch16-224-finetuned-lora-medmnistv2/checkpoint-4324", | |
| "epoch": 9.990749306197966, | |
| "eval_steps": 500, | |
| "global_step": 5400, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.02, | |
| "grad_norm": 2.755105972290039, | |
| "learning_rate": 0.004990740740740741, | |
| "loss": 1.8298, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "grad_norm": 3.729515790939331, | |
| "learning_rate": 0.004981481481481482, | |
| "loss": 1.2318, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "grad_norm": 1.507834792137146, | |
| "learning_rate": 0.0049722222222222225, | |
| "loss": 1.0656, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "grad_norm": 2.6946210861206055, | |
| "learning_rate": 0.004962962962962963, | |
| "loss": 1.0045, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "grad_norm": 1.5376859903335571, | |
| "learning_rate": 0.004953703703703703, | |
| "loss": 0.952, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "grad_norm": 1.783308982849121, | |
| "learning_rate": 0.004944444444444445, | |
| "loss": 0.808, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "grad_norm": 2.132023811340332, | |
| "learning_rate": 0.004935185185185186, | |
| "loss": 0.7731, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "grad_norm": 1.7192047834396362, | |
| "learning_rate": 0.004925925925925926, | |
| "loss": 0.8522, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "grad_norm": 1.745439052581787, | |
| "learning_rate": 0.004916666666666666, | |
| "loss": 0.7773, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "grad_norm": 1.608622670173645, | |
| "learning_rate": 0.004907407407407408, | |
| "loss": 0.7742, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 1.5263983011245728, | |
| "learning_rate": 0.004898148148148148, | |
| "loss": 0.8207, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "grad_norm": 1.6577465534210205, | |
| "learning_rate": 0.004888888888888889, | |
| "loss": 0.7417, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "grad_norm": 2.3107540607452393, | |
| "learning_rate": 0.00487962962962963, | |
| "loss": 0.7652, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "grad_norm": 1.8946397304534912, | |
| "learning_rate": 0.00487037037037037, | |
| "loss": 0.763, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "grad_norm": 2.175830125808716, | |
| "learning_rate": 0.004861111111111111, | |
| "loss": 0.7303, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "grad_norm": 1.8831381797790527, | |
| "learning_rate": 0.004851851851851852, | |
| "loss": 0.7505, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "grad_norm": 2.2608139514923096, | |
| "learning_rate": 0.004842592592592593, | |
| "loss": 0.6704, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "grad_norm": 1.5122900009155273, | |
| "learning_rate": 0.004833333333333334, | |
| "loss": 0.7428, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "grad_norm": 1.939324975013733, | |
| "learning_rate": 0.004824074074074074, | |
| "loss": 0.7112, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "grad_norm": 2.1237051486968994, | |
| "learning_rate": 0.004814814814814814, | |
| "loss": 0.7419, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "grad_norm": 1.0236401557922363, | |
| "learning_rate": 0.004805555555555556, | |
| "loss": 0.6617, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "grad_norm": 1.503143310546875, | |
| "learning_rate": 0.004796296296296297, | |
| "loss": 0.7201, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.43, | |
| "grad_norm": 1.937041163444519, | |
| "learning_rate": 0.004787037037037037, | |
| "loss": 0.6503, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "grad_norm": 1.2516043186187744, | |
| "learning_rate": 0.004777777777777778, | |
| "loss": 0.6473, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "grad_norm": 2.2114853858947754, | |
| "learning_rate": 0.004768518518518518, | |
| "loss": 0.6475, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "grad_norm": 1.8521231412887573, | |
| "learning_rate": 0.004759259259259259, | |
| "loss": 0.6729, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "grad_norm": 1.599143147468567, | |
| "learning_rate": 0.00475, | |
| "loss": 0.6437, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "grad_norm": 1.5192047357559204, | |
| "learning_rate": 0.004740740740740741, | |
| "loss": 0.6731, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "grad_norm": 1.874036431312561, | |
| "learning_rate": 0.0047314814814814815, | |
| "loss": 0.707, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "grad_norm": 1.582754135131836, | |
| "learning_rate": 0.004722222222222222, | |
| "loss": 0.6477, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "grad_norm": 1.7915743589401245, | |
| "learning_rate": 0.004712962962962963, | |
| "loss": 0.6226, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "grad_norm": 2.2843360900878906, | |
| "learning_rate": 0.004703703703703704, | |
| "loss": 0.7287, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "grad_norm": 1.8337290287017822, | |
| "learning_rate": 0.004694444444444445, | |
| "loss": 0.652, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "grad_norm": 1.7287871837615967, | |
| "learning_rate": 0.0046851851851851855, | |
| "loss": 0.5503, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "grad_norm": 1.7953327894210815, | |
| "learning_rate": 0.004675925925925926, | |
| "loss": 0.5608, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.67, | |
| "grad_norm": 3.0038208961486816, | |
| "learning_rate": 0.004666666666666667, | |
| "loss": 0.7144, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "grad_norm": 1.8996288776397705, | |
| "learning_rate": 0.004657407407407408, | |
| "loss": 0.6965, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "grad_norm": 3.314239740371704, | |
| "learning_rate": 0.004648148148148148, | |
| "loss": 0.7012, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "grad_norm": 2.629176139831543, | |
| "learning_rate": 0.004639814814814815, | |
| "loss": 0.6977, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 0.74, | |
| "grad_norm": 1.343112826347351, | |
| "learning_rate": 0.004630555555555555, | |
| "loss": 0.7257, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "grad_norm": 1.4948642253875732, | |
| "learning_rate": 0.004621296296296296, | |
| "loss": 0.7244, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "grad_norm": 2.248868942260742, | |
| "learning_rate": 0.004612037037037038, | |
| "loss": 0.6938, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "grad_norm": 1.4094672203063965, | |
| "learning_rate": 0.004602777777777778, | |
| "loss": 0.6338, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "grad_norm": 1.7461600303649902, | |
| "learning_rate": 0.0045935185185185185, | |
| "loss": 0.623, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "grad_norm": 1.9258304834365845, | |
| "learning_rate": 0.004584259259259259, | |
| "loss": 0.6681, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "grad_norm": 2.1258721351623535, | |
| "learning_rate": 0.004575, | |
| "loss": 0.6885, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "grad_norm": 1.852216362953186, | |
| "learning_rate": 0.004565740740740741, | |
| "loss": 0.6815, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "grad_norm": 2.523413896560669, | |
| "learning_rate": 0.004556481481481482, | |
| "loss": 0.6267, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "grad_norm": 2.133388042449951, | |
| "learning_rate": 0.0045472222222222225, | |
| "loss": 0.6133, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "grad_norm": 2.732682228088379, | |
| "learning_rate": 0.004537962962962963, | |
| "loss": 0.7924, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "grad_norm": 1.4026442766189575, | |
| "learning_rate": 0.004528703703703704, | |
| "loss": 0.5851, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "grad_norm": 1.5229674577713013, | |
| "learning_rate": 0.004519444444444444, | |
| "loss": 0.6732, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "grad_norm": 2.2832190990448, | |
| "learning_rate": 0.004510185185185186, | |
| "loss": 0.6453, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 1.637460708618164, | |
| "learning_rate": 0.0045009259259259264, | |
| "loss": 0.5849, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.9442304729625636, | |
| "eval_f1": 0.9284990016049455, | |
| "eval_loss": 0.18415337800979614, | |
| "eval_precision": 0.9449212426032028, | |
| "eval_recall": 0.92677489589942, | |
| "eval_runtime": 53.3063, | |
| "eval_samples_per_second": 121.768, | |
| "eval_steps_per_second": 7.616, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "grad_norm": 1.7663180828094482, | |
| "learning_rate": 0.004491666666666666, | |
| "loss": 0.6677, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "grad_norm": 1.3648691177368164, | |
| "learning_rate": 0.004482407407407407, | |
| "loss": 0.6105, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "grad_norm": 1.8574776649475098, | |
| "learning_rate": 0.004473148148148149, | |
| "loss": 0.6633, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "grad_norm": 2.4903650283813477, | |
| "learning_rate": 0.004463888888888889, | |
| "loss": 0.5867, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "grad_norm": 1.7570849657058716, | |
| "learning_rate": 0.0044546296296296296, | |
| "loss": 0.6011, | |
| "step": 590 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "grad_norm": 1.796229600906372, | |
| "learning_rate": 0.00444537037037037, | |
| "loss": 0.565, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 1.13, | |
| "grad_norm": 1.2062430381774902, | |
| "learning_rate": 0.004436111111111111, | |
| "loss": 0.6809, | |
| "step": 610 | |
| }, | |
| { | |
| "epoch": 1.15, | |
| "grad_norm": 1.641988754272461, | |
| "learning_rate": 0.004426851851851852, | |
| "loss": 0.6778, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "grad_norm": 2.171339988708496, | |
| "learning_rate": 0.004417592592592593, | |
| "loss": 0.6091, | |
| "step": 630 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "grad_norm": 1.634817123413086, | |
| "learning_rate": 0.0044083333333333335, | |
| "loss": 0.5903, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "grad_norm": 1.8555738925933838, | |
| "learning_rate": 0.004399074074074074, | |
| "loss": 0.6029, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "grad_norm": 1.2326161861419678, | |
| "learning_rate": 0.004389814814814815, | |
| "loss": 0.6358, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "grad_norm": 1.5019110441207886, | |
| "learning_rate": 0.004380555555555555, | |
| "loss": 0.6457, | |
| "step": 670 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "grad_norm": 2.464613199234009, | |
| "learning_rate": 0.004371296296296297, | |
| "loss": 0.6165, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "grad_norm": 1.4740674495697021, | |
| "learning_rate": 0.0043620370370370375, | |
| "loss": 0.6324, | |
| "step": 690 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "grad_norm": 2.2495017051696777, | |
| "learning_rate": 0.0043527777777777775, | |
| "loss": 0.6903, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "grad_norm": 1.0371023416519165, | |
| "learning_rate": 0.004343518518518519, | |
| "loss": 0.7259, | |
| "step": 710 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "grad_norm": 1.4419306516647339, | |
| "learning_rate": 0.004334259259259259, | |
| "loss": 0.5841, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "grad_norm": 2.1435110569000244, | |
| "learning_rate": 0.004325, | |
| "loss": 0.5803, | |
| "step": 730 | |
| }, | |
| { | |
| "epoch": 1.37, | |
| "grad_norm": 1.697944164276123, | |
| "learning_rate": 0.004315740740740741, | |
| "loss": 0.5959, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "grad_norm": 2.058931589126587, | |
| "learning_rate": 0.0043064814814814814, | |
| "loss": 0.619, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 1.41, | |
| "grad_norm": 1.3956432342529297, | |
| "learning_rate": 0.004297222222222222, | |
| "loss": 0.6453, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 1.42, | |
| "grad_norm": 1.9578568935394287, | |
| "learning_rate": 0.004287962962962963, | |
| "loss": 0.5163, | |
| "step": 770 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "grad_norm": 2.150716781616211, | |
| "learning_rate": 0.004278703703703704, | |
| "loss": 0.6397, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "grad_norm": 2.469938278198242, | |
| "learning_rate": 0.004269444444444445, | |
| "loss": 0.6264, | |
| "step": 790 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "grad_norm": 2.8132483959198, | |
| "learning_rate": 0.004260185185185185, | |
| "loss": 0.574, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "grad_norm": 1.2079416513442993, | |
| "learning_rate": 0.004250925925925926, | |
| "loss": 0.5735, | |
| "step": 810 | |
| }, | |
| { | |
| "epoch": 1.52, | |
| "grad_norm": 1.7141121625900269, | |
| "learning_rate": 0.004241666666666667, | |
| "loss": 0.6086, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "grad_norm": 1.2220849990844727, | |
| "learning_rate": 0.004232407407407408, | |
| "loss": 0.6525, | |
| "step": 830 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "grad_norm": 2.2290451526641846, | |
| "learning_rate": 0.004223148148148149, | |
| "loss": 0.6515, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "grad_norm": 1.285662293434143, | |
| "learning_rate": 0.0042138888888888885, | |
| "loss": 0.6119, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "grad_norm": 1.6702948808670044, | |
| "learning_rate": 0.00420462962962963, | |
| "loss": 0.5591, | |
| "step": 860 | |
| }, | |
| { | |
| "epoch": 1.61, | |
| "grad_norm": 1.3915163278579712, | |
| "learning_rate": 0.00419537037037037, | |
| "loss": 0.5742, | |
| "step": 870 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "grad_norm": 1.0722817182540894, | |
| "learning_rate": 0.004186111111111111, | |
| "loss": 0.5443, | |
| "step": 880 | |
| }, | |
| { | |
| "epoch": 1.65, | |
| "grad_norm": 1.2701308727264404, | |
| "learning_rate": 0.004176851851851852, | |
| "loss": 0.5407, | |
| "step": 890 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "grad_norm": 2.4829461574554443, | |
| "learning_rate": 0.0041675925925925925, | |
| "loss": 0.617, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "grad_norm": 1.6107633113861084, | |
| "learning_rate": 0.004158333333333333, | |
| "loss": 0.6352, | |
| "step": 910 | |
| }, | |
| { | |
| "epoch": 1.7, | |
| "grad_norm": 1.6750290393829346, | |
| "learning_rate": 0.004149074074074074, | |
| "loss": 0.6186, | |
| "step": 920 | |
| }, | |
| { | |
| "epoch": 1.72, | |
| "grad_norm": 3.0813207626342773, | |
| "learning_rate": 0.004139814814814815, | |
| "loss": 0.6398, | |
| "step": 930 | |
| }, | |
| { | |
| "epoch": 1.74, | |
| "grad_norm": 1.46220862865448, | |
| "learning_rate": 0.004130555555555556, | |
| "loss": 0.6248, | |
| "step": 940 | |
| }, | |
| { | |
| "epoch": 1.76, | |
| "grad_norm": 1.8916534185409546, | |
| "learning_rate": 0.0041212962962962965, | |
| "loss": 0.5828, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 1.78, | |
| "grad_norm": 1.397637128829956, | |
| "learning_rate": 0.004112037037037037, | |
| "loss": 0.6127, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "grad_norm": 1.5524698495864868, | |
| "learning_rate": 0.004102777777777778, | |
| "loss": 0.5434, | |
| "step": 970 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "grad_norm": 1.357723355293274, | |
| "learning_rate": 0.004093518518518519, | |
| "loss": 0.565, | |
| "step": 980 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "grad_norm": 2.0358312129974365, | |
| "learning_rate": 0.004084259259259259, | |
| "loss": 0.6351, | |
| "step": 990 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "grad_norm": 2.148568868637085, | |
| "learning_rate": 0.004075, | |
| "loss": 0.6259, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "grad_norm": 1.5996747016906738, | |
| "learning_rate": 0.004065740740740741, | |
| "loss": 0.6821, | |
| "step": 1010 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "grad_norm": 2.8041980266571045, | |
| "learning_rate": 0.004056481481481481, | |
| "loss": 0.6141, | |
| "step": 1020 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "grad_norm": 2.5319840908050537, | |
| "learning_rate": 0.004047222222222222, | |
| "loss": 0.5978, | |
| "step": 1030 | |
| }, | |
| { | |
| "epoch": 1.92, | |
| "grad_norm": 1.356850266456604, | |
| "learning_rate": 0.004037962962962964, | |
| "loss": 0.6444, | |
| "step": 1040 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "grad_norm": 1.4726742506027222, | |
| "learning_rate": 0.004028703703703704, | |
| "loss": 0.5937, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "grad_norm": 2.525775194168091, | |
| "learning_rate": 0.004019444444444444, | |
| "loss": 0.5609, | |
| "step": 1060 | |
| }, | |
| { | |
| "epoch": 1.98, | |
| "grad_norm": 2.2801449298858643, | |
| "learning_rate": 0.004010185185185185, | |
| "loss": 0.6315, | |
| "step": 1070 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 2.0325303077697754, | |
| "learning_rate": 0.004000925925925926, | |
| "loss": 0.6494, | |
| "step": 1080 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.9499306732398706, | |
| "eval_f1": 0.9509024323746281, | |
| "eval_loss": 0.14330759644508362, | |
| "eval_precision": 0.9538743946507812, | |
| "eval_recall": 0.9510137440302636, | |
| "eval_runtime": 53.345, | |
| "eval_samples_per_second": 121.68, | |
| "eval_steps_per_second": 7.611, | |
| "step": 1081 | |
| }, | |
| { | |
| "epoch": 2.02, | |
| "grad_norm": 1.2894580364227295, | |
| "learning_rate": 0.003991666666666667, | |
| "loss": 0.5896, | |
| "step": 1090 | |
| }, | |
| { | |
| "epoch": 2.04, | |
| "grad_norm": 1.835950255393982, | |
| "learning_rate": 0.003982407407407408, | |
| "loss": 0.6027, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 2.05, | |
| "grad_norm": 2.6905369758605957, | |
| "learning_rate": 0.0039731481481481475, | |
| "loss": 0.5896, | |
| "step": 1110 | |
| }, | |
| { | |
| "epoch": 2.07, | |
| "grad_norm": 1.3313945531845093, | |
| "learning_rate": 0.003963888888888889, | |
| "loss": 0.5735, | |
| "step": 1120 | |
| }, | |
| { | |
| "epoch": 2.09, | |
| "grad_norm": 1.584228754043579, | |
| "learning_rate": 0.00395462962962963, | |
| "loss": 0.5194, | |
| "step": 1130 | |
| }, | |
| { | |
| "epoch": 2.11, | |
| "grad_norm": 1.3231537342071533, | |
| "learning_rate": 0.00394537037037037, | |
| "loss": 0.556, | |
| "step": 1140 | |
| }, | |
| { | |
| "epoch": 2.13, | |
| "grad_norm": 2.2847185134887695, | |
| "learning_rate": 0.003936111111111112, | |
| "loss": 0.5564, | |
| "step": 1150 | |
| }, | |
| { | |
| "epoch": 2.15, | |
| "grad_norm": 1.5955736637115479, | |
| "learning_rate": 0.003926851851851852, | |
| "loss": 0.6138, | |
| "step": 1160 | |
| }, | |
| { | |
| "epoch": 2.16, | |
| "grad_norm": 1.2592884302139282, | |
| "learning_rate": 0.003917592592592592, | |
| "loss": 0.6048, | |
| "step": 1170 | |
| }, | |
| { | |
| "epoch": 2.18, | |
| "grad_norm": 2.0293960571289062, | |
| "learning_rate": 0.003908333333333333, | |
| "loss": 0.5609, | |
| "step": 1180 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "grad_norm": 1.5888597965240479, | |
| "learning_rate": 0.0038990740740740743, | |
| "loss": 0.6054, | |
| "step": 1190 | |
| }, | |
| { | |
| "epoch": 2.22, | |
| "grad_norm": 2.2508180141448975, | |
| "learning_rate": 0.003889814814814815, | |
| "loss": 0.596, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 2.24, | |
| "grad_norm": 1.29166841506958, | |
| "learning_rate": 0.0038805555555555555, | |
| "loss": 0.6829, | |
| "step": 1210 | |
| }, | |
| { | |
| "epoch": 2.26, | |
| "grad_norm": 1.7769325971603394, | |
| "learning_rate": 0.0038712962962962967, | |
| "loss": 0.6646, | |
| "step": 1220 | |
| }, | |
| { | |
| "epoch": 2.28, | |
| "grad_norm": 1.0019413232803345, | |
| "learning_rate": 0.003862037037037037, | |
| "loss": 0.563, | |
| "step": 1230 | |
| }, | |
| { | |
| "epoch": 2.29, | |
| "grad_norm": 1.9900081157684326, | |
| "learning_rate": 0.003852777777777778, | |
| "loss": 0.5392, | |
| "step": 1240 | |
| }, | |
| { | |
| "epoch": 2.31, | |
| "grad_norm": 2.0797948837280273, | |
| "learning_rate": 0.0038435185185185182, | |
| "loss": 0.5434, | |
| "step": 1250 | |
| }, | |
| { | |
| "epoch": 2.33, | |
| "grad_norm": 1.445152997970581, | |
| "learning_rate": 0.0038342592592592595, | |
| "loss": 0.567, | |
| "step": 1260 | |
| }, | |
| { | |
| "epoch": 2.35, | |
| "grad_norm": 1.6301777362823486, | |
| "learning_rate": 0.0038250000000000003, | |
| "loss": 0.6221, | |
| "step": 1270 | |
| }, | |
| { | |
| "epoch": 2.37, | |
| "grad_norm": 1.7782893180847168, | |
| "learning_rate": 0.0038157407407407406, | |
| "loss": 0.5987, | |
| "step": 1280 | |
| }, | |
| { | |
| "epoch": 2.39, | |
| "grad_norm": 1.4305975437164307, | |
| "learning_rate": 0.0038064814814814814, | |
| "loss": 0.5985, | |
| "step": 1290 | |
| }, | |
| { | |
| "epoch": 2.41, | |
| "grad_norm": 1.4855763912200928, | |
| "learning_rate": 0.0037972222222222227, | |
| "loss": 0.608, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 2.42, | |
| "grad_norm": 1.2296168804168701, | |
| "learning_rate": 0.003787962962962963, | |
| "loss": 0.6003, | |
| "step": 1310 | |
| }, | |
| { | |
| "epoch": 2.44, | |
| "grad_norm": 1.654550313949585, | |
| "learning_rate": 0.003778703703703704, | |
| "loss": 0.5832, | |
| "step": 1320 | |
| }, | |
| { | |
| "epoch": 2.46, | |
| "grad_norm": 1.3498139381408691, | |
| "learning_rate": 0.0037694444444444446, | |
| "loss": 0.5549, | |
| "step": 1330 | |
| }, | |
| { | |
| "epoch": 2.48, | |
| "grad_norm": 1.7986209392547607, | |
| "learning_rate": 0.0037601851851851854, | |
| "loss": 0.6364, | |
| "step": 1340 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "grad_norm": 2.0304336547851562, | |
| "learning_rate": 0.0037509259259259258, | |
| "loss": 0.5549, | |
| "step": 1350 | |
| }, | |
| { | |
| "epoch": 2.52, | |
| "grad_norm": 1.7919527292251587, | |
| "learning_rate": 0.0037416666666666666, | |
| "loss": 0.6075, | |
| "step": 1360 | |
| }, | |
| { | |
| "epoch": 2.53, | |
| "grad_norm": 0.9223549365997314, | |
| "learning_rate": 0.003732407407407408, | |
| "loss": 0.5013, | |
| "step": 1370 | |
| }, | |
| { | |
| "epoch": 2.55, | |
| "grad_norm": 1.9208143949508667, | |
| "learning_rate": 0.003723148148148148, | |
| "loss": 0.596, | |
| "step": 1380 | |
| }, | |
| { | |
| "epoch": 2.57, | |
| "grad_norm": 1.878339171409607, | |
| "learning_rate": 0.003713888888888889, | |
| "loss": 0.5878, | |
| "step": 1390 | |
| }, | |
| { | |
| "epoch": 2.59, | |
| "grad_norm": 1.3851909637451172, | |
| "learning_rate": 0.0037046296296296293, | |
| "loss": 0.5433, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 2.61, | |
| "grad_norm": 1.551100730895996, | |
| "learning_rate": 0.0036953703703703706, | |
| "loss": 0.5827, | |
| "step": 1410 | |
| }, | |
| { | |
| "epoch": 2.63, | |
| "grad_norm": 1.2063732147216797, | |
| "learning_rate": 0.0036861111111111114, | |
| "loss": 0.5331, | |
| "step": 1420 | |
| }, | |
| { | |
| "epoch": 2.65, | |
| "grad_norm": 1.514872431755066, | |
| "learning_rate": 0.0036768518518518517, | |
| "loss": 0.548, | |
| "step": 1430 | |
| }, | |
| { | |
| "epoch": 2.66, | |
| "grad_norm": 1.643267035484314, | |
| "learning_rate": 0.003667592592592593, | |
| "loss": 0.598, | |
| "step": 1440 | |
| }, | |
| { | |
| "epoch": 2.68, | |
| "grad_norm": 1.5592392683029175, | |
| "learning_rate": 0.0036583333333333333, | |
| "loss": 0.4851, | |
| "step": 1450 | |
| }, | |
| { | |
| "epoch": 2.7, | |
| "grad_norm": 1.1929229497909546, | |
| "learning_rate": 0.003649074074074074, | |
| "loss": 0.5362, | |
| "step": 1460 | |
| }, | |
| { | |
| "epoch": 2.72, | |
| "grad_norm": 1.610229253768921, | |
| "learning_rate": 0.0036398148148148145, | |
| "loss": 0.5826, | |
| "step": 1470 | |
| }, | |
| { | |
| "epoch": 2.74, | |
| "grad_norm": 1.2494343519210815, | |
| "learning_rate": 0.0036305555555555557, | |
| "loss": 0.5206, | |
| "step": 1480 | |
| }, | |
| { | |
| "epoch": 2.76, | |
| "grad_norm": 1.1670695543289185, | |
| "learning_rate": 0.0036212962962962965, | |
| "loss": 0.569, | |
| "step": 1490 | |
| }, | |
| { | |
| "epoch": 2.78, | |
| "grad_norm": 1.3939517736434937, | |
| "learning_rate": 0.003612037037037037, | |
| "loss": 0.5018, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 2.79, | |
| "grad_norm": 1.3553017377853394, | |
| "learning_rate": 0.0036027777777777777, | |
| "loss": 0.5167, | |
| "step": 1510 | |
| }, | |
| { | |
| "epoch": 2.81, | |
| "grad_norm": 1.3546302318572998, | |
| "learning_rate": 0.003593518518518519, | |
| "loss": 0.4979, | |
| "step": 1520 | |
| }, | |
| { | |
| "epoch": 2.83, | |
| "grad_norm": 1.2396551370620728, | |
| "learning_rate": 0.0035842592592592593, | |
| "loss": 0.4837, | |
| "step": 1530 | |
| }, | |
| { | |
| "epoch": 2.85, | |
| "grad_norm": 1.103031873703003, | |
| "learning_rate": 0.003575, | |
| "loss": 0.6083, | |
| "step": 1540 | |
| }, | |
| { | |
| "epoch": 2.87, | |
| "grad_norm": 1.642699122428894, | |
| "learning_rate": 0.003565740740740741, | |
| "loss": 0.5832, | |
| "step": 1550 | |
| }, | |
| { | |
| "epoch": 2.89, | |
| "grad_norm": 1.550116777420044, | |
| "learning_rate": 0.0035564814814814816, | |
| "loss": 0.479, | |
| "step": 1560 | |
| }, | |
| { | |
| "epoch": 2.9, | |
| "grad_norm": 1.745978832244873, | |
| "learning_rate": 0.0035472222222222224, | |
| "loss": 0.5643, | |
| "step": 1570 | |
| }, | |
| { | |
| "epoch": 2.92, | |
| "grad_norm": 0.9975535273551941, | |
| "learning_rate": 0.003537962962962963, | |
| "loss": 0.5837, | |
| "step": 1580 | |
| }, | |
| { | |
| "epoch": 2.94, | |
| "grad_norm": 1.8515207767486572, | |
| "learning_rate": 0.003528703703703704, | |
| "loss": 0.5637, | |
| "step": 1590 | |
| }, | |
| { | |
| "epoch": 2.96, | |
| "grad_norm": 2.022219181060791, | |
| "learning_rate": 0.0035194444444444444, | |
| "loss": 0.5121, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 2.98, | |
| "grad_norm": 1.8385446071624756, | |
| "learning_rate": 0.003510185185185185, | |
| "loss": 0.5244, | |
| "step": 1610 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 1.8141658306121826, | |
| "learning_rate": 0.0035009259259259256, | |
| "loss": 0.6059, | |
| "step": 1620 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.9562471113849946, | |
| "eval_f1": 0.9592862858808702, | |
| "eval_loss": 0.1171223372220993, | |
| "eval_precision": 0.9658949301313363, | |
| "eval_recall": 0.9569053041890571, | |
| "eval_runtime": 53.6538, | |
| "eval_samples_per_second": 120.979, | |
| "eval_steps_per_second": 7.567, | |
| "step": 1621 | |
| }, | |
| { | |
| "epoch": 3.02, | |
| "grad_norm": 1.811785340309143, | |
| "learning_rate": 0.003491666666666667, | |
| "loss": 0.5229, | |
| "step": 1630 | |
| }, | |
| { | |
| "epoch": 3.03, | |
| "grad_norm": 0.8801301717758179, | |
| "learning_rate": 0.0034824074074074076, | |
| "loss": 0.5735, | |
| "step": 1640 | |
| }, | |
| { | |
| "epoch": 3.05, | |
| "grad_norm": 1.5100030899047852, | |
| "learning_rate": 0.003473148148148148, | |
| "loss": 0.5581, | |
| "step": 1650 | |
| }, | |
| { | |
| "epoch": 3.07, | |
| "grad_norm": 1.7307904958724976, | |
| "learning_rate": 0.003463888888888889, | |
| "loss": 0.4894, | |
| "step": 1660 | |
| }, | |
| { | |
| "epoch": 3.09, | |
| "grad_norm": 2.264219045639038, | |
| "learning_rate": 0.00345462962962963, | |
| "loss": 0.5689, | |
| "step": 1670 | |
| }, | |
| { | |
| "epoch": 3.11, | |
| "grad_norm": 1.2732802629470825, | |
| "learning_rate": 0.0034453703703703703, | |
| "loss": 0.5168, | |
| "step": 1680 | |
| }, | |
| { | |
| "epoch": 3.13, | |
| "grad_norm": 1.5013095140457153, | |
| "learning_rate": 0.003436111111111111, | |
| "loss": 0.4907, | |
| "step": 1690 | |
| }, | |
| { | |
| "epoch": 3.15, | |
| "grad_norm": 1.617488980293274, | |
| "learning_rate": 0.003426851851851852, | |
| "loss": 0.4795, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 3.16, | |
| "grad_norm": 1.5595793724060059, | |
| "learning_rate": 0.0034175925925925927, | |
| "loss": 0.5816, | |
| "step": 1710 | |
| }, | |
| { | |
| "epoch": 3.18, | |
| "grad_norm": 1.9643666744232178, | |
| "learning_rate": 0.003408333333333333, | |
| "loss": 0.5512, | |
| "step": 1720 | |
| }, | |
| { | |
| "epoch": 3.2, | |
| "grad_norm": 1.1487085819244385, | |
| "learning_rate": 0.003399074074074074, | |
| "loss": 0.5253, | |
| "step": 1730 | |
| }, | |
| { | |
| "epoch": 3.22, | |
| "grad_norm": 1.359946608543396, | |
| "learning_rate": 0.003389814814814815, | |
| "loss": 0.5056, | |
| "step": 1740 | |
| }, | |
| { | |
| "epoch": 3.24, | |
| "grad_norm": 1.0156477689743042, | |
| "learning_rate": 0.0033805555555555555, | |
| "loss": 0.5154, | |
| "step": 1750 | |
| }, | |
| { | |
| "epoch": 3.26, | |
| "grad_norm": 1.1285754442214966, | |
| "learning_rate": 0.0033712962962962963, | |
| "loss": 0.5344, | |
| "step": 1760 | |
| }, | |
| { | |
| "epoch": 3.27, | |
| "grad_norm": 1.5709244012832642, | |
| "learning_rate": 0.0033620370370370375, | |
| "loss": 0.5373, | |
| "step": 1770 | |
| }, | |
| { | |
| "epoch": 3.29, | |
| "grad_norm": 1.4874547719955444, | |
| "learning_rate": 0.003352777777777778, | |
| "loss": 0.4925, | |
| "step": 1780 | |
| }, | |
| { | |
| "epoch": 3.31, | |
| "grad_norm": 2.197540044784546, | |
| "learning_rate": 0.0033435185185185187, | |
| "loss": 0.4636, | |
| "step": 1790 | |
| }, | |
| { | |
| "epoch": 3.33, | |
| "grad_norm": 1.0891751050949097, | |
| "learning_rate": 0.003334259259259259, | |
| "loss": 0.5313, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 3.35, | |
| "grad_norm": 1.4213520288467407, | |
| "learning_rate": 0.0033250000000000003, | |
| "loss": 0.5016, | |
| "step": 1810 | |
| }, | |
| { | |
| "epoch": 3.37, | |
| "grad_norm": 1.420879602432251, | |
| "learning_rate": 0.0033157407407407406, | |
| "loss": 0.4622, | |
| "step": 1820 | |
| }, | |
| { | |
| "epoch": 3.39, | |
| "grad_norm": 0.9189732074737549, | |
| "learning_rate": 0.0033064814814814814, | |
| "loss": 0.5148, | |
| "step": 1830 | |
| }, | |
| { | |
| "epoch": 3.4, | |
| "grad_norm": 1.5656261444091797, | |
| "learning_rate": 0.0032972222222222227, | |
| "loss": 0.4722, | |
| "step": 1840 | |
| }, | |
| { | |
| "epoch": 3.42, | |
| "grad_norm": 1.112702488899231, | |
| "learning_rate": 0.003287962962962963, | |
| "loss": 0.4968, | |
| "step": 1850 | |
| }, | |
| { | |
| "epoch": 3.44, | |
| "grad_norm": 1.58233642578125, | |
| "learning_rate": 0.003278703703703704, | |
| "loss": 0.4366, | |
| "step": 1860 | |
| }, | |
| { | |
| "epoch": 3.46, | |
| "grad_norm": 1.3384062051773071, | |
| "learning_rate": 0.003269444444444444, | |
| "loss": 0.4679, | |
| "step": 1870 | |
| }, | |
| { | |
| "epoch": 3.48, | |
| "grad_norm": 1.0208711624145508, | |
| "learning_rate": 0.0032601851851851854, | |
| "loss": 0.5348, | |
| "step": 1880 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "grad_norm": 0.9358342885971069, | |
| "learning_rate": 0.003250925925925926, | |
| "loss": 0.468, | |
| "step": 1890 | |
| }, | |
| { | |
| "epoch": 3.52, | |
| "grad_norm": 1.3694192171096802, | |
| "learning_rate": 0.0032416666666666666, | |
| "loss": 0.4936, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 3.53, | |
| "grad_norm": 1.218279242515564, | |
| "learning_rate": 0.0032324074074074074, | |
| "loss": 0.5086, | |
| "step": 1910 | |
| }, | |
| { | |
| "epoch": 3.55, | |
| "grad_norm": 1.1621546745300293, | |
| "learning_rate": 0.0032231481481481486, | |
| "loss": 0.4918, | |
| "step": 1920 | |
| }, | |
| { | |
| "epoch": 3.57, | |
| "grad_norm": 1.2146507501602173, | |
| "learning_rate": 0.003213888888888889, | |
| "loss": 0.488, | |
| "step": 1930 | |
| }, | |
| { | |
| "epoch": 3.59, | |
| "grad_norm": 1.1717473268508911, | |
| "learning_rate": 0.0032046296296296298, | |
| "loss": 0.5438, | |
| "step": 1940 | |
| }, | |
| { | |
| "epoch": 3.61, | |
| "grad_norm": 0.9260009527206421, | |
| "learning_rate": 0.0031953703703703706, | |
| "loss": 0.4683, | |
| "step": 1950 | |
| }, | |
| { | |
| "epoch": 3.63, | |
| "grad_norm": 1.7548483610153198, | |
| "learning_rate": 0.0031861111111111113, | |
| "loss": 0.5116, | |
| "step": 1960 | |
| }, | |
| { | |
| "epoch": 3.64, | |
| "grad_norm": 1.603769302368164, | |
| "learning_rate": 0.0031768518518518517, | |
| "loss": 0.506, | |
| "step": 1970 | |
| }, | |
| { | |
| "epoch": 3.66, | |
| "grad_norm": 1.4770747423171997, | |
| "learning_rate": 0.0031675925925925925, | |
| "loss": 0.4877, | |
| "step": 1980 | |
| }, | |
| { | |
| "epoch": 3.68, | |
| "grad_norm": 1.8213857412338257, | |
| "learning_rate": 0.0031583333333333337, | |
| "loss": 0.5239, | |
| "step": 1990 | |
| }, | |
| { | |
| "epoch": 3.7, | |
| "grad_norm": 1.074977993965149, | |
| "learning_rate": 0.003149074074074074, | |
| "loss": 0.4655, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 3.72, | |
| "grad_norm": 1.3410956859588623, | |
| "learning_rate": 0.003139814814814815, | |
| "loss": 0.4097, | |
| "step": 2010 | |
| }, | |
| { | |
| "epoch": 3.74, | |
| "grad_norm": 0.6797301173210144, | |
| "learning_rate": 0.0031305555555555553, | |
| "loss": 0.5193, | |
| "step": 2020 | |
| }, | |
| { | |
| "epoch": 3.76, | |
| "grad_norm": 1.1780236959457397, | |
| "learning_rate": 0.0031212962962962965, | |
| "loss": 0.438, | |
| "step": 2030 | |
| }, | |
| { | |
| "epoch": 3.77, | |
| "grad_norm": 1.4561818838119507, | |
| "learning_rate": 0.0031120370370370373, | |
| "loss": 0.5156, | |
| "step": 2040 | |
| }, | |
| { | |
| "epoch": 3.79, | |
| "grad_norm": 1.404532790184021, | |
| "learning_rate": 0.0031027777777777777, | |
| "loss": 0.4319, | |
| "step": 2050 | |
| }, | |
| { | |
| "epoch": 3.81, | |
| "grad_norm": 1.453012466430664, | |
| "learning_rate": 0.003093518518518519, | |
| "loss": 0.4678, | |
| "step": 2060 | |
| }, | |
| { | |
| "epoch": 3.83, | |
| "grad_norm": 1.7319668531417847, | |
| "learning_rate": 0.0030842592592592592, | |
| "loss": 0.4567, | |
| "step": 2070 | |
| }, | |
| { | |
| "epoch": 3.85, | |
| "grad_norm": 1.718991994857788, | |
| "learning_rate": 0.003075, | |
| "loss": 0.5631, | |
| "step": 2080 | |
| }, | |
| { | |
| "epoch": 3.87, | |
| "grad_norm": 1.4493403434753418, | |
| "learning_rate": 0.0030657407407407404, | |
| "loss": 0.5046, | |
| "step": 2090 | |
| }, | |
| { | |
| "epoch": 3.89, | |
| "grad_norm": 1.5228378772735596, | |
| "learning_rate": 0.0030564814814814816, | |
| "loss": 0.4583, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 3.9, | |
| "grad_norm": 1.3635989427566528, | |
| "learning_rate": 0.0030472222222222224, | |
| "loss": 0.4678, | |
| "step": 2110 | |
| }, | |
| { | |
| "epoch": 3.92, | |
| "grad_norm": 1.7252169847488403, | |
| "learning_rate": 0.003037962962962963, | |
| "loss": 0.4817, | |
| "step": 2120 | |
| }, | |
| { | |
| "epoch": 3.94, | |
| "grad_norm": 1.4143972396850586, | |
| "learning_rate": 0.0030287037037037036, | |
| "loss": 0.4663, | |
| "step": 2130 | |
| }, | |
| { | |
| "epoch": 3.96, | |
| "grad_norm": 1.108224868774414, | |
| "learning_rate": 0.003019444444444445, | |
| "loss": 0.5028, | |
| "step": 2140 | |
| }, | |
| { | |
| "epoch": 3.98, | |
| "grad_norm": 1.5944609642028809, | |
| "learning_rate": 0.003010185185185185, | |
| "loss": 0.5215, | |
| "step": 2150 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 0.9836990833282471, | |
| "learning_rate": 0.003000925925925926, | |
| "loss": 0.3547, | |
| "step": 2160 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.966569095670929, | |
| "eval_f1": 0.9701817800594627, | |
| "eval_loss": 0.09807376563549042, | |
| "eval_precision": 0.970888445046177, | |
| "eval_recall": 0.9711737953539892, | |
| "eval_runtime": 53.6052, | |
| "eval_samples_per_second": 121.089, | |
| "eval_steps_per_second": 7.574, | |
| "step": 2162 | |
| }, | |
| { | |
| "epoch": 4.01, | |
| "grad_norm": 1.2644659280776978, | |
| "learning_rate": 0.0029916666666666668, | |
| "loss": 0.5066, | |
| "step": 2170 | |
| }, | |
| { | |
| "epoch": 4.03, | |
| "grad_norm": 1.5990442037582397, | |
| "learning_rate": 0.0029824074074074076, | |
| "loss": 0.5394, | |
| "step": 2180 | |
| }, | |
| { | |
| "epoch": 4.05, | |
| "grad_norm": 1.1844220161437988, | |
| "learning_rate": 0.0029731481481481484, | |
| "loss": 0.5361, | |
| "step": 2190 | |
| }, | |
| { | |
| "epoch": 4.07, | |
| "grad_norm": 1.003459095954895, | |
| "learning_rate": 0.0029638888888888887, | |
| "loss": 0.4965, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 4.09, | |
| "grad_norm": 1.5128463506698608, | |
| "learning_rate": 0.00295462962962963, | |
| "loss": 0.4961, | |
| "step": 2210 | |
| }, | |
| { | |
| "epoch": 4.11, | |
| "grad_norm": 1.4107407331466675, | |
| "learning_rate": 0.0029453703703703703, | |
| "loss": 0.4157, | |
| "step": 2220 | |
| }, | |
| { | |
| "epoch": 4.13, | |
| "grad_norm": 1.0188244581222534, | |
| "learning_rate": 0.002936111111111111, | |
| "loss": 0.4571, | |
| "step": 2230 | |
| }, | |
| { | |
| "epoch": 4.14, | |
| "grad_norm": 1.7941489219665527, | |
| "learning_rate": 0.0029268518518518515, | |
| "loss": 0.4037, | |
| "step": 2240 | |
| }, | |
| { | |
| "epoch": 4.16, | |
| "grad_norm": 0.703614354133606, | |
| "learning_rate": 0.0029175925925925927, | |
| "loss": 0.469, | |
| "step": 2250 | |
| }, | |
| { | |
| "epoch": 4.18, | |
| "grad_norm": 1.0244730710983276, | |
| "learning_rate": 0.0029083333333333335, | |
| "loss": 0.446, | |
| "step": 2260 | |
| }, | |
| { | |
| "epoch": 4.2, | |
| "grad_norm": 1.940670132637024, | |
| "learning_rate": 0.002899074074074074, | |
| "loss": 0.4198, | |
| "step": 2270 | |
| }, | |
| { | |
| "epoch": 4.22, | |
| "grad_norm": 1.3189454078674316, | |
| "learning_rate": 0.002889814814814815, | |
| "loss": 0.4627, | |
| "step": 2280 | |
| }, | |
| { | |
| "epoch": 4.24, | |
| "grad_norm": 1.0493321418762207, | |
| "learning_rate": 0.002880555555555556, | |
| "loss": 0.4885, | |
| "step": 2290 | |
| }, | |
| { | |
| "epoch": 4.26, | |
| "grad_norm": 1.0230928659439087, | |
| "learning_rate": 0.0028712962962962963, | |
| "loss": 0.4205, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 4.27, | |
| "grad_norm": 0.7459888458251953, | |
| "learning_rate": 0.002862037037037037, | |
| "loss": 0.4316, | |
| "step": 2310 | |
| }, | |
| { | |
| "epoch": 4.29, | |
| "grad_norm": 1.2074246406555176, | |
| "learning_rate": 0.002852777777777778, | |
| "loss": 0.4352, | |
| "step": 2320 | |
| }, | |
| { | |
| "epoch": 4.31, | |
| "grad_norm": 1.7306902408599854, | |
| "learning_rate": 0.0028435185185185187, | |
| "loss": 0.391, | |
| "step": 2330 | |
| }, | |
| { | |
| "epoch": 4.33, | |
| "grad_norm": 1.4361604452133179, | |
| "learning_rate": 0.002834259259259259, | |
| "loss": 0.4819, | |
| "step": 2340 | |
| }, | |
| { | |
| "epoch": 4.35, | |
| "grad_norm": 1.3152241706848145, | |
| "learning_rate": 0.002825, | |
| "loss": 0.3861, | |
| "step": 2350 | |
| }, | |
| { | |
| "epoch": 4.37, | |
| "grad_norm": 1.6985182762145996, | |
| "learning_rate": 0.002815740740740741, | |
| "loss": 0.4093, | |
| "step": 2360 | |
| }, | |
| { | |
| "epoch": 4.38, | |
| "grad_norm": 1.1082671880722046, | |
| "learning_rate": 0.0028064814814814814, | |
| "loss": 0.5325, | |
| "step": 2370 | |
| }, | |
| { | |
| "epoch": 4.4, | |
| "grad_norm": 1.39676833152771, | |
| "learning_rate": 0.002797222222222222, | |
| "loss": 0.4798, | |
| "step": 2380 | |
| }, | |
| { | |
| "epoch": 4.42, | |
| "grad_norm": 1.0717923641204834, | |
| "learning_rate": 0.0027879629629629634, | |
| "loss": 0.3892, | |
| "step": 2390 | |
| }, | |
| { | |
| "epoch": 4.44, | |
| "grad_norm": 0.82547926902771, | |
| "learning_rate": 0.002778703703703704, | |
| "loss": 0.4563, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 4.46, | |
| "grad_norm": 1.1817727088928223, | |
| "learning_rate": 0.0027694444444444446, | |
| "loss": 0.4213, | |
| "step": 2410 | |
| }, | |
| { | |
| "epoch": 4.48, | |
| "grad_norm": 1.127348780632019, | |
| "learning_rate": 0.002760185185185185, | |
| "loss": 0.4636, | |
| "step": 2420 | |
| }, | |
| { | |
| "epoch": 4.5, | |
| "grad_norm": 1.2709828615188599, | |
| "learning_rate": 0.002750925925925926, | |
| "loss": 0.5099, | |
| "step": 2430 | |
| }, | |
| { | |
| "epoch": 4.51, | |
| "grad_norm": 1.093279242515564, | |
| "learning_rate": 0.0027416666666666666, | |
| "loss": 0.439, | |
| "step": 2440 | |
| }, | |
| { | |
| "epoch": 4.53, | |
| "grad_norm": 0.8145557045936584, | |
| "learning_rate": 0.0027324074074074074, | |
| "loss": 0.4192, | |
| "step": 2450 | |
| }, | |
| { | |
| "epoch": 4.55, | |
| "grad_norm": 1.5339893102645874, | |
| "learning_rate": 0.0027231481481481477, | |
| "loss": 0.4591, | |
| "step": 2460 | |
| }, | |
| { | |
| "epoch": 4.57, | |
| "grad_norm": 1.2502670288085938, | |
| "learning_rate": 0.002713888888888889, | |
| "loss": 0.4177, | |
| "step": 2470 | |
| }, | |
| { | |
| "epoch": 4.59, | |
| "grad_norm": 0.951678991317749, | |
| "learning_rate": 0.0027046296296296297, | |
| "loss": 0.4206, | |
| "step": 2480 | |
| }, | |
| { | |
| "epoch": 4.61, | |
| "grad_norm": 1.7269920110702515, | |
| "learning_rate": 0.00269537037037037, | |
| "loss": 0.4318, | |
| "step": 2490 | |
| }, | |
| { | |
| "epoch": 4.63, | |
| "grad_norm": 1.3369319438934326, | |
| "learning_rate": 0.0026861111111111113, | |
| "loss": 0.3328, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 4.64, | |
| "grad_norm": 1.1424506902694702, | |
| "learning_rate": 0.002676851851851852, | |
| "loss": 0.4531, | |
| "step": 2510 | |
| }, | |
| { | |
| "epoch": 4.66, | |
| "grad_norm": 0.7604424953460693, | |
| "learning_rate": 0.0026675925925925925, | |
| "loss": 0.4192, | |
| "step": 2520 | |
| }, | |
| { | |
| "epoch": 4.68, | |
| "grad_norm": 1.501299500465393, | |
| "learning_rate": 0.0026583333333333333, | |
| "loss": 0.4588, | |
| "step": 2530 | |
| }, | |
| { | |
| "epoch": 4.7, | |
| "grad_norm": 0.7411832213401794, | |
| "learning_rate": 0.002649074074074074, | |
| "loss": 0.507, | |
| "step": 2540 | |
| }, | |
| { | |
| "epoch": 4.72, | |
| "grad_norm": 0.9906969666481018, | |
| "learning_rate": 0.002639814814814815, | |
| "loss": 0.4733, | |
| "step": 2550 | |
| }, | |
| { | |
| "epoch": 4.74, | |
| "grad_norm": 1.5065710544586182, | |
| "learning_rate": 0.0026305555555555557, | |
| "loss": 0.4134, | |
| "step": 2560 | |
| }, | |
| { | |
| "epoch": 4.75, | |
| "grad_norm": 1.1822443008422852, | |
| "learning_rate": 0.0026212962962962965, | |
| "loss": 0.4283, | |
| "step": 2570 | |
| }, | |
| { | |
| "epoch": 4.77, | |
| "grad_norm": 1.1529394388198853, | |
| "learning_rate": 0.0026120370370370373, | |
| "loss": 0.4447, | |
| "step": 2580 | |
| }, | |
| { | |
| "epoch": 4.79, | |
| "grad_norm": 1.294115424156189, | |
| "learning_rate": 0.0026027777777777776, | |
| "loss": 0.4889, | |
| "step": 2590 | |
| }, | |
| { | |
| "epoch": 4.81, | |
| "grad_norm": 0.7541661858558655, | |
| "learning_rate": 0.0025935185185185184, | |
| "loss": 0.4539, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 4.83, | |
| "grad_norm": 1.0515060424804688, | |
| "learning_rate": 0.0025842592592592597, | |
| "loss": 0.4458, | |
| "step": 2610 | |
| }, | |
| { | |
| "epoch": 4.85, | |
| "grad_norm": 1.2407331466674805, | |
| "learning_rate": 0.002575, | |
| "loss": 0.4479, | |
| "step": 2620 | |
| }, | |
| { | |
| "epoch": 4.87, | |
| "grad_norm": 1.4178121089935303, | |
| "learning_rate": 0.002565740740740741, | |
| "loss": 0.451, | |
| "step": 2630 | |
| }, | |
| { | |
| "epoch": 4.88, | |
| "grad_norm": 0.9205562472343445, | |
| "learning_rate": 0.002556481481481481, | |
| "loss": 0.4179, | |
| "step": 2640 | |
| }, | |
| { | |
| "epoch": 4.9, | |
| "grad_norm": 1.106848120689392, | |
| "learning_rate": 0.0025472222222222224, | |
| "loss": 0.4341, | |
| "step": 2650 | |
| }, | |
| { | |
| "epoch": 4.92, | |
| "grad_norm": 0.6212519407272339, | |
| "learning_rate": 0.0025379629629629632, | |
| "loss": 0.3167, | |
| "step": 2660 | |
| }, | |
| { | |
| "epoch": 4.94, | |
| "grad_norm": 2.72360897064209, | |
| "learning_rate": 0.0025287037037037036, | |
| "loss": 0.4454, | |
| "step": 2670 | |
| }, | |
| { | |
| "epoch": 4.96, | |
| "grad_norm": 1.535974144935608, | |
| "learning_rate": 0.002519444444444445, | |
| "loss": 0.4625, | |
| "step": 2680 | |
| }, | |
| { | |
| "epoch": 4.98, | |
| "grad_norm": 0.6457435488700867, | |
| "learning_rate": 0.002510185185185185, | |
| "loss": 0.3886, | |
| "step": 2690 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 0.9673438668251038, | |
| "learning_rate": 0.002500925925925926, | |
| "loss": 0.4852, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9816669234324449, | |
| "eval_f1": 0.9842159244197872, | |
| "eval_loss": 0.0539265014231205, | |
| "eval_precision": 0.9847615394086703, | |
| "eval_recall": 0.9841734919436653, | |
| "eval_runtime": 53.4958, | |
| "eval_samples_per_second": 121.337, | |
| "eval_steps_per_second": 7.589, | |
| "step": 2702 | |
| }, | |
| { | |
| "epoch": 5.01, | |
| "grad_norm": 0.9143092036247253, | |
| "learning_rate": 0.0024916666666666668, | |
| "loss": 0.4017, | |
| "step": 2710 | |
| }, | |
| { | |
| "epoch": 5.03, | |
| "grad_norm": 1.2292033433914185, | |
| "learning_rate": 0.0024824074074074076, | |
| "loss": 0.3677, | |
| "step": 2720 | |
| }, | |
| { | |
| "epoch": 5.05, | |
| "grad_norm": 1.2112282514572144, | |
| "learning_rate": 0.0024731481481481484, | |
| "loss": 0.5256, | |
| "step": 2730 | |
| }, | |
| { | |
| "epoch": 5.07, | |
| "grad_norm": 1.3062794208526611, | |
| "learning_rate": 0.0024638888888888887, | |
| "loss": 0.45, | |
| "step": 2740 | |
| }, | |
| { | |
| "epoch": 5.09, | |
| "grad_norm": 1.280093789100647, | |
| "learning_rate": 0.0024546296296296295, | |
| "loss": 0.4144, | |
| "step": 2750 | |
| }, | |
| { | |
| "epoch": 5.11, | |
| "grad_norm": 0.9576690196990967, | |
| "learning_rate": 0.0024453703703703703, | |
| "loss": 0.4183, | |
| "step": 2760 | |
| }, | |
| { | |
| "epoch": 5.12, | |
| "grad_norm": 1.3858096599578857, | |
| "learning_rate": 0.002436111111111111, | |
| "loss": 0.4774, | |
| "step": 2770 | |
| }, | |
| { | |
| "epoch": 5.14, | |
| "grad_norm": 0.9120557904243469, | |
| "learning_rate": 0.002426851851851852, | |
| "loss": 0.4282, | |
| "step": 2780 | |
| }, | |
| { | |
| "epoch": 5.16, | |
| "grad_norm": 0.9812218546867371, | |
| "learning_rate": 0.0024175925925925927, | |
| "loss": 0.4386, | |
| "step": 2790 | |
| }, | |
| { | |
| "epoch": 5.18, | |
| "grad_norm": 0.8847913146018982, | |
| "learning_rate": 0.0024083333333333335, | |
| "loss": 0.3769, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 5.2, | |
| "grad_norm": 0.6346982717514038, | |
| "learning_rate": 0.002399074074074074, | |
| "loss": 0.404, | |
| "step": 2810 | |
| }, | |
| { | |
| "epoch": 5.22, | |
| "grad_norm": 1.937452793121338, | |
| "learning_rate": 0.002389814814814815, | |
| "loss": 0.4098, | |
| "step": 2820 | |
| }, | |
| { | |
| "epoch": 5.24, | |
| "grad_norm": 0.6616402864456177, | |
| "learning_rate": 0.0023805555555555555, | |
| "loss": 0.4038, | |
| "step": 2830 | |
| }, | |
| { | |
| "epoch": 5.25, | |
| "grad_norm": 1.248590111732483, | |
| "learning_rate": 0.0023712962962962963, | |
| "loss": 0.4208, | |
| "step": 2840 | |
| }, | |
| { | |
| "epoch": 5.27, | |
| "grad_norm": 1.5833156108856201, | |
| "learning_rate": 0.002362037037037037, | |
| "loss": 0.3919, | |
| "step": 2850 | |
| }, | |
| { | |
| "epoch": 5.29, | |
| "grad_norm": 1.1102122068405151, | |
| "learning_rate": 0.002352777777777778, | |
| "loss": 0.4135, | |
| "step": 2860 | |
| }, | |
| { | |
| "epoch": 5.31, | |
| "grad_norm": 1.2193430662155151, | |
| "learning_rate": 0.0023435185185185187, | |
| "loss": 0.4343, | |
| "step": 2870 | |
| }, | |
| { | |
| "epoch": 5.33, | |
| "grad_norm": 1.5274019241333008, | |
| "learning_rate": 0.0023342592592592594, | |
| "loss": 0.397, | |
| "step": 2880 | |
| }, | |
| { | |
| "epoch": 5.35, | |
| "grad_norm": 1.0362614393234253, | |
| "learning_rate": 0.0023250000000000002, | |
| "loss": 0.3789, | |
| "step": 2890 | |
| }, | |
| { | |
| "epoch": 5.37, | |
| "grad_norm": 1.0950071811676025, | |
| "learning_rate": 0.0023157407407407406, | |
| "loss": 0.4146, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 5.38, | |
| "grad_norm": 1.6324676275253296, | |
| "learning_rate": 0.002306481481481482, | |
| "loss": 0.4602, | |
| "step": 2910 | |
| }, | |
| { | |
| "epoch": 5.4, | |
| "grad_norm": 1.0304063558578491, | |
| "learning_rate": 0.002297222222222222, | |
| "loss": 0.3736, | |
| "step": 2920 | |
| }, | |
| { | |
| "epoch": 5.42, | |
| "grad_norm": 0.8070071339607239, | |
| "learning_rate": 0.002287962962962963, | |
| "loss": 0.4444, | |
| "step": 2930 | |
| }, | |
| { | |
| "epoch": 5.44, | |
| "grad_norm": 1.5730412006378174, | |
| "learning_rate": 0.002278703703703704, | |
| "loss": 0.4247, | |
| "step": 2940 | |
| }, | |
| { | |
| "epoch": 5.46, | |
| "grad_norm": 0.8822392821311951, | |
| "learning_rate": 0.0022694444444444446, | |
| "loss": 0.3523, | |
| "step": 2950 | |
| }, | |
| { | |
| "epoch": 5.48, | |
| "grad_norm": 1.6417633295059204, | |
| "learning_rate": 0.002260185185185185, | |
| "loss": 0.428, | |
| "step": 2960 | |
| }, | |
| { | |
| "epoch": 5.49, | |
| "grad_norm": 1.0473852157592773, | |
| "learning_rate": 0.002250925925925926, | |
| "loss": 0.3916, | |
| "step": 2970 | |
| }, | |
| { | |
| "epoch": 5.51, | |
| "grad_norm": 1.1455719470977783, | |
| "learning_rate": 0.0022416666666666665, | |
| "loss": 0.3337, | |
| "step": 2980 | |
| }, | |
| { | |
| "epoch": 5.53, | |
| "grad_norm": 0.9637939929962158, | |
| "learning_rate": 0.0022324074074074073, | |
| "loss": 0.4168, | |
| "step": 2990 | |
| }, | |
| { | |
| "epoch": 5.55, | |
| "grad_norm": 1.650855541229248, | |
| "learning_rate": 0.002223148148148148, | |
| "loss": 0.3526, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 5.57, | |
| "grad_norm": 0.8603165745735168, | |
| "learning_rate": 0.002213888888888889, | |
| "loss": 0.3343, | |
| "step": 3010 | |
| }, | |
| { | |
| "epoch": 5.59, | |
| "grad_norm": 0.9890497922897339, | |
| "learning_rate": 0.0022046296296296297, | |
| "loss": 0.3577, | |
| "step": 3020 | |
| }, | |
| { | |
| "epoch": 5.61, | |
| "grad_norm": 1.0613206624984741, | |
| "learning_rate": 0.0021953703703703705, | |
| "loss": 0.4288, | |
| "step": 3030 | |
| }, | |
| { | |
| "epoch": 5.62, | |
| "grad_norm": 0.8673573136329651, | |
| "learning_rate": 0.0021861111111111113, | |
| "loss": 0.3787, | |
| "step": 3040 | |
| }, | |
| { | |
| "epoch": 5.64, | |
| "grad_norm": 0.9730037450790405, | |
| "learning_rate": 0.0021768518518518517, | |
| "loss": 0.3901, | |
| "step": 3050 | |
| }, | |
| { | |
| "epoch": 5.66, | |
| "grad_norm": 0.9955042004585266, | |
| "learning_rate": 0.0021675925925925925, | |
| "loss": 0.3267, | |
| "step": 3060 | |
| }, | |
| { | |
| "epoch": 5.68, | |
| "grad_norm": 1.3361483812332153, | |
| "learning_rate": 0.0021583333333333333, | |
| "loss": 0.3821, | |
| "step": 3070 | |
| }, | |
| { | |
| "epoch": 5.7, | |
| "grad_norm": 1.1696761846542358, | |
| "learning_rate": 0.002149074074074074, | |
| "loss": 0.4164, | |
| "step": 3080 | |
| }, | |
| { | |
| "epoch": 5.72, | |
| "grad_norm": 0.9910469055175781, | |
| "learning_rate": 0.002139814814814815, | |
| "loss": 0.3488, | |
| "step": 3090 | |
| }, | |
| { | |
| "epoch": 5.74, | |
| "grad_norm": 1.1704002618789673, | |
| "learning_rate": 0.0021305555555555557, | |
| "loss": 0.3773, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 5.75, | |
| "grad_norm": 1.9228627681732178, | |
| "learning_rate": 0.0021212962962962965, | |
| "loss": 0.3609, | |
| "step": 3110 | |
| }, | |
| { | |
| "epoch": 5.77, | |
| "grad_norm": 1.2759217023849487, | |
| "learning_rate": 0.002112037037037037, | |
| "loss": 0.339, | |
| "step": 3120 | |
| }, | |
| { | |
| "epoch": 5.79, | |
| "grad_norm": 1.3884625434875488, | |
| "learning_rate": 0.002102777777777778, | |
| "loss": 0.3427, | |
| "step": 3130 | |
| }, | |
| { | |
| "epoch": 5.81, | |
| "grad_norm": 1.0535517930984497, | |
| "learning_rate": 0.0020935185185185184, | |
| "loss": 0.3684, | |
| "step": 3140 | |
| }, | |
| { | |
| "epoch": 5.83, | |
| "grad_norm": 0.7472217082977295, | |
| "learning_rate": 0.0020842592592592592, | |
| "loss": 0.3315, | |
| "step": 3150 | |
| }, | |
| { | |
| "epoch": 5.85, | |
| "grad_norm": 0.9054597020149231, | |
| "learning_rate": 0.002075, | |
| "loss": 0.4055, | |
| "step": 3160 | |
| }, | |
| { | |
| "epoch": 5.86, | |
| "grad_norm": 0.9936026930809021, | |
| "learning_rate": 0.002065740740740741, | |
| "loss": 0.3684, | |
| "step": 3170 | |
| }, | |
| { | |
| "epoch": 5.88, | |
| "grad_norm": 0.924675464630127, | |
| "learning_rate": 0.002056481481481481, | |
| "loss": 0.4467, | |
| "step": 3180 | |
| }, | |
| { | |
| "epoch": 5.9, | |
| "grad_norm": 0.9270643591880798, | |
| "learning_rate": 0.0020472222222222224, | |
| "loss": 0.4563, | |
| "step": 3190 | |
| }, | |
| { | |
| "epoch": 5.92, | |
| "grad_norm": 1.1928519010543823, | |
| "learning_rate": 0.002037962962962963, | |
| "loss": 0.436, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 5.94, | |
| "grad_norm": 0.7696529030799866, | |
| "learning_rate": 0.0020287037037037036, | |
| "loss": 0.3837, | |
| "step": 3210 | |
| }, | |
| { | |
| "epoch": 5.96, | |
| "grad_norm": 0.787181556224823, | |
| "learning_rate": 0.0020194444444444444, | |
| "loss": 0.3855, | |
| "step": 3220 | |
| }, | |
| { | |
| "epoch": 5.98, | |
| "grad_norm": 0.9738120436668396, | |
| "learning_rate": 0.002010185185185185, | |
| "loss": 0.4042, | |
| "step": 3230 | |
| }, | |
| { | |
| "epoch": 5.99, | |
| "grad_norm": 0.7975121140480042, | |
| "learning_rate": 0.002000925925925926, | |
| "loss": 0.406, | |
| "step": 3240 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.9748883068864582, | |
| "eval_f1": 0.9767778940213332, | |
| "eval_loss": 0.08178560435771942, | |
| "eval_precision": 0.9793037526964313, | |
| "eval_recall": 0.9752347424170356, | |
| "eval_runtime": 52.9882, | |
| "eval_samples_per_second": 122.499, | |
| "eval_steps_per_second": 7.662, | |
| "step": 3243 | |
| }, | |
| { | |
| "epoch": 6.01, | |
| "grad_norm": 1.21721351146698, | |
| "learning_rate": 0.0019916666666666668, | |
| "loss": 0.3252, | |
| "step": 3250 | |
| }, | |
| { | |
| "epoch": 6.03, | |
| "grad_norm": 1.1153512001037598, | |
| "learning_rate": 0.0019824074074074076, | |
| "loss": 0.364, | |
| "step": 3260 | |
| }, | |
| { | |
| "epoch": 6.05, | |
| "grad_norm": 0.9769272208213806, | |
| "learning_rate": 0.001973148148148148, | |
| "loss": 0.3886, | |
| "step": 3270 | |
| }, | |
| { | |
| "epoch": 6.07, | |
| "grad_norm": 1.260012149810791, | |
| "learning_rate": 0.001963888888888889, | |
| "loss": 0.3462, | |
| "step": 3280 | |
| }, | |
| { | |
| "epoch": 6.09, | |
| "grad_norm": 1.2162351608276367, | |
| "learning_rate": 0.0019546296296296295, | |
| "loss": 0.3472, | |
| "step": 3290 | |
| }, | |
| { | |
| "epoch": 6.11, | |
| "grad_norm": 1.2838939428329468, | |
| "learning_rate": 0.0019453703703703703, | |
| "loss": 0.3427, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 6.12, | |
| "grad_norm": 0.850970447063446, | |
| "learning_rate": 0.0019361111111111113, | |
| "loss": 0.3793, | |
| "step": 3310 | |
| }, | |
| { | |
| "epoch": 6.14, | |
| "grad_norm": 0.7692118883132935, | |
| "learning_rate": 0.001926851851851852, | |
| "loss": 0.3029, | |
| "step": 3320 | |
| }, | |
| { | |
| "epoch": 6.16, | |
| "grad_norm": 1.337117314338684, | |
| "learning_rate": 0.0019175925925925927, | |
| "loss": 0.3526, | |
| "step": 3330 | |
| }, | |
| { | |
| "epoch": 6.18, | |
| "grad_norm": 1.0097956657409668, | |
| "learning_rate": 0.0019083333333333333, | |
| "loss": 0.3544, | |
| "step": 3340 | |
| }, | |
| { | |
| "epoch": 6.2, | |
| "grad_norm": 1.1597776412963867, | |
| "learning_rate": 0.001899074074074074, | |
| "loss": 0.3266, | |
| "step": 3350 | |
| }, | |
| { | |
| "epoch": 6.22, | |
| "grad_norm": 0.8050183653831482, | |
| "learning_rate": 0.0018898148148148149, | |
| "loss": 0.352, | |
| "step": 3360 | |
| }, | |
| { | |
| "epoch": 6.23, | |
| "grad_norm": 1.197143316268921, | |
| "learning_rate": 0.0018805555555555557, | |
| "loss": 0.3538, | |
| "step": 3370 | |
| }, | |
| { | |
| "epoch": 6.25, | |
| "grad_norm": 1.5818617343902588, | |
| "learning_rate": 0.0018712962962962962, | |
| "loss": 0.3441, | |
| "step": 3380 | |
| }, | |
| { | |
| "epoch": 6.27, | |
| "grad_norm": 0.6569982767105103, | |
| "learning_rate": 0.001862037037037037, | |
| "loss": 0.3436, | |
| "step": 3390 | |
| }, | |
| { | |
| "epoch": 6.29, | |
| "grad_norm": 0.7630707025527954, | |
| "learning_rate": 0.0018527777777777778, | |
| "loss": 0.3789, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 6.31, | |
| "grad_norm": 0.8499374389648438, | |
| "learning_rate": 0.0018435185185185186, | |
| "loss": 0.3351, | |
| "step": 3410 | |
| }, | |
| { | |
| "epoch": 6.33, | |
| "grad_norm": 0.8909932374954224, | |
| "learning_rate": 0.0018342592592592594, | |
| "loss": 0.2914, | |
| "step": 3420 | |
| }, | |
| { | |
| "epoch": 6.35, | |
| "grad_norm": 0.9815020561218262, | |
| "learning_rate": 0.001825, | |
| "loss": 0.3234, | |
| "step": 3430 | |
| }, | |
| { | |
| "epoch": 6.36, | |
| "grad_norm": 0.9451941251754761, | |
| "learning_rate": 0.0018157407407407408, | |
| "loss": 0.3016, | |
| "step": 3440 | |
| }, | |
| { | |
| "epoch": 6.38, | |
| "grad_norm": 1.1062078475952148, | |
| "learning_rate": 0.0018064814814814814, | |
| "loss": 0.3243, | |
| "step": 3450 | |
| }, | |
| { | |
| "epoch": 6.4, | |
| "grad_norm": 1.119948387145996, | |
| "learning_rate": 0.0017972222222222224, | |
| "loss": 0.4004, | |
| "step": 3460 | |
| }, | |
| { | |
| "epoch": 6.42, | |
| "grad_norm": 1.0116353034973145, | |
| "learning_rate": 0.001787962962962963, | |
| "loss": 0.3816, | |
| "step": 3470 | |
| }, | |
| { | |
| "epoch": 6.44, | |
| "grad_norm": 1.270749568939209, | |
| "learning_rate": 0.0017787037037037038, | |
| "loss": 0.3961, | |
| "step": 3480 | |
| }, | |
| { | |
| "epoch": 6.46, | |
| "grad_norm": 0.7347724437713623, | |
| "learning_rate": 0.0017694444444444444, | |
| "loss": 0.3183, | |
| "step": 3490 | |
| }, | |
| { | |
| "epoch": 6.48, | |
| "grad_norm": 1.3908417224884033, | |
| "learning_rate": 0.0017601851851851852, | |
| "loss": 0.3717, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 6.49, | |
| "grad_norm": 1.0049611330032349, | |
| "learning_rate": 0.0017509259259259262, | |
| "loss": 0.3804, | |
| "step": 3510 | |
| }, | |
| { | |
| "epoch": 6.51, | |
| "grad_norm": 0.8181151747703552, | |
| "learning_rate": 0.0017416666666666668, | |
| "loss": 0.3683, | |
| "step": 3520 | |
| }, | |
| { | |
| "epoch": 6.53, | |
| "grad_norm": 1.0311352014541626, | |
| "learning_rate": 0.0017324074074074076, | |
| "loss": 0.3813, | |
| "step": 3530 | |
| }, | |
| { | |
| "epoch": 6.55, | |
| "grad_norm": 0.6164132356643677, | |
| "learning_rate": 0.0017231481481481481, | |
| "loss": 0.342, | |
| "step": 3540 | |
| }, | |
| { | |
| "epoch": 6.57, | |
| "grad_norm": 0.7826759219169617, | |
| "learning_rate": 0.001713888888888889, | |
| "loss": 0.2858, | |
| "step": 3550 | |
| }, | |
| { | |
| "epoch": 6.59, | |
| "grad_norm": 0.6946287155151367, | |
| "learning_rate": 0.0017046296296296295, | |
| "loss": 0.3245, | |
| "step": 3560 | |
| }, | |
| { | |
| "epoch": 6.6, | |
| "grad_norm": 1.3883477449417114, | |
| "learning_rate": 0.0016953703703703705, | |
| "loss": 0.3492, | |
| "step": 3570 | |
| }, | |
| { | |
| "epoch": 6.62, | |
| "grad_norm": 1.0445375442504883, | |
| "learning_rate": 0.001686111111111111, | |
| "loss": 0.2873, | |
| "step": 3580 | |
| }, | |
| { | |
| "epoch": 6.64, | |
| "grad_norm": 1.155643105506897, | |
| "learning_rate": 0.001676851851851852, | |
| "loss": 0.3771, | |
| "step": 3590 | |
| }, | |
| { | |
| "epoch": 6.66, | |
| "grad_norm": 0.8850951790809631, | |
| "learning_rate": 0.0016675925925925925, | |
| "loss": 0.3412, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 6.68, | |
| "grad_norm": 0.8685129880905151, | |
| "learning_rate": 0.0016583333333333333, | |
| "loss": 0.3489, | |
| "step": 3610 | |
| }, | |
| { | |
| "epoch": 6.7, | |
| "grad_norm": 1.20561683177948, | |
| "learning_rate": 0.0016490740740740743, | |
| "loss": 0.3253, | |
| "step": 3620 | |
| }, | |
| { | |
| "epoch": 6.72, | |
| "grad_norm": 0.8918961882591248, | |
| "learning_rate": 0.0016398148148148149, | |
| "loss": 0.3279, | |
| "step": 3630 | |
| }, | |
| { | |
| "epoch": 6.73, | |
| "grad_norm": 1.1090009212493896, | |
| "learning_rate": 0.0016305555555555557, | |
| "loss": 0.2887, | |
| "step": 3640 | |
| }, | |
| { | |
| "epoch": 6.75, | |
| "grad_norm": 1.1889126300811768, | |
| "learning_rate": 0.0016212962962962962, | |
| "loss": 0.3391, | |
| "step": 3650 | |
| }, | |
| { | |
| "epoch": 6.77, | |
| "grad_norm": 0.7774761915206909, | |
| "learning_rate": 0.001612037037037037, | |
| "loss": 0.354, | |
| "step": 3660 | |
| }, | |
| { | |
| "epoch": 6.79, | |
| "grad_norm": 0.9942853450775146, | |
| "learning_rate": 0.0016027777777777776, | |
| "loss": 0.4198, | |
| "step": 3670 | |
| }, | |
| { | |
| "epoch": 6.81, | |
| "grad_norm": 0.5383427143096924, | |
| "learning_rate": 0.0015935185185185186, | |
| "loss": 0.2784, | |
| "step": 3680 | |
| }, | |
| { | |
| "epoch": 6.83, | |
| "grad_norm": 1.0659656524658203, | |
| "learning_rate": 0.0015842592592592592, | |
| "loss": 0.3369, | |
| "step": 3690 | |
| }, | |
| { | |
| "epoch": 6.85, | |
| "grad_norm": 1.0167818069458008, | |
| "learning_rate": 0.001575, | |
| "loss": 0.3465, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 6.86, | |
| "grad_norm": 0.9056137204170227, | |
| "learning_rate": 0.0015657407407407408, | |
| "loss": 0.3111, | |
| "step": 3710 | |
| }, | |
| { | |
| "epoch": 6.88, | |
| "grad_norm": 0.9691112041473389, | |
| "learning_rate": 0.0015564814814814816, | |
| "loss": 0.2901, | |
| "step": 3720 | |
| }, | |
| { | |
| "epoch": 6.9, | |
| "grad_norm": 1.0727977752685547, | |
| "learning_rate": 0.0015472222222222224, | |
| "loss": 0.3614, | |
| "step": 3730 | |
| }, | |
| { | |
| "epoch": 6.92, | |
| "grad_norm": 0.8301049470901489, | |
| "learning_rate": 0.001537962962962963, | |
| "loss": 0.3251, | |
| "step": 3740 | |
| }, | |
| { | |
| "epoch": 6.94, | |
| "grad_norm": 0.6486156582832336, | |
| "learning_rate": 0.0015287037037037038, | |
| "loss": 0.3135, | |
| "step": 3750 | |
| }, | |
| { | |
| "epoch": 6.96, | |
| "grad_norm": 1.2031179666519165, | |
| "learning_rate": 0.0015194444444444444, | |
| "loss": 0.3371, | |
| "step": 3760 | |
| }, | |
| { | |
| "epoch": 6.98, | |
| "grad_norm": 1.1333447694778442, | |
| "learning_rate": 0.0015101851851851854, | |
| "loss": 0.3242, | |
| "step": 3770 | |
| }, | |
| { | |
| "epoch": 6.99, | |
| "grad_norm": 1.0811736583709717, | |
| "learning_rate": 0.001500925925925926, | |
| "loss": 0.3074, | |
| "step": 3780 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.966569095670929, | |
| "eval_f1": 0.9782929900155292, | |
| "eval_loss": 0.1289132982492447, | |
| "eval_precision": 0.9815165094060785, | |
| "eval_recall": 0.977802007605107, | |
| "eval_runtime": 52.9121, | |
| "eval_samples_per_second": 122.675, | |
| "eval_steps_per_second": 7.673, | |
| "step": 3783 | |
| }, | |
| { | |
| "epoch": 7.01, | |
| "grad_norm": 0.5184229016304016, | |
| "learning_rate": 0.0014916666666666667, | |
| "loss": 0.3532, | |
| "step": 3790 | |
| }, | |
| { | |
| "epoch": 7.03, | |
| "grad_norm": 0.9822409152984619, | |
| "learning_rate": 0.0014824074074074073, | |
| "loss": 0.3701, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 7.05, | |
| "grad_norm": 0.6723494529724121, | |
| "learning_rate": 0.0014731481481481481, | |
| "loss": 0.3553, | |
| "step": 3810 | |
| }, | |
| { | |
| "epoch": 7.07, | |
| "grad_norm": 1.0363885164260864, | |
| "learning_rate": 0.0014638888888888891, | |
| "loss": 0.2526, | |
| "step": 3820 | |
| }, | |
| { | |
| "epoch": 7.09, | |
| "grad_norm": 0.9155850410461426, | |
| "learning_rate": 0.0014546296296296297, | |
| "loss": 0.3045, | |
| "step": 3830 | |
| }, | |
| { | |
| "epoch": 7.1, | |
| "grad_norm": 1.412392497062683, | |
| "learning_rate": 0.0014453703703703705, | |
| "loss": 0.2868, | |
| "step": 3840 | |
| }, | |
| { | |
| "epoch": 7.12, | |
| "grad_norm": 0.9707776308059692, | |
| "learning_rate": 0.001436111111111111, | |
| "loss": 0.3537, | |
| "step": 3850 | |
| }, | |
| { | |
| "epoch": 7.14, | |
| "grad_norm": 1.2895119190216064, | |
| "learning_rate": 0.001426851851851852, | |
| "loss": 0.2961, | |
| "step": 3860 | |
| }, | |
| { | |
| "epoch": 7.16, | |
| "grad_norm": 0.8239867687225342, | |
| "learning_rate": 0.0014175925925925925, | |
| "loss": 0.2836, | |
| "step": 3870 | |
| }, | |
| { | |
| "epoch": 7.18, | |
| "grad_norm": 1.1721490621566772, | |
| "learning_rate": 0.0014083333333333335, | |
| "loss": 0.3331, | |
| "step": 3880 | |
| }, | |
| { | |
| "epoch": 7.2, | |
| "grad_norm": 0.6656754612922668, | |
| "learning_rate": 0.001399074074074074, | |
| "loss": 0.3221, | |
| "step": 3890 | |
| }, | |
| { | |
| "epoch": 7.22, | |
| "grad_norm": 0.8847745656967163, | |
| "learning_rate": 0.0013898148148148149, | |
| "loss": 0.3361, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 7.23, | |
| "grad_norm": 1.1900001764297485, | |
| "learning_rate": 0.0013805555555555554, | |
| "loss": 0.278, | |
| "step": 3910 | |
| }, | |
| { | |
| "epoch": 7.25, | |
| "grad_norm": 0.6611624956130981, | |
| "learning_rate": 0.0013712962962962962, | |
| "loss": 0.3078, | |
| "step": 3920 | |
| }, | |
| { | |
| "epoch": 7.27, | |
| "grad_norm": 0.8776438236236572, | |
| "learning_rate": 0.0013620370370370373, | |
| "loss": 0.3361, | |
| "step": 3930 | |
| }, | |
| { | |
| "epoch": 7.29, | |
| "grad_norm": 0.8815858960151672, | |
| "learning_rate": 0.0013527777777777778, | |
| "loss": 0.2727, | |
| "step": 3940 | |
| }, | |
| { | |
| "epoch": 7.31, | |
| "grad_norm": 0.8579031825065613, | |
| "learning_rate": 0.0013435185185185186, | |
| "loss": 0.2954, | |
| "step": 3950 | |
| }, | |
| { | |
| "epoch": 7.33, | |
| "grad_norm": 0.9951643943786621, | |
| "learning_rate": 0.0013342592592592592, | |
| "loss": 0.3186, | |
| "step": 3960 | |
| }, | |
| { | |
| "epoch": 7.35, | |
| "grad_norm": 0.7032579779624939, | |
| "learning_rate": 0.001325, | |
| "loss": 0.3374, | |
| "step": 3970 | |
| }, | |
| { | |
| "epoch": 7.36, | |
| "grad_norm": 0.8467724919319153, | |
| "learning_rate": 0.0013157407407407406, | |
| "loss": 0.3459, | |
| "step": 3980 | |
| }, | |
| { | |
| "epoch": 7.38, | |
| "grad_norm": 1.0427024364471436, | |
| "learning_rate": 0.0013064814814814816, | |
| "loss": 0.3223, | |
| "step": 3990 | |
| }, | |
| { | |
| "epoch": 7.4, | |
| "grad_norm": 1.081141710281372, | |
| "learning_rate": 0.0012972222222222222, | |
| "loss": 0.3421, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 7.42, | |
| "grad_norm": 1.1036946773529053, | |
| "learning_rate": 0.001287962962962963, | |
| "loss": 0.3357, | |
| "step": 4010 | |
| }, | |
| { | |
| "epoch": 7.44, | |
| "grad_norm": 0.47026312351226807, | |
| "learning_rate": 0.0012787037037037038, | |
| "loss": 0.3413, | |
| "step": 4020 | |
| }, | |
| { | |
| "epoch": 7.46, | |
| "grad_norm": 0.6322646141052246, | |
| "learning_rate": 0.0012694444444444444, | |
| "loss": 0.3384, | |
| "step": 4030 | |
| }, | |
| { | |
| "epoch": 7.47, | |
| "grad_norm": 1.1694568395614624, | |
| "learning_rate": 0.0012601851851851854, | |
| "loss": 0.2964, | |
| "step": 4040 | |
| }, | |
| { | |
| "epoch": 7.49, | |
| "grad_norm": 0.6389946341514587, | |
| "learning_rate": 0.001250925925925926, | |
| "loss": 0.2363, | |
| "step": 4050 | |
| }, | |
| { | |
| "epoch": 7.51, | |
| "grad_norm": 0.8997761011123657, | |
| "learning_rate": 0.0012416666666666667, | |
| "loss": 0.3002, | |
| "step": 4060 | |
| }, | |
| { | |
| "epoch": 7.53, | |
| "grad_norm": 1.0065665245056152, | |
| "learning_rate": 0.0012324074074074073, | |
| "loss": 0.2559, | |
| "step": 4070 | |
| }, | |
| { | |
| "epoch": 7.55, | |
| "grad_norm": 1.022987723350525, | |
| "learning_rate": 0.0012231481481481483, | |
| "loss": 0.3338, | |
| "step": 4080 | |
| }, | |
| { | |
| "epoch": 7.57, | |
| "grad_norm": 1.0679833889007568, | |
| "learning_rate": 0.001213888888888889, | |
| "loss": 0.284, | |
| "step": 4090 | |
| }, | |
| { | |
| "epoch": 7.59, | |
| "grad_norm": 0.607288122177124, | |
| "learning_rate": 0.0012046296296296297, | |
| "loss": 0.2509, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 7.6, | |
| "grad_norm": 0.5742871165275574, | |
| "learning_rate": 0.0011953703703703705, | |
| "loss": 0.2537, | |
| "step": 4110 | |
| }, | |
| { | |
| "epoch": 7.62, | |
| "grad_norm": 1.2387137413024902, | |
| "learning_rate": 0.001186111111111111, | |
| "loss": 0.2565, | |
| "step": 4120 | |
| }, | |
| { | |
| "epoch": 7.64, | |
| "grad_norm": 1.174902319908142, | |
| "learning_rate": 0.0011768518518518519, | |
| "loss": 0.2997, | |
| "step": 4130 | |
| }, | |
| { | |
| "epoch": 7.66, | |
| "grad_norm": 0.9305229783058167, | |
| "learning_rate": 0.0011675925925925927, | |
| "loss": 0.3119, | |
| "step": 4140 | |
| }, | |
| { | |
| "epoch": 7.68, | |
| "grad_norm": 0.8137575387954712, | |
| "learning_rate": 0.0011583333333333333, | |
| "loss": 0.3212, | |
| "step": 4150 | |
| }, | |
| { | |
| "epoch": 7.7, | |
| "grad_norm": 0.8960317373275757, | |
| "learning_rate": 0.001149074074074074, | |
| "loss": 0.2598, | |
| "step": 4160 | |
| }, | |
| { | |
| "epoch": 7.72, | |
| "grad_norm": 0.9751859903335571, | |
| "learning_rate": 0.0011398148148148149, | |
| "loss": 0.2888, | |
| "step": 4170 | |
| }, | |
| { | |
| "epoch": 7.73, | |
| "grad_norm": 1.0055298805236816, | |
| "learning_rate": 0.0011305555555555557, | |
| "loss": 0.3002, | |
| "step": 4180 | |
| }, | |
| { | |
| "epoch": 7.75, | |
| "grad_norm": 0.8062968254089355, | |
| "learning_rate": 0.0011212962962962965, | |
| "loss": 0.3344, | |
| "step": 4190 | |
| }, | |
| { | |
| "epoch": 7.77, | |
| "grad_norm": 0.95457923412323, | |
| "learning_rate": 0.001112037037037037, | |
| "loss": 0.3063, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 7.79, | |
| "grad_norm": 1.3791453838348389, | |
| "learning_rate": 0.0011027777777777778, | |
| "loss": 0.317, | |
| "step": 4210 | |
| }, | |
| { | |
| "epoch": 7.81, | |
| "grad_norm": 0.874679684638977, | |
| "learning_rate": 0.0010935185185185186, | |
| "loss": 0.3217, | |
| "step": 4220 | |
| }, | |
| { | |
| "epoch": 7.83, | |
| "grad_norm": 0.5453481078147888, | |
| "learning_rate": 0.0010842592592592592, | |
| "loss": 0.2493, | |
| "step": 4230 | |
| }, | |
| { | |
| "epoch": 7.84, | |
| "grad_norm": 1.0427902936935425, | |
| "learning_rate": 0.001075, | |
| "loss": 0.2792, | |
| "step": 4240 | |
| }, | |
| { | |
| "epoch": 7.86, | |
| "grad_norm": 1.1764284372329712, | |
| "learning_rate": 0.0010657407407407408, | |
| "loss": 0.2898, | |
| "step": 4250 | |
| }, | |
| { | |
| "epoch": 7.88, | |
| "grad_norm": 0.6771812438964844, | |
| "learning_rate": 0.0010564814814814814, | |
| "loss": 0.373, | |
| "step": 4260 | |
| }, | |
| { | |
| "epoch": 7.9, | |
| "grad_norm": 0.8747534155845642, | |
| "learning_rate": 0.0010472222222222222, | |
| "loss": 0.268, | |
| "step": 4270 | |
| }, | |
| { | |
| "epoch": 7.92, | |
| "grad_norm": 1.2883553504943848, | |
| "learning_rate": 0.001037962962962963, | |
| "loss": 0.2717, | |
| "step": 4280 | |
| }, | |
| { | |
| "epoch": 7.94, | |
| "grad_norm": 0.7051785588264465, | |
| "learning_rate": 0.0010287037037037038, | |
| "loss": 0.3066, | |
| "step": 4290 | |
| }, | |
| { | |
| "epoch": 7.96, | |
| "grad_norm": 0.7398721575737, | |
| "learning_rate": 0.0010194444444444446, | |
| "loss": 0.2995, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 7.97, | |
| "grad_norm": 1.145930290222168, | |
| "learning_rate": 0.0010101851851851851, | |
| "loss": 0.3045, | |
| "step": 4310 | |
| }, | |
| { | |
| "epoch": 7.99, | |
| "grad_norm": 1.0502551794052124, | |
| "learning_rate": 0.001000925925925926, | |
| "loss": 0.2679, | |
| "step": 4320 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.9899861346479741, | |
| "eval_f1": 0.9912451005847, | |
| "eval_loss": 0.031062940135598183, | |
| "eval_precision": 0.9916388059857394, | |
| "eval_recall": 0.9909443527430603, | |
| "eval_runtime": 52.8878, | |
| "eval_samples_per_second": 122.731, | |
| "eval_steps_per_second": 7.677, | |
| "step": 4324 | |
| }, | |
| { | |
| "epoch": 8.01, | |
| "grad_norm": 1.0673542022705078, | |
| "learning_rate": 0.0009916666666666667, | |
| "loss": 0.3395, | |
| "step": 4330 | |
| }, | |
| { | |
| "epoch": 8.03, | |
| "grad_norm": 0.7167376279830933, | |
| "learning_rate": 0.0009824074074074073, | |
| "loss": 0.2648, | |
| "step": 4340 | |
| }, | |
| { | |
| "epoch": 8.05, | |
| "grad_norm": 0.7471597194671631, | |
| "learning_rate": 0.0009731481481481481, | |
| "loss": 0.3121, | |
| "step": 4350 | |
| }, | |
| { | |
| "epoch": 8.07, | |
| "grad_norm": 1.22334623336792, | |
| "learning_rate": 0.0009638888888888889, | |
| "loss": 0.2867, | |
| "step": 4360 | |
| }, | |
| { | |
| "epoch": 8.09, | |
| "grad_norm": 1.0853790044784546, | |
| "learning_rate": 0.0009546296296296296, | |
| "loss": 0.2639, | |
| "step": 4370 | |
| }, | |
| { | |
| "epoch": 8.1, | |
| "grad_norm": 0.9974374771118164, | |
| "learning_rate": 0.0009453703703703703, | |
| "loss": 0.2679, | |
| "step": 4380 | |
| }, | |
| { | |
| "epoch": 8.12, | |
| "grad_norm": 0.5487973093986511, | |
| "learning_rate": 0.0009361111111111112, | |
| "loss": 0.2552, | |
| "step": 4390 | |
| }, | |
| { | |
| "epoch": 8.14, | |
| "grad_norm": 1.0462454557418823, | |
| "learning_rate": 0.0009268518518518519, | |
| "loss": 0.2371, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 8.16, | |
| "grad_norm": 0.9754990935325623, | |
| "learning_rate": 0.0009175925925925927, | |
| "loss": 0.2792, | |
| "step": 4410 | |
| }, | |
| { | |
| "epoch": 8.18, | |
| "grad_norm": 1.371444821357727, | |
| "learning_rate": 0.0009083333333333334, | |
| "loss": 0.2508, | |
| "step": 4420 | |
| }, | |
| { | |
| "epoch": 8.2, | |
| "grad_norm": 1.4113060235977173, | |
| "learning_rate": 0.0008990740740740741, | |
| "loss": 0.2875, | |
| "step": 4430 | |
| }, | |
| { | |
| "epoch": 8.21, | |
| "grad_norm": 0.7861378788948059, | |
| "learning_rate": 0.0008898148148148149, | |
| "loss": 0.3163, | |
| "step": 4440 | |
| }, | |
| { | |
| "epoch": 8.23, | |
| "grad_norm": 0.6464210152626038, | |
| "learning_rate": 0.0008805555555555555, | |
| "loss": 0.2845, | |
| "step": 4450 | |
| }, | |
| { | |
| "epoch": 8.25, | |
| "grad_norm": 1.1672011613845825, | |
| "learning_rate": 0.0008712962962962962, | |
| "loss": 0.2807, | |
| "step": 4460 | |
| }, | |
| { | |
| "epoch": 8.27, | |
| "grad_norm": 0.8441992402076721, | |
| "learning_rate": 0.000862037037037037, | |
| "loss": 0.3093, | |
| "step": 4470 | |
| }, | |
| { | |
| "epoch": 8.29, | |
| "grad_norm": 0.6474927663803101, | |
| "learning_rate": 0.0008527777777777777, | |
| "loss": 0.2609, | |
| "step": 4480 | |
| }, | |
| { | |
| "epoch": 8.31, | |
| "grad_norm": 0.5043164491653442, | |
| "learning_rate": 0.0008435185185185186, | |
| "loss": 0.3138, | |
| "step": 4490 | |
| }, | |
| { | |
| "epoch": 8.33, | |
| "grad_norm": 0.9660760164260864, | |
| "learning_rate": 0.0008342592592592593, | |
| "loss": 0.3032, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 8.34, | |
| "grad_norm": 1.2470887899398804, | |
| "learning_rate": 0.0008250000000000001, | |
| "loss": 0.3015, | |
| "step": 4510 | |
| }, | |
| { | |
| "epoch": 8.36, | |
| "grad_norm": 1.4032260179519653, | |
| "learning_rate": 0.0008157407407407408, | |
| "loss": 0.3132, | |
| "step": 4520 | |
| }, | |
| { | |
| "epoch": 8.38, | |
| "grad_norm": 0.9354479312896729, | |
| "learning_rate": 0.0008064814814814815, | |
| "loss": 0.2862, | |
| "step": 4530 | |
| }, | |
| { | |
| "epoch": 8.4, | |
| "grad_norm": 0.8781515955924988, | |
| "learning_rate": 0.0007972222222222223, | |
| "loss": 0.2636, | |
| "step": 4540 | |
| }, | |
| { | |
| "epoch": 8.42, | |
| "grad_norm": 0.8106943964958191, | |
| "learning_rate": 0.000787962962962963, | |
| "loss": 0.3125, | |
| "step": 4550 | |
| }, | |
| { | |
| "epoch": 8.44, | |
| "grad_norm": 0.7355839610099792, | |
| "learning_rate": 0.0007787037037037037, | |
| "loss": 0.2896, | |
| "step": 4560 | |
| }, | |
| { | |
| "epoch": 8.46, | |
| "grad_norm": 0.6883030533790588, | |
| "learning_rate": 0.0007694444444444445, | |
| "loss": 0.2534, | |
| "step": 4570 | |
| }, | |
| { | |
| "epoch": 8.47, | |
| "grad_norm": 0.7917162179946899, | |
| "learning_rate": 0.0007601851851851851, | |
| "loss": 0.2627, | |
| "step": 4580 | |
| }, | |
| { | |
| "epoch": 8.49, | |
| "grad_norm": 0.8958062529563904, | |
| "learning_rate": 0.0007509259259259258, | |
| "loss": 0.2573, | |
| "step": 4590 | |
| }, | |
| { | |
| "epoch": 8.51, | |
| "grad_norm": 0.8534148335456848, | |
| "learning_rate": 0.0007416666666666667, | |
| "loss": 0.2715, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 8.53, | |
| "grad_norm": 0.8119780421257019, | |
| "learning_rate": 0.0007324074074074074, | |
| "loss": 0.2455, | |
| "step": 4610 | |
| }, | |
| { | |
| "epoch": 8.55, | |
| "grad_norm": 1.1178597211837769, | |
| "learning_rate": 0.0007231481481481482, | |
| "loss": 0.2798, | |
| "step": 4620 | |
| }, | |
| { | |
| "epoch": 8.57, | |
| "grad_norm": 0.8982829451560974, | |
| "learning_rate": 0.0007138888888888889, | |
| "loss": 0.2816, | |
| "step": 4630 | |
| }, | |
| { | |
| "epoch": 8.58, | |
| "grad_norm": 0.8414255976676941, | |
| "learning_rate": 0.0007046296296296296, | |
| "loss": 0.263, | |
| "step": 4640 | |
| }, | |
| { | |
| "epoch": 8.6, | |
| "grad_norm": 0.6894321441650391, | |
| "learning_rate": 0.0006953703703703704, | |
| "loss": 0.2551, | |
| "step": 4650 | |
| }, | |
| { | |
| "epoch": 8.62, | |
| "grad_norm": 0.9369879364967346, | |
| "learning_rate": 0.0006861111111111111, | |
| "loss": 0.234, | |
| "step": 4660 | |
| }, | |
| { | |
| "epoch": 8.64, | |
| "grad_norm": 0.7685711979866028, | |
| "learning_rate": 0.0006768518518518519, | |
| "loss": 0.2669, | |
| "step": 4670 | |
| }, | |
| { | |
| "epoch": 8.66, | |
| "grad_norm": 0.866146981716156, | |
| "learning_rate": 0.0006675925925925926, | |
| "loss": 0.2613, | |
| "step": 4680 | |
| }, | |
| { | |
| "epoch": 8.68, | |
| "grad_norm": 0.7694200873374939, | |
| "learning_rate": 0.0006583333333333333, | |
| "loss": 0.3076, | |
| "step": 4690 | |
| }, | |
| { | |
| "epoch": 8.7, | |
| "grad_norm": 0.7113105058670044, | |
| "learning_rate": 0.0006490740740740742, | |
| "loss": 0.2818, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 8.71, | |
| "grad_norm": 0.6957096457481384, | |
| "learning_rate": 0.0006398148148148148, | |
| "loss": 0.2123, | |
| "step": 4710 | |
| }, | |
| { | |
| "epoch": 8.73, | |
| "grad_norm": 0.7736373543739319, | |
| "learning_rate": 0.0006305555555555556, | |
| "loss": 0.2896, | |
| "step": 4720 | |
| }, | |
| { | |
| "epoch": 8.75, | |
| "grad_norm": 0.7972449660301208, | |
| "learning_rate": 0.0006212962962962963, | |
| "loss": 0.2606, | |
| "step": 4730 | |
| }, | |
| { | |
| "epoch": 8.77, | |
| "grad_norm": 1.4942100048065186, | |
| "learning_rate": 0.000612037037037037, | |
| "loss": 0.2688, | |
| "step": 4740 | |
| }, | |
| { | |
| "epoch": 8.79, | |
| "grad_norm": 0.5527027249336243, | |
| "learning_rate": 0.0006027777777777778, | |
| "loss": 0.2311, | |
| "step": 4750 | |
| }, | |
| { | |
| "epoch": 8.81, | |
| "grad_norm": 0.7232396006584167, | |
| "learning_rate": 0.0005935185185185185, | |
| "loss": 0.2102, | |
| "step": 4760 | |
| }, | |
| { | |
| "epoch": 8.83, | |
| "grad_norm": 0.8936424851417542, | |
| "learning_rate": 0.0005842592592592592, | |
| "loss": 0.2185, | |
| "step": 4770 | |
| }, | |
| { | |
| "epoch": 8.84, | |
| "grad_norm": 0.5523704290390015, | |
| "learning_rate": 0.000575, | |
| "loss": 0.2443, | |
| "step": 4780 | |
| }, | |
| { | |
| "epoch": 8.86, | |
| "grad_norm": 0.6891120672225952, | |
| "learning_rate": 0.0005657407407407408, | |
| "loss": 0.2722, | |
| "step": 4790 | |
| }, | |
| { | |
| "epoch": 8.88, | |
| "grad_norm": 0.8618466854095459, | |
| "learning_rate": 0.0005564814814814815, | |
| "loss": 0.2782, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 8.9, | |
| "grad_norm": 0.601006269454956, | |
| "learning_rate": 0.0005472222222222223, | |
| "loss": 0.3289, | |
| "step": 4810 | |
| }, | |
| { | |
| "epoch": 8.92, | |
| "grad_norm": 0.5365596413612366, | |
| "learning_rate": 0.000537962962962963, | |
| "loss": 0.2511, | |
| "step": 4820 | |
| }, | |
| { | |
| "epoch": 8.94, | |
| "grad_norm": 1.0211495161056519, | |
| "learning_rate": 0.0005287037037037038, | |
| "loss": 0.2964, | |
| "step": 4830 | |
| }, | |
| { | |
| "epoch": 8.95, | |
| "grad_norm": 0.838763952255249, | |
| "learning_rate": 0.0005194444444444444, | |
| "loss": 0.2373, | |
| "step": 4840 | |
| }, | |
| { | |
| "epoch": 8.97, | |
| "grad_norm": 0.9094264507293701, | |
| "learning_rate": 0.0005101851851851852, | |
| "loss": 0.2447, | |
| "step": 4850 | |
| }, | |
| { | |
| "epoch": 8.99, | |
| "grad_norm": 0.5573397874832153, | |
| "learning_rate": 0.0005009259259259259, | |
| "loss": 0.2439, | |
| "step": 4860 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.9850562317054383, | |
| "eval_f1": 0.9881355002597147, | |
| "eval_loss": 0.05773022025823593, | |
| "eval_precision": 0.9885823118322556, | |
| "eval_recall": 0.9880245106891419, | |
| "eval_runtime": 52.821, | |
| "eval_samples_per_second": 122.887, | |
| "eval_steps_per_second": 7.686, | |
| "step": 4864 | |
| }, | |
| { | |
| "epoch": 9.01, | |
| "grad_norm": 0.5047478675842285, | |
| "learning_rate": 0.0004916666666666666, | |
| "loss": 0.2301, | |
| "step": 4870 | |
| }, | |
| { | |
| "epoch": 9.03, | |
| "grad_norm": 0.8074342012405396, | |
| "learning_rate": 0.00048240740740740747, | |
| "loss": 0.2168, | |
| "step": 4880 | |
| }, | |
| { | |
| "epoch": 9.05, | |
| "grad_norm": 0.9957315921783447, | |
| "learning_rate": 0.00047314814814814816, | |
| "loss": 0.2546, | |
| "step": 4890 | |
| }, | |
| { | |
| "epoch": 9.07, | |
| "grad_norm": 1.1737314462661743, | |
| "learning_rate": 0.0004638888888888889, | |
| "loss": 0.2526, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 9.08, | |
| "grad_norm": 0.47173938155174255, | |
| "learning_rate": 0.00045462962962962964, | |
| "loss": 0.281, | |
| "step": 4910 | |
| }, | |
| { | |
| "epoch": 9.1, | |
| "grad_norm": 0.7715136408805847, | |
| "learning_rate": 0.00044537037037037033, | |
| "loss": 0.2679, | |
| "step": 4920 | |
| }, | |
| { | |
| "epoch": 9.12, | |
| "grad_norm": 1.0114617347717285, | |
| "learning_rate": 0.00043611111111111113, | |
| "loss": 0.2568, | |
| "step": 4930 | |
| }, | |
| { | |
| "epoch": 9.14, | |
| "grad_norm": 0.7581719160079956, | |
| "learning_rate": 0.00042685185185185187, | |
| "loss": 0.1955, | |
| "step": 4940 | |
| }, | |
| { | |
| "epoch": 9.16, | |
| "grad_norm": 0.9538590908050537, | |
| "learning_rate": 0.0004175925925925926, | |
| "loss": 0.2764, | |
| "step": 4950 | |
| }, | |
| { | |
| "epoch": 9.18, | |
| "grad_norm": 0.9304882884025574, | |
| "learning_rate": 0.00040833333333333336, | |
| "loss": 0.2225, | |
| "step": 4960 | |
| }, | |
| { | |
| "epoch": 9.2, | |
| "grad_norm": 1.7399593591690063, | |
| "learning_rate": 0.00039907407407407404, | |
| "loss": 0.2194, | |
| "step": 4970 | |
| }, | |
| { | |
| "epoch": 9.21, | |
| "grad_norm": 1.2996737957000732, | |
| "learning_rate": 0.0003898148148148148, | |
| "loss": 0.2552, | |
| "step": 4980 | |
| }, | |
| { | |
| "epoch": 9.23, | |
| "grad_norm": 0.9532219767570496, | |
| "learning_rate": 0.0003805555555555556, | |
| "loss": 0.2371, | |
| "step": 4990 | |
| }, | |
| { | |
| "epoch": 9.25, | |
| "grad_norm": 0.5695217251777649, | |
| "learning_rate": 0.0003712962962962963, | |
| "loss": 0.1966, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 9.27, | |
| "grad_norm": 0.8924893140792847, | |
| "learning_rate": 0.000362037037037037, | |
| "loss": 0.2367, | |
| "step": 5010 | |
| }, | |
| { | |
| "epoch": 9.29, | |
| "grad_norm": 0.4599965214729309, | |
| "learning_rate": 0.00035277777777777776, | |
| "loss": 0.2338, | |
| "step": 5020 | |
| }, | |
| { | |
| "epoch": 9.31, | |
| "grad_norm": 1.544420838356018, | |
| "learning_rate": 0.0003435185185185185, | |
| "loss": 0.2474, | |
| "step": 5030 | |
| }, | |
| { | |
| "epoch": 9.32, | |
| "grad_norm": 0.7134206295013428, | |
| "learning_rate": 0.0003342592592592593, | |
| "loss": 0.2406, | |
| "step": 5040 | |
| }, | |
| { | |
| "epoch": 9.34, | |
| "grad_norm": 0.510735273361206, | |
| "learning_rate": 0.00032500000000000004, | |
| "loss": 0.2181, | |
| "step": 5050 | |
| }, | |
| { | |
| "epoch": 9.36, | |
| "grad_norm": 0.7918537855148315, | |
| "learning_rate": 0.00031574074074074073, | |
| "loss": 0.2582, | |
| "step": 5060 | |
| }, | |
| { | |
| "epoch": 9.38, | |
| "grad_norm": 1.1104782819747925, | |
| "learning_rate": 0.00030648148148148147, | |
| "loss": 0.2531, | |
| "step": 5070 | |
| }, | |
| { | |
| "epoch": 9.4, | |
| "grad_norm": 0.8858848810195923, | |
| "learning_rate": 0.0002972222222222222, | |
| "loss": 0.256, | |
| "step": 5080 | |
| }, | |
| { | |
| "epoch": 9.42, | |
| "grad_norm": 0.9814337491989136, | |
| "learning_rate": 0.00028796296296296296, | |
| "loss": 0.2301, | |
| "step": 5090 | |
| }, | |
| { | |
| "epoch": 9.44, | |
| "grad_norm": 0.8091614246368408, | |
| "learning_rate": 0.0002787037037037037, | |
| "loss": 0.243, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 9.45, | |
| "grad_norm": 0.8779675960540771, | |
| "learning_rate": 0.00026944444444444444, | |
| "loss": 0.2248, | |
| "step": 5110 | |
| }, | |
| { | |
| "epoch": 9.47, | |
| "grad_norm": 0.7793891429901123, | |
| "learning_rate": 0.0002601851851851852, | |
| "loss": 0.2431, | |
| "step": 5120 | |
| }, | |
| { | |
| "epoch": 9.49, | |
| "grad_norm": 0.7594252824783325, | |
| "learning_rate": 0.0002509259259259259, | |
| "loss": 0.2766, | |
| "step": 5130 | |
| }, | |
| { | |
| "epoch": 9.51, | |
| "grad_norm": 0.7500623464584351, | |
| "learning_rate": 0.00024166666666666667, | |
| "loss": 0.2608, | |
| "step": 5140 | |
| }, | |
| { | |
| "epoch": 9.53, | |
| "grad_norm": 1.316781997680664, | |
| "learning_rate": 0.00023240740740740744, | |
| "loss": 0.2924, | |
| "step": 5150 | |
| }, | |
| { | |
| "epoch": 9.55, | |
| "grad_norm": 0.6205342411994934, | |
| "learning_rate": 0.00022314814814814815, | |
| "loss": 0.2192, | |
| "step": 5160 | |
| }, | |
| { | |
| "epoch": 9.57, | |
| "grad_norm": 0.4915425181388855, | |
| "learning_rate": 0.0002138888888888889, | |
| "loss": 0.2284, | |
| "step": 5170 | |
| }, | |
| { | |
| "epoch": 9.58, | |
| "grad_norm": 0.5837624669075012, | |
| "learning_rate": 0.00020462962962962964, | |
| "loss": 0.2481, | |
| "step": 5180 | |
| }, | |
| { | |
| "epoch": 9.6, | |
| "grad_norm": 1.0567339658737183, | |
| "learning_rate": 0.00019537037037037038, | |
| "loss": 0.2289, | |
| "step": 5190 | |
| }, | |
| { | |
| "epoch": 9.62, | |
| "grad_norm": 0.548608660697937, | |
| "learning_rate": 0.0001861111111111111, | |
| "loss": 0.2723, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 9.64, | |
| "grad_norm": 0.46330851316452026, | |
| "learning_rate": 0.00017685185185185187, | |
| "loss": 0.2482, | |
| "step": 5210 | |
| }, | |
| { | |
| "epoch": 9.66, | |
| "grad_norm": 0.5314125418663025, | |
| "learning_rate": 0.00016759259259259258, | |
| "loss": 0.2305, | |
| "step": 5220 | |
| }, | |
| { | |
| "epoch": 9.68, | |
| "grad_norm": 1.2373839616775513, | |
| "learning_rate": 0.00015833333333333335, | |
| "loss": 0.2508, | |
| "step": 5230 | |
| }, | |
| { | |
| "epoch": 9.69, | |
| "grad_norm": 0.63730788230896, | |
| "learning_rate": 0.00014907407407407407, | |
| "loss": 0.2366, | |
| "step": 5240 | |
| }, | |
| { | |
| "epoch": 9.71, | |
| "grad_norm": 0.8189606666564941, | |
| "learning_rate": 0.0001398148148148148, | |
| "loss": 0.2473, | |
| "step": 5250 | |
| }, | |
| { | |
| "epoch": 9.73, | |
| "grad_norm": 0.4223102629184723, | |
| "learning_rate": 0.00013055555555555558, | |
| "loss": 0.1921, | |
| "step": 5260 | |
| }, | |
| { | |
| "epoch": 9.75, | |
| "grad_norm": 0.8108687996864319, | |
| "learning_rate": 0.0001212962962962963, | |
| "loss": 0.211, | |
| "step": 5270 | |
| }, | |
| { | |
| "epoch": 9.77, | |
| "grad_norm": 1.0115864276885986, | |
| "learning_rate": 0.00011203703703703704, | |
| "loss": 0.2199, | |
| "step": 5280 | |
| }, | |
| { | |
| "epoch": 9.79, | |
| "grad_norm": 0.578581690788269, | |
| "learning_rate": 0.00010277777777777778, | |
| "loss": 0.2079, | |
| "step": 5290 | |
| }, | |
| { | |
| "epoch": 9.81, | |
| "grad_norm": 0.7213098406791687, | |
| "learning_rate": 9.351851851851852e-05, | |
| "loss": 0.2709, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 9.82, | |
| "grad_norm": 0.9571123123168945, | |
| "learning_rate": 8.425925925925925e-05, | |
| "loss": 0.2925, | |
| "step": 5310 | |
| }, | |
| { | |
| "epoch": 9.84, | |
| "grad_norm": 1.0856187343597412, | |
| "learning_rate": 7.5e-05, | |
| "loss": 0.2708, | |
| "step": 5320 | |
| }, | |
| { | |
| "epoch": 9.86, | |
| "grad_norm": 0.4601670801639557, | |
| "learning_rate": 6.574074074074075e-05, | |
| "loss": 0.1895, | |
| "step": 5330 | |
| }, | |
| { | |
| "epoch": 9.88, | |
| "grad_norm": 0.7248308062553406, | |
| "learning_rate": 5.648148148148148e-05, | |
| "loss": 0.2639, | |
| "step": 5340 | |
| }, | |
| { | |
| "epoch": 9.9, | |
| "grad_norm": 0.8658019304275513, | |
| "learning_rate": 4.722222222222222e-05, | |
| "loss": 0.2721, | |
| "step": 5350 | |
| }, | |
| { | |
| "epoch": 9.92, | |
| "grad_norm": 0.877480685710907, | |
| "learning_rate": 3.7962962962962964e-05, | |
| "loss": 0.2026, | |
| "step": 5360 | |
| }, | |
| { | |
| "epoch": 9.94, | |
| "grad_norm": 0.7867253422737122, | |
| "learning_rate": 2.8703703703703703e-05, | |
| "loss": 0.2431, | |
| "step": 5370 | |
| }, | |
| { | |
| "epoch": 9.95, | |
| "grad_norm": 0.5923830270767212, | |
| "learning_rate": 1.9444444444444445e-05, | |
| "loss": 0.2207, | |
| "step": 5380 | |
| }, | |
| { | |
| "epoch": 9.97, | |
| "grad_norm": 0.9413737058639526, | |
| "learning_rate": 1.0185185185185185e-05, | |
| "loss": 0.223, | |
| "step": 5390 | |
| }, | |
| { | |
| "epoch": 9.99, | |
| "grad_norm": 0.630954921245575, | |
| "learning_rate": 9.259259259259259e-07, | |
| "loss": 0.2169, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 9.99, | |
| "eval_accuracy": 0.9835156370358958, | |
| "eval_f1": 0.9881773422996485, | |
| "eval_loss": 0.0720474049448967, | |
| "eval_precision": 0.9887528399741967, | |
| "eval_recall": 0.988172197902048, | |
| "eval_runtime": 52.921, | |
| "eval_samples_per_second": 122.654, | |
| "eval_steps_per_second": 7.672, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 9.99, | |
| "step": 5400, | |
| "total_flos": 2.6962411056639013e+19, | |
| "train_loss": 0.442498734637543, | |
| "train_runtime": 5918.7974, | |
| "train_samples_per_second": 58.426, | |
| "train_steps_per_second": 0.912 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 5400, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 10, | |
| "save_steps": 500, | |
| "total_flos": 2.6962411056639013e+19, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |