| Started at: 01:06:40 | |
| norbert2, 0.001, 256 | |
| ({'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: 0.30325276613235475 - MAE: 0.4293982748763984 | |
| Validation loss : 0.19999180734157562 - MAE: 0.34104668989482667 | |
| Epoch: 1 | |
| Training loss: 0.20694544672966003 - MAE: 0.3466696903029176 | |
| Validation loss : 0.18371513154771593 - MAE: 0.33124410963863 | |
| Epoch: 2 | |
| Training loss: 0.19004206776618957 - MAE: 0.3316648070614613 | |
| Validation loss : 0.17363174425231087 - MAE: 0.3190259149052752 | |
| Epoch: 3 | |
| Training loss: 0.18229258060455322 - MAE: 0.32259291375499355 | |
| Validation loss : 0.17075078023804557 - MAE: 0.31441923958666185 | |
| Epoch: 4 | |
| Training loss: 0.17311329424381255 - MAE: 0.31484578517047557 | |