home-standard-results
/
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 | |
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 | |