Uploaded checkpoint-3000
Browse files- adapter_model.safetensors +1 -1
- optimizer.pt +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +719 -3
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 119975656
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8a4b05a5b65eb469f401a2ef2bb091ffae27e60f3ab9b87eeccdd1b89d55e021
|
| 3 |
size 119975656
|
optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 240145026
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:491a365467f19688384c47c41c87716a9585747c16862fa9ba0b732548ebc124
|
| 3 |
size 240145026
|
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:f7eeee07b40fef8c7bdf027c427b1fc8d6a45d979762d8d637d73e82015e5add
|
| 3 |
size 14244
|
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 sha256:770db92ac44ccb712216aece2abb8a41e68fd6d952c7ae7884e9032fb3cc3f81
|
| 3 |
size 1064
|
trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": 0.018277771770954132,
|
| 3 |
"best_model_checkpoint": "runs/deepseek_lora_20240424-122712/checkpoint-2000",
|
| 4 |
-
"epoch": 0.
|
| 5 |
"eval_steps": 500,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -1439,6 +1439,722 @@
|
|
| 1439 |
"eval_samples_per_second": 16.144,
|
| 1440 |
"eval_steps_per_second": 16.144,
|
| 1441 |
"step": 2000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1442 |
}
|
| 1443 |
],
|
| 1444 |
"logging_steps": 10,
|
|
@@ -1446,7 +2162,7 @@
|
|
| 1446 |
"num_input_tokens_seen": 0,
|
| 1447 |
"num_train_epochs": 2,
|
| 1448 |
"save_steps": 1000,
|
| 1449 |
-
"total_flos":
|
| 1450 |
"train_batch_size": 1,
|
| 1451 |
"trial_name": null,
|
| 1452 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": 0.018277771770954132,
|
| 3 |
"best_model_checkpoint": "runs/deepseek_lora_20240424-122712/checkpoint-2000",
|
| 4 |
+
"epoch": 0.9399232396020991,
|
| 5 |
"eval_steps": 500,
|
| 6 |
+
"global_step": 3000,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 1439 |
"eval_samples_per_second": 16.144,
|
| 1440 |
"eval_steps_per_second": 16.144,
|
| 1441 |
"step": 2000
|
| 1442 |
+
},
|
| 1443 |
+
{
|
| 1444 |
+
"epoch": 0.63,
|
| 1445 |
+
"grad_norm": 0.0024101065937429667,
|
| 1446 |
+
"learning_rate": 1.3288888888888889e-05,
|
| 1447 |
+
"loss": 0.047,
|
| 1448 |
+
"step": 2010
|
| 1449 |
+
},
|
| 1450 |
+
{
|
| 1451 |
+
"epoch": 0.63,
|
| 1452 |
+
"grad_norm": 0.013266036286950111,
|
| 1453 |
+
"learning_rate": 1.3244444444444447e-05,
|
| 1454 |
+
"loss": 0.0304,
|
| 1455 |
+
"step": 2020
|
| 1456 |
+
},
|
| 1457 |
+
{
|
| 1458 |
+
"epoch": 0.64,
|
| 1459 |
+
"grad_norm": 0.500153660774231,
|
| 1460 |
+
"learning_rate": 1.3200000000000002e-05,
|
| 1461 |
+
"loss": 0.0443,
|
| 1462 |
+
"step": 2030
|
| 1463 |
+
},
|
| 1464 |
+
{
|
| 1465 |
+
"epoch": 0.64,
|
| 1466 |
+
"grad_norm": 0.0013359179720282555,
|
| 1467 |
+
"learning_rate": 1.3155555555555558e-05,
|
| 1468 |
+
"loss": 0.0002,
|
| 1469 |
+
"step": 2040
|
| 1470 |
+
},
|
| 1471 |
+
{
|
| 1472 |
+
"epoch": 0.64,
|
| 1473 |
+
"grad_norm": 1.1259698867797852,
|
| 1474 |
+
"learning_rate": 1.3111111111111113e-05,
|
| 1475 |
+
"loss": 0.0382,
|
| 1476 |
+
"step": 2050
|
| 1477 |
+
},
|
| 1478 |
+
{
|
| 1479 |
+
"epoch": 0.65,
|
| 1480 |
+
"grad_norm": 0.009357116185128689,
|
| 1481 |
+
"learning_rate": 1.3066666666666668e-05,
|
| 1482 |
+
"loss": 0.0624,
|
| 1483 |
+
"step": 2060
|
| 1484 |
+
},
|
| 1485 |
+
{
|
| 1486 |
+
"epoch": 0.65,
|
| 1487 |
+
"grad_norm": 0.1253252774477005,
|
| 1488 |
+
"learning_rate": 1.3022222222222223e-05,
|
| 1489 |
+
"loss": 0.0734,
|
| 1490 |
+
"step": 2070
|
| 1491 |
+
},
|
| 1492 |
+
{
|
| 1493 |
+
"epoch": 0.65,
|
| 1494 |
+
"grad_norm": 0.0024754456244409084,
|
| 1495 |
+
"learning_rate": 1.2977777777777779e-05,
|
| 1496 |
+
"loss": 0.0683,
|
| 1497 |
+
"step": 2080
|
| 1498 |
+
},
|
| 1499 |
+
{
|
| 1500 |
+
"epoch": 0.65,
|
| 1501 |
+
"grad_norm": 1.6212913990020752,
|
| 1502 |
+
"learning_rate": 1.2933333333333334e-05,
|
| 1503 |
+
"loss": 0.0467,
|
| 1504 |
+
"step": 2090
|
| 1505 |
+
},
|
| 1506 |
+
{
|
| 1507 |
+
"epoch": 0.66,
|
| 1508 |
+
"grad_norm": 1.4906156063079834,
|
| 1509 |
+
"learning_rate": 1.288888888888889e-05,
|
| 1510 |
+
"loss": 0.1055,
|
| 1511 |
+
"step": 2100
|
| 1512 |
+
},
|
| 1513 |
+
{
|
| 1514 |
+
"epoch": 0.66,
|
| 1515 |
+
"grad_norm": 0.005489406641572714,
|
| 1516 |
+
"learning_rate": 1.2844444444444446e-05,
|
| 1517 |
+
"loss": 0.0425,
|
| 1518 |
+
"step": 2110
|
| 1519 |
+
},
|
| 1520 |
+
{
|
| 1521 |
+
"epoch": 0.66,
|
| 1522 |
+
"grad_norm": 0.018557880073785782,
|
| 1523 |
+
"learning_rate": 1.2800000000000001e-05,
|
| 1524 |
+
"loss": 0.0497,
|
| 1525 |
+
"step": 2120
|
| 1526 |
+
},
|
| 1527 |
+
{
|
| 1528 |
+
"epoch": 0.67,
|
| 1529 |
+
"grad_norm": 0.00175235525239259,
|
| 1530 |
+
"learning_rate": 1.2755555555555556e-05,
|
| 1531 |
+
"loss": 0.0517,
|
| 1532 |
+
"step": 2130
|
| 1533 |
+
},
|
| 1534 |
+
{
|
| 1535 |
+
"epoch": 0.67,
|
| 1536 |
+
"grad_norm": 0.002169775078073144,
|
| 1537 |
+
"learning_rate": 1.2711111111111112e-05,
|
| 1538 |
+
"loss": 0.038,
|
| 1539 |
+
"step": 2140
|
| 1540 |
+
},
|
| 1541 |
+
{
|
| 1542 |
+
"epoch": 0.67,
|
| 1543 |
+
"grad_norm": 0.004229371901601553,
|
| 1544 |
+
"learning_rate": 1.2666666666666667e-05,
|
| 1545 |
+
"loss": 0.0897,
|
| 1546 |
+
"step": 2150
|
| 1547 |
+
},
|
| 1548 |
+
{
|
| 1549 |
+
"epoch": 0.68,
|
| 1550 |
+
"grad_norm": 0.0044867489486932755,
|
| 1551 |
+
"learning_rate": 1.2622222222222222e-05,
|
| 1552 |
+
"loss": 0.092,
|
| 1553 |
+
"step": 2160
|
| 1554 |
+
},
|
| 1555 |
+
{
|
| 1556 |
+
"epoch": 0.68,
|
| 1557 |
+
"grad_norm": 0.00232448847964406,
|
| 1558 |
+
"learning_rate": 1.257777777777778e-05,
|
| 1559 |
+
"loss": 0.0474,
|
| 1560 |
+
"step": 2170
|
| 1561 |
+
},
|
| 1562 |
+
{
|
| 1563 |
+
"epoch": 0.68,
|
| 1564 |
+
"grad_norm": 0.10797467082738876,
|
| 1565 |
+
"learning_rate": 1.2533333333333336e-05,
|
| 1566 |
+
"loss": 0.0065,
|
| 1567 |
+
"step": 2180
|
| 1568 |
+
},
|
| 1569 |
+
{
|
| 1570 |
+
"epoch": 0.69,
|
| 1571 |
+
"grad_norm": 0.001698866835795343,
|
| 1572 |
+
"learning_rate": 1.2488888888888891e-05,
|
| 1573 |
+
"loss": 0.1059,
|
| 1574 |
+
"step": 2190
|
| 1575 |
+
},
|
| 1576 |
+
{
|
| 1577 |
+
"epoch": 0.69,
|
| 1578 |
+
"grad_norm": 0.0014356509782373905,
|
| 1579 |
+
"learning_rate": 1.2444444444444446e-05,
|
| 1580 |
+
"loss": 0.0352,
|
| 1581 |
+
"step": 2200
|
| 1582 |
+
},
|
| 1583 |
+
{
|
| 1584 |
+
"epoch": 0.69,
|
| 1585 |
+
"grad_norm": 0.001666803378611803,
|
| 1586 |
+
"learning_rate": 1.2400000000000002e-05,
|
| 1587 |
+
"loss": 0.0723,
|
| 1588 |
+
"step": 2210
|
| 1589 |
+
},
|
| 1590 |
+
{
|
| 1591 |
+
"epoch": 0.7,
|
| 1592 |
+
"grad_norm": 1.3424423933029175,
|
| 1593 |
+
"learning_rate": 1.2355555555555557e-05,
|
| 1594 |
+
"loss": 0.029,
|
| 1595 |
+
"step": 2220
|
| 1596 |
+
},
|
| 1597 |
+
{
|
| 1598 |
+
"epoch": 0.7,
|
| 1599 |
+
"grad_norm": 0.0017589009366929531,
|
| 1600 |
+
"learning_rate": 1.2311111111111112e-05,
|
| 1601 |
+
"loss": 0.0261,
|
| 1602 |
+
"step": 2230
|
| 1603 |
+
},
|
| 1604 |
+
{
|
| 1605 |
+
"epoch": 0.7,
|
| 1606 |
+
"grad_norm": 2.2947793006896973,
|
| 1607 |
+
"learning_rate": 1.2266666666666667e-05,
|
| 1608 |
+
"loss": 0.1309,
|
| 1609 |
+
"step": 2240
|
| 1610 |
+
},
|
| 1611 |
+
{
|
| 1612 |
+
"epoch": 0.7,
|
| 1613 |
+
"grad_norm": 2.9271962642669678,
|
| 1614 |
+
"learning_rate": 1.2222222222222224e-05,
|
| 1615 |
+
"loss": 0.062,
|
| 1616 |
+
"step": 2250
|
| 1617 |
+
},
|
| 1618 |
+
{
|
| 1619 |
+
"epoch": 0.71,
|
| 1620 |
+
"grad_norm": 0.006457278039306402,
|
| 1621 |
+
"learning_rate": 1.217777777777778e-05,
|
| 1622 |
+
"loss": 0.0099,
|
| 1623 |
+
"step": 2260
|
| 1624 |
+
},
|
| 1625 |
+
{
|
| 1626 |
+
"epoch": 0.71,
|
| 1627 |
+
"grad_norm": 1.2980073690414429,
|
| 1628 |
+
"learning_rate": 1.2133333333333335e-05,
|
| 1629 |
+
"loss": 0.0846,
|
| 1630 |
+
"step": 2270
|
| 1631 |
+
},
|
| 1632 |
+
{
|
| 1633 |
+
"epoch": 0.71,
|
| 1634 |
+
"grad_norm": 0.0023306766524910927,
|
| 1635 |
+
"learning_rate": 1.208888888888889e-05,
|
| 1636 |
+
"loss": 0.028,
|
| 1637 |
+
"step": 2280
|
| 1638 |
+
},
|
| 1639 |
+
{
|
| 1640 |
+
"epoch": 0.72,
|
| 1641 |
+
"grad_norm": 0.0022570204455405474,
|
| 1642 |
+
"learning_rate": 1.2044444444444445e-05,
|
| 1643 |
+
"loss": 0.0283,
|
| 1644 |
+
"step": 2290
|
| 1645 |
+
},
|
| 1646 |
+
{
|
| 1647 |
+
"epoch": 0.72,
|
| 1648 |
+
"grad_norm": 0.0026164520531892776,
|
| 1649 |
+
"learning_rate": 1.2e-05,
|
| 1650 |
+
"loss": 0.0502,
|
| 1651 |
+
"step": 2300
|
| 1652 |
+
},
|
| 1653 |
+
{
|
| 1654 |
+
"epoch": 0.72,
|
| 1655 |
+
"grad_norm": 0.0019713249057531357,
|
| 1656 |
+
"learning_rate": 1.1955555555555556e-05,
|
| 1657 |
+
"loss": 0.0354,
|
| 1658 |
+
"step": 2310
|
| 1659 |
+
},
|
| 1660 |
+
{
|
| 1661 |
+
"epoch": 0.73,
|
| 1662 |
+
"grad_norm": 0.00487458985298872,
|
| 1663 |
+
"learning_rate": 1.191111111111111e-05,
|
| 1664 |
+
"loss": 0.0579,
|
| 1665 |
+
"step": 2320
|
| 1666 |
+
},
|
| 1667 |
+
{
|
| 1668 |
+
"epoch": 0.73,
|
| 1669 |
+
"grad_norm": 0.002555105835199356,
|
| 1670 |
+
"learning_rate": 1.186666666666667e-05,
|
| 1671 |
+
"loss": 0.0566,
|
| 1672 |
+
"step": 2330
|
| 1673 |
+
},
|
| 1674 |
+
{
|
| 1675 |
+
"epoch": 0.73,
|
| 1676 |
+
"grad_norm": 0.28949007391929626,
|
| 1677 |
+
"learning_rate": 1.1822222222222225e-05,
|
| 1678 |
+
"loss": 0.0149,
|
| 1679 |
+
"step": 2340
|
| 1680 |
+
},
|
| 1681 |
+
{
|
| 1682 |
+
"epoch": 0.74,
|
| 1683 |
+
"grad_norm": 0.5910075902938843,
|
| 1684 |
+
"learning_rate": 1.177777777777778e-05,
|
| 1685 |
+
"loss": 0.075,
|
| 1686 |
+
"step": 2350
|
| 1687 |
+
},
|
| 1688 |
+
{
|
| 1689 |
+
"epoch": 0.74,
|
| 1690 |
+
"grad_norm": 0.001737405196763575,
|
| 1691 |
+
"learning_rate": 1.1733333333333335e-05,
|
| 1692 |
+
"loss": 0.0469,
|
| 1693 |
+
"step": 2360
|
| 1694 |
+
},
|
| 1695 |
+
{
|
| 1696 |
+
"epoch": 0.74,
|
| 1697 |
+
"grad_norm": 5.248105049133301,
|
| 1698 |
+
"learning_rate": 1.168888888888889e-05,
|
| 1699 |
+
"loss": 0.0715,
|
| 1700 |
+
"step": 2370
|
| 1701 |
+
},
|
| 1702 |
+
{
|
| 1703 |
+
"epoch": 0.75,
|
| 1704 |
+
"grad_norm": 0.0018054692773148417,
|
| 1705 |
+
"learning_rate": 1.1644444444444446e-05,
|
| 1706 |
+
"loss": 0.0354,
|
| 1707 |
+
"step": 2380
|
| 1708 |
+
},
|
| 1709 |
+
{
|
| 1710 |
+
"epoch": 0.75,
|
| 1711 |
+
"grad_norm": 0.001644105650484562,
|
| 1712 |
+
"learning_rate": 1.16e-05,
|
| 1713 |
+
"loss": 0.0321,
|
| 1714 |
+
"step": 2390
|
| 1715 |
+
},
|
| 1716 |
+
{
|
| 1717 |
+
"epoch": 0.75,
|
| 1718 |
+
"grad_norm": 0.001677204272709787,
|
| 1719 |
+
"learning_rate": 1.1555555555555556e-05,
|
| 1720 |
+
"loss": 0.0183,
|
| 1721 |
+
"step": 2400
|
| 1722 |
+
},
|
| 1723 |
+
{
|
| 1724 |
+
"epoch": 0.76,
|
| 1725 |
+
"grad_norm": 3.1084885597229004,
|
| 1726 |
+
"learning_rate": 1.1511111111111113e-05,
|
| 1727 |
+
"loss": 0.029,
|
| 1728 |
+
"step": 2410
|
| 1729 |
+
},
|
| 1730 |
+
{
|
| 1731 |
+
"epoch": 0.76,
|
| 1732 |
+
"grad_norm": 0.007074132561683655,
|
| 1733 |
+
"learning_rate": 1.1466666666666668e-05,
|
| 1734 |
+
"loss": 0.0525,
|
| 1735 |
+
"step": 2420
|
| 1736 |
+
},
|
| 1737 |
+
{
|
| 1738 |
+
"epoch": 0.76,
|
| 1739 |
+
"grad_norm": 0.0032486789859831333,
|
| 1740 |
+
"learning_rate": 1.1422222222222223e-05,
|
| 1741 |
+
"loss": 0.0338,
|
| 1742 |
+
"step": 2430
|
| 1743 |
+
},
|
| 1744 |
+
{
|
| 1745 |
+
"epoch": 0.76,
|
| 1746 |
+
"grad_norm": 2.797699213027954,
|
| 1747 |
+
"learning_rate": 1.1377777777777779e-05,
|
| 1748 |
+
"loss": 0.1017,
|
| 1749 |
+
"step": 2440
|
| 1750 |
+
},
|
| 1751 |
+
{
|
| 1752 |
+
"epoch": 0.77,
|
| 1753 |
+
"grad_norm": 1.977303385734558,
|
| 1754 |
+
"learning_rate": 1.1333333333333334e-05,
|
| 1755 |
+
"loss": 0.061,
|
| 1756 |
+
"step": 2450
|
| 1757 |
+
},
|
| 1758 |
+
{
|
| 1759 |
+
"epoch": 0.77,
|
| 1760 |
+
"grad_norm": 4.702297210693359,
|
| 1761 |
+
"learning_rate": 1.1288888888888889e-05,
|
| 1762 |
+
"loss": 0.0382,
|
| 1763 |
+
"step": 2460
|
| 1764 |
+
},
|
| 1765 |
+
{
|
| 1766 |
+
"epoch": 0.77,
|
| 1767 |
+
"grad_norm": 0.05130983144044876,
|
| 1768 |
+
"learning_rate": 1.1244444444444444e-05,
|
| 1769 |
+
"loss": 0.0273,
|
| 1770 |
+
"step": 2470
|
| 1771 |
+
},
|
| 1772 |
+
{
|
| 1773 |
+
"epoch": 0.78,
|
| 1774 |
+
"grad_norm": 0.001360241905786097,
|
| 1775 |
+
"learning_rate": 1.1200000000000001e-05,
|
| 1776 |
+
"loss": 0.0615,
|
| 1777 |
+
"step": 2480
|
| 1778 |
+
},
|
| 1779 |
+
{
|
| 1780 |
+
"epoch": 0.78,
|
| 1781 |
+
"grad_norm": 0.65842205286026,
|
| 1782 |
+
"learning_rate": 1.1155555555555556e-05,
|
| 1783 |
+
"loss": 0.0349,
|
| 1784 |
+
"step": 2490
|
| 1785 |
+
},
|
| 1786 |
+
{
|
| 1787 |
+
"epoch": 0.78,
|
| 1788 |
+
"grad_norm": 0.0062817600555717945,
|
| 1789 |
+
"learning_rate": 1.1111111111111113e-05,
|
| 1790 |
+
"loss": 0.055,
|
| 1791 |
+
"step": 2500
|
| 1792 |
+
},
|
| 1793 |
+
{
|
| 1794 |
+
"epoch": 0.78,
|
| 1795 |
+
"eval_loss": 0.020550861954689026,
|
| 1796 |
+
"eval_runtime": 61.9123,
|
| 1797 |
+
"eval_samples_per_second": 16.152,
|
| 1798 |
+
"eval_steps_per_second": 16.152,
|
| 1799 |
+
"step": 2500
|
| 1800 |
+
},
|
| 1801 |
+
{
|
| 1802 |
+
"epoch": 0.79,
|
| 1803 |
+
"grad_norm": 0.002629642840474844,
|
| 1804 |
+
"learning_rate": 1.1066666666666669e-05,
|
| 1805 |
+
"loss": 0.0775,
|
| 1806 |
+
"step": 2510
|
| 1807 |
+
},
|
| 1808 |
+
{
|
| 1809 |
+
"epoch": 0.79,
|
| 1810 |
+
"grad_norm": 0.003445986658334732,
|
| 1811 |
+
"learning_rate": 1.1022222222222224e-05,
|
| 1812 |
+
"loss": 0.0285,
|
| 1813 |
+
"step": 2520
|
| 1814 |
+
},
|
| 1815 |
+
{
|
| 1816 |
+
"epoch": 0.79,
|
| 1817 |
+
"grad_norm": 2.4178996086120605,
|
| 1818 |
+
"learning_rate": 1.0977777777777779e-05,
|
| 1819 |
+
"loss": 0.1755,
|
| 1820 |
+
"step": 2530
|
| 1821 |
+
},
|
| 1822 |
+
{
|
| 1823 |
+
"epoch": 0.8,
|
| 1824 |
+
"grad_norm": 0.0058800880797207355,
|
| 1825 |
+
"learning_rate": 1.0933333333333334e-05,
|
| 1826 |
+
"loss": 0.0055,
|
| 1827 |
+
"step": 2540
|
| 1828 |
+
},
|
| 1829 |
+
{
|
| 1830 |
+
"epoch": 0.8,
|
| 1831 |
+
"grad_norm": 0.013078362680971622,
|
| 1832 |
+
"learning_rate": 1.088888888888889e-05,
|
| 1833 |
+
"loss": 0.0088,
|
| 1834 |
+
"step": 2550
|
| 1835 |
+
},
|
| 1836 |
+
{
|
| 1837 |
+
"epoch": 0.8,
|
| 1838 |
+
"grad_norm": 0.0052205640822649,
|
| 1839 |
+
"learning_rate": 1.0844444444444446e-05,
|
| 1840 |
+
"loss": 0.023,
|
| 1841 |
+
"step": 2560
|
| 1842 |
+
},
|
| 1843 |
+
{
|
| 1844 |
+
"epoch": 0.81,
|
| 1845 |
+
"grad_norm": 1.2594823837280273,
|
| 1846 |
+
"learning_rate": 1.0800000000000002e-05,
|
| 1847 |
+
"loss": 0.0222,
|
| 1848 |
+
"step": 2570
|
| 1849 |
+
},
|
| 1850 |
+
{
|
| 1851 |
+
"epoch": 0.81,
|
| 1852 |
+
"grad_norm": 3.3159544467926025,
|
| 1853 |
+
"learning_rate": 1.0755555555555557e-05,
|
| 1854 |
+
"loss": 0.0426,
|
| 1855 |
+
"step": 2580
|
| 1856 |
+
},
|
| 1857 |
+
{
|
| 1858 |
+
"epoch": 0.81,
|
| 1859 |
+
"grad_norm": 2.103391647338867,
|
| 1860 |
+
"learning_rate": 1.0711111111111112e-05,
|
| 1861 |
+
"loss": 0.0457,
|
| 1862 |
+
"step": 2590
|
| 1863 |
+
},
|
| 1864 |
+
{
|
| 1865 |
+
"epoch": 0.81,
|
| 1866 |
+
"grad_norm": 0.000918123172596097,
|
| 1867 |
+
"learning_rate": 1.0666666666666667e-05,
|
| 1868 |
+
"loss": 0.0391,
|
| 1869 |
+
"step": 2600
|
| 1870 |
+
},
|
| 1871 |
+
{
|
| 1872 |
+
"epoch": 0.82,
|
| 1873 |
+
"grad_norm": 0.0012873125961050391,
|
| 1874 |
+
"learning_rate": 1.0622222222222223e-05,
|
| 1875 |
+
"loss": 0.0217,
|
| 1876 |
+
"step": 2610
|
| 1877 |
+
},
|
| 1878 |
+
{
|
| 1879 |
+
"epoch": 0.82,
|
| 1880 |
+
"grad_norm": 0.002058672485873103,
|
| 1881 |
+
"learning_rate": 1.0577777777777778e-05,
|
| 1882 |
+
"loss": 0.0463,
|
| 1883 |
+
"step": 2620
|
| 1884 |
+
},
|
| 1885 |
+
{
|
| 1886 |
+
"epoch": 0.82,
|
| 1887 |
+
"grad_norm": 0.027771245688199997,
|
| 1888 |
+
"learning_rate": 1.0533333333333333e-05,
|
| 1889 |
+
"loss": 0.0805,
|
| 1890 |
+
"step": 2630
|
| 1891 |
+
},
|
| 1892 |
+
{
|
| 1893 |
+
"epoch": 0.83,
|
| 1894 |
+
"grad_norm": 0.0015083320904523134,
|
| 1895 |
+
"learning_rate": 1.048888888888889e-05,
|
| 1896 |
+
"loss": 0.05,
|
| 1897 |
+
"step": 2640
|
| 1898 |
+
},
|
| 1899 |
+
{
|
| 1900 |
+
"epoch": 0.83,
|
| 1901 |
+
"grad_norm": 2.7888853549957275,
|
| 1902 |
+
"learning_rate": 1.0444444444444445e-05,
|
| 1903 |
+
"loss": 0.0752,
|
| 1904 |
+
"step": 2650
|
| 1905 |
+
},
|
| 1906 |
+
{
|
| 1907 |
+
"epoch": 0.83,
|
| 1908 |
+
"grad_norm": 3.569105863571167,
|
| 1909 |
+
"learning_rate": 1.04e-05,
|
| 1910 |
+
"loss": 0.0585,
|
| 1911 |
+
"step": 2660
|
| 1912 |
+
},
|
| 1913 |
+
{
|
| 1914 |
+
"epoch": 0.84,
|
| 1915 |
+
"grad_norm": 0.034804560244083405,
|
| 1916 |
+
"learning_rate": 1.0355555555555557e-05,
|
| 1917 |
+
"loss": 0.0113,
|
| 1918 |
+
"step": 2670
|
| 1919 |
+
},
|
| 1920 |
+
{
|
| 1921 |
+
"epoch": 0.84,
|
| 1922 |
+
"grad_norm": 0.0017612408846616745,
|
| 1923 |
+
"learning_rate": 1.0311111111111113e-05,
|
| 1924 |
+
"loss": 0.0535,
|
| 1925 |
+
"step": 2680
|
| 1926 |
+
},
|
| 1927 |
+
{
|
| 1928 |
+
"epoch": 0.84,
|
| 1929 |
+
"grad_norm": 0.0011774456361308694,
|
| 1930 |
+
"learning_rate": 1.0266666666666668e-05,
|
| 1931 |
+
"loss": 0.0622,
|
| 1932 |
+
"step": 2690
|
| 1933 |
+
},
|
| 1934 |
+
{
|
| 1935 |
+
"epoch": 0.85,
|
| 1936 |
+
"grad_norm": 2.2724449634552,
|
| 1937 |
+
"learning_rate": 1.0222222222222223e-05,
|
| 1938 |
+
"loss": 0.0059,
|
| 1939 |
+
"step": 2700
|
| 1940 |
+
},
|
| 1941 |
+
{
|
| 1942 |
+
"epoch": 0.85,
|
| 1943 |
+
"grad_norm": 0.8430375456809998,
|
| 1944 |
+
"learning_rate": 1.0177777777777778e-05,
|
| 1945 |
+
"loss": 0.043,
|
| 1946 |
+
"step": 2710
|
| 1947 |
+
},
|
| 1948 |
+
{
|
| 1949 |
+
"epoch": 0.85,
|
| 1950 |
+
"grad_norm": 2.0912680625915527,
|
| 1951 |
+
"learning_rate": 1.0133333333333335e-05,
|
| 1952 |
+
"loss": 0.0356,
|
| 1953 |
+
"step": 2720
|
| 1954 |
+
},
|
| 1955 |
+
{
|
| 1956 |
+
"epoch": 0.86,
|
| 1957 |
+
"grad_norm": 0.043006353080272675,
|
| 1958 |
+
"learning_rate": 1.008888888888889e-05,
|
| 1959 |
+
"loss": 0.0247,
|
| 1960 |
+
"step": 2730
|
| 1961 |
+
},
|
| 1962 |
+
{
|
| 1963 |
+
"epoch": 0.86,
|
| 1964 |
+
"grad_norm": 0.0013607463333755732,
|
| 1965 |
+
"learning_rate": 1.0044444444444446e-05,
|
| 1966 |
+
"loss": 0.0115,
|
| 1967 |
+
"step": 2740
|
| 1968 |
+
},
|
| 1969 |
+
{
|
| 1970 |
+
"epoch": 0.86,
|
| 1971 |
+
"grad_norm": 0.003235200187191367,
|
| 1972 |
+
"learning_rate": 1e-05,
|
| 1973 |
+
"loss": 0.0447,
|
| 1974 |
+
"step": 2750
|
| 1975 |
+
},
|
| 1976 |
+
{
|
| 1977 |
+
"epoch": 0.86,
|
| 1978 |
+
"grad_norm": 0.006067329086363316,
|
| 1979 |
+
"learning_rate": 9.955555555555556e-06,
|
| 1980 |
+
"loss": 0.049,
|
| 1981 |
+
"step": 2760
|
| 1982 |
+
},
|
| 1983 |
+
{
|
| 1984 |
+
"epoch": 0.87,
|
| 1985 |
+
"grad_norm": 0.001446689828298986,
|
| 1986 |
+
"learning_rate": 9.911111111111113e-06,
|
| 1987 |
+
"loss": 0.0502,
|
| 1988 |
+
"step": 2770
|
| 1989 |
+
},
|
| 1990 |
+
{
|
| 1991 |
+
"epoch": 0.87,
|
| 1992 |
+
"grad_norm": 0.0018873319495469332,
|
| 1993 |
+
"learning_rate": 9.866666666666668e-06,
|
| 1994 |
+
"loss": 0.0854,
|
| 1995 |
+
"step": 2780
|
| 1996 |
+
},
|
| 1997 |
+
{
|
| 1998 |
+
"epoch": 0.87,
|
| 1999 |
+
"grad_norm": 0.002605983056128025,
|
| 2000 |
+
"learning_rate": 9.822222222222223e-06,
|
| 2001 |
+
"loss": 0.0284,
|
| 2002 |
+
"step": 2790
|
| 2003 |
+
},
|
| 2004 |
+
{
|
| 2005 |
+
"epoch": 0.88,
|
| 2006 |
+
"grad_norm": 0.002705740975216031,
|
| 2007 |
+
"learning_rate": 9.777777777777779e-06,
|
| 2008 |
+
"loss": 0.0639,
|
| 2009 |
+
"step": 2800
|
| 2010 |
+
},
|
| 2011 |
+
{
|
| 2012 |
+
"epoch": 0.88,
|
| 2013 |
+
"grad_norm": 0.004726971033960581,
|
| 2014 |
+
"learning_rate": 9.733333333333334e-06,
|
| 2015 |
+
"loss": 0.1064,
|
| 2016 |
+
"step": 2810
|
| 2017 |
+
},
|
| 2018 |
+
{
|
| 2019 |
+
"epoch": 0.88,
|
| 2020 |
+
"grad_norm": 0.01625528745353222,
|
| 2021 |
+
"learning_rate": 9.688888888888889e-06,
|
| 2022 |
+
"loss": 0.0679,
|
| 2023 |
+
"step": 2820
|
| 2024 |
+
},
|
| 2025 |
+
{
|
| 2026 |
+
"epoch": 0.89,
|
| 2027 |
+
"grad_norm": 1.4221800565719604,
|
| 2028 |
+
"learning_rate": 9.644444444444444e-06,
|
| 2029 |
+
"loss": 0.0504,
|
| 2030 |
+
"step": 2830
|
| 2031 |
+
},
|
| 2032 |
+
{
|
| 2033 |
+
"epoch": 0.89,
|
| 2034 |
+
"grad_norm": 1.1785073280334473,
|
| 2035 |
+
"learning_rate": 9.600000000000001e-06,
|
| 2036 |
+
"loss": 0.0574,
|
| 2037 |
+
"step": 2840
|
| 2038 |
+
},
|
| 2039 |
+
{
|
| 2040 |
+
"epoch": 0.89,
|
| 2041 |
+
"grad_norm": 0.0024502715095877647,
|
| 2042 |
+
"learning_rate": 9.555555555555556e-06,
|
| 2043 |
+
"loss": 0.0211,
|
| 2044 |
+
"step": 2850
|
| 2045 |
+
},
|
| 2046 |
+
{
|
| 2047 |
+
"epoch": 0.9,
|
| 2048 |
+
"grad_norm": 0.0017725643701851368,
|
| 2049 |
+
"learning_rate": 9.511111111111112e-06,
|
| 2050 |
+
"loss": 0.057,
|
| 2051 |
+
"step": 2860
|
| 2052 |
+
},
|
| 2053 |
+
{
|
| 2054 |
+
"epoch": 0.9,
|
| 2055 |
+
"grad_norm": 0.0027383696287870407,
|
| 2056 |
+
"learning_rate": 9.466666666666667e-06,
|
| 2057 |
+
"loss": 0.1225,
|
| 2058 |
+
"step": 2870
|
| 2059 |
+
},
|
| 2060 |
+
{
|
| 2061 |
+
"epoch": 0.9,
|
| 2062 |
+
"grad_norm": 0.00296800397336483,
|
| 2063 |
+
"learning_rate": 9.422222222222222e-06,
|
| 2064 |
+
"loss": 0.0167,
|
| 2065 |
+
"step": 2880
|
| 2066 |
+
},
|
| 2067 |
+
{
|
| 2068 |
+
"epoch": 0.91,
|
| 2069 |
+
"grad_norm": 0.003540828125551343,
|
| 2070 |
+
"learning_rate": 9.377777777777779e-06,
|
| 2071 |
+
"loss": 0.0484,
|
| 2072 |
+
"step": 2890
|
| 2073 |
+
},
|
| 2074 |
+
{
|
| 2075 |
+
"epoch": 0.91,
|
| 2076 |
+
"grad_norm": 0.03577937185764313,
|
| 2077 |
+
"learning_rate": 9.333333333333334e-06,
|
| 2078 |
+
"loss": 0.0334,
|
| 2079 |
+
"step": 2900
|
| 2080 |
+
},
|
| 2081 |
+
{
|
| 2082 |
+
"epoch": 0.91,
|
| 2083 |
+
"grad_norm": 0.0013176521752029657,
|
| 2084 |
+
"learning_rate": 9.28888888888889e-06,
|
| 2085 |
+
"loss": 0.0706,
|
| 2086 |
+
"step": 2910
|
| 2087 |
+
},
|
| 2088 |
+
{
|
| 2089 |
+
"epoch": 0.91,
|
| 2090 |
+
"grad_norm": 0.0014053646009415388,
|
| 2091 |
+
"learning_rate": 9.244444444444445e-06,
|
| 2092 |
+
"loss": 0.0206,
|
| 2093 |
+
"step": 2920
|
| 2094 |
+
},
|
| 2095 |
+
{
|
| 2096 |
+
"epoch": 0.92,
|
| 2097 |
+
"grad_norm": 0.002312118886038661,
|
| 2098 |
+
"learning_rate": 9.200000000000002e-06,
|
| 2099 |
+
"loss": 0.0398,
|
| 2100 |
+
"step": 2930
|
| 2101 |
+
},
|
| 2102 |
+
{
|
| 2103 |
+
"epoch": 0.92,
|
| 2104 |
+
"grad_norm": 0.002495428314432502,
|
| 2105 |
+
"learning_rate": 9.155555555555557e-06,
|
| 2106 |
+
"loss": 0.0151,
|
| 2107 |
+
"step": 2940
|
| 2108 |
+
},
|
| 2109 |
+
{
|
| 2110 |
+
"epoch": 0.92,
|
| 2111 |
+
"grad_norm": 0.0020435641054064035,
|
| 2112 |
+
"learning_rate": 9.111111111111112e-06,
|
| 2113 |
+
"loss": 0.034,
|
| 2114 |
+
"step": 2950
|
| 2115 |
+
},
|
| 2116 |
+
{
|
| 2117 |
+
"epoch": 0.93,
|
| 2118 |
+
"grad_norm": 0.0015432636719197035,
|
| 2119 |
+
"learning_rate": 9.066666666666667e-06,
|
| 2120 |
+
"loss": 0.0485,
|
| 2121 |
+
"step": 2960
|
| 2122 |
+
},
|
| 2123 |
+
{
|
| 2124 |
+
"epoch": 0.93,
|
| 2125 |
+
"grad_norm": 1.6057056188583374,
|
| 2126 |
+
"learning_rate": 9.022222222222223e-06,
|
| 2127 |
+
"loss": 0.0566,
|
| 2128 |
+
"step": 2970
|
| 2129 |
+
},
|
| 2130 |
+
{
|
| 2131 |
+
"epoch": 0.93,
|
| 2132 |
+
"grad_norm": 0.0020012864843010902,
|
| 2133 |
+
"learning_rate": 8.977777777777778e-06,
|
| 2134 |
+
"loss": 0.0012,
|
| 2135 |
+
"step": 2980
|
| 2136 |
+
},
|
| 2137 |
+
{
|
| 2138 |
+
"epoch": 0.94,
|
| 2139 |
+
"grad_norm": 0.0008306769304908812,
|
| 2140 |
+
"learning_rate": 8.933333333333333e-06,
|
| 2141 |
+
"loss": 0.037,
|
| 2142 |
+
"step": 2990
|
| 2143 |
+
},
|
| 2144 |
+
{
|
| 2145 |
+
"epoch": 0.94,
|
| 2146 |
+
"grad_norm": 0.0008226165664382279,
|
| 2147 |
+
"learning_rate": 8.888888888888888e-06,
|
| 2148 |
+
"loss": 0.0365,
|
| 2149 |
+
"step": 3000
|
| 2150 |
+
},
|
| 2151 |
+
{
|
| 2152 |
+
"epoch": 0.94,
|
| 2153 |
+
"eval_loss": 0.021811991930007935,
|
| 2154 |
+
"eval_runtime": 61.9881,
|
| 2155 |
+
"eval_samples_per_second": 16.132,
|
| 2156 |
+
"eval_steps_per_second": 16.132,
|
| 2157 |
+
"step": 3000
|
| 2158 |
}
|
| 2159 |
],
|
| 2160 |
"logging_steps": 10,
|
|
|
|
| 2162 |
"num_input_tokens_seen": 0,
|
| 2163 |
"num_train_epochs": 2,
|
| 2164 |
"save_steps": 1000,
|
| 2165 |
+
"total_flos": 4.8306377981952e+16,
|
| 2166 |
"train_batch_size": 1,
|
| 2167 |
"trial_name": null,
|
| 2168 |
"trial_params": null
|