home-standard-results / frozen_norbert_128_0.001_128.txt
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norbert, 0.001, 128
({'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': 32922, '_commit_hash': '075d4e3705390691013e859faffc5696d071e33b'}, {})
Epoch: 0
Training loss: 0.34940282940864564 - MAE: 0.45046864085630683
Validation loss : 0.18274873582755818 - MAE: 0.3261804763692437
Epoch: 1
Training loss: 0.17366532385349273 - MAE: 0.3175050753369902
Validation loss : 0.17284800375209136 - MAE: 0.3152826512353921
Epoch: 2
Training loss: 0.16550228700041772 - MAE: 0.3102880187959522
Validation loss : 0.168134662158349 - MAE: 0.3101325107911304
Epoch: 3
Training loss: 0.1614217494428158 - MAE: 0.30638796285490894
Validation loss : 0.16555996852762558 - MAE: 0.3071440144715573
Epoch: 4
Training loss: 0.15815593004226686 - MAE: 0.3032428467393789
Validation loss : 0.16414058559081135 - MAE: 0.3062275889991122
Epoch: 5
Training loss: 0.15722389429807662 - MAE: 0.3026522091596125
Validation loss : 0.16364685226889217 - MAE: 0.30600367269172085
Epoch: 6
Training loss: 0.1544417916238308 - MAE: 0.29834141285366533
Validation loss : 0.16209946178338108 - MAE: 0.3044787129354469
Epoch: 7
Training loss: 0.15222523376345634 - MAE: 0.2959395709613162
Validation loss : 0.16139676991631002 - MAE: 0.30289165513286676
Epoch: 8
Training loss: 0.1495582267642021 - MAE: 0.29315735941725324
Validation loss : 0.15973140430801056 - MAE: 0.30022579676647987
Epoch: 9
Training loss: 0.15145889401435852 - MAE: 0.2952163697893332
Validation loss : 0.15879446618697224 - MAE: 0.2994991406614638
Epoch: 10
Training loss: 0.15025388434529305 - MAE: 0.2945344618888036
Validation loss : 0.15855726161423853 - MAE: 0.29908208933891134
Epoch: 11
Training loss: 0.14902475863695144 - MAE: 0.2924443122836678
Validation loss : 0.15826284534790935 - MAE: 0.2984638590546403
Epoch: 12
Training loss: 0.14780941233038902 - MAE: 0.2926466634183582
Validation loss : 0.15731259040972767 - MAE: 0.296935231079806
Epoch: 13
Training loss: 0.14797327995300294 - MAE: 0.2928364589090259
Validation loss : 0.15824999397291856 - MAE: 0.2989947235904544
Epoch: 14
Training loss: 0.14717394277453422 - MAE: 0.29110306221919585
Validation loss : 0.1570384524324361 - MAE: 0.2966094006540162
Epoch: 15