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Started at: 01:56:14 |
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nb-bert-base, 0.0001, 256 |
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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: 1.3015100979804992 - MAE: 1.0516680420755946 |
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Validation loss : 0.8507005506091647 - MAE: 0.8318188509597813 |
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Epoch: 1 |
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Training loss: 0.4440245842933655 - MAE: 0.5394647191833409 |
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Validation loss : 0.32424148586061263 - MAE: 0.43862617678731985 |
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Epoch: 2 |
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Training loss: 0.2505960041284561 - MAE: 0.38198547219389395 |
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Validation loss : 0.2381516678465737 - MAE: 0.3696802203518852 |
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Epoch: 3 |
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Training loss: 0.23053768396377564 - MAE: 0.36776458218489444 |
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Validation loss : 0.2212383829885059 - MAE: 0.3572178099191108 |
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Epoch: 4 |
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Training loss: 0.21597371935844423 - MAE: 0.35554021244462064 |
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Validation loss : 0.21026734511057535 - MAE: 0.3488585521109782 |
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Epoch: 5 |
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Training loss: 0.20872830510139465 - MAE: 0.3476031323135947 |
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Validation loss : 0.20139924519591862 - MAE: 0.3425159891231733 |
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Epoch: 6 |
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Training loss: 0.20022516429424286 - MAE: 0.3408267822446738 |
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Validation loss : 0.19469042950206333 - MAE: 0.33790795319929817 |
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Epoch: 7 |
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Training loss: 0.19533164620399476 - MAE: 0.33765784528781806 |
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Validation loss : 0.1896511928902732 - MAE: 0.33457055585782747 |
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Epoch: 8 |
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Training loss: 0.19027597367763519 - MAE: 0.3329209978148197 |
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Validation loss : 0.18591706620322335 - MAE: 0.33219709326794744 |
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Epoch: 9 |
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Training loss: 0.18555771172046662 - MAE: 0.3290662293719888 |
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Validation loss : 0.18292564981513554 - MAE: 0.3299967727095573 |
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Epoch: 10 |
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Training loss: 0.1846446442604065 - MAE: 0.3276293998524213 |
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Validation loss : 0.18048570387893254 - MAE: 0.32824969142946475 |
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Epoch: 11 |
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Training loss: 0.1816051173210144 - MAE: 0.32613188722216424 |
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Validation loss : 0.1783987863196267 - MAE: 0.3265462679171466 |
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Epoch: 12 |
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Training loss: 0.17982579946517943 - MAE: 0.32412957211718035 |
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Validation loss : 0.1765216439962387 - MAE: 0.32488143323725027 |
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Epoch: 13 |
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Training loss: 0.1790909779071808 - MAE: 0.3229216448862174 |
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Validation loss : 0.17504170702563393 - MAE: 0.3236139371388936 |
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Epoch: 14 |
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Training loss: 0.1774211621284485 - MAE: 0.3207919500729275 |
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Validation loss : 0.17351186441050637 - MAE: 0.3221245415031124 |
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Epoch: 15 |
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Training loss: 0.17821600377559663 - MAE: 0.3212707642543613 |
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Validation loss : 0.17223627699746025 - MAE: 0.32095450318569146 |
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Epoch: 16 |
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Training loss: 0.1760985553264618 - MAE: 0.31905612711201065 |
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Validation loss : 0.1709346522887548 - MAE: 0.31963847192938516 |
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Epoch: 17 |
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Training loss: 0.17295057356357574 - MAE: 0.3167995904159477 |
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Validation loss : 0.1696055399047004 - MAE: 0.31821233953668937 |
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Epoch: 18 |
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Training loss: 0.17240860641002656 - MAE: 0.31645083995257933 |
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Validation loss : 0.16855635245641074 - MAE: 0.31712442714561223 |
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Epoch: 19 |
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Training loss: 0.17018572688102723 - MAE: 0.3136787256523785 |
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Validation loss : 0.16710178388489616 - MAE: 0.3152995781423579 |
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Prediction MAE: 0.3029 |
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Finished at: 01:56:14 |
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Time taken: 6251 s. |
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0 days 1 hours 44 minutes 11 seconds |
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Preds: [[1.2703101634979248], [1.3942822217941284], [1.4475630521774292], [1.4150139093399048], [1.6086379289627075], [1.468306541442871], [1.4420796632766724], [1.3605833053588867], [1.346192717552185], [1.4540306329727173], [1.4885705709457397], [1.3176413774490356], [1.0513578653335571], [1.381600260734558], [1.5029045343399048], [1.3915899991989136], [1.3262929916381836], [1.4043567180633545], [1.4423723220825195], [1.40500009059906], [1.4164317846298218], [1.4843244552612305], [1.3837820291519165], [1.522727608680725], [1.3622570037841797], [1.3503198623657227], [1.5132051706314087], [1.4525834321975708], [1.4839619398117065], [1.4601444005966187], [1.4726115465164185], [1.389560341835022], [1.2779585123062134], [1.4410945177078247], [1.4570766687393188], [1.4395402669906616], [1.4620163440704346], [1.3968844413757324], [1.3716307878494263], [1.3846770524978638], [1.3284116983413696], [1.3692262172698975], [1.4859719276428223], [1.4460622072219849], [1.4092835187911987], 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