Training in progress, step 22000, 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 496262784
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:09db5475ee35a12c8b710afb6e180ab5bfcd8ce48967fc58bd5457a4e3977985
|
| 3 |
size 496262784
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 992621963
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ff60aa4ce7613d8a03c55e84221468eaecbd9f2572db7e051cb5a7fa0b4c3a04
|
| 3 |
size 992621963
|
last-checkpoint/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 sha256:4281625b7592c11b921e209e5b1131cddcd67ffe5764c2033c0ef0adb2d550bb
|
| 3 |
size 14645
|
last-checkpoint/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:a0231b5cc777a2809e149f15d91a081c8817fce35708f3c12c17c3012604a372
|
| 3 |
size 1465
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -2,9 +2,9 @@
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
-
"epoch": 0.
|
| 6 |
"eval_steps": 1000,
|
| 7 |
-
"global_step":
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
@@ -1588,6 +1588,164 @@
|
|
| 1588 |
"eval_samples_per_second": 329.872,
|
| 1589 |
"eval_steps_per_second": 20.734,
|
| 1590 |
"step": 20000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1591 |
}
|
| 1592 |
],
|
| 1593 |
"logging_steps": 100,
|
|
@@ -1607,7 +1765,7 @@
|
|
| 1607 |
"attributes": {}
|
| 1608 |
}
|
| 1609 |
},
|
| 1610 |
-
"total_flos": 6.
|
| 1611 |
"train_batch_size": 120,
|
| 1612 |
"trial_name": null,
|
| 1613 |
"trial_params": null
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.44,
|
| 6 |
"eval_steps": 1000,
|
| 7 |
+
"global_step": 22000,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 1588 |
"eval_samples_per_second": 329.872,
|
| 1589 |
"eval_steps_per_second": 20.734,
|
| 1590 |
"step": 20000
|
| 1591 |
+
},
|
| 1592 |
+
{
|
| 1593 |
+
"epoch": 0.402,
|
| 1594 |
+
"grad_norm": 0.20392677187919617,
|
| 1595 |
+
"learning_rate": 0.0003925432549872678,
|
| 1596 |
+
"loss": 3.467202453613281,
|
| 1597 |
+
"step": 20100
|
| 1598 |
+
},
|
| 1599 |
+
{
|
| 1600 |
+
"epoch": 0.404,
|
| 1601 |
+
"grad_norm": 0.21144644916057587,
|
| 1602 |
+
"learning_rate": 0.0003907430044951278,
|
| 1603 |
+
"loss": 3.463043212890625,
|
| 1604 |
+
"step": 20200
|
| 1605 |
+
},
|
| 1606 |
+
{
|
| 1607 |
+
"epoch": 0.406,
|
| 1608 |
+
"grad_norm": 0.1932135373353958,
|
| 1609 |
+
"learning_rate": 0.00038893915003323544,
|
| 1610 |
+
"loss": 3.484923095703125,
|
| 1611 |
+
"step": 20300
|
| 1612 |
+
},
|
| 1613 |
+
{
|
| 1614 |
+
"epoch": 0.408,
|
| 1615 |
+
"grad_norm": 0.20958249270915985,
|
| 1616 |
+
"learning_rate": 0.00038713176324388387,
|
| 1617 |
+
"loss": 3.483151550292969,
|
| 1618 |
+
"step": 20400
|
| 1619 |
+
},
|
| 1620 |
+
{
|
| 1621 |
+
"epoch": 0.41,
|
| 1622 |
+
"grad_norm": 0.4303552210330963,
|
| 1623 |
+
"learning_rate": 0.00038532091590965674,
|
| 1624 |
+
"loss": 3.477305603027344,
|
| 1625 |
+
"step": 20500
|
| 1626 |
+
},
|
| 1627 |
+
{
|
| 1628 |
+
"epoch": 0.412,
|
| 1629 |
+
"grad_norm": 0.20084762573242188,
|
| 1630 |
+
"learning_rate": 0.0003835066799505776,
|
| 1631 |
+
"loss": 3.47593994140625,
|
| 1632 |
+
"step": 20600
|
| 1633 |
+
},
|
| 1634 |
+
{
|
| 1635 |
+
"epoch": 0.414,
|
| 1636 |
+
"grad_norm": 0.18663835525512695,
|
| 1637 |
+
"learning_rate": 0.0003816891274212534,
|
| 1638 |
+
"loss": 3.465316162109375,
|
| 1639 |
+
"step": 20700
|
| 1640 |
+
},
|
| 1641 |
+
{
|
| 1642 |
+
"epoch": 0.416,
|
| 1643 |
+
"grad_norm": 0.1979358196258545,
|
| 1644 |
+
"learning_rate": 0.00037986833050801256,
|
| 1645 |
+
"loss": 3.465248718261719,
|
| 1646 |
+
"step": 20800
|
| 1647 |
+
},
|
| 1648 |
+
{
|
| 1649 |
+
"epoch": 0.418,
|
| 1650 |
+
"grad_norm": 0.20419807732105255,
|
| 1651 |
+
"learning_rate": 0.0003780443615260386,
|
| 1652 |
+
"loss": 3.4529428100585937,
|
| 1653 |
+
"step": 20900
|
| 1654 |
+
},
|
| 1655 |
+
{
|
| 1656 |
+
"epoch": 0.42,
|
| 1657 |
+
"grad_norm": 0.18685045838356018,
|
| 1658 |
+
"learning_rate": 0.0003762172929164974,
|
| 1659 |
+
"loss": 3.4456027221679686,
|
| 1660 |
+
"step": 21000
|
| 1661 |
+
},
|
| 1662 |
+
{
|
| 1663 |
+
"epoch": 0.42,
|
| 1664 |
+
"eval_accuracy": 0.3708611474909034,
|
| 1665 |
+
"eval_loss": 3.402836799621582,
|
| 1666 |
+
"eval_runtime": 5.7802,
|
| 1667 |
+
"eval_samples_per_second": 335.801,
|
| 1668 |
+
"eval_steps_per_second": 21.106,
|
| 1669 |
+
"step": 21000
|
| 1670 |
+
},
|
| 1671 |
+
{
|
| 1672 |
+
"epoch": 0.422,
|
| 1673 |
+
"grad_norm": 0.18441364169120789,
|
| 1674 |
+
"learning_rate": 0.0003743871972436601,
|
| 1675 |
+
"loss": 3.4683151245117188,
|
| 1676 |
+
"step": 21100
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 0.424,
|
| 1680 |
+
"grad_norm": 0.18499158322811127,
|
| 1681 |
+
"learning_rate": 0.0003725541471920217,
|
| 1682 |
+
"loss": 3.440291748046875,
|
| 1683 |
+
"step": 21200
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"epoch": 0.426,
|
| 1687 |
+
"grad_norm": 0.19171582162380219,
|
| 1688 |
+
"learning_rate": 0.00037071821556341393,
|
| 1689 |
+
"loss": 3.4521221923828125,
|
| 1690 |
+
"step": 21300
|
| 1691 |
+
},
|
| 1692 |
+
{
|
| 1693 |
+
"epoch": 0.428,
|
| 1694 |
+
"grad_norm": 0.2012597918510437,
|
| 1695 |
+
"learning_rate": 0.0003688794752741139,
|
| 1696 |
+
"loss": 3.4446597290039063,
|
| 1697 |
+
"step": 21400
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 0.43,
|
| 1701 |
+
"grad_norm": 0.20872637629508972,
|
| 1702 |
+
"learning_rate": 0.000367037999351948,
|
| 1703 |
+
"loss": 3.4504824829101564,
|
| 1704 |
+
"step": 21500
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"epoch": 0.432,
|
| 1708 |
+
"grad_norm": 0.19605720043182373,
|
| 1709 |
+
"learning_rate": 0.0003651938609333918,
|
| 1710 |
+
"loss": 3.432515869140625,
|
| 1711 |
+
"step": 21600
|
| 1712 |
+
},
|
| 1713 |
+
{
|
| 1714 |
+
"epoch": 0.434,
|
| 1715 |
+
"grad_norm": 0.21077193319797516,
|
| 1716 |
+
"learning_rate": 0.00036334713326066496,
|
| 1717 |
+
"loss": 3.430672607421875,
|
| 1718 |
+
"step": 21700
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 0.436,
|
| 1722 |
+
"grad_norm": 0.20861658453941345,
|
| 1723 |
+
"learning_rate": 0.00036149788967882265,
|
| 1724 |
+
"loss": 3.434753112792969,
|
| 1725 |
+
"step": 21800
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 0.438,
|
| 1729 |
+
"grad_norm": 0.18320897221565247,
|
| 1730 |
+
"learning_rate": 0.00035964620363284266,
|
| 1731 |
+
"loss": 3.4054229736328123,
|
| 1732 |
+
"step": 21900
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"epoch": 0.44,
|
| 1736 |
+
"grad_norm": 0.20277726650238037,
|
| 1737 |
+
"learning_rate": 0.00035779214866470794,
|
| 1738 |
+
"loss": 3.412484130859375,
|
| 1739 |
+
"step": 22000
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 0.44,
|
| 1743 |
+
"eval_accuracy": 0.37140054302511166,
|
| 1744 |
+
"eval_loss": 3.3950016498565674,
|
| 1745 |
+
"eval_runtime": 6.2447,
|
| 1746 |
+
"eval_samples_per_second": 310.823,
|
| 1747 |
+
"eval_steps_per_second": 19.537,
|
| 1748 |
+
"step": 22000
|
| 1749 |
}
|
| 1750 |
],
|
| 1751 |
"logging_steps": 100,
|
|
|
|
| 1765 |
"attributes": {}
|
| 1766 |
}
|
| 1767 |
},
|
| 1768 |
+
"total_flos": 6.8981096448e+17,
|
| 1769 |
"train_batch_size": 120,
|
| 1770 |
"trial_name": null,
|
| 1771 |
"trial_params": null
|