| Started at: 12:15:47 | |
| nb-bert-base, 0.001, 128 | |
| ({'_name_or_path': '/disk4/folder1/working/checkpoints/huggingface/native_pytorch/step4_8/', 'attention_probs_dropout_prob': 0.1, 'directionality': 'bidi', 'gradient_checkpointing': False, 'hidden_act': 'gelu', 'hidden_dropout_prob': 0.1, 'hidden_size': 768, 'initializer_range': 0.02, 'intermediate_size': 3072, 'layer_norm_eps': 1e-12, 'max_position_embeddings': 512, 'model_type': 'bert', 'num_attention_heads': 12, 'num_hidden_layers': 12, 'pad_token_id': 0, 'pooler_fc_size': 768, 'pooler_num_attention_heads': 12, 'pooler_num_fc_layers': 3, 'pooler_size_per_head': 128, 'pooler_type': 'first_token_transform', 'position_embedding_type': 'absolute', 'type_vocab_size': 2, 'vocab_size': 119547, '_commit_hash': '82b194c0b3ea1fcad65f1eceee04adb26f9f71ac'}, {}) | |
| Epoch: 0 | |
| Training loss: 0.31982501298189164 - MAE: 0.4287338867738713 | |
| Validation loss : 0.16746729612350464 - MAE: 0.31536104399438897 | |
| Epoch: 1 | |
| Training loss: 0.16691179797053338 - MAE: 0.3121238207010245 | |
| Validation loss : 0.15773158739594853 - MAE: 0.3046954138541735 | |
| Epoch: 2 | |
| Training loss: 0.15689186841249467 - MAE: 0.3008464796601783 | |
| Validation loss : 0.15233191146570094 - MAE: 0.29779621490764496 | |
| Epoch: 3 | |
| Training loss: 0.15314741998910905 - MAE: 0.296528327871902 | |
| Validation loss : 0.1497987894450917 - MAE: 0.29459793118874833 | |
| Epoch: 4 | |
| Training loss: 0.14834036141633988 - MAE: 0.2910206240007747 | |
| Validation loss : 0.1474542622180546 - MAE: 0.2915430406480437 | |
| Epoch: 5 | |
| Training loss: 0.14879375964403152 - MAE: 0.2913913004246226 | |
| Validation loss : 0.14557460432543473 - MAE: 0.2891730110373066 | |
| Epoch: 6 | |
| Training loss: 0.14662521675229073 - MAE: 0.2886886095421301 | |
| Validation loss : 0.14476492475060856 - MAE: 0.28795673596095495 | |
| Epoch: 7 | |
| Training loss: 0.14347930431365966 - MAE: 0.2869532495194668 | |
| Validation loss : 0.1444830390460351 - MAE: 0.2884910243549571 | |
| Epoch: 8 | |
| Training loss: 0.14114041782915593 - MAE: 0.2831716332297515 | |
| Validation loss : 0.14459675462806926 - MAE: 0.28917789765778673 | |
| Epoch: 9 | |
| Training loss: 0.1433439274132252 - MAE: 0.2865429012477346 | |
| Validation loss : 0.14251315286930868 - MAE: 0.2853422469518363 | |
| Epoch: 10 | |
| Training loss: 0.1406331904232502 - MAE: 0.28132702192119613 | |