| Started at: 12:34:41 | |
| norbert2, 0.001, 128 | |
| ({'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: 0.2549108934402466 - MAE: 0.3869476704225354 | |
| Validation loss : 0.17967465169289532 - MAE: 0.32511726772455946 | |
| Epoch: 1 | |
| Training loss: 0.18461654603481292 - MAE: 0.32631207394936323 | |
| Validation loss : 0.16705343916135676 - MAE: 0.3136336903292028 | |
| Epoch: 2 | |
| Training loss: 0.1698657414317131 - MAE: 0.312740198772678 | |
| Validation loss : 0.16012747936389027 - MAE: 0.3062873321185852 | |
| Epoch: 3 | |
| Training loss: 0.16400991275906562 - MAE: 0.30695357768639636 | |
| Validation loss : 0.1566739748505985 - MAE: 0.3014212709482245 | |
| Epoch: 4 | |
| Training loss: 0.15812634140253068 - MAE: 0.30061261922994836 | |