Training in progress, step 2500, 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 3809184360
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9fa628227eb6da8969ca4152626ddd662a6bc995ae11c142530103e8d809877f
|
| 3 |
size 3809184360
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2458291491
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ff0fa64aedf2efc21c7477814281486dfbb3531005e141ae798b948f4eb3eae1
|
| 3 |
size 2458291491
|
last-checkpoint/scaler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1383
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:45416cdce28d4e00ea87be782021fe7b8957b5e480b7287f76264062ed6fb579
|
| 3 |
size 1383
|
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 sha256:255c20227b8fb2aeae459402d3b34aa327a9576ffbb05f5a57e40623d3a94bf9
|
| 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":
|
| 6 |
"eval_steps": 500,
|
| 7 |
-
"global_step":
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
@@ -1583,6 +1583,181 @@
|
|
| 1583 |
"learning_rate": 5.141129032258065e-06,
|
| 1584 |
"loss": 0.2152,
|
| 1585 |
"step": 2250
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1586 |
}
|
| 1587 |
],
|
| 1588 |
"logging_steps": 10,
|
|
@@ -1597,12 +1772,12 @@
|
|
| 1597 |
"should_evaluate": false,
|
| 1598 |
"should_log": false,
|
| 1599 |
"should_save": true,
|
| 1600 |
-
"should_training_stop":
|
| 1601 |
},
|
| 1602 |
"attributes": {}
|
| 1603 |
}
|
| 1604 |
},
|
| 1605 |
-
"total_flos": 4.
|
| 1606 |
"train_batch_size": 2,
|
| 1607 |
"trial_name": null,
|
| 1608 |
"trial_params": null
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.0,
|
| 6 |
"eval_steps": 500,
|
| 7 |
+
"global_step": 2500,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 1583 |
"learning_rate": 5.141129032258065e-06,
|
| 1584 |
"loss": 0.2152,
|
| 1585 |
"step": 2250
|
| 1586 |
+
},
|
| 1587 |
+
{
|
| 1588 |
+
"epoch": 0.904,
|
| 1589 |
+
"grad_norm": 11.215507507324219,
|
| 1590 |
+
"learning_rate": 4.939516129032258e-06,
|
| 1591 |
+
"loss": 0.3383,
|
| 1592 |
+
"step": 2260
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"epoch": 0.908,
|
| 1596 |
+
"grad_norm": 8.459249496459961,
|
| 1597 |
+
"learning_rate": 4.737903225806452e-06,
|
| 1598 |
+
"loss": 0.301,
|
| 1599 |
+
"step": 2270
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"epoch": 0.912,
|
| 1603 |
+
"grad_norm": 3.8547234535217285,
|
| 1604 |
+
"learning_rate": 4.536290322580646e-06,
|
| 1605 |
+
"loss": 0.2018,
|
| 1606 |
+
"step": 2280
|
| 1607 |
+
},
|
| 1608 |
+
{
|
| 1609 |
+
"epoch": 0.916,
|
| 1610 |
+
"grad_norm": 4.500983238220215,
|
| 1611 |
+
"learning_rate": 4.33467741935484e-06,
|
| 1612 |
+
"loss": 0.2804,
|
| 1613 |
+
"step": 2290
|
| 1614 |
+
},
|
| 1615 |
+
{
|
| 1616 |
+
"epoch": 0.92,
|
| 1617 |
+
"grad_norm": 6.937648773193359,
|
| 1618 |
+
"learning_rate": 4.133064516129033e-06,
|
| 1619 |
+
"loss": 0.2368,
|
| 1620 |
+
"step": 2300
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"epoch": 0.924,
|
| 1624 |
+
"grad_norm": 9.027796745300293,
|
| 1625 |
+
"learning_rate": 3.931451612903226e-06,
|
| 1626 |
+
"loss": 0.3048,
|
| 1627 |
+
"step": 2310
|
| 1628 |
+
},
|
| 1629 |
+
{
|
| 1630 |
+
"epoch": 0.928,
|
| 1631 |
+
"grad_norm": 13.112957954406738,
|
| 1632 |
+
"learning_rate": 3.7298387096774197e-06,
|
| 1633 |
+
"loss": 0.2602,
|
| 1634 |
+
"step": 2320
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 0.932,
|
| 1638 |
+
"grad_norm": 8.331156730651855,
|
| 1639 |
+
"learning_rate": 3.5282258064516136e-06,
|
| 1640 |
+
"loss": 0.4963,
|
| 1641 |
+
"step": 2330
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 0.936,
|
| 1645 |
+
"grad_norm": 14.943937301635742,
|
| 1646 |
+
"learning_rate": 3.3266129032258062e-06,
|
| 1647 |
+
"loss": 0.2576,
|
| 1648 |
+
"step": 2340
|
| 1649 |
+
},
|
| 1650 |
+
{
|
| 1651 |
+
"epoch": 0.94,
|
| 1652 |
+
"grad_norm": 9.540063858032227,
|
| 1653 |
+
"learning_rate": 3.125e-06,
|
| 1654 |
+
"loss": 0.2683,
|
| 1655 |
+
"step": 2350
|
| 1656 |
+
},
|
| 1657 |
+
{
|
| 1658 |
+
"epoch": 0.944,
|
| 1659 |
+
"grad_norm": 6.233945369720459,
|
| 1660 |
+
"learning_rate": 2.9233870967741936e-06,
|
| 1661 |
+
"loss": 0.6162,
|
| 1662 |
+
"step": 2360
|
| 1663 |
+
},
|
| 1664 |
+
{
|
| 1665 |
+
"epoch": 0.948,
|
| 1666 |
+
"grad_norm": 5.329911708831787,
|
| 1667 |
+
"learning_rate": 2.721774193548387e-06,
|
| 1668 |
+
"loss": 0.283,
|
| 1669 |
+
"step": 2370
|
| 1670 |
+
},
|
| 1671 |
+
{
|
| 1672 |
+
"epoch": 0.952,
|
| 1673 |
+
"grad_norm": 5.373264789581299,
|
| 1674 |
+
"learning_rate": 2.5201612903225806e-06,
|
| 1675 |
+
"loss": 0.4888,
|
| 1676 |
+
"step": 2380
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 0.956,
|
| 1680 |
+
"grad_norm": 5.866879463195801,
|
| 1681 |
+
"learning_rate": 2.318548387096774e-06,
|
| 1682 |
+
"loss": 0.2366,
|
| 1683 |
+
"step": 2390
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"epoch": 0.96,
|
| 1687 |
+
"grad_norm": 6.051980972290039,
|
| 1688 |
+
"learning_rate": 2.1169354838709676e-06,
|
| 1689 |
+
"loss": 0.2216,
|
| 1690 |
+
"step": 2400
|
| 1691 |
+
},
|
| 1692 |
+
{
|
| 1693 |
+
"epoch": 0.964,
|
| 1694 |
+
"grad_norm": 8.556709289550781,
|
| 1695 |
+
"learning_rate": 1.9153225806451616e-06,
|
| 1696 |
+
"loss": 0.3197,
|
| 1697 |
+
"step": 2410
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 0.968,
|
| 1701 |
+
"grad_norm": 5.628035068511963,
|
| 1702 |
+
"learning_rate": 1.7137096774193548e-06,
|
| 1703 |
+
"loss": 0.2376,
|
| 1704 |
+
"step": 2420
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"epoch": 0.972,
|
| 1708 |
+
"grad_norm": 15.512683868408203,
|
| 1709 |
+
"learning_rate": 1.5120967741935486e-06,
|
| 1710 |
+
"loss": 0.2198,
|
| 1711 |
+
"step": 2430
|
| 1712 |
+
},
|
| 1713 |
+
{
|
| 1714 |
+
"epoch": 0.976,
|
| 1715 |
+
"grad_norm": 5.347922325134277,
|
| 1716 |
+
"learning_rate": 1.310483870967742e-06,
|
| 1717 |
+
"loss": 0.2435,
|
| 1718 |
+
"step": 2440
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 0.98,
|
| 1722 |
+
"grad_norm": 7.0029473304748535,
|
| 1723 |
+
"learning_rate": 1.1088709677419356e-06,
|
| 1724 |
+
"loss": 0.202,
|
| 1725 |
+
"step": 2450
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 0.984,
|
| 1729 |
+
"grad_norm": 10.346604347229004,
|
| 1730 |
+
"learning_rate": 9.072580645161292e-07,
|
| 1731 |
+
"loss": 0.2372,
|
| 1732 |
+
"step": 2460
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"epoch": 0.988,
|
| 1736 |
+
"grad_norm": 7.6713457107543945,
|
| 1737 |
+
"learning_rate": 7.056451612903225e-07,
|
| 1738 |
+
"loss": 0.6436,
|
| 1739 |
+
"step": 2470
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 0.992,
|
| 1743 |
+
"grad_norm": 5.280267715454102,
|
| 1744 |
+
"learning_rate": 5.040322580645161e-07,
|
| 1745 |
+
"loss": 0.2172,
|
| 1746 |
+
"step": 2480
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 0.996,
|
| 1750 |
+
"grad_norm": 9.70234203338623,
|
| 1751 |
+
"learning_rate": 3.024193548387097e-07,
|
| 1752 |
+
"loss": 0.2253,
|
| 1753 |
+
"step": 2490
|
| 1754 |
+
},
|
| 1755 |
+
{
|
| 1756 |
+
"epoch": 1.0,
|
| 1757 |
+
"grad_norm": 18.04475975036621,
|
| 1758 |
+
"learning_rate": 1.0080645161290322e-07,
|
| 1759 |
+
"loss": 0.2832,
|
| 1760 |
+
"step": 2500
|
| 1761 |
}
|
| 1762 |
],
|
| 1763 |
"logging_steps": 10,
|
|
|
|
| 1772 |
"should_evaluate": false,
|
| 1773 |
"should_log": false,
|
| 1774 |
"should_save": true,
|
| 1775 |
+
"should_training_stop": true
|
| 1776 |
},
|
| 1777 |
"attributes": {}
|
| 1778 |
}
|
| 1779 |
},
|
| 1780 |
+
"total_flos": 4.52093647947264e+16,
|
| 1781 |
"train_batch_size": 2,
|
| 1782 |
"trial_name": null,
|
| 1783 |
"trial_params": null
|