File size: 2,122 Bytes
f70ccc1 2d57d9e 7188462 a609d62 c77d695 69ec210 332b33f b727d58 fa4296b a185361 b5777f7 ca35df2 0ed2f6f f6943dc efcc253 303208f a2ac259 61ae390 69592b6 0cad5a3 86fab43 f55c17b 0e0ee1f 000d668 e854b8b abbff94 c9fc9da 80ee2e9 1d673fa 9dd6fa4 5c19d70 5a65209 |
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 30 31 32 33 |
Started at: 14:40:58
({'_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: 0.39730866372585294 - MAE: 0.4859462215712381
Validation loss : 0.2196155587832133 - MAE: 0.358251958619135
Epoch: 1
Training loss: 0.17908839583396913 - MAE: 0.32397780285924654
Validation loss : 0.1558608834942182 - MAE: 0.30258585682891376
Epoch: 2
Training loss: 0.1575879180431366 - MAE: 0.29877002595895036
Validation loss : 0.14711609482765198 - MAE: 0.29037275250782246
Epoch: 3
Training loss: 0.15081047505140305 - MAE: 0.2927416915612918
Validation loss : 0.14418130036857393 - MAE: 0.2855868255353847
Epoch: 4
Training loss: 0.1486131688952446 - MAE: 0.2895620071780584
Validation loss : 0.1416353558500608 - MAE: 0.2827090052807201
Epoch: 5
Training loss: 0.1443140760064125 - MAE: 0.2864368585237521
Validation loss : 0.1415707692503929 - MAE: 0.2815798797681286
Epoch: 6
Training loss: 0.14458888828754424 - MAE: 0.2867332379237455
Validation loss : 0.13991272449493408 - MAE: 0.2813442573034388
Epoch: 7
Training loss: 0.1426651358604431 - MAE: 0.2830702813173875
Validation loss : 0.14005657616588804 - MAE: 0.28040410864338733
Epoch: 8
Training loss: 0.14226840168237687 - MAE: 0.2838351485433796
Validation loss : 0.14099578393830192 - MAE: 0.2833797767431743
Epoch: 9
Training loss: 0.14148026525974275 - MAE: 0.2832427237151646
Validation loss : 0.14043273280064264 - MAE: 0.28271952708757264
|