home-standard-results / oversampled_True_unfrozen_nb-bert-base_256_1e-06_64.txt
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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: 1.092776976932179 - MAE: 0.8645425344538012
Validation loss : 0.4951000182252181 - MAE: 0.572274909994364
Epoch: 1
Training loss: 0.46670577309348366 - MAE: 0.5563784497415616
Validation loss : 0.4297456882501903 - MAE: 0.5356601972217859
Epoch: 2
Training loss: 0.41889828118410977 - MAE: 0.525045431562138
Validation loss : 0.3921402771221964 - MAE: 0.5076430388808509
Epoch: 3
Training loss: 0.3852084549990567 - MAE: 0.5005902598129118
Validation loss : 0.3600435053047381 - MAE: 0.48094595382325084
Epoch: 4
Training loss: 0.3557265005328438 - MAE: 0.47516046300821996
Validation loss : 0.3300904662985551 - MAE: 0.4543344315763446
Epoch: 5
Training loss: 0.32380504553968253 - MAE: 0.4505385307513744
Validation loss : 0.2983320763236598 - MAE: 0.42765013343518166
Epoch: 6
Training loss: 0.28809667690233753 - MAE: 0.42027885166017076
Validation loss : 0.26857209833044754 - MAE: 0.40546811950280826
Epoch: 7
Training loss: 0.25561105717312205 - MAE: 0.39615992725595955
Validation loss : 0.24126421699398443 - MAE: 0.38565770486318046
Epoch: 8
Training loss: 0.2314618928865953 - MAE: 0.3768201412305367
Validation loss : 0.21927646822050997 - MAE: 0.3694444803689183
Epoch: 9
Training loss: 0.21511897146701814 - MAE: 0.36569012865859263
Validation loss : 0.20238082659871956 - MAE: 0.3555664235928941
Epoch: 10
Training loss: 0.2051593867215243 - MAE: 0.35810193384052685
Validation loss : 0.19398225843906403 - MAE: 0.34893567533912845
Epoch: 11
Training loss: 0.19388857131654566 - MAE: 0.3473342549946666
Validation loss : 0.1828562295750568 - MAE: 0.33859956823764054
Epoch: 12
Training loss: 0.1853411769325083 - MAE: 0.34101580628086486
Validation loss : 0.17696125021106318 - MAE: 0.33332969038413945
Epoch: 13
Training loss: 0.1767239600419998 - MAE: 0.3327219677297322
Validation loss : 0.1751155021943544 - MAE: 0.3320501546629549
Epoch: 14
Training loss: 0.17238954224369743 - MAE: 0.32886522984390626
Validation loss : 0.16809505067373576 - MAE: 0.32472863585480227
Epoch: 15
Training loss: 0.165952451933514 - MAE: 0.32179018639061147
Validation loss : 0.16329564154148102 - MAE: 0.3196082192223893
Epoch: 16
Training loss: 0.15928639661182056 - MAE: 0.31494447062413966
Validation loss : 0.15587428290592997 - MAE: 0.31126752622984316
Epoch: 17
Training loss: 0.15512887700037523 - MAE: 0.31102658839588426
Validation loss : 0.15351499852381253 - MAE: 0.3085270894412158
Epoch: 18
Training loss: 0.14973353215239266 - MAE: 0.30679117454393395
Validation loss : 0.14874956639189468 - MAE: 0.30347539809781815
Epoch: 19
Training loss: 0.14511168219826437 - MAE: 0.3010724245286936
Validation loss : 0.1440064028689736 - MAE: 0.2982334419015236
Prediction MAE: 0.2956
Finished at: 13:31:37
Time taken: 2561 s.
0 days 0 hours 42 minutes 41 seconds
Preds: [[1.0162791013717651], [1.9522250890731812], [1.766844630241394], [1.4142400026321411], [1.6147369146347046], [1.1528416872024536], [1.5604901313781738], [1.5626453161239624], [1.3779349327087402], [1.6769710779190063], [2.096186876296997], [2.0611636638641357], [1.9970786571502686], [0.1340179443359375], [1.105293869972229], [1.170549988746643], [0.855772078037262], [1.5243858098983765], [0.9434475302696228], [1.8092029094696045], [2.4013586044311523], [1.3606886863708496], [0.828027069568634], [1.1022577285766602], [0.6167730093002319], [2.3017232418060303], [1.114085078239441], [1.2163358926773071], [1.8707770109176636], [1.1721094846725464], [1.2934595346450806], [2.3151609897613525], [1.1516669988632202], [0.8827171325683594], [1.1999298334121704], [2.1493656635284424], [0.8600893616676331], [1.1696680784225464], [1.7249706983566284], [0.6690304279327393], [2.1009552478790283], [2.0332281589508057], [0.42432671785354614], [1.387490153312683], [2.1814558506011963], 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