--- 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: 0.0523 ## 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: 1 ### 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 | 0.1393 | | 0.5958 | 0.37 | 520 | 0.1510 | | 0.591 | 0.38 | 530 | 0.1199 | | 0.6605 | 0.38 | 540 | 0.2369 | | 0.6788 | 0.39 | 550 | 0.1469 | | 0.5533 | 0.4 | 560 | 0.1505 | | 0.517 | 0.41 | 570 | 0.1881 | | 0.5682 | 0.41 | 580 | 0.1808 | | 0.592 | 0.42 | 590 | 0.2145 | | 0.4944 | 0.43 | 600 | 0.0838 | | 0.4257 | 0.43 | 610 | 0.2627 | | 0.4852 | 0.44 | 620 | 0.1266 | | 0.457 | 0.45 | 630 | 0.1091 | | 0.5455 | 0.46 | 640 | 0.1685 | | 0.5514 | 0.46 | 650 | 0.0978 | | 0.5117 | 0.47 | 660 | 0.1249 | | 0.4067 | 0.48 | 670 | 0.0845 | | 0.3931 | 0.48 | 680 | 0.1590 | | 0.4459 | 0.49 | 690 | 0.1579 | | 0.3834 | 0.5 | 700 | 0.0723 | | 0.4204 | 0.51 | 710 | 0.1741 | | 0.3586 | 0.51 | 720 | 0.0758 | | 0.4346 | 0.52 | 730 | 0.1412 | | 0.3643 | 0.53 | 740 | 0.0911 | | 0.3513 | 0.53 | 750 | 0.1685 | | 0.3544 | 0.54 | 760 | 0.0671 | | 0.3327 | 0.55 | 770 | 0.2027 | | 0.3361 | 0.56 | 780 | 0.0781 | | 0.2818 | 0.56 | 790 | 0.1254 | | 0.3959 | 0.57 | 800 | 0.0609 | | 0.3416 | 0.58 | 810 | 0.2034 | | 0.3283 | 0.58 | 820 | 0.0913 | | 0.2884 | 0.59 | 830 | 0.1646 | | 0.3753 | 0.6 | 840 | 0.1290 | | 0.3436 | 0.61 | 850 | 0.1186 | | 0.2789 | 0.61 | 860 | 0.1103 | | 0.3437 | 0.62 | 870 | 0.0744 | | 0.2594 | 0.63 | 880 | 0.0608 | | 0.3105 | 0.63 | 890 | 0.0623 | | 0.3247 | 0.64 | 900 | 0.0801 | | 0.3111 | 0.65 | 910 | 0.0721 | | 0.2956 | 0.66 | 920 | 0.0617 | | 0.2971 | 0.66 | 930 | 0.1223 | | 0.2329 | 0.67 | 940 | 0.0652 | | 0.2615 | 0.68 | 950 | 0.0768 | | 0.2812 | 0.68 | 960 | 0.0735 | | 0.2756 | 0.69 | 970 | 0.0572 | | 0.201 | 0.7 | 980 | 0.0582 | | 0.2462 | 0.71 | 990 | 0.0830 | | 0.2597 | 0.71 | 1000 | 0.0510 | | 0.2546 | 0.72 | 1010 | 0.0990 | | 0.2765 | 0.73 | 1020 | 0.0718 | | 0.1772 | 0.73 | 1030 | 0.0505 | | 0.2669 | 0.74 | 1040 | 0.0916 | | 0.2215 | 0.75 | 1050 | 0.0609 | | 0.2295 | 0.76 | 1060 | 0.0799 | | 0.2413 | 0.76 | 1070 | 0.0573 | | 0.2022 | 0.77 | 1080 | 0.0636 | | 0.2539 | 0.78 | 1090 | 0.1083 | | 0.2061 | 0.78 | 1100 | 0.0570 | | 0.2561 | 0.79 | 1110 | 0.0522 | | 0.2606 | 0.8 | 1120 | 0.0721 | | 0.2368 | 0.81 | 1130 | 0.0514 | | 0.2789 | 0.81 | 1140 | 0.0557 | | 0.1802 | 0.82 | 1150 | 0.0945 | | 0.27 | 0.83 | 1160 | 0.0987 | | 0.2445 | 0.83 | 1170 | 0.0521 | | 0.1911 | 0.84 | 1180 | 0.0461 | | 0.2336 | 0.85 | 1190 | 0.0457 | | 0.1881 | 0.86 | 1200 | 0.0653 | | 0.2039 | 0.86 | 1210 | 0.0821 | | 0.2503 | 0.87 | 1220 | 0.0493 | | 0.2153 | 0.88 | 1230 | 0.0492 | | 0.2307 | 0.88 | 1240 | 0.0691 | | 0.1854 | 0.89 | 1250 | 0.0486 | | 0.1896 | 0.9 | 1260 | 0.0575 | | 0.2321 | 0.91 | 1270 | 0.0546 | | 0.195 | 0.91 | 1280 | 0.0506 | | 0.2457 | 0.92 | 1290 | 0.0556 | | 0.15 | 0.93 | 1300 | 0.0525 | | 0.2567 | 0.93 | 1310 | 0.0499 | | 0.2352 | 0.94 | 1320 | 0.0524 | | 0.2018 | 0.95 | 1330 | 0.0581 | | 0.1591 | 0.96 | 1340 | 0.0549 | | 0.2454 | 0.96 | 1350 | 0.0534 | | 0.1595 | 0.97 | 1360 | 0.0525 | | 0.179 | 0.98 | 1370 | 0.0524 | | 0.19 | 0.98 | 1380 | 0.0512 | | 0.1571 | 0.99 | 1390 | 0.0515 | | 0.1611 | 1.0 | 1400 | 0.0522 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.1.2 - Datasets 2.1.0 - Tokenizers 0.15.2