File size: 2,218 Bytes
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Started at: 09:20:17
nb-bert-base, 0.001, 512
({'_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: 0.6738183131584754 - MAE: 0.671559791949798
Validation loss : 0.3496964991092682 - MAE: 0.481417017739273
Epoch: 1
Training loss: 0.2604064620458163 - MAE: 0.3969383760031138
Validation loss : 0.22093867957592012 - MAE: 0.35313969813939866
Epoch: 2
Training loss: 0.20208562452059525 - MAE: 0.3434821083990275
Validation loss : 0.1883617550134659 - MAE: 0.3379014120649767
Epoch: 3
Training loss: 0.1782165696987739 - MAE: 0.31999390375888026
Validation loss : 0.16966865658760072 - MAE: 0.31801389648176803
Epoch: 4
Training loss: 0.16990482119413522 - MAE: 0.31338787739566665
Validation loss : 0.1638330489397049 - MAE: 0.3106934884794657
Epoch: 5
Training loss: 0.1681439051261315 - MAE: 0.31001855013012786
Validation loss : 0.16361375153064728 - MAE: 0.3107548141570412
Epoch: 6
Training loss: 0.16585055337502405 - MAE: 0.3068083279056544
Validation loss : 0.15926897823810576 - MAE: 0.30532344804199296
Epoch: 7
Training loss: 0.1640594372382531 - MAE: 0.30565590681538174
Validation loss : 0.15682196021080017 - MAE: 0.3021364879085161
Epoch: 8
Training loss: 0.15877233560268694 - MAE: 0.30019124717441487
Validation loss : 0.15556727051734925 - MAE: 0.3009043710813451
Epoch: 9
Training loss: 0.157441843014497 - MAE: 0.29782973353451203
Validation loss : 0.15489959716796875 - MAE: 0.3003483373637247
Epoch: 10
Training loss: 0.1569079951598094 - MAE: 0.29850384416372977
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