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Upload checkpoints/train_logs.txt with huggingface_hub

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  1. checkpoints/train_logs.txt +20 -80
checkpoints/train_logs.txt CHANGED
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- epoch:0 | train loss: 2.488488 | val_loss:0.673000
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- epoch:1 | train loss: 0.562669 | val_loss:0.471757
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- epoch:2 | train loss: 0.426671 | val_loss:0.389693
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- epoch:3 | train loss: 0.393032 | val_loss:0.387741
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- epoch:4 | train loss: 0.384743 | val_loss:0.389496
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- epoch:5 | train loss: 0.383109 | val_loss:0.384204
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- epoch:6 | train loss: 0.372450 | val_loss:0.401784
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- epoch:7 | train loss: 0.374903 | val_loss:0.381014
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- epoch:8 | train loss: 0.369852 | val_loss:0.353790
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- epoch:9 | train loss: 0.369738 | val_loss:0.346133
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- epoch:10 | train loss: 0.368340 | val_loss:0.346144
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- epoch:11 | train loss: 0.368726 | val_loss:0.384480
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- epoch:12 | train loss: 0.361943 | val_loss:0.354854
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- epoch:13 | train loss: 0.355516 | val_loss:0.355703
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- epoch:14 | train loss: 0.355792 | val_loss:0.361314
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- epoch:15 | train loss: 0.358746 | val_loss:0.348872
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- epoch:16 | train loss: 0.351417 | val_loss:0.364919
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- epoch:17 | train loss: 0.344650 | val_loss:0.378364
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- epoch:18 | train loss: 0.350553 | val_loss:0.378952
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- epoch:19 | train loss: 0.346499 | val_loss:0.351281
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- epoch:20 | train loss: 0.343086 | val_loss:0.339160
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- epoch:21 | train loss: 0.353715 | val_loss:0.313373
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- epoch:22 | train loss: 0.346464 | val_loss:0.349604
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- epoch:23 | train loss: 0.346148 | val_loss:0.338928
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- epoch:24 | train loss: 0.343711 | val_loss:0.358593
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- epoch:25 | train loss: 0.344212 | val_loss:0.344940
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- epoch:26 | train loss: 0.336860 | val_loss:0.323936
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- epoch:27 | train loss: 0.342427 | val_loss:0.350062
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- epoch:28 | train loss: 0.342525 | val_loss:0.318503
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- epoch:29 | train loss: 0.343273 | val_loss:0.353699
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- epoch:30 | train loss: 0.335665 | val_loss:0.351245
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- epoch:31 | train loss: 0.333117 | val_loss:0.337402
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- epoch:32 | train loss: 0.341981 | val_loss:0.338283
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- epoch:33 | train loss: 0.332584 | val_loss:0.322904
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- epoch:34 | train loss: 0.344967 | val_loss:0.337000
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- epoch:35 | train loss: 0.335911 | val_loss:0.339282
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- epoch:36 | train loss: 0.336757 | val_loss:0.346806
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- epoch:37 | train loss: 0.335283 | val_loss:0.336629
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- epoch:38 | train loss: 0.341270 | val_loss:0.347422
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- epoch:39 | train loss: 0.331153 | val_loss:0.317502
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- epoch:40 | train loss: 0.335883 | val_loss:0.327056
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- epoch:41 | train loss: 0.336514 | val_loss:0.327075
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- epoch:42 | train loss: 0.333111 | val_loss:0.335423
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- epoch:43 | train loss: 0.329750 | val_loss:0.323630
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- epoch:44 | train loss: 0.328020 | val_loss:0.341802
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- epoch:45 | train loss: 0.336057 | val_loss:0.352105
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- epoch:46 | train loss: 0.333871 | val_loss:0.332672
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- epoch:47 | train loss: 0.328025 | val_loss:0.320695
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- epoch:48 | train loss: 0.328654 | val_loss:0.331762
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- epoch:49 | train loss: 0.333991 | val_loss:0.300728
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- epoch:50 | train loss: 0.328299 | val_loss:0.341610
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- epoch:51 | train loss: 0.326566 | val_loss:0.328439
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- epoch:52 | train loss: 0.323551 | val_loss:0.331395
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- epoch:53 | train loss: 0.326660 | val_loss:0.357509
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- epoch:54 | train loss: 0.326364 | val_loss:0.348237
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- epoch:55 | train loss: 0.325146 | val_loss:0.352877
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- epoch:56 | train loss: 0.326764 | val_loss:0.319848
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- epoch:57 | train loss: 0.330026 | val_loss:0.330971
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- epoch:58 | train loss: 0.324813 | val_loss:0.313570
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- epoch:59 | train loss: 0.326677 | val_loss:0.291725
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- epoch:60 | train loss: 0.331478 | val_loss:0.337928
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- epoch:61 | train loss: 0.318888 | val_loss:0.340632
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- epoch:62 | train loss: 0.323466 | val_loss:0.329508
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- epoch:63 | train loss: 0.327050 | val_loss:0.317438
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- epoch:64 | train loss: 0.331010 | val_loss:0.322188
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- epoch:65 | train loss: 0.319511 | val_loss:0.323175
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- epoch:66 | train loss: 0.327105 | val_loss:0.353646
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- epoch:67 | train loss: 0.318625 | val_loss:0.317440
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- epoch:68 | train loss: 0.324964 | val_loss:0.334219
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- epoch:69 | train loss: 0.325614 | val_loss:0.337909
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- epoch:70 | train loss: 0.320022 | val_loss:0.317496
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- epoch:71 | train loss: 0.324041 | val_loss:0.285073
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- epoch:72 | train loss: 0.323589 | val_loss:0.312426
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- epoch:73 | train loss: 0.314499 | val_loss:0.339005
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- epoch:74 | train loss: 0.320577 | val_loss:0.315502
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- epoch:75 | train loss: 0.322160 | val_loss:0.328063
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- epoch:76 | train loss: 0.320567 | val_loss:0.332127
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- epoch:77 | train loss: 0.323989 | val_loss:0.325119
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- epoch:78 | train loss: 0.317423 | val_loss:0.343041
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- epoch:79 | train loss: 0.324545 | val_loss:0.314887
 
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+ epoch:0 | train loss: 1.073054 | val_loss:0.448881
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+ epoch:1 | train loss: 0.392142 | val_loss:0.399242
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+ epoch:2 | train loss: 0.371812 | val_loss:0.393474
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+ epoch:3 | train loss: 0.364254 | val_loss:0.362560
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+ epoch:4 | train loss: 0.352752 | val_loss:0.360939
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+ epoch:5 | train loss: 0.344565 | val_loss:0.354360
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+ epoch:6 | train loss: 0.350875 | val_loss:0.361243
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+ epoch:7 | train loss: 0.352274 | val_loss:0.371514
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+ epoch:8 | train loss: 0.344127 | val_loss:0.358672
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+ epoch:9 | train loss: 0.349167 | val_loss:0.367300
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+ epoch:10 | train loss: 0.352776 | val_loss:0.352947
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+ epoch:11 | train loss: 0.335472 | val_loss:0.331375
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+ epoch:12 | train loss: 0.343942 | val_loss:0.334605
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+ epoch:13 | train loss: 0.343223 | val_loss:0.339721
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+ epoch:14 | train loss: 0.349869 | val_loss:0.343825
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+ epoch:15 | train loss: 0.340668 | val_loss:0.368064
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+ epoch:16 | train loss: 0.340238 | val_loss:0.333418
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+ epoch:17 | train loss: 0.337068 | val_loss:0.351729
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+ epoch:18 | train loss: 0.335290 | val_loss:0.344091
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+ epoch:19 | train loss: 0.334789 | val_loss:0.341503