Training in progress, step 2400, checkpoint
Browse files
last-checkpoint/model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 140808752
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b66b2fbb13b44a406572091d0b2ac5937222c2e44b31cf15bb807dc45c240c8b
|
3 |
size 140808752
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 143306874
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8cad578cc347021d7e8a9333a51bfcf0ee3486a63a50413fba892f9c8b083dbc
|
3 |
size 143306874
|
last-checkpoint/rng_state.pth
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 14244
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:97474a95cf2d0e6166f036d8937e33ebebb2adb23cf1177f88edc10dc549c905
|
3 |
size 14244
|
last-checkpoint/scheduler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1064
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bf1f53caaa12767db3c6df563992bbf88f4b84dc57ec5080b22deb9c2c56ec6e
|
3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch": 0.
|
5 |
"eval_steps": 200,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
@@ -1495,6 +1495,302 @@
|
|
1495 |
"eval_samples_per_second": 164.61,
|
1496 |
"eval_steps_per_second": 41.207,
|
1497 |
"step": 2000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1498 |
}
|
1499 |
],
|
1500 |
"logging_steps": 10,
|
@@ -1514,7 +1810,7 @@
|
|
1514 |
"attributes": {}
|
1515 |
}
|
1516 |
},
|
1517 |
-
"total_flos":
|
1518 |
"train_batch_size": 4,
|
1519 |
"trial_name": null,
|
1520 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.7102693104468778,
|
5 |
"eval_steps": 200,
|
6 |
+
"global_step": 2400,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
|
|
1495 |
"eval_samples_per_second": 164.61,
|
1496 |
"eval_steps_per_second": 41.207,
|
1497 |
"step": 2000
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 0.5948505474992601,
|
1501 |
+
"grad_norm": 73.5,
|
1502 |
+
"learning_rate": 2.0280410844810428e-05,
|
1503 |
+
"loss": 7.5898,
|
1504 |
+
"step": 2010
|
1505 |
+
},
|
1506 |
+
{
|
1507 |
+
"epoch": 0.5978100029594554,
|
1508 |
+
"grad_norm": 29.625,
|
1509 |
+
"learning_rate": 1.9488821249060297e-05,
|
1510 |
+
"loss": 7.3119,
|
1511 |
+
"step": 2020
|
1512 |
+
},
|
1513 |
+
{
|
1514 |
+
"epoch": 0.6007694584196508,
|
1515 |
+
"grad_norm": 185.0,
|
1516 |
+
"learning_rate": 1.871131877836879e-05,
|
1517 |
+
"loss": 7.3793,
|
1518 |
+
"step": 2030
|
1519 |
+
},
|
1520 |
+
{
|
1521 |
+
"epoch": 0.6037289138798461,
|
1522 |
+
"grad_norm": 416.0,
|
1523 |
+
"learning_rate": 1.7948039473155554e-05,
|
1524 |
+
"loss": 7.2483,
|
1525 |
+
"step": 2040
|
1526 |
+
},
|
1527 |
+
{
|
1528 |
+
"epoch": 0.6066883693400414,
|
1529 |
+
"grad_norm": 2400.0,
|
1530 |
+
"learning_rate": 1.7199116885197995e-05,
|
1531 |
+
"loss": 7.5825,
|
1532 |
+
"step": 2050
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 0.6096478248002367,
|
1536 |
+
"grad_norm": 138.0,
|
1537 |
+
"learning_rate": 1.646468205426377e-05,
|
1538 |
+
"loss": 7.5139,
|
1539 |
+
"step": 2060
|
1540 |
+
},
|
1541 |
+
{
|
1542 |
+
"epoch": 0.6126072802604321,
|
1543 |
+
"grad_norm": 1120.0,
|
1544 |
+
"learning_rate": 1.5744863485182537e-05,
|
1545 |
+
"loss": 7.4844,
|
1546 |
+
"step": 2070
|
1547 |
+
},
|
1548 |
+
{
|
1549 |
+
"epoch": 0.6155667357206274,
|
1550 |
+
"grad_norm": 114.0,
|
1551 |
+
"learning_rate": 1.5039787125361326e-05,
|
1552 |
+
"loss": 7.3547,
|
1553 |
+
"step": 2080
|
1554 |
+
},
|
1555 |
+
{
|
1556 |
+
"epoch": 0.6185261911808227,
|
1557 |
+
"grad_norm": 126.5,
|
1558 |
+
"learning_rate": 1.4349576342747462e-05,
|
1559 |
+
"loss": 7.3867,
|
1560 |
+
"step": 2090
|
1561 |
+
},
|
1562 |
+
{
|
1563 |
+
"epoch": 0.621485646641018,
|
1564 |
+
"grad_norm": 78.0,
|
1565 |
+
"learning_rate": 1.3674351904242611e-05,
|
1566 |
+
"loss": 7.194,
|
1567 |
+
"step": 2100
|
1568 |
+
},
|
1569 |
+
{
|
1570 |
+
"epoch": 0.6244451021012134,
|
1571 |
+
"grad_norm": 77.5,
|
1572 |
+
"learning_rate": 1.3014231954572287e-05,
|
1573 |
+
"loss": 7.3503,
|
1574 |
+
"step": 2110
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 0.6274045575614087,
|
1578 |
+
"grad_norm": 230.0,
|
1579 |
+
"learning_rate": 1.2369331995613665e-05,
|
1580 |
+
"loss": 7.3932,
|
1581 |
+
"step": 2120
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 0.630364013021604,
|
1585 |
+
"grad_norm": 61.0,
|
1586 |
+
"learning_rate": 1.173976486618631e-05,
|
1587 |
+
"loss": 7.4046,
|
1588 |
+
"step": 2130
|
1589 |
+
},
|
1590 |
+
{
|
1591 |
+
"epoch": 0.6333234684817993,
|
1592 |
+
"grad_norm": 113.5,
|
1593 |
+
"learning_rate": 1.1125640722308628e-05,
|
1594 |
+
"loss": 7.4239,
|
1595 |
+
"step": 2140
|
1596 |
+
},
|
1597 |
+
{
|
1598 |
+
"epoch": 0.6362829239419947,
|
1599 |
+
"grad_norm": 192.0,
|
1600 |
+
"learning_rate": 1.0527067017923654e-05,
|
1601 |
+
"loss": 7.8214,
|
1602 |
+
"step": 2150
|
1603 |
+
},
|
1604 |
+
{
|
1605 |
+
"epoch": 0.63924237940219,
|
1606 |
+
"grad_norm": 122.0,
|
1607 |
+
"learning_rate": 9.944148486097793e-06,
|
1608 |
+
"loss": 7.4993,
|
1609 |
+
"step": 2160
|
1610 |
+
},
|
1611 |
+
{
|
1612 |
+
"epoch": 0.6422018348623854,
|
1613 |
+
"grad_norm": 87.5,
|
1614 |
+
"learning_rate": 9.376987120695545e-06,
|
1615 |
+
"loss": 7.2951,
|
1616 |
+
"step": 2170
|
1617 |
+
},
|
1618 |
+
{
|
1619 |
+
"epoch": 0.6451612903225806,
|
1620 |
+
"grad_norm": 44.75,
|
1621 |
+
"learning_rate": 8.825682158533554e-06,
|
1622 |
+
"loss": 7.2342,
|
1623 |
+
"step": 2180
|
1624 |
+
},
|
1625 |
+
{
|
1626 |
+
"epoch": 0.648120745782776,
|
1627 |
+
"grad_norm": 298.0,
|
1628 |
+
"learning_rate": 8.290330062017016e-06,
|
1629 |
+
"loss": 7.3409,
|
1630 |
+
"step": 2190
|
1631 |
+
},
|
1632 |
+
{
|
1633 |
+
"epoch": 0.6510802012429713,
|
1634 |
+
"grad_norm": 133.0,
|
1635 |
+
"learning_rate": 7.771024502261526e-06,
|
1636 |
+
"loss": 7.1213,
|
1637 |
+
"step": 2200
|
1638 |
+
},
|
1639 |
+
{
|
1640 |
+
"epoch": 0.6510802012429713,
|
1641 |
+
"eval_loss": 7.390503406524658,
|
1642 |
+
"eval_runtime": 8.9829,
|
1643 |
+
"eval_samples_per_second": 167.207,
|
1644 |
+
"eval_steps_per_second": 41.857,
|
1645 |
+
"step": 2200
|
1646 |
+
},
|
1647 |
+
{
|
1648 |
+
"epoch": 0.6540396567031667,
|
1649 |
+
"grad_norm": 94.0,
|
1650 |
+
"learning_rate": 7.267856342703461e-06,
|
1651 |
+
"loss": 7.5047,
|
1652 |
+
"step": 2210
|
1653 |
+
},
|
1654 |
+
{
|
1655 |
+
"epoch": 0.6569991121633619,
|
1656 |
+
"grad_norm": 320.0,
|
1657 |
+
"learning_rate": 6.780913623201346e-06,
|
1658 |
+
"loss": 7.2716,
|
1659 |
+
"step": 2220
|
1660 |
+
},
|
1661 |
+
{
|
1662 |
+
"epoch": 0.6599585676235573,
|
1663 |
+
"grad_norm": 21.0,
|
1664 |
+
"learning_rate": 6.310281544631546e-06,
|
1665 |
+
"loss": 7.4708,
|
1666 |
+
"step": 2230
|
1667 |
+
},
|
1668 |
+
{
|
1669 |
+
"epoch": 0.6629180230837526,
|
1670 |
+
"grad_norm": 233.0,
|
1671 |
+
"learning_rate": 5.856042453980526e-06,
|
1672 |
+
"loss": 7.4026,
|
1673 |
+
"step": 2240
|
1674 |
+
},
|
1675 |
+
{
|
1676 |
+
"epoch": 0.665877478543948,
|
1677 |
+
"grad_norm": 170.0,
|
1678 |
+
"learning_rate": 5.418275829936537e-06,
|
1679 |
+
"loss": 7.0923,
|
1680 |
+
"step": 2250
|
1681 |
+
},
|
1682 |
+
{
|
1683 |
+
"epoch": 0.6688369340041432,
|
1684 |
+
"grad_norm": 57.75,
|
1685 |
+
"learning_rate": 4.997058268983135e-06,
|
1686 |
+
"loss": 7.6658,
|
1687 |
+
"step": 2260
|
1688 |
+
},
|
1689 |
+
{
|
1690 |
+
"epoch": 0.6717963894643386,
|
1691 |
+
"grad_norm": 264.0,
|
1692 |
+
"learning_rate": 4.592463471997022e-06,
|
1693 |
+
"loss": 7.3902,
|
1694 |
+
"step": 2270
|
1695 |
+
},
|
1696 |
+
{
|
1697 |
+
"epoch": 0.6747558449245339,
|
1698 |
+
"grad_norm": 101.0,
|
1699 |
+
"learning_rate": 4.204562231352516e-06,
|
1700 |
+
"loss": 7.3701,
|
1701 |
+
"step": 2280
|
1702 |
+
},
|
1703 |
+
{
|
1704 |
+
"epoch": 0.6777153003847292,
|
1705 |
+
"grad_norm": 38.25,
|
1706 |
+
"learning_rate": 3.83342241853496e-06,
|
1707 |
+
"loss": 7.2345,
|
1708 |
+
"step": 2290
|
1709 |
+
},
|
1710 |
+
{
|
1711 |
+
"epoch": 0.6806747558449245,
|
1712 |
+
"grad_norm": 84.0,
|
1713 |
+
"learning_rate": 3.4791089722651436e-06,
|
1714 |
+
"loss": 7.3887,
|
1715 |
+
"step": 2300
|
1716 |
+
},
|
1717 |
+
{
|
1718 |
+
"epoch": 0.6836342113051198,
|
1719 |
+
"grad_norm": 199.0,
|
1720 |
+
"learning_rate": 3.1416838871368924e-06,
|
1721 |
+
"loss": 7.2888,
|
1722 |
+
"step": 2310
|
1723 |
+
},
|
1724 |
+
{
|
1725 |
+
"epoch": 0.6865936667653152,
|
1726 |
+
"grad_norm": 34.75,
|
1727 |
+
"learning_rate": 2.821206202769899e-06,
|
1728 |
+
"loss": 7.4502,
|
1729 |
+
"step": 2320
|
1730 |
+
},
|
1731 |
+
{
|
1732 |
+
"epoch": 0.6895531222255105,
|
1733 |
+
"grad_norm": 121.5,
|
1734 |
+
"learning_rate": 2.5177319934794e-06,
|
1735 |
+
"loss": 7.3453,
|
1736 |
+
"step": 2330
|
1737 |
+
},
|
1738 |
+
{
|
1739 |
+
"epoch": 0.6925125776857058,
|
1740 |
+
"grad_norm": 398.0,
|
1741 |
+
"learning_rate": 2.2313143584648423e-06,
|
1742 |
+
"loss": 7.489,
|
1743 |
+
"step": 2340
|
1744 |
+
},
|
1745 |
+
{
|
1746 |
+
"epoch": 0.6954720331459011,
|
1747 |
+
"grad_norm": 840.0,
|
1748 |
+
"learning_rate": 1.9620034125190644e-06,
|
1749 |
+
"loss": 7.2602,
|
1750 |
+
"step": 2350
|
1751 |
+
},
|
1752 |
+
{
|
1753 |
+
"epoch": 0.6984314886060965,
|
1754 |
+
"grad_norm": 47.0,
|
1755 |
+
"learning_rate": 1.7098462772596302e-06,
|
1756 |
+
"loss": 7.4021,
|
1757 |
+
"step": 2360
|
1758 |
+
},
|
1759 |
+
{
|
1760 |
+
"epoch": 0.7013909440662918,
|
1761 |
+
"grad_norm": 32.5,
|
1762 |
+
"learning_rate": 1.4748870728839347e-06,
|
1763 |
+
"loss": 7.2297,
|
1764 |
+
"step": 2370
|
1765 |
+
},
|
1766 |
+
{
|
1767 |
+
"epoch": 0.7043503995264871,
|
1768 |
+
"grad_norm": 25.375,
|
1769 |
+
"learning_rate": 1.2571669104494256e-06,
|
1770 |
+
"loss": 7.3295,
|
1771 |
+
"step": 2380
|
1772 |
+
},
|
1773 |
+
{
|
1774 |
+
"epoch": 0.7073098549866824,
|
1775 |
+
"grad_norm": 290.0,
|
1776 |
+
"learning_rate": 1.0567238846803996e-06,
|
1777 |
+
"loss": 7.3048,
|
1778 |
+
"step": 2390
|
1779 |
+
},
|
1780 |
+
{
|
1781 |
+
"epoch": 0.7102693104468778,
|
1782 |
+
"grad_norm": 74.0,
|
1783 |
+
"learning_rate": 8.735930673024806e-07,
|
1784 |
+
"loss": 7.2075,
|
1785 |
+
"step": 2400
|
1786 |
+
},
|
1787 |
+
{
|
1788 |
+
"epoch": 0.7102693104468778,
|
1789 |
+
"eval_loss": 7.393959045410156,
|
1790 |
+
"eval_runtime": 9.0065,
|
1791 |
+
"eval_samples_per_second": 166.769,
|
1792 |
+
"eval_steps_per_second": 41.748,
|
1793 |
+
"step": 2400
|
1794 |
}
|
1795 |
],
|
1796 |
"logging_steps": 10,
|
|
|
1810 |
"attributes": {}
|
1811 |
}
|
1812 |
},
|
1813 |
+
"total_flos": 5276812456230912.0,
|
1814 |
"train_batch_size": 4,
|
1815 |
"trial_name": null,
|
1816 |
"trial_params": null
|