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Started at: 09:30:12 |
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({'_name_or_path': '/disk4/folder1/working/checkpoints/huggingface/native_pytorch/step4_8/', 'attention_probs_dropout_prob': 0.1, 'directionality': 'bidi', 'gradient_checkpointing': False, 'hidden_act': 'gelu', 'hidden_dropout_prob': 0.1, 'hidden_size': 768, 'initializer_range': 0.02, 'intermediate_size': 3072, 'layer_norm_eps': 1e-12, 'max_position_embeddings': 512, 'model_type': 'bert', 'num_attention_heads': 12, 'num_hidden_layers': 12, 'pad_token_id': 0, 'pooler_fc_size': 768, 'pooler_num_attention_heads': 12, 'pooler_num_fc_layers': 3, 'pooler_size_per_head': 128, 'pooler_type': 'first_token_transform', 'position_embedding_type': 'absolute', 'type_vocab_size': 2, 'vocab_size': 119547, '_commit_hash': '82b194c0b3ea1fcad65f1eceee04adb26f9f71ac'}, {}) |
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Epoch: 0 |
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Training loss: 0.21533221261281715 - MSE: 0.34197339416593503 |
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Validation loss : 0.14451597188599408 - MSE: 0.2960304229995927 |
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Epoch: 1 |
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Training loss: 0.1517588474640721 - MSE: 0.2956301456982305 |
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Validation loss : 0.12380113103426993 - MSE: 0.26862038821082024 |
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Epoch: 2 |
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Training loss: 0.14443182972700971 - MSE: 0.28899192076676716 |
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Validation loss : 0.12112187955062836 - MSE: 0.2663072116915828 |
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Epoch: 3 |
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Training loss: 0.14475514602504277 - MSE: 0.29038970057934027 |
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Validation loss : 0.13478531874716282 - MSE: 0.2850182042234337 |
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Epoch: 4 |
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Training loss: 0.1408511215134671 - MSE: 0.2861137754569417 |
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Validation loss : 0.13267319882288575 - MSE: 0.2831877799249014 |
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Epoch: 5 |
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Training loss: 0.136032929232246 - MSE: 0.279424393321389 |
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Validation loss : 0.11587779759429395 - MSE: 0.2579734090027159 |
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Epoch: 6 |
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Training loss: 0.1351911084432351 - MSE: 0.2779842455851462 |
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Validation loss : 0.11928518384229392 - MSE: 0.25956903308497203 |
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Epoch: 7 |
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Training loss: 0.14176342871628309 - MSE: 0.28619337123151156 |
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Validation loss : 0.11641600204166025 - MSE: 0.2570362210167332 |
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Epoch: 8 |
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Training loss: 0.13039547287319836 - MSE: 0.2738442464898942 |
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Validation loss : 0.11378515849355608 - MSE: 0.2556338147619499 |
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Epoch: 9 |
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Training loss: 0.13758943127958398 - MSE: 0.2815961984005678 |
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Validation loss : 0.11927694408223033 - MSE: 0.2592867935668437 |
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Epoch: 10 |
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Training loss: 0.13600184517471414 - MSE: 0.27845210879496773 |
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Validation loss : 0.12289933965075761 - MSE: 0.2641740314788876 |
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Epoch: 11 |
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Training loss: 0.12924143111235217 - MSE: 0.27266305881012975 |
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Validation loss : 0.11782969336491078 - MSE: 0.258937672893353 |
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Epoch: 12 |
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Training loss: 0.1344190981827284 - MSE: 0.28026616499269114 |
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Validation loss : 0.11472726217471063 - MSE: 0.25845796944440735 |
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Epoch: 13 |
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Training loss: 0.1375312733414926 - MSE: 0.28103011966626457 |
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Validation loss : 0.11630514287389815 - MSE: 0.25740234173235876 |
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Epoch: 14 |
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Training loss: 0.13571442161735736 - MSE: 0.2811562022346792 |
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Validation loss : 0.11639386380556971 - MSE: 0.2606048270604333 |
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Epoch: 15 |
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Training loss: 0.14136280589982084 - MSE: 0.286976132520683 |
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Validation loss : 0.12002589798066765 - MSE: 0.26447004281317277 |
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Epoch: 16 |
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Training loss: 0.13457591416020143 - MSE: 0.2796572462970741 |
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Validation loss : 0.11478170729242265 - MSE: 0.2548193569305113 |
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Epoch: 17 |
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Training loss: 0.1362821259780934 - MSE: 0.28092215080945243 |
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Validation loss : 0.11653975711669773 - MSE: 0.25721588885744495 |
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Epoch: 18 |
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Training loss: 0.1377105382320128 - MSE: 0.28347960023660485 |
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Validation loss : 0.1213059100555256 - MSE: 0.2660068857726401 |
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Epoch: 19 |
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Training loss: 0.13346115291902894 - MSE: 0.2807079509831734 |
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Validation loss : 0.11323059559799731 - MSE: 0.2554361889847314 |
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Epoch: 20 |
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Training loss: 0.1303498934758337 - MSE: 0.27570483001616874 |
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Validation loss : 0.11533307109493762 - MSE: 0.25642082826334445 |
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Epoch: 21 |
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Training loss: 0.1338770524843743 - MSE: 0.2793606339234174 |
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Validation loss : 0.12536148354411125 - MSE: 0.2694582264007295 |
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Epoch: 22 |
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Training loss: 0.13188404574206 - MSE: 0.2766540656590396 |
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Validation loss : 0.13748734653927386 - MSE: 0.2803560604293125 |
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Epoch: 23 |
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Training loss: 0.13104969533650498 - MSE: 0.2743808910846676 |
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Validation loss : 0.1219000396085903 - MSE: 0.2662790239332935 |
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Epoch: 24 |
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Training loss: 0.13551811905283678 - MSE: 0.28055588907791484 |
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Validation loss : 0.14736322406679392 - MSE: 0.29964323991544006 |
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Epoch: 25 |
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Training loss: 0.13718021135581168 - MSE: 0.28318757243875925 |
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Validation loss : 0.11899347451981157 - MSE: 0.2621157228491029 |
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Epoch: 26 |
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Training loss: 0.13100487805510821 - MSE: 0.2789037081560569 |
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Validation loss : 0.13913047080859542 - MSE: 0.2888981162464006 |
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Epoch: 27 |
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Training loss: 0.13614017461475572 - MSE: 0.2837393993703743 |
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Validation loss : 0.14889122126623988 - MSE: 0.3014935638998395 |
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Epoch: 28 |
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Training loss: 0.13263703659176826 - MSE: 0.27921183830932944 |
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Validation loss : 0.14452552725560963 - MSE: 0.2970602020864135 |
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Epoch: 29 |
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Training loss: 0.13145011847740726 - MSE: 0.2774902108509513 |
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Validation loss : 0.1312379497103393 - MSE: 0.27995068426344005 |
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Epoch: 30 |
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Training loss: 0.13625472262501717 - MSE: 0.28392471717865353 |
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Validation loss : 0.15018613613210618 - MSE: 0.30232524799748717 |
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Epoch: 31 |
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Training loss: 0.13128532233991122 - MSE: 0.2781403466314832 |
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Validation loss : 0.13302770163863897 - MSE: 0.27928520940577073 |
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Epoch: 32 |
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Training loss: 0.13286432255255548 - MSE: 0.2781598539047067 |
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Validation loss : 0.12104220653418452 - MSE: 0.26438590515272153 |
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Epoch: 33 |
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Training loss: 0.13172871352810608 - MSE: 0.27850604457285644 |
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Validation loss : 0.14591129589825869 - MSE: 0.29560644293769656 |
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Epoch: 34 |
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Training loss: 0.1325178251062569 - MSE: 0.27838022017297265 |
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Validation loss : 0.12794714840129018 - MSE: 0.2727071648473611 |
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Epoch: 35 |
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Training loss: 0.13006003110816605 - MSE: 0.27699513519377594 |
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Validation loss : 0.13357223267666996 - MSE: 0.27988665688417314 |
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Epoch: 36 |
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Training loss: 0.13186843524637976 - MSE: 0.27935558347443085 |
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Validation loss : 0.13355786562897265 - MSE: 0.28024383311958445 |
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Epoch: 37 |
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Training loss: 0.13732868425155942 - MSE: 0.28687534250523655 |
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Validation loss : 0.14360901527106762 - MSE: 0.2939016175000688 |
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Epoch: 38 |
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Training loss: 0.1307220984446375 - MSE: 0.2767118099647979 |
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Validation loss : 0.11899578187149018 - MSE: 0.2615764650759047 |
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Epoch: 39 |
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Training loss: 0.12640678902205668 - MSE: 0.27050567044672175 |
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Validation loss : 0.12004342454019934 - MSE: 0.2610282185264623 |
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Epoch: 40 |
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Training loss: 0.13265986238655292 - MSE: 0.2800912648995999 |
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Validation loss : 0.13461088319309056 - MSE: 0.28160051242548434 |
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Epoch: 41 |
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Training loss: 0.12853169970606504 - MSE: 0.27416806578210084 |
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Validation loss : 0.14122066367417574 - MSE: 0.290220834379852 |
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Epoch: 42 |
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Training loss: 0.1282540511143835 - MSE: 0.27264997795586526 |
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Validation loss : 0.1272425636416301 - MSE: 0.27375264556712864 |
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Epoch: 43 |
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Training loss: 0.12824119266710785 - MSE: 0.27750363788126614 |
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Validation loss : 0.16908318153582513 - MSE: 0.3251132731452344 |
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Epoch: 44 |
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Training loss: 0.13700977257992092 - MSE: 0.285280645453895 |
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Validation loss : 0.14622909598983824 - MSE: 0.2962210706677979 |
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Epoch: 45 |
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Training loss: 0.12867848398654083 - MSE: 0.27772063118250573 |
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Validation loss : 0.11887926666531712 - MSE: 0.2596756524067132 |
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Epoch: 46 |
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Training loss: 0.12666144131829865 - MSE: 0.2715553219006141 |
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Validation loss : 0.1213836541865021 - MSE: 0.26460106517288295 |
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Epoch: 47 |
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Training loss: 0.12143220446611705 - MSE: 0.26636162322731693 |
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Validation loss : 0.13553410721942782 - MSE: 0.2814099855963832 |
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Epoch: 48 |
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Training loss: 0.1331445730046222 - MSE: 0.28066945952464484 |
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Validation loss : 0.126083126058802 - MSE: 0.2692692344785428 |
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Epoch: 49 |
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Training loss: 0.12848863872258287 - MSE: 0.2728191697215874 |
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Validation loss : 0.13695504632778466 - MSE: 0.2860352762868388 |
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Prediction MSE: 0.3212 |
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Finished at: 09:30:12 |
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Time taken: 3272 s. |
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0 days 0 hours 54 minutes 32 seconds |
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