--- library_name: transformers tags: - generated_from_trainer model-index: - name: monolang_roberta results: [] --- [Visualize in Weights & Biases](https://wandb.ai/iscteiul/CVTT/runs/0jwmsbus) # monolang_roberta This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.9382 ## 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: 5e-05 - train_batch_size: 128 - eval_batch_size: 128 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 1024 - optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 200 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:--------:|:-----:|:---------------:| | 4.3759 | 0.5735 | 100 | 4.2809 | | 3.8527 | 1.1434 | 200 | 3.7609 | | 3.3289 | 1.7168 | 300 | 3.2264 | | 2.9251 | 2.2867 | 400 | 2.8520 | | 2.7058 | 2.8602 | 500 | 2.6128 | | 2.5376 | 3.4301 | 600 | 2.4893 | | 2.3017 | 4.0 | 700 | 2.3807 | | 2.3375 | 4.5735 | 800 | 2.3030 | | 2.2953 | 5.1434 | 900 | 2.2198 | | 2.2365 | 5.7168 | 1000 | 2.1678 | | 2.1709 | 6.2867 | 1100 | 2.1113 | | 2.0904 | 6.8602 | 1200 | 2.0296 | | 2.0443 | 7.4301 | 1300 | 1.9785 | | 1.8951 | 8.0 | 1400 | 1.9323 | | 1.9251 | 8.5735 | 1500 | 1.8842 | | 1.8639 | 9.1434 | 1600 | 1.8533 | | 1.8359 | 9.7168 | 1700 | 1.8028 | | 1.8146 | 10.2867 | 1800 | 1.7665 | | 1.8021 | 10.8602 | 1900 | 1.7489 | | 1.7819 | 11.4301 | 2000 | 1.7204 | | 1.6114 | 12.0 | 2100 | 1.6807 | | 1.7171 | 12.5735 | 2200 | 1.6776 | | 1.6929 | 13.1434 | 2300 | 1.6672 | | 1.6784 | 13.7168 | 2400 | 1.6448 | | 1.6724 | 14.2867 | 2500 | 1.5998 | | 1.6372 | 14.8602 | 2600 | 1.5929 | | 1.6156 | 15.4301 | 2700 | 1.5809 | | 1.5284 | 16.0 | 2800 | 1.5574 | | 1.5787 | 16.5735 | 2900 | 1.5392 | | 1.5807 | 17.1434 | 3000 | 1.5195 | | 1.5732 | 17.7168 | 3100 | 1.5140 | | 1.5191 | 18.2867 | 3200 | 1.5144 | | 1.5057 | 18.8602 | 3300 | 1.4768 | | 1.5029 | 19.4301 | 3400 | 1.4749 | | 1.3981 | 20.0 | 3500 | 1.4581 | | 1.4977 | 20.5735 | 3600 | 1.4443 | | 1.4729 | 21.1434 | 3700 | 1.4306 | | 1.4637 | 21.7168 | 3800 | 1.4297 | | 1.4432 | 22.2867 | 3900 | 1.4210 | | 1.4343 | 22.8602 | 4000 | 1.4103 | | 1.4179 | 23.4301 | 4100 | 1.3859 | | 1.3212 | 24.0 | 4200 | 1.4049 | | 1.4155 | 24.5735 | 4300 | 1.3742 | | 1.3983 | 25.1434 | 4400 | 1.3840 | | 1.3998 | 25.7168 | 4500 | 1.3647 | | 1.3565 | 26.2867 | 4600 | 1.3581 | | 1.3805 | 26.8602 | 4700 | 1.3466 | | 1.3731 | 27.4301 | 4800 | 1.3374 | | 1.2775 | 28.0 | 4900 | 1.3320 | | 1.3217 | 28.5735 | 5000 | 1.3215 | | 1.3404 | 29.1434 | 5100 | 1.3185 | | 1.3235 | 29.7168 | 5200 | 1.3119 | | 1.3445 | 30.2867 | 5300 | 1.3268 | | 1.3243 | 30.8602 | 5400 | 1.3003 | | 1.2853 | 31.4301 | 5500 | 1.2758 | | 1.1974 | 32.0 | 5600 | 1.2880 | | 1.2663 | 32.5735 | 5700 | 1.2987 | | 1.2617 | 33.1434 | 5800 | 1.2877 | | 1.2717 | 33.7168 | 5900 | 1.2772 | | 1.2652 | 34.2867 | 6000 | 1.2786 | | 1.2668 | 34.8602 | 6100 | 1.2532 | | 1.2628 | 35.4301 | 6200 | 1.2404 | | 1.1627 | 36.0 | 6300 | 1.2596 | | 1.2476 | 36.5735 | 6400 | 1.2492 | | 1.2457 | 37.1434 | 6500 | 1.2402 | | 1.2393 | 37.7168 | 6600 | 1.2334 | | 1.2378 | 38.2867 | 6700 | 1.2394 | | 1.2272 | 38.8602 | 6800 | 1.2213 | | 1.2204 | 39.4301 | 6900 | 1.2100 | | 1.1453 | 40.0 | 7000 | 1.2134 | | 1.1963 | 40.5735 | 7100 | 1.2253 | | 1.2227 | 41.1434 | 7200 | 1.2188 | | 1.2166 | 41.7168 | 7300 | 1.2008 | | 1.2091 | 42.2867 | 7400 | 1.2055 | | 1.2127 | 42.8602 | 7500 | 1.2055 | | 1.1997 | 43.4301 | 7600 | 1.1971 | | 1.0956 | 44.0 | 7700 | 1.1974 | | 1.1672 | 44.5735 | 7800 | 1.1813 | | 1.1746 | 45.1434 | 7900 | 1.1858 | | 1.1569 | 45.7168 | 8000 | 1.1858 | | 1.1644 | 46.2867 | 8100 | 1.1759 | | 1.1629 | 46.8602 | 8200 | 1.1726 | | 1.1744 | 47.4301 | 8300 | 1.1646 | | 1.0728 | 48.0 | 8400 | 1.1666 | | 1.1436 | 48.5735 | 8500 | 1.1801 | | 1.126 | 49.1434 | 8600 | 1.1663 | | 1.1428 | 49.7168 | 8700 | 1.1510 | | 1.1298 | 50.2867 | 8800 | 1.1669 | | 1.1083 | 50.8602 | 8900 | 1.1516 | | 1.1404 | 51.4301 | 9000 | 1.1462 | | 1.0507 | 52.0 | 9100 | 1.1323 | | 1.1203 | 52.5735 | 9200 | 1.1381 | | 1.1176 | 53.1434 | 9300 | 1.1368 | | 1.1228 | 53.7168 | 9400 | 1.1321 | | 1.1341 | 54.2867 | 9500 | 1.1388 | | 1.1133 | 54.8602 | 9600 | 1.1385 | | 1.0973 | 55.4301 | 9700 | 1.1329 | | 1.0327 | 56.0 | 9800 | 1.1310 | | 1.0939 | 56.5735 | 9900 | 1.1411 | | 1.0856 | 57.1434 | 10000 | 1.1149 | | 1.1024 | 57.7168 | 10100 | 1.1196 | | 1.0865 | 58.2867 | 10200 | 1.1196 | | 1.0842 | 58.8602 | 10300 | 1.1250 | | 1.0786 | 59.4301 | 10400 | 1.1089 | | 0.9986 | 60.0 | 10500 | 1.1002 | | 1.0667 | 60.5735 | 10600 | 1.1080 | | 1.064 | 61.1434 | 10700 | 1.0939 | | 1.0784 | 61.7168 | 10800 | 1.1257 | | 1.0663 | 62.2867 | 10900 | 1.0998 | | 1.0794 | 62.8602 | 11000 | 1.0964 | | 1.0457 | 63.4301 | 11100 | 1.0893 | | 0.9931 | 64.0 | 11200 | 1.1005 | | 1.0574 | 64.5735 | 11300 | 1.0909 | | 1.0619 | 65.1434 | 11400 | 1.0873 | | 1.0669 | 65.7168 | 11500 | 1.0914 | | 1.0273 | 66.2867 | 11600 | 1.0926 | | 1.0467 | 66.8602 | 11700 | 1.0774 | | 1.0418 | 67.4301 | 11800 | 1.0900 | | 0.9703 | 68.0 | 11900 | 1.0799 | | 1.0118 | 68.5735 | 12000 | 1.0846 | | 1.0261 | 69.1434 | 12100 | 1.0652 | | 1.028 | 69.7168 | 12200 | 1.0750 | | 1.0204 | 70.2867 | 12300 | 1.0674 | | 1.0448 | 70.8602 | 12400 | 1.0690 | | 0.9965 | 71.4301 | 12500 | 1.0509 | | 0.9445 | 72.0 | 12600 | 1.0611 | | 1.0125 | 72.5735 | 12700 | 1.0688 | | 0.9895 | 73.1434 | 12800 | 1.0629 | | 1.0051 | 73.7168 | 12900 | 1.0446 | | 0.9876 | 74.2867 | 13000 | 1.0576 | | 0.9867 | 74.8602 | 13100 | 1.0576 | | 0.9902 | 75.4301 | 13200 | 1.0572 | | 0.9248 | 76.0 | 13300 | 1.0636 | | 0.9988 | 76.5735 | 13400 | 1.0623 | | 0.998 | 77.1434 | 13500 | 1.0668 | | 0.9777 | 77.7168 | 13600 | 1.0523 | | 0.9915 | 78.2867 | 13700 | 1.0476 | | 0.9914 | 78.8602 | 13800 | 1.0419 | | 0.992 | 79.4301 | 13900 | 1.0407 | | 0.922 | 80.0 | 14000 | 1.0459 | | 0.9738 | 80.5735 | 14100 | 1.0424 | | 0.9996 | 81.1434 | 14200 | 1.0459 | | 0.9856 | 81.7168 | 14300 | 1.0328 | | 0.9839 | 82.2867 | 14400 | 1.0587 | | 0.9748 | 82.8602 | 14500 | 1.0369 | | 0.9601 | 83.4301 | 14600 | 1.0350 | | 0.8863 | 84.0 | 14700 | 1.0475 | | 0.9639 | 84.5735 | 14800 | 1.0441 | | 0.9671 | 85.1434 | 14900 | 1.0326 | | 0.9515 | 85.7168 | 15000 | 1.0256 | | 0.9309 | 86.2867 | 15100 | 1.0351 | | 0.9479 | 86.8602 | 15200 | 1.0349 | | 0.9738 | 87.4301 | 15300 | 1.0221 | | 0.8831 | 88.0 | 15400 | 1.0311 | | 0.9384 | 88.5735 | 15500 | 1.0231 | | 0.9404 | 89.1434 | 15600 | 1.0369 | | 0.9354 | 89.7168 | 15700 | 1.0220 | | 0.9228 | 90.2867 | 15800 | 1.0354 | | 0.9312 | 90.8602 | 15900 | 1.0232 | | 0.9466 | 91.4301 | 16000 | 1.0174 | | 0.8721 | 92.0 | 16100 | 1.0168 | | 0.9328 | 92.5735 | 16200 | 1.0216 | | 0.9331 | 93.1434 | 16300 | 1.0145 | | 0.9435 | 93.7168 | 16400 | 1.0208 | | 0.9253 | 94.2867 | 16500 | 1.0163 | | 0.9231 | 94.8602 | 16600 | 1.0159 | | 0.9273 | 95.4301 | 16700 | 1.0044 | | 0.8571 | 96.0 | 16800 | 1.0047 | | 0.9293 | 96.5735 | 16900 | 1.0111 | | 0.9264 | 97.1434 | 17000 | 1.0088 | | 0.9221 | 97.7168 | 17100 | 1.0074 | | 0.9143 | 98.2867 | 17200 | 1.0123 | | 0.9119 | 98.8602 | 17300 | 1.0049 | | 0.9036 | 99.4301 | 17400 | 0.9973 | | 0.869 | 100.0 | 17500 | 1.0031 | | 0.9024 | 100.5735 | 17600 | 1.0054 | | 0.896 | 101.1434 | 17700 | 0.9966 | | 0.8883 | 101.7168 | 17800 | 1.0010 | | 0.9053 | 102.2867 | 17900 | 1.0160 | | 0.9263 | 102.8602 | 18000 | 1.0012 | | 0.9042 | 103.4301 | 18100 | 1.0145 | | 0.8341 | 104.0 | 18200 | 0.9961 | | 0.9028 | 104.5735 | 18300 | 1.0040 | | 0.9026 | 105.1434 | 18400 | 0.9844 | | 0.8801 | 105.7168 | 18500 | 0.9907 | | 0.8956 | 106.2867 | 18600 | 0.9983 | | 0.9023 | 106.8602 | 18700 | 0.9840 | | 0.8712 | 107.4301 | 18800 | 0.9946 | | 0.8374 | 108.0 | 18900 | 0.9944 | | 0.9102 | 108.5735 | 19000 | 0.9928 | | 0.8914 | 109.1434 | 19100 | 0.9778 | | 0.8852 | 109.7168 | 19200 | 0.9928 | | 0.8826 | 110.2867 | 19300 | 0.9829 | | 0.881 | 110.8602 | 19400 | 0.9747 | | 0.878 | 111.4301 | 19500 | 0.9809 | | 0.8219 | 112.0 | 19600 | 0.9707 | | 0.8797 | 112.5735 | 19700 | 0.9727 | | 0.8911 | 113.1434 | 19800 | 0.9759 | | 0.8706 | 113.7168 | 19900 | 0.9809 | | 0.8952 | 114.2867 | 20000 | 0.9871 | | 0.8585 | 114.8602 | 20100 | 0.9777 | | 0.8679 | 115.4301 | 20200 | 0.9745 | | 0.8289 | 116.0 | 20300 | 0.9793 | | 0.8647 | 116.5735 | 20400 | 0.9791 | | 0.8711 | 117.1434 | 20500 | 0.9806 | | 0.8734 | 117.7168 | 20600 | 0.9831 | | 0.8427 | 118.2867 | 20700 | 0.9862 | | 0.8678 | 118.8602 | 20800 | 0.9786 | | 0.8687 | 119.4301 | 20900 | 0.9738 | | 0.8072 | 120.0 | 21000 | 0.9758 | | 0.854 | 120.5735 | 21100 | 0.9647 | | 0.8679 | 121.1434 | 21200 | 0.9648 | | 0.8652 | 121.7168 | 21300 | 0.9747 | | 0.8621 | 122.2867 | 21400 | 0.9818 | | 0.8446 | 122.8602 | 21500 | 0.9861 | | 0.8618 | 123.4301 | 21600 | 0.9597 | | 0.8102 | 124.0 | 21700 | 0.9710 | | 0.8605 | 124.5735 | 21800 | 0.9672 | | 0.845 | 125.1434 | 21900 | 0.9760 | | 0.8452 | 125.7168 | 22000 | 0.9756 | | 0.848 | 126.2867 | 22100 | 0.9624 | | 0.8522 | 126.8602 | 22200 | 0.9559 | | 0.8481 | 127.4301 | 22300 | 0.9682 | | 0.7941 | 128.0 | 22400 | 0.9693 | | 0.8381 | 128.5735 | 22500 | 0.9690 | | 0.8498 | 129.1434 | 22600 | 0.9656 | | 0.8558 | 129.7168 | 22700 | 0.9619 | | 0.8241 | 130.2867 | 22800 | 0.9568 | | 0.8422 | 130.8602 | 22900 | 0.9662 | | 0.8446 | 131.4301 | 23000 | 0.9598 | | 0.7789 | 132.0 | 23100 | 0.9545 | | 0.8287 | 132.5735 | 23200 | 0.9655 | | 0.8413 | 133.1434 | 23300 | 0.9517 | | 0.8344 | 133.7168 | 23400 | 0.9638 | | 0.8287 | 134.2867 | 23500 | 0.9715 | | 0.8253 | 134.8602 | 23600 | 0.9619 | | 0.8232 | 135.4301 | 23700 | 0.9617 | | 0.7756 | 136.0 | 23800 | 0.9559 | | 0.8306 | 136.5735 | 23900 | 0.9612 | | 0.8383 | 137.1434 | 24000 | 0.9481 | | 0.8176 | 137.7168 | 24100 | 0.9537 | | 0.8292 | 138.2867 | 24200 | 0.9640 | | 0.8332 | 138.8602 | 24300 | 0.9477 | | 0.8296 | 139.4301 | 24400 | 0.9636 | | 0.7812 | 140.0 | 24500 | 0.9598 | | 0.8303 | 140.5735 | 24600 | 0.9559 | | 0.8207 | 141.1434 | 24700 | 0.9397 | | 0.8163 | 141.7168 | 24800 | 0.9461 | | 0.8177 | 142.2867 | 24900 | 0.9570 | | 0.8185 | 142.8602 | 25000 | 0.9555 | | 0.821 | 143.4301 | 25100 | 0.9620 | | 0.7833 | 144.0 | 25200 | 0.9386 | | 0.8218 | 144.5735 | 25300 | 0.9523 | | 0.8156 | 145.1434 | 25400 | 0.9508 | | 0.8205 | 145.7168 | 25500 | 0.9559 | | 0.8204 | 146.2867 | 25600 | 0.9569 | | 0.8113 | 146.8602 | 25700 | 0.9489 | | 0.8093 | 147.4301 | 25800 | 0.9483 | | 0.7531 | 148.0 | 25900 | 0.9512 | | 0.8023 | 148.5735 | 26000 | 0.9543 | | 0.8088 | 149.1434 | 26100 | 0.9640 | | 0.8054 | 149.7168 | 26200 | 0.9508 | | 0.8164 | 150.2867 | 26300 | 0.9372 | | 0.8307 | 150.8602 | 26400 | 0.9495 | | 0.8084 | 151.4301 | 26500 | 0.9408 | | 0.7723 | 152.0 | 26600 | 0.9561 | | 0.7929 | 152.5735 | 26700 | 0.9448 | | 0.7836 | 153.1434 | 26800 | 0.9495 | | 0.8016 | 153.7168 | 26900 | 0.9471 | | 0.8073 | 154.2867 | 27000 | 0.9490 | | 0.811 | 154.8602 | 27100 | 0.9445 | | 0.808 | 155.4301 | 27200 | 0.9497 | | 0.7446 | 156.0 | 27300 | 0.9624 | | 0.8005 | 156.5735 | 27400 | 0.9527 | | 0.8003 | 157.1434 | 27500 | 0.9406 | | 0.7985 | 157.7168 | 27600 | 0.9430 | | 0.8044 | 158.2867 | 27700 | 0.9457 | | 0.817 | 158.8602 | 27800 | 0.9419 | | 0.8118 | 159.4301 | 27900 | 0.9360 | | 0.7421 | 160.0 | 28000 | 0.9401 | | 0.8 | 160.5735 | 28100 | 0.9437 | | 0.7981 | 161.1434 | 28200 | 0.9223 | | 0.7917 | 161.7168 | 28300 | 0.9423 | | 0.8029 | 162.2867 | 28400 | 0.9357 | | 0.7934 | 162.8602 | 28500 | 0.9504 | | 0.7907 | 163.4301 | 28600 | 0.9382 | | 0.7451 | 164.0 | 28700 | 0.9348 | | 0.7871 | 164.5735 | 28800 | 0.9435 | | 0.7918 | 165.1434 | 28900 | 0.9399 | | 0.8033 | 165.7168 | 29000 | 0.9382 | | 0.7913 | 166.2867 | 29100 | 0.9279 | | 0.7902 | 166.8602 | 29200 | 0.9461 | | 0.781 | 167.4301 | 29300 | 0.9376 | | 0.7472 | 168.0 | 29400 | 0.9337 | | 0.7756 | 168.5735 | 29500 | 0.9419 | | 0.7944 | 169.1434 | 29600 | 0.9313 | | 0.7868 | 169.7168 | 29700 | 0.9308 | | 0.7914 | 170.2867 | 29800 | 0.9339 | | 0.7904 | 170.8602 | 29900 | 0.9410 | | 0.7923 | 171.4301 | 30000 | 0.9442 | | 0.7428 | 172.0 | 30100 | 0.9383 | | 0.7822 | 172.5735 | 30200 | 0.9369 | | 0.7956 | 173.1434 | 30300 | 0.9367 | | 0.7888 | 173.7168 | 30400 | 0.9332 | | 0.79 | 174.2867 | 30500 | 0.9264 | | 0.7922 | 174.8602 | 30600 | 0.9313 | | 0.7817 | 175.4301 | 30700 | 0.9363 | | 0.7282 | 176.0 | 30800 | 0.9198 | | 0.7819 | 176.5735 | 30900 | 0.9448 | | 0.7692 | 177.1434 | 31000 | 0.9359 | | 0.7725 | 177.7168 | 31100 | 0.9350 | | 0.7819 | 178.2867 | 31200 | 0.9376 | | 0.7951 | 178.8602 | 31300 | 0.9235 | | 0.7793 | 179.4301 | 31400 | 0.9309 | | 0.7439 | 180.0 | 31500 | 0.9385 | | 0.7843 | 180.5735 | 31600 | 0.9364 | | 0.781 | 181.1434 | 31700 | 0.9339 | | 0.7859 | 181.7168 | 31800 | 0.9422 | | 0.7684 | 182.2867 | 31900 | 0.9404 | | 0.7722 | 182.8602 | 32000 | 0.9209 | | 0.7799 | 183.4301 | 32100 | 0.9293 | | 0.7344 | 184.0 | 32200 | 0.9242 | | 0.7847 | 184.5735 | 32300 | 0.9372 | | 0.7825 | 185.1434 | 32400 | 0.9271 | | 0.7733 | 185.7168 | 32500 | 0.9302 | | 0.7603 | 186.2867 | 32600 | 0.9334 | | 0.7825 | 186.8602 | 32700 | 0.9228 | | 0.7806 | 187.4301 | 32800 | 0.9348 | | 0.7184 | 188.0 | 32900 | 0.9262 | | 0.7866 | 188.5735 | 33000 | 0.9271 | | 0.7649 | 189.1434 | 33100 | 0.9236 | | 0.7825 | 189.7168 | 33200 | 0.9378 | | 0.7788 | 190.2867 | 33300 | 0.9328 | | 0.7771 | 190.8602 | 33400 | 0.9311 | | 0.7771 | 191.4301 | 33500 | 0.9356 | | 0.722 | 192.0 | 33600 | 0.9329 | | 0.7683 | 192.5735 | 33700 | 0.9266 | | 0.7724 | 193.1434 | 33800 | 0.9198 | | 0.7491 | 193.7168 | 33900 | 0.9304 | | 0.7591 | 194.2867 | 34000 | 0.9245 | | 0.7609 | 194.8602 | 34100 | 0.9380 | | 0.7672 | 195.4301 | 34200 | 0.9298 | | 0.7194 | 196.0 | 34300 | 0.9120 | | 0.7618 | 196.5735 | 34400 | 0.9269 | | 0.7847 | 197.1434 | 34500 | 0.9285 | | 0.7746 | 197.7168 | 34600 | 0.9113 | | 0.7885 | 198.2867 | 34700 | 0.9460 | | 0.7768 | 198.8602 | 34800 | 0.9382 | ### Framework versions - Transformers 4.49.0 - Pytorch 2.6.0+cu124 - Datasets 3.5.0 - Tokenizers 0.21.1