{ "best_metric": 0.4139060080051422, "best_model_checkpoint": "mikhail-panzo/fil_b32_le5_s4000/checkpoint-4000", "epoch": 88.88888888888889, "eval_steps": 500, "global_step": 4000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.1111111111111112, "grad_norm": 4.398683071136475, "learning_rate": 2.4500000000000004e-07, "loss": 0.8108, "step": 50 }, { "epoch": 2.2222222222222223, "grad_norm": 3.726436138153076, "learning_rate": 4.95e-07, "loss": 0.792, "step": 100 }, { "epoch": 3.3333333333333335, "grad_norm": 2.0379676818847656, "learning_rate": 7.450000000000001e-07, "loss": 0.7413, "step": 150 }, { "epoch": 4.444444444444445, "grad_norm": 2.0460364818573, "learning_rate": 9.950000000000002e-07, "loss": 0.7342, "step": 200 }, { "epoch": 5.555555555555555, "grad_norm": 2.803539276123047, "learning_rate": 1.2450000000000002e-06, "loss": 0.7147, "step": 250 }, { "epoch": 6.666666666666667, "grad_norm": 1.9818241596221924, "learning_rate": 1.495e-06, "loss": 0.7072, "step": 300 }, { "epoch": 7.777777777777778, "grad_norm": 3.081399917602539, "learning_rate": 1.745e-06, "loss": 0.6843, "step": 350 }, { "epoch": 8.88888888888889, "grad_norm": 2.4465785026550293, "learning_rate": 1.9950000000000004e-06, "loss": 0.657, "step": 400 }, { "epoch": 10.0, "grad_norm": 2.929323434829712, "learning_rate": 2.245e-06, "loss": 0.6597, "step": 450 }, { "epoch": 11.11111111111111, "grad_norm": 1.419311285018921, "learning_rate": 2.4950000000000003e-06, "loss": 0.6246, "step": 500 }, { "epoch": 11.11111111111111, "eval_loss": 0.5375720262527466, "eval_runtime": 9.2568, "eval_samples_per_second": 17.177, "eval_steps_per_second": 2.161, "step": 500 }, { "epoch": 12.222222222222221, "grad_norm": 2.3438374996185303, "learning_rate": 2.7450000000000004e-06, "loss": 0.6018, "step": 550 }, { "epoch": 13.333333333333334, "grad_norm": 1.7441222667694092, "learning_rate": 2.995e-06, "loss": 0.5547, "step": 600 }, { "epoch": 14.444444444444445, "grad_norm": 1.5592021942138672, "learning_rate": 3.2450000000000003e-06, "loss": 0.5466, "step": 650 }, { "epoch": 15.555555555555555, "grad_norm": 1.305444359779358, "learning_rate": 3.495e-06, "loss": 0.535, "step": 700 }, { "epoch": 16.666666666666668, "grad_norm": 2.2067477703094482, "learning_rate": 3.745e-06, "loss": 0.5343, "step": 750 }, { "epoch": 17.77777777777778, "grad_norm": 1.667480707168579, "learning_rate": 3.995000000000001e-06, "loss": 0.5296, "step": 800 }, { "epoch": 18.88888888888889, "grad_norm": 1.5465797185897827, "learning_rate": 4.245e-06, "loss": 0.5198, "step": 850 }, { "epoch": 20.0, "grad_norm": 2.760589361190796, "learning_rate": 4.495e-06, "loss": 0.5193, "step": 900 }, { "epoch": 21.11111111111111, "grad_norm": 1.4570050239562988, "learning_rate": 4.745e-06, "loss": 0.5124, "step": 950 }, { "epoch": 22.22222222222222, "grad_norm": 2.1914265155792236, "learning_rate": 4.9950000000000005e-06, "loss": 0.5034, "step": 1000 }, { "epoch": 22.22222222222222, "eval_loss": 0.45661377906799316, "eval_runtime": 9.2158, "eval_samples_per_second": 17.253, "eval_steps_per_second": 2.17, "step": 1000 }, { "epoch": 23.333333333333332, "grad_norm": 1.941751480102539, "learning_rate": 5.245e-06, "loss": 0.5046, "step": 1050 }, { "epoch": 24.444444444444443, "grad_norm": 1.9293475151062012, "learning_rate": 5.495000000000001e-06, "loss": 0.4948, "step": 1100 }, { "epoch": 25.555555555555557, "grad_norm": 1.3278849124908447, "learning_rate": 5.745000000000001e-06, "loss": 0.4931, "step": 1150 }, { "epoch": 26.666666666666668, "grad_norm": 1.1657841205596924, "learning_rate": 5.995000000000001e-06, "loss": 0.496, "step": 1200 }, { "epoch": 27.77777777777778, "grad_norm": 1.8730145692825317, "learning_rate": 6.245000000000001e-06, "loss": 0.4939, "step": 1250 }, { "epoch": 28.88888888888889, "grad_norm": 2.1156740188598633, "learning_rate": 6.4950000000000005e-06, "loss": 0.4908, "step": 1300 }, { "epoch": 30.0, "grad_norm": 1.799806833267212, "learning_rate": 6.745000000000001e-06, "loss": 0.4875, "step": 1350 }, { "epoch": 31.11111111111111, "grad_norm": 1.762253761291504, "learning_rate": 6.995000000000001e-06, "loss": 0.4836, "step": 1400 }, { "epoch": 32.22222222222222, "grad_norm": 1.305191993713379, "learning_rate": 7.245000000000001e-06, "loss": 0.4811, "step": 1450 }, { "epoch": 33.333333333333336, "grad_norm": 1.5870022773742676, "learning_rate": 7.495000000000001e-06, "loss": 0.4807, "step": 1500 }, { "epoch": 33.333333333333336, "eval_loss": 0.43601250648498535, "eval_runtime": 9.5435, "eval_samples_per_second": 16.66, "eval_steps_per_second": 2.096, "step": 1500 }, { "epoch": 34.44444444444444, "grad_norm": 2.632877826690674, "learning_rate": 7.745e-06, "loss": 0.4782, "step": 1550 }, { "epoch": 35.55555555555556, "grad_norm": 1.3705276250839233, "learning_rate": 7.995e-06, "loss": 0.48, "step": 1600 }, { "epoch": 36.666666666666664, "grad_norm": 1.9232587814331055, "learning_rate": 8.245000000000002e-06, "loss": 0.47, "step": 1650 }, { "epoch": 37.77777777777778, "grad_norm": 1.3885018825531006, "learning_rate": 8.495e-06, "loss": 0.4711, "step": 1700 }, { "epoch": 38.888888888888886, "grad_norm": 2.4857094287872314, "learning_rate": 8.745000000000002e-06, "loss": 0.4721, "step": 1750 }, { "epoch": 40.0, "grad_norm": 1.7662663459777832, "learning_rate": 8.995000000000001e-06, "loss": 0.4656, "step": 1800 }, { "epoch": 41.111111111111114, "grad_norm": 1.906548261642456, "learning_rate": 9.245e-06, "loss": 0.463, "step": 1850 }, { "epoch": 42.22222222222222, "grad_norm": 1.7204883098602295, "learning_rate": 9.495000000000001e-06, "loss": 0.4592, "step": 1900 }, { "epoch": 43.333333333333336, "grad_norm": 1.3313167095184326, "learning_rate": 9.745e-06, "loss": 0.4581, "step": 1950 }, { "epoch": 44.44444444444444, "grad_norm": 1.94256591796875, "learning_rate": 9.995000000000002e-06, "loss": 0.4582, "step": 2000 }, { "epoch": 44.44444444444444, "eval_loss": 0.4244868755340576, "eval_runtime": 9.1316, "eval_samples_per_second": 17.412, "eval_steps_per_second": 2.19, "step": 2000 }, { "epoch": 45.55555555555556, "grad_norm": 2.019158124923706, "learning_rate": 9.755e-06, "loss": 0.4573, "step": 2050 }, { "epoch": 46.666666666666664, "grad_norm": 1.7636100053787231, "learning_rate": 9.505000000000001e-06, "loss": 0.4642, "step": 2100 }, { "epoch": 47.77777777777778, "grad_norm": 2.0878355503082275, "learning_rate": 9.260000000000001e-06, "loss": 0.454, "step": 2150 }, { "epoch": 48.888888888888886, "grad_norm": 1.5207270383834839, "learning_rate": 9.01e-06, "loss": 0.4573, "step": 2200 }, { "epoch": 50.0, "grad_norm": 2.592440605163574, "learning_rate": 8.76e-06, "loss": 0.4557, "step": 2250 }, { "epoch": 51.111111111111114, "grad_norm": 4.970732688903809, "learning_rate": 8.51e-06, "loss": 0.4565, "step": 2300 }, { "epoch": 52.22222222222222, "grad_norm": 1.2565674781799316, "learning_rate": 8.26e-06, "loss": 0.4492, "step": 2350 }, { "epoch": 53.333333333333336, "grad_norm": 1.402048110961914, "learning_rate": 8.010000000000001e-06, "loss": 0.4477, "step": 2400 }, { "epoch": 54.44444444444444, "grad_norm": 2.7496023178100586, "learning_rate": 7.76e-06, "loss": 0.4484, "step": 2450 }, { "epoch": 55.55555555555556, "grad_norm": 2.6707046031951904, "learning_rate": 7.510000000000001e-06, "loss": 0.4541, "step": 2500 }, { "epoch": 55.55555555555556, "eval_loss": 0.42134132981300354, "eval_runtime": 9.5109, "eval_samples_per_second": 16.718, "eval_steps_per_second": 2.103, "step": 2500 }, { "epoch": 56.666666666666664, "grad_norm": 1.2582786083221436, "learning_rate": 7.260000000000001e-06, "loss": 0.4497, "step": 2550 }, { "epoch": 57.77777777777778, "grad_norm": 1.7701936960220337, "learning_rate": 7.01e-06, "loss": 0.443, "step": 2600 }, { "epoch": 58.888888888888886, "grad_norm": 1.3177437782287598, "learning_rate": 6.760000000000001e-06, "loss": 0.4432, "step": 2650 }, { "epoch": 60.0, "grad_norm": 1.4644196033477783, "learning_rate": 6.51e-06, "loss": 0.4617, "step": 2700 }, { "epoch": 61.111111111111114, "grad_norm": 1.3179391622543335, "learning_rate": 6.26e-06, "loss": 0.4563, "step": 2750 }, { "epoch": 62.22222222222222, "grad_norm": 1.5823533535003662, "learning_rate": 6.01e-06, "loss": 0.442, "step": 2800 }, { "epoch": 63.333333333333336, "grad_norm": 1.7668250799179077, "learning_rate": 5.76e-06, "loss": 0.4421, "step": 2850 }, { "epoch": 64.44444444444444, "grad_norm": 1.5832878351211548, "learning_rate": 5.510000000000001e-06, "loss": 0.4467, "step": 2900 }, { "epoch": 65.55555555555556, "grad_norm": 1.7351211309432983, "learning_rate": 5.2600000000000005e-06, "loss": 0.4395, "step": 2950 }, { "epoch": 66.66666666666667, "grad_norm": 1.2300982475280762, "learning_rate": 5.01e-06, "loss": 0.4409, "step": 3000 }, { "epoch": 66.66666666666667, "eval_loss": 0.415843665599823, "eval_runtime": 9.3247, "eval_samples_per_second": 17.051, "eval_steps_per_second": 2.145, "step": 3000 }, { "epoch": 67.77777777777777, "grad_norm": 1.788053035736084, "learning_rate": 4.76e-06, "loss": 0.4393, "step": 3050 }, { "epoch": 68.88888888888889, "grad_norm": 1.4726969003677368, "learning_rate": 4.510000000000001e-06, "loss": 0.4383, "step": 3100 }, { "epoch": 70.0, "grad_norm": 2.2467355728149414, "learning_rate": 4.26e-06, "loss": 0.4406, "step": 3150 }, { "epoch": 71.11111111111111, "grad_norm": 1.4086047410964966, "learning_rate": 4.0100000000000006e-06, "loss": 0.4373, "step": 3200 }, { "epoch": 72.22222222222223, "grad_norm": 1.154167890548706, "learning_rate": 3.7600000000000004e-06, "loss": 0.4417, "step": 3250 }, { "epoch": 73.33333333333333, "grad_norm": 1.7119176387786865, "learning_rate": 3.5100000000000003e-06, "loss": 0.4319, "step": 3300 }, { "epoch": 74.44444444444444, "grad_norm": 1.240720510482788, "learning_rate": 3.2600000000000006e-06, "loss": 0.4386, "step": 3350 }, { "epoch": 75.55555555555556, "grad_norm": 1.281227946281433, "learning_rate": 3.01e-06, "loss": 0.4404, "step": 3400 }, { "epoch": 76.66666666666667, "grad_norm": 1.456945776939392, "learning_rate": 2.7600000000000003e-06, "loss": 0.434, "step": 3450 }, { "epoch": 77.77777777777777, "grad_norm": 1.233961582183838, "learning_rate": 2.51e-06, "loss": 0.4469, "step": 3500 }, { "epoch": 77.77777777777777, "eval_loss": 0.41530150175094604, "eval_runtime": 9.2669, "eval_samples_per_second": 17.158, "eval_steps_per_second": 2.158, "step": 3500 }, { "epoch": 78.88888888888889, "grad_norm": 1.3688515424728394, "learning_rate": 2.2600000000000004e-06, "loss": 0.438, "step": 3550 }, { "epoch": 80.0, "grad_norm": 2.092521905899048, "learning_rate": 2.0100000000000002e-06, "loss": 0.4347, "step": 3600 }, { "epoch": 81.11111111111111, "grad_norm": 1.285953164100647, "learning_rate": 1.76e-06, "loss": 0.4416, "step": 3650 }, { "epoch": 82.22222222222223, "grad_norm": 1.9712281227111816, "learning_rate": 1.5100000000000002e-06, "loss": 0.4388, "step": 3700 }, { "epoch": 83.33333333333333, "grad_norm": 1.383866786956787, "learning_rate": 1.26e-06, "loss": 0.435, "step": 3750 }, { "epoch": 84.44444444444444, "grad_norm": 1.2552483081817627, "learning_rate": 1.01e-06, "loss": 0.4441, "step": 3800 }, { "epoch": 85.55555555555556, "grad_norm": 1.152358055114746, "learning_rate": 7.6e-07, "loss": 0.439, "step": 3850 }, { "epoch": 86.66666666666667, "grad_norm": 1.0879451036453247, "learning_rate": 5.1e-07, "loss": 0.4355, "step": 3900 }, { "epoch": 87.77777777777777, "grad_norm": 1.6243548393249512, "learning_rate": 2.6e-07, "loss": 0.4377, "step": 3950 }, { "epoch": 88.88888888888889, "grad_norm": 1.1442890167236328, "learning_rate": 1e-08, "loss": 0.4337, "step": 4000 }, { "epoch": 88.88888888888889, "eval_loss": 0.4139060080051422, "eval_runtime": 8.8769, "eval_samples_per_second": 17.912, "eval_steps_per_second": 2.253, "step": 4000 } ], "logging_steps": 50, "max_steps": 4000, "num_input_tokens_seen": 0, "num_train_epochs": 89, "save_steps": 500, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 2.752618142335248e+16, "train_batch_size": 16, "trial_name": null, "trial_params": null }