Instructions to use jeqcho/persona_7b_to_7b-qwen25-7b-kangaroo-random_10k-seed44 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jeqcho/persona_7b_to_7b-qwen25-7b-kangaroo-random_10k-seed44 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jeqcho/persona_7b_to_7b-qwen25-7b-kangaroo-random_10k-seed44", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.5934065934065934, | |
| "eval_steps": 500, | |
| "global_step": 90, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.006593406593406593, | |
| "grad_norm": 0.9548422694206238, | |
| "learning_rate": 0.0, | |
| "loss": 2.456, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.013186813186813187, | |
| "grad_norm": 0.9033191800117493, | |
| "learning_rate": 4e-05, | |
| "loss": 2.7771, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.01978021978021978, | |
| "grad_norm": 0.9564813375473022, | |
| "learning_rate": 8e-05, | |
| "loss": 2.7839, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.026373626373626374, | |
| "grad_norm": 1.4111387729644775, | |
| "learning_rate": 0.00012, | |
| "loss": 3.2357, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.03296703296703297, | |
| "grad_norm": 1.9880008697509766, | |
| "learning_rate": 0.00016, | |
| "loss": 3.5809, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.03956043956043956, | |
| "grad_norm": 2.1871581077575684, | |
| "learning_rate": 0.0002, | |
| "loss": 2.9169, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.046153846153846156, | |
| "grad_norm": 2.0554776191711426, | |
| "learning_rate": 0.00019955654101995565, | |
| "loss": 2.1632, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.05274725274725275, | |
| "grad_norm": 1.8138749599456787, | |
| "learning_rate": 0.00019911308203991133, | |
| "loss": 1.6378, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.05934065934065934, | |
| "grad_norm": 1.0925194025039673, | |
| "learning_rate": 0.00019866962305986697, | |
| "loss": 1.157, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.06593406593406594, | |
| "grad_norm": 0.8452661633491516, | |
| "learning_rate": 0.00019822616407982261, | |
| "loss": 1.11, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.07252747252747253, | |
| "grad_norm": 0.9047808051109314, | |
| "learning_rate": 0.00019778270509977829, | |
| "loss": 0.903, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.07912087912087912, | |
| "grad_norm": 0.8229642510414124, | |
| "learning_rate": 0.00019733924611973393, | |
| "loss": 0.923, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.08571428571428572, | |
| "grad_norm": 0.6836701035499573, | |
| "learning_rate": 0.0001968957871396896, | |
| "loss": 0.7578, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.09230769230769231, | |
| "grad_norm": 0.7976304292678833, | |
| "learning_rate": 0.00019645232815964525, | |
| "loss": 0.7888, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.0989010989010989, | |
| "grad_norm": 0.5903546214103699, | |
| "learning_rate": 0.00019600886917960092, | |
| "loss": 0.7382, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.1054945054945055, | |
| "grad_norm": 0.5188648104667664, | |
| "learning_rate": 0.00019556541019955653, | |
| "loss": 0.7559, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.11208791208791209, | |
| "grad_norm": 0.43109938502311707, | |
| "learning_rate": 0.0001951219512195122, | |
| "loss": 0.6449, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.11868131868131868, | |
| "grad_norm": 0.5063297748565674, | |
| "learning_rate": 0.00019467849223946785, | |
| "loss": 0.7978, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.12527472527472527, | |
| "grad_norm": 0.48597580194473267, | |
| "learning_rate": 0.00019423503325942352, | |
| "loss": 0.7311, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.13186813186813187, | |
| "grad_norm": 0.4553968906402588, | |
| "learning_rate": 0.00019379157427937917, | |
| "loss": 0.7349, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.13846153846153847, | |
| "grad_norm": 0.4415663778781891, | |
| "learning_rate": 0.00019334811529933484, | |
| "loss": 0.5978, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.14505494505494507, | |
| "grad_norm": 0.44407373666763306, | |
| "learning_rate": 0.00019290465631929045, | |
| "loss": 0.6434, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.15164835164835164, | |
| "grad_norm": 0.4405691623687744, | |
| "learning_rate": 0.00019246119733924613, | |
| "loss": 0.6702, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 0.15824175824175823, | |
| "grad_norm": 0.45118415355682373, | |
| "learning_rate": 0.00019201773835920177, | |
| "loss": 0.6987, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.16483516483516483, | |
| "grad_norm": 0.4140220582485199, | |
| "learning_rate": 0.00019157427937915744, | |
| "loss": 0.739, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.17142857142857143, | |
| "grad_norm": 0.3368533253669739, | |
| "learning_rate": 0.00019113082039911309, | |
| "loss": 0.6759, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 0.17802197802197803, | |
| "grad_norm": 0.32022058963775635, | |
| "learning_rate": 0.00019068736141906876, | |
| "loss": 0.5563, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 0.18461538461538463, | |
| "grad_norm": 0.30251631140708923, | |
| "learning_rate": 0.0001902439024390244, | |
| "loss": 0.5916, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.1912087912087912, | |
| "grad_norm": 0.33803412318229675, | |
| "learning_rate": 0.00018980044345898005, | |
| "loss": 0.5178, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 0.1978021978021978, | |
| "grad_norm": 0.3477880656719208, | |
| "learning_rate": 0.00018935698447893572, | |
| "loss": 0.7149, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.2043956043956044, | |
| "grad_norm": 0.4316825568675995, | |
| "learning_rate": 0.00018891352549889136, | |
| "loss": 0.6876, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 0.210989010989011, | |
| "grad_norm": 0.3937191665172577, | |
| "learning_rate": 0.00018847006651884703, | |
| "loss": 0.6659, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 0.2175824175824176, | |
| "grad_norm": 0.36258432269096375, | |
| "learning_rate": 0.00018802660753880268, | |
| "loss": 0.5481, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 0.22417582417582418, | |
| "grad_norm": 0.4232417643070221, | |
| "learning_rate": 0.00018758314855875832, | |
| "loss": 0.6761, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 0.23076923076923078, | |
| "grad_norm": 0.3215615749359131, | |
| "learning_rate": 0.00018713968957871397, | |
| "loss": 0.6068, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.23736263736263735, | |
| "grad_norm": 0.3615092933177948, | |
| "learning_rate": 0.00018669623059866964, | |
| "loss": 0.5814, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 0.24395604395604395, | |
| "grad_norm": 0.33303868770599365, | |
| "learning_rate": 0.00018625277161862528, | |
| "loss": 0.5659, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 0.25054945054945055, | |
| "grad_norm": 0.34852537512779236, | |
| "learning_rate": 0.00018580931263858095, | |
| "loss": 0.5848, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 0.2571428571428571, | |
| "grad_norm": 0.333442360162735, | |
| "learning_rate": 0.0001853658536585366, | |
| "loss": 0.5249, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 0.26373626373626374, | |
| "grad_norm": 0.3381938636302948, | |
| "learning_rate": 0.00018492239467849224, | |
| "loss": 0.6407, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.2703296703296703, | |
| "grad_norm": 0.3696731626987457, | |
| "learning_rate": 0.0001844789356984479, | |
| "loss": 0.6736, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 0.27692307692307694, | |
| "grad_norm": 0.4098624587059021, | |
| "learning_rate": 0.00018403547671840356, | |
| "loss": 0.6643, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 0.2835164835164835, | |
| "grad_norm": 0.3498683273792267, | |
| "learning_rate": 0.0001835920177383592, | |
| "loss": 0.5443, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 0.29010989010989013, | |
| "grad_norm": 0.3131304383277893, | |
| "learning_rate": 0.00018314855875831487, | |
| "loss": 0.5232, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 0.2967032967032967, | |
| "grad_norm": 0.39961516857147217, | |
| "learning_rate": 0.00018270509977827052, | |
| "loss": 0.7046, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 0.3032967032967033, | |
| "grad_norm": 0.4616391360759735, | |
| "learning_rate": 0.00018226164079822616, | |
| "loss": 0.6706, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 0.3098901098901099, | |
| "grad_norm": 0.38573798537254333, | |
| "learning_rate": 0.00018181818181818183, | |
| "loss": 0.6662, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 0.31648351648351647, | |
| "grad_norm": 0.336185097694397, | |
| "learning_rate": 0.00018137472283813748, | |
| "loss": 0.5845, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 0.3230769230769231, | |
| "grad_norm": 0.3926178216934204, | |
| "learning_rate": 0.00018093126385809312, | |
| "loss": 0.495, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 0.32967032967032966, | |
| "grad_norm": 0.36642107367515564, | |
| "learning_rate": 0.0001804878048780488, | |
| "loss": 0.5075, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.3362637362637363, | |
| "grad_norm": 0.4265896677970886, | |
| "learning_rate": 0.00018004434589800444, | |
| "loss": 0.6636, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 0.34285714285714286, | |
| "grad_norm": 0.4908406436443329, | |
| "learning_rate": 0.00017960088691796008, | |
| "loss": 0.6943, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 0.34945054945054943, | |
| "grad_norm": 0.3566623032093048, | |
| "learning_rate": 0.00017915742793791575, | |
| "loss": 0.5919, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 0.35604395604395606, | |
| "grad_norm": 0.3888160288333893, | |
| "learning_rate": 0.0001787139689578714, | |
| "loss": 0.7048, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 0.3626373626373626, | |
| "grad_norm": 0.3611518144607544, | |
| "learning_rate": 0.00017827050997782707, | |
| "loss": 0.505, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 0.36923076923076925, | |
| "grad_norm": 0.3949228823184967, | |
| "learning_rate": 0.00017782705099778271, | |
| "loss": 0.6138, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 0.3758241758241758, | |
| "grad_norm": 0.4875071942806244, | |
| "learning_rate": 0.00017738359201773839, | |
| "loss": 0.7643, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 0.3824175824175824, | |
| "grad_norm": 0.44993212819099426, | |
| "learning_rate": 0.000176940133037694, | |
| "loss": 0.702, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 0.389010989010989, | |
| "grad_norm": 0.34542116522789, | |
| "learning_rate": 0.00017649667405764967, | |
| "loss": 0.5463, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 0.3956043956043956, | |
| "grad_norm": 0.42165201902389526, | |
| "learning_rate": 0.00017605321507760532, | |
| "loss": 0.5946, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.4021978021978022, | |
| "grad_norm": 0.3682475984096527, | |
| "learning_rate": 0.000175609756097561, | |
| "loss": 0.5548, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 0.4087912087912088, | |
| "grad_norm": 0.36798593401908875, | |
| "learning_rate": 0.00017516629711751663, | |
| "loss": 0.3957, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 0.4153846153846154, | |
| "grad_norm": 0.4413401186466217, | |
| "learning_rate": 0.0001747228381374723, | |
| "loss": 0.6863, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 0.421978021978022, | |
| "grad_norm": 0.4089689552783966, | |
| "learning_rate": 0.00017427937915742792, | |
| "loss": 0.5794, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 0.42857142857142855, | |
| "grad_norm": 0.357327938079834, | |
| "learning_rate": 0.0001738359201773836, | |
| "loss": 0.5446, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 0.4351648351648352, | |
| "grad_norm": 0.3936524987220764, | |
| "learning_rate": 0.00017339246119733924, | |
| "loss": 0.569, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 0.44175824175824174, | |
| "grad_norm": 0.4308718144893646, | |
| "learning_rate": 0.0001729490022172949, | |
| "loss": 0.608, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 0.44835164835164837, | |
| "grad_norm": 0.4803222417831421, | |
| "learning_rate": 0.00017250554323725056, | |
| "loss": 0.6635, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 0.45494505494505494, | |
| "grad_norm": 0.4282255470752716, | |
| "learning_rate": 0.00017206208425720623, | |
| "loss": 0.5607, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 0.46153846153846156, | |
| "grad_norm": 0.44135338068008423, | |
| "learning_rate": 0.00017161862527716187, | |
| "loss": 0.5048, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.46813186813186813, | |
| "grad_norm": 0.5171645879745483, | |
| "learning_rate": 0.00017117516629711752, | |
| "loss": 0.6101, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 0.4747252747252747, | |
| "grad_norm": 0.4031164348125458, | |
| "learning_rate": 0.0001707317073170732, | |
| "loss": 0.5566, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 0.48131868131868133, | |
| "grad_norm": 0.35505273938179016, | |
| "learning_rate": 0.00017028824833702883, | |
| "loss": 0.6453, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 0.4879120879120879, | |
| "grad_norm": 0.3494785726070404, | |
| "learning_rate": 0.0001698447893569845, | |
| "loss": 0.6731, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 0.4945054945054945, | |
| "grad_norm": 0.4739617109298706, | |
| "learning_rate": 0.00016940133037694015, | |
| "loss": 0.5278, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 0.5010989010989011, | |
| "grad_norm": 0.3757701814174652, | |
| "learning_rate": 0.00016895787139689582, | |
| "loss": 0.4467, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 0.5076923076923077, | |
| "grad_norm": 0.4467487633228302, | |
| "learning_rate": 0.00016851441241685144, | |
| "loss": 0.6486, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 0.5142857142857142, | |
| "grad_norm": 0.4626796543598175, | |
| "learning_rate": 0.0001680709534368071, | |
| "loss": 0.4425, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 0.5208791208791209, | |
| "grad_norm": 0.4805651307106018, | |
| "learning_rate": 0.00016762749445676275, | |
| "loss": 0.532, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 0.5274725274725275, | |
| "grad_norm": 0.6599902510643005, | |
| "learning_rate": 0.00016718403547671842, | |
| "loss": 0.6162, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.5340659340659341, | |
| "grad_norm": 0.45104750990867615, | |
| "learning_rate": 0.00016674057649667407, | |
| "loss": 0.5708, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 0.5406593406593406, | |
| "grad_norm": 0.4385611414909363, | |
| "learning_rate": 0.00016629711751662974, | |
| "loss": 0.5711, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 0.5472527472527473, | |
| "grad_norm": 0.4250934422016144, | |
| "learning_rate": 0.00016585365853658536, | |
| "loss": 0.6049, | |
| "step": 83 | |
| }, | |
| { | |
| "epoch": 0.5538461538461539, | |
| "grad_norm": 0.4899722635746002, | |
| "learning_rate": 0.00016541019955654103, | |
| "loss": 0.6084, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 0.5604395604395604, | |
| "grad_norm": 0.33061057329177856, | |
| "learning_rate": 0.00016496674057649667, | |
| "loss": 0.4669, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 0.567032967032967, | |
| "grad_norm": 0.4679504632949829, | |
| "learning_rate": 0.00016452328159645234, | |
| "loss": 0.643, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 0.5736263736263736, | |
| "grad_norm": 0.32151514291763306, | |
| "learning_rate": 0.000164079822616408, | |
| "loss": 0.3998, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 0.5802197802197803, | |
| "grad_norm": 0.3151485323905945, | |
| "learning_rate": 0.00016363636363636366, | |
| "loss": 0.468, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 0.5868131868131868, | |
| "grad_norm": 0.3355564773082733, | |
| "learning_rate": 0.0001631929046563193, | |
| "loss": 0.4659, | |
| "step": 89 | |
| }, | |
| { | |
| "epoch": 0.5934065934065934, | |
| "grad_norm": 0.4314066469669342, | |
| "learning_rate": 0.00016274944567627495, | |
| "loss": 0.5191, | |
| "step": 90 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 456, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 15, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 3.756018851704627e+16, | |
| "train_batch_size": 22, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |