home-standard-results / oversampled_False_unfrozen_norbert2_256_1e-06_64.txt
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Started at: 12:07:49
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: 0.30783953905105593 - MAE: 0.43719580843584505
Validation loss : 0.21560138960679373 - MAE: 0.3596361274665927
Epoch: 1
Training loss: 0.2266489964723587 - MAE: 0.3668055945655404
Validation loss : 0.2019458363453547 - MAE: 0.34808209428471554
Epoch: 2
Training loss: 0.19879530966281891 - MAE: 0.3426665569097344
Validation loss : 0.18689965373939937 - MAE: 0.3323873764788491
Epoch: 3
Training loss: 0.19044960021972657 - MAE: 0.3341355262436057
Validation loss : 0.17861351039674547 - MAE: 0.32349605653410407
Epoch: 4
Training loss: 0.18339800894260405 - MAE: 0.3276666275734149
Validation loss : 0.17232751680745018 - MAE: 0.316849883292955
Epoch: 5
Training loss: 0.17674655199050904 - MAE: 0.32018679623163826
Validation loss : 0.16676822139157188 - MAE: 0.31070956479175915
Epoch: 6
Training loss: 0.17175395369529725 - MAE: 0.3132561194660417
Validation loss : 0.16173937420050302 - MAE: 0.30571354481973123
Epoch: 7
Training loss: 0.16629139453172684 - MAE: 0.3090430212290697
Validation loss : 0.1575402236647076 - MAE: 0.30089353544828384
Epoch: 8
Training loss: 0.16224935233592988 - MAE: 0.3062369513645003
Validation loss : 0.15363233288129172 - MAE: 0.29686793533262296
Epoch: 9
Training loss: 0.15677126228809357 - MAE: 0.3001369819741856
Validation loss : 0.1501677847570843 - MAE: 0.2930093392614317
Epoch: 10
Training loss: 0.1522154378890991 - MAE: 0.2944758665139634
Validation loss : 0.1469805646273825 - MAE: 0.2896878885467087
Epoch: 11
Training loss: 0.14997684746980666 - MAE: 0.2930107961544775
Validation loss : 0.14408415887090895 - MAE: 0.28684108941263253
Epoch: 12
Training loss: 0.1469377765059471 - MAE: 0.29026566478408594
Validation loss : 0.14135516103770998 - MAE: 0.2838060469660866
Epoch: 13
Training loss: 0.1430877184867859 - MAE: 0.2856650031673201
Validation loss : 0.1389518520898289 - MAE: 0.2805393504731374
Epoch: 14
Training loss: 0.14132562696933745 - MAE: 0.2830484027164898
Validation loss : 0.1361759594745106 - MAE: 0.27795312559437724
Epoch: 15
Training loss: 0.1375071695446968 - MAE: 0.2793070474640609
Validation loss : 0.1337506083978547 - MAE: 0.2752909288563907
Epoch: 16
Training loss: 0.13490652769804 - MAE: 0.27698289906517004
Validation loss : 0.13174073066976336 - MAE: 0.27296385689056446
Epoch: 17
Training loss: 0.13232652187347413 - MAE: 0.2744538024977914
Validation loss : 0.12997501095136008 - MAE: 0.2712409643126546
Epoch: 18
Training loss: 0.12868250519037247 - MAE: 0.27025114055170957
Validation loss : 0.12838428136375216 - MAE: 0.269251110723689
Epoch: 19
Training loss: 0.12781909823417664 - MAE: 0.26943654785937726
Validation loss : 0.12671341415908602 - MAE: 0.26766863958779935
Prediction MAE: 0.2552
Finished at: 12:07:49
Time taken: 1289 s.
0 days 0 hours 21 minutes 29 seconds
Preds: [[1.496268630027771], [1.260664701461792], [1.609431505203247], [1.5130565166473389], [1.6063662767410278], [1.3110861778259277], [1.4853553771972656], [1.2281155586242676], [1.5556477308273315], [1.3175437450408936], [1.1448864936828613], [1.3076741695404053], [1.4133505821228027], [1.1998531818389893], [1.395456314086914], [1.466687798500061], [0.898349404335022], [1.4963090419769287], [1.4433177709579468], [0.9883378148078918], [1.5347516536712646], [1.3653111457824707], [1.2273495197296143], [1.3386306762695312], [1.38761568069458], [1.1133134365081787], [1.4193532466888428], [1.5719168186187744], [1.2093541622161865], [1.3488537073135376], [1.4566130638122559], [1.002494215965271], [1.8352527618408203], [1.4142932891845703], [1.3123239278793335], [1.3303272724151611], [1.1490062475204468], [1.7100915908813477], [1.3934144973754883], [1.3760051727294922], [1.1695101261138916], [1.0487631559371948], [1.6010701656341553], [1.4699453115463257], [1.2285842895507812], 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