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Started at: 13:38:19 |
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({'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'}, {}) |
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Epoch: 0 |
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Started at: 13:39:29 |
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({'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'}, {}) |
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Epoch: 0 |
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Started at: 13:41:56 |
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({'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'}, {}) |
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Epoch: 0 |
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Training loss: 0.4006912616583017 - MAE: 0.505064727315284 |
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Validation loss : 0.309359085559845 - MAE: 0.44078509929430004 |
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Epoch: 1 |
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Training loss: 0.250718348301374 - MAE: 0.3922167896234202 |
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Validation loss : 0.1936800718307495 - MAE: 0.33703642252306854 |
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Epoch: 2 |
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Training loss: 0.21618989912363198 - MAE: 0.3581347894767805 |
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Validation loss : 0.18340231478214264 - MAE: 0.33186761275995064 |
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Epoch: 3 |
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Training loss: 0.19920441508293152 - MAE: 0.3401495898235937 |
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Validation loss : 0.1788225769996643 - MAE: 0.32578763746292233 |
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Epoch: 4 |
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Training loss: 0.1918170922077619 - MAE: 0.33396066058861956 |
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Validation loss : 0.17603523135185242 - MAE: 0.32383651430230814 |
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Epoch: 5 |
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Training loss: 0.18379446978752428 - MAE: 0.3262024097906551 |
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Validation loss : 0.17055903375148773 - MAE: 0.31736346780813546 |
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Epoch: 6 |
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Training loss: 0.18060297461656424 - MAE: 0.3232976047514557 |
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Validation loss : 0.16787597239017488 - MAE: 0.3139610728375986 |
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Epoch: 7 |
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Training loss: 0.17637471740062421 - MAE: 0.3190542525274511 |
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Validation loss : 0.1664418339729309 - MAE: 0.3116923743658102 |
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Epoch: 8 |
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Training loss: 0.17314187494608071 - MAE: 0.3164703095268888 |
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Validation loss : 0.16483855247497559 - MAE: 0.31011736716454275 |
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Epoch: 9 |
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Training loss: 0.17189548795039838 - MAE: 0.31287147634421525 |
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Validation loss : 0.16325874030590057 - MAE: 0.3085789200886582 |
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Epoch: 10 |
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Training loss: 0.1694010473214663 - MAE: 0.31118425956842755 |
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Validation loss : 0.16111792027950286 - MAE: 0.3070655232845323 |
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Epoch: 11 |
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Training loss: 0.16910729843836564 - MAE: 0.30878990252768745 |
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Validation loss : 0.16129685938358307 - MAE: 0.3079809592227729 |
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Epoch: 12 |
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Training loss: 0.16443614203196305 - MAE: 0.3071422337796407 |
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Validation loss : 0.15956343114376068 - MAE: 0.3059515625935648 |
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Epoch: 13 |
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Training loss: 0.16316631436347961 - MAE: 0.30409203692834197 |
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Validation loss : 0.15849626958370208 - MAE: 0.3045730253138591 |
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Epoch: 14 |
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Training loss: 0.1635306592171009 - MAE: 0.3037401073073271 |
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Validation loss : 0.158303701877594 - MAE: 0.30481573363411335 |
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Epoch: 15 |
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Training loss: 0.15958423912525177 - MAE: 0.30241642588486894 |
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Validation loss : 0.15796978175640106 - MAE: 0.30471954056125206 |
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Epoch: 16 |
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Training loss: 0.15946145011828497 - MAE: 0.30110866489241084 |
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