metadata
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 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