| Started at: 10:02:30 | |
| 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: 0.33461407989263536 - MAE: 0.4395451926176116 | |
| Validation loss : 0.17470807801274693 - MAE: 0.316590567311014 | |
| Epoch: 1 | |
| Training loss: 0.167546104490757 - MAE: 0.3104947695666053 | |
| Validation loss : 0.1605402261895292 - MAE: 0.3041267300080164 | |
| Epoch: 2 | |
| Training loss: 0.15953998982906342 - MAE: 0.30230224392344485 | |
| Validation loss : 0.156581671360661 - MAE: 0.3003702843252824 | |
| Epoch: 3 | |
| Training loss: 0.15586254999041557 - MAE: 0.2976227208408245 | |
| Validation loss : 0.15435482824549956 - MAE: 0.29782302866508426 | |
| Epoch: 4 | |
| Training loss: 0.153594990670681 - MAE: 0.2951023367494838 | |
| Validation loss : 0.15327392255558686 - MAE: 0.29758807291884654 | |
| Epoch: 5 | |
| Training loss: 0.1521633943915367 - MAE: 0.293013468516263 | |
| Validation loss : 0.1528188367100323 - MAE: 0.29786525073805276 | |
| Epoch: 6 | |
| Training loss: 0.15114636063575745 - MAE: 0.29207026473332626 | |
| Validation loss : 0.1511023048968876 - MAE: 0.2940484620567765 | |
| Epoch: 7 | |
| Training loss: 0.14836823791265488 - MAE: 0.289356569209421 | |
| Validation loss : 0.15079707608503454 - MAE: 0.2948241208277115 | |
| Epoch: 8 | |
| Training loss: 0.14847442269325256 - MAE: 0.2894169052100116 | |
| Validation loss : 0.15011538915774403 - MAE: 0.2942575668480824 | |
| Epoch: 9 | |
| Training loss: 0.1463117568194866 - MAE: 0.2868930664850179 | |