File size: 1,553 Bytes
fd32488 cbe769a fa18bdc c117686 540d12d 9d7e8c4 8b0eb84 3f32498 5b21d58 f0f6ff0 9aa084e 5eaa3b7 b9da547 8dcf2cc b93ce6f 3074baa cedee85 de1811a 08f3e80 5076d29 59df5ad 8d78666 1d1169d c1ce569 8c4c3e2 da01cef eeaf256 b56f9c5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 |
Started at: 13:10:36 ({'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': 'afb829e3d0b861bd5f8cda6522b32ca0b097d7eb'}, {}) Epoch: 0 Training loss: 2.7300986201327464 - MSE: 1.5973443396223515 Validation loss : 2.7675703980705957 - MSE: 1.609589820176938 Epoch: 1 Training loss: 2.7547256934461255 - MSE: 1.6089351524297428 Validation loss : 2.7675703980705957 - MSE: 1.609589820176938 Epoch: 2 Training loss: 2.7547256934461255 - MSE: 1.6089351524297428 Validation loss : 2.7675703980705957 - MSE: 1.609589820176938 Epoch: 3 Training loss: 2.7547256934461255 - MSE: 1.6089351524297428 Validation loss : 2.7675703980705957 - MSE: 1.609589820176938 Epoch: 4 Training loss: 2.7547256934461255 - MSE: 1.6089351524297428 Validation loss : 2.7675703980705957 - MSE: 1.609589820176938 Epoch: 5 Training loss: 2.7547256934461255 - MSE: 1.6089351524297428 Validation loss : 2.7675703980705957 - MSE: 1.609589820176938 Epoch: 6 Training loss: 2.7547256934461255 - MSE: 1.6089351524297428 Validation loss : 2.7675703980705957 - MSE: 1.609589820176938 Epoch: 7 Training loss: 2.7547256934461255 - MSE: 1.6089351524297428 Validation loss : 2.7675703980705957 - MSE: 1.609589820176938 Epoch: 8 Training loss: 2.7547256934461255 - MSE: 1.6089351524297428 |