Delete oversampled_frozen_norbert2_256_0.0001_64.txt

oversampled_frozen_norbert2_256_0.0001_64.txt

@@ -1,61 +0,0 @@
-Started at: 15:48:18
-norbert2, 0.0001, 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': 50104, '_commit_hash': 'f22bb47f536f62edfcd86ca9320ade990eafbe22'}, {})
-Epoch: 0
-Training loss: 0.6048455547202717 - MAE: 0.6266300187442916
-Validation loss : 0.4582846462726593 - MAE: 0.5477823136637207
-Epoch: 1
-Training loss: 0.4581279342824763 - MAE: 0.5446929326843661
-Validation loss : 0.43447837076689066 - MAE: 0.5302158168090491
-Epoch: 2
-Training loss: 0.439133803952824 - MAE: 0.5313758711028191
-Validation loss : 0.4172007551318721 - MAE: 0.5173525707183267
-Epoch: 3
-Training loss: 0.4256406155499545 - MAE: 0.5213601684170421
-Validation loss : 0.4036315475639544 - MAE: 0.5072787234745049
-Epoch: 4
-Training loss: 0.4128780511292544 - MAE: 0.5122914042413262
-Validation loss : 0.39381301246191325 - MAE: 0.4998854366792771
-Epoch: 5
-Training loss: 0.403443688696081 - MAE: 0.5064829263635311
-Validation loss : 0.3850055195783314 - MAE: 0.49343864394198494
-Epoch: 6
-Training loss: 0.3943689080801877 - MAE: 0.4988654481063448
-Validation loss : 0.3792250125031722 - MAE: 0.48865697242123873
-Epoch: 7
-Training loss: 0.39008136066523463 - MAE: 0.4961428843061405
-Validation loss : 0.37279942788575826 - MAE: 0.48401661704906546
-Epoch: 8
-Training loss: 0.381467575376684 - MAE: 0.4899541087772683
-Validation loss : 0.3682594236574675 - MAE: 0.48040131545362147
-Epoch: 9
-Training loss: 0.3751734440976923 - MAE: 0.48501710497031664
-Validation loss : 0.3617483942132247 - MAE: 0.4762219395614589
-Epoch: 10
-Started at: 17:35:48
-norbert2, 0.0001, 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': 50104, '_commit_hash': 'f22bb47f536f62edfcd86ca9320ade990eafbe22'}, {})
-Started at: 17:37:00
-norbert2, 0.0001, 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': 50104, '_commit_hash': 'f22bb47f536f62edfcd86ca9320ade990eafbe22'}, {})
-Started at: 17:37:31
-norbert2, 0.0001, 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': 50104, '_commit_hash': 'f22bb47f536f62edfcd86ca9320ade990eafbe22'}, {})
-Training loss: 0.3698521521958438 - MAE: 0.4828537843610755
-Validation loss : 0.35875062879763153 - MAE: 0.47371693001384463
-Epoch: 11
-Started at: 17:38:51
-norbert2, 0.0001, 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': 50104, '_commit_hash': 'f22bb47f536f62edfcd86ca9320ade990eafbe22'}, {})
-Started at: 17:40:23
-norbert2, 0.0001, 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': 50104, '_commit_hash': 'f22bb47f536f62edfcd86ca9320ade990eafbe22'}, {})
-Started at: 17:41:33
-norbert2, 0.0001, 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': 50104, '_commit_hash': 'f22bb47f536f62edfcd86ca9320ade990eafbe22'}, {})
-Started at: 00:24:31
-norbert2, 0.0001, 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': 50104, '_commit_hash': 'f22bb47f536f62edfcd86ca9320ade990eafbe22'}, {})
-Started at: 00:50:10
-norbert2, 0.0001, 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': 50104, '_commit_hash': 'f22bb47f536f62edfcd86ca9320ade990eafbe22'}, {})