| Started at: 11:26:09 | |
| norbert2, 1e-06, 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: 0.49638876644047825 - MAE: 0.5629371267396844 | |
| Validation loss : 0.40102894996341903 - MAE: 0.5074595333213087 | |
| Epoch: 1 | |
| Training loss: 0.3962893469767137 - MAE: 0.4999512355797335 | |
| Validation loss : 0.34069604465835973 - MAE: 0.46270536590775785 | |
| Epoch: 2 | |
| Training loss: 0.34560276595028966 - MAE: 0.46357389873235305 | |
| Validation loss : 0.29479486848178665 - MAE: 0.425237878413089 | |
| Epoch: 3 | |
| Training loss: 0.30231391191482543 - MAE: 0.4322491431025793 | |
| Validation loss : 0.2530422657728195 - MAE: 0.3918358808926381 | |
| Epoch: 4 | |
| Training loss: 0.26676738343455575 - MAE: 0.4045488415909569 | |