| Started at: 04:40:02 | |
| norbert, 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': 32922, '_commit_hash': '075d4e3705390691013e859faffc5696d071e33b'}, {}) | |
| Epoch: 0 | |
| Training loss: 0.490340878367424 - MAE: 0.5502402056555946 | |
| Validation loss : 0.2153187460369534 - MAE: 0.34847071386417267 | |
| Epoch: 1 | |
| Training loss: 0.20058341324329376 - MAE: 0.3423091295468801 | |
| Validation loss : 0.17609875235292646 - MAE: 0.3207490493525149 | |
| Epoch: 2 | |
| Training loss: 0.17480310261249543 - MAE: 0.31785240619760485 | |
| Validation loss : 0.17104972898960114 - MAE: 0.31704982503328616 | |
| Epoch: 3 | |
| Training loss: 0.16844426095485687 - MAE: 0.31094802683732065 | |
| Validation loss : 0.16871228482988146 - MAE: 0.3151468612097043 | |
| Epoch: 4 | |
| Training loss: 0.16473501205444335 - MAE: 0.3070631323882683 | |