run_20240702210535
This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3214
- Precision: 0.6028
- Recall: 0.6325
- F1: 0.6173
- Number: 237046
- Ageno Precision: 0.8230
- Ageno Recall: 0.8335
- Ageno F1: 0.8282
- Ageno Number: 8131
- Ank Account/bic Precision: 0.9559
- Ank Account/bic Recall: 0.9753
- Ank Account/bic F1: 0.9655
- Ank Account/bic Number: 50290
- Ank Account/iban Precision: 0.8894
- Ank Account/iban Recall: 0.9289
- Ank Account/iban F1: 0.9087
- Ank Account/iban Number: 84619
- Ank Account/bankinfo Precision: 0.7777
- Ank Account/bankinfo Recall: 0.8063
- Ank Account/bankinfo F1: 0.7917
- Ank Account/bankinfo Number: 36138
- Ank Account/currencycode Precision: 0.7507
- Ank Account/currencycode Recall: 0.3748
- Ank Account/currencycode F1: 0.5
- Ank Account/currencycode Number: 1374
- Ardnumber Precision: 0.3289
- Ardnumber Recall: 0.3175
- Ardnumber F1: 0.3231
- Ardnumber Number: 929
- Ardtype Precision: 0.5436
- Ardtype Recall: 0.5444
- Ardtype F1: 0.5440
- Ardtype Number: 3821
- Axamount Precision: 0.7977
- Axamount Recall: 0.7972
- Axamount F1: 0.7975
- Axamount Number: 5302
- Eservationnumber Precision: 0.4791
- Eservationnumber Recall: 0.5078
- Eservationnumber F1: 0.4930
- Eservationnumber Number: 2568
- Etamount Precision: 0.7795
- Etamount Recall: 0.7792
- Etamount F1: 0.7794
- Etamount Number: 6299
- Heckin Precision: 0.9099
- Heckin Recall: 0.9260
- Heckin F1: 0.9179
- Heckin Number: 17115
- Heckout Precision: 0.9203
- Heckout Recall: 0.9320
- Heckout F1: 0.9261
- Heckout Number: 17016
- Nvoicedate Precision: 0.9084
- Nvoicedate Recall: 0.9204
- Nvoicedate F1: 0.9144
- Nvoicedate Number: 14899
- Nvoicenumber Precision: 0.8595
- Nvoicenumber Recall: 0.8827
- Nvoicenumber F1: 0.8710
- Nvoicenumber Number: 14479
- Ocumenttype Precision: 0.7821
- Ocumenttype Recall: 0.8193
- Ocumenttype F1: 0.8003
- Ocumenttype Number: 13966
- Ompanyaddress Precision: 0.7657
- Ompanyaddress Recall: 0.7917
- Ompanyaddress F1: 0.7785
- Ompanyaddress Number: 15201
- Ompanycity Precision: 0.8504
- Ompanycity Recall: 0.8760
- Ompanycity F1: 0.8630
- Ompanycity Number: 14804
- Ompanycountry Precision: 0.8759
- Ompanycountry Recall: 0.8851
- Ompanycountry F1: 0.8805
- Ompanycountry Number: 9011
- Ompanyname Precision: 0.6986
- Ompanyname Recall: 0.7240
- Ompanyname F1: 0.7111
- Ompanyname Number: 15233
- Ompanyvatnumber Precision: 0.6079
- Ompanyvatnumber Recall: 0.6684
- Ompanyvatnumber F1: 0.6367
- Ompanyvatnumber Number: 3474
- Ompanyzipcode Precision: 0.9190
- Ompanyzipcode Recall: 0.9434
- Ompanyzipcode F1: 0.9310
- Ompanyzipcode Number: 14770
- Ookingnumber Precision: 0.4084
- Ookingnumber Recall: 0.3214
- Ookingnumber F1: 0.3597
- Ookingnumber Number: 2156
- Oomno Precision: 0.8351
- Oomno Recall: 0.8537
- Oomno F1: 0.8443
- Oomno Number: 17347
- Oteladdress Precision: 0.4710
- Oteladdress Recall: 0.5188
- Oteladdress F1: 0.4937
- Oteladdress Number: 14199
- Otelbankaccount Precision: 0.0
- Otelbankaccount Recall: 0.0
- Otelbankaccount F1: 0.0
- Otelbankaccount Number: 73
- Otelcity Precision: 0.6779
- Otelcity Recall: 0.7343
- Otelcity F1: 0.7050
- Otelcity Number: 13694
- Otelcountry Precision: 0.7598
- Otelcountry Recall: 0.7686
- Otelcountry F1: 0.7642
- Otelcountry Number: 3358
- Otelemail Precision: 0.8933
- Otelemail Recall: 0.9382
- Otelemail F1: 0.9152
- Otelemail Number: 10425
- Otelfaxnumber Precision: 0.8234
- Otelfaxnumber Recall: 0.8668
- Otelfaxnumber F1: 0.8446
- Otelfaxnumber Number: 7689
- Otelname Precision: 0.3599
- Otelname Recall: 0.3987
- Otelname F1: 0.3783
- Otelname Number: 14855
- Otelphonenumber Precision: 0.8023
- Otelphonenumber Recall: 0.8373
- Otelphonenumber F1: 0.8194
- Otelphonenumber Number: 11808
- Oteltaxcode Precision: 0.4169
- Oteltaxcode Recall: 0.4602
- Oteltaxcode F1: 0.4375
- Oteltaxcode Number: 2338
- Otelvatnumber Precision: 0.6870
- Otelvatnumber Recall: 0.7394
- Otelvatnumber F1: 0.7122
- Otelvatnumber Number: 9094
- Otelzipcode Precision: 0.7230
- Otelzipcode Recall: 0.7776
- Otelzipcode F1: 0.7493
- Otelzipcode Number: 13620
- Rafficdate Precision: 0.0
- Rafficdate Recall: 0.0
- Rafficdate F1: 0.0
- Rafficdate Number: 106
- Ravellername Precision: 0.5621
- Ravellername Recall: 0.5663
- Ravellername F1: 0.5642
- Ravellername Number: 17893
- Rewtype Precision: 0.0
- Rewtype Recall: 0.0
- Rewtype F1: 0.0
- Rewtype Number: 56
- Rossamount Precision: 0.7012
- Rossamount Recall: 0.7258
- Rossamount F1: 0.7133
- Rossamount Number: 12491
- Rrivaltrainno Precision: 0.1818
- Rrivaltrainno Recall: 0.0494
- Rrivaltrainno F1: 0.0777
- Rrivaltrainno Number: 81
- Urrencycode Precision: 0.5212
- Urrencycode Recall: 0.5927
- Urrencycode F1: 0.5547
- Urrencycode Number: 8510
- Xternalreservationnumber Precision: 0.3103
- Xternalreservationnumber Recall: 0.3205
- Xternalreservationnumber F1: 0.3153
- Xternalreservationnumber Number: 546
- Overall Precision: 0.7298
- Overall Recall: 0.7596
- Overall F1: 0.7444
- Overall Accuracy: 0.9298
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Number | Ageno Precision | Ageno Recall | Ageno F1 | Ageno Number | Ank Account/bic Precision | Ank Account/bic Recall | Ank Account/bic F1 | Ank Account/bic Number | Ank Account/iban Precision | Ank Account/iban Recall | Ank Account/iban F1 | Ank Account/iban Number | Ank Account/bankinfo Precision | Ank Account/bankinfo Recall | Ank Account/bankinfo F1 | Ank Account/bankinfo Number | Ank Account/currencycode Precision | Ank Account/currencycode Recall | Ank Account/currencycode F1 | Ank Account/currencycode Number | Ardnumber Precision | Ardnumber Recall | Ardnumber F1 | Ardnumber Number | Ardtype Precision | Ardtype Recall | Ardtype F1 | Ardtype Number | Axamount Precision | Axamount Recall | Axamount F1 | Axamount Number | Eservationnumber Precision | Eservationnumber Recall | Eservationnumber F1 | Eservationnumber Number | Etamount Precision | Etamount Recall | Etamount F1 | Etamount Number | Heckin Precision | Heckin Recall | Heckin F1 | Heckin Number | Heckout Precision | Heckout Recall | Heckout F1 | Heckout Number | Nvoicedate Precision | Nvoicedate Recall | Nvoicedate F1 | Nvoicedate Number | Nvoicenumber Precision | Nvoicenumber Recall | Nvoicenumber F1 | Nvoicenumber Number | Ocumenttype Precision | Ocumenttype Recall | Ocumenttype F1 | Ocumenttype Number | Ompanyaddress Precision | Ompanyaddress Recall | Ompanyaddress F1 | Ompanyaddress Number | Ompanycity Precision | Ompanycity Recall | Ompanycity F1 | Ompanycity Number | Ompanycountry Precision | Ompanycountry Recall | Ompanycountry F1 | Ompanycountry Number | Ompanyname Precision | Ompanyname Recall | Ompanyname F1 | Ompanyname Number | Ompanyvatnumber Precision | Ompanyvatnumber Recall | Ompanyvatnumber F1 | Ompanyvatnumber Number | Ompanyzipcode Precision | Ompanyzipcode Recall | Ompanyzipcode F1 | Ompanyzipcode Number | Ookingnumber Precision | Ookingnumber Recall | Ookingnumber F1 | Ookingnumber Number | Oomno Precision | Oomno Recall | Oomno F1 | Oomno Number | Oteladdress Precision | Oteladdress Recall | Oteladdress F1 | Oteladdress Number | Otelbankaccount Precision | Otelbankaccount Recall | Otelbankaccount F1 | Otelbankaccount Number | Otelcity Precision | Otelcity Recall | Otelcity F1 | Otelcity Number | Otelcountry Precision | Otelcountry Recall | Otelcountry F1 | Otelcountry Number | Otelemail Precision | Otelemail Recall | Otelemail F1 | Otelemail Number | Otelfaxnumber Precision | Otelfaxnumber Recall | Otelfaxnumber F1 | Otelfaxnumber Number | Otelname Precision | Otelname Recall | Otelname F1 | Otelname Number | Otelphonenumber Precision | Otelphonenumber Recall | Otelphonenumber F1 | Otelphonenumber Number | Oteltaxcode Precision | Oteltaxcode Recall | Oteltaxcode F1 | Oteltaxcode Number | Otelvatnumber Precision | Otelvatnumber Recall | Otelvatnumber F1 | Otelvatnumber Number | Otelzipcode Precision | Otelzipcode Recall | Otelzipcode F1 | Otelzipcode Number | Rafficdate Precision | Rafficdate Recall | Rafficdate F1 | Rafficdate Number | Ravellername Precision | Ravellername Recall | Ravellername F1 | Ravellername Number | Rewtype Precision | Rewtype Recall | Rewtype F1 | Rewtype Number | Rossamount Precision | Rossamount Recall | Rossamount F1 | Rossamount Number | Rrivaltrainno Precision | Rrivaltrainno Recall | Rrivaltrainno F1 | Rrivaltrainno Number | Urrencycode Precision | Urrencycode Recall | Urrencycode F1 | Urrencycode Number | Xternalreservationnumber Precision | Xternalreservationnumber Recall | Xternalreservationnumber F1 | Xternalreservationnumber Number | Overall Precision | Overall Recall | Overall F1 | Overall Accuracy |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0.1284 | 1.0 | 9028 | 0.2249 | 0.6051 | 0.6381 | 0.6212 | 237046 | 0.8298 | 0.8486 | 0.8391 | 8131 | 0.9500 | 0.9829 | 0.9661 | 50290 | 0.8675 | 0.9672 | 0.9147 | 84619 | 0.7426 | 0.8671 | 0.8000 | 36138 | 0.7634 | 0.2278 | 0.3509 | 1374 | 0.4002 | 0.4273 | 0.4133 | 929 | 0.4746 | 0.6053 | 0.5320 | 3821 | 0.7542 | 0.7993 | 0.7761 | 5302 | 0.5823 | 0.5234 | 0.5513 | 2568 | 0.7222 | 0.7484 | 0.7351 | 6299 | 0.8997 | 0.9417 | 0.9202 | 17115 | 0.8939 | 0.9516 | 0.9219 | 17016 | 0.9084 | 0.9411 | 0.9245 | 14899 | 0.8265 | 0.9056 | 0.8643 | 14479 | 0.7735 | 0.8466 | 0.8084 | 13966 | 0.7846 | 0.8053 | 0.7949 | 15201 | 0.8367 | 0.8781 | 0.8569 | 14804 | 0.8513 | 0.8905 | 0.8704 | 9011 | 0.7246 | 0.7488 | 0.7365 | 15233 | 0.5700 | 0.7029 | 0.6295 | 3474 | 0.9078 | 0.9416 | 0.9244 | 14770 | 0.4890 | 0.2880 | 0.3625 | 2156 | 0.8005 | 0.8676 | 0.8327 | 17347 | 0.5074 | 0.5322 | 0.5195 | 14199 | 0.0 | 0.0 | 0.0 | 73 | 0.6766 | 0.7324 | 0.7034 | 13694 | 0.7753 | 0.7335 | 0.7538 | 3358 | 0.8659 | 0.9431 | 0.9028 | 10425 | 0.8095 | 0.8758 | 0.8413 | 7689 | 0.3709 | 0.3988 | 0.3843 | 14855 | 0.8148 | 0.8661 | 0.8397 | 11808 | 0.4123 | 0.4808 | 0.4439 | 2338 | 0.6639 | 0.7497 | 0.7042 | 9094 | 0.7285 | 0.7670 | 0.7473 | 13620 | 0.0 | 0.0 | 0.0 | 106 | 0.5650 | 0.5714 | 0.5682 | 17893 | 0.0 | 0.0 | 0.0 | 56 | 0.6678 | 0.7477 | 0.7055 | 12491 | 0.0 | 0.0 | 0.0 | 81 | 0.5382 | 0.5533 | 0.5457 | 8510 | 0.2434 | 0.3370 | 0.2826 | 546 | 0.7255 | 0.7735 | 0.7487 | 0.9302 |
0.0949 | 2.0 | 18056 | 0.2538 | 0.6162 | 0.6452 | 0.6303 | 237046 | 0.8405 | 0.8458 | 0.8431 | 8131 | 0.9490 | 0.9812 | 0.9649 | 50290 | 0.8735 | 0.9649 | 0.9170 | 84619 | 0.7396 | 0.8769 | 0.8024 | 36138 | 0.6905 | 0.3719 | 0.4834 | 1374 | 0.4151 | 0.3897 | 0.4020 | 929 | 0.5313 | 0.5258 | 0.5285 | 3821 | 0.8081 | 0.7988 | 0.8034 | 5302 | 0.5410 | 0.5191 | 0.5298 | 2568 | 0.7758 | 0.7496 | 0.7625 | 6299 | 0.8919 | 0.9457 | 0.9180 | 17115 | 0.9044 | 0.9463 | 0.9249 | 17016 | 0.9129 | 0.9350 | 0.9238 | 14899 | 0.8430 | 0.8905 | 0.8661 | 14479 | 0.7821 | 0.8443 | 0.8120 | 13966 | 0.7772 | 0.8112 | 0.7938 | 15201 | 0.8387 | 0.8730 | 0.8555 | 14804 | 0.8723 | 0.8940 | 0.8830 | 9011 | 0.7337 | 0.7492 | 0.7414 | 15233 | 0.5927 | 0.7637 | 0.6674 | 3474 | 0.9079 | 0.9436 | 0.9254 | 14770 | 0.4455 | 0.3827 | 0.4117 | 2156 | 0.8238 | 0.8998 | 0.8601 | 17347 | 0.5073 | 0.5811 | 0.5417 | 14199 | 0.0 | 0.0 | 0.0 | 73 | 0.6748 | 0.7625 | 0.7159 | 13694 | 0.7798 | 0.7719 | 0.7758 | 3358 | 0.8900 | 0.9372 | 0.9130 | 10425 | 0.8245 | 0.8796 | 0.8511 | 7689 | 0.3752 | 0.4187 | 0.3958 | 14855 | 0.8101 | 0.8608 | 0.8347 | 11808 | 0.3970 | 0.3867 | 0.3918 | 2338 | 0.6857 | 0.7671 | 0.7241 | 9094 | 0.7172 | 0.8081 | 0.7600 | 13620 | 0.0 | 0.0 | 0.0 | 106 | 0.5803 | 0.6002 | 0.5901 | 17893 | 0.0 | 0.0 | 0.0 | 56 | 0.6878 | 0.7319 | 0.7091 | 12491 | 0.0 | 0.0 | 0.0 | 81 | 0.5058 | 0.6246 | 0.5589 | 8510 | 0.2834 | 0.2601 | 0.2713 | 546 | 0.7320 | 0.7803 | 0.7554 | 0.9309 |
0.0782 | 3.0 | 27084 | 0.2606 | 0.6117 | 0.6390 | 0.6250 | 237046 | 0.8184 | 0.8262 | 0.8223 | 8131 | 0.9502 | 0.9816 | 0.9657 | 50290 | 0.8877 | 0.9201 | 0.9036 | 84619 | 0.7477 | 0.8500 | 0.7955 | 36138 | 0.5903 | 0.3282 | 0.4219 | 1374 | 0.3621 | 0.4241 | 0.3907 | 929 | 0.5362 | 0.5972 | 0.5651 | 3821 | 0.8191 | 0.8059 | 0.8124 | 5302 | 0.4764 | 0.5350 | 0.5040 | 2568 | 0.7917 | 0.7520 | 0.7714 | 6299 | 0.9026 | 0.9322 | 0.9172 | 17115 | 0.9173 | 0.9306 | 0.9239 | 17016 | 0.9072 | 0.9280 | 0.9175 | 14899 | 0.8581 | 0.8802 | 0.8690 | 14479 | 0.7958 | 0.8043 | 0.8000 | 13966 | 0.7862 | 0.8067 | 0.7963 | 15201 | 0.8454 | 0.8715 | 0.8583 | 14804 | 0.8700 | 0.8935 | 0.8816 | 9011 | 0.7315 | 0.7457 | 0.7385 | 15233 | 0.6142 | 0.7260 | 0.6654 | 3474 | 0.9243 | 0.9458 | 0.9349 | 14770 | 0.4591 | 0.3200 | 0.3772 | 2156 | 0.8301 | 0.8991 | 0.8632 | 17347 | 0.5019 | 0.5571 | 0.5281 | 14199 | 0.0 | 0.0 | 0.0 | 73 | 0.6794 | 0.7505 | 0.7132 | 13694 | 0.7549 | 0.7731 | 0.7639 | 3358 | 0.8898 | 0.9406 | 0.9145 | 10425 | 0.8262 | 0.8744 | 0.8496 | 7689 | 0.3755 | 0.4342 | 0.4027 | 14855 | 0.8130 | 0.8565 | 0.8342 | 11808 | 0.4039 | 0.4880 | 0.4420 | 2338 | 0.6806 | 0.7690 | 0.7221 | 9094 | 0.7218 | 0.7937 | 0.7560 | 13620 | 0.0 | 0.0 | 0.0 | 106 | 0.5664 | 0.5833 | 0.5747 | 17893 | 0.0 | 0.0 | 0.0 | 56 | 0.7069 | 0.7203 | 0.7135 | 12491 | 0.0 | 0.0 | 0.0 | 81 | 0.5185 | 0.6040 | 0.5580 | 8510 | 0.2916 | 0.2985 | 0.2950 | 546 | 0.7324 | 0.7688 | 0.7501 | 0.9298 |
0.0694 | 4.0 | 36112 | 0.2742 | 0.6140 | 0.6404 | 0.6269 | 237046 | 0.8279 | 0.8427 | 0.8353 | 8131 | 0.9584 | 0.9779 | 0.9681 | 50290 | 0.8788 | 0.9550 | 0.9153 | 84619 | 0.7570 | 0.8489 | 0.8003 | 36138 | 0.6154 | 0.3726 | 0.4642 | 1374 | 0.3753 | 0.3079 | 0.3383 | 929 | 0.5500 | 0.5472 | 0.5486 | 3821 | 0.8143 | 0.8046 | 0.8094 | 5302 | 0.4958 | 0.5502 | 0.5216 | 2568 | 0.7635 | 0.7820 | 0.7726 | 6299 | 0.8950 | 0.9375 | 0.9158 | 17115 | 0.9195 | 0.9421 | 0.9307 | 17016 | 0.9184 | 0.9130 | 0.9157 | 14899 | 0.8473 | 0.8920 | 0.8691 | 14479 | 0.7910 | 0.8237 | 0.8070 | 13966 | 0.7911 | 0.8068 | 0.7989 | 15201 | 0.8482 | 0.8748 | 0.8613 | 14804 | 0.8821 | 0.8880 | 0.8850 | 9011 | 0.7338 | 0.7524 | 0.7430 | 15233 | 0.6135 | 0.7268 | 0.6653 | 3474 | 0.9229 | 0.9471 | 0.9348 | 14770 | 0.4395 | 0.3353 | 0.3804 | 2156 | 0.8377 | 0.8575 | 0.8475 | 17347 | 0.5023 | 0.5608 | 0.5299 | 14199 | 0.0 | 0.0 | 0.0 | 73 | 0.6818 | 0.7411 | 0.7102 | 13694 | 0.7758 | 0.7624 | 0.7690 | 3358 | 0.8859 | 0.9463 | 0.9151 | 10425 | 0.8254 | 0.8763 | 0.8501 | 7689 | 0.3629 | 0.4012 | 0.3811 | 14855 | 0.8099 | 0.8589 | 0.8337 | 11808 | 0.4079 | 0.4179 | 0.4128 | 2338 | 0.6814 | 0.7562 | 0.7168 | 9094 | 0.7155 | 0.7878 | 0.7499 | 13620 | 0.0 | 0.0 | 0.0 | 106 | 0.5795 | 0.5858 | 0.5826 | 17893 | 0.0 | 0.0 | 0.0 | 56 | 0.7074 | 0.7414 | 0.7240 | 12491 | 0.1667 | 0.0123 | 0.0230 | 81 | 0.5150 | 0.6221 | 0.5635 | 8510 | 0.3077 | 0.1832 | 0.2296 | 546 | 0.7348 | 0.7723 | 0.7531 | 0.9304 |
0.0611 | 5.0 | 45140 | 0.2882 | 0.6023 | 0.6380 | 0.6197 | 237046 | 0.8333 | 0.8466 | 0.8399 | 8131 | 0.9550 | 0.9796 | 0.9671 | 50290 | 0.8793 | 0.9514 | 0.9139 | 84619 | 0.7702 | 0.8053 | 0.7873 | 36138 | 0.6968 | 0.3362 | 0.4536 | 1374 | 0.3502 | 0.3423 | 0.3462 | 929 | 0.5616 | 0.5357 | 0.5484 | 3821 | 0.7968 | 0.8084 | 0.8025 | 5302 | 0.4867 | 0.5257 | 0.5054 | 2568 | 0.7753 | 0.7809 | 0.7781 | 6299 | 0.8936 | 0.9431 | 0.9177 | 17115 | 0.9145 | 0.9476 | 0.9307 | 17016 | 0.9093 | 0.9276 | 0.9184 | 14899 | 0.8563 | 0.8794 | 0.8677 | 14479 | 0.7865 | 0.8224 | 0.8041 | 13966 | 0.7796 | 0.8055 | 0.7924 | 15201 | 0.8437 | 0.8769 | 0.8600 | 14804 | 0.8774 | 0.8936 | 0.8854 | 9011 | 0.7129 | 0.7315 | 0.7221 | 15233 | 0.6146 | 0.6894 | 0.6498 | 3474 | 0.9177 | 0.9469 | 0.9320 | 14770 | 0.4048 | 0.3905 | 0.3975 | 2156 | 0.8147 | 0.8874 | 0.8495 | 17347 | 0.4697 | 0.5330 | 0.4993 | 14199 | 0.0167 | 0.0137 | 0.0150 | 73 | 0.6612 | 0.7259 | 0.6921 | 13694 | 0.7438 | 0.7832 | 0.7630 | 3358 | 0.8861 | 0.9432 | 0.9138 | 10425 | 0.8241 | 0.8813 | 0.8517 | 7689 | 0.3579 | 0.3929 | 0.3746 | 14855 | 0.8134 | 0.8595 | 0.8358 | 11808 | 0.4019 | 0.3888 | 0.3952 | 2338 | 0.6700 | 0.7726 | 0.7176 | 9094 | 0.7078 | 0.7703 | 0.7377 | 13620 | 0.0 | 0.0 | 0.0 | 106 | 0.5627 | 0.5884 | 0.5752 | 17893 | 0.0 | 0.0 | 0.0 | 56 | 0.6969 | 0.7388 | 0.7172 | 12491 | 0.0833 | 0.0123 | 0.0215 | 81 | 0.5232 | 0.5875 | 0.5535 | 8510 | 0.3384 | 0.2033 | 0.2540 | 546 | 0.7275 | 0.7683 | 0.7473 | 0.9289 |
0.0553 | 6.0 | 54168 | 0.3093 | 0.6089 | 0.6331 | 0.6207 | 237046 | 0.8358 | 0.8460 | 0.8409 | 8131 | 0.9535 | 0.9790 | 0.9660 | 50290 | 0.8810 | 0.9473 | 0.9130 | 84619 | 0.7619 | 0.8295 | 0.7942 | 36138 | 0.7952 | 0.3588 | 0.4945 | 1374 | 0.3539 | 0.3574 | 0.3557 | 929 | 0.5173 | 0.5708 | 0.5427 | 3821 | 0.7957 | 0.8005 | 0.7980 | 5302 | 0.4793 | 0.5549 | 0.5143 | 2568 | 0.7789 | 0.7742 | 0.7766 | 6299 | 0.9099 | 0.9173 | 0.9136 | 17115 | 0.9204 | 0.9266 | 0.9235 | 17016 | 0.9095 | 0.9170 | 0.9132 | 14899 | 0.8601 | 0.8832 | 0.8715 | 14479 | 0.7790 | 0.8266 | 0.8021 | 13966 | 0.7831 | 0.8054 | 0.7941 | 15201 | 0.8500 | 0.8801 | 0.8648 | 14804 | 0.8702 | 0.8956 | 0.8827 | 9011 | 0.7089 | 0.7308 | 0.7197 | 15233 | 0.6191 | 0.6635 | 0.6405 | 3474 | 0.9154 | 0.9443 | 0.9296 | 14770 | 0.3951 | 0.3660 | 0.3800 | 2156 | 0.8354 | 0.8543 | 0.8447 | 17347 | 0.4847 | 0.5319 | 0.5072 | 14199 | 0.0 | 0.0 | 0.0 | 73 | 0.6816 | 0.7360 | 0.7078 | 13694 | 0.7452 | 0.7707 | 0.7577 | 3358 | 0.8872 | 0.9373 | 0.9116 | 10425 | 0.8264 | 0.8736 | 0.8493 | 7689 | 0.3592 | 0.3978 | 0.3775 | 14855 | 0.8103 | 0.8536 | 0.8314 | 11808 | 0.4039 | 0.4196 | 0.4116 | 2338 | 0.6838 | 0.7559 | 0.7181 | 9094 | 0.7153 | 0.7747 | 0.7438 | 13620 | 0.0 | 0.0 | 0.0 | 106 | 0.5742 | 0.5826 | 0.5784 | 17893 | 0.0 | 0.0 | 0.0 | 56 | 0.7049 | 0.7295 | 0.7170 | 12491 | 0.125 | 0.0247 | 0.0412 | 81 | 0.5273 | 0.5794 | 0.5522 | 8510 | 0.3026 | 0.3187 | 0.3104 | 546 | 0.7317 | 0.7651 | 0.7480 | 0.9291 |
0.0479 | 7.0 | 63196 | 0.3174 | 0.6063 | 0.6329 | 0.6193 | 237046 | 0.8272 | 0.8409 | 0.8340 | 8131 | 0.9548 | 0.9760 | 0.9652 | 50290 | 0.8877 | 0.9305 | 0.9086 | 84619 | 0.7774 | 0.8091 | 0.7929 | 36138 | 0.7544 | 0.3755 | 0.5015 | 1374 | 0.3398 | 0.3402 | 0.3400 | 929 | 0.5445 | 0.5391 | 0.5418 | 3821 | 0.7955 | 0.7954 | 0.7954 | 5302 | 0.4725 | 0.5315 | 0.5003 | 2568 | 0.7750 | 0.7741 | 0.7745 | 6299 | 0.9077 | 0.9259 | 0.9167 | 17115 | 0.9165 | 0.9339 | 0.9252 | 17016 | 0.9098 | 0.9213 | 0.9155 | 14899 | 0.8606 | 0.8861 | 0.8732 | 14479 | 0.7805 | 0.8167 | 0.7982 | 13966 | 0.7704 | 0.7950 | 0.7825 | 15201 | 0.8509 | 0.8750 | 0.8628 | 14804 | 0.8754 | 0.8853 | 0.8803 | 9011 | 0.7043 | 0.7325 | 0.7181 | 15233 | 0.6016 | 0.6364 | 0.6185 | 3474 | 0.9171 | 0.9425 | 0.9296 | 14770 | 0.4277 | 0.2964 | 0.3501 | 2156 | 0.8348 | 0.8539 | 0.8442 | 17347 | 0.4832 | 0.5269 | 0.5041 | 14199 | 0.0 | 0.0 | 0.0 | 73 | 0.6770 | 0.7370 | 0.7057 | 13694 | 0.7586 | 0.7647 | 0.7617 | 3358 | 0.8926 | 0.9375 | 0.9145 | 10425 | 0.8242 | 0.8684 | 0.8457 | 7689 | 0.3697 | 0.3917 | 0.3803 | 14855 | 0.8084 | 0.8468 | 0.8271 | 11808 | 0.4032 | 0.4927 | 0.4435 | 2338 | 0.6847 | 0.7479 | 0.7149 | 9094 | 0.7230 | 0.7801 | 0.7505 | 13620 | 0.0 | 0.0 | 0.0 | 106 | 0.5682 | 0.5708 | 0.5695 | 17893 | 0.0 | 0.0 | 0.0 | 56 | 0.6910 | 0.7284 | 0.7092 | 12491 | 0.1667 | 0.0370 | 0.0606 | 81 | 0.5161 | 0.5920 | 0.5514 | 8510 | 0.2874 | 0.2747 | 0.2809 | 546 | 0.7316 | 0.7609 | 0.7460 | 0.9297 |
0.0436 | 8.0 | 72224 | 0.3214 | 0.6028 | 0.6325 | 0.6173 | 237046 | 0.8230 | 0.8335 | 0.8282 | 8131 | 0.9559 | 0.9753 | 0.9655 | 50290 | 0.8894 | 0.9289 | 0.9087 | 84619 | 0.7777 | 0.8063 | 0.7917 | 36138 | 0.7507 | 0.3748 | 0.5 | 1374 | 0.3289 | 0.3175 | 0.3231 | 929 | 0.5436 | 0.5444 | 0.5440 | 3821 | 0.7977 | 0.7972 | 0.7975 | 5302 | 0.4791 | 0.5078 | 0.4930 | 2568 | 0.7795 | 0.7792 | 0.7794 | 6299 | 0.9099 | 0.9260 | 0.9179 | 17115 | 0.9203 | 0.9320 | 0.9261 | 17016 | 0.9084 | 0.9204 | 0.9144 | 14899 | 0.8595 | 0.8827 | 0.8710 | 14479 | 0.7821 | 0.8193 | 0.8003 | 13966 | 0.7657 | 0.7917 | 0.7785 | 15201 | 0.8504 | 0.8760 | 0.8630 | 14804 | 0.8759 | 0.8851 | 0.8805 | 9011 | 0.6986 | 0.7240 | 0.7111 | 15233 | 0.6079 | 0.6684 | 0.6367 | 3474 | 0.9190 | 0.9434 | 0.9310 | 14770 | 0.4084 | 0.3214 | 0.3597 | 2156 | 0.8351 | 0.8537 | 0.8443 | 17347 | 0.4710 | 0.5188 | 0.4937 | 14199 | 0.0 | 0.0 | 0.0 | 73 | 0.6779 | 0.7343 | 0.7050 | 13694 | 0.7598 | 0.7686 | 0.7642 | 3358 | 0.8933 | 0.9382 | 0.9152 | 10425 | 0.8234 | 0.8668 | 0.8446 | 7689 | 0.3599 | 0.3987 | 0.3783 | 14855 | 0.8023 | 0.8373 | 0.8194 | 11808 | 0.4169 | 0.4602 | 0.4375 | 2338 | 0.6870 | 0.7394 | 0.7122 | 9094 | 0.7230 | 0.7776 | 0.7493 | 13620 | 0.0 | 0.0 | 0.0 | 106 | 0.5621 | 0.5663 | 0.5642 | 17893 | 0.0 | 0.0 | 0.0 | 56 | 0.7012 | 0.7258 | 0.7133 | 12491 | 0.1818 | 0.0494 | 0.0777 | 81 | 0.5212 | 0.5927 | 0.5547 | 8510 | 0.3103 | 0.3205 | 0.3153 | 546 | 0.7298 | 0.7596 | 0.7444 | 0.9298 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Downloads last month
- 3
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for nttaii/run_20240702210535
Base model
google-bert/bert-base-multilingual-cased
Finetuned
this model