File size: 2,281 Bytes
91debdd 98bf694 098a3a7 7d364d9 7de12fe 94e731c 11ca7ec ab26d4b 168c6ee 09cf2e6 8b695f5 a49f76b e48af9a f520065 a01f89b dc39c2d 27e06ed 2b6291f 47538e3 e58652e a473844 15ffe81 77e0631 5a37c15 6f6abb9 125cd42 62a9067 05523d6 ed51ec3 41d68a1 f56a336 09fef35 d25394b b539e21 43ef9c0 ff0b7a0 |
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 30 31 32 33 34 35 36 37 |
Started at: 14:14:54
nb-bert-base, 1e-06, 256
({'_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: 1.3610501217842101 - MAE: 1.0817184245036757
Validation loss : 0.6300775276290046 - MAE: 0.6925418514553945
Epoch: 1
Training loss: 0.32747340738773345 - MAE: 0.4483029439383294
Validation loss : 0.24206096761756474 - MAE: 0.3825273214027049
Epoch: 2
Training loss: 0.22492031693458558 - MAE: 0.3634789782721722
Validation loss : 0.21290512879689535 - MAE: 0.3531350766820909
Epoch: 3
Training loss: 0.21074927151203154 - MAE: 0.34935127198342575
Validation loss : 0.19930076433552635 - MAE: 0.3423320980410668
Epoch: 4
Training loss: 0.1998182564973831 - MAE: 0.33952265508216506
Validation loss : 0.19053682684898376 - MAE: 0.33432257900743867
Epoch: 5
Training loss: 0.18897418558597565 - MAE: 0.3308955648791844
Validation loss : 0.183888531393475 - MAE: 0.32777869810289756
Epoch: 6
Training loss: 0.18244400441646577 - MAE: 0.3239016318289663
Validation loss : 0.17849575810962254 - MAE: 0.32227053870844763
Epoch: 7
Training loss: 0.17936479389667512 - MAE: 0.32048774343640357
Validation loss : 0.174004680580563 - MAE: 0.3172998359634526
Epoch: 8
Training loss: 0.17690573513507843 - MAE: 0.3179874754998065
Validation loss : 0.17019198503759173 - MAE: 0.3130601250011837
Epoch: 9
Training loss: 0.171479050219059 - MAE: 0.31243650862938
Validation loss : 0.16672976977295345 - MAE: 0.30925350280753894
Epoch: 10
Training loss: 0.16934633016586303 - MAE: 0.3105842075823956
Validation loss : 0.16365073952409956 - MAE: 0.3054956521646379
|