File size: 1,596 Bytes
d043f34 488bc1f b87edbd cbde028 55e26f6 e57fd6d b004d0e 634f778 8d6459e 89258c9 ba4eacc 8a2fffb ae2edef ef166cd f02cbfb ed03bba fb7c8fd 8cf4f58 534bcf6 2faa3fe 36409fc c0df6cd 725e497 a484188 c9fb173 d4983ef b349bc8 dc033e3 add74fd |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 |
Started at: 12:14:32
norbert2, 0.001, 64
({'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: 0.2346923259472606 - MAE: 0.3705308435463924
Validation loss : 0.19074462873466086 - MAE: 0.3313150927797273
Epoch: 1
Training loss: 0.17915461460749307 - MAE: 0.32204418629646675
Validation loss : 0.1686817996881225 - MAE: 0.3079816741843133
Epoch: 2
Training loss: 0.16708625108003616 - MAE: 0.3104278141877798
Validation loss : 0.15879175066947937 - MAE: 0.29951784275998267
Epoch: 3
Training loss: 0.1608594950250905 - MAE: 0.3030867682949858
Validation loss : 0.1521104287469026 - MAE: 0.29517622301587365
Epoch: 4
Training loss: 0.15881932037647326 - MAE: 0.3016115035604243
Validation loss : 0.151956861669367 - MAE: 0.2931966101881672
Epoch: 5
Training loss: 0.15447019379247318 - MAE: 0.29864073465130664
Validation loss : 0.14964995217142682 - MAE: 0.29184392887804894
Epoch: 6
Training loss: 0.1534611372785135 - MAE: 0.2953557769595899
Validation loss : 0.1529107755332282 - MAE: 0.2926261188857105
Epoch: 7
Training loss: 0.15290822758518083 - MAE: 0.29560101824705004
Validation loss : 0.1476953180901932 - MAE: 0.29014511293691564
Epoch: 8
Training loss: 0.1538246487728273 - MAE: 0.29723563080095333
|