File size: 4,833 Bytes
45dcbce bcdf6e5 d41ee57 cd44060 403a17f e66ae0f df0717b fe09190 b748117 5cd17a9 14bef3e 27fedd6 8cba533 f7e2668 df22987 5596678 3e0d44f a132e2e 300d2d3 3d4e48f 0303da1 0e9d41e bf99401 63edb27 d1343d7 713ed25 120e232 39a5abc 54ae285 3f7e270 be28ecc 3fa88f2 07b596c b290acc 2a1db6c 61f6a2d 037bf85 deb66e5 8cf9cba abfbeae 7df8448 57ca92a 357bb31 83ffacf 67f0c27 d91948b fd30360 08f6ec2 7cda4ff 194731f 863d5c1 787743c 4e662d3 4ab8e5a 1c71ae5 7f22bf3 f22223c 7b871b7 56a134b aeb0b8b 9e6ab90 e020c55 e9faa0c 2f710a9 241f4b3 7f00886 77ca3a6 6fe6570 0931d40 9ffb586 2fe8ed8 0e09efe 7f1d4ec 4b5b285 1721133 7bbb630 530232e 638476c 25050e2 2ec82a1 699b1dc d2fd3b0 d3975ed b688309 |
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 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 |
Started at: 14:40:19
({'_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: 1.2811461687088013 - MAE: 1.0408094668466794
Validation loss : 1.3419398069381714 - MAE: 1.0652254769721856
Epoch: 1
Training loss: 0.7854926586151123 - MAE: 0.7721470455473632
Validation loss : 0.8864973783493042 - MAE: 0.8435096881137445
Epoch: 2
Training loss: 0.4843243956565857 - MAE: 0.5272605160349294
Validation loss : 0.5820499062538147 - MAE: 0.6337268329583682
Epoch: 3
Training loss: 0.41485145688056946 - MAE: 0.4802625859156251
Validation loss : 0.421680212020874 - MAE: 0.4904769934140719
Epoch: 4
Training loss: 0.48013365268707275 - MAE: 0.5623592561797092
Validation loss : 0.35784491896629333 - MAE: 0.4395319429727701
Epoch: 5
Training loss: 0.5700742602348328 - MAE: 0.62281050650697
Validation loss : 0.3381924331188202 - MAE: 0.4468093950014848
Epoch: 6
Training loss: 0.5534572601318359 - MAE: 0.6398394494072387
Validation loss : 0.3276384174823761 - MAE: 0.4481881180634865
Epoch: 7
Training loss: 0.5136637687683105 - MAE: 0.6030835897514695
Validation loss : 0.3143889605998993 - MAE: 0.4345858062689121
Epoch: 8
Training loss: 0.4339531362056732 - MAE: 0.5305713756304038
Validation loss : 0.30018025636672974 - MAE: 0.41813509395489323
Epoch: 9
Training loss: 0.3681242763996124 - MAE: 0.4937124432701814
Validation loss : 0.28909191489219666 - MAE: 0.4049994842364238
Epoch: 10
Training loss: 0.28562891483306885 - MAE: 0.4289360728703047
Validation loss : 0.2845577895641327 - MAE: 0.39556940358418685
Epoch: 11
Training loss: 0.22621430456638336 - MAE: 0.3758177969016527
Validation loss : 0.28580838441848755 - MAE: 0.3986670867754863
Epoch: 12
Training loss: 0.23422713577747345 - MAE: 0.38526535191034017
Validation loss : 0.28847622871398926 - MAE: 0.40267336712433743
Epoch: 13
Training loss: 0.22982938587665558 - MAE: 0.35741449578812245
Validation loss : 0.28796255588531494 - MAE: 0.4020649595902516
Epoch: 14
Training loss: 0.23996150493621826 - MAE: 0.39404939899319097
Validation loss : 0.2812049388885498 - MAE: 0.39587824505109054
Epoch: 15
Training loss: 0.24414275586605072 - MAE: 0.379991781554724
Validation loss : 0.2680702209472656 - MAE: 0.383818744466855
Epoch: 16
Training loss: 0.27029654383659363 - MAE: 0.40085393817801224
Validation loss : 0.25258928537368774 - MAE: 0.3699319534576856
Epoch: 17
Training loss: 0.2352345883846283 - MAE: 0.38863703373231384
Validation loss : 0.2415340095758438 - MAE: 0.36523089844446915
Epoch: 18
Training loss: 0.2158002406358719 - MAE: 0.3658958297026785
Validation loss : 0.24027621746063232 - MAE: 0.3705826917519936
Epoch: 19
Training loss: 0.21208268404006958 - MAE: 0.3704100282568681
Validation loss : 0.25164109468460083 - MAE: 0.3871169606080422
Epoch: 20
Training loss: 0.17722702026367188 - MAE: 0.336929022481567
Validation loss : 0.2746301591396332 - MAE: 0.4080349631034411
Epoch: 21
Training loss: 0.18777716159820557 - MAE: 0.3379772783894288
Validation loss : 0.3049810528755188 - MAE: 0.4352820710493968
Epoch: 22
Training loss: 0.1848054677248001 - MAE: 0.34332956295264394
Validation loss : 0.33610042929649353 - MAE: 0.4637320970113461
Epoch: 23
Training loss: 0.21688483655452728 - MAE: 0.36749590462759923
Validation loss : 0.36015841364860535 - MAE: 0.48392002972272724
Epoch: 24
Training loss: 0.20183156430721283 - MAE: 0.3708644023067073
Validation loss : 0.3709980249404907 - MAE: 0.4937438930456455
Stopped after 24 epochs.
Prediction MAE: 0.5076
Finished at: 14:40:19
Time taken: 439 s.
0 days 0 hours 7 minutes 19 seconds
Preds: [[1.7191309928894043], [1.5839954614639282], [2.140916109085083], [1.953258991241455], [1.2630029916763306], [1.698407769203186], [2.032844066619873], [1.9215919971466064], [1.5724438428878784], [1.770376443862915], [1.4258428812026978], [1.603246808052063], [1.8202743530273438], [1.728237509727478], [1.8194266557693481], [1.4585202932357788], [1.8963333368301392], [1.3206255435943604], [1.72213613986969], [2.1634888648986816], [1.9761544466018677], [1.5723778009414673], [1.939049482345581], [1.7006534337997437], [1.5518667697906494], [1.8859261274337769]]
|