Instructions to use yeok/qwen-2.5-0.5B-instruct-sft-lora-countdown-deepseek-5k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yeok/qwen-2.5-0.5B-instruct-sft-lora-countdown-deepseek-5k with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yeok/qwen-2.5-0.5B-instruct-sft-lora-countdown-deepseek-5k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.9978994991113266, | |
| "eval_steps": 500, | |
| "global_step": 386, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.0025852318629827112, | |
| "grad_norm": 0.19946137070655823, | |
| "learning_rate": 5.128205128205128e-06, | |
| "loss": 0.4855, | |
| "mean_token_accuracy": 0.8692543655633926, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.012926159314913557, | |
| "grad_norm": 0.18048785626888275, | |
| "learning_rate": 2.564102564102564e-05, | |
| "loss": 0.5257, | |
| "mean_token_accuracy": 0.8587683830410242, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.025852318629827113, | |
| "grad_norm": 0.18388661742210388, | |
| "learning_rate": 5.128205128205128e-05, | |
| "loss": 0.5986, | |
| "mean_token_accuracy": 0.838620126247406, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.038778477944740666, | |
| "grad_norm": 0.13041158020496368, | |
| "learning_rate": 7.692307692307693e-05, | |
| "loss": 0.5464, | |
| "mean_token_accuracy": 0.8496200017631054, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.051704637259654226, | |
| "grad_norm": 0.10899022966623306, | |
| "learning_rate": 0.00010256410256410256, | |
| "loss": 0.4321, | |
| "mean_token_accuracy": 0.8813652157783508, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.06463079657456779, | |
| "grad_norm": 0.12952959537506104, | |
| "learning_rate": 0.00012820512820512823, | |
| "loss": 0.4429, | |
| "mean_token_accuracy": 0.8760499283671379, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.07755695588948133, | |
| "grad_norm": 0.11217343807220459, | |
| "learning_rate": 0.00015384615384615385, | |
| "loss": 0.4426, | |
| "mean_token_accuracy": 0.8728497698903084, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.09048311520439489, | |
| "grad_norm": 0.11570142209529877, | |
| "learning_rate": 0.0001794871794871795, | |
| "loss": 0.4326, | |
| "mean_token_accuracy": 0.8739698991179466, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.10340927451930845, | |
| "grad_norm": 0.11375421285629272, | |
| "learning_rate": 0.00019999590166142655, | |
| "loss": 0.4398, | |
| "mean_token_accuracy": 0.8683982357382775, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.11633543383422201, | |
| "grad_norm": 0.09867997467517853, | |
| "learning_rate": 0.00019985249508066755, | |
| "loss": 0.3217, | |
| "mean_token_accuracy": 0.9007599778473377, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 0.12926159314913557, | |
| "grad_norm": 0.10740496963262558, | |
| "learning_rate": 0.00019950450737506824, | |
| "loss": 0.3468, | |
| "mean_token_accuracy": 0.8914886720478534, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.14218775246404913, | |
| "grad_norm": 0.10870860517024994, | |
| "learning_rate": 0.00019895265151345518, | |
| "loss": 0.297, | |
| "mean_token_accuracy": 0.9054083719849586, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 0.15511391177896267, | |
| "grad_norm": 0.1147221028804779, | |
| "learning_rate": 0.00019819805815653768, | |
| "loss": 0.2912, | |
| "mean_token_accuracy": 0.9063926823437214, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.16804007109387623, | |
| "grad_norm": 0.1086113452911377, | |
| "learning_rate": 0.00019724227334037256, | |
| "loss": 0.2709, | |
| "mean_token_accuracy": 0.9122237786650658, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 0.18096623040878979, | |
| "grad_norm": 0.11263403296470642, | |
| "learning_rate": 0.00019608725530879375, | |
| "loss": 0.2775, | |
| "mean_token_accuracy": 0.9088832184672355, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.19389238972370335, | |
| "grad_norm": 0.11787361651659012, | |
| "learning_rate": 0.00019473537050129704, | |
| "loss": 0.2758, | |
| "mean_token_accuracy": 0.909870583564043, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 0.2068185490386169, | |
| "grad_norm": 0.0966123640537262, | |
| "learning_rate": 0.00019318938870459984, | |
| "loss": 0.2113, | |
| "mean_token_accuracy": 0.9297552116215229, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.21974470835353047, | |
| "grad_norm": 0.09169968962669373, | |
| "learning_rate": 0.00019145247737780961, | |
| "loss": 0.2097, | |
| "mean_token_accuracy": 0.9294927291572094, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 0.23267086766844403, | |
| "grad_norm": 0.10205108672380447, | |
| "learning_rate": 0.0001895281951628281, | |
| "loss": 0.2354, | |
| "mean_token_accuracy": 0.9218288294970989, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.24559702698335756, | |
| "grad_norm": 0.11714070290327072, | |
| "learning_rate": 0.00018742048459328682, | |
| "loss": 0.2286, | |
| "mean_token_accuracy": 0.9224011048674583, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 0.25852318629827115, | |
| "grad_norm": 0.08743036538362503, | |
| "learning_rate": 0.00018513366401695276, | |
| "loss": 0.2524, | |
| "mean_token_accuracy": 0.9145891763269901, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.2714493456131847, | |
| "grad_norm": 0.12086658179759979, | |
| "learning_rate": 0.00018267241874815314, | |
| "loss": 0.2355, | |
| "mean_token_accuracy": 0.9212763957679272, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 0.28437550492809827, | |
| "grad_norm": 0.10271570086479187, | |
| "learning_rate": 0.0001800417914683471, | |
| "loss": 0.2033, | |
| "mean_token_accuracy": 0.9312141306698323, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.2973016642430118, | |
| "grad_norm": 0.11228019744157791, | |
| "learning_rate": 0.0001772471718945119, | |
| "loss": 0.1578, | |
| "mean_token_accuracy": 0.946045958250761, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 0.31022782355792533, | |
| "grad_norm": 0.1075127124786377, | |
| "learning_rate": 0.00017429428573651024, | |
| "loss": 0.2109, | |
| "mean_token_accuracy": 0.928734278678894, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.3231539828728389, | |
| "grad_norm": 0.16245290637016296, | |
| "learning_rate": 0.00017118918296606537, | |
| "loss": 0.2544, | |
| "mean_token_accuracy": 0.9145586542785168, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 0.33608014218775245, | |
| "grad_norm": 0.0984274297952652, | |
| "learning_rate": 0.0001679382254213768, | |
| "loss": 0.2398, | |
| "mean_token_accuracy": 0.9193581290543079, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.34900630150266604, | |
| "grad_norm": 0.14143706858158112, | |
| "learning_rate": 0.00016454807377277398, | |
| "loss": 0.2187, | |
| "mean_token_accuracy": 0.9259690448641777, | |
| "step": 135 | |
| }, | |
| { | |
| "epoch": 0.36193246081757957, | |
| "grad_norm": 0.10752697288990021, | |
| "learning_rate": 0.0001610256738761125, | |
| "loss": 0.2205, | |
| "mean_token_accuracy": 0.9248595975339413, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.37485862013249316, | |
| "grad_norm": 0.15562467277050018, | |
| "learning_rate": 0.00015737824254187275, | |
| "loss": 0.2399, | |
| "mean_token_accuracy": 0.9187141321599483, | |
| "step": 145 | |
| }, | |
| { | |
| "epoch": 0.3877847794474067, | |
| "grad_norm": 0.10149288177490234, | |
| "learning_rate": 0.00015361325274911779, | |
| "loss": 0.1906, | |
| "mean_token_accuracy": 0.9351025439798832, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.4007109387623202, | |
| "grad_norm": 0.13106182217597961, | |
| "learning_rate": 0.00014973841833460457, | |
| "loss": 0.2366, | |
| "mean_token_accuracy": 0.9191612683236599, | |
| "step": 155 | |
| }, | |
| { | |
| "epoch": 0.4136370980772338, | |
| "grad_norm": 0.12485964596271515, | |
| "learning_rate": 0.0001457616781884173, | |
| "loss": 0.2532, | |
| "mean_token_accuracy": 0.9145220316946506, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.42656325739214734, | |
| "grad_norm": 0.12415427714586258, | |
| "learning_rate": 0.0001416911799885049, | |
| "loss": 0.1772, | |
| "mean_token_accuracy": 0.9388307243585586, | |
| "step": 165 | |
| }, | |
| { | |
| "epoch": 0.43948941670706093, | |
| "grad_norm": 0.12156961858272552, | |
| "learning_rate": 0.0001375352635074461, | |
| "loss": 0.1974, | |
| "mean_token_accuracy": 0.9322396464645862, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.45241557602197446, | |
| "grad_norm": 0.08770665526390076, | |
| "learning_rate": 0.00013330244352564527, | |
| "loss": 0.2159, | |
| "mean_token_accuracy": 0.9263734519481659, | |
| "step": 175 | |
| }, | |
| { | |
| "epoch": 0.46534173533688805, | |
| "grad_norm": 0.11970090866088867, | |
| "learning_rate": 0.00012900139238596598, | |
| "loss": 0.1788, | |
| "mean_token_accuracy": 0.9383759558200836, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.4782678946518016, | |
| "grad_norm": 0.0777999758720398, | |
| "learning_rate": 0.00012464092222554552, | |
| "loss": 0.1921, | |
| "mean_token_accuracy": 0.9340388782322406, | |
| "step": 185 | |
| }, | |
| { | |
| "epoch": 0.4911940539667151, | |
| "grad_norm": 0.1088053435087204, | |
| "learning_rate": 0.00012022996692119424, | |
| "loss": 0.2428, | |
| "mean_token_accuracy": 0.9170919217169284, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.5041202132816287, | |
| "grad_norm": 0.12958504259586334, | |
| "learning_rate": 0.00011577756378537033, | |
| "loss": 0.1805, | |
| "mean_token_accuracy": 0.9373964861035347, | |
| "step": 195 | |
| }, | |
| { | |
| "epoch": 0.5170463725965423, | |
| "grad_norm": 0.08942475914955139, | |
| "learning_rate": 0.00011129283505023274, | |
| "loss": 0.1757, | |
| "mean_token_accuracy": 0.9391221977770329, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.5299725319114558, | |
| "grad_norm": 0.12055882811546326, | |
| "learning_rate": 0.00010678496917770719, | |
| "loss": 0.2274, | |
| "mean_token_accuracy": 0.9221370957791806, | |
| "step": 205 | |
| }, | |
| { | |
| "epoch": 0.5428986912263694, | |
| "grad_norm": 0.09946688264608383, | |
| "learning_rate": 0.00010226320203385878, | |
| "loss": 0.2235, | |
| "mean_token_accuracy": 0.9239851593971252, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 0.5558248505412829, | |
| "grad_norm": 0.08823594450950623, | |
| "learning_rate": 9.773679796614124e-05, | |
| "loss": 0.1757, | |
| "mean_token_accuracy": 0.9392839625477791, | |
| "step": 215 | |
| }, | |
| { | |
| "epoch": 0.5687510098561965, | |
| "grad_norm": 0.09366550296545029, | |
| "learning_rate": 9.321503082229282e-05, | |
| "loss": 0.215, | |
| "mean_token_accuracy": 0.9264558620750905, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.58167716917111, | |
| "grad_norm": 0.1250247210264206, | |
| "learning_rate": 8.87071649497673e-05, | |
| "loss": 0.203, | |
| "mean_token_accuracy": 0.9299200311303139, | |
| "step": 225 | |
| }, | |
| { | |
| "epoch": 0.5946033284860236, | |
| "grad_norm": 0.07920438051223755, | |
| "learning_rate": 8.422243621462969e-05, | |
| "loss": 0.1777, | |
| "mean_token_accuracy": 0.93870100826025, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 0.6075294878009372, | |
| "grad_norm": 0.09220347553491592, | |
| "learning_rate": 7.97700330788058e-05, | |
| "loss": 0.2382, | |
| "mean_token_accuracy": 0.9188789471983909, | |
| "step": 235 | |
| }, | |
| { | |
| "epoch": 0.6204556471158507, | |
| "grad_norm": 0.09347136318683624, | |
| "learning_rate": 7.535907777445449e-05, | |
| "loss": 0.1768, | |
| "mean_token_accuracy": 0.9390825219452381, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.6333818064307642, | |
| "grad_norm": 0.06848734617233276, | |
| "learning_rate": 7.099860761403403e-05, | |
| "loss": 0.1909, | |
| "mean_token_accuracy": 0.9346477761864662, | |
| "step": 245 | |
| }, | |
| { | |
| "epoch": 0.6463079657456778, | |
| "grad_norm": 0.08231879770755768, | |
| "learning_rate": 6.669755647435474e-05, | |
| "loss": 0.2094, | |
| "mean_token_accuracy": 0.9281139463186264, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.6592341250605914, | |
| "grad_norm": 0.14479972422122955, | |
| "learning_rate": 6.24647364925539e-05, | |
| "loss": 0.1897, | |
| "mean_token_accuracy": 0.9346370972692967, | |
| "step": 255 | |
| }, | |
| { | |
| "epoch": 0.6721602843755049, | |
| "grad_norm": 0.10493209958076477, | |
| "learning_rate": 5.830882001149517e-05, | |
| "loss": 0.1977, | |
| "mean_token_accuracy": 0.9318774163722991, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.6850864436904185, | |
| "grad_norm": 0.08989942073822021, | |
| "learning_rate": 5.423832181158274e-05, | |
| "loss": 0.1786, | |
| "mean_token_accuracy": 0.9378982990980148, | |
| "step": 265 | |
| }, | |
| { | |
| "epoch": 0.6980126030053321, | |
| "grad_norm": 0.0723404809832573, | |
| "learning_rate": 5.0261581665395475e-05, | |
| "loss": 0.1854, | |
| "mean_token_accuracy": 0.9353665545582771, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 0.7109387623202456, | |
| "grad_norm": 0.08017778396606445, | |
| "learning_rate": 4.6386747250882224e-05, | |
| "loss": 0.2185, | |
| "mean_token_accuracy": 0.9242644280195236, | |
| "step": 275 | |
| }, | |
| { | |
| "epoch": 0.7238649216351591, | |
| "grad_norm": 0.09016852080821991, | |
| "learning_rate": 4.2621757458127285e-05, | |
| "loss": 0.1912, | |
| "mean_token_accuracy": 0.9338557474315167, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.7367910809500727, | |
| "grad_norm": 0.0839182510972023, | |
| "learning_rate": 3.8974326123887515e-05, | |
| "loss": 0.1764, | |
| "mean_token_accuracy": 0.9384186826646328, | |
| "step": 285 | |
| }, | |
| { | |
| "epoch": 0.7497172402649863, | |
| "grad_norm": 0.08571181446313858, | |
| "learning_rate": 3.5451926227225997e-05, | |
| "loss": 0.1984, | |
| "mean_token_accuracy": 0.931569704413414, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 0.7626433995798998, | |
| "grad_norm": 0.09723369032144547, | |
| "learning_rate": 3.20617745786232e-05, | |
| "loss": 0.2095, | |
| "mean_token_accuracy": 0.9279029227793216, | |
| "step": 295 | |
| }, | |
| { | |
| "epoch": 0.7755695588948134, | |
| "grad_norm": 0.08322826772928238, | |
| "learning_rate": 2.8810817033934656e-05, | |
| "loss": 0.214, | |
| "mean_token_accuracy": 0.926049928367138, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.788495718209727, | |
| "grad_norm": 0.0943559929728508, | |
| "learning_rate": 2.5705714263489776e-05, | |
| "loss": 0.2025, | |
| "mean_token_accuracy": 0.9304434671998024, | |
| "step": 305 | |
| }, | |
| { | |
| "epoch": 0.8014218775246404, | |
| "grad_norm": 0.12426702678203583, | |
| "learning_rate": 2.275282810548811e-05, | |
| "loss": 0.2255, | |
| "mean_token_accuracy": 0.92267579510808, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 0.814348036839554, | |
| "grad_norm": 0.07339806854724884, | |
| "learning_rate": 1.9958208531652877e-05, | |
| "loss": 0.2119, | |
| "mean_token_accuracy": 0.9270739153027534, | |
| "step": 315 | |
| }, | |
| { | |
| "epoch": 0.8272741961544676, | |
| "grad_norm": 0.07293356955051422, | |
| "learning_rate": 1.73275812518469e-05, | |
| "loss": 0.1728, | |
| "mean_token_accuracy": 0.9397997766733169, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.8402003554693812, | |
| "grad_norm": 0.06353917717933655, | |
| "learning_rate": 1.4866335983047264e-05, | |
| "loss": 0.2043, | |
| "mean_token_accuracy": 0.9285617105662822, | |
| "step": 325 | |
| }, | |
| { | |
| "epoch": 0.8531265147842947, | |
| "grad_norm": 0.0852632075548172, | |
| "learning_rate": 1.2579515406713193e-05, | |
| "loss": 0.1894, | |
| "mean_token_accuracy": 0.9348805241286755, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 0.8660526740992083, | |
| "grad_norm": 0.10367190837860107, | |
| "learning_rate": 1.0471804837171916e-05, | |
| "loss": 0.2155, | |
| "mean_token_accuracy": 0.9256119452416897, | |
| "step": 335 | |
| }, | |
| { | |
| "epoch": 0.8789788334141219, | |
| "grad_norm": 0.07647697627544403, | |
| "learning_rate": 8.547522622190385e-06, | |
| "loss": 0.191, | |
| "mean_token_accuracy": 0.9336939886212349, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 0.8919049927290353, | |
| "grad_norm": 0.09329604357481003, | |
| "learning_rate": 6.810611295400171e-06, | |
| "loss": 0.162, | |
| "mean_token_accuracy": 0.9432654656469822, | |
| "step": 345 | |
| }, | |
| { | |
| "epoch": 0.9048311520439489, | |
| "grad_norm": 0.10007894039154053, | |
| "learning_rate": 5.264629498702967e-06, | |
| "loss": 0.2196, | |
| "mean_token_accuracy": 0.9224743604660034, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.9177573113588625, | |
| "grad_norm": 0.09568954259157181, | |
| "learning_rate": 3.91274469120626e-06, | |
| "loss": 0.2326, | |
| "mean_token_accuracy": 0.9203760787844658, | |
| "step": 355 | |
| }, | |
| { | |
| "epoch": 0.9306834706737761, | |
| "grad_norm": 0.09242628514766693, | |
| "learning_rate": 2.7577266596274576e-06, | |
| "loss": 0.217, | |
| "mean_token_accuracy": 0.9255997397005558, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 0.9436096299886896, | |
| "grad_norm": 0.08556357026100159, | |
| "learning_rate": 1.8019418434623404e-06, | |
| "loss": 0.1704, | |
| "mean_token_accuracy": 0.9403167776763439, | |
| "step": 365 | |
| }, | |
| { | |
| "epoch": 0.9565357893036032, | |
| "grad_norm": 0.08201264590024948, | |
| "learning_rate": 1.0473484865448525e-06, | |
| "loss": 0.1877, | |
| "mean_token_accuracy": 0.9344814352691173, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 0.9694619486185168, | |
| "grad_norm": 0.08764708787202835, | |
| "learning_rate": 4.954926249317815e-07, | |
| "loss": 0.1614, | |
| "mean_token_accuracy": 0.943453174829483, | |
| "step": 375 | |
| }, | |
| { | |
| "epoch": 0.9823881079334302, | |
| "grad_norm": 0.09879707545042038, | |
| "learning_rate": 1.4750491933247512e-07, | |
| "loss": 0.1984, | |
| "mean_token_accuracy": 0.9314216762781143, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 0.9953142672483438, | |
| "grad_norm": 0.0833079144358635, | |
| "learning_rate": 4.0983385734660875e-09, | |
| "loss": 0.1962, | |
| "mean_token_accuracy": 0.9319176472723484, | |
| "step": 385 | |
| }, | |
| { | |
| "epoch": 0.9978994991113266, | |
| "mean_token_accuracy": 0.9182563126087189, | |
| "step": 386, | |
| "total_flos": 1.112161775475753e+17, | |
| "train_loss": 0.24216800009339584, | |
| "train_runtime": 6297.1418, | |
| "train_samples_per_second": 0.983, | |
| "train_steps_per_second": 0.061 | |
| } | |
| ], | |
| "logging_steps": 5, | |
| "max_steps": 386, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 100, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.112161775475753e+17, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |