| Started at: 14:37:27 | |
| norbert, 5e-06, 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': 32922, '_commit_hash': '075d4e3705390691013e859faffc5696d071e33b'}, {}) | |
| Epoch: 0 | |
| Training loss: 0.49241517592560163 - MAE: 0.5587459042828556 | |
| Validation loss : 0.35868610159770864 - MAE: 0.4753577830860895 | |
| Epoch: 1 | |
| Training loss: 0.3175132931633429 - MAE: 0.445445539977737 | |
| Validation loss : 0.25557071695456635 - MAE: 0.3910300926165894 | |
| Epoch: 2 | |
| Training loss: 0.23261894990097393 - MAE: 0.3786371806608561 | |
| Validation loss : 0.20166053240363663 - MAE: 0.3493823568582558 | |
| Epoch: 3 | |
| Training loss: 0.19200442243706095 - MAE: 0.3470611576431532 | |
| Validation loss : 0.1713124976770298 - MAE: 0.3275480687779099 | |
| Epoch: 4 | |
| Training loss: 0.17018077576702292 - MAE: 0.3278047750176803 | |