Started at: 00:24:23 ({'architectures': ['BertForMaskedLM'], 'attention_probs_dropout_prob': 0.1, 'hidden_act': 'gelu', 'hidden_dropout_prob': 0.1, 'hidden_size': 768, 'initializer_range': 0.02, 'intermediate_size': 3072, 'max_position_embeddings': 512, 'model_type': 'bert', 'num_attention_heads': 12, 'num_hidden_layers': 12, 'type_vocab_size': 2, 'vocab_size': 32922, '_commit_hash': '075d4e3705390691013e859faffc5696d071e33b'}, {}) Epoch: 0 Training loss: 0.6361208361387253 - MAE: 0.6347873231265873 Validation loss : 0.33865517377853394 - MAE: 0.4740741020180635 Epoch: 1 Training loss: 0.21345499098300935 - MAE: 0.3540912858998663 Validation loss : 0.18473448190424177 - MAE: 0.3282540270842396 Epoch: 2 Training loss: 0.18606460213661194 - MAE: 0.32889828686188877 Validation loss : 0.18045285178555381 - MAE: 0.32713884374037794 Epoch: 3 Training loss: 0.17846946954727172 - MAE: 0.31904566117043975 Validation loss : 0.17773988511827257 - MAE: 0.32482577310153565 Epoch: 4 Training loss: 0.17139309346675874 - MAE: 0.31441827165194275 Validation loss : 0.17418616182274288 - MAE: 0.32107063596093277 Epoch: 5 Training loss: 0.17030848145484925 - MAE: 0.31198532199217943 Validation loss : 0.17218486799134147 - MAE: 0.3190577970415032 Epoch: 6 Training loss: 0.16878579378128053 - MAE: 0.31078672095469284 Validation loss : 0.17055005000697243 - MAE: 0.3174862826881529 Epoch: 7 Training loss: 0.1679440525174141 - MAE: 0.31018192416787727 Validation loss : 0.16925331950187683 - MAE: 0.31617688409581507 Epoch: 8 Training loss: 0.16459781765937806 - MAE: 0.3076978685246546 Validation loss : 0.16737455626328787 - MAE: 0.313686903818875 Epoch: 9 Training loss: 0.1616947764158249 - MAE: 0.3042913169405816 Validation loss : 0.16636485523647732 - MAE: 0.3125500280647287 Started at: 01:47:29 ({'architectures': ['BertForMaskedLM'], 'attention_probs_dropout_prob': 0.1, 'hidden_act': 'gelu', 'hidden_dropout_prob': 0.1, 'hidden_size': 768, 'initializer_range': 0.02, 'intermediate_size': 3072, 'max_position_embeddings': 512, 'model_type': 'bert', 'num_attention_heads': 12, 'num_hidden_layers': 12, 'type_vocab_size': 2, 'vocab_size': 32922, '_commit_hash': '075d4e3705390691013e859faffc5696d071e33b'}, {}) Epoch: 0 Training loss: 0.6361208361387253 - MAE: 0.6347873231265873 Validation loss : 0.33865517377853394 - MAE: 0.4740741020180635 Epoch: 1 Training loss: 0.21345499098300935 - MAE: 0.3540912858998663 Validation loss : 0.18473448190424177 - MAE: 0.3282540270842396 Epoch: 2 Training loss: 0.18606460213661194 - MAE: 0.32889828686188877 Validation loss : 0.18045285178555381 - MAE: 0.32713884374037794 Epoch: 3 Training loss: 0.17846946954727172 - MAE: 0.31904566117043975 Validation loss : 0.17773988511827257 - MAE: 0.32482577310153565 Epoch: 4 Training loss: 0.17139309346675874 - MAE: 0.31441827165194275 Validation loss : 0.17418616182274288 - MAE: 0.32107063596093277 Epoch: 5 Training loss: 0.17030848145484925 - MAE: 0.31198532199217943 Validation loss : 0.17218486799134147 - MAE: 0.3190577970415032 Epoch: 6 Training loss: 0.16878579378128053 - MAE: 0.31078672095469284 Validation loss : 0.17055005000697243 - MAE: 0.3174862826881529 Epoch: 7 Training loss: 0.1679440525174141 - MAE: 0.31018192416787727 Validation loss : 0.16925331950187683 - MAE: 0.31617688409581507 Epoch: 8 Training loss: 0.16459781765937806 - MAE: 0.3076978685246546 Validation loss : 0.16737455626328787 - MAE: 0.313686903818875 Epoch: 9 Training loss: 0.1616947764158249 - MAE: 0.3042913169405816 Validation loss : 0.16636485523647732 - MAE: 0.3125500280647287 Epoch: 10 Training loss: 0.1614231312274933 - MAE: 0.30281138726351875 Validation loss : 0.16527396109369066 - MAE: 0.310935884275779 Epoch: 11 Training loss: 0.15981832027435303 - MAE: 0.3036158805084463 Validation loss : 0.16393334501319462 - MAE: 0.3090806138434242 Epoch: 12 Training loss: 0.1593213653564453 - MAE: 0.30149370061446074 Validation loss : 0.1633289953072866 - MAE: 0.3085658493030115 Epoch: 13 Training loss: 0.15871796071529387 - MAE: 0.30060354026448305 Validation loss : 0.16265849934683907 - MAE: 0.30747698672849366 Epoch: 14 Training loss: 0.15790118873119355 - MAE: 0.29930967856529156 Validation loss : 0.1618209034204483 - MAE: 0.3064716457801814 Epoch: 15 Training loss: 0.15594214886426927 - MAE: 0.2976610109442401 Validation loss : 0.1610150718026691 - MAE: 0.30535239027482275 Epoch: 16 Training loss: 0.15538664102554323 - MAE: 0.29795636864916086 Validation loss : 0.16068673796123928 - MAE: 0.3052027362150315 Epoch: 17 Training loss: 0.15572097659111023 - MAE: 0.2970189372002837 Validation loss : 0.16038145456049177 - MAE: 0.3048613001870874 Epoch: 18 Training loss: 0.15602077960968017 - MAE: 0.29858003145757656 Validation loss : 0.15998652411831749 - MAE: 0.3046400836871299 Epoch: 19 Training loss: 0.15404434442520143 - MAE: 0.2965631480258582 Validation loss : 0.15918334821859995 - MAE: 0.30341047570391 Epoch: 20 Training loss: 0.1545851182937622 - MAE: 0.2953672130807228 Validation loss : 0.159189459350374 - MAE: 0.3039924584986621 Epoch: 21 Training loss: 0.1538997608423233 - MAE: 0.2951063268203139 Validation loss : 0.1588745100630654 - MAE: 0.3035080415858433 Epoch: 22 Training loss: 0.15349575638771057 - MAE: 0.2960618871323136 Validation loss : 0.1587853944963879 - MAE: 0.30362275019200125 Stopped after 22 epochs. Prediction MAE: 0.2912 Finished at: 01:47:29 Time taken: 5932 s. 0 days 1 hours 38 minutes 52 seconds Preds: [[1.327181339263916], [1.5583239793777466], [1.5685631036758423], [1.641000747680664], [1.290209412574768], [1.4720354080200195], [1.433440923690796], [1.4472565650939941], [1.4677317142486572], [1.3397514820098877], [1.32331383228302], [1.4473586082458496], [1.3498815298080444], [1.3020323514938354], [1.3260431289672852], [1.6269316673278809], [1.3753689527511597], [1.6503009796142578], [1.3086190223693848], [1.3950865268707275], [1.5360801219940186], [1.4535107612609863], [1.4894124269485474], [1.4926819801330566], [1.214043378829956], [1.2918424606323242], [1.6431587934494019], [1.434032917022705], [1.19368314743042], [1.432930827140808], [1.4914872646331787], [1.2482728958129883], [1.383461833000183], [1.3850288391113281], [1.3756344318389893], [1.4065213203430176], [1.3632375001907349], [1.4483085870742798], [1.4230635166168213], [1.4773540496826172], [1.4709563255310059], 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