File size: 3,068 Bytes
0292aec 2971ef0 2593aca 102eb3a 354d201 ffc7072 0eb949f 92ef2a4 ee5ab8c beca0d6 8ba5556 c8f58b8 174ce95 5b89728 73c501e ef1dd38 d5013d1 a135643 a121f85 7cb752a d5b5d84 9ec22ba 864e68b bcec72d 1969dbb 8cd73d3 212c5de 0bbbbd5 8a7ed8b b6bf7ae 848b5ec 2c7cbb6 6ca1e82 af8694a ca62c84 e05379d 0d22bc9 5140fd8 91c431c b180168 953253d d736cec 97df9a6 b95567b aaecb39 1333621 1ea4569 37b68e8 2237eba c45c5d2 0080abe de9a60b 283583d |
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 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 |
Started at: 11:40:26 ({'_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: 0.4581766623258591 - MAE: 0.5292641480208709 Validation loss : 0.22879805664221445 - MAE: 0.3594399771230401 Epoch: 1 Training loss: 0.19436429917812348 - MAE: 0.3385698724059062 Validation loss : 0.17431378530131447 - MAE: 0.3219149815721847 Epoch: 2 Training loss: 0.17444411993026734 - MAE: 0.31684918185002736 Validation loss : 0.16497086816363865 - MAE: 0.31185002325092886 Epoch: 3 Training loss: 0.1655295819044113 - MAE: 0.3086558034500663 Validation loss : 0.15977457662423453 - MAE: 0.3062515869775394 Epoch: 4 Training loss: 0.16229379653930665 - MAE: 0.3037281934486638 Validation loss : 0.15585461341672474 - MAE: 0.3013561711510056 Epoch: 5 Training loss: 0.15735343039035798 - MAE: 0.299567204911211 Validation loss : 0.1539518212278684 - MAE: 0.2993376751781608 Epoch: 6 Training loss: 0.15725925147533418 - MAE: 0.2996774680828566 Validation loss : 0.15224697606431115 - MAE: 0.2976658126019026 Epoch: 7 Training loss: 0.15550604462623596 - MAE: 0.2963955747939702 Validation loss : 0.15032305154535505 - MAE: 0.29504313159460227 Epoch: 8 Training loss: 0.1532408055663109 - MAE: 0.2955262865803256 Validation loss : 0.1494835408197509 - MAE: 0.2939865938164665 Epoch: 9 Training loss: 0.15284976929426194 - MAE: 0.2941793210474116 Validation loss : 0.1482765343454149 - MAE: 0.2924292223271092 Epoch: 10 Training loss: 0.15122360587120057 - MAE: 0.29247309200113303 Validation loss : 0.14710667315456602 - MAE: 0.2907982624220039 Epoch: 11 Training loss: 0.14901623457670213 - MAE: 0.290842407098567 Validation loss : 0.14528998070293003 - MAE: 0.28806596351171554 Epoch: 12 Training loss: 0.15042486935853958 - MAE: 0.29147855511346055 Validation loss : 0.14535025589995915 - MAE: 0.2886085535457345 Epoch: 13 Training loss: 0.1494656953215599 - MAE: 0.2891299573328347 Validation loss : 0.14426815013090769 - MAE: 0.2873694180544381 Epoch: 14 Training loss: 0.1479952174425125 - MAE: 0.28811694403834054 Validation loss : 0.14319962759812674 - MAE: 0.28503047862306335 Epoch: 15 Training loss: 0.14743517249822616 - MAE: 0.2894441080912908 Validation loss : 0.1425529478324784 - MAE: 0.28427138674014546 Epoch: 16 Training loss: 0.1472056606411934 - MAE: 0.28826150001116063 Validation loss : 0.14231768581602308 - MAE: 0.2836957414049199 |