Instructions to use Sliden/mofu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Sliden/mofu with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_3b") model = PeftModel.from_pretrained(base_model, "Sliden/mofu") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 2.9617021276595743, | |
| "eval_steps": 50, | |
| "global_step": 174, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.02, | |
| "learning_rate": 2e-05, | |
| "loss": 1.6896, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "learning_rate": 4e-05, | |
| "loss": 1.632, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "learning_rate": 6e-05, | |
| "loss": 1.7197, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "learning_rate": 8e-05, | |
| "loss": 1.6988, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "learning_rate": 0.0001, | |
| "loss": 1.4945, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "learning_rate": 0.00012, | |
| "loss": 1.4763, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "learning_rate": 0.00014, | |
| "loss": 1.4645, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "learning_rate": 0.00016, | |
| "loss": 1.1569, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "learning_rate": 0.00018, | |
| "loss": 1.4501, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "learning_rate": 0.0002, | |
| "loss": 1.1972, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "learning_rate": 0.00019998209226697376, | |
| "loss": 1.1479, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 0.00019992837548163316, | |
| "loss": 1.1791, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "learning_rate": 0.00019983886888289514, | |
| "loss": 1.1471, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 0.00019971360452796522, | |
| "loss": 0.9662, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "learning_rate": 0.0001995526272808559, | |
| "loss": 1.2166, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "learning_rate": 0.0001993559947963185, | |
| "loss": 1.1023, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 0.00019912377749919374, | |
| "loss": 0.9719, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "learning_rate": 0.00019885605855918885, | |
| "loss": 0.9122, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "learning_rate": 0.00019855293386108992, | |
| "loss": 0.8808, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "learning_rate": 0.00019821451197042026, | |
| "loss": 1.0081, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "learning_rate": 0.00019784091409455728, | |
| "loss": 1.0147, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "learning_rate": 0.00019743227403932134, | |
| "loss": 0.8792, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "learning_rate": 0.00019698873816105273, | |
| "loss": 0.8762, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "learning_rate": 0.00019651046531419332, | |
| "loss": 0.7916, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.43, | |
| "learning_rate": 0.0001959976267943923, | |
| "loss": 0.8967, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "learning_rate": 0.0001954504062771555, | |
| "loss": 1.0575, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "learning_rate": 0.00019486899975206166, | |
| "loss": 0.9374, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "learning_rate": 0.00019425361545256727, | |
| "loss": 0.8697, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "learning_rate": 0.00019360447378142728, | |
| "loss": 0.788, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "learning_rate": 0.00019292180723175654, | |
| "loss": 0.8215, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 0.00019220586030376134, | |
| "loss": 0.8943, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "learning_rate": 0.00019145688941717075, | |
| "loss": 0.7825, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "learning_rate": 0.00019067516281939825, | |
| "loss": 0.9878, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "learning_rate": 0.00018986096048946824, | |
| "loss": 0.8517, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "learning_rate": 0.00018901457403773967, | |
| "loss": 0.8132, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "learning_rate": 0.00018813630660146488, | |
| "loss": 0.9143, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "learning_rate": 0.0001872264727362194, | |
| "loss": 0.8659, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "learning_rate": 0.00018628539830324229, | |
| "loss": 0.7977, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "learning_rate": 0.00018531342035272766, | |
| "loss": 0.8188, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "learning_rate": 0.00018431088700310844, | |
| "loss": 0.871, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "learning_rate": 0.00018327815731637612, | |
| "loss": 0.6939, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 0.71, | |
| "learning_rate": 0.00018221560116948103, | |
| "loss": 0.8147, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "learning_rate": 0.00018112359912185924, | |
| "loss": 0.8898, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "learning_rate": 0.00018000254227913348, | |
| "loss": 0.8074, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "learning_rate": 0.0001788528321530366, | |
| "loss": 0.8351, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "learning_rate": 0.00017767488051760857, | |
| "loss": 0.8811, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "learning_rate": 0.00017646910926171747, | |
| "loss": 0.792, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "learning_rate": 0.00017523595023795813, | |
| "loss": 0.8558, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "learning_rate": 0.0001739758451079821, | |
| "loss": 0.8308, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "learning_rate": 0.00017268924518431438, | |
| "loss": 0.8504, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "eval_loss": 0.8740054368972778, | |
| "eval_runtime": 0.8959, | |
| "eval_samples_per_second": 22.324, | |
| "eval_steps_per_second": 5.581, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "learning_rate": 0.0001713766112687139, | |
| "loss": 0.83, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "learning_rate": 0.0001700384134871351, | |
| "loss": 0.7499, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "learning_rate": 0.00016867513112135013, | |
| "loss": 0.8685, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "learning_rate": 0.0001672872524372919, | |
| "loss": 0.807, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "learning_rate": 0.00016587527451017938, | |
| "loss": 0.8627, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "learning_rate": 0.0001644397030464877, | |
| "loss": 0.7606, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "learning_rate": 0.00016298105220282713, | |
| "loss": 0.8284, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "learning_rate": 0.00016149984440179537, | |
| "loss": 0.8585, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 0.00015999661014486956, | |
| "loss": 0.8819, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "learning_rate": 0.0001584718878224047, | |
| "loss": 0.6723, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "learning_rate": 0.00015692622352080662, | |
| "loss": 0.7435, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "learning_rate": 0.00015536017082694846, | |
| "loss": 0.7002, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "learning_rate": 0.00015377429062990122, | |
| "loss": 0.7433, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "learning_rate": 0.00015216915092004847, | |
| "loss": 0.7356, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "learning_rate": 0.0001505453265856581, | |
| "loss": 0.7616, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 1.12, | |
| "learning_rate": 0.00014890339920698334, | |
| "loss": 0.7192, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "learning_rate": 0.0001472439568479671, | |
| "loss": 0.7354, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "learning_rate": 0.00014556759384562416, | |
| "loss": 0.7623, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "learning_rate": 0.00014387491059717652, | |
| "loss": 0.724, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 1.19, | |
| "learning_rate": 0.0001421665133450184, | |
| "loss": 0.8136, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 1.21, | |
| "learning_rate": 0.0001404430139595877, | |
| "loss": 0.8083, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "learning_rate": 0.00013870502972022173, | |
| "loss": 0.7054, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "learning_rate": 0.0001369531830940757, | |
| "loss": 0.7301, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "learning_rate": 0.0001351881015131833, | |
| "loss": 0.6925, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "learning_rate": 0.000133410417149739, | |
| "loss": 0.7191, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 1.29, | |
| "learning_rate": 0.0001316207666896824, | |
| "loss": 0.6814, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "learning_rate": 0.00012981979110466654, | |
| "loss": 0.6916, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "learning_rate": 0.00012800813542249072, | |
| "loss": 0.5781, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "learning_rate": 0.0001261864484960807, | |
| "loss": 0.8074, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 1.36, | |
| "learning_rate": 0.0001243553827710992, | |
| "loss": 0.6563, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "learning_rate": 0.00012251559405226941, | |
| "loss": 0.6436, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "learning_rate": 0.00012066774126849529, | |
| "loss": 0.7692, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 1.41, | |
| "learning_rate": 0.00011881248623686338, | |
| "loss": 0.6265, | |
| "step": 83 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "learning_rate": 0.00011695049342560968, | |
| "loss": 0.5772, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 1.45, | |
| "learning_rate": 0.00011508242971613741, | |
| "loss": 0.6841, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "learning_rate": 0.00011320896416417026, | |
| "loss": 0.7439, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "learning_rate": 0.000111330767760127, | |
| "loss": 0.7303, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "learning_rate": 0.00010944851318880314, | |
| "loss": 0.7767, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "learning_rate": 0.00010756287458844569, | |
| "loss": 0.6361, | |
| "step": 89 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "learning_rate": 0.00010567452730930743, | |
| "loss": 0.6535, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "learning_rate": 0.00010378414767176705, | |
| "loss": 0.7178, | |
| "step": 91 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "learning_rate": 0.0001018924127241019, | |
| "loss": 0.6977, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 1.58, | |
| "learning_rate": 0.0001, | |
| "loss": 0.704, | |
| "step": 93 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "learning_rate": 9.810758727589813e-05, | |
| "loss": 0.8041, | |
| "step": 94 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "learning_rate": 9.621585232823298e-05, | |
| "loss": 0.7026, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "learning_rate": 9.432547269069261e-05, | |
| "loss": 0.6892, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 1.65, | |
| "learning_rate": 9.243712541155436e-05, | |
| "loss": 0.7073, | |
| "step": 97 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "learning_rate": 9.055148681119688e-05, | |
| "loss": 0.7765, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "learning_rate": 8.866923223987302e-05, | |
| "loss": 0.6896, | |
| "step": 99 | |
| }, | |
| { | |
| "epoch": 1.7, | |
| "learning_rate": 8.679103583582979e-05, | |
| "loss": 0.6527, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 1.7, | |
| "eval_loss": 0.8596932291984558, | |
| "eval_runtime": 0.897, | |
| "eval_samples_per_second": 22.297, | |
| "eval_steps_per_second": 5.574, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 1.72, | |
| "learning_rate": 8.491757028386263e-05, | |
| "loss": 0.6335, | |
| "step": 101 | |
| }, | |
| { | |
| "epoch": 1.74, | |
| "learning_rate": 8.304950657439033e-05, | |
| "loss": 0.6348, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "learning_rate": 8.118751376313664e-05, | |
| "loss": 0.6983, | |
| "step": 103 | |
| }, | |
| { | |
| "epoch": 1.77, | |
| "learning_rate": 7.93322587315047e-05, | |
| "loss": 0.7995, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "learning_rate": 7.74844059477306e-05, | |
| "loss": 0.654, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 1.8, | |
| "learning_rate": 7.564461722890081e-05, | |
| "loss": 0.6507, | |
| "step": 106 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "learning_rate": 7.381355150391933e-05, | |
| "loss": 0.6623, | |
| "step": 107 | |
| }, | |
| { | |
| "epoch": 1.84, | |
| "learning_rate": 7.19918645775093e-05, | |
| "loss": 0.7539, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 1.86, | |
| "learning_rate": 7.018020889533348e-05, | |
| "loss": 0.755, | |
| "step": 109 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "learning_rate": 6.83792333103176e-05, | |
| "loss": 0.6394, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "learning_rate": 6.658958285026102e-05, | |
| "loss": 0.7545, | |
| "step": 111 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "learning_rate": 6.48118984868167e-05, | |
| "loss": 0.7215, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 1.92, | |
| "learning_rate": 6.304681690592431e-05, | |
| "loss": 0.581, | |
| "step": 113 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "learning_rate": 6.129497027977829e-05, | |
| "loss": 0.673, | |
| "step": 114 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "learning_rate": 5.955698604041231e-05, | |
| "loss": 0.6878, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "learning_rate": 5.7833486654981606e-05, | |
| "loss": 0.738, | |
| "step": 116 | |
| }, | |
| { | |
| "epoch": 1.99, | |
| "learning_rate": 5.6125089402823485e-05, | |
| "loss": 0.812, | |
| "step": 117 | |
| }, | |
| { | |
| "epoch": 2.01, | |
| "learning_rate": 5.443240615437586e-05, | |
| "loss": 0.5997, | |
| "step": 118 | |
| }, | |
| { | |
| "epoch": 2.03, | |
| "learning_rate": 5.275604315203293e-05, | |
| "loss": 0.6187, | |
| "step": 119 | |
| }, | |
| { | |
| "epoch": 2.04, | |
| "learning_rate": 5.109660079301668e-05, | |
| "loss": 0.7232, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 2.06, | |
| "learning_rate": 4.945467341434195e-05, | |
| "loss": 0.7089, | |
| "step": 121 | |
| }, | |
| { | |
| "epoch": 2.08, | |
| "learning_rate": 4.783084907995156e-05, | |
| "loss": 0.6914, | |
| "step": 122 | |
| }, | |
| { | |
| "epoch": 2.09, | |
| "learning_rate": 4.622570937009879e-05, | |
| "loss": 0.6114, | |
| "step": 123 | |
| }, | |
| { | |
| "epoch": 2.11, | |
| "learning_rate": 4.4639829173051554e-05, | |
| "loss": 0.5577, | |
| "step": 124 | |
| }, | |
| { | |
| "epoch": 2.13, | |
| "learning_rate": 4.307377647919343e-05, | |
| "loss": 0.6421, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 2.14, | |
| "learning_rate": 4.152811217759529e-05, | |
| "loss": 0.6418, | |
| "step": 126 | |
| }, | |
| { | |
| "epoch": 2.16, | |
| "learning_rate": 4.000338985513046e-05, | |
| "loss": 0.6358, | |
| "step": 127 | |
| }, | |
| { | |
| "epoch": 2.18, | |
| "learning_rate": 3.8500155598204644e-05, | |
| "loss": 0.6426, | |
| "step": 128 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "learning_rate": 3.701894779717286e-05, | |
| "loss": 0.5322, | |
| "step": 129 | |
| }, | |
| { | |
| "epoch": 2.21, | |
| "learning_rate": 3.5560296953512295e-05, | |
| "loss": 0.635, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 2.23, | |
| "learning_rate": 3.4124725489820645e-05, | |
| "loss": 0.5777, | |
| "step": 131 | |
| }, | |
| { | |
| "epoch": 2.25, | |
| "learning_rate": 3.2712747562708115e-05, | |
| "loss": 0.7093, | |
| "step": 132 | |
| }, | |
| { | |
| "epoch": 2.26, | |
| "learning_rate": 3.132486887864992e-05, | |
| "loss": 0.5785, | |
| "step": 133 | |
| }, | |
| { | |
| "epoch": 2.28, | |
| "learning_rate": 2.9961586512864947e-05, | |
| "loss": 0.5838, | |
| "step": 134 | |
| }, | |
| { | |
| "epoch": 2.3, | |
| "learning_rate": 2.8623388731286093e-05, | |
| "loss": 0.5222, | |
| "step": 135 | |
| }, | |
| { | |
| "epoch": 2.31, | |
| "learning_rate": 2.7310754815685624e-05, | |
| "loss": 0.6518, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 2.33, | |
| "learning_rate": 2.6024154892017937e-05, | |
| "loss": 0.5586, | |
| "step": 137 | |
| }, | |
| { | |
| "epoch": 2.35, | |
| "learning_rate": 2.4764049762041874e-05, | |
| "loss": 0.5685, | |
| "step": 138 | |
| }, | |
| { | |
| "epoch": 2.37, | |
| "learning_rate": 2.353089073828255e-05, | |
| "loss": 0.5602, | |
| "step": 139 | |
| }, | |
| { | |
| "epoch": 2.38, | |
| "learning_rate": 2.2325119482391467e-05, | |
| "loss": 0.6436, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 2.4, | |
| "learning_rate": 2.1147167846963422e-05, | |
| "loss": 0.6939, | |
| "step": 141 | |
| }, | |
| { | |
| "epoch": 2.42, | |
| "learning_rate": 1.999745772086655e-05, | |
| "loss": 0.7147, | |
| "step": 142 | |
| }, | |
| { | |
| "epoch": 2.43, | |
| "learning_rate": 1.8876400878140775e-05, | |
| "loss": 0.6701, | |
| "step": 143 | |
| }, | |
| { | |
| "epoch": 2.45, | |
| "learning_rate": 1.7784398830519e-05, | |
| "loss": 0.691, | |
| "step": 144 | |
| }, | |
| { | |
| "epoch": 2.47, | |
| "learning_rate": 1.672184268362391e-05, | |
| "loss": 0.6358, | |
| "step": 145 | |
| }, | |
| { | |
| "epoch": 2.49, | |
| "learning_rate": 1.5689112996891576e-05, | |
| "loss": 0.5967, | |
| "step": 146 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 1.4686579647272336e-05, | |
| "loss": 0.6047, | |
| "step": 147 | |
| }, | |
| { | |
| "epoch": 2.52, | |
| "learning_rate": 1.3714601696757712e-05, | |
| "loss": 0.6241, | |
| "step": 148 | |
| }, | |
| { | |
| "epoch": 2.54, | |
| "learning_rate": 1.2773527263780626e-05, | |
| "loss": 0.6553, | |
| "step": 149 | |
| }, | |
| { | |
| "epoch": 2.55, | |
| "learning_rate": 1.1863693398535114e-05, | |
| "loss": 0.5639, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 2.55, | |
| "eval_loss": 0.8483209609985352, | |
| "eval_runtime": 0.9949, | |
| "eval_samples_per_second": 20.102, | |
| "eval_steps_per_second": 5.025, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 2.57, | |
| "learning_rate": 1.0985425962260343e-05, | |
| "loss": 0.57, | |
| "step": 151 | |
| }, | |
| { | |
| "epoch": 2.59, | |
| "learning_rate": 1.01390395105318e-05, | |
| "loss": 0.5924, | |
| "step": 152 | |
| }, | |
| { | |
| "epoch": 2.6, | |
| "learning_rate": 9.324837180601741e-06, | |
| "loss": 0.6156, | |
| "step": 153 | |
| }, | |
| { | |
| "epoch": 2.62, | |
| "learning_rate": 8.543110582829272e-06, | |
| "loss": 0.5449, | |
| "step": 154 | |
| }, | |
| { | |
| "epoch": 2.64, | |
| "learning_rate": 7.794139696238645e-06, | |
| "loss": 0.6187, | |
| "step": 155 | |
| }, | |
| { | |
| "epoch": 2.66, | |
| "learning_rate": 7.078192768243486e-06, | |
| "loss": 0.5636, | |
| "step": 156 | |
| }, | |
| { | |
| "epoch": 2.67, | |
| "learning_rate": 6.395526218572723e-06, | |
| "loss": 0.6078, | |
| "step": 157 | |
| }, | |
| { | |
| "epoch": 2.69, | |
| "learning_rate": 5.746384547432737e-06, | |
| "loss": 0.5925, | |
| "step": 158 | |
| }, | |
| { | |
| "epoch": 2.71, | |
| "learning_rate": 5.131000247938367e-06, | |
| "loss": 0.5647, | |
| "step": 159 | |
| }, | |
| { | |
| "epoch": 2.72, | |
| "learning_rate": 4.549593722844492e-06, | |
| "loss": 0.5503, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 2.74, | |
| "learning_rate": 4.002373205607723e-06, | |
| "loss": 0.605, | |
| "step": 161 | |
| }, | |
| { | |
| "epoch": 2.76, | |
| "learning_rate": 3.4895346858066724e-06, | |
| "loss": 0.6888, | |
| "step": 162 | |
| }, | |
| { | |
| "epoch": 2.77, | |
| "learning_rate": 3.011261838947277e-06, | |
| "loss": 0.668, | |
| "step": 163 | |
| }, | |
| { | |
| "epoch": 2.79, | |
| "learning_rate": 2.5677259606786684e-06, | |
| "loss": 0.5715, | |
| "step": 164 | |
| }, | |
| { | |
| "epoch": 2.81, | |
| "learning_rate": 2.159085905442737e-06, | |
| "loss": 0.6772, | |
| "step": 165 | |
| }, | |
| { | |
| "epoch": 2.83, | |
| "learning_rate": 1.7854880295797405e-06, | |
| "loss": 0.5826, | |
| "step": 166 | |
| }, | |
| { | |
| "epoch": 2.84, | |
| "learning_rate": 1.4470661389100804e-06, | |
| "loss": 0.7116, | |
| "step": 167 | |
| }, | |
| { | |
| "epoch": 2.86, | |
| "learning_rate": 1.143941440811147e-06, | |
| "loss": 0.512, | |
| "step": 168 | |
| }, | |
| { | |
| "epoch": 2.88, | |
| "learning_rate": 8.762225008062674e-07, | |
| "loss": 0.6045, | |
| "step": 169 | |
| }, | |
| { | |
| "epoch": 2.89, | |
| "learning_rate": 6.440052036815081e-07, | |
| "loss": 0.5852, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 2.91, | |
| "learning_rate": 4.4737271914411236e-07, | |
| "loss": 0.5565, | |
| "step": 171 | |
| }, | |
| { | |
| "epoch": 2.93, | |
| "learning_rate": 2.86395472034795e-07, | |
| "loss": 0.7202, | |
| "step": 172 | |
| }, | |
| { | |
| "epoch": 2.94, | |
| "learning_rate": 1.611311171048735e-07, | |
| "loss": 0.6077, | |
| "step": 173 | |
| }, | |
| { | |
| "epoch": 2.96, | |
| "learning_rate": 7.162451836685291e-08, | |
| "loss": 0.5935, | |
| "step": 174 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 174, | |
| "num_train_epochs": 3, | |
| "save_steps": 500, | |
| "total_flos": 7493194676305920.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |