{ "best_metric": null, "best_model_checkpoint": null, "epoch": 8.23598820058997, "eval_steps": 50, "global_step": 700, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.11799410029498525, "grad_norm": 2.4879140853881836, "learning_rate": 0.0003, "loss": 1.8567, "step": 10 }, { "epoch": 0.2359882005899705, "grad_norm": 0.8311281204223633, "learning_rate": 0.0002963855421686747, "loss": 1.3245, "step": 20 }, { "epoch": 0.35398230088495575, "grad_norm": 0.6665307879447937, "learning_rate": 0.0002927710843373494, "loss": 1.1834, "step": 30 }, { "epoch": 0.471976401179941, "grad_norm": 0.5632417798042297, "learning_rate": 0.0002891566265060241, "loss": 1.0915, "step": 40 }, { "epoch": 0.5899705014749262, "grad_norm": 0.4381982684135437, "learning_rate": 0.00028554216867469873, "loss": 1.0438, "step": 50 }, { "epoch": 0.5899705014749262, "eval_loss": 1.0292344093322754, "eval_runtime": 20.4608, "eval_samples_per_second": 8.015, "eval_steps_per_second": 0.684, "step": 50 }, { "epoch": 0.7079646017699115, "grad_norm": 0.43256932497024536, "learning_rate": 0.0002819277108433735, "loss": 1.0156, "step": 60 }, { "epoch": 0.8259587020648967, "grad_norm": 0.3582414388656616, "learning_rate": 0.0002783132530120482, "loss": 0.9793, "step": 70 }, { "epoch": 0.943952802359882, "grad_norm": 0.3671708405017853, "learning_rate": 0.00027469879518072284, "loss": 0.9644, "step": 80 }, { "epoch": 1.0589970501474926, "grad_norm": 0.34048739075660706, "learning_rate": 0.0002710843373493976, "loss": 0.9173, "step": 90 }, { "epoch": 1.176991150442478, "grad_norm": 0.29820743203163147, "learning_rate": 0.00026746987951807225, "loss": 0.8913, "step": 100 }, { "epoch": 1.176991150442478, "eval_loss": 0.9288875460624695, "eval_runtime": 20.3929, "eval_samples_per_second": 8.042, "eval_steps_per_second": 0.687, "step": 100 }, { "epoch": 1.294985250737463, "grad_norm": 0.31813672184944153, "learning_rate": 0.00026385542168674695, "loss": 0.8801, "step": 110 }, { "epoch": 1.4129793510324484, "grad_norm": 0.2814970016479492, "learning_rate": 0.00026024096385542165, "loss": 0.875, "step": 120 }, { "epoch": 1.5309734513274336, "grad_norm": 0.2815490663051605, "learning_rate": 0.00025662650602409636, "loss": 0.8642, "step": 130 }, { "epoch": 1.648967551622419, "grad_norm": 0.2590789198875427, "learning_rate": 0.00025301204819277106, "loss": 0.8501, "step": 140 }, { "epoch": 1.7669616519174043, "grad_norm": 0.25773778557777405, "learning_rate": 0.00024939759036144576, "loss": 0.8487, "step": 150 }, { "epoch": 1.7669616519174043, "eval_loss": 0.8774459362030029, "eval_runtime": 20.4395, "eval_samples_per_second": 8.024, "eval_steps_per_second": 0.685, "step": 150 }, { "epoch": 1.8849557522123894, "grad_norm": 0.2629424035549164, "learning_rate": 0.00024578313253012046, "loss": 0.8427, "step": 160 }, { "epoch": 2.0, "grad_norm": 0.2865707278251648, "learning_rate": 0.00024216867469879517, "loss": 0.8258, "step": 170 }, { "epoch": 2.117994100294985, "grad_norm": 0.27073633670806885, "learning_rate": 0.00023855421686746987, "loss": 0.7835, "step": 180 }, { "epoch": 2.2359882005899703, "grad_norm": 0.2692751884460449, "learning_rate": 0.00023493975903614455, "loss": 0.7804, "step": 190 }, { "epoch": 2.353982300884956, "grad_norm": 0.2548248767852783, "learning_rate": 0.00023132530120481928, "loss": 0.7756, "step": 200 }, { "epoch": 2.353982300884956, "eval_loss": 0.8462932109832764, "eval_runtime": 20.4134, "eval_samples_per_second": 8.034, "eval_steps_per_second": 0.686, "step": 200 }, { "epoch": 2.471976401179941, "grad_norm": 0.21938325464725494, "learning_rate": 0.00022771084337349395, "loss": 0.7695, "step": 210 }, { "epoch": 2.589970501474926, "grad_norm": 0.23754891753196716, "learning_rate": 0.00022409638554216866, "loss": 0.7771, "step": 220 }, { "epoch": 2.7079646017699117, "grad_norm": 0.2382248044013977, "learning_rate": 0.00022048192771084336, "loss": 0.7672, "step": 230 }, { "epoch": 2.825958702064897, "grad_norm": 0.2536454200744629, "learning_rate": 0.00021686746987951806, "loss": 0.7645, "step": 240 }, { "epoch": 2.943952802359882, "grad_norm": 0.21255475282669067, "learning_rate": 0.00021325301204819274, "loss": 0.7667, "step": 250 }, { "epoch": 2.943952802359882, "eval_loss": 0.8220995664596558, "eval_runtime": 20.3922, "eval_samples_per_second": 8.042, "eval_steps_per_second": 0.687, "step": 250 }, { "epoch": 3.0589970501474926, "grad_norm": 0.2579372227191925, "learning_rate": 0.00020963855421686747, "loss": 0.7418, "step": 260 }, { "epoch": 3.1769911504424777, "grad_norm": 0.2223750501871109, "learning_rate": 0.00020602409638554214, "loss": 0.7198, "step": 270 }, { "epoch": 3.2949852507374633, "grad_norm": 0.26154494285583496, "learning_rate": 0.00020240963855421685, "loss": 0.7188, "step": 280 }, { "epoch": 3.4129793510324484, "grad_norm": 0.2428540140390396, "learning_rate": 0.00019879518072289155, "loss": 0.7158, "step": 290 }, { "epoch": 3.5309734513274336, "grad_norm": 0.2056645303964615, "learning_rate": 0.00019518072289156625, "loss": 0.7103, "step": 300 }, { "epoch": 3.5309734513274336, "eval_loss": 0.8080394864082336, "eval_runtime": 20.4084, "eval_samples_per_second": 8.036, "eval_steps_per_second": 0.686, "step": 300 }, { "epoch": 3.6489675516224187, "grad_norm": 0.21578620374202728, "learning_rate": 0.00019156626506024093, "loss": 0.7133, "step": 310 }, { "epoch": 3.7669616519174043, "grad_norm": 0.21399493515491486, "learning_rate": 0.00018795180722891566, "loss": 0.7146, "step": 320 }, { "epoch": 3.8849557522123894, "grad_norm": 0.22075815498828888, "learning_rate": 0.00018433734939759034, "loss": 0.7183, "step": 330 }, { "epoch": 4.0, "grad_norm": 0.2605201005935669, "learning_rate": 0.00018072289156626507, "loss": 0.7142, "step": 340 }, { "epoch": 4.117994100294985, "grad_norm": 0.21863675117492676, "learning_rate": 0.00017710843373493974, "loss": 0.6761, "step": 350 }, { "epoch": 4.117994100294985, "eval_loss": 0.8006919026374817, "eval_runtime": 20.379, "eval_samples_per_second": 8.047, "eval_steps_per_second": 0.687, "step": 350 }, { "epoch": 4.23598820058997, "grad_norm": 0.19717003405094147, "learning_rate": 0.00017349397590361444, "loss": 0.6741, "step": 360 }, { "epoch": 4.353982300884955, "grad_norm": 0.21431218087673187, "learning_rate": 0.00016987951807228915, "loss": 0.6767, "step": 370 }, { "epoch": 4.4719764011799406, "grad_norm": 0.21559002995491028, "learning_rate": 0.00016626506024096385, "loss": 0.6775, "step": 380 }, { "epoch": 4.589970501474927, "grad_norm": 0.22161749005317688, "learning_rate": 0.00016265060240963853, "loss": 0.6754, "step": 390 }, { "epoch": 4.707964601769912, "grad_norm": 0.23757950961589813, "learning_rate": 0.00015903614457831326, "loss": 0.6718, "step": 400 }, { "epoch": 4.707964601769912, "eval_loss": 0.7892524003982544, "eval_runtime": 20.3783, "eval_samples_per_second": 8.048, "eval_steps_per_second": 0.687, "step": 400 }, { "epoch": 4.825958702064897, "grad_norm": 0.2082790583372116, "learning_rate": 0.00015542168674698793, "loss": 0.6774, "step": 410 }, { "epoch": 4.943952802359882, "grad_norm": 0.22040750086307526, "learning_rate": 0.00015180722891566264, "loss": 0.6708, "step": 420 }, { "epoch": 5.058997050147493, "grad_norm": 0.20725864171981812, "learning_rate": 0.00014819277108433734, "loss": 0.6561, "step": 430 }, { "epoch": 5.176991150442478, "grad_norm": 0.20603080093860626, "learning_rate": 0.00014457831325301204, "loss": 0.642, "step": 440 }, { "epoch": 5.294985250737463, "grad_norm": 0.21384873986244202, "learning_rate": 0.00014096385542168674, "loss": 0.6424, "step": 450 }, { "epoch": 5.294985250737463, "eval_loss": 0.7870513200759888, "eval_runtime": 20.3804, "eval_samples_per_second": 8.047, "eval_steps_per_second": 0.687, "step": 450 }, { "epoch": 5.412979351032448, "grad_norm": 0.20905406773090363, "learning_rate": 0.00013734939759036142, "loss": 0.6388, "step": 460 }, { "epoch": 5.530973451327434, "grad_norm": 0.20094947516918182, "learning_rate": 0.00013373493975903612, "loss": 0.643, "step": 470 }, { "epoch": 5.648967551622419, "grad_norm": 0.19701030850410461, "learning_rate": 0.00013012048192771083, "loss": 0.639, "step": 480 }, { "epoch": 5.766961651917404, "grad_norm": 0.2031456083059311, "learning_rate": 0.00012650602409638553, "loss": 0.6417, "step": 490 }, { "epoch": 5.88495575221239, "grad_norm": 0.20272108912467957, "learning_rate": 0.00012289156626506023, "loss": 0.6374, "step": 500 }, { "epoch": 5.88495575221239, "eval_loss": 0.7786917686462402, "eval_runtime": 20.3582, "eval_samples_per_second": 8.056, "eval_steps_per_second": 0.688, "step": 500 }, { "epoch": 6.0, "grad_norm": 0.2726292312145233, "learning_rate": 0.00011927710843373494, "loss": 0.6404, "step": 510 }, { "epoch": 6.117994100294985, "grad_norm": 0.19304881989955902, "learning_rate": 0.00011566265060240964, "loss": 0.6101, "step": 520 }, { "epoch": 6.23598820058997, "grad_norm": 0.18884815275669098, "learning_rate": 0.00011204819277108433, "loss": 0.6131, "step": 530 }, { "epoch": 6.353982300884955, "grad_norm": 0.19081687927246094, "learning_rate": 0.00010843373493975903, "loss": 0.6119, "step": 540 }, { "epoch": 6.4719764011799406, "grad_norm": 0.19593416154384613, "learning_rate": 0.00010481927710843373, "loss": 0.615, "step": 550 }, { "epoch": 6.4719764011799406, "eval_loss": 0.7764475345611572, "eval_runtime": 20.3753, "eval_samples_per_second": 8.049, "eval_steps_per_second": 0.687, "step": 550 }, { "epoch": 6.589970501474927, "grad_norm": 0.19110922515392303, "learning_rate": 0.00010120481927710842, "loss": 0.6135, "step": 560 }, { "epoch": 6.707964601769912, "grad_norm": 0.19444629549980164, "learning_rate": 9.759036144578313e-05, "loss": 0.6128, "step": 570 }, { "epoch": 6.825958702064897, "grad_norm": 0.19284790754318237, "learning_rate": 9.397590361445783e-05, "loss": 0.6126, "step": 580 }, { "epoch": 6.943952802359882, "grad_norm": 0.19341598451137543, "learning_rate": 9.036144578313253e-05, "loss": 0.6136, "step": 590 }, { "epoch": 7.058997050147493, "grad_norm": 0.18730440735816956, "learning_rate": 8.674698795180722e-05, "loss": 0.5993, "step": 600 }, { "epoch": 7.058997050147493, "eval_loss": 0.7759349942207336, "eval_runtime": 20.3649, "eval_samples_per_second": 8.053, "eval_steps_per_second": 0.687, "step": 600 }, { "epoch": 7.176991150442478, "grad_norm": 0.1910707950592041, "learning_rate": 8.313253012048193e-05, "loss": 0.5895, "step": 610 }, { "epoch": 7.294985250737463, "grad_norm": 0.18417201936244965, "learning_rate": 7.951807228915663e-05, "loss": 0.591, "step": 620 }, { "epoch": 7.412979351032448, "grad_norm": 0.19250455498695374, "learning_rate": 7.590361445783132e-05, "loss": 0.5864, "step": 630 }, { "epoch": 7.530973451327434, "grad_norm": 0.18243682384490967, "learning_rate": 7.228915662650602e-05, "loss": 0.5918, "step": 640 }, { "epoch": 7.648967551622419, "grad_norm": 0.20162852108478546, "learning_rate": 6.867469879518071e-05, "loss": 0.5903, "step": 650 }, { "epoch": 7.648967551622419, "eval_loss": 0.7702756524085999, "eval_runtime": 20.3772, "eval_samples_per_second": 8.048, "eval_steps_per_second": 0.687, "step": 650 }, { "epoch": 7.766961651917404, "grad_norm": 0.2087647020816803, "learning_rate": 6.506024096385541e-05, "loss": 0.5909, "step": 660 }, { "epoch": 7.88495575221239, "grad_norm": 0.1935969889163971, "learning_rate": 6.144578313253012e-05, "loss": 0.5883, "step": 670 }, { "epoch": 8.0, "grad_norm": 0.24114122986793518, "learning_rate": 5.783132530120482e-05, "loss": 0.5859, "step": 680 }, { "epoch": 8.117994100294986, "grad_norm": 0.19360019266605377, "learning_rate": 5.4216867469879516e-05, "loss": 0.5739, "step": 690 }, { "epoch": 8.23598820058997, "grad_norm": 0.19802173972129822, "learning_rate": 5.060240963855421e-05, "loss": 0.5755, "step": 700 }, { "epoch": 8.23598820058997, "eval_loss": 0.7725194692611694, "eval_runtime": 20.3781, "eval_samples_per_second": 8.048, "eval_steps_per_second": 0.687, "step": 700 } ], "logging_steps": 10, "max_steps": 840, "num_input_tokens_seen": 0, "num_train_epochs": 10, "save_steps": 100, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 1.2674273049671893e+19, "train_batch_size": 4, "trial_name": null, "trial_params": null }