Upload folder using huggingface_hub
Browse files- adapter_model.safetensors +1 -1
- optimizer.pt +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +6 -1206
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 92309112
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:91deaa0df19cb3a4603aed93b3ea53b071dfc7c0b2e4fdaaec06eb2240d2d81c
|
| 3 |
size 92309112
|
optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 184765003
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:18d99d58786c67973fe2041dabca67551378777424f0b36426db8c429e7ae955
|
| 3 |
size 184765003
|
rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14645
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3dbc0a5b32ad7d5de753e64fe048720f783b76e89c603c1c55e1c06734520c91
|
| 3 |
size 14645
|
scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1465
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:904ce4dc1d5cd57472f50779861a9053d20471c1dc9e146ec99c9316f40e0da7
|
| 3 |
size 1465
|
trainer_state.json
CHANGED
|
@@ -1,10 +1,10 @@
|
|
| 1 |
{
|
| 2 |
-
"best_global_step":
|
| 3 |
-
"best_metric": 0.
|
| 4 |
-
"best_model_checkpoint": "/content/drive/MyDrive/lora_model/outputs/task15_microsoft/Phi-4-mini-instruct/checkpoint-
|
| 5 |
-
"epoch":
|
| 6 |
"eval_steps": 1,
|
| 7 |
-
"global_step":
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
@@ -1508,1206 +1508,6 @@
|
|
| 1508 |
"eval_samples_per_second": 8.824,
|
| 1509 |
"eval_steps_per_second": 1.177,
|
| 1510 |
"step": 100
|
| 1511 |
-
},
|
| 1512 |
-
{
|
| 1513 |
-
"epoch": 5.315789473684211,
|
| 1514 |
-
"grad_norm": 0.8746724128723145,
|
| 1515 |
-
"learning_rate": 0.0003552336906070838,
|
| 1516 |
-
"loss": 0.4326,
|
| 1517 |
-
"step": 101
|
| 1518 |
-
},
|
| 1519 |
-
{
|
| 1520 |
-
"epoch": 5.315789473684211,
|
| 1521 |
-
"eval_loss": 0.4299829304218292,
|
| 1522 |
-
"eval_runtime": 3.3922,
|
| 1523 |
-
"eval_samples_per_second": 8.844,
|
| 1524 |
-
"eval_steps_per_second": 1.179,
|
| 1525 |
-
"step": 101
|
| 1526 |
-
},
|
| 1527 |
-
{
|
| 1528 |
-
"epoch": 5.368421052631579,
|
| 1529 |
-
"grad_norm": 0.8440446257591248,
|
| 1530 |
-
"learning_rate": 0.000352192771017753,
|
| 1531 |
-
"loss": 0.4344,
|
| 1532 |
-
"step": 102
|
| 1533 |
-
},
|
| 1534 |
-
{
|
| 1535 |
-
"epoch": 5.368421052631579,
|
| 1536 |
-
"eval_loss": 0.4243197739124298,
|
| 1537 |
-
"eval_runtime": 3.3935,
|
| 1538 |
-
"eval_samples_per_second": 8.84,
|
| 1539 |
-
"eval_steps_per_second": 1.179,
|
| 1540 |
-
"step": 102
|
| 1541 |
-
},
|
| 1542 |
-
{
|
| 1543 |
-
"epoch": 5.421052631578947,
|
| 1544 |
-
"grad_norm": 0.7834837436676025,
|
| 1545 |
-
"learning_rate": 0.0003491335881925407,
|
| 1546 |
-
"loss": 0.4662,
|
| 1547 |
-
"step": 103
|
| 1548 |
-
},
|
| 1549 |
-
{
|
| 1550 |
-
"epoch": 5.421052631578947,
|
| 1551 |
-
"eval_loss": 0.42057812213897705,
|
| 1552 |
-
"eval_runtime": 3.3965,
|
| 1553 |
-
"eval_samples_per_second": 8.833,
|
| 1554 |
-
"eval_steps_per_second": 1.178,
|
| 1555 |
-
"step": 103
|
| 1556 |
-
},
|
| 1557 |
-
{
|
| 1558 |
-
"epoch": 5.473684210526316,
|
| 1559 |
-
"grad_norm": 0.7472103834152222,
|
| 1560 |
-
"learning_rate": 0.0003460566888489593,
|
| 1561 |
-
"loss": 0.418,
|
| 1562 |
-
"step": 104
|
| 1563 |
-
},
|
| 1564 |
-
{
|
| 1565 |
-
"epoch": 5.473684210526316,
|
| 1566 |
-
"eval_loss": 0.4140828549861908,
|
| 1567 |
-
"eval_runtime": 3.3928,
|
| 1568 |
-
"eval_samples_per_second": 8.842,
|
| 1569 |
-
"eval_steps_per_second": 1.179,
|
| 1570 |
-
"step": 104
|
| 1571 |
-
},
|
| 1572 |
-
{
|
| 1573 |
-
"epoch": 5.526315789473684,
|
| 1574 |
-
"grad_norm": 0.8624552488327026,
|
| 1575 |
-
"learning_rate": 0.00034296262287070335,
|
| 1576 |
-
"loss": 0.3972,
|
| 1577 |
-
"step": 105
|
| 1578 |
-
},
|
| 1579 |
-
{
|
| 1580 |
-
"epoch": 5.526315789473684,
|
| 1581 |
-
"eval_loss": 0.4123520851135254,
|
| 1582 |
-
"eval_runtime": 3.3971,
|
| 1583 |
-
"eval_samples_per_second": 8.831,
|
| 1584 |
-
"eval_steps_per_second": 1.177,
|
| 1585 |
-
"step": 105
|
| 1586 |
-
},
|
| 1587 |
-
{
|
| 1588 |
-
"epoch": 5.578947368421053,
|
| 1589 |
-
"grad_norm": 0.8890901207923889,
|
| 1590 |
-
"learning_rate": 0.0003398519432093782,
|
| 1591 |
-
"loss": 0.4657,
|
| 1592 |
-
"step": 106
|
| 1593 |
-
},
|
| 1594 |
-
{
|
| 1595 |
-
"epoch": 5.578947368421053,
|
| 1596 |
-
"eval_loss": 0.40413472056388855,
|
| 1597 |
-
"eval_runtime": 3.3959,
|
| 1598 |
-
"eval_samples_per_second": 8.834,
|
| 1599 |
-
"eval_steps_per_second": 1.178,
|
| 1600 |
-
"step": 106
|
| 1601 |
-
},
|
| 1602 |
-
{
|
| 1603 |
-
"epoch": 5.631578947368421,
|
| 1604 |
-
"grad_norm": 0.7559741139411926,
|
| 1605 |
-
"learning_rate": 0.0003367252057856802,
|
| 1606 |
-
"loss": 0.4583,
|
| 1607 |
-
"step": 107
|
| 1608 |
-
},
|
| 1609 |
-
{
|
| 1610 |
-
"epoch": 5.631578947368421,
|
| 1611 |
-
"eval_loss": 0.3957214951515198,
|
| 1612 |
-
"eval_runtime": 3.3997,
|
| 1613 |
-
"eval_samples_per_second": 8.824,
|
| 1614 |
-
"eval_steps_per_second": 1.177,
|
| 1615 |
-
"step": 107
|
| 1616 |
-
},
|
| 1617 |
-
{
|
| 1618 |
-
"epoch": 5.684210526315789,
|
| 1619 |
-
"grad_norm": 0.7100098729133606,
|
| 1620 |
-
"learning_rate": 0.00033358296939004547,
|
| 1621 |
-
"loss": 0.4226,
|
| 1622 |
-
"step": 108
|
| 1623 |
-
},
|
| 1624 |
-
{
|
| 1625 |
-
"epoch": 5.684210526315789,
|
| 1626 |
-
"eval_loss": 0.3925686478614807,
|
| 1627 |
-
"eval_runtime": 3.3977,
|
| 1628 |
-
"eval_samples_per_second": 8.83,
|
| 1629 |
-
"eval_steps_per_second": 1.177,
|
| 1630 |
-
"step": 108
|
| 1631 |
-
},
|
| 1632 |
-
{
|
| 1633 |
-
"epoch": 5.7368421052631575,
|
| 1634 |
-
"grad_norm": 0.693897545337677,
|
| 1635 |
-
"learning_rate": 0.00033042579558278717,
|
| 1636 |
-
"loss": 0.4317,
|
| 1637 |
-
"step": 109
|
| 1638 |
-
},
|
| 1639 |
-
{
|
| 1640 |
-
"epoch": 5.7368421052631575,
|
| 1641 |
-
"eval_loss": 0.38951781392097473,
|
| 1642 |
-
"eval_runtime": 3.3988,
|
| 1643 |
-
"eval_samples_per_second": 8.827,
|
| 1644 |
-
"eval_steps_per_second": 1.177,
|
| 1645 |
-
"step": 109
|
| 1646 |
-
},
|
| 1647 |
-
{
|
| 1648 |
-
"epoch": 5.7894736842105265,
|
| 1649 |
-
"grad_norm": 0.8033037781715393,
|
| 1650 |
-
"learning_rate": 0.00032725424859373687,
|
| 1651 |
-
"loss": 0.4543,
|
| 1652 |
-
"step": 110
|
| 1653 |
-
},
|
| 1654 |
-
{
|
| 1655 |
-
"epoch": 5.7894736842105265,
|
| 1656 |
-
"eval_loss": 0.38237908482551575,
|
| 1657 |
-
"eval_runtime": 3.3962,
|
| 1658 |
-
"eval_samples_per_second": 8.833,
|
| 1659 |
-
"eval_steps_per_second": 1.178,
|
| 1660 |
-
"step": 110
|
| 1661 |
-
},
|
| 1662 |
-
{
|
| 1663 |
-
"epoch": 5.842105263157895,
|
| 1664 |
-
"grad_norm": 0.8621124625205994,
|
| 1665 |
-
"learning_rate": 0.0003240688952214085,
|
| 1666 |
-
"loss": 0.4746,
|
| 1667 |
-
"step": 111
|
| 1668 |
-
},
|
| 1669 |
-
{
|
| 1670 |
-
"epoch": 5.842105263157895,
|
| 1671 |
-
"eval_loss": 0.373757928609848,
|
| 1672 |
-
"eval_runtime": 3.3971,
|
| 1673 |
-
"eval_samples_per_second": 8.831,
|
| 1674 |
-
"eval_steps_per_second": 1.177,
|
| 1675 |
-
"step": 111
|
| 1676 |
-
},
|
| 1677 |
-
{
|
| 1678 |
-
"epoch": 5.894736842105263,
|
| 1679 |
-
"grad_norm": 0.8101131319999695,
|
| 1680 |
-
"learning_rate": 0.00032087030473170445,
|
| 1681 |
-
"loss": 0.3917,
|
| 1682 |
-
"step": 112
|
| 1683 |
-
},
|
| 1684 |
-
{
|
| 1685 |
-
"epoch": 5.894736842105263,
|
| 1686 |
-
"eval_loss": 0.3614272177219391,
|
| 1687 |
-
"eval_runtime": 3.39,
|
| 1688 |
-
"eval_samples_per_second": 8.85,
|
| 1689 |
-
"eval_steps_per_second": 1.18,
|
| 1690 |
-
"step": 112
|
| 1691 |
-
},
|
| 1692 |
-
{
|
| 1693 |
-
"epoch": 5.947368421052632,
|
| 1694 |
-
"grad_norm": 0.6941331624984741,
|
| 1695 |
-
"learning_rate": 0.00031765904875617973,
|
| 1696 |
-
"loss": 0.3344,
|
| 1697 |
-
"step": 113
|
| 1698 |
-
},
|
| 1699 |
-
{
|
| 1700 |
-
"epoch": 5.947368421052632,
|
| 1701 |
-
"eval_loss": 0.35045164823532104,
|
| 1702 |
-
"eval_runtime": 3.3993,
|
| 1703 |
-
"eval_samples_per_second": 8.825,
|
| 1704 |
-
"eval_steps_per_second": 1.177,
|
| 1705 |
-
"step": 113
|
| 1706 |
-
},
|
| 1707 |
-
{
|
| 1708 |
-
"epoch": 6.0,
|
| 1709 |
-
"grad_norm": 0.6586763262748718,
|
| 1710 |
-
"learning_rate": 0.00031443570118988356,
|
| 1711 |
-
"loss": 0.3539,
|
| 1712 |
-
"step": 114
|
| 1713 |
-
},
|
| 1714 |
-
{
|
| 1715 |
-
"epoch": 6.0,
|
| 1716 |
-
"eval_loss": 0.34484100341796875,
|
| 1717 |
-
"eval_runtime": 3.3948,
|
| 1718 |
-
"eval_samples_per_second": 8.837,
|
| 1719 |
-
"eval_steps_per_second": 1.178,
|
| 1720 |
-
"step": 114
|
| 1721 |
-
},
|
| 1722 |
-
{
|
| 1723 |
-
"epoch": 6.052631578947368,
|
| 1724 |
-
"grad_norm": 0.7052369713783264,
|
| 1725 |
-
"learning_rate": 0.00031120083808879663,
|
| 1726 |
-
"loss": 0.3257,
|
| 1727 |
-
"step": 115
|
| 1728 |
-
},
|
| 1729 |
-
{
|
| 1730 |
-
"epoch": 6.052631578947368,
|
| 1731 |
-
"eval_loss": 0.3385400176048279,
|
| 1732 |
-
"eval_runtime": 3.4041,
|
| 1733 |
-
"eval_samples_per_second": 8.813,
|
| 1734 |
-
"eval_steps_per_second": 1.175,
|
| 1735 |
-
"step": 115
|
| 1736 |
-
},
|
| 1737 |
-
{
|
| 1738 |
-
"epoch": 6.105263157894737,
|
| 1739 |
-
"grad_norm": 0.8040263056755066,
|
| 1740 |
-
"learning_rate": 0.0003079550375668821,
|
| 1741 |
-
"loss": 0.335,
|
| 1742 |
-
"step": 116
|
| 1743 |
-
},
|
| 1744 |
-
{
|
| 1745 |
-
"epoch": 6.105263157894737,
|
| 1746 |
-
"eval_loss": 0.3320732116699219,
|
| 1747 |
-
"eval_runtime": 3.4012,
|
| 1748 |
-
"eval_samples_per_second": 8.82,
|
| 1749 |
-
"eval_steps_per_second": 1.176,
|
| 1750 |
-
"step": 116
|
| 1751 |
-
},
|
| 1752 |
-
{
|
| 1753 |
-
"epoch": 6.157894736842105,
|
| 1754 |
-
"grad_norm": 0.9117230772972107,
|
| 1755 |
-
"learning_rate": 0.00030469887969276877,
|
| 1756 |
-
"loss": 0.3133,
|
| 1757 |
-
"step": 117
|
| 1758 |
-
},
|
| 1759 |
-
{
|
| 1760 |
-
"epoch": 6.157894736842105,
|
| 1761 |
-
"eval_loss": 0.328256756067276,
|
| 1762 |
-
"eval_runtime": 3.4045,
|
| 1763 |
-
"eval_samples_per_second": 8.812,
|
| 1764 |
-
"eval_steps_per_second": 1.175,
|
| 1765 |
-
"step": 117
|
| 1766 |
-
},
|
| 1767 |
-
{
|
| 1768 |
-
"epoch": 6.2105263157894735,
|
| 1769 |
-
"grad_norm": 0.8745028972625732,
|
| 1770 |
-
"learning_rate": 0.00030143294638608487,
|
| 1771 |
-
"loss": 0.2972,
|
| 1772 |
-
"step": 118
|
| 1773 |
-
},
|
| 1774 |
-
{
|
| 1775 |
-
"epoch": 6.2105263157894735,
|
| 1776 |
-
"eval_loss": 0.3161332905292511,
|
| 1777 |
-
"eval_runtime": 3.3982,
|
| 1778 |
-
"eval_samples_per_second": 8.828,
|
| 1779 |
-
"eval_steps_per_second": 1.177,
|
| 1780 |
-
"step": 118
|
| 1781 |
-
},
|
| 1782 |
-
{
|
| 1783 |
-
"epoch": 6.2631578947368425,
|
| 1784 |
-
"grad_norm": 0.893980085849762,
|
| 1785 |
-
"learning_rate": 0.00029815782131346137,
|
| 1786 |
-
"loss": 0.3135,
|
| 1787 |
-
"step": 119
|
| 1788 |
-
},
|
| 1789 |
-
{
|
| 1790 |
-
"epoch": 6.2631578947368425,
|
| 1791 |
-
"eval_loss": 0.3072938621044159,
|
| 1792 |
-
"eval_runtime": 3.3977,
|
| 1793 |
-
"eval_samples_per_second": 8.83,
|
| 1794 |
-
"eval_steps_per_second": 1.177,
|
| 1795 |
-
"step": 119
|
| 1796 |
-
},
|
| 1797 |
-
{
|
| 1798 |
-
"epoch": 6.315789473684211,
|
| 1799 |
-
"grad_norm": 0.8993279337882996,
|
| 1800 |
-
"learning_rate": 0.0002948740897842223,
|
| 1801 |
-
"loss": 0.2965,
|
| 1802 |
-
"step": 120
|
| 1803 |
-
},
|
| 1804 |
-
{
|
| 1805 |
-
"epoch": 6.315789473684211,
|
| 1806 |
-
"eval_loss": 0.3108386695384979,
|
| 1807 |
-
"eval_runtime": 3.3904,
|
| 1808 |
-
"eval_samples_per_second": 8.849,
|
| 1809 |
-
"eval_steps_per_second": 1.18,
|
| 1810 |
-
"step": 120
|
| 1811 |
-
},
|
| 1812 |
-
{
|
| 1813 |
-
"epoch": 6.368421052631579,
|
| 1814 |
-
"grad_norm": 0.8741037845611572,
|
| 1815 |
-
"learning_rate": 0.00029158233864578256,
|
| 1816 |
-
"loss": 0.2753,
|
| 1817 |
-
"step": 121
|
| 1818 |
-
},
|
| 1819 |
-
{
|
| 1820 |
-
"epoch": 6.368421052631579,
|
| 1821 |
-
"eval_loss": 0.31585294008255005,
|
| 1822 |
-
"eval_runtime": 3.3843,
|
| 1823 |
-
"eval_samples_per_second": 8.865,
|
| 1824 |
-
"eval_steps_per_second": 1.182,
|
| 1825 |
-
"step": 121
|
| 1826 |
-
},
|
| 1827 |
-
{
|
| 1828 |
-
"epoch": 6.421052631578947,
|
| 1829 |
-
"grad_norm": 0.8745630979537964,
|
| 1830 |
-
"learning_rate": 0.00028828315617877,
|
| 1831 |
-
"loss": 0.305,
|
| 1832 |
-
"step": 122
|
| 1833 |
-
},
|
| 1834 |
-
{
|
| 1835 |
-
"epoch": 6.421052631578947,
|
| 1836 |
-
"eval_loss": 0.31079187989234924,
|
| 1837 |
-
"eval_runtime": 3.3933,
|
| 1838 |
-
"eval_samples_per_second": 8.841,
|
| 1839 |
-
"eval_steps_per_second": 1.179,
|
| 1840 |
-
"step": 122
|
| 1841 |
-
},
|
| 1842 |
-
{
|
| 1843 |
-
"epoch": 6.473684210526316,
|
| 1844 |
-
"grad_norm": 0.8834717869758606,
|
| 1845 |
-
"learning_rate": 0.0002849771319918922,
|
| 1846 |
-
"loss": 0.3354,
|
| 1847 |
-
"step": 123
|
| 1848 |
-
},
|
| 1849 |
-
{
|
| 1850 |
-
"epoch": 6.473684210526316,
|
| 1851 |
-
"eval_loss": 0.30564117431640625,
|
| 1852 |
-
"eval_runtime": 3.3954,
|
| 1853 |
-
"eval_samples_per_second": 8.836,
|
| 1854 |
-
"eval_steps_per_second": 1.178,
|
| 1855 |
-
"step": 123
|
| 1856 |
-
},
|
| 1857 |
-
{
|
| 1858 |
-
"epoch": 6.526315789473684,
|
| 1859 |
-
"grad_norm": 0.8826112151145935,
|
| 1860 |
-
"learning_rate": 0.00028166485691656423,
|
| 1861 |
-
"loss": 0.301,
|
| 1862 |
-
"step": 124
|
| 1863 |
-
},
|
| 1864 |
-
{
|
| 1865 |
-
"epoch": 6.526315789473684,
|
| 1866 |
-
"eval_loss": 0.2981402277946472,
|
| 1867 |
-
"eval_runtime": 3.3997,
|
| 1868 |
-
"eval_samples_per_second": 8.824,
|
| 1869 |
-
"eval_steps_per_second": 1.177,
|
| 1870 |
-
"step": 124
|
| 1871 |
-
},
|
| 1872 |
-
{
|
| 1873 |
-
"epoch": 6.578947368421053,
|
| 1874 |
-
"grad_norm": 0.7558391094207764,
|
| 1875 |
-
"learning_rate": 0.00027834692290132053,
|
| 1876 |
-
"loss": 0.2935,
|
| 1877 |
-
"step": 125
|
| 1878 |
-
},
|
| 1879 |
-
{
|
| 1880 |
-
"epoch": 6.578947368421053,
|
| 1881 |
-
"eval_loss": 0.29539814591407776,
|
| 1882 |
-
"eval_runtime": 3.3982,
|
| 1883 |
-
"eval_samples_per_second": 8.828,
|
| 1884 |
-
"eval_steps_per_second": 1.177,
|
| 1885 |
-
"step": 125
|
| 1886 |
-
},
|
| 1887 |
-
{
|
| 1888 |
-
"epoch": 6.631578947368421,
|
| 1889 |
-
"grad_norm": 1.2316842079162598,
|
| 1890 |
-
"learning_rate": 0.0002750239229060246,
|
| 1891 |
-
"loss": 0.2295,
|
| 1892 |
-
"step": 126
|
| 1893 |
-
},
|
| 1894 |
-
{
|
| 1895 |
-
"epoch": 6.631578947368421,
|
| 1896 |
-
"eval_loss": 0.29493311047554016,
|
| 1897 |
-
"eval_runtime": 3.3983,
|
| 1898 |
-
"eval_samples_per_second": 8.828,
|
| 1899 |
-
"eval_steps_per_second": 1.177,
|
| 1900 |
-
"step": 126
|
| 1901 |
-
},
|
| 1902 |
-
{
|
| 1903 |
-
"epoch": 6.684210526315789,
|
| 1904 |
-
"grad_norm": 0.872908353805542,
|
| 1905 |
-
"learning_rate": 0.0002716964507958994,
|
| 1906 |
-
"loss": 0.3214,
|
| 1907 |
-
"step": 127
|
| 1908 |
-
},
|
| 1909 |
-
{
|
| 1910 |
-
"epoch": 6.684210526315789,
|
| 1911 |
-
"eval_loss": 0.2816743552684784,
|
| 1912 |
-
"eval_runtime": 3.3969,
|
| 1913 |
-
"eval_samples_per_second": 8.831,
|
| 1914 |
-
"eval_steps_per_second": 1.178,
|
| 1915 |
-
"step": 127
|
| 1916 |
-
},
|
| 1917 |
-
{
|
| 1918 |
-
"epoch": 6.7368421052631575,
|
| 1919 |
-
"grad_norm": 1.1845930814743042,
|
| 1920 |
-
"learning_rate": 0.0002683651012353955,
|
| 1921 |
-
"loss": 0.3108,
|
| 1922 |
-
"step": 128
|
| 1923 |
-
},
|
| 1924 |
-
{
|
| 1925 |
-
"epoch": 6.7368421052631575,
|
| 1926 |
-
"eval_loss": 0.27218949794769287,
|
| 1927 |
-
"eval_runtime": 3.4046,
|
| 1928 |
-
"eval_samples_per_second": 8.812,
|
| 1929 |
-
"eval_steps_per_second": 1.175,
|
| 1930 |
-
"step": 128
|
| 1931 |
-
},
|
| 1932 |
-
{
|
| 1933 |
-
"epoch": 6.7894736842105265,
|
| 1934 |
-
"grad_norm": 0.8063351511955261,
|
| 1935 |
-
"learning_rate": 0.0002650304695819168,
|
| 1936 |
-
"loss": 0.2863,
|
| 1937 |
-
"step": 129
|
| 1938 |
-
},
|
| 1939 |
-
{
|
| 1940 |
-
"epoch": 6.7894736842105265,
|
| 1941 |
-
"eval_loss": 0.26498475670814514,
|
| 1942 |
-
"eval_runtime": 3.4002,
|
| 1943 |
-
"eval_samples_per_second": 8.823,
|
| 1944 |
-
"eval_steps_per_second": 1.176,
|
| 1945 |
-
"step": 129
|
| 1946 |
-
},
|
| 1947 |
-
{
|
| 1948 |
-
"epoch": 6.842105263157895,
|
| 1949 |
-
"grad_norm": 0.8428151607513428,
|
| 1950 |
-
"learning_rate": 0.00026169315177942135,
|
| 1951 |
-
"loss": 0.3621,
|
| 1952 |
-
"step": 130
|
| 1953 |
-
},
|
| 1954 |
-
{
|
| 1955 |
-
"epoch": 6.842105263157895,
|
| 1956 |
-
"eval_loss": 0.26111218333244324,
|
| 1957 |
-
"eval_runtime": 3.4007,
|
| 1958 |
-
"eval_samples_per_second": 8.822,
|
| 1959 |
-
"eval_steps_per_second": 1.176,
|
| 1960 |
-
"step": 130
|
| 1961 |
-
},
|
| 1962 |
-
{
|
| 1963 |
-
"epoch": 6.894736842105263,
|
| 1964 |
-
"grad_norm": 0.7834460139274597,
|
| 1965 |
-
"learning_rate": 0.0002583537442519187,
|
| 1966 |
-
"loss": 0.3314,
|
| 1967 |
-
"step": 131
|
| 1968 |
-
},
|
| 1969 |
-
{
|
| 1970 |
-
"epoch": 6.894736842105263,
|
| 1971 |
-
"eval_loss": 0.2560313940048218,
|
| 1972 |
-
"eval_runtime": 3.3993,
|
| 1973 |
-
"eval_samples_per_second": 8.825,
|
| 1974 |
-
"eval_steps_per_second": 1.177,
|
| 1975 |
-
"step": 131
|
| 1976 |
-
},
|
| 1977 |
-
{
|
| 1978 |
-
"epoch": 6.947368421052632,
|
| 1979 |
-
"grad_norm": 0.7809928059577942,
|
| 1980 |
-
"learning_rate": 0.00025501284379688067,
|
| 1981 |
-
"loss": 0.3259,
|
| 1982 |
-
"step": 132
|
| 1983 |
-
},
|
| 1984 |
-
{
|
| 1985 |
-
"epoch": 6.947368421052632,
|
| 1986 |
-
"eval_loss": 0.24695177376270294,
|
| 1987 |
-
"eval_runtime": 3.3903,
|
| 1988 |
-
"eval_samples_per_second": 8.849,
|
| 1989 |
-
"eval_steps_per_second": 1.18,
|
| 1990 |
-
"step": 132
|
| 1991 |
-
},
|
| 1992 |
-
{
|
| 1993 |
-
"epoch": 7.0,
|
| 1994 |
-
"grad_norm": 0.679124116897583,
|
| 1995 |
-
"learning_rate": 0.0002516710474785856,
|
| 1996 |
-
"loss": 0.2897,
|
| 1997 |
-
"step": 133
|
| 1998 |
-
},
|
| 1999 |
-
{
|
| 2000 |
-
"epoch": 7.0,
|
| 2001 |
-
"eval_loss": 0.23945002257823944,
|
| 2002 |
-
"eval_runtime": 3.393,
|
| 2003 |
-
"eval_samples_per_second": 8.842,
|
| 2004 |
-
"eval_steps_per_second": 1.179,
|
| 2005 |
-
"step": 133
|
| 2006 |
-
},
|
| 2007 |
-
{
|
| 2008 |
-
"epoch": 7.052631578947368,
|
| 2009 |
-
"grad_norm": 0.7083767056465149,
|
| 2010 |
-
"learning_rate": 0.0002483289525214145,
|
| 2011 |
-
"loss": 0.2112,
|
| 2012 |
-
"step": 134
|
| 2013 |
-
},
|
| 2014 |
-
{
|
| 2015 |
-
"epoch": 7.052631578947368,
|
| 2016 |
-
"eval_loss": 0.22805434465408325,
|
| 2017 |
-
"eval_runtime": 3.3927,
|
| 2018 |
-
"eval_samples_per_second": 8.843,
|
| 2019 |
-
"eval_steps_per_second": 1.179,
|
| 2020 |
-
"step": 134
|
| 2021 |
-
},
|
| 2022 |
-
{
|
| 2023 |
-
"epoch": 7.105263157894737,
|
| 2024 |
-
"grad_norm": 0.7295684218406677,
|
| 2025 |
-
"learning_rate": 0.00024498715620311935,
|
| 2026 |
-
"loss": 0.1686,
|
| 2027 |
-
"step": 135
|
| 2028 |
-
},
|
| 2029 |
-
{
|
| 2030 |
-
"epoch": 7.105263157894737,
|
| 2031 |
-
"eval_loss": 0.22213517129421234,
|
| 2032 |
-
"eval_runtime": 3.3986,
|
| 2033 |
-
"eval_samples_per_second": 8.827,
|
| 2034 |
-
"eval_steps_per_second": 1.177,
|
| 2035 |
-
"step": 135
|
| 2036 |
-
},
|
| 2037 |
-
{
|
| 2038 |
-
"epoch": 7.157894736842105,
|
| 2039 |
-
"grad_norm": 0.9701097011566162,
|
| 2040 |
-
"learning_rate": 0.00024164625574808144,
|
| 2041 |
-
"loss": 0.192,
|
| 2042 |
-
"step": 136
|
| 2043 |
-
},
|
| 2044 |
-
{
|
| 2045 |
-
"epoch": 7.157894736842105,
|
| 2046 |
-
"eval_loss": 0.21580030024051666,
|
| 2047 |
-
"eval_runtime": 3.3985,
|
| 2048 |
-
"eval_samples_per_second": 8.827,
|
| 2049 |
-
"eval_steps_per_second": 1.177,
|
| 2050 |
-
"step": 136
|
| 2051 |
-
},
|
| 2052 |
-
{
|
| 2053 |
-
"epoch": 7.2105263157894735,
|
| 2054 |
-
"grad_norm": 0.9494478702545166,
|
| 2055 |
-
"learning_rate": 0.00023830684822057877,
|
| 2056 |
-
"loss": 0.205,
|
| 2057 |
-
"step": 137
|
| 2058 |
-
},
|
| 2059 |
-
{
|
| 2060 |
-
"epoch": 7.2105263157894735,
|
| 2061 |
-
"eval_loss": 0.21216638386249542,
|
| 2062 |
-
"eval_runtime": 3.4006,
|
| 2063 |
-
"eval_samples_per_second": 8.822,
|
| 2064 |
-
"eval_steps_per_second": 1.176,
|
| 2065 |
-
"step": 137
|
| 2066 |
-
},
|
| 2067 |
-
{
|
| 2068 |
-
"epoch": 7.2631578947368425,
|
| 2069 |
-
"grad_norm": 0.6897704005241394,
|
| 2070 |
-
"learning_rate": 0.00023496953041808325,
|
| 2071 |
-
"loss": 0.1542,
|
| 2072 |
-
"step": 138
|
| 2073 |
-
},
|
| 2074 |
-
{
|
| 2075 |
-
"epoch": 7.2631578947368425,
|
| 2076 |
-
"eval_loss": 0.21432656049728394,
|
| 2077 |
-
"eval_runtime": 3.3968,
|
| 2078 |
-
"eval_samples_per_second": 8.832,
|
| 2079 |
-
"eval_steps_per_second": 1.178,
|
| 2080 |
-
"step": 138
|
| 2081 |
-
},
|
| 2082 |
-
{
|
| 2083 |
-
"epoch": 7.315789473684211,
|
| 2084 |
-
"grad_norm": 0.7690937519073486,
|
| 2085 |
-
"learning_rate": 0.0002316348987646045,
|
| 2086 |
-
"loss": 0.213,
|
| 2087 |
-
"step": 139
|
| 2088 |
-
},
|
| 2089 |
-
{
|
| 2090 |
-
"epoch": 7.315789473684211,
|
| 2091 |
-
"eval_loss": 0.21909914910793304,
|
| 2092 |
-
"eval_runtime": 3.3981,
|
| 2093 |
-
"eval_samples_per_second": 8.829,
|
| 2094 |
-
"eval_steps_per_second": 1.177,
|
| 2095 |
-
"step": 139
|
| 2096 |
-
},
|
| 2097 |
-
{
|
| 2098 |
-
"epoch": 7.368421052631579,
|
| 2099 |
-
"grad_norm": 0.9047114253044128,
|
| 2100 |
-
"learning_rate": 0.00022830354920410064,
|
| 2101 |
-
"loss": 0.2302,
|
| 2102 |
-
"step": 140
|
| 2103 |
-
},
|
| 2104 |
-
{
|
| 2105 |
-
"epoch": 7.368421052631579,
|
| 2106 |
-
"eval_loss": 0.2153581976890564,
|
| 2107 |
-
"eval_runtime": 3.399,
|
| 2108 |
-
"eval_samples_per_second": 8.826,
|
| 2109 |
-
"eval_steps_per_second": 1.177,
|
| 2110 |
-
"step": 140
|
| 2111 |
-
},
|
| 2112 |
-
{
|
| 2113 |
-
"epoch": 7.421052631578947,
|
| 2114 |
-
"grad_norm": 0.7724714279174805,
|
| 2115 |
-
"learning_rate": 0.0002249760770939754,
|
| 2116 |
-
"loss": 0.1825,
|
| 2117 |
-
"step": 141
|
| 2118 |
-
},
|
| 2119 |
-
{
|
| 2120 |
-
"epoch": 7.421052631578947,
|
| 2121 |
-
"eval_loss": 0.20969410240650177,
|
| 2122 |
-
"eval_runtime": 3.3776,
|
| 2123 |
-
"eval_samples_per_second": 8.882,
|
| 2124 |
-
"eval_steps_per_second": 1.184,
|
| 2125 |
-
"step": 141
|
| 2126 |
-
},
|
| 2127 |
-
{
|
| 2128 |
-
"epoch": 7.473684210526316,
|
| 2129 |
-
"grad_norm": 0.7683383822441101,
|
| 2130 |
-
"learning_rate": 0.0002216530770986795,
|
| 2131 |
-
"loss": 0.1793,
|
| 2132 |
-
"step": 142
|
| 2133 |
-
},
|
| 2134 |
-
{
|
| 2135 |
-
"epoch": 7.473684210526316,
|
| 2136 |
-
"eval_loss": 0.204229936003685,
|
| 2137 |
-
"eval_runtime": 3.398,
|
| 2138 |
-
"eval_samples_per_second": 8.829,
|
| 2139 |
-
"eval_steps_per_second": 1.177,
|
| 2140 |
-
"step": 142
|
| 2141 |
-
},
|
| 2142 |
-
{
|
| 2143 |
-
"epoch": 7.526315789473684,
|
| 2144 |
-
"grad_norm": 0.8928307890892029,
|
| 2145 |
-
"learning_rate": 0.0002183351430834358,
|
| 2146 |
-
"loss": 0.2218,
|
| 2147 |
-
"step": 143
|
| 2148 |
-
},
|
| 2149 |
-
{
|
| 2150 |
-
"epoch": 7.526315789473684,
|
| 2151 |
-
"eval_loss": 0.197996586561203,
|
| 2152 |
-
"eval_runtime": 3.3992,
|
| 2153 |
-
"eval_samples_per_second": 8.826,
|
| 2154 |
-
"eval_steps_per_second": 1.177,
|
| 2155 |
-
"step": 143
|
| 2156 |
-
},
|
| 2157 |
-
{
|
| 2158 |
-
"epoch": 7.578947368421053,
|
| 2159 |
-
"grad_norm": 0.683783769607544,
|
| 2160 |
-
"learning_rate": 0.0002150228680081079,
|
| 2161 |
-
"loss": 0.1496,
|
| 2162 |
-
"step": 144
|
| 2163 |
-
},
|
| 2164 |
-
{
|
| 2165 |
-
"epoch": 7.578947368421053,
|
| 2166 |
-
"eval_loss": 0.19135157763957977,
|
| 2167 |
-
"eval_runtime": 3.4077,
|
| 2168 |
-
"eval_samples_per_second": 8.804,
|
| 2169 |
-
"eval_steps_per_second": 1.174,
|
| 2170 |
-
"step": 144
|
| 2171 |
-
},
|
| 2172 |
-
{
|
| 2173 |
-
"epoch": 7.631578947368421,
|
| 2174 |
-
"grad_norm": 0.7701078653335571,
|
| 2175 |
-
"learning_rate": 0.00021171684382123,
|
| 2176 |
-
"loss": 0.2014,
|
| 2177 |
-
"step": 145
|
| 2178 |
-
},
|
| 2179 |
-
{
|
| 2180 |
-
"epoch": 7.631578947368421,
|
| 2181 |
-
"eval_loss": 0.1854608803987503,
|
| 2182 |
-
"eval_runtime": 3.4029,
|
| 2183 |
-
"eval_samples_per_second": 8.816,
|
| 2184 |
-
"eval_steps_per_second": 1.175,
|
| 2185 |
-
"step": 145
|
| 2186 |
-
},
|
| 2187 |
-
{
|
| 2188 |
-
"epoch": 7.684210526315789,
|
| 2189 |
-
"grad_norm": 0.9109010696411133,
|
| 2190 |
-
"learning_rate": 0.0002084176613542175,
|
| 2191 |
-
"loss": 0.191,
|
| 2192 |
-
"step": 146
|
| 2193 |
-
},
|
| 2194 |
-
{
|
| 2195 |
-
"epoch": 7.684210526315789,
|
| 2196 |
-
"eval_loss": 0.1755831390619278,
|
| 2197 |
-
"eval_runtime": 3.4062,
|
| 2198 |
-
"eval_samples_per_second": 8.807,
|
| 2199 |
-
"eval_steps_per_second": 1.174,
|
| 2200 |
-
"step": 146
|
| 2201 |
-
},
|
| 2202 |
-
{
|
| 2203 |
-
"epoch": 7.7368421052631575,
|
| 2204 |
-
"grad_norm": 0.9243440628051758,
|
| 2205 |
-
"learning_rate": 0.00020512591021577773,
|
| 2206 |
-
"loss": 0.1477,
|
| 2207 |
-
"step": 147
|
| 2208 |
-
},
|
| 2209 |
-
{
|
| 2210 |
-
"epoch": 7.7368421052631575,
|
| 2211 |
-
"eval_loss": 0.17130498588085175,
|
| 2212 |
-
"eval_runtime": 3.3849,
|
| 2213 |
-
"eval_samples_per_second": 8.863,
|
| 2214 |
-
"eval_steps_per_second": 1.182,
|
| 2215 |
-
"step": 147
|
| 2216 |
-
},
|
| 2217 |
-
{
|
| 2218 |
-
"epoch": 7.7894736842105265,
|
| 2219 |
-
"grad_norm": 0.6701480746269226,
|
| 2220 |
-
"learning_rate": 0.00020184217868653867,
|
| 2221 |
-
"loss": 0.1978,
|
| 2222 |
-
"step": 148
|
| 2223 |
-
},
|
| 2224 |
-
{
|
| 2225 |
-
"epoch": 7.7894736842105265,
|
| 2226 |
-
"eval_loss": 0.16958914697170258,
|
| 2227 |
-
"eval_runtime": 3.3829,
|
| 2228 |
-
"eval_samples_per_second": 8.868,
|
| 2229 |
-
"eval_steps_per_second": 1.182,
|
| 2230 |
-
"step": 148
|
| 2231 |
-
},
|
| 2232 |
-
{
|
| 2233 |
-
"epoch": 7.842105263157895,
|
| 2234 |
-
"grad_norm": 0.6767657399177551,
|
| 2235 |
-
"learning_rate": 0.0001985670536139151,
|
| 2236 |
-
"loss": 0.2179,
|
| 2237 |
-
"step": 149
|
| 2238 |
-
},
|
| 2239 |
-
{
|
| 2240 |
-
"epoch": 7.842105263157895,
|
| 2241 |
-
"eval_loss": 0.16378562152385712,
|
| 2242 |
-
"eval_runtime": 3.3828,
|
| 2243 |
-
"eval_samples_per_second": 8.868,
|
| 2244 |
-
"eval_steps_per_second": 1.182,
|
| 2245 |
-
"step": 149
|
| 2246 |
-
},
|
| 2247 |
-
{
|
| 2248 |
-
"epoch": 7.894736842105263,
|
| 2249 |
-
"grad_norm": 0.6448670625686646,
|
| 2250 |
-
"learning_rate": 0.0001953011203072312,
|
| 2251 |
-
"loss": 0.2025,
|
| 2252 |
-
"step": 150
|
| 2253 |
-
},
|
| 2254 |
-
{
|
| 2255 |
-
"epoch": 7.894736842105263,
|
| 2256 |
-
"eval_loss": 0.15805380046367645,
|
| 2257 |
-
"eval_runtime": 3.3987,
|
| 2258 |
-
"eval_samples_per_second": 8.827,
|
| 2259 |
-
"eval_steps_per_second": 1.177,
|
| 2260 |
-
"step": 150
|
| 2261 |
-
},
|
| 2262 |
-
{
|
| 2263 |
-
"epoch": 7.947368421052632,
|
| 2264 |
-
"grad_norm": 0.87026047706604,
|
| 2265 |
-
"learning_rate": 0.00019204496243311792,
|
| 2266 |
-
"loss": 0.2653,
|
| 2267 |
-
"step": 151
|
| 2268 |
-
},
|
| 2269 |
-
{
|
| 2270 |
-
"epoch": 7.947368421052632,
|
| 2271 |
-
"eval_loss": 0.14828962087631226,
|
| 2272 |
-
"eval_runtime": 3.3946,
|
| 2273 |
-
"eval_samples_per_second": 8.838,
|
| 2274 |
-
"eval_steps_per_second": 1.178,
|
| 2275 |
-
"step": 151
|
| 2276 |
-
},
|
| 2277 |
-
{
|
| 2278 |
-
"epoch": 8.0,
|
| 2279 |
-
"grad_norm": 0.746687114238739,
|
| 2280 |
-
"learning_rate": 0.00018879916191120349,
|
| 2281 |
-
"loss": 0.2052,
|
| 2282 |
-
"step": 152
|
| 2283 |
-
},
|
| 2284 |
-
{
|
| 2285 |
-
"epoch": 8.0,
|
| 2286 |
-
"eval_loss": 0.1411527693271637,
|
| 2287 |
-
"eval_runtime": 3.3931,
|
| 2288 |
-
"eval_samples_per_second": 8.841,
|
| 2289 |
-
"eval_steps_per_second": 1.179,
|
| 2290 |
-
"step": 152
|
| 2291 |
-
},
|
| 2292 |
-
{
|
| 2293 |
-
"epoch": 8.052631578947368,
|
| 2294 |
-
"grad_norm": 0.47239571809768677,
|
| 2295 |
-
"learning_rate": 0.00018556429881011656,
|
| 2296 |
-
"loss": 0.1007,
|
| 2297 |
-
"step": 153
|
| 2298 |
-
},
|
| 2299 |
-
{
|
| 2300 |
-
"epoch": 8.052631578947368,
|
| 2301 |
-
"eval_loss": 0.13516879081726074,
|
| 2302 |
-
"eval_runtime": 3.3993,
|
| 2303 |
-
"eval_samples_per_second": 8.825,
|
| 2304 |
-
"eval_steps_per_second": 1.177,
|
| 2305 |
-
"step": 153
|
| 2306 |
-
},
|
| 2307 |
-
{
|
| 2308 |
-
"epoch": 8.105263157894736,
|
| 2309 |
-
"grad_norm": 0.8439627289772034,
|
| 2310 |
-
"learning_rate": 0.0001823409512438203,
|
| 2311 |
-
"loss": 0.1246,
|
| 2312 |
-
"step": 154
|
| 2313 |
-
},
|
| 2314 |
-
{
|
| 2315 |
-
"epoch": 8.105263157894736,
|
| 2316 |
-
"eval_loss": 0.13015992939472198,
|
| 2317 |
-
"eval_runtime": 3.3942,
|
| 2318 |
-
"eval_samples_per_second": 8.839,
|
| 2319 |
-
"eval_steps_per_second": 1.178,
|
| 2320 |
-
"step": 154
|
| 2321 |
-
},
|
| 2322 |
-
{
|
| 2323 |
-
"epoch": 8.157894736842104,
|
| 2324 |
-
"grad_norm": 0.6233652830123901,
|
| 2325 |
-
"learning_rate": 0.00017912969526829559,
|
| 2326 |
-
"loss": 0.0809,
|
| 2327 |
-
"step": 155
|
| 2328 |
-
},
|
| 2329 |
-
{
|
| 2330 |
-
"epoch": 8.157894736842104,
|
| 2331 |
-
"eval_loss": 0.12686298787593842,
|
| 2332 |
-
"eval_runtime": 3.3971,
|
| 2333 |
-
"eval_samples_per_second": 8.831,
|
| 2334 |
-
"eval_steps_per_second": 1.177,
|
| 2335 |
-
"step": 155
|
| 2336 |
-
},
|
| 2337 |
-
{
|
| 2338 |
-
"epoch": 8.210526315789474,
|
| 2339 |
-
"grad_norm": 0.7331376075744629,
|
| 2340 |
-
"learning_rate": 0.00017593110477859153,
|
| 2341 |
-
"loss": 0.0948,
|
| 2342 |
-
"step": 156
|
| 2343 |
-
},
|
| 2344 |
-
{
|
| 2345 |
-
"epoch": 8.210526315789474,
|
| 2346 |
-
"eval_loss": 0.12066776305437088,
|
| 2347 |
-
"eval_runtime": 3.3964,
|
| 2348 |
-
"eval_samples_per_second": 8.833,
|
| 2349 |
-
"eval_steps_per_second": 1.178,
|
| 2350 |
-
"step": 156
|
| 2351 |
-
},
|
| 2352 |
-
{
|
| 2353 |
-
"epoch": 8.263157894736842,
|
| 2354 |
-
"grad_norm": 0.7566715478897095,
|
| 2355 |
-
"learning_rate": 0.00017274575140626317,
|
| 2356 |
-
"loss": 0.1052,
|
| 2357 |
-
"step": 157
|
| 2358 |
-
},
|
| 2359 |
-
{
|
| 2360 |
-
"epoch": 8.263157894736842,
|
| 2361 |
-
"eval_loss": 0.1153416633605957,
|
| 2362 |
-
"eval_runtime": 3.3936,
|
| 2363 |
-
"eval_samples_per_second": 8.84,
|
| 2364 |
-
"eval_steps_per_second": 1.179,
|
| 2365 |
-
"step": 157
|
| 2366 |
-
},
|
| 2367 |
-
{
|
| 2368 |
-
"epoch": 8.31578947368421,
|
| 2369 |
-
"grad_norm": 0.5211192965507507,
|
| 2370 |
-
"learning_rate": 0.00016957420441721284,
|
| 2371 |
-
"loss": 0.0584,
|
| 2372 |
-
"step": 158
|
| 2373 |
-
},
|
| 2374 |
-
{
|
| 2375 |
-
"epoch": 8.31578947368421,
|
| 2376 |
-
"eval_loss": 0.10957438498735428,
|
| 2377 |
-
"eval_runtime": 3.3951,
|
| 2378 |
-
"eval_samples_per_second": 8.836,
|
| 2379 |
-
"eval_steps_per_second": 1.178,
|
| 2380 |
-
"step": 158
|
| 2381 |
-
},
|
| 2382 |
-
{
|
| 2383 |
-
"epoch": 8.368421052631579,
|
| 2384 |
-
"grad_norm": 0.7941140532493591,
|
| 2385 |
-
"learning_rate": 0.00016641703060995457,
|
| 2386 |
-
"loss": 0.1393,
|
| 2387 |
-
"step": 159
|
| 2388 |
-
},
|
| 2389 |
-
{
|
| 2390 |
-
"epoch": 8.368421052631579,
|
| 2391 |
-
"eval_loss": 0.1009925901889801,
|
| 2392 |
-
"eval_runtime": 3.3908,
|
| 2393 |
-
"eval_samples_per_second": 8.847,
|
| 2394 |
-
"eval_steps_per_second": 1.18,
|
| 2395 |
-
"step": 159
|
| 2396 |
-
},
|
| 2397 |
-
{
|
| 2398 |
-
"epoch": 8.421052631578947,
|
| 2399 |
-
"grad_norm": 0.7772736549377441,
|
| 2400 |
-
"learning_rate": 0.00016327479421431983,
|
| 2401 |
-
"loss": 0.1284,
|
| 2402 |
-
"step": 160
|
| 2403 |
-
},
|
| 2404 |
-
{
|
| 2405 |
-
"epoch": 8.421052631578947,
|
| 2406 |
-
"eval_loss": 0.094593845307827,
|
| 2407 |
-
"eval_runtime": 3.3985,
|
| 2408 |
-
"eval_samples_per_second": 8.827,
|
| 2409 |
-
"eval_steps_per_second": 1.177,
|
| 2410 |
-
"step": 160
|
| 2411 |
-
},
|
| 2412 |
-
{
|
| 2413 |
-
"epoch": 8.473684210526315,
|
| 2414 |
-
"grad_norm": 0.8724604845046997,
|
| 2415 |
-
"learning_rate": 0.00016014805679062183,
|
| 2416 |
-
"loss": 0.1518,
|
| 2417 |
-
"step": 161
|
| 2418 |
-
},
|
| 2419 |
-
{
|
| 2420 |
-
"epoch": 8.473684210526315,
|
| 2421 |
-
"eval_loss": 0.0894516333937645,
|
| 2422 |
-
"eval_runtime": 3.3955,
|
| 2423 |
-
"eval_samples_per_second": 8.835,
|
| 2424 |
-
"eval_steps_per_second": 1.178,
|
| 2425 |
-
"step": 161
|
| 2426 |
-
},
|
| 2427 |
-
{
|
| 2428 |
-
"epoch": 8.526315789473685,
|
| 2429 |
-
"grad_norm": 0.7179498672485352,
|
| 2430 |
-
"learning_rate": 0.0001570373771292967,
|
| 2431 |
-
"loss": 0.1107,
|
| 2432 |
-
"step": 162
|
| 2433 |
-
},
|
| 2434 |
-
{
|
| 2435 |
-
"epoch": 8.526315789473685,
|
| 2436 |
-
"eval_loss": 0.0845918357372284,
|
| 2437 |
-
"eval_runtime": 3.4033,
|
| 2438 |
-
"eval_samples_per_second": 8.815,
|
| 2439 |
-
"eval_steps_per_second": 1.175,
|
| 2440 |
-
"step": 162
|
| 2441 |
-
},
|
| 2442 |
-
{
|
| 2443 |
-
"epoch": 8.578947368421053,
|
| 2444 |
-
"grad_norm": 0.6780802607536316,
|
| 2445 |
-
"learning_rate": 0.00015394331115104075,
|
| 2446 |
-
"loss": 0.0997,
|
| 2447 |
-
"step": 163
|
| 2448 |
-
},
|
| 2449 |
-
{
|
| 2450 |
-
"epoch": 8.578947368421053,
|
| 2451 |
-
"eval_loss": 0.08240295946598053,
|
| 2452 |
-
"eval_runtime": 3.402,
|
| 2453 |
-
"eval_samples_per_second": 8.818,
|
| 2454 |
-
"eval_steps_per_second": 1.176,
|
| 2455 |
-
"step": 163
|
| 2456 |
-
},
|
| 2457 |
-
{
|
| 2458 |
-
"epoch": 8.631578947368421,
|
| 2459 |
-
"grad_norm": 0.6817135810852051,
|
| 2460 |
-
"learning_rate": 0.00015086641180745932,
|
| 2461 |
-
"loss": 0.1156,
|
| 2462 |
-
"step": 164
|
| 2463 |
-
},
|
| 2464 |
-
{
|
| 2465 |
-
"epoch": 8.631578947368421,
|
| 2466 |
-
"eval_loss": 0.07952894270420074,
|
| 2467 |
-
"eval_runtime": 3.4067,
|
| 2468 |
-
"eval_samples_per_second": 8.806,
|
| 2469 |
-
"eval_steps_per_second": 1.174,
|
| 2470 |
-
"step": 164
|
| 2471 |
-
},
|
| 2472 |
-
{
|
| 2473 |
-
"epoch": 8.68421052631579,
|
| 2474 |
-
"grad_norm": 0.7739869356155396,
|
| 2475 |
-
"learning_rate": 0.00014780722898224708,
|
| 2476 |
-
"loss": 0.1247,
|
| 2477 |
-
"step": 165
|
| 2478 |
-
},
|
| 2479 |
-
{
|
| 2480 |
-
"epoch": 8.68421052631579,
|
| 2481 |
-
"eval_loss": 0.07561580091714859,
|
| 2482 |
-
"eval_runtime": 3.4045,
|
| 2483 |
-
"eval_samples_per_second": 8.812,
|
| 2484 |
-
"eval_steps_per_second": 1.175,
|
| 2485 |
-
"step": 165
|
| 2486 |
-
},
|
| 2487 |
-
{
|
| 2488 |
-
"epoch": 8.736842105263158,
|
| 2489 |
-
"grad_norm": 0.8046780228614807,
|
| 2490 |
-
"learning_rate": 0.0001447663093929163,
|
| 2491 |
-
"loss": 0.1085,
|
| 2492 |
-
"step": 166
|
| 2493 |
-
},
|
| 2494 |
-
{
|
| 2495 |
-
"epoch": 8.736842105263158,
|
| 2496 |
-
"eval_loss": 0.07319317758083344,
|
| 2497 |
-
"eval_runtime": 3.3994,
|
| 2498 |
-
"eval_samples_per_second": 8.825,
|
| 2499 |
-
"eval_steps_per_second": 1.177,
|
| 2500 |
-
"step": 166
|
| 2501 |
-
},
|
| 2502 |
-
{
|
| 2503 |
-
"epoch": 8.789473684210526,
|
| 2504 |
-
"grad_norm": 0.6103046536445618,
|
| 2505 |
-
"learning_rate": 0.00014174419649309089,
|
| 2506 |
-
"loss": 0.0832,
|
| 2507 |
-
"step": 167
|
| 2508 |
-
},
|
| 2509 |
-
{
|
| 2510 |
-
"epoch": 8.789473684210526,
|
| 2511 |
-
"eval_loss": 0.07252493500709534,
|
| 2512 |
-
"eval_runtime": 3.4001,
|
| 2513 |
-
"eval_samples_per_second": 8.823,
|
| 2514 |
-
"eval_steps_per_second": 1.176,
|
| 2515 |
-
"step": 167
|
| 2516 |
-
},
|
| 2517 |
-
{
|
| 2518 |
-
"epoch": 8.842105263157894,
|
| 2519 |
-
"grad_norm": 0.6907472610473633,
|
| 2520 |
-
"learning_rate": 0.00013874143037538418,
|
| 2521 |
-
"loss": 0.1031,
|
| 2522 |
-
"step": 168
|
| 2523 |
-
},
|
| 2524 |
-
{
|
| 2525 |
-
"epoch": 8.842105263157894,
|
| 2526 |
-
"eval_loss": 0.07177206873893738,
|
| 2527 |
-
"eval_runtime": 3.4044,
|
| 2528 |
-
"eval_samples_per_second": 8.812,
|
| 2529 |
-
"eval_steps_per_second": 1.175,
|
| 2530 |
-
"step": 168
|
| 2531 |
-
},
|
| 2532 |
-
{
|
| 2533 |
-
"epoch": 8.894736842105264,
|
| 2534 |
-
"grad_norm": 0.6837093830108643,
|
| 2535 |
-
"learning_rate": 0.0001357585476748766,
|
| 2536 |
-
"loss": 0.1074,
|
| 2537 |
-
"step": 169
|
| 2538 |
-
},
|
| 2539 |
-
{
|
| 2540 |
-
"epoch": 8.894736842105264,
|
| 2541 |
-
"eval_loss": 0.06924725323915482,
|
| 2542 |
-
"eval_runtime": 3.4019,
|
| 2543 |
-
"eval_samples_per_second": 8.819,
|
| 2544 |
-
"eval_steps_per_second": 1.176,
|
| 2545 |
-
"step": 169
|
| 2546 |
-
},
|
| 2547 |
-
{
|
| 2548 |
-
"epoch": 8.947368421052632,
|
| 2549 |
-
"grad_norm": 0.5226811766624451,
|
| 2550 |
-
"learning_rate": 0.00013279608147321223,
|
| 2551 |
-
"loss": 0.0467,
|
| 2552 |
-
"step": 170
|
| 2553 |
-
},
|
| 2554 |
-
{
|
| 2555 |
-
"epoch": 8.947368421052632,
|
| 2556 |
-
"eval_loss": 0.06760647892951965,
|
| 2557 |
-
"eval_runtime": 3.3966,
|
| 2558 |
-
"eval_samples_per_second": 8.832,
|
| 2559 |
-
"eval_steps_per_second": 1.178,
|
| 2560 |
-
"step": 170
|
| 2561 |
-
},
|
| 2562 |
-
{
|
| 2563 |
-
"epoch": 9.0,
|
| 2564 |
-
"grad_norm": 0.8332634568214417,
|
| 2565 |
-
"learning_rate": 0.00012985456120332905,
|
| 2566 |
-
"loss": 0.1137,
|
| 2567 |
-
"step": 171
|
| 2568 |
-
},
|
| 2569 |
-
{
|
| 2570 |
-
"epoch": 9.0,
|
| 2571 |
-
"eval_loss": 0.06686952710151672,
|
| 2572 |
-
"eval_runtime": 3.3907,
|
| 2573 |
-
"eval_samples_per_second": 8.848,
|
| 2574 |
-
"eval_steps_per_second": 1.18,
|
| 2575 |
-
"step": 171
|
| 2576 |
-
},
|
| 2577 |
-
{
|
| 2578 |
-
"epoch": 9.052631578947368,
|
| 2579 |
-
"grad_norm": 0.4633868932723999,
|
| 2580 |
-
"learning_rate": 0.00012693451255484312,
|
| 2581 |
-
"loss": 0.0353,
|
| 2582 |
-
"step": 172
|
| 2583 |
-
},
|
| 2584 |
-
{
|
| 2585 |
-
"epoch": 9.052631578947368,
|
| 2586 |
-
"eval_loss": 0.06244245544075966,
|
| 2587 |
-
"eval_runtime": 3.3982,
|
| 2588 |
-
"eval_samples_per_second": 8.828,
|
| 2589 |
-
"eval_steps_per_second": 1.177,
|
| 2590 |
-
"step": 172
|
| 2591 |
-
},
|
| 2592 |
-
{
|
| 2593 |
-
"epoch": 9.105263157894736,
|
| 2594 |
-
"grad_norm": 0.7089731693267822,
|
| 2595 |
-
"learning_rate": 0.00012403645738009997,
|
| 2596 |
-
"loss": 0.059,
|
| 2597 |
-
"step": 173
|
| 2598 |
-
},
|
| 2599 |
-
{
|
| 2600 |
-
"epoch": 9.105263157894736,
|
| 2601 |
-
"eval_loss": 0.05555792525410652,
|
| 2602 |
-
"eval_runtime": 3.3985,
|
| 2603 |
-
"eval_samples_per_second": 8.828,
|
| 2604 |
-
"eval_steps_per_second": 1.177,
|
| 2605 |
-
"step": 173
|
| 2606 |
-
},
|
| 2607 |
-
{
|
| 2608 |
-
"epoch": 9.157894736842104,
|
| 2609 |
-
"grad_norm": 0.570846438407898,
|
| 2610 |
-
"learning_rate": 0.00012116091360091261,
|
| 2611 |
-
"loss": 0.0545,
|
| 2612 |
-
"step": 174
|
| 2613 |
-
},
|
| 2614 |
-
{
|
| 2615 |
-
"epoch": 9.157894736842104,
|
| 2616 |
-
"eval_loss": 0.052096955478191376,
|
| 2617 |
-
"eval_runtime": 3.3964,
|
| 2618 |
-
"eval_samples_per_second": 8.833,
|
| 2619 |
-
"eval_steps_per_second": 1.178,
|
| 2620 |
-
"step": 174
|
| 2621 |
-
},
|
| 2622 |
-
{
|
| 2623 |
-
"epoch": 9.210526315789474,
|
| 2624 |
-
"grad_norm": 0.4484975337982178,
|
| 2625 |
-
"learning_rate": 0.00011830839511600211,
|
| 2626 |
-
"loss": 0.0334,
|
| 2627 |
-
"step": 175
|
| 2628 |
-
},
|
| 2629 |
-
{
|
| 2630 |
-
"epoch": 9.210526315789474,
|
| 2631 |
-
"eval_loss": 0.05176297202706337,
|
| 2632 |
-
"eval_runtime": 3.4033,
|
| 2633 |
-
"eval_samples_per_second": 8.815,
|
| 2634 |
-
"eval_steps_per_second": 1.175,
|
| 2635 |
-
"step": 175
|
| 2636 |
-
},
|
| 2637 |
-
{
|
| 2638 |
-
"epoch": 9.263157894736842,
|
| 2639 |
-
"grad_norm": 0.677650511264801,
|
| 2640 |
-
"learning_rate": 0.00011547941170915685,
|
| 2641 |
-
"loss": 0.0503,
|
| 2642 |
-
"step": 176
|
| 2643 |
-
},
|
| 2644 |
-
{
|
| 2645 |
-
"epoch": 9.263157894736842,
|
| 2646 |
-
"eval_loss": 0.05027133598923683,
|
| 2647 |
-
"eval_runtime": 3.4064,
|
| 2648 |
-
"eval_samples_per_second": 8.807,
|
| 2649 |
-
"eval_steps_per_second": 1.174,
|
| 2650 |
-
"step": 176
|
| 2651 |
-
},
|
| 2652 |
-
{
|
| 2653 |
-
"epoch": 9.31578947368421,
|
| 2654 |
-
"grad_norm": 0.5817425847053528,
|
| 2655 |
-
"learning_rate": 0.00011267446895812702,
|
| 2656 |
-
"loss": 0.0293,
|
| 2657 |
-
"step": 177
|
| 2658 |
-
},
|
| 2659 |
-
{
|
| 2660 |
-
"epoch": 9.31578947368421,
|
| 2661 |
-
"eval_loss": 0.049430813640356064,
|
| 2662 |
-
"eval_runtime": 3.4086,
|
| 2663 |
-
"eval_samples_per_second": 8.801,
|
| 2664 |
-
"eval_steps_per_second": 1.174,
|
| 2665 |
-
"step": 177
|
| 2666 |
-
},
|
| 2667 |
-
{
|
| 2668 |
-
"epoch": 9.368421052631579,
|
| 2669 |
-
"grad_norm": 0.970379114151001,
|
| 2670 |
-
"learning_rate": 0.0001098940681442713,
|
| 2671 |
-
"loss": 0.0679,
|
| 2672 |
-
"step": 178
|
| 2673 |
-
},
|
| 2674 |
-
{
|
| 2675 |
-
"epoch": 9.368421052631579,
|
| 2676 |
-
"eval_loss": 0.04337286949157715,
|
| 2677 |
-
"eval_runtime": 3.4,
|
| 2678 |
-
"eval_samples_per_second": 8.824,
|
| 2679 |
-
"eval_steps_per_second": 1.176,
|
| 2680 |
-
"step": 178
|
| 2681 |
-
},
|
| 2682 |
-
{
|
| 2683 |
-
"epoch": 9.421052631578947,
|
| 2684 |
-
"grad_norm": 0.4084687829017639,
|
| 2685 |
-
"learning_rate": 0.00010713870616297092,
|
| 2686 |
-
"loss": 0.0262,
|
| 2687 |
-
"step": 179
|
| 2688 |
-
},
|
| 2689 |
-
{
|
| 2690 |
-
"epoch": 9.421052631578947,
|
| 2691 |
-
"eval_loss": 0.03992774710059166,
|
| 2692 |
-
"eval_runtime": 3.4026,
|
| 2693 |
-
"eval_samples_per_second": 8.817,
|
| 2694 |
-
"eval_steps_per_second": 1.176,
|
| 2695 |
-
"step": 179
|
| 2696 |
-
},
|
| 2697 |
-
{
|
| 2698 |
-
"epoch": 9.473684210526315,
|
| 2699 |
-
"grad_norm": 0.650490939617157,
|
| 2700 |
-
"learning_rate": 0.00010440887543482746,
|
| 2701 |
-
"loss": 0.0407,
|
| 2702 |
-
"step": 180
|
| 2703 |
-
},
|
| 2704 |
-
{
|
| 2705 |
-
"epoch": 9.473684210526315,
|
| 2706 |
-
"eval_loss": 0.037015657871961594,
|
| 2707 |
-
"eval_runtime": 3.4003,
|
| 2708 |
-
"eval_samples_per_second": 8.823,
|
| 2709 |
-
"eval_steps_per_second": 1.176,
|
| 2710 |
-
"step": 180
|
| 2711 |
}
|
| 2712 |
],
|
| 2713 |
"logging_steps": 1,
|
|
@@ -2727,7 +1527,7 @@
|
|
| 2727 |
"attributes": {}
|
| 2728 |
}
|
| 2729 |
},
|
| 2730 |
-
"total_flos":
|
| 2731 |
"train_batch_size": 1,
|
| 2732 |
"trial_name": null,
|
| 2733 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_global_step": 99,
|
| 3 |
+
"best_metric": 0.43201857805252075,
|
| 4 |
+
"best_model_checkpoint": "/content/drive/MyDrive/lora_model/outputs/task15_microsoft/Phi-4-mini-instruct/checkpoint-90",
|
| 5 |
+
"epoch": 5.2631578947368425,
|
| 6 |
"eval_steps": 1,
|
| 7 |
+
"global_step": 100,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 1508 |
"eval_samples_per_second": 8.824,
|
| 1509 |
"eval_steps_per_second": 1.177,
|
| 1510 |
"step": 100
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1511 |
}
|
| 1512 |
],
|
| 1513 |
"logging_steps": 1,
|
|
|
|
| 1527 |
"attributes": {}
|
| 1528 |
}
|
| 1529 |
},
|
| 1530 |
+
"total_flos": 4061879153080320.0,
|
| 1531 |
"train_batch_size": 1,
|
| 1532 |
"trial_name": null,
|
| 1533 |
"trial_params": null
|