07-05-2023_norbert_batchsize_256_all_units_0.0005_1_200_freeze_True_earlystop_3.txt

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