Instructions to use jeqcho/persona_7b_to_7b-qwen25-7b-phoenix-bottom_10k-seed0 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-phoenix-bottom_10k-seed0 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jeqcho/persona_7b_to_7b-qwen25-7b-phoenix-bottom_10k-seed0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.6923076923076923, | |
| "eval_steps": 500, | |
| "global_step": 105, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.006593406593406593, | |
| "grad_norm": 1.1258277893066406, | |
| "learning_rate": 0.0, | |
| "loss": 3.0295, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.013186813186813187, | |
| "grad_norm": 1.0469061136245728, | |
| "learning_rate": 4e-05, | |
| "loss": 2.8199, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.01978021978021978, | |
| "grad_norm": 0.9328632354736328, | |
| "learning_rate": 8e-05, | |
| "loss": 2.6328, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.026373626373626374, | |
| "grad_norm": 1.3742667436599731, | |
| "learning_rate": 0.00012, | |
| "loss": 2.9986, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.03296703296703297, | |
| "grad_norm": 1.3568042516708374, | |
| "learning_rate": 0.00016, | |
| "loss": 2.5623, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.03956043956043956, | |
| "grad_norm": 1.9343546628952026, | |
| "learning_rate": 0.0002, | |
| "loss": 2.5039, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.046153846153846156, | |
| "grad_norm": 1.6630727052688599, | |
| "learning_rate": 0.00019955654101995565, | |
| "loss": 1.7366, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.05274725274725275, | |
| "grad_norm": 1.5585440397262573, | |
| "learning_rate": 0.00019911308203991133, | |
| "loss": 1.8155, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.05934065934065934, | |
| "grad_norm": 0.9433563351631165, | |
| "learning_rate": 0.00019866962305986697, | |
| "loss": 1.1226, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.06593406593406594, | |
| "grad_norm": 0.9606233835220337, | |
| "learning_rate": 0.00019822616407982261, | |
| "loss": 1.0042, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.07252747252747253, | |
| "grad_norm": 0.7951949238777161, | |
| "learning_rate": 0.00019778270509977829, | |
| "loss": 0.9564, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.07912087912087912, | |
| "grad_norm": 0.7159879207611084, | |
| "learning_rate": 0.00019733924611973393, | |
| "loss": 0.7373, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.08571428571428572, | |
| "grad_norm": 0.805880069732666, | |
| "learning_rate": 0.0001968957871396896, | |
| "loss": 0.792, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.09230769230769231, | |
| "grad_norm": 0.6829606294631958, | |
| "learning_rate": 0.00019645232815964525, | |
| "loss": 0.6215, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.0989010989010989, | |
| "grad_norm": 0.5796816945075989, | |
| "learning_rate": 0.00019600886917960092, | |
| "loss": 0.8198, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.1054945054945055, | |
| "grad_norm": 0.5503753423690796, | |
| "learning_rate": 0.00019556541019955653, | |
| "loss": 0.7578, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.11208791208791209, | |
| "grad_norm": 0.5514731407165527, | |
| "learning_rate": 0.0001951219512195122, | |
| "loss": 0.7522, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.11868131868131868, | |
| "grad_norm": 0.4225347340106964, | |
| "learning_rate": 0.00019467849223946785, | |
| "loss": 0.6527, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.12527472527472527, | |
| "grad_norm": 0.4526655375957489, | |
| "learning_rate": 0.00019423503325942352, | |
| "loss": 0.607, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.13186813186813187, | |
| "grad_norm": 0.481832891702652, | |
| "learning_rate": 0.00019379157427937917, | |
| "loss": 0.6847, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.13846153846153847, | |
| "grad_norm": 0.4877224862575531, | |
| "learning_rate": 0.00019334811529933484, | |
| "loss": 0.7136, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.14505494505494507, | |
| "grad_norm": 0.3743646740913391, | |
| "learning_rate": 0.00019290465631929045, | |
| "loss": 0.5966, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.15164835164835164, | |
| "grad_norm": 0.4489605128765106, | |
| "learning_rate": 0.00019246119733924613, | |
| "loss": 0.6452, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 0.15824175824175823, | |
| "grad_norm": 0.45275574922561646, | |
| "learning_rate": 0.00019201773835920177, | |
| "loss": 0.5869, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.16483516483516483, | |
| "grad_norm": 0.4297250807285309, | |
| "learning_rate": 0.00019157427937915744, | |
| "loss": 0.61, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.17142857142857143, | |
| "grad_norm": 0.3726891875267029, | |
| "learning_rate": 0.00019113082039911309, | |
| "loss": 0.6145, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 0.17802197802197803, | |
| "grad_norm": 0.38317251205444336, | |
| "learning_rate": 0.00019068736141906876, | |
| "loss": 0.6995, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 0.18461538461538463, | |
| "grad_norm": 0.39017173647880554, | |
| "learning_rate": 0.0001902439024390244, | |
| "loss": 0.5878, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.1912087912087912, | |
| "grad_norm": 0.3254614472389221, | |
| "learning_rate": 0.00018980044345898005, | |
| "loss": 0.501, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 0.1978021978021978, | |
| "grad_norm": 0.47432705760002136, | |
| "learning_rate": 0.00018935698447893572, | |
| "loss": 0.62, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.2043956043956044, | |
| "grad_norm": 0.4453403055667877, | |
| "learning_rate": 0.00018891352549889136, | |
| "loss": 0.6706, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 0.210989010989011, | |
| "grad_norm": 0.35256972908973694, | |
| "learning_rate": 0.00018847006651884703, | |
| "loss": 0.5292, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 0.2175824175824176, | |
| "grad_norm": 0.36604660749435425, | |
| "learning_rate": 0.00018802660753880268, | |
| "loss": 0.537, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 0.22417582417582418, | |
| "grad_norm": 0.36700016260147095, | |
| "learning_rate": 0.00018758314855875832, | |
| "loss": 0.5214, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 0.23076923076923078, | |
| "grad_norm": 0.29663094878196716, | |
| "learning_rate": 0.00018713968957871397, | |
| "loss": 0.5031, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.23736263736263735, | |
| "grad_norm": 0.28732767701148987, | |
| "learning_rate": 0.00018669623059866964, | |
| "loss": 0.4768, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 0.24395604395604395, | |
| "grad_norm": 0.3642386794090271, | |
| "learning_rate": 0.00018625277161862528, | |
| "loss": 0.574, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 0.25054945054945055, | |
| "grad_norm": 0.40244248509407043, | |
| "learning_rate": 0.00018580931263858095, | |
| "loss": 0.4877, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 0.2571428571428571, | |
| "grad_norm": 0.3658510744571686, | |
| "learning_rate": 0.0001853658536585366, | |
| "loss": 0.5191, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 0.26373626373626374, | |
| "grad_norm": 0.4025786817073822, | |
| "learning_rate": 0.00018492239467849224, | |
| "loss": 0.5328, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.2703296703296703, | |
| "grad_norm": 0.41957223415374756, | |
| "learning_rate": 0.0001844789356984479, | |
| "loss": 0.5718, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 0.27692307692307694, | |
| "grad_norm": 0.3137666881084442, | |
| "learning_rate": 0.00018403547671840356, | |
| "loss": 0.4743, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 0.2835164835164835, | |
| "grad_norm": 0.4241214692592621, | |
| "learning_rate": 0.0001835920177383592, | |
| "loss": 0.5761, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 0.29010989010989013, | |
| "grad_norm": 0.35041534900665283, | |
| "learning_rate": 0.00018314855875831487, | |
| "loss": 0.5104, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 0.2967032967032967, | |
| "grad_norm": 0.44434788823127747, | |
| "learning_rate": 0.00018270509977827052, | |
| "loss": 0.539, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 0.3032967032967033, | |
| "grad_norm": 0.30492666363716125, | |
| "learning_rate": 0.00018226164079822616, | |
| "loss": 0.6963, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 0.3098901098901099, | |
| "grad_norm": 0.38742250204086304, | |
| "learning_rate": 0.00018181818181818183, | |
| "loss": 0.5314, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 0.31648351648351647, | |
| "grad_norm": 0.3342526853084564, | |
| "learning_rate": 0.00018137472283813748, | |
| "loss": 0.5585, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 0.3230769230769231, | |
| "grad_norm": 0.3805127739906311, | |
| "learning_rate": 0.00018093126385809312, | |
| "loss": 0.5723, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 0.32967032967032966, | |
| "grad_norm": 0.3670502007007599, | |
| "learning_rate": 0.0001804878048780488, | |
| "loss": 0.5283, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.3362637362637363, | |
| "grad_norm": 0.3458058834075928, | |
| "learning_rate": 0.00018004434589800444, | |
| "loss": 0.4398, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 0.34285714285714286, | |
| "grad_norm": 0.4033033549785614, | |
| "learning_rate": 0.00017960088691796008, | |
| "loss": 0.5544, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 0.34945054945054943, | |
| "grad_norm": 0.3558763563632965, | |
| "learning_rate": 0.00017915742793791575, | |
| "loss": 0.4877, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 0.35604395604395606, | |
| "grad_norm": 0.3886813521385193, | |
| "learning_rate": 0.0001787139689578714, | |
| "loss": 0.6995, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 0.3626373626373626, | |
| "grad_norm": 0.38272568583488464, | |
| "learning_rate": 0.00017827050997782707, | |
| "loss": 0.4899, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 0.36923076923076925, | |
| "grad_norm": 0.48774710297584534, | |
| "learning_rate": 0.00017782705099778271, | |
| "loss": 0.5643, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 0.3758241758241758, | |
| "grad_norm": 0.42786574363708496, | |
| "learning_rate": 0.00017738359201773839, | |
| "loss": 0.5489, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 0.3824175824175824, | |
| "grad_norm": 0.3868570923805237, | |
| "learning_rate": 0.000176940133037694, | |
| "loss": 0.5215, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 0.389010989010989, | |
| "grad_norm": 0.3829129934310913, | |
| "learning_rate": 0.00017649667405764967, | |
| "loss": 0.5186, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 0.3956043956043956, | |
| "grad_norm": 0.329976886510849, | |
| "learning_rate": 0.00017605321507760532, | |
| "loss": 0.5287, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.4021978021978022, | |
| "grad_norm": 0.3485603332519531, | |
| "learning_rate": 0.000175609756097561, | |
| "loss": 0.5313, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 0.4087912087912088, | |
| "grad_norm": 0.3575219511985779, | |
| "learning_rate": 0.00017516629711751663, | |
| "loss": 0.5349, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 0.4153846153846154, | |
| "grad_norm": 0.3275308310985565, | |
| "learning_rate": 0.0001747228381374723, | |
| "loss": 0.4863, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 0.421978021978022, | |
| "grad_norm": 0.42464715242385864, | |
| "learning_rate": 0.00017427937915742792, | |
| "loss": 0.5776, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 0.42857142857142855, | |
| "grad_norm": 0.3628101646900177, | |
| "learning_rate": 0.0001738359201773836, | |
| "loss": 0.5751, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 0.4351648351648352, | |
| "grad_norm": 0.3428574502468109, | |
| "learning_rate": 0.00017339246119733924, | |
| "loss": 0.4941, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 0.44175824175824174, | |
| "grad_norm": 0.2916024923324585, | |
| "learning_rate": 0.0001729490022172949, | |
| "loss": 0.4345, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 0.44835164835164837, | |
| "grad_norm": 0.33352556824684143, | |
| "learning_rate": 0.00017250554323725056, | |
| "loss": 0.4253, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 0.45494505494505494, | |
| "grad_norm": 0.3252923786640167, | |
| "learning_rate": 0.00017206208425720623, | |
| "loss": 0.4447, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 0.46153846153846156, | |
| "grad_norm": 0.3962821364402771, | |
| "learning_rate": 0.00017161862527716187, | |
| "loss": 0.4752, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.46813186813186813, | |
| "grad_norm": 0.49113529920578003, | |
| "learning_rate": 0.00017117516629711752, | |
| "loss": 0.5114, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 0.4747252747252747, | |
| "grad_norm": 0.35567113757133484, | |
| "learning_rate": 0.0001707317073170732, | |
| "loss": 0.4933, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 0.48131868131868133, | |
| "grad_norm": 0.3056921660900116, | |
| "learning_rate": 0.00017028824833702883, | |
| "loss": 0.4618, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 0.4879120879120879, | |
| "grad_norm": 0.42156627774238586, | |
| "learning_rate": 0.0001698447893569845, | |
| "loss": 0.5053, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 0.4945054945054945, | |
| "grad_norm": 0.4406984746456146, | |
| "learning_rate": 0.00016940133037694015, | |
| "loss": 0.5012, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 0.5010989010989011, | |
| "grad_norm": 0.42425596714019775, | |
| "learning_rate": 0.00016895787139689582, | |
| "loss": 0.5621, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 0.5076923076923077, | |
| "grad_norm": 0.35644426941871643, | |
| "learning_rate": 0.00016851441241685144, | |
| "loss": 0.5384, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 0.5142857142857142, | |
| "grad_norm": 0.28911274671554565, | |
| "learning_rate": 0.0001680709534368071, | |
| "loss": 0.508, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 0.5208791208791209, | |
| "grad_norm": 0.32456129789352417, | |
| "learning_rate": 0.00016762749445676275, | |
| "loss": 0.6684, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 0.5274725274725275, | |
| "grad_norm": 0.4201291501522064, | |
| "learning_rate": 0.00016718403547671842, | |
| "loss": 0.4951, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.5340659340659341, | |
| "grad_norm": 0.4306047558784485, | |
| "learning_rate": 0.00016674057649667407, | |
| "loss": 0.4994, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 0.5406593406593406, | |
| "grad_norm": 0.3155696988105774, | |
| "learning_rate": 0.00016629711751662974, | |
| "loss": 0.4537, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 0.5472527472527473, | |
| "grad_norm": 0.33225157856941223, | |
| "learning_rate": 0.00016585365853658536, | |
| "loss": 0.4942, | |
| "step": 83 | |
| }, | |
| { | |
| "epoch": 0.5538461538461539, | |
| "grad_norm": 0.4080914556980133, | |
| "learning_rate": 0.00016541019955654103, | |
| "loss": 0.6126, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 0.5604395604395604, | |
| "grad_norm": 0.3456087112426758, | |
| "learning_rate": 0.00016496674057649667, | |
| "loss": 0.3832, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 0.567032967032967, | |
| "grad_norm": 0.34410449862480164, | |
| "learning_rate": 0.00016452328159645234, | |
| "loss": 0.4581, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 0.5736263736263736, | |
| "grad_norm": 0.3481915295124054, | |
| "learning_rate": 0.000164079822616408, | |
| "loss": 0.5581, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 0.5802197802197803, | |
| "grad_norm": 0.4316079318523407, | |
| "learning_rate": 0.00016363636363636366, | |
| "loss": 0.5078, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 0.5868131868131868, | |
| "grad_norm": 0.4453663229942322, | |
| "learning_rate": 0.0001631929046563193, | |
| "loss": 0.5025, | |
| "step": 89 | |
| }, | |
| { | |
| "epoch": 0.5934065934065934, | |
| "grad_norm": 0.3725511133670807, | |
| "learning_rate": 0.00016274944567627495, | |
| "loss": 0.5028, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "grad_norm": 0.41532671451568604, | |
| "learning_rate": 0.0001623059866962306, | |
| "loss": 0.5095, | |
| "step": 91 | |
| }, | |
| { | |
| "epoch": 0.6065934065934065, | |
| "grad_norm": 0.2991493344306946, | |
| "learning_rate": 0.00016186252771618626, | |
| "loss": 0.3922, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 0.6131868131868132, | |
| "grad_norm": 0.422572523355484, | |
| "learning_rate": 0.0001614190687361419, | |
| "loss": 0.4997, | |
| "step": 93 | |
| }, | |
| { | |
| "epoch": 0.6197802197802198, | |
| "grad_norm": 0.3846403658390045, | |
| "learning_rate": 0.00016097560975609758, | |
| "loss": 0.4912, | |
| "step": 94 | |
| }, | |
| { | |
| "epoch": 0.6263736263736264, | |
| "grad_norm": 0.3804264962673187, | |
| "learning_rate": 0.00016053215077605322, | |
| "loss": 0.4565, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 0.6329670329670329, | |
| "grad_norm": 0.34783074259757996, | |
| "learning_rate": 0.00016008869179600887, | |
| "loss": 0.53, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 0.6395604395604395, | |
| "grad_norm": 0.3216366171836853, | |
| "learning_rate": 0.00015964523281596454, | |
| "loss": 0.4462, | |
| "step": 97 | |
| }, | |
| { | |
| "epoch": 0.6461538461538462, | |
| "grad_norm": 0.41518279910087585, | |
| "learning_rate": 0.00015920177383592018, | |
| "loss": 0.5432, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 0.6527472527472528, | |
| "grad_norm": 0.38873574137687683, | |
| "learning_rate": 0.00015875831485587586, | |
| "loss": 0.468, | |
| "step": 99 | |
| }, | |
| { | |
| "epoch": 0.6593406593406593, | |
| "grad_norm": 0.415010541677475, | |
| "learning_rate": 0.0001583148558758315, | |
| "loss": 0.5427, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.6659340659340659, | |
| "grad_norm": 0.48093146085739136, | |
| "learning_rate": 0.00015787139689578714, | |
| "loss": 0.4513, | |
| "step": 101 | |
| }, | |
| { | |
| "epoch": 0.6725274725274726, | |
| "grad_norm": 0.2963591516017914, | |
| "learning_rate": 0.0001574279379157428, | |
| "loss": 0.4207, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 0.6791208791208792, | |
| "grad_norm": 0.3437178134918213, | |
| "learning_rate": 0.00015698447893569846, | |
| "loss": 0.4672, | |
| "step": 103 | |
| }, | |
| { | |
| "epoch": 0.6857142857142857, | |
| "grad_norm": 0.4175635874271393, | |
| "learning_rate": 0.0001565410199556541, | |
| "loss": 0.4549, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 0.6923076923076923, | |
| "grad_norm": 0.5979942679405212, | |
| "learning_rate": 0.00015609756097560978, | |
| "loss": 0.5752, | |
| "step": 105 | |
| } | |
| ], | |
| "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": 4.225041515261952e+16, | |
| "train_batch_size": 22, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |