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2020-Q3-90p-filtered

This model is a fine-tuned version of cardiffnlp/twitter-roberta-base-2019-90m on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 3.7327

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: 4.1e-07
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 2400000

Training results

Training Loss Epoch Step Validation Loss
No log 0.17 8000 4.1206
4.294 0.34 16000 4.0057
4.294 0.51 24000 3.9651
4.0928 0.68 32000 3.8968
4.0928 0.85 40000 3.8837
4.0249 1.01 48000 3.8693
4.0249 1.18 56000 3.8535
3.9984 1.35 64000 3.8320
3.9984 1.52 72000 3.8221
3.9768 1.69 80000 3.8312
3.9768 1.86 88000 3.8663
3.9664 2.03 96000 3.8159
3.9664 2.2 104000 3.8216
3.9582 2.37 112000 3.8313
3.9582 2.54 120000 3.8215
3.9513 2.7 128000 3.7974
3.9513 2.87 136000 3.8077
3.9604 3.04 144000 3.7820
3.9604 3.21 152000 3.7946
3.9564 3.38 160000 3.8025
3.9564 3.55 168000 3.8236
3.9533 3.72 176000 3.8194
3.9533 3.89 184000 3.7996
3.9554 4.06 192000 3.7775
3.9554 4.23 200000 3.7879
3.9471 4.4 208000 3.8141
3.9471 4.56 216000 3.8025
3.9478 4.73 224000 3.7839
3.9478 4.9 232000 3.8026
3.9336 5.07 240000 3.8102
3.9336 5.24 248000 3.7985
3.9384 5.41 256000 3.8082
3.9384 5.58 264000 3.7966
3.9467 5.75 272000 3.7826
3.9467 5.92 280000 3.7730
3.936 6.09 288000 3.7910
3.936 6.26 296000 3.7904
3.9438 6.42 304000 3.7918
3.9438 6.59 312000 3.7773
3.9386 6.76 320000 3.7665
3.9386 6.93 328000 3.7803
3.9365 7.1 336000 3.7851
3.9365 7.27 344000 3.7787
3.946 7.44 352000 3.7683
3.946 7.61 360000 3.7781
3.9323 7.78 368000 3.7725
3.9323 7.95 376000 3.7714
3.9355 8.11 384000 3.7898
3.9355 8.28 392000 3.7781
3.9296 8.45 400000 3.7859
3.9296 8.62 408000 3.7685
3.9272 8.79 416000 3.7745
3.9272 8.96 424000 3.7547
3.9377 9.13 432000 3.7588
3.9377 9.3 440000 3.7635
3.9279 9.47 448000 3.7588
3.9279 9.64 456000 3.7531
3.9267 9.81 464000 3.7778
3.9267 9.97 472000 3.7847
3.9168 10.14 480000 3.7633
3.9168 10.31 488000 3.7564
3.9304 10.48 496000 3.7547
3.9304 10.65 504000 3.7544
3.9218 10.82 512000 3.7564
3.9218 10.99 520000 3.7775
3.9247 11.16 528000 3.7621
3.9247 11.33 536000 3.7585
3.9148 11.5 544000 3.7779
3.9148 11.66 552000 3.7580
3.9224 11.83 560000 3.7564
3.9224 12.0 568000 3.7553
3.9196 12.17 576000 3.7440
3.9196 12.34 584000 3.7556
3.9228 12.51 592000 3.7632
3.9228 12.68 600000 3.7566
3.926 12.85 608000 3.7429
3.926 13.02 616000 3.7447
3.922 13.19 624000 3.7573
3.922 13.36 632000 3.7698
3.9269 13.52 640000 3.7592
3.9269 13.69 648000 3.7665
3.918 13.86 656000 3.7588
3.918 14.03 664000 3.7394
3.9173 14.2 672000 3.7605
3.9173 14.37 680000 3.7484
3.9115 14.54 688000 3.7686
3.9115 14.71 696000 3.7632
3.9111 14.88 704000 3.7682
3.9111 15.05 712000 3.7497
3.9131 15.21 720000 3.7470
3.9131 15.38 728000 3.7567
3.9211 15.55 736000 3.7546
3.9211 15.72 744000 3.7390
3.9059 15.89 752000 3.7530
3.9059 16.06 760000 3.7728
3.9051 16.23 768000 3.7345
3.9051 16.4 776000 3.7468
3.9103 16.57 784000 3.7357
3.9103 16.74 792000 3.7434
3.9058 16.91 800000 3.7456
3.9058 17.07 808000 3.7634
3.9076 17.24 816000 3.7374
3.9076 17.41 824000 3.7534
3.9071 17.58 832000 3.7576
3.9071 17.75 840000 3.7682
3.8976 17.92 848000 3.7599
3.8976 18.09 856000 3.7436
3.9071 18.26 864000 3.7564
3.9071 18.43 872000 3.7284
3.9067 18.6 880000 3.7458
3.9067 18.77 888000 3.7448
3.914 18.93 896000 3.7490
3.914 19.1 904000 3.7290
3.9086 19.27 912000 3.7238
3.9086 19.44 920000 3.7402
3.9115 19.61 928000 3.7399
3.9115 19.78 936000 3.7504
3.905 19.95 944000 3.7206
3.905 20.12 952000 3.7351
3.9012 20.29 960000 3.7409
3.9012 20.46 968000 3.7426
3.9043 20.62 976000 3.7349
3.9043 20.79 984000 3.7376
3.9104 20.96 992000 3.7325
3.9104 21.13 1000000 3.7488
3.9025 21.3 1008000 3.7192
3.9025 21.47 1016000 3.7437
3.9131 21.64 1024000 3.7483
3.9131 21.81 1032000 3.7290
3.9048 21.98 1040000 3.7547
3.9048 22.15 1048000 3.7387
3.9011 22.32 1056000 3.7373
3.9011 22.48 1064000 3.7222
3.8988 22.65 1072000 3.7362
3.8988 22.82 1080000 3.7068
3.9022 22.99 1088000 3.7358
3.9022 23.16 1096000 3.7317
3.8916 23.33 1104000 3.7264
3.8916 23.5 1112000 3.7487
3.9079 23.67 1120000 3.7486
3.9079 23.84 1128000 3.7403
3.9037 24.01 1136000 3.7345
3.9037 24.17 1144000 3.7221
3.8932 24.34 1152000 3.7286
3.8932 24.51 1160000 3.7309
3.9055 24.68 1168000 3.7464
3.9055 24.85 1176000 3.7289
3.901 25.02 1184000 3.7245
3.901 25.19 1192000 3.7169
3.8934 25.36 1200000 3.7176
3.8934 25.53 1208000 3.7250
3.9063 25.7 1216000 3.7347
3.9063 25.87 1224000 3.7445
3.8937 26.03 1232000 3.7318
3.8937 26.2 1240000 3.7202
3.9056 26.37 1248000 3.7427
3.9056 26.54 1256000 3.7317
3.8966 26.71 1264000 3.7210
3.8966 26.88 1272000 3.7238
3.8888 27.05 1280000 3.7164
3.8888 27.22 1288000 3.7068
3.8924 27.39 1296000 3.7498
3.8924 27.56 1304000 3.7183
3.8992 27.72 1312000 3.7284
3.8992 27.89 1320000 3.7397
3.891 28.06 1328000 3.7212
3.891 28.23 1336000 3.7249
3.8947 28.4 1344000 3.7143
3.8947 28.57 1352000 3.7273
3.8938 28.74 1360000 3.7317
3.8938 28.91 1368000 3.7182
3.8848 29.08 1376000 3.7199
3.8848 29.25 1384000 3.7309
3.8907 29.42 1392000 3.7221
3.8907 29.58 1400000 3.7299
3.8956 29.75 1408000 3.7257
3.8956 29.92 1416000 3.7313
3.8915 30.09 1424000 3.7374
3.8915 30.26 1432000 3.7146
3.901 30.43 1440000 3.7190
3.901 30.6 1448000 3.7211
3.8901 30.77 1456000 3.7215
3.8901 30.94 1464000 3.7189
3.89 31.11 1472000 3.6938
3.89 31.28 1480000 3.7315
3.8981 31.44 1488000 3.7328
3.8981 31.61 1496000 3.6945
3.8866 31.78 1504000 3.7125
3.8866 31.95 1512000 3.7229
3.8943 32.12 1520000 3.7248
3.8943 32.29 1528000 3.7076
3.8978 32.46 1536000 3.7276
3.8978 32.63 1544000 3.7146
3.8917 32.8 1552000 3.7323
3.8917 32.97 1560000 3.7308
3.902 33.13 1568000 3.7290
3.902 33.3 1576000 3.7153
3.8942 33.47 1584000 3.7271
3.8942 33.64 1592000 3.7061
3.885 33.81 1600000 3.7335
3.885 33.98 1608000 3.7009
3.8916 34.15 1616000 3.7184
3.8916 34.32 1624000 3.7282
3.8941 34.49 1632000 3.7347
3.8941 34.66 1640000 3.7183
3.8923 34.83 1648000 3.7179
3.8923 34.99 1656000 3.7358
3.8959 35.16 1664000 3.7375
3.8959 35.33 1672000 3.7214
3.8864 35.5 1680000 3.6894
3.8864 35.67 1688000 3.7273
3.8882 35.84 1696000 3.7326
3.8882 36.01 1704000 3.7454
3.8897 36.18 1712000 3.7255
3.8897 36.35 1720000 3.7154
3.8846 36.52 1728000 3.7161
3.8846 36.68 1736000 3.7116
3.8768 36.85 1744000 3.6959
3.8768 37.02 1752000 3.7220
3.8972 37.19 1760000 3.7378
3.8972 37.36 1768000 3.7325
3.8849 37.53 1776000 3.7259
3.8849 37.7 1784000 3.7256
3.892 37.87 1792000 3.7198
3.892 38.04 1800000 3.7202
3.8947 38.21 1808000 3.7185
3.8947 38.38 1816000 3.7097
3.8904 38.54 1824000 3.7317
3.8904 38.71 1832000 3.7153
3.8884 38.88 1840000 3.7399
3.8884 39.05 1848000 3.7260
3.8815 39.22 1856000 3.7156
3.8815 39.39 1864000 3.7196
3.8915 39.56 1872000 3.7313
3.8915 39.73 1880000 3.7223
3.8795 39.9 1888000 3.7163
3.8795 40.07 1896000 3.7089
3.8865 40.23 1904000 3.7227
3.8865 40.4 1912000 3.7250
3.8987 40.57 1920000 3.6921
3.8987 40.74 1928000 3.7254
3.8826 40.91 1936000 3.7100
3.8826 41.08 1944000 3.7356
3.8911 41.25 1952000 3.7179
3.8911 41.42 1960000 3.7277
3.8752 41.59 1968000 3.7068
3.8752 41.76 1976000 3.7191
3.8818 41.93 1984000 3.7262
3.8818 42.09 1992000 3.7295
3.8774 42.26 2000000 3.7066
3.8774 42.43 2008000 3.6993
3.883 42.6 2016000 3.7086
3.883 42.77 2024000 3.7209
3.8885 42.94 2032000 3.7046
3.8885 43.11 2040000 3.6927
3.8909 43.28 2048000 3.7372
3.8909 43.45 2056000 3.7064
3.8904 43.62 2064000 3.7271
3.8904 43.79 2072000 3.7223
3.8877 43.95 2080000 3.7141
3.8877 44.12 2088000 3.6969
3.8886 44.29 2096000 3.7125
3.8886 44.46 2104000 3.7268
3.8832 44.63 2112000 3.7046
3.8832 44.8 2120000 3.7419
3.8812 44.97 2128000 3.7163
3.8812 45.14 2136000 3.7046
3.8852 45.31 2144000 3.7006
3.8852 45.48 2152000 3.7212
3.8864 45.64 2160000 3.7030
3.8864 45.81 2168000 3.7296
3.8867 45.98 2176000 3.7194
3.8867 46.15 2184000 3.7131
3.8856 46.32 2192000 3.7299
3.8856 46.49 2200000 3.6991
3.8843 46.66 2208000 3.7246
3.8843 46.83 2216000 3.7112
3.8923 47.0 2224000 3.7293
3.8923 47.17 2232000 3.7117
3.8905 47.34 2240000 3.7194
3.8905 47.5 2248000 3.6994
3.8818 47.67 2256000 3.7122
3.8818 47.84 2264000 3.7011
3.888 48.01 2272000 3.7052
3.888 48.18 2280000 3.7164
3.8801 48.35 2288000 3.7082
3.8801 48.52 2296000 3.7080
3.8818 48.69 2304000 3.7073
3.8818 48.86 2312000 3.7132
3.8889 49.03 2320000 3.7126
3.8889 49.19 2328000 3.7306
3.8868 49.36 2336000 3.7130
3.8868 49.53 2344000 3.7146
3.8849 49.7 2352000 3.7087
3.8849 49.87 2360000 3.7074
3.8807 50.04 2368000 3.7131
3.8807 50.21 2376000 3.7047
3.8847 50.38 2384000 3.7149
3.8847 50.55 2392000 3.7103
3.8927 50.72 2400000 3.7306

Framework versions

  • Transformers 4.35.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.5
  • Tokenizers 0.14.0
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