File size: 1,536 Bytes
04041f3 775d015 d728db5 69e03bc aeb4e28 422dfc1 841c572 1932611 37ae5ec e51892c 8a7bbac b4aa2dc 6602afc 2b1f3fd f8ecab4 89f775d 50aeba9 67fbe74 de354cf 67a8833 3d2170d 1d1dce2 bf8875e f8da318 02382d3 adb7473 c52c670 7352158 |
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 |
Started at: 12:29:55
norbert, 5e-06, 256
({'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: 0.5341290700435638 - MAE: 0.5775812031776163
Validation loss : 0.20913811690277523 - MAE: 0.3559517687797103
Epoch: 1
Training loss: 0.1925646984577179 - MAE: 0.33014900555771165
Validation loss : 0.19771589504347908 - MAE: 0.3469693647155534
Epoch: 2
Training loss: 0.17236647367477417 - MAE: 0.31412950202784257
Validation loss : 0.17734277910656399 - MAE: 0.3241412162028599
Epoch: 3
Training loss: 0.16684930324554442 - MAE: 0.3089053937204404
Validation loss : 0.17018018000655705 - MAE: 0.31540523144474286
Epoch: 4
Training loss: 0.16185393035411835 - MAE: 0.3031887793935882
Validation loss : 0.165420510702663 - MAE: 0.3100710188975959
Epoch: 5
Training loss: 0.15806202471256256 - MAE: 0.2991245015294829
Validation loss : 0.1620023101568222 - MAE: 0.306085451961568
Epoch: 6
Training loss: 0.15362942457199097 - MAE: 0.2950021398631103
Validation loss : 0.15738655461205375 - MAE: 0.3000887467317537
Epoch: 7
Training loss: 0.14957553803920745 - MAE: 0.29097460632433925
Validation loss : 0.15389461153083378 - MAE: 0.29523900467803926
Epoch: 8
|