generated_from_trainer

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

MIX2_ja-en_helsinki

This model is a fine-tuned version of Helsinki-NLP/opus-mt-ja-en on an unknown dataset. It achieves the following results on the evaluation set:

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:

Training results

Training Loss Epoch Step Validation Loss
2.8467 0.01 2000 2.3237
2.6439 0.02 4000 2.2542
2.547 0.03 6000 2.1956
2.4852 0.04 8000 2.1088
2.4408 0.05 10000 2.0909
2.404 0.06 12000 2.1029
2.3634 0.07 14000 2.0636
2.3491 0.08 16000 2.0312
2.3203 0.09 18000 2.0187
2.3002 0.1 20000 1.9999
2.2791 0.11 22000 1.9823
2.2607 0.11 24000 1.9588
2.2475 0.12 26000 1.9728
2.2308 0.13 28000 1.9330
2.2237 0.14 30000 1.9657
2.208 0.15 32000 1.9560
2.2019 0.16 34000 1.9704
2.1864 0.17 36000 1.9513
2.1764 0.18 38000 1.9534
2.163 0.19 40000 1.9140
2.1534 0.2 42000 1.9241
2.146 0.21 44000 1.9162
2.1403 0.22 46000 1.9030
2.1309 0.23 48000 1.8741
2.1174 0.24 50000 1.8834
2.1157 0.25 52000 1.8666
2.1116 0.26 54000 1.8870
2.1062 0.27 56000 1.8837
2.0994 0.28 58000 1.8638
2.0924 0.29 60000 1.8766
2.0874 0.3 62000 1.8712
2.0805 0.31 64000 1.8792
2.0746 0.32 66000 1.8586
2.0684 0.32 68000 1.8819
2.0678 0.33 70000 1.8529
2.061 0.34 72000 1.8219
2.0532 0.35 74000 1.8383
2.0536 0.36 76000 1.8273
2.0432 0.37 78000 1.8304
2.0386 0.38 80000 1.8208
2.0361 0.39 82000 1.8103
2.0353 0.4 84000 1.8193
2.0266 0.41 86000 1.8369
2.0277 0.42 88000 1.8266
2.0221 0.43 90000 1.8372
2.0181 0.44 92000 1.8436
2.0182 0.45 94000 1.8505
2.0088 0.46 96000 1.8127
2.005 0.47 98000 1.8325
2.0003 0.48 100000 1.8407
2.0031 0.49 102000 1.8140
1.9954 0.5 104000 1.8177
1.9894 0.51 106000 1.8072
1.9901 0.52 108000 1.7971
1.9864 0.53 110000 1.8007
1.9848 0.53 112000 1.7961
1.9774 0.54 114000 1.7933
1.9802 0.55 116000 1.8031
1.9698 0.56 118000 1.8137
1.973 0.57 120000 1.7930
1.9696 0.58 122000 1.7838
1.9641 0.59 124000 1.7730
1.9609 0.6 126000 1.7800
1.9605 0.61 128000 1.7680
1.9516 0.62 130000 1.7895
1.9529 0.63 132000 1.7825
1.9503 0.64 134000 1.7792
1.9528 0.65 136000 1.8031
1.9439 0.66 138000 1.7652
1.9453 0.67 140000 1.7713
1.9404 0.68 142000 1.7585
1.9399 0.69 144000 1.7454
1.9325 0.7 146000 1.7605
1.9327 0.71 148000 1.7608
1.9301 0.72 150000 1.7743
1.928 0.73 152000 1.7532
1.9286 0.74 154000 1.7682
1.9194 0.74 156000 1.7582
1.9247 0.75 158000 1.7601
1.9183 0.76 160000 1.7600
1.9138 0.77 162000 1.7555
1.9148 0.78 164000 1.7447
1.913 0.79 166000 1.7512
1.9084 0.8 168000 1.7408
1.9109 0.81 170000 1.7463
1.905 0.82 172000 1.7543
1.9067 0.83 174000 1.7662
1.9005 0.84 176000 1.7428
1.8997 0.85 178000 1.7500
1.8963 0.86 180000 1.7297
1.8938 0.87 182000 1.7356
1.8923 0.88 184000 1.7602
1.8896 0.89 186000 1.7426
1.8866 0.9 188000 1.7323
1.887 0.91 190000 1.7587
1.8855 0.92 192000 1.7591
1.8842 0.93 194000 1.7570
1.8808 0.94 196000 1.7311
1.8836 0.95 198000 1.7449
1.8761 0.96 200000 1.7534
1.8721 0.96 202000 1.7623
1.8765 0.97 204000 1.7462
1.8747 0.98 206000 1.7452
1.8667 0.99 208000 1.7303
1.8618 1.0 210000 1.7468
1.8475 1.01 212000 1.7443
1.8435 1.02 214000 1.7622
1.8452 1.03 216000 1.7153
1.84 1.04 218000 1.6976
1.8432 1.05 220000 1.7013
1.842 1.06 222000 1.7073
1.8428 1.07 224000 1.6991
1.841 1.08 226000 1.7477
1.8321 1.09 228000 1.7438
1.838 1.1 230000 1.7352
1.8339 1.11 232000 1.7242
1.836 1.12 234000 1.7221
1.8329 1.13 236000 1.7402
1.8337 1.14 238000 1.7083
1.8267 1.15 240000 1.7200
1.8335 1.16 242000 1.7092
1.8306 1.17 244000 1.7340
1.8279 1.17 246000 1.6983
1.8261 1.18 248000 1.6928
1.8295 1.19 250000 1.7135
1.8227 1.2 252000 1.7156
1.822 1.21 254000 1.7018
1.8216 1.22 256000 1.7157
1.8205 1.23 258000 1.7047
1.8163 1.24 260000 1.6988
1.8187 1.25 262000 1.7077
1.8188 1.26 264000 1.6859
1.8138 1.27 266000 1.6831
1.8173 1.28 268000 1.6887
1.813 1.29 270000 1.6967
1.8114 1.3 272000 1.7085
1.8057 1.31 274000 1.6885
1.8094 1.32 276000 1.7198
1.8079 1.33 278000 1.7036
1.8056 1.34 280000 1.7106
1.8044 1.35 282000 1.6704
1.8047 1.36 284000 1.6811
1.7978 1.37 286000 1.6848
1.7997 1.38 288000 1.6698
1.7997 1.38 290000 1.6820
1.7945 1.39 292000 1.6963
1.7958 1.4 294000 1.6922
1.7923 1.41 296000 1.6577
1.7975 1.42 298000 1.6621
1.7914 1.43 300000 1.6804
1.7944 1.44 302000 1.6953
1.7927 1.45 304000 1.6846
1.789 1.46 306000 1.6889
1.7851 1.47 308000 1.6652
1.7902 1.48 310000 1.6823
1.7873 1.49 312000 1.6603
1.7868 1.5 314000 1.6766
1.7856 1.51 316000 1.6717
1.7807 1.52 318000 1.6466
1.7767 1.53 320000 1.6639
1.7782 1.54 322000 1.6678
1.7762 1.55 324000 1.6853
1.7746 1.56 326000 1.6785
1.7746 1.57 328000 1.6777
1.7716 1.58 330000 1.6784
1.7699 1.59 332000 1.6648
1.7739 1.59 334000 1.6725
1.7703 1.6 336000 1.6915
1.7707 1.61 338000 1.6858
1.7619 1.62 340000 1.6624
1.7652 1.63 342000 1.6797
1.7626 1.64 344000 1.6728
1.7647 1.65 346000 1.6580
1.7616 1.66 348000 1.6679
1.7616 1.67 350000 1.6470
1.7611 1.68 352000 1.6489
1.759 1.69 354000 1.6603
1.7604 1.7 356000 1.6532
1.7599 1.71 358000 1.6477
1.7529 1.72 360000 1.6322
1.7596 1.73 362000 1.6447
1.7508 1.74 364000 1.6509
1.7533 1.75 366000 1.6465
1.755 1.76 368000 1.6485
1.7473 1.77 370000 1.6493
1.7435 1.78 372000 1.6542
1.7483 1.79 374000 1.6573
1.7475 1.8 376000 1.6626
1.7439 1.8 378000 1.6366
1.7417 1.81 380000 1.6312
1.7387 1.82 382000 1.6424
1.7415 1.83 384000 1.6468
1.7409 1.84 386000 1.6528
1.7362 1.85 388000 1.6394
1.7372 1.86 390000 1.6581
1.7347 1.87 392000 1.6546
1.7368 1.88 394000 1.6468
1.7302 1.89 396000 1.6450
1.7317 1.9 398000 1.6368
1.7306 1.91 400000 1.6399
1.7304 1.92 402000 1.6180
1.726 1.93 404000 1.6212
1.7271 1.94 406000 1.6302
1.7312 1.95 408000 1.6264
1.7249 1.96 410000 1.6584
1.7226 1.97 412000 1.6514
1.7214 1.98 414000 1.6516
1.7228 1.99 416000 1.6346
1.7205 2.0 418000 1.6370
1.7041 2.01 420000 1.6021
1.691 2.02 422000 1.6385
1.6896 2.02 424000 1.6280
1.6882 2.03 426000 1.6295
1.6889 2.04 428000 1.6445
1.6904 2.05 430000 1.6558
1.6933 2.06 432000 1.6164
1.6916 2.07 434000 1.6011
1.6873 2.08 436000 1.6199
1.6903 2.09 438000 1.6300
1.6859 2.1 440000 1.6104
1.6901 2.11 442000 1.6248
1.6884 2.12 444000 1.6251
1.6859 2.13 446000 1.6145
1.6906 2.14 448000 1.6181
1.6859 2.15 450000 1.6264
1.6814 2.16 452000 1.6069
1.6853 2.17 454000 1.6089
1.6881 2.18 456000 1.6102
1.6869 2.19 458000 1.6327
1.6827 2.2 460000 1.6069
1.6813 2.21 462000 1.6278
1.6806 2.22 464000 1.6176
1.6763 2.23 466000 1.6180
1.68 2.23 468000 1.6226
1.6816 2.24 470000 1.6071
1.6845 2.25 472000 1.6178
1.6764 2.26 474000 1.6073
1.682 2.27 476000 1.5966
1.6727 2.28 478000 1.5979
1.6718 2.29 480000 1.6109
1.6764 2.3 482000 1.6034
1.671 2.31 484000 1.6001
1.6691 2.32 486000 1.6148
1.6706 2.33 488000 1.6003
1.6705 2.34 490000 1.6021
1.6699 2.35 492000 1.5940
1.6708 2.36 494000 1.6077
1.6715 2.37 496000 1.6188
1.6672 2.38 498000 1.5903
1.6638 2.39 500000 1.6042
1.6634 2.4 502000 1.5967
1.6669 2.41 504000 1.5904
1.6643 2.42 506000 1.6071
1.6606 2.43 508000 1.6065
1.6573 2.44 510000 1.6010
1.6603 2.44 512000 1.5801
1.6568 2.45 514000 1.5961
1.6564 2.46 516000 1.6020
1.6596 2.47 518000 1.5952
1.6567 2.48 520000 1.5760
1.6536 2.49 522000 1.5697
1.6564 2.5 524000 1.5664
1.652 2.51 526000 1.5616
1.653 2.52 528000 1.5738
1.6525 2.53 530000 1.5754
1.65 2.54 532000 1.5749
1.6519 2.55 534000 1.5788
1.6515 2.56 536000 1.5953
1.6492 2.57 538000 1.5836
1.6473 2.58 540000 1.5896
1.6452 2.59 542000 1.5858
1.6464 2.6 544000 1.5760
1.6445 2.61 546000 1.5683
1.6457 2.62 548000 1.5823
1.6417 2.63 550000 1.5780
1.6407 2.64 552000 1.5715
1.6368 2.65 554000 1.5618
1.6357 2.65 556000 1.5725
1.6446 2.66 558000 1.5744
1.634 2.67 560000 1.5360
1.6351 2.68 562000 1.5599
1.6362 2.69 564000 1.5607
1.637 2.7 566000 1.5561
1.6324 2.71 568000 1.5591
1.6325 2.72 570000 1.5527
1.6323 2.73 572000 1.5537
1.629 2.74 574000 1.5673
1.627 2.75 576000 1.5509
1.6279 2.76 578000 1.5507
1.6291 2.77 580000 1.5304
1.625 2.78 582000 1.5540
1.6246 2.79 584000 1.5530
1.6228 2.8 586000 1.5570
1.6241 2.81 588000 1.5586
1.6224 2.82 590000 1.5480
1.6264 2.83 592000 1.5624
1.6214 2.84 594000 1.5565
1.6187 2.85 596000 1.5397
1.6191 2.86 598000 1.5520
1.6192 2.87 600000 1.5494
1.6182 2.87 602000 1.5608
1.6164 2.88 604000 1.5428
1.6107 2.89 606000 1.5525
1.614 2.9 608000 1.5277
1.6158 2.91 610000 1.5502
1.6082 2.92 612000 1.5452
1.6089 2.93 614000 1.5400
1.6112 2.94 616000 1.5322
1.6069 2.95 618000 1.5394
1.6111 2.96 620000 1.5537
1.6038 2.97 622000 1.5486
1.6073 2.98 624000 1.5551
1.6046 2.99 626000 1.5386
1.6051 3.0 628000 1.5369
1.5672 3.01 630000 1.5361
1.5694 3.02 632000 1.5390
1.5692 3.03 634000 1.5386
1.5651 3.04 636000 1.5456
1.5724 3.05 638000 1.5419
1.5708 3.06 640000 1.5363
1.5665 3.07 642000 1.5446
1.5706 3.08 644000 1.5331
1.5679 3.08 646000 1.5449
1.5678 3.09 648000 1.5436
1.5676 3.1 650000 1.5309
1.5657 3.11 652000 1.5334
1.5697 3.12 654000 1.5303
1.5617 3.13 656000 1.5380
1.5675 3.14 658000 1.5404
1.5612 3.15 660000 1.5258
1.5639 3.16 662000 1.5329
1.567 3.17 664000 1.5418
1.5619 3.18 666000 1.5314
1.5637 3.19 668000 1.5201
1.5608 3.2 670000 1.5181
1.5641 3.21 672000 1.5290
1.5626 3.22 674000 1.5180
1.5605 3.23 676000 1.5156
1.5566 3.24 678000 1.5266
1.5587 3.25 680000 1.5286
1.5602 3.26 682000 1.5265
1.5535 3.27 684000 1.5354
1.5589 3.28 686000 1.5265
1.5569 3.29 688000 1.5346
1.559 3.29 690000 1.5306
1.5507 3.3 692000 1.5359
1.5547 3.31 694000 1.5264
1.5498 3.32 696000 1.5264
1.5559 3.33 698000 1.5273
1.553 3.34 700000 1.5137
1.5503 3.35 702000 1.5143
1.5498 3.36 704000 1.5263
1.5516 3.37 706000 1.5096
1.5461 3.38 708000 1.5112
1.5489 3.39 710000 1.5094
1.5451 3.4 712000 1.5079
1.544 3.41 714000 1.5058
1.5446 3.42 716000 1.5005
1.5417 3.43 718000 1.4972
1.5469 3.44 720000 1.5043
1.5407 3.45 722000 1.5041
1.5484 3.46 724000 1.5104
1.5409 3.47 726000 1.5087
1.5431 3.48 728000 1.5114
1.5393 3.49 730000 1.5102
1.5364 3.5 732000 1.5143
1.5403 3.5 734000 1.5202
1.5386 3.51 736000 1.5143
1.5381 3.52 738000 1.5198
1.5341 3.53 740000 1.5136
1.5344 3.54 742000 1.5172
1.5347 3.55 744000 1.5149
1.5292 3.56 746000 1.5141
1.5344 3.57 748000 1.5066
1.5307 3.58 750000 1.5087
1.5324 3.59 752000 1.5113
1.5273 3.6 754000 1.5101
1.5273 3.61 756000 1.4975
1.5282 3.62 758000 1.5053
1.5252 3.63 760000 1.4998
1.525 3.64 762000 1.5020
1.5297 3.65 764000 1.5075
1.5215 3.66 766000 1.4980
1.5237 3.67 768000 1.5066
1.5248 3.68 770000 1.5093
1.5231 3.69 772000 1.5090
1.5224 3.7 774000 1.5093
1.526 3.71 776000 1.5015
1.5215 3.71 778000 1.5045
1.5231 3.72 780000 1.4971
1.5205 3.73 782000 1.4987
1.5171 3.74 784000 1.5001
1.5134 3.75 786000 1.4951
1.5155 3.76 788000 1.4975
1.5154 3.77 790000 1.4928
1.5167 3.78 792000 1.4983
1.5146 3.79 794000 1.4938
1.5138 3.8 796000 1.4985
1.5137 3.81 798000 1.5021
1.5111 3.82 800000 1.5020
1.5134 3.83 802000 1.4998
1.5086 3.84 804000 1.5001
1.5081 3.85 806000 1.5031
1.5097 3.86 808000 1.5008
1.5128 3.87 810000 1.4990
1.5093 3.88 812000 1.4994
1.5109 3.89 814000 1.5021
1.5049 3.9 816000 1.5012
1.5042 3.91 818000 1.5013
1.5053 3.92 820000 1.4946
1.5066 3.93 822000 1.4984
1.5074 3.93 824000 1.4963
1.5046 3.94 826000 1.4972
1.5043 3.95 828000 1.4970
1.5064 3.96 830000 1.4940
1.4999 3.97 832000 1.4940
1.5022 3.98 834000 1.4934
1.5054 3.99 836000 1.4929

Framework versions