home-standard-results / oversampled_True_unfrozen_nb-bert-base_256_5e-06_64.txt
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nb-bert-base, 5e-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: 0.6139226149428975 - MAE: 0.6256533578877125
Validation loss : 0.38856891581886693 - MAE: 0.5055659858766396
Epoch: 1
Training loss: 0.35679552988572555 - MAE: 0.47769355546848036
Validation loss : 0.2988674891622443 - MAE: 0.427160547565342
Epoch: 2
Training loss: 0.2514720949259671 - MAE: 0.3919834602387325
Validation loss : 0.20192746033794 - MAE: 0.35617145796178046
Epoch: 3
Training loss: 0.18519783670252019 - MAE: 0.34110099718701625
Validation loss : 0.16307617410233147 - MAE: 0.31849970460916255
Epoch: 4
Training loss: 0.15608852465044368 - MAE: 0.3137766481088091
Validation loss : 0.14197467973357752 - MAE: 0.29514997623851247
Epoch: 5
Training loss: 0.13567890524864196 - MAE: 0.29194648927171835
Validation loss : 0.12267970411401045 - MAE: 0.27265562083225603
Epoch: 6
Training loss: 0.11870894933288748 - MAE: 0.2718382958457312
Validation loss : 0.11097796692659981 - MAE: 0.25758373825453007
Epoch: 7
Training loss: 0.10573411136865615 - MAE: 0.25600807072103077
Validation loss : 0.1004621064976642 - MAE: 0.24238915549512713
Epoch: 8
Training loss: 0.095039548386227 - MAE: 0.24105853745370692
Validation loss : 0.08920641753234361 - MAE: 0.22744885245923066
Epoch: 9
Training loss: 0.08564553965221752 - MAE: 0.2290994268022599
Validation loss : 0.08278850426799372 - MAE: 0.21588505087327514
Epoch: 10
Training loss: 0.07813239084048705 - MAE: 0.21902914877383883
Validation loss : 0.07834271557236973 - MAE: 0.20735584144221048
Epoch: 11
Training loss: 0.07202434621073983 - MAE: 0.20906077481733826
Validation loss : 0.07437812458527715 - MAE: 0.20084316074607808
Epoch: 12
Training loss: 0.06499892032959244 - MAE: 0.19809261164608147
Validation loss : 0.07147281244397163 - MAE: 0.19576095041947425
Epoch: 13
Training loss: 0.05931831347671422 - MAE: 0.1885207176175341
Validation loss : 0.06822822988033295 - MAE: 0.18961870826028115
Epoch: 14
Training loss: 0.05735694515434178 - MAE: 0.1851404494180537
Validation loss : 0.07027043755117215 - MAE: 0.1932250628961616
Epoch: 15
Training loss: 0.05395592573014173 - MAE: 0.17943802032598533
Validation loss : 0.06585650106793955 - MAE: 0.18582157106086558
Epoch: 16
Training loss: 0.049961398745124994 - MAE: 0.1721245932478966
Validation loss : 0.06163646065090832 - MAE: 0.17768078284064118
Epoch: 17
Training loss: 0.04718107994307171 - MAE: 0.16805412913590112
Validation loss : 0.06143833324313164 - MAE: 0.17789370148437872
Epoch: 18
Training loss: 0.045104484327814796 - MAE: 0.16383606390764133
Validation loss : 0.05796664992445394 - MAE: 0.17127210564379006
Epoch: 19
Training loss: 0.043728585947643624 - MAE: 0.16044982622405332
Validation loss : 0.057646047520010096 - MAE: 0.17131737847137374