akk-en-UBC-NLP/AraT5v2-base-1024
Browse files- README.md +337 -0
- added_tokens.json +0 -0
- config.json +33 -0
- generation_config.json +7 -0
- model.safetensors +3 -0
- special_tokens_map.json +125 -0
- spiece.model +3 -0
- tokenizer_config.json +0 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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| 2 |
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base_model: UBC-NLP/AraT5v2-base-1024
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tags:
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| 4 |
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- generated_from_trainer
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+
model-index:
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- name: AraT5v2-base-1024-p-l-akk-en-20240712-212743
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| 7 |
+
results: []
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| 8 |
+
---
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| 9 |
+
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| 10 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 11 |
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should probably proofread and complete it, then remove this comment. -->
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| 12 |
+
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| 13 |
+
# AraT5v2-base-1024-p-l-akk-en-20240712-212743
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| 14 |
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| 15 |
+
This model is a fine-tuned version of [UBC-NLP/AraT5v2-base-1024](https://huggingface.co/UBC-NLP/AraT5v2-base-1024) on the None dataset.
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+
It achieves the following results on the evaluation set:
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- Loss: 0.1234
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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| 28 |
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More information needed
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## Training procedure
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| 32 |
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 4e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 25
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### Training results
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| 45 |
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| Training Loss | Epoch | Step | Validation Loss |
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| 47 |
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|:-------------:|:-------:|:------:|:---------------:|
|
| 48 |
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| 7.7733 | 0.0884 | 500 | 0.7064 |
|
| 49 |
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| 0.5896 | 0.1767 | 1000 | 0.4223 |
|
| 50 |
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| 0.3694 | 0.2651 | 1500 | 0.3706 |
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| 51 |
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| 0.2998 | 0.3535 | 2000 | 0.3643 |
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| 52 |
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| 0.2951 | 0.4419 | 2500 | 0.2568 |
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| 53 |
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| 0.275 | 0.5302 | 3000 | 0.2534 |
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| 54 |
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| 0.2594 | 0.6186 | 3500 | 0.2449 |
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| 55 |
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| 0.2538 | 0.7070 | 4000 | 0.2313 |
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| 56 |
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| 0.2505 | 0.7953 | 4500 | 0.2303 |
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| 57 |
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| 0.2559 | 0.8837 | 5000 | 0.2237 |
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| 58 |
+
| 0.2449 | 0.9721 | 5500 | 0.2190 |
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| 59 |
+
| 0.2443 | 1.0604 | 6000 | 0.2165 |
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| 60 |
+
| 0.2334 | 1.1488 | 6500 | 0.2142 |
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| 61 |
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| 0.2373 | 1.2372 | 7000 | 0.2116 |
|
| 62 |
+
| 0.2239 | 1.3256 | 7500 | 0.2103 |
|
| 63 |
+
| 0.2261 | 1.4139 | 8000 | 0.2079 |
|
| 64 |
+
| 0.2249 | 1.5023 | 8500 | 0.2057 |
|
| 65 |
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| 0.2232 | 1.5907 | 9000 | 0.2055 |
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| 66 |
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| 0.214 | 1.6790 | 9500 | 0.2023 |
|
| 67 |
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| 0.2176 | 1.7674 | 10000 | 0.2008 |
|
| 68 |
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| 0.2062 | 1.8558 | 10500 | 0.1991 |
|
| 69 |
+
| 0.2132 | 1.9441 | 11000 | 0.1980 |
|
| 70 |
+
| 0.2016 | 2.0325 | 11500 | 0.2008 |
|
| 71 |
+
| 0.2103 | 2.1209 | 12000 | 0.2001 |
|
| 72 |
+
| 0.2611 | 2.2093 | 12500 | 0.1967 |
|
| 73 |
+
| 0.2045 | 2.2976 | 13000 | 0.1945 |
|
| 74 |
+
| 0.2027 | 2.3860 | 13500 | 0.1924 |
|
| 75 |
+
| 0.1992 | 2.4744 | 14000 | 0.1913 |
|
| 76 |
+
| 0.2019 | 2.5627 | 14500 | 0.1903 |
|
| 77 |
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| 0.1985 | 2.6511 | 15000 | 0.1890 |
|
| 78 |
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| 0.1936 | 2.7395 | 15500 | 0.1888 |
|
| 79 |
+
| 0.1981 | 2.8279 | 16000 | 0.1870 |
|
| 80 |
+
| 0.1986 | 2.9162 | 16500 | 0.1866 |
|
| 81 |
+
| 0.1919 | 3.0046 | 17000 | 0.1847 |
|
| 82 |
+
| 0.1888 | 3.0930 | 17500 | 0.1839 |
|
| 83 |
+
| 0.1957 | 3.1813 | 18000 | 0.1834 |
|
| 84 |
+
| 0.1919 | 3.2697 | 18500 | 0.1820 |
|
| 85 |
+
| 0.1845 | 3.3581 | 19000 | 0.1811 |
|
| 86 |
+
| 0.1924 | 3.4464 | 19500 | 0.1804 |
|
| 87 |
+
| 0.1861 | 3.5348 | 20000 | 0.1793 |
|
| 88 |
+
| 0.1773 | 3.6232 | 20500 | 0.1777 |
|
| 89 |
+
| 0.1826 | 3.7116 | 21000 | 0.1782 |
|
| 90 |
+
| 0.19 | 3.7999 | 21500 | 0.1765 |
|
| 91 |
+
| 0.1827 | 3.8883 | 22000 | 0.1752 |
|
| 92 |
+
| 0.1848 | 3.9767 | 22500 | 0.1751 |
|
| 93 |
+
| 0.1828 | 4.0650 | 23000 | 0.1736 |
|
| 94 |
+
| 0.1759 | 4.1534 | 23500 | 0.1741 |
|
| 95 |
+
| 0.179 | 4.2418 | 24000 | 0.1723 |
|
| 96 |
+
| 0.1812 | 4.3302 | 24500 | 0.1722 |
|
| 97 |
+
| 0.1788 | 4.4185 | 25000 | 0.1711 |
|
| 98 |
+
| 0.1808 | 4.5069 | 25500 | 0.1705 |
|
| 99 |
+
| 0.1757 | 4.5953 | 26000 | 0.1693 |
|
| 100 |
+
| 0.1694 | 4.6836 | 26500 | 0.1687 |
|
| 101 |
+
| 0.1701 | 4.7720 | 27000 | 0.1681 |
|
| 102 |
+
| 0.179 | 4.8604 | 27500 | 0.1676 |
|
| 103 |
+
| 0.1771 | 4.9487 | 28000 | 0.1664 |
|
| 104 |
+
| 0.1753 | 5.0371 | 28500 | 0.1665 |
|
| 105 |
+
| 0.1726 | 5.1255 | 29000 | 0.1653 |
|
| 106 |
+
| 0.1683 | 5.2139 | 29500 | 0.1644 |
|
| 107 |
+
| 0.1639 | 5.3022 | 30000 | 0.1641 |
|
| 108 |
+
| 0.1688 | 5.3906 | 30500 | 0.1637 |
|
| 109 |
+
| 0.1675 | 5.4790 | 31000 | 0.1631 |
|
| 110 |
+
| 0.1679 | 5.5673 | 31500 | 0.1622 |
|
| 111 |
+
| 0.1701 | 5.6557 | 32000 | 0.1619 |
|
| 112 |
+
| 0.1672 | 5.7441 | 32500 | 0.1613 |
|
| 113 |
+
| 0.1661 | 5.8324 | 33000 | 0.1604 |
|
| 114 |
+
| 0.1677 | 5.9208 | 33500 | 0.1595 |
|
| 115 |
+
| 0.1689 | 6.0092 | 34000 | 0.1595 |
|
| 116 |
+
| 0.1678 | 6.0976 | 34500 | 0.1590 |
|
| 117 |
+
| 0.165 | 6.1859 | 35000 | 0.1587 |
|
| 118 |
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| 0.1636 | 6.2743 | 35500 | 0.1585 |
|
| 119 |
+
| 0.1641 | 6.3627 | 36000 | 0.1575 |
|
| 120 |
+
| 0.1598 | 6.4510 | 36500 | 0.1573 |
|
| 121 |
+
| 0.1563 | 6.5394 | 37000 | 0.1566 |
|
| 122 |
+
| 0.1612 | 6.6278 | 37500 | 0.1572 |
|
| 123 |
+
| 0.1668 | 6.7162 | 38000 | 0.1556 |
|
| 124 |
+
| 0.1625 | 6.8045 | 38500 | 0.1552 |
|
| 125 |
+
| 0.1561 | 6.8929 | 39000 | 0.1540 |
|
| 126 |
+
| 0.1571 | 6.9813 | 39500 | 0.1544 |
|
| 127 |
+
| 0.1628 | 7.0696 | 40000 | 0.1540 |
|
| 128 |
+
| 0.1582 | 7.1580 | 40500 | 0.1535 |
|
| 129 |
+
| 0.1481 | 7.2464 | 41000 | 0.1535 |
|
| 130 |
+
| 0.1537 | 7.3347 | 41500 | 0.1525 |
|
| 131 |
+
| 0.159 | 7.4231 | 42000 | 0.1519 |
|
| 132 |
+
| 0.1579 | 7.5115 | 42500 | 0.1512 |
|
| 133 |
+
| 0.1595 | 7.5999 | 43000 | 0.1518 |
|
| 134 |
+
| 0.1578 | 7.6882 | 43500 | 0.1504 |
|
| 135 |
+
| 0.1514 | 7.7766 | 44000 | 0.1505 |
|
| 136 |
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| 0.1534 | 7.8650 | 44500 | 0.1501 |
|
| 137 |
+
| 0.157 | 7.9533 | 45000 | 0.1500 |
|
| 138 |
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| 0.1558 | 8.0417 | 45500 | 0.1495 |
|
| 139 |
+
| 0.1545 | 8.1301 | 46000 | 0.1496 |
|
| 140 |
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| 0.1506 | 8.2185 | 46500 | 0.1490 |
|
| 141 |
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| 0.1525 | 8.3068 | 47000 | 0.1482 |
|
| 142 |
+
| 0.1546 | 8.3952 | 47500 | 0.1476 |
|
| 143 |
+
| 0.1544 | 8.4836 | 48000 | 0.1475 |
|
| 144 |
+
| 0.1482 | 8.5719 | 48500 | 0.1472 |
|
| 145 |
+
| 0.1483 | 8.6603 | 49000 | 0.1472 |
|
| 146 |
+
| 0.1455 | 8.7487 | 49500 | 0.1467 |
|
| 147 |
+
| 0.1514 | 8.8370 | 50000 | 0.1458 |
|
| 148 |
+
| 0.1537 | 8.9254 | 50500 | 0.1464 |
|
| 149 |
+
| 0.1508 | 9.0138 | 51000 | 0.1458 |
|
| 150 |
+
| 0.1428 | 9.1022 | 51500 | 0.1450 |
|
| 151 |
+
| 0.1478 | 9.1905 | 52000 | 0.1461 |
|
| 152 |
+
| 0.1472 | 9.2789 | 52500 | 0.1449 |
|
| 153 |
+
| 0.1498 | 9.3673 | 53000 | 0.1443 |
|
| 154 |
+
| 0.1502 | 9.4556 | 53500 | 0.1443 |
|
| 155 |
+
| 0.1458 | 9.5440 | 54000 | 0.1441 |
|
| 156 |
+
| 0.1441 | 9.6324 | 54500 | 0.1433 |
|
| 157 |
+
| 0.1525 | 9.7207 | 55000 | 0.1434 |
|
| 158 |
+
| 0.148 | 9.8091 | 55500 | 0.1426 |
|
| 159 |
+
| 0.1458 | 9.8975 | 56000 | 0.1429 |
|
| 160 |
+
| 0.1476 | 9.9859 | 56500 | 0.1425 |
|
| 161 |
+
| 0.1413 | 10.0742 | 57000 | 0.1426 |
|
| 162 |
+
| 0.1488 | 10.1626 | 57500 | 0.1421 |
|
| 163 |
+
| 0.1457 | 10.2510 | 58000 | 0.1415 |
|
| 164 |
+
| 0.1429 | 10.3393 | 58500 | 0.1417 |
|
| 165 |
+
| 0.1382 | 10.4277 | 59000 | 0.1416 |
|
| 166 |
+
| 0.1466 | 10.5161 | 59500 | 0.1413 |
|
| 167 |
+
| 0.1412 | 10.6045 | 60000 | 0.1410 |
|
| 168 |
+
| 0.1447 | 10.6928 | 60500 | 0.1408 |
|
| 169 |
+
| 0.1426 | 10.7812 | 61000 | 0.1406 |
|
| 170 |
+
| 0.1488 | 10.8696 | 61500 | 0.1402 |
|
| 171 |
+
| 0.1402 | 10.9579 | 62000 | 0.1396 |
|
| 172 |
+
| 0.1385 | 11.0463 | 62500 | 0.1393 |
|
| 173 |
+
| 0.1415 | 11.1347 | 63000 | 0.1390 |
|
| 174 |
+
| 0.1429 | 11.2230 | 63500 | 0.1397 |
|
| 175 |
+
| 0.1415 | 11.3114 | 64000 | 0.1389 |
|
| 176 |
+
| 0.1407 | 11.3998 | 64500 | 0.1387 |
|
| 177 |
+
| 0.1349 | 11.4882 | 65000 | 0.1384 |
|
| 178 |
+
| 0.1418 | 11.5765 | 65500 | 0.1388 |
|
| 179 |
+
| 0.1394 | 11.6649 | 66000 | 0.1378 |
|
| 180 |
+
| 0.1415 | 11.7533 | 66500 | 0.1376 |
|
| 181 |
+
| 0.134 | 11.8416 | 67000 | 0.1373 |
|
| 182 |
+
| 0.1435 | 11.9300 | 67500 | 0.1370 |
|
| 183 |
+
| 0.1386 | 12.0184 | 68000 | 0.1373 |
|
| 184 |
+
| 0.1295 | 12.1068 | 68500 | 0.1368 |
|
| 185 |
+
| 0.1379 | 12.1951 | 69000 | 0.1365 |
|
| 186 |
+
| 0.1436 | 12.2835 | 69500 | 0.1368 |
|
| 187 |
+
| 0.1312 | 12.3719 | 70000 | 0.1361 |
|
| 188 |
+
| 0.139 | 12.4602 | 70500 | 0.1358 |
|
| 189 |
+
| 0.1395 | 12.5486 | 71000 | 0.1358 |
|
| 190 |
+
| 0.1317 | 12.6370 | 71500 | 0.1356 |
|
| 191 |
+
| 0.1445 | 12.7253 | 72000 | 0.1352 |
|
| 192 |
+
| 0.1394 | 12.8137 | 72500 | 0.1355 |
|
| 193 |
+
| 0.1351 | 12.9021 | 73000 | 0.1346 |
|
| 194 |
+
| 0.1369 | 12.9905 | 73500 | 0.1347 |
|
| 195 |
+
| 0.1328 | 13.0788 | 74000 | 0.1352 |
|
| 196 |
+
| 0.132 | 13.1672 | 74500 | 0.1347 |
|
| 197 |
+
| 0.137 | 13.2556 | 75000 | 0.1344 |
|
| 198 |
+
| 0.1382 | 13.3439 | 75500 | 0.1342 |
|
| 199 |
+
| 0.1346 | 13.4323 | 76000 | 0.1334 |
|
| 200 |
+
| 0.1322 | 13.5207 | 76500 | 0.1334 |
|
| 201 |
+
| 0.1354 | 13.6090 | 77000 | 0.1333 |
|
| 202 |
+
| 0.1322 | 13.6974 | 77500 | 0.1335 |
|
| 203 |
+
| 0.1304 | 13.7858 | 78000 | 0.1331 |
|
| 204 |
+
| 0.1332 | 13.8742 | 78500 | 0.1332 |
|
| 205 |
+
| 0.136 | 13.9625 | 79000 | 0.1326 |
|
| 206 |
+
| 0.1361 | 14.0509 | 79500 | 0.1329 |
|
| 207 |
+
| 0.1324 | 14.1393 | 80000 | 0.1328 |
|
| 208 |
+
| 0.1321 | 14.2276 | 80500 | 0.1321 |
|
| 209 |
+
| 0.1349 | 14.3160 | 81000 | 0.1320 |
|
| 210 |
+
| 0.1336 | 14.4044 | 81500 | 0.1323 |
|
| 211 |
+
| 0.1272 | 14.4928 | 82000 | 0.1318 |
|
| 212 |
+
| 0.1317 | 14.5811 | 82500 | 0.1316 |
|
| 213 |
+
| 0.1274 | 14.6695 | 83000 | 0.1317 |
|
| 214 |
+
| 0.1331 | 14.7579 | 83500 | 0.1312 |
|
| 215 |
+
| 0.132 | 14.8462 | 84000 | 0.1312 |
|
| 216 |
+
| 0.1318 | 14.9346 | 84500 | 0.1307 |
|
| 217 |
+
| 0.128 | 15.0230 | 85000 | 0.1305 |
|
| 218 |
+
| 0.1282 | 15.1113 | 85500 | 0.1307 |
|
| 219 |
+
| 0.128 | 15.1997 | 86000 | 0.1305 |
|
| 220 |
+
| 0.1359 | 15.2881 | 86500 | 0.1304 |
|
| 221 |
+
| 0.1269 | 15.3765 | 87000 | 0.1304 |
|
| 222 |
+
| 0.1237 | 15.4648 | 87500 | 0.1303 |
|
| 223 |
+
| 0.1372 | 15.5532 | 88000 | 0.1302 |
|
| 224 |
+
| 0.1343 | 15.6416 | 88500 | 0.1300 |
|
| 225 |
+
| 0.1336 | 15.7299 | 89000 | 0.1297 |
|
| 226 |
+
| 0.1258 | 15.8183 | 89500 | 0.1295 |
|
| 227 |
+
| 0.1225 | 15.9067 | 90000 | 0.1298 |
|
| 228 |
+
| 0.1285 | 15.9951 | 90500 | 0.1291 |
|
| 229 |
+
| 0.1254 | 16.0834 | 91000 | 0.1295 |
|
| 230 |
+
| 0.1283 | 16.1718 | 91500 | 0.1294 |
|
| 231 |
+
| 0.1257 | 16.2602 | 92000 | 0.1297 |
|
| 232 |
+
| 0.1279 | 16.3485 | 92500 | 0.1292 |
|
| 233 |
+
| 0.1304 | 16.4369 | 93000 | 0.1291 |
|
| 234 |
+
| 0.1253 | 16.5253 | 93500 | 0.1290 |
|
| 235 |
+
| 0.1181 | 16.6136 | 94000 | 0.1285 |
|
| 236 |
+
| 0.1293 | 16.7020 | 94500 | 0.1287 |
|
| 237 |
+
| 0.1271 | 16.7904 | 95000 | 0.1293 |
|
| 238 |
+
| 0.1274 | 16.8788 | 95500 | 0.1287 |
|
| 239 |
+
| 0.1331 | 16.9671 | 96000 | 0.1284 |
|
| 240 |
+
| 0.1338 | 17.0555 | 96500 | 0.1286 |
|
| 241 |
+
| 0.1297 | 17.1439 | 97000 | 0.1283 |
|
| 242 |
+
| 0.1227 | 17.2322 | 97500 | 0.1280 |
|
| 243 |
+
| 0.1226 | 17.3206 | 98000 | 0.1280 |
|
| 244 |
+
| 0.1255 | 17.4090 | 98500 | 0.1280 |
|
| 245 |
+
| 0.1266 | 17.4973 | 99000 | 0.1277 |
|
| 246 |
+
| 0.1247 | 17.5857 | 99500 | 0.1274 |
|
| 247 |
+
| 0.1254 | 17.6741 | 100000 | 0.1275 |
|
| 248 |
+
| 0.1193 | 17.7625 | 100500 | 0.1277 |
|
| 249 |
+
| 0.1279 | 17.8508 | 101000 | 0.1276 |
|
| 250 |
+
| 0.1251 | 17.9392 | 101500 | 0.1270 |
|
| 251 |
+
| 0.1264 | 18.0276 | 102000 | 0.1271 |
|
| 252 |
+
| 0.1249 | 18.1159 | 102500 | 0.1270 |
|
| 253 |
+
| 0.1279 | 18.2043 | 103000 | 0.1267 |
|
| 254 |
+
| 0.1254 | 18.2927 | 103500 | 0.1266 |
|
| 255 |
+
| 0.1276 | 18.3811 | 104000 | 0.1269 |
|
| 256 |
+
| 0.1165 | 18.4694 | 104500 | 0.1263 |
|
| 257 |
+
| 0.122 | 18.5578 | 105000 | 0.1265 |
|
| 258 |
+
| 0.1281 | 18.6462 | 105500 | 0.1261 |
|
| 259 |
+
| 0.1224 | 18.7345 | 106000 | 0.1265 |
|
| 260 |
+
| 0.1209 | 18.8229 | 106500 | 0.1264 |
|
| 261 |
+
| 0.1233 | 18.9113 | 107000 | 0.1264 |
|
| 262 |
+
| 0.1218 | 18.9996 | 107500 | 0.1256 |
|
| 263 |
+
| 0.1217 | 19.0880 | 108000 | 0.1261 |
|
| 264 |
+
| 0.1227 | 19.1764 | 108500 | 0.1265 |
|
| 265 |
+
| 0.1303 | 19.2648 | 109000 | 0.1263 |
|
| 266 |
+
| 0.1188 | 19.3531 | 109500 | 0.1258 |
|
| 267 |
+
| 0.1221 | 19.4415 | 110000 | 0.1260 |
|
| 268 |
+
| 0.1249 | 19.5299 | 110500 | 0.1261 |
|
| 269 |
+
| 0.1295 | 19.6182 | 111000 | 0.1257 |
|
| 270 |
+
| 0.1226 | 19.7066 | 111500 | 0.1252 |
|
| 271 |
+
| 0.1199 | 19.7950 | 112000 | 0.1253 |
|
| 272 |
+
| 0.1177 | 19.8834 | 112500 | 0.1253 |
|
| 273 |
+
| 0.1193 | 19.9717 | 113000 | 0.1255 |
|
| 274 |
+
| 0.1181 | 20.0601 | 113500 | 0.1256 |
|
| 275 |
+
| 0.1207 | 20.1485 | 114000 | 0.1256 |
|
| 276 |
+
| 0.1235 | 20.2368 | 114500 | 0.1257 |
|
| 277 |
+
| 0.1209 | 20.3252 | 115000 | 0.1253 |
|
| 278 |
+
| 0.115 | 20.4136 | 115500 | 0.1251 |
|
| 279 |
+
| 0.1176 | 20.5019 | 116000 | 0.1252 |
|
| 280 |
+
| 0.1215 | 20.5903 | 116500 | 0.1249 |
|
| 281 |
+
| 0.124 | 20.6787 | 117000 | 0.1247 |
|
| 282 |
+
| 0.1211 | 20.7671 | 117500 | 0.1245 |
|
| 283 |
+
| 0.1222 | 20.8554 | 118000 | 0.1246 |
|
| 284 |
+
| 0.1205 | 20.9438 | 118500 | 0.1248 |
|
| 285 |
+
| 0.1251 | 21.0322 | 119000 | 0.1248 |
|
| 286 |
+
| 0.1212 | 21.1205 | 119500 | 0.1243 |
|
| 287 |
+
| 0.1151 | 21.2089 | 120000 | 0.1247 |
|
| 288 |
+
| 0.1197 | 21.2973 | 120500 | 0.1246 |
|
| 289 |
+
| 0.122 | 21.3856 | 121000 | 0.1248 |
|
| 290 |
+
| 0.1226 | 21.4740 | 121500 | 0.1248 |
|
| 291 |
+
| 0.1214 | 21.5624 | 122000 | 0.1247 |
|
| 292 |
+
| 0.1232 | 21.6508 | 122500 | 0.1242 |
|
| 293 |
+
| 0.118 | 21.7391 | 123000 | 0.1245 |
|
| 294 |
+
| 0.1179 | 21.8275 | 123500 | 0.1242 |
|
| 295 |
+
| 0.1201 | 21.9159 | 124000 | 0.1243 |
|
| 296 |
+
| 0.1205 | 22.0042 | 124500 | 0.1245 |
|
| 297 |
+
| 0.1182 | 22.0926 | 125000 | 0.1242 |
|
| 298 |
+
| 0.115 | 22.1810 | 125500 | 0.1243 |
|
| 299 |
+
| 0.1203 | 22.2694 | 126000 | 0.1239 |
|
| 300 |
+
| 0.1184 | 22.3577 | 126500 | 0.1240 |
|
| 301 |
+
| 0.1221 | 22.4461 | 127000 | 0.1239 |
|
| 302 |
+
| 0.1214 | 22.5345 | 127500 | 0.1238 |
|
| 303 |
+
| 0.1183 | 22.6228 | 128000 | 0.1239 |
|
| 304 |
+
| 0.1188 | 22.7112 | 128500 | 0.1242 |
|
| 305 |
+
| 0.1181 | 22.7996 | 129000 | 0.1237 |
|
| 306 |
+
| 0.1172 | 22.8879 | 129500 | 0.1237 |
|
| 307 |
+
| 0.122 | 22.9763 | 130000 | 0.1236 |
|
| 308 |
+
| 0.1194 | 23.0647 | 130500 | 0.1239 |
|
| 309 |
+
| 0.1171 | 23.1531 | 131000 | 0.1238 |
|
| 310 |
+
| 0.1178 | 23.2414 | 131500 | 0.1238 |
|
| 311 |
+
| 0.1192 | 23.3298 | 132000 | 0.1239 |
|
| 312 |
+
| 0.1193 | 23.4182 | 132500 | 0.1238 |
|
| 313 |
+
| 0.1201 | 23.5065 | 133000 | 0.1235 |
|
| 314 |
+
| 0.1208 | 23.5949 | 133500 | 0.1234 |
|
| 315 |
+
| 0.1194 | 23.6833 | 134000 | 0.1235 |
|
| 316 |
+
| 0.1155 | 23.7717 | 134500 | 0.1235 |
|
| 317 |
+
| 0.1177 | 23.8600 | 135000 | 0.1233 |
|
| 318 |
+
| 0.1187 | 23.9484 | 135500 | 0.1235 |
|
| 319 |
+
| 0.1167 | 24.0368 | 136000 | 0.1236 |
|
| 320 |
+
| 0.116 | 24.1251 | 136500 | 0.1235 |
|
| 321 |
+
| 0.1151 | 24.2135 | 137000 | 0.1235 |
|
| 322 |
+
| 0.1204 | 24.3019 | 137500 | 0.1235 |
|
| 323 |
+
| 0.1105 | 24.3902 | 138000 | 0.1235 |
|
| 324 |
+
| 0.1211 | 24.4786 | 138500 | 0.1234 |
|
| 325 |
+
| 0.1192 | 24.5670 | 139000 | 0.1235 |
|
| 326 |
+
| 0.1188 | 24.6554 | 139500 | 0.1234 |
|
| 327 |
+
| 0.1245 | 24.7437 | 140000 | 0.1234 |
|
| 328 |
+
| 0.1177 | 24.8321 | 140500 | 0.1234 |
|
| 329 |
+
| 0.1209 | 24.9205 | 141000 | 0.1234 |
|
| 330 |
+
|
| 331 |
+
|
| 332 |
+
### Framework versions
|
| 333 |
+
|
| 334 |
+
- Transformers 4.41.2
|
| 335 |
+
- Pytorch 2.5.0.dev20240625
|
| 336 |
+
- Datasets 2.20.0
|
| 337 |
+
- Tokenizers 0.19.1
|
added_tokens.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
config.json
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "UBC-NLP/AraT5v2-base-1024",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"T5ForConditionalGeneration"
|
| 5 |
+
],
|
| 6 |
+
"classifier_dropout": 0.0,
|
| 7 |
+
"d_ff": 2048,
|
| 8 |
+
"d_kv": 64,
|
| 9 |
+
"d_model": 768,
|
| 10 |
+
"decoder_start_token_id": 0,
|
| 11 |
+
"dense_act_fn": "gelu_new",
|
| 12 |
+
"dropout_rate": 0.1,
|
| 13 |
+
"eos_token_id": 1,
|
| 14 |
+
"feed_forward_proj": "gated-gelu",
|
| 15 |
+
"initializer_factor": 1.0,
|
| 16 |
+
"is_encoder_decoder": true,
|
| 17 |
+
"is_gated_act": true,
|
| 18 |
+
"layer_norm_epsilon": 1e-06,
|
| 19 |
+
"model_type": "t5",
|
| 20 |
+
"num_decoder_layers": 12,
|
| 21 |
+
"num_heads": 12,
|
| 22 |
+
"num_layers": 12,
|
| 23 |
+
"output_past": true,
|
| 24 |
+
"pad_token_id": 0,
|
| 25 |
+
"relative_attention_max_distance": 128,
|
| 26 |
+
"relative_attention_num_buckets": 32,
|
| 27 |
+
"tie_word_embeddings": false,
|
| 28 |
+
"tokenizer_class": "T5Tokenizer",
|
| 29 |
+
"torch_dtype": "float32",
|
| 30 |
+
"transformers_version": "4.41.2",
|
| 31 |
+
"use_cache": true,
|
| 32 |
+
"vocab_size": 126982
|
| 33 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"decoder_start_token_id": 0,
|
| 4 |
+
"eos_token_id": 1,
|
| 5 |
+
"pad_token_id": 0,
|
| 6 |
+
"transformers_version": "4.41.2"
|
| 7 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:676f8cc36ab739ddb87096a61b350903c526d9d8cce2d5dbc75880c14cc10ff4
|
| 3 |
+
size 1573128048
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,125 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<extra_id_0>",
|
| 4 |
+
"<extra_id_1>",
|
| 5 |
+
"<extra_id_2>",
|
| 6 |
+
"<extra_id_3>",
|
| 7 |
+
"<extra_id_4>",
|
| 8 |
+
"<extra_id_5>",
|
| 9 |
+
"<extra_id_6>",
|
| 10 |
+
"<extra_id_7>",
|
| 11 |
+
"<extra_id_8>",
|
| 12 |
+
"<extra_id_9>",
|
| 13 |
+
"<extra_id_10>",
|
| 14 |
+
"<extra_id_11>",
|
| 15 |
+
"<extra_id_12>",
|
| 16 |
+
"<extra_id_13>",
|
| 17 |
+
"<extra_id_14>",
|
| 18 |
+
"<extra_id_15>",
|
| 19 |
+
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| 124 |
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}
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| 125 |
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}
|
spiece.model
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:180428eb8e88be6c7d259fb04c9eb3a1c552d799a76741bcd6ee34fa0bf64386
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size 2353338
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tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
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|
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|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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size 5304
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