| { | |
| "best_metric": 0.2939682602882385, | |
| "best_model_checkpoint": "autotrain-hyyfj-borac/checkpoint-104", | |
| "epoch": 2.0, | |
| "eval_steps": 500, | |
| "global_step": 104, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.038461538461538464, | |
| "grad_norm": 6.025815963745117, | |
| "learning_rate": 6.25e-06, | |
| "loss": 0.5818, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.07692307692307693, | |
| "grad_norm": 9.179534912109375, | |
| "learning_rate": 1.25e-05, | |
| "loss": 0.584, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.11538461538461539, | |
| "grad_norm": 4.207178115844727, | |
| "learning_rate": 1.8750000000000002e-05, | |
| "loss": 0.5044, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.15384615384615385, | |
| "grad_norm": 5.58507776260376, | |
| "learning_rate": 2.5e-05, | |
| "loss": 0.3244, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.19230769230769232, | |
| "grad_norm": 2.5677101612091064, | |
| "learning_rate": 3.125e-05, | |
| "loss": 0.2411, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.23076923076923078, | |
| "grad_norm": 3.239185094833374, | |
| "learning_rate": 3.7500000000000003e-05, | |
| "loss": 0.2572, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.2692307692307692, | |
| "grad_norm": 1.5567970275878906, | |
| "learning_rate": 4.375e-05, | |
| "loss": 0.0463, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.3076923076923077, | |
| "grad_norm": 0.34924909472465515, | |
| "learning_rate": 5e-05, | |
| "loss": 0.0205, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.34615384615384615, | |
| "grad_norm": 1.1856858730316162, | |
| "learning_rate": 4.928571428571429e-05, | |
| "loss": 0.2883, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.38461538461538464, | |
| "grad_norm": 9.244117736816406, | |
| "learning_rate": 4.8571428571428576e-05, | |
| "loss": 0.6795, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.4230769230769231, | |
| "grad_norm": 3.249788522720337, | |
| "learning_rate": 4.785714285714286e-05, | |
| "loss": 0.2357, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.46153846153846156, | |
| "grad_norm": 1.3072822093963623, | |
| "learning_rate": 4.714285714285714e-05, | |
| "loss": 0.0682, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "grad_norm": 3.7042837142944336, | |
| "learning_rate": 4.642857142857143e-05, | |
| "loss": 0.4232, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 0.5384615384615384, | |
| "grad_norm": 1.0529388189315796, | |
| "learning_rate": 4.5714285714285716e-05, | |
| "loss": 0.0337, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.5769230769230769, | |
| "grad_norm": 0.3905356228351593, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.2535, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.6153846153846154, | |
| "grad_norm": 4.982702255249023, | |
| "learning_rate": 4.428571428571428e-05, | |
| "loss": 0.3307, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 0.6538461538461539, | |
| "grad_norm": 0.19216814637184143, | |
| "learning_rate": 4.3571428571428576e-05, | |
| "loss": 0.3452, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 0.6923076923076923, | |
| "grad_norm": 4.820222854614258, | |
| "learning_rate": 4.2857142857142856e-05, | |
| "loss": 0.5677, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 0.7307692307692307, | |
| "grad_norm": 1.0272815227508545, | |
| "learning_rate": 4.214285714285714e-05, | |
| "loss": 0.4791, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 0.7692307692307693, | |
| "grad_norm": 1.5378814935684204, | |
| "learning_rate": 4.1428571428571437e-05, | |
| "loss": 0.0582, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.8076923076923077, | |
| "grad_norm": 0.989844560623169, | |
| "learning_rate": 4.0714285714285717e-05, | |
| "loss": 0.2427, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 0.8461538461538461, | |
| "grad_norm": 17.12215232849121, | |
| "learning_rate": 4e-05, | |
| "loss": 0.7269, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 0.8846153846153846, | |
| "grad_norm": 0.5058056712150574, | |
| "learning_rate": 3.928571428571429e-05, | |
| "loss": 0.2946, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 0.9230769230769231, | |
| "grad_norm": 11.418269157409668, | |
| "learning_rate": 3.857142857142858e-05, | |
| "loss": 0.6127, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 0.9615384615384616, | |
| "grad_norm": 0.5562339425086975, | |
| "learning_rate": 3.785714285714286e-05, | |
| "loss": 0.3462, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 0.3832690119743347, | |
| "learning_rate": 3.7142857142857143e-05, | |
| "loss": 0.0145, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.9326923076923077, | |
| "eval_auc": 0.49926362297496313, | |
| "eval_f1": 0.0, | |
| "eval_loss": 0.31564611196517944, | |
| "eval_precision": 0.0, | |
| "eval_recall": 0.0, | |
| "eval_runtime": 1.4422, | |
| "eval_samples_per_second": 72.114, | |
| "eval_steps_per_second": 4.854, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 1.0384615384615385, | |
| "grad_norm": 0.30034294724464417, | |
| "learning_rate": 3.642857142857143e-05, | |
| "loss": 0.0115, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 1.0769230769230769, | |
| "grad_norm": 4.174347877502441, | |
| "learning_rate": 3.571428571428572e-05, | |
| "loss": 0.3074, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 1.1153846153846154, | |
| "grad_norm": 4.107996940612793, | |
| "learning_rate": 3.5e-05, | |
| "loss": 0.658, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 1.1538461538461537, | |
| "grad_norm": 3.2274246215820312, | |
| "learning_rate": 3.428571428571429e-05, | |
| "loss": 0.3278, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 1.1923076923076923, | |
| "grad_norm": 3.1883745193481445, | |
| "learning_rate": 3.357142857142857e-05, | |
| "loss": 0.6058, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 1.2307692307692308, | |
| "grad_norm": 0.4613792598247528, | |
| "learning_rate": 3.285714285714286e-05, | |
| "loss": 0.0172, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 1.2692307692307692, | |
| "grad_norm": 0.6901736855506897, | |
| "learning_rate": 3.2142857142857144e-05, | |
| "loss": 0.0238, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 1.3076923076923077, | |
| "grad_norm": 0.6056439876556396, | |
| "learning_rate": 3.142857142857143e-05, | |
| "loss": 0.2596, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 1.3461538461538463, | |
| "grad_norm": 0.6580448746681213, | |
| "learning_rate": 3.071428571428572e-05, | |
| "loss": 0.649, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 1.3846153846153846, | |
| "grad_norm": 0.5795997381210327, | |
| "learning_rate": 3e-05, | |
| "loss": 0.0279, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 1.4230769230769231, | |
| "grad_norm": 3.1971044540405273, | |
| "learning_rate": 2.9285714285714288e-05, | |
| "loss": 0.471, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 1.4615384615384617, | |
| "grad_norm": 0.772407054901123, | |
| "learning_rate": 2.857142857142857e-05, | |
| "loss": 0.2271, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "grad_norm": 0.8196155428886414, | |
| "learning_rate": 2.785714285714286e-05, | |
| "loss": 0.2429, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 1.5384615384615383, | |
| "grad_norm": 1.0081214904785156, | |
| "learning_rate": 2.714285714285714e-05, | |
| "loss": 0.2523, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.5769230769230769, | |
| "grad_norm": 0.9642893075942993, | |
| "learning_rate": 2.642857142857143e-05, | |
| "loss": 0.4355, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 1.6153846153846154, | |
| "grad_norm": 2.410957098007202, | |
| "learning_rate": 2.5714285714285714e-05, | |
| "loss": 0.213, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 1.6538461538461537, | |
| "grad_norm": 0.9146873950958252, | |
| "learning_rate": 2.5e-05, | |
| "loss": 0.1876, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 1.6923076923076923, | |
| "grad_norm": 1.0689085721969604, | |
| "learning_rate": 2.4285714285714288e-05, | |
| "loss": 0.0379, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 1.7307692307692308, | |
| "grad_norm": 5.386611461639404, | |
| "learning_rate": 2.357142857142857e-05, | |
| "loss": 0.6832, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 1.7692307692307692, | |
| "grad_norm": 6.125481605529785, | |
| "learning_rate": 2.2857142857142858e-05, | |
| "loss": 0.519, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 1.8076923076923077, | |
| "grad_norm": 10.108115196228027, | |
| "learning_rate": 2.214285714285714e-05, | |
| "loss": 0.4923, | |
| "step": 94 | |
| }, | |
| { | |
| "epoch": 1.8461538461538463, | |
| "grad_norm": 1.2555135488510132, | |
| "learning_rate": 2.1428571428571428e-05, | |
| "loss": 0.0383, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 1.8846153846153846, | |
| "grad_norm": 2.7871651649475098, | |
| "learning_rate": 2.0714285714285718e-05, | |
| "loss": 0.2861, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 1.9230769230769231, | |
| "grad_norm": 3.00709867477417, | |
| "learning_rate": 2e-05, | |
| "loss": 0.2901, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 1.9615384615384617, | |
| "grad_norm": 0.6466115713119507, | |
| "learning_rate": 1.928571428571429e-05, | |
| "loss": 0.021, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 0.5404049158096313, | |
| "learning_rate": 1.8571428571428572e-05, | |
| "loss": 0.2653, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.9326923076923077, | |
| "eval_auc": 0.6833578792341679, | |
| "eval_f1": 0.0, | |
| "eval_loss": 0.2939682602882385, | |
| "eval_precision": 0.0, | |
| "eval_recall": 0.0, | |
| "eval_runtime": 1.3953, | |
| "eval_samples_per_second": 74.536, | |
| "eval_steps_per_second": 5.017, | |
| "step": 104 | |
| } | |
| ], | |
| "logging_steps": 2, | |
| "max_steps": 156, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 500, | |
| "total_flos": 54595543987200.0, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |