Started at: 11:26:09
norbert2, 1e-06, 256
({'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': 50104, '_commit_hash': 'f22bb47f536f62edfcd86ca9320ade990eafbe22'}, {})
Epoch: 0
Training loss: 0.49638876644047825 - MAE: 0.5629371267396844
Validation loss : 0.40102894996341903 - MAE: 0.5074595333213087
Epoch: 1
Training loss: 0.3962893469767137 - MAE: 0.4999512355797335
Validation loss : 0.34069604465835973 - MAE: 0.46270536590775785
Epoch: 2
Training loss: 0.34560276595028966 - MAE: 0.46357389873235305
Validation loss : 0.29479486848178665 - MAE: 0.425237878413089
Epoch: 3
Training loss: 0.30231391191482543 - MAE: 0.4322491431025793
Validation loss : 0.2530422657728195 - MAE: 0.3918358808926381
Epoch: 4
Training loss: 0.26676738343455575 - MAE: 0.4045488415909569
Validation loss : 0.22476527094841003 - MAE: 0.3697079008857467
Epoch: 5
Training loss: 0.24020280133594166 - MAE: 0.38459086994265346
Validation loss : 0.20575479143544248 - MAE: 0.35532429110010383
Epoch: 6
Training loss: 0.22542023929682645 - MAE: 0.3725998866063251
Validation loss : 0.1922520234396583 - MAE: 0.34386633509290826
Epoch: 7
Training loss: 0.20791846757585353 - MAE: 0.3593585588710985
Validation loss : 0.18115280098036715 - MAE: 0.3338710560830552
Epoch: 8
Training loss: 0.1955847908150066 - MAE: 0.3493787802560064
Validation loss : 0.17247353258885836 - MAE: 0.32570055286906396
Epoch: 9
Training loss: 0.18719206181439488 - MAE: 0.34056042854960156
Validation loss : 0.16388126501911565 - MAE: 0.31779819344404947
Epoch: 10
Training loss: 0.17898870544000106 - MAE: 0.33377424634339875
Validation loss : 0.15652799920031898 - MAE: 0.31065961483700905
Epoch: 11
Training loss: 0.1720216458494013 - MAE: 0.32778831132601455
Validation loss : 0.14991405449415507 - MAE: 0.3038376916810004
Epoch: 12
Training loss: 0.16193578676743942 - MAE: 0.3192367127206365
Validation loss : 0.1440117061138153 - MAE: 0.2973964881408289
Epoch: 13
Training loss: 0.15627174228429794 - MAE: 0.3120230587017449
Validation loss : 0.13841195875092557 - MAE: 0.2912305185896088
Epoch: 14
Training loss: 0.151918286356059 - MAE: 0.3073698338406959
Validation loss : 0.13347911795503214 - MAE: 0.2860571951352352
Epoch: 15
Training loss: 0.14645352119749241 - MAE: 0.30142552742313816
Validation loss : 0.12817468298108955 - MAE: 0.2799989861811654
Epoch: 16
Training loss: 0.14071449407122352 - MAE: 0.2956131623055075
Validation loss : 0.1238085549128683 - MAE: 0.2744789527743795
Epoch: 17
Training loss: 0.13533484786748887 - MAE: 0.2917097012287612
Validation loss : 0.11987310098974328 - MAE: 0.26914133426691234
Epoch: 18
Training loss: 0.13042505302212454 - MAE: 0.2856356158457083
Validation loss : 0.11547282534210306 - MAE: 0.2638948767132387
Epoch: 19
Training loss: 0.12674153663895346 - MAE: 0.28155777611412386
Validation loss : 0.11141229577754673 - MAE: 0.2590317474857345
Prediction MAE: 0.2599
Finished at: 11:26:09
Time taken: 2464 s.
0 days 0 hours 41 minutes 4 seconds

 
 

Preds: [[0.8942417502403259], [1.8524463176727295], [1.7426778078079224], [1.3453274965286255], [1.966011881828308], [0.8490626811981201], [1.6279513835906982], [1.7829281091690063], [1.3781554698944092], [1.577659249305725], [2.1423027515411377], [2.432528495788574], [2.0780022144317627], [0.046797797083854675], [1.1721326112747192], [1.1889516115188599], [0.8201653361320496], [1.8761941194534302], [1.5274783372879028], [1.9729712009429932], [2.2194759845733643], [1.9213534593582153], [1.0879112482070923], [1.0508185625076294], [0.9358403086662292], [1.9911530017852783], [0.8573825359344482], [1.1768079996109009], [1.9599167108535767], [1.357201337814331], [2.1678693294525146], [2.3617734909057617], [1.4113610982894897], [0.4083305597305298], [1.3118149042129517], [1.9455188512802124], [1.1213750839233398], [1.2593506574630737], [1.623447060585022], [1.2740743160247803], [1.9925750494003296], [1.6521679162979126], [0.26883363723754883], [1.3445829153060913], [2.093977212905884], 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