--- license: apache-2.0 base_model: google/t5-efficient-tiny tags: - generated_from_trainer model-index: - name: salt_language_ID results: [] --- # salt_language_ID This model is a fine-tuned version of [google/t5-efficient-tiny](https://huggingface.co/google/t5-efficient-tiny) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.0226 ## 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: 0.0002 - train_batch_size: 32 - eval_batch_size: 16 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 64 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 290.8962 | 0.01 | 10 | 305.3102 | | 294.9642 | 0.01 | 20 | 296.0765 | | 281.0769 | 0.02 | 30 | 279.4232 | | 270.1917 | 0.03 | 40 | 254.2555 | | 243.3464 | 0.04 | 50 | 224.8921 | | 214.4873 | 0.04 | 60 | 196.3753 | | 187.9743 | 0.05 | 70 | 135.2601 | | 164.024 | 0.06 | 80 | 105.8822 | | 143.6121 | 0.06 | 90 | 90.4786 | | 126.019 | 0.07 | 100 | 75.9475 | | 111.2358 | 0.08 | 110 | 64.2843 | | 96.1458 | 0.09 | 120 | 51.4159 | | 83.5523 | 0.09 | 130 | 37.5541 | | 69.0164 | 0.1 | 140 | 24.2653 | | 55.3427 | 0.11 | 150 | 19.5405 | | 38.9215 | 0.11 | 160 | 12.6305 | | 28.0225 | 0.12 | 170 | 10.0512 | | 21.42 | 0.13 | 180 | 6.2506 | | 15.1783 | 0.14 | 190 | 3.1231 | | 11.7336 | 0.14 | 200 | 1.5384 | | 9.3141 | 0.15 | 210 | 1.0360 | | 6.9583 | 0.16 | 220 | 0.5647 | | 5.7743 | 0.16 | 230 | 0.5395 | | 4.7486 | 0.17 | 240 | 0.5611 | | 3.7387 | 0.18 | 250 | 0.4738 | | 3.3398 | 0.19 | 260 | 0.4057 | | 3.1383 | 0.19 | 270 | 0.7111 | | 2.5906 | 0.2 | 280 | 0.3963 | | 2.4711 | 0.21 | 290 | 0.6025 | | 2.0874 | 0.21 | 300 | 0.4192 | | 2.2178 | 0.22 | 310 | 0.5130 | | 1.9783 | 0.23 | 320 | 0.2481 | | 1.9655 | 0.24 | 330 | 0.2947 | | 1.677 | 0.24 | 340 | 0.1795 | | 1.5847 | 0.25 | 350 | 0.4913 | | 1.6727 | 0.26 | 360 | 0.3358 | | 1.5304 | 0.26 | 370 | 0.4296 | | 1.4964 | 0.27 | 380 | 0.1527 | | 1.3643 | 0.28 | 390 | 0.4387 | | 1.1374 | 0.29 | 400 | 0.1458 | | 1.0719 | 0.29 | 410 | 0.1550 | | 1.2705 | 0.3 | 420 | 0.3249 | | 0.863 | 0.31 | 430 | 0.1285 | | 0.9644 | 0.31 | 440 | 0.2107 | | 0.9679 | 0.32 | 450 | 0.1729 | | 0.9753 | 0.33 | 460 | 0.2159 | | 0.7938 | 0.33 | 470 | 0.3218 | | 0.739 | 0.34 | 480 | 0.1385 | | 0.6355 | 0.35 | 490 | 0.4408 | | 0.8578 | 0.36 | 500 | 0.1109 | | 0.758 | 0.36 | 510 | 0.1401 | | 0.5957 | 0.37 | 520 | 0.1470 | | 0.5933 | 0.38 | 530 | 0.1215 | | 0.6636 | 0.38 | 540 | 0.2513 | | 0.6857 | 0.39 | 550 | 0.1407 | | 0.5623 | 0.4 | 560 | 0.1325 | | 0.5055 | 0.41 | 570 | 0.1624 | | 0.5866 | 0.41 | 580 | 0.1763 | | 0.5811 | 0.42 | 590 | 0.1567 | | 0.5255 | 0.43 | 600 | 0.0916 | | 0.4512 | 0.43 | 610 | 0.1853 | | 0.4862 | 0.44 | 620 | 0.1168 | | 0.4378 | 0.45 | 630 | 0.0929 | | 0.4966 | 0.46 | 640 | 0.1254 | | 0.5138 | 0.46 | 650 | 0.1285 | | 0.4926 | 0.47 | 660 | 0.1072 | | 0.4133 | 0.48 | 670 | 0.0727 | | 0.3738 | 0.48 | 680 | 0.1100 | | 0.4558 | 0.49 | 690 | 0.1214 | | 0.3865 | 0.5 | 700 | 0.0773 | | 0.4216 | 0.51 | 710 | 0.1595 | | 0.3449 | 0.51 | 720 | 0.0754 | | 0.4205 | 0.52 | 730 | 0.0982 | | 0.3779 | 0.53 | 740 | 0.1105 | | 0.3229 | 0.53 | 750 | 0.1698 | | 0.3178 | 0.54 | 760 | 0.0753 | | 0.3405 | 0.55 | 770 | 0.2353 | | 0.3267 | 0.56 | 780 | 0.0656 | | 0.2672 | 0.56 | 790 | 0.0955 | | 0.4229 | 0.57 | 800 | 0.0635 | | 0.3338 | 0.58 | 810 | 0.1630 | | 0.337 | 0.58 | 820 | 0.0740 | | 0.2945 | 0.59 | 830 | 0.1947 | | 0.3374 | 0.6 | 840 | 0.1016 | | 0.3101 | 0.61 | 850 | 0.0946 | | 0.2595 | 0.61 | 860 | 0.0785 | | 0.3179 | 0.62 | 870 | 0.0758 | | 0.244 | 0.63 | 880 | 0.0606 | | 0.3186 | 0.63 | 890 | 0.0601 | | 0.2838 | 0.64 | 900 | 0.0847 | | 0.2624 | 0.65 | 910 | 0.0638 | | 0.2806 | 0.66 | 920 | 0.0915 | | 0.2859 | 0.66 | 930 | 0.0630 | | 0.213 | 0.67 | 940 | 0.0592 | | 0.2174 | 0.68 | 950 | 0.0514 | | 0.2555 | 0.68 | 960 | 0.0832 | | 0.2361 | 0.69 | 970 | 0.0442 | | 0.1854 | 0.7 | 980 | 0.1016 | | 0.2414 | 0.71 | 990 | 0.0615 | | 0.2522 | 0.71 | 1000 | 0.0420 | | 0.2331 | 0.72 | 1010 | 0.0609 | | 0.2191 | 0.73 | 1020 | 0.0605 | | 0.1605 | 0.73 | 1030 | 0.0535 | | 0.2002 | 0.74 | 1040 | 0.0607 | | 0.2003 | 0.75 | 1050 | 0.0535 | | 0.2306 | 0.76 | 1060 | 0.0597 | | 0.2004 | 0.76 | 1070 | 0.0583 | | 0.1524 | 0.77 | 1080 | 0.0653 | | 0.2124 | 0.78 | 1090 | 0.0543 | | 0.1635 | 0.78 | 1100 | 0.0490 | | 0.2245 | 0.79 | 1110 | 0.0538 | | 0.2144 | 0.8 | 1120 | 0.0411 | | 0.2212 | 0.81 | 1130 | 0.0421 | | 0.2369 | 0.81 | 1140 | 0.0373 | | 0.1499 | 0.82 | 1150 | 0.1028 | | 0.2434 | 0.83 | 1160 | 0.0515 | | 0.214 | 0.83 | 1170 | 0.0388 | | 0.1667 | 0.84 | 1180 | 0.0576 | | 0.2044 | 0.85 | 1190 | 0.0360 | | 0.1666 | 0.86 | 1200 | 0.0532 | | 0.1679 | 0.86 | 1210 | 0.0389 | | 0.2201 | 0.87 | 1220 | 0.0411 | | 0.1384 | 0.88 | 1230 | 0.0653 | | 0.2331 | 0.88 | 1240 | 0.0364 | | 0.1344 | 0.89 | 1250 | 0.0432 | | 0.1661 | 0.9 | 1260 | 0.0604 | | 0.1689 | 0.91 | 1270 | 0.0426 | | 0.1465 | 0.91 | 1280 | 0.0448 | | 0.2009 | 0.92 | 1290 | 0.0389 | | 0.1384 | 0.93 | 1300 | 0.0362 | | 0.179 | 0.93 | 1310 | 0.0466 | | 0.1728 | 0.94 | 1320 | 0.0373 | | 0.139 | 0.95 | 1330 | 0.0469 | | 0.1359 | 0.96 | 1340 | 0.0339 | | 0.1666 | 0.96 | 1350 | 0.0390 | | 0.0943 | 0.97 | 1360 | 0.0359 | | 0.1155 | 0.98 | 1370 | 0.0499 | | 0.1176 | 0.98 | 1380 | 0.0390 | | 0.1034 | 0.99 | 1390 | 0.0603 | | 0.1147 | 1.0 | 1400 | 0.0370 | | 0.127 | 1.0 | 1410 | 0.0513 | | 0.1474 | 1.01 | 1420 | 0.0341 | | 0.1509 | 1.02 | 1430 | 0.0378 | | 0.0809 | 1.03 | 1440 | 0.0521 | | 0.1262 | 1.03 | 1450 | 0.0320 | | 0.1305 | 1.04 | 1460 | 0.0484 | | 0.1552 | 1.05 | 1470 | 0.0311 | | 0.1147 | 1.05 | 1480 | 0.0341 | | 0.1099 | 1.06 | 1490 | 0.0330 | | 0.1196 | 1.07 | 1500 | 0.0332 | | 0.0823 | 1.08 | 1510 | 0.0475 | | 0.1426 | 1.08 | 1520 | 0.0377 | | 0.1118 | 1.09 | 1530 | 0.0336 | | 0.0665 | 1.1 | 1540 | 0.0328 | | 0.1171 | 1.1 | 1550 | 0.0324 | | 0.1166 | 1.11 | 1560 | 0.0447 | | 0.1348 | 1.12 | 1570 | 0.0342 | | 0.1327 | 1.13 | 1580 | 0.0413 | | 0.1099 | 1.13 | 1590 | 0.0335 | | 0.0801 | 1.14 | 1600 | 0.0370 | | 0.13 | 1.15 | 1610 | 0.0389 | | 0.1238 | 1.15 | 1620 | 0.0516 | | 0.1092 | 1.16 | 1630 | 0.0311 | | 0.1007 | 1.17 | 1640 | 0.0399 | | 0.1142 | 1.18 | 1650 | 0.0383 | | 0.0893 | 1.18 | 1660 | 0.0328 | | 0.1115 | 1.19 | 1670 | 0.0536 | | 0.0861 | 1.2 | 1680 | 0.0289 | | 0.1141 | 1.2 | 1690 | 0.0334 | | 0.1487 | 1.21 | 1700 | 0.0314 | | 0.1214 | 1.22 | 1710 | 0.0371 | | 0.0876 | 1.23 | 1720 | 0.0296 | | 0.0927 | 1.23 | 1730 | 0.0292 | | 0.0651 | 1.24 | 1740 | 0.0309 | | 0.1355 | 1.25 | 1750 | 0.0372 | | 0.0883 | 1.25 | 1760 | 0.0359 | | 0.1067 | 1.26 | 1770 | 0.0305 | | 0.1166 | 1.27 | 1780 | 0.0368 | | 0.0603 | 1.28 | 1790 | 0.0306 | | 0.073 | 1.28 | 1800 | 0.0292 | | 0.1029 | 1.29 | 1810 | 0.0308 | | 0.1019 | 1.3 | 1820 | 0.0279 | | 0.0989 | 1.3 | 1830 | 0.0356 | | 0.1132 | 1.31 | 1840 | 0.0506 | | 0.0978 | 1.32 | 1850 | 0.0280 | | 0.0743 | 1.33 | 1860 | 0.0305 | | 0.0573 | 1.33 | 1870 | 0.0265 | | 0.0861 | 1.34 | 1880 | 0.0303 | | 0.0782 | 1.35 | 1890 | 0.0467 | | 0.0931 | 1.35 | 1900 | 0.0286 | | 0.0812 | 1.36 | 1910 | 0.0329 | | 0.0993 | 1.37 | 1920 | 0.0440 | | 0.1547 | 1.38 | 1930 | 0.0411 | | 0.081 | 1.38 | 1940 | 0.0308 | | 0.1014 | 1.39 | 1950 | 0.0289 | | 0.0674 | 1.4 | 1960 | 0.0362 | | 0.1119 | 1.4 | 1970 | 0.0412 | | 0.0996 | 1.41 | 1980 | 0.0267 | | 0.1239 | 1.42 | 1990 | 0.0272 | | 0.0919 | 1.43 | 2000 | 0.0334 | | 0.1352 | 1.43 | 2010 | 0.0276 | | 0.068 | 1.44 | 2020 | 0.0283 | | 0.094 | 1.45 | 2030 | 0.0282 | | 0.0844 | 1.45 | 2040 | 0.0315 | | 0.0486 | 1.46 | 2050 | 0.0247 | | 0.0721 | 1.47 | 2060 | 0.0275 | | 0.1169 | 1.48 | 2070 | 0.0331 | | 0.1055 | 1.48 | 2080 | 0.0292 | | 0.0665 | 1.49 | 2090 | 0.0241 | | 0.078 | 1.5 | 2100 | 0.0245 | | 0.0923 | 1.5 | 2110 | 0.0277 | | 0.0983 | 1.51 | 2120 | 0.0292 | | 0.0993 | 1.52 | 2130 | 0.0241 | | 0.0381 | 1.53 | 2140 | 0.0316 | | 0.0614 | 1.53 | 2150 | 0.0269 | | 0.0616 | 1.54 | 2160 | 0.0239 | | 0.0535 | 1.55 | 2170 | 0.0246 | | 0.0645 | 1.55 | 2180 | 0.0286 | | 0.0895 | 1.56 | 2190 | 0.0310 | | 0.0963 | 1.57 | 2200 | 0.0266 | | 0.087 | 1.58 | 2210 | 0.0253 | | 0.0976 | 1.58 | 2220 | 0.0252 | | 0.1 | 1.59 | 2230 | 0.0332 | | 0.0679 | 1.6 | 2240 | 0.0301 | | 0.0949 | 1.6 | 2250 | 0.0263 | | 0.0508 | 1.61 | 2260 | 0.0232 | | 0.0619 | 1.62 | 2270 | 0.0274 | | 0.0649 | 1.63 | 2280 | 0.0239 | | 0.0837 | 1.63 | 2290 | 0.0253 | | 0.0903 | 1.64 | 2300 | 0.0262 | | 0.0655 | 1.65 | 2310 | 0.0274 | | 0.0782 | 1.65 | 2320 | 0.0340 | | 0.0905 | 1.66 | 2330 | 0.0279 | | 0.1116 | 1.67 | 2340 | 0.0278 | | 0.06 | 1.67 | 2350 | 0.0256 | | 0.0915 | 1.68 | 2360 | 0.0285 | | 0.0826 | 1.69 | 2370 | 0.0259 | | 0.0593 | 1.7 | 2380 | 0.0265 | | 0.0551 | 1.7 | 2390 | 0.0247 | | 0.0732 | 1.71 | 2400 | 0.0252 | | 0.0936 | 1.72 | 2410 | 0.0271 | | 0.0706 | 1.72 | 2420 | 0.0263 | | 0.0544 | 1.73 | 2430 | 0.0250 | | 0.0606 | 1.74 | 2440 | 0.0247 | | 0.0707 | 1.75 | 2450 | 0.0256 | | 0.0759 | 1.75 | 2460 | 0.0269 | | 0.0688 | 1.76 | 2470 | 0.0260 | | 0.0537 | 1.77 | 2480 | 0.0239 | | 0.0979 | 1.77 | 2490 | 0.0246 | | 0.0899 | 1.78 | 2500 | 0.0263 | | 0.0834 | 1.79 | 2510 | 0.0274 | | 0.0597 | 1.8 | 2520 | 0.0253 | | 0.0807 | 1.8 | 2530 | 0.0250 | | 0.0902 | 1.81 | 2540 | 0.0221 | | 0.0849 | 1.82 | 2550 | 0.0223 | | 0.0722 | 1.82 | 2560 | 0.0222 | | 0.0647 | 1.83 | 2570 | 0.0211 | | 0.0789 | 1.84 | 2580 | 0.0217 | | 0.0839 | 1.85 | 2590 | 0.0248 | | 0.0761 | 1.85 | 2600 | 0.0252 | | 0.1191 | 1.86 | 2610 | 0.0267 | | 0.093 | 1.87 | 2620 | 0.0254 | | 0.0581 | 1.87 | 2630 | 0.0245 | | 0.0776 | 1.88 | 2640 | 0.0246 | | 0.0699 | 1.89 | 2650 | 0.0242 | | 0.07 | 1.9 | 2660 | 0.0246 | | 0.0523 | 1.9 | 2670 | 0.0238 | | 0.0773 | 1.91 | 2680 | 0.0226 | | 0.0781 | 1.92 | 2690 | 0.0221 | | 0.0593 | 1.92 | 2700 | 0.0223 | | 0.0955 | 1.93 | 2710 | 0.0234 | | 0.0662 | 1.94 | 2720 | 0.0235 | | 0.0704 | 1.95 | 2730 | 0.0229 | | 0.0785 | 1.95 | 2740 | 0.0222 | | 0.0778 | 1.96 | 2750 | 0.0219 | | 0.0462 | 1.97 | 2760 | 0.0220 | | 0.0596 | 1.97 | 2770 | 0.0222 | | 0.0599 | 1.98 | 2780 | 0.0224 | | 0.0489 | 1.99 | 2790 | 0.0226 | | 0.0738 | 2.0 | 2800 | 0.0226 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.1.2 - Datasets 2.1.0 - Tokenizers 0.15.2