Training in progress, step 2000, checkpoint
Browse files- last-checkpoint/model.safetensors +1 -1
- last-checkpoint/optimizer.pt +1 -1
- last-checkpoint/rng_state_0.pth +1 -1
- last-checkpoint/rng_state_1.pth +1 -1
- last-checkpoint/rng_state_2.pth +1 -1
- last-checkpoint/rng_state_3.pth +1 -1
- last-checkpoint/rng_state_4.pth +1 -1
- last-checkpoint/rng_state_5.pth +1 -1
- last-checkpoint/rng_state_6.pth +1 -1
- last-checkpoint/rng_state_7.pth +1 -1
- last-checkpoint/scheduler.pt +1 -1
- last-checkpoint/trainer_state.json +766 -2
last-checkpoint/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 737580392
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2f5ad69af16ab5281b26e97b01c5792b964c744a508c6bc172eddc193844ce26
|
| 3 |
size 737580392
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1475248442
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e599dee06fa72aa210fe2735308cf272ff913daca158dd4092f84df1fcce8fb7
|
| 3 |
size 1475248442
|
last-checkpoint/rng_state_0.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 15984
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0e5cd4ad571350abe2eb98424dd5c5dd650f79de5be8de2b9ff4da9d030d723b
|
| 3 |
size 15984
|
last-checkpoint/rng_state_1.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 15984
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dcff98006be86afc3f75b37d6113fdf5b62db51c94b6f68b33f555f4ac346822
|
| 3 |
size 15984
|
last-checkpoint/rng_state_2.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 15984
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f220fd74a6757e167d014f721e96b7e5710e8f5c97f48c9fe6d72e19ebbbd65c
|
| 3 |
size 15984
|
last-checkpoint/rng_state_3.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 15984
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:21565575b5db0aa139865ffb0d9df6ceb55078dc7b218f601419cc3d7b873134
|
| 3 |
size 15984
|
last-checkpoint/rng_state_4.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 15984
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:487a03a3b6c36091572b8fbb74add1eb3c753efe5ab0eee791c8d03f495e5c98
|
| 3 |
size 15984
|
last-checkpoint/rng_state_5.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 15984
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:98f8c6e22cfd0b3668705becc42fb2c443ef5e4cfe38d4ba5e3dfdc565094143
|
| 3 |
size 15984
|
last-checkpoint/rng_state_6.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 15984
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:379eebc7ccebea3c24281c6604242d09589a64d4774ea37b6d5cf6e7bbece645
|
| 3 |
size 15984
|
last-checkpoint/rng_state_7.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 15984
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c3668b553f323a1aa5806c5d8feff7c926f6116dc2b7f961e9746634c8e825c0
|
| 3 |
size 15984
|
last-checkpoint/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1000
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:93895b5baeef3dfbe9ac5ba0209fcc94427355308cca9131e3f76f15e4750806
|
| 3 |
size 1000
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch":
|
| 5 |
"eval_steps": 250,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -771,6 +771,770 @@
|
|
| 771 |
"eval_spearman_manhattan": 0.7621231744319878,
|
| 772 |
"eval_steps_per_second": 6.85,
|
| 773 |
"step": 1000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 774 |
}
|
| 775 |
],
|
| 776 |
"logging_steps": 10,
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.751640112464855,
|
| 5 |
"eval_steps": 250,
|
| 6 |
+
"global_step": 2000,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 771 |
"eval_spearman_manhattan": 0.7621231744319878,
|
| 772 |
"eval_steps_per_second": 6.85,
|
| 773 |
"step": 1000
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 1.8940955951265228,
|
| 777 |
+
"grad_norm": 0.3324965834617615,
|
| 778 |
+
"learning_rate": 0.000799408396667106,
|
| 779 |
+
"loss": 0.1491,
|
| 780 |
+
"step": 1010
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 1.9128397375820057,
|
| 784 |
+
"grad_norm": 0.3112243711948395,
|
| 785 |
+
"learning_rate": 0.0007994025392083644,
|
| 786 |
+
"loss": 0.1622,
|
| 787 |
+
"step": 1020
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 1.9315838800374883,
|
| 791 |
+
"grad_norm": 0.3381972014904022,
|
| 792 |
+
"learning_rate": 0.000799396681749623,
|
| 793 |
+
"loss": 0.1462,
|
| 794 |
+
"step": 1030
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 1.9503280224929709,
|
| 798 |
+
"grad_norm": 0.3424859642982483,
|
| 799 |
+
"learning_rate": 0.0007993908242908814,
|
| 800 |
+
"loss": 0.1651,
|
| 801 |
+
"step": 1040
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 1.9690721649484537,
|
| 805 |
+
"grad_norm": 0.42161494493484497,
|
| 806 |
+
"learning_rate": 0.0007993849668321399,
|
| 807 |
+
"loss": 0.1521,
|
| 808 |
+
"step": 1050
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 1.9878163074039361,
|
| 812 |
+
"grad_norm": 0.3541307747364044,
|
| 813 |
+
"learning_rate": 0.0007993791093733984,
|
| 814 |
+
"loss": 0.162,
|
| 815 |
+
"step": 1060
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 2.007497656982193,
|
| 819 |
+
"grad_norm": 0.22963856160640717,
|
| 820 |
+
"learning_rate": 0.0007993732519146568,
|
| 821 |
+
"loss": 0.1297,
|
| 822 |
+
"step": 1070
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 2.026241799437676,
|
| 826 |
+
"grad_norm": 0.28242990374565125,
|
| 827 |
+
"learning_rate": 0.0007993673944559154,
|
| 828 |
+
"loss": 0.0773,
|
| 829 |
+
"step": 1080
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 2.044985941893158,
|
| 833 |
+
"grad_norm": 0.3516603112220764,
|
| 834 |
+
"learning_rate": 0.0007993615369971738,
|
| 835 |
+
"loss": 0.0799,
|
| 836 |
+
"step": 1090
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 2.063730084348641,
|
| 840 |
+
"grad_norm": 0.3558428883552551,
|
| 841 |
+
"learning_rate": 0.0007993556795384323,
|
| 842 |
+
"loss": 0.0885,
|
| 843 |
+
"step": 1100
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 2.082474226804124,
|
| 847 |
+
"grad_norm": 0.3211170732975006,
|
| 848 |
+
"learning_rate": 0.0007993498220796908,
|
| 849 |
+
"loss": 0.0825,
|
| 850 |
+
"step": 1110
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 2.1012183692596063,
|
| 854 |
+
"grad_norm": 0.20844395458698273,
|
| 855 |
+
"learning_rate": 0.0007993439646209492,
|
| 856 |
+
"loss": 0.0763,
|
| 857 |
+
"step": 1120
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 2.119962511715089,
|
| 861 |
+
"grad_norm": 0.3156029284000397,
|
| 862 |
+
"learning_rate": 0.0007993381071622077,
|
| 863 |
+
"loss": 0.0797,
|
| 864 |
+
"step": 1130
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 2.138706654170572,
|
| 868 |
+
"grad_norm": 0.3986193835735321,
|
| 869 |
+
"learning_rate": 0.0007993322497034662,
|
| 870 |
+
"loss": 0.0852,
|
| 871 |
+
"step": 1140
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 2.1574507966260543,
|
| 875 |
+
"grad_norm": 0.18681703507900238,
|
| 876 |
+
"learning_rate": 0.0007993263922447247,
|
| 877 |
+
"loss": 0.0779,
|
| 878 |
+
"step": 1150
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 2.176194939081537,
|
| 882 |
+
"grad_norm": 0.2365262657403946,
|
| 883 |
+
"learning_rate": 0.0007993205347859831,
|
| 884 |
+
"loss": 0.0833,
|
| 885 |
+
"step": 1160
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 2.1949390815370196,
|
| 889 |
+
"grad_norm": 0.25459378957748413,
|
| 890 |
+
"learning_rate": 0.0007993146773272417,
|
| 891 |
+
"loss": 0.0761,
|
| 892 |
+
"step": 1170
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 2.2136832239925024,
|
| 896 |
+
"grad_norm": 0.39024218916893005,
|
| 897 |
+
"learning_rate": 0.0007993088198685,
|
| 898 |
+
"loss": 0.0873,
|
| 899 |
+
"step": 1180
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 2.2324273664479852,
|
| 903 |
+
"grad_norm": 0.3662407100200653,
|
| 904 |
+
"learning_rate": 0.0007993029624097585,
|
| 905 |
+
"loss": 0.0842,
|
| 906 |
+
"step": 1190
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 2.2511715089034676,
|
| 910 |
+
"grad_norm": 0.30686551332473755,
|
| 911 |
+
"learning_rate": 0.0007992971049510171,
|
| 912 |
+
"loss": 0.0845,
|
| 913 |
+
"step": 1200
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 2.2699156513589505,
|
| 917 |
+
"grad_norm": 0.29860755801200867,
|
| 918 |
+
"learning_rate": 0.0007992912474922755,
|
| 919 |
+
"loss": 0.0806,
|
| 920 |
+
"step": 1210
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 2.288659793814433,
|
| 924 |
+
"grad_norm": 0.272029310464859,
|
| 925 |
+
"learning_rate": 0.0007992853900335341,
|
| 926 |
+
"loss": 0.0849,
|
| 927 |
+
"step": 1220
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 2.3074039362699157,
|
| 931 |
+
"grad_norm": 0.23034346103668213,
|
| 932 |
+
"learning_rate": 0.0007992795325747924,
|
| 933 |
+
"loss": 0.0873,
|
| 934 |
+
"step": 1230
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 2.3261480787253985,
|
| 938 |
+
"grad_norm": 0.38400229811668396,
|
| 939 |
+
"learning_rate": 0.0007992736751160509,
|
| 940 |
+
"loss": 0.0854,
|
| 941 |
+
"step": 1240
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 2.344892221180881,
|
| 945 |
+
"grad_norm": 0.2619285583496094,
|
| 946 |
+
"learning_rate": 0.0007992678176573094,
|
| 947 |
+
"loss": 0.0854,
|
| 948 |
+
"step": 1250
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 2.344892221180881,
|
| 952 |
+
"eval_loss": 0.0549059733748436,
|
| 953 |
+
"eval_pearson_cosine": 0.7565033435821533,
|
| 954 |
+
"eval_pearson_dot": 0.7438405752182007,
|
| 955 |
+
"eval_pearson_euclidean": 0.7398021221160889,
|
| 956 |
+
"eval_pearson_manhattan": 0.7514023780822754,
|
| 957 |
+
"eval_runtime": 27.2363,
|
| 958 |
+
"eval_samples_per_second": 55.074,
|
| 959 |
+
"eval_spearman_cosine": 0.7657686934808458,
|
| 960 |
+
"eval_spearman_dot": 0.7450125999969373,
|
| 961 |
+
"eval_spearman_euclidean": 0.7411997174627442,
|
| 962 |
+
"eval_spearman_manhattan": 0.754436544283217,
|
| 963 |
+
"eval_steps_per_second": 6.903,
|
| 964 |
+
"step": 1250
|
| 965 |
+
},
|
| 966 |
+
{
|
| 967 |
+
"epoch": 2.3636363636363638,
|
| 968 |
+
"grad_norm": 0.2573038935661316,
|
| 969 |
+
"learning_rate": 0.0007992619601985679,
|
| 970 |
+
"loss": 0.0812,
|
| 971 |
+
"step": 1260
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"epoch": 2.382380506091846,
|
| 975 |
+
"grad_norm": 0.2684009373188019,
|
| 976 |
+
"learning_rate": 0.0007992561027398263,
|
| 977 |
+
"loss": 0.0833,
|
| 978 |
+
"step": 1270
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"epoch": 2.401124648547329,
|
| 982 |
+
"grad_norm": 0.2773861289024353,
|
| 983 |
+
"learning_rate": 0.0007992502452810849,
|
| 984 |
+
"loss": 0.0902,
|
| 985 |
+
"step": 1280
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"epoch": 2.419868791002812,
|
| 989 |
+
"grad_norm": 0.3180435001850128,
|
| 990 |
+
"learning_rate": 0.0007992443878223433,
|
| 991 |
+
"loss": 0.0882,
|
| 992 |
+
"step": 1290
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 2.438612933458294,
|
| 996 |
+
"grad_norm": 0.2758583426475525,
|
| 997 |
+
"learning_rate": 0.0007992385303636017,
|
| 998 |
+
"loss": 0.0815,
|
| 999 |
+
"step": 1300
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"epoch": 2.457357075913777,
|
| 1003 |
+
"grad_norm": 0.3327929973602295,
|
| 1004 |
+
"learning_rate": 0.0007992326729048603,
|
| 1005 |
+
"loss": 0.0949,
|
| 1006 |
+
"step": 1310
|
| 1007 |
+
},
|
| 1008 |
+
{
|
| 1009 |
+
"epoch": 2.4761012183692594,
|
| 1010 |
+
"grad_norm": 0.31645268201828003,
|
| 1011 |
+
"learning_rate": 0.0007992268154461187,
|
| 1012 |
+
"loss": 0.0942,
|
| 1013 |
+
"step": 1320
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 2.4948453608247423,
|
| 1017 |
+
"grad_norm": 0.2587279975414276,
|
| 1018 |
+
"learning_rate": 0.0007992209579873773,
|
| 1019 |
+
"loss": 0.0889,
|
| 1020 |
+
"step": 1330
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 2.513589503280225,
|
| 1024 |
+
"grad_norm": 0.29799187183380127,
|
| 1025 |
+
"learning_rate": 0.0007992151005286357,
|
| 1026 |
+
"loss": 0.1027,
|
| 1027 |
+
"step": 1340
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"epoch": 2.5323336457357075,
|
| 1031 |
+
"grad_norm": 0.3042343258857727,
|
| 1032 |
+
"learning_rate": 0.0007992092430698941,
|
| 1033 |
+
"loss": 0.0947,
|
| 1034 |
+
"step": 1350
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 2.5510777881911904,
|
| 1038 |
+
"grad_norm": 0.36439308524131775,
|
| 1039 |
+
"learning_rate": 0.0007992033856111527,
|
| 1040 |
+
"loss": 0.0887,
|
| 1041 |
+
"step": 1360
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 2.5698219306466727,
|
| 1045 |
+
"grad_norm": 0.24675941467285156,
|
| 1046 |
+
"learning_rate": 0.0007991975281524111,
|
| 1047 |
+
"loss": 0.0893,
|
| 1048 |
+
"step": 1370
|
| 1049 |
+
},
|
| 1050 |
+
{
|
| 1051 |
+
"epoch": 2.5885660731021556,
|
| 1052 |
+
"grad_norm": 0.3232560157775879,
|
| 1053 |
+
"learning_rate": 0.0007991916706936696,
|
| 1054 |
+
"loss": 0.0949,
|
| 1055 |
+
"step": 1380
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"epoch": 2.6073102155576384,
|
| 1059 |
+
"grad_norm": 0.3095908463001251,
|
| 1060 |
+
"learning_rate": 0.0007991858132349281,
|
| 1061 |
+
"loss": 0.0893,
|
| 1062 |
+
"step": 1390
|
| 1063 |
+
},
|
| 1064 |
+
{
|
| 1065 |
+
"epoch": 2.626054358013121,
|
| 1066 |
+
"grad_norm": 0.24996769428253174,
|
| 1067 |
+
"learning_rate": 0.0007991799557761866,
|
| 1068 |
+
"loss": 0.0918,
|
| 1069 |
+
"step": 1400
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"epoch": 2.6447985004686037,
|
| 1073 |
+
"grad_norm": 0.3013332486152649,
|
| 1074 |
+
"learning_rate": 0.0007991740983174449,
|
| 1075 |
+
"loss": 0.0965,
|
| 1076 |
+
"step": 1410
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 2.663542642924086,
|
| 1080 |
+
"grad_norm": 0.43422290682792664,
|
| 1081 |
+
"learning_rate": 0.0007991682408587035,
|
| 1082 |
+
"loss": 0.1144,
|
| 1083 |
+
"step": 1420
|
| 1084 |
+
},
|
| 1085 |
+
{
|
| 1086 |
+
"epoch": 2.682286785379569,
|
| 1087 |
+
"grad_norm": 0.3462458848953247,
|
| 1088 |
+
"learning_rate": 0.0007991623833999619,
|
| 1089 |
+
"loss": 0.1068,
|
| 1090 |
+
"step": 1430
|
| 1091 |
+
},
|
| 1092 |
+
{
|
| 1093 |
+
"epoch": 2.7010309278350517,
|
| 1094 |
+
"grad_norm": 0.2752937078475952,
|
| 1095 |
+
"learning_rate": 0.0007991565259412205,
|
| 1096 |
+
"loss": 0.1048,
|
| 1097 |
+
"step": 1440
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 2.719775070290534,
|
| 1101 |
+
"grad_norm": 0.33038660883903503,
|
| 1102 |
+
"learning_rate": 0.000799150668482479,
|
| 1103 |
+
"loss": 0.1055,
|
| 1104 |
+
"step": 1450
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 2.738519212746017,
|
| 1108 |
+
"grad_norm": 0.28442054986953735,
|
| 1109 |
+
"learning_rate": 0.0007991448110237373,
|
| 1110 |
+
"loss": 0.1053,
|
| 1111 |
+
"step": 1460
|
| 1112 |
+
},
|
| 1113 |
+
{
|
| 1114 |
+
"epoch": 2.7572633552014993,
|
| 1115 |
+
"grad_norm": 0.25279343128204346,
|
| 1116 |
+
"learning_rate": 0.0007991389535649959,
|
| 1117 |
+
"loss": 0.109,
|
| 1118 |
+
"step": 1470
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 2.776007497656982,
|
| 1122 |
+
"grad_norm": 0.3681808114051819,
|
| 1123 |
+
"learning_rate": 0.0007991330961062543,
|
| 1124 |
+
"loss": 0.1092,
|
| 1125 |
+
"step": 1480
|
| 1126 |
+
},
|
| 1127 |
+
{
|
| 1128 |
+
"epoch": 2.794751640112465,
|
| 1129 |
+
"grad_norm": 0.3884279429912567,
|
| 1130 |
+
"learning_rate": 0.0007991272386475128,
|
| 1131 |
+
"loss": 0.1105,
|
| 1132 |
+
"step": 1490
|
| 1133 |
+
},
|
| 1134 |
+
{
|
| 1135 |
+
"epoch": 2.8134957825679474,
|
| 1136 |
+
"grad_norm": 0.3542380928993225,
|
| 1137 |
+
"learning_rate": 0.0007991213811887713,
|
| 1138 |
+
"loss": 0.109,
|
| 1139 |
+
"step": 1500
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"epoch": 2.8134957825679474,
|
| 1143 |
+
"eval_loss": 0.06194353476166725,
|
| 1144 |
+
"eval_pearson_cosine": 0.7544945478439331,
|
| 1145 |
+
"eval_pearson_dot": 0.7297648787498474,
|
| 1146 |
+
"eval_pearson_euclidean": 0.7457708120346069,
|
| 1147 |
+
"eval_pearson_manhattan": 0.7537869215011597,
|
| 1148 |
+
"eval_runtime": 27.28,
|
| 1149 |
+
"eval_samples_per_second": 54.985,
|
| 1150 |
+
"eval_spearman_cosine": 0.7677406665753612,
|
| 1151 |
+
"eval_spearman_dot": 0.7355031880736892,
|
| 1152 |
+
"eval_spearman_euclidean": 0.752266788615453,
|
| 1153 |
+
"eval_spearman_manhattan": 0.7620929193607933,
|
| 1154 |
+
"eval_steps_per_second": 6.892,
|
| 1155 |
+
"step": 1500
|
| 1156 |
+
},
|
| 1157 |
+
{
|
| 1158 |
+
"epoch": 2.8322399250234302,
|
| 1159 |
+
"grad_norm": 0.28738659620285034,
|
| 1160 |
+
"learning_rate": 0.0007991155237300298,
|
| 1161 |
+
"loss": 0.1043,
|
| 1162 |
+
"step": 1510
|
| 1163 |
+
},
|
| 1164 |
+
{
|
| 1165 |
+
"epoch": 2.8509840674789126,
|
| 1166 |
+
"grad_norm": 0.39117714762687683,
|
| 1167 |
+
"learning_rate": 0.0007991096662712882,
|
| 1168 |
+
"loss": 0.0993,
|
| 1169 |
+
"step": 1520
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"epoch": 2.8697282099343955,
|
| 1173 |
+
"grad_norm": 0.3144415616989136,
|
| 1174 |
+
"learning_rate": 0.0007991038088125467,
|
| 1175 |
+
"loss": 0.1145,
|
| 1176 |
+
"step": 1530
|
| 1177 |
+
},
|
| 1178 |
+
{
|
| 1179 |
+
"epoch": 2.8884723523898783,
|
| 1180 |
+
"grad_norm": 0.28154823184013367,
|
| 1181 |
+
"learning_rate": 0.0007990979513538052,
|
| 1182 |
+
"loss": 0.1128,
|
| 1183 |
+
"step": 1540
|
| 1184 |
+
},
|
| 1185 |
+
{
|
| 1186 |
+
"epoch": 2.9072164948453607,
|
| 1187 |
+
"grad_norm": 0.3766768276691437,
|
| 1188 |
+
"learning_rate": 0.0007990920938950637,
|
| 1189 |
+
"loss": 0.1033,
|
| 1190 |
+
"step": 1550
|
| 1191 |
+
},
|
| 1192 |
+
{
|
| 1193 |
+
"epoch": 2.9259606373008435,
|
| 1194 |
+
"grad_norm": 0.38604792952537537,
|
| 1195 |
+
"learning_rate": 0.0007990862364363222,
|
| 1196 |
+
"loss": 0.1044,
|
| 1197 |
+
"step": 1560
|
| 1198 |
+
},
|
| 1199 |
+
{
|
| 1200 |
+
"epoch": 2.944704779756326,
|
| 1201 |
+
"grad_norm": 0.36833906173706055,
|
| 1202 |
+
"learning_rate": 0.0007990803789775806,
|
| 1203 |
+
"loss": 0.1159,
|
| 1204 |
+
"step": 1570
|
| 1205 |
+
},
|
| 1206 |
+
{
|
| 1207 |
+
"epoch": 2.963448922211809,
|
| 1208 |
+
"grad_norm": 0.3357650935649872,
|
| 1209 |
+
"learning_rate": 0.0007990745215188391,
|
| 1210 |
+
"loss": 0.1185,
|
| 1211 |
+
"step": 1580
|
| 1212 |
+
},
|
| 1213 |
+
{
|
| 1214 |
+
"epoch": 2.9821930646672916,
|
| 1215 |
+
"grad_norm": 0.30260348320007324,
|
| 1216 |
+
"learning_rate": 0.0007990686640600976,
|
| 1217 |
+
"loss": 0.1167,
|
| 1218 |
+
"step": 1590
|
| 1219 |
+
},
|
| 1220 |
+
{
|
| 1221 |
+
"epoch": 3.0018744142455485,
|
| 1222 |
+
"grad_norm": 0.28110650181770325,
|
| 1223 |
+
"learning_rate": 0.000799062806601356,
|
| 1224 |
+
"loss": 0.1115,
|
| 1225 |
+
"step": 1600
|
| 1226 |
+
},
|
| 1227 |
+
{
|
| 1228 |
+
"epoch": 3.020618556701031,
|
| 1229 |
+
"grad_norm": 0.32038745284080505,
|
| 1230 |
+
"learning_rate": 0.0007990569491426146,
|
| 1231 |
+
"loss": 0.0637,
|
| 1232 |
+
"step": 1610
|
| 1233 |
+
},
|
| 1234 |
+
{
|
| 1235 |
+
"epoch": 3.0393626991565137,
|
| 1236 |
+
"grad_norm": 0.29342755675315857,
|
| 1237 |
+
"learning_rate": 0.000799051091683873,
|
| 1238 |
+
"loss": 0.0687,
|
| 1239 |
+
"step": 1620
|
| 1240 |
+
},
|
| 1241 |
+
{
|
| 1242 |
+
"epoch": 3.058106841611996,
|
| 1243 |
+
"grad_norm": 0.33964619040489197,
|
| 1244 |
+
"learning_rate": 0.0007990452342251314,
|
| 1245 |
+
"loss": 0.0611,
|
| 1246 |
+
"step": 1630
|
| 1247 |
+
},
|
| 1248 |
+
{
|
| 1249 |
+
"epoch": 3.076850984067479,
|
| 1250 |
+
"grad_norm": 0.23580531775951385,
|
| 1251 |
+
"learning_rate": 0.0007990393767663899,
|
| 1252 |
+
"loss": 0.0635,
|
| 1253 |
+
"step": 1640
|
| 1254 |
+
},
|
| 1255 |
+
{
|
| 1256 |
+
"epoch": 3.0955951265229618,
|
| 1257 |
+
"grad_norm": 0.2617776393890381,
|
| 1258 |
+
"learning_rate": 0.0007990335193076484,
|
| 1259 |
+
"loss": 0.0709,
|
| 1260 |
+
"step": 1650
|
| 1261 |
+
},
|
| 1262 |
+
{
|
| 1263 |
+
"epoch": 3.114339268978444,
|
| 1264 |
+
"grad_norm": 0.25627410411834717,
|
| 1265 |
+
"learning_rate": 0.0007990276618489068,
|
| 1266 |
+
"loss": 0.0682,
|
| 1267 |
+
"step": 1660
|
| 1268 |
+
},
|
| 1269 |
+
{
|
| 1270 |
+
"epoch": 3.133083411433927,
|
| 1271 |
+
"grad_norm": 0.21987001597881317,
|
| 1272 |
+
"learning_rate": 0.0007990218043901654,
|
| 1273 |
+
"loss": 0.06,
|
| 1274 |
+
"step": 1670
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 3.1518275538894094,
|
| 1278 |
+
"grad_norm": 0.2657093405723572,
|
| 1279 |
+
"learning_rate": 0.0007990159469314238,
|
| 1280 |
+
"loss": 0.0712,
|
| 1281 |
+
"step": 1680
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"epoch": 3.170571696344892,
|
| 1285 |
+
"grad_norm": 0.23929661512374878,
|
| 1286 |
+
"learning_rate": 0.0007990100894726823,
|
| 1287 |
+
"loss": 0.0566,
|
| 1288 |
+
"step": 1690
|
| 1289 |
+
},
|
| 1290 |
+
{
|
| 1291 |
+
"epoch": 3.189315838800375,
|
| 1292 |
+
"grad_norm": 0.23572145402431488,
|
| 1293 |
+
"learning_rate": 0.0007990042320139408,
|
| 1294 |
+
"loss": 0.0571,
|
| 1295 |
+
"step": 1700
|
| 1296 |
+
},
|
| 1297 |
+
{
|
| 1298 |
+
"epoch": 3.2080599812558575,
|
| 1299 |
+
"grad_norm": 0.26287132501602173,
|
| 1300 |
+
"learning_rate": 0.0007989983745551992,
|
| 1301 |
+
"loss": 0.067,
|
| 1302 |
+
"step": 1710
|
| 1303 |
+
},
|
| 1304 |
+
{
|
| 1305 |
+
"epoch": 3.2268041237113403,
|
| 1306 |
+
"grad_norm": 0.24504464864730835,
|
| 1307 |
+
"learning_rate": 0.0007989925170964578,
|
| 1308 |
+
"loss": 0.0637,
|
| 1309 |
+
"step": 1720
|
| 1310 |
+
},
|
| 1311 |
+
{
|
| 1312 |
+
"epoch": 3.2455482661668227,
|
| 1313 |
+
"grad_norm": 0.17006747424602509,
|
| 1314 |
+
"learning_rate": 0.0007989866596377162,
|
| 1315 |
+
"loss": 0.0552,
|
| 1316 |
+
"step": 1730
|
| 1317 |
+
},
|
| 1318 |
+
{
|
| 1319 |
+
"epoch": 3.2642924086223055,
|
| 1320 |
+
"grad_norm": 0.2752683460712433,
|
| 1321 |
+
"learning_rate": 0.0007989808021789747,
|
| 1322 |
+
"loss": 0.0639,
|
| 1323 |
+
"step": 1740
|
| 1324 |
+
},
|
| 1325 |
+
{
|
| 1326 |
+
"epoch": 3.2830365510777884,
|
| 1327 |
+
"grad_norm": 0.2681417465209961,
|
| 1328 |
+
"learning_rate": 0.0007989749447202332,
|
| 1329 |
+
"loss": 0.0705,
|
| 1330 |
+
"step": 1750
|
| 1331 |
+
},
|
| 1332 |
+
{
|
| 1333 |
+
"epoch": 3.2830365510777884,
|
| 1334 |
+
"eval_loss": 0.0486464686691761,
|
| 1335 |
+
"eval_pearson_cosine": 0.7632350921630859,
|
| 1336 |
+
"eval_pearson_dot": 0.7505504488945007,
|
| 1337 |
+
"eval_pearson_euclidean": 0.7458865642547607,
|
| 1338 |
+
"eval_pearson_manhattan": 0.7597954273223877,
|
| 1339 |
+
"eval_runtime": 27.3673,
|
| 1340 |
+
"eval_samples_per_second": 54.81,
|
| 1341 |
+
"eval_spearman_cosine": 0.7679814031707208,
|
| 1342 |
+
"eval_spearman_dot": 0.7517654374212466,
|
| 1343 |
+
"eval_spearman_euclidean": 0.7467275015139031,
|
| 1344 |
+
"eval_spearman_manhattan": 0.7607208640788498,
|
| 1345 |
+
"eval_steps_per_second": 6.87,
|
| 1346 |
+
"step": 1750
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 3.3017806935332707,
|
| 1350 |
+
"grad_norm": 0.24346262216567993,
|
| 1351 |
+
"learning_rate": 0.0007989690872614916,
|
| 1352 |
+
"loss": 0.0658,
|
| 1353 |
+
"step": 1760
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 3.3205248359887536,
|
| 1357 |
+
"grad_norm": 0.24957306683063507,
|
| 1358 |
+
"learning_rate": 0.0007989632298027502,
|
| 1359 |
+
"loss": 0.0643,
|
| 1360 |
+
"step": 1770
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 3.3392689784442364,
|
| 1364 |
+
"grad_norm": 0.24416255950927734,
|
| 1365 |
+
"learning_rate": 0.0007989573723440086,
|
| 1366 |
+
"loss": 0.0626,
|
| 1367 |
+
"step": 1780
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 3.358013120899719,
|
| 1371 |
+
"grad_norm": 0.2224712073802948,
|
| 1372 |
+
"learning_rate": 0.0007989515148852671,
|
| 1373 |
+
"loss": 0.0634,
|
| 1374 |
+
"step": 1790
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 3.3767572633552017,
|
| 1378 |
+
"grad_norm": 0.27588558197021484,
|
| 1379 |
+
"learning_rate": 0.0007989456574265256,
|
| 1380 |
+
"loss": 0.0644,
|
| 1381 |
+
"step": 1800
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 3.395501405810684,
|
| 1385 |
+
"grad_norm": 0.26377061009407043,
|
| 1386 |
+
"learning_rate": 0.000798939799967784,
|
| 1387 |
+
"loss": 0.0585,
|
| 1388 |
+
"step": 1810
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 3.414245548266167,
|
| 1392 |
+
"grad_norm": 0.23178541660308838,
|
| 1393 |
+
"learning_rate": 0.0007989339425090424,
|
| 1394 |
+
"loss": 0.0588,
|
| 1395 |
+
"step": 1820
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 3.4329896907216497,
|
| 1399 |
+
"grad_norm": 0.1893617808818817,
|
| 1400 |
+
"learning_rate": 0.000798928085050301,
|
| 1401 |
+
"loss": 0.0649,
|
| 1402 |
+
"step": 1830
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 3.451733833177132,
|
| 1406 |
+
"grad_norm": 0.23445335030555725,
|
| 1407 |
+
"learning_rate": 0.0007989222275915595,
|
| 1408 |
+
"loss": 0.0629,
|
| 1409 |
+
"step": 1840
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 3.470477975632615,
|
| 1413 |
+
"grad_norm": 0.457109659910202,
|
| 1414 |
+
"learning_rate": 0.0007989163701328179,
|
| 1415 |
+
"loss": 0.0646,
|
| 1416 |
+
"step": 1850
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 3.4892221180880973,
|
| 1420 |
+
"grad_norm": 0.2316947728395462,
|
| 1421 |
+
"learning_rate": 0.0007989105126740764,
|
| 1422 |
+
"loss": 0.0677,
|
| 1423 |
+
"step": 1860
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 3.50796626054358,
|
| 1427 |
+
"grad_norm": 0.26950669288635254,
|
| 1428 |
+
"learning_rate": 0.0007989046552153348,
|
| 1429 |
+
"loss": 0.0732,
|
| 1430 |
+
"step": 1870
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 3.526710402999063,
|
| 1434 |
+
"grad_norm": 0.25258171558380127,
|
| 1435 |
+
"learning_rate": 0.0007988987977565933,
|
| 1436 |
+
"loss": 0.0635,
|
| 1437 |
+
"step": 1880
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 3.5454545454545454,
|
| 1441 |
+
"grad_norm": 0.2282831370830536,
|
| 1442 |
+
"learning_rate": 0.0007988929402978518,
|
| 1443 |
+
"loss": 0.0766,
|
| 1444 |
+
"step": 1890
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 3.5641986879100283,
|
| 1448 |
+
"grad_norm": 0.3049706220626831,
|
| 1449 |
+
"learning_rate": 0.0007988870828391103,
|
| 1450 |
+
"loss": 0.0766,
|
| 1451 |
+
"step": 1900
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 3.5829428303655106,
|
| 1455 |
+
"grad_norm": 0.21556228399276733,
|
| 1456 |
+
"learning_rate": 0.0007988812253803688,
|
| 1457 |
+
"loss": 0.0694,
|
| 1458 |
+
"step": 1910
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 3.6016869728209935,
|
| 1462 |
+
"grad_norm": 0.2859863340854645,
|
| 1463 |
+
"learning_rate": 0.0007988753679216272,
|
| 1464 |
+
"loss": 0.0665,
|
| 1465 |
+
"step": 1920
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 3.6204311152764763,
|
| 1469 |
+
"grad_norm": 0.22522784769535065,
|
| 1470 |
+
"learning_rate": 0.0007988695104628857,
|
| 1471 |
+
"loss": 0.073,
|
| 1472 |
+
"step": 1930
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 3.6391752577319587,
|
| 1476 |
+
"grad_norm": 0.3301334083080292,
|
| 1477 |
+
"learning_rate": 0.0007988636530041442,
|
| 1478 |
+
"loss": 0.0745,
|
| 1479 |
+
"step": 1940
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 3.6579194001874415,
|
| 1483 |
+
"grad_norm": 0.21438319981098175,
|
| 1484 |
+
"learning_rate": 0.0007988577955454027,
|
| 1485 |
+
"loss": 0.0713,
|
| 1486 |
+
"step": 1950
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 3.676663542642924,
|
| 1490 |
+
"grad_norm": 0.3207626938819885,
|
| 1491 |
+
"learning_rate": 0.0007988519380866611,
|
| 1492 |
+
"loss": 0.0759,
|
| 1493 |
+
"step": 1960
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 3.695407685098407,
|
| 1497 |
+
"grad_norm": 0.25493231415748596,
|
| 1498 |
+
"learning_rate": 0.0007988460806279197,
|
| 1499 |
+
"loss": 0.0722,
|
| 1500 |
+
"step": 1970
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 3.7141518275538896,
|
| 1504 |
+
"grad_norm": 0.2732018530368805,
|
| 1505 |
+
"learning_rate": 0.0007988402231691781,
|
| 1506 |
+
"loss": 0.0773,
|
| 1507 |
+
"step": 1980
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 3.732895970009372,
|
| 1511 |
+
"grad_norm": 0.19611899554729462,
|
| 1512 |
+
"learning_rate": 0.0007988343657104365,
|
| 1513 |
+
"loss": 0.0773,
|
| 1514 |
+
"step": 1990
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 3.751640112464855,
|
| 1518 |
+
"grad_norm": 0.2664394676685333,
|
| 1519 |
+
"learning_rate": 0.0007988285082516951,
|
| 1520 |
+
"loss": 0.072,
|
| 1521 |
+
"step": 2000
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 3.751640112464855,
|
| 1525 |
+
"eval_loss": 0.05059043690562248,
|
| 1526 |
+
"eval_pearson_cosine": 0.7549334764480591,
|
| 1527 |
+
"eval_pearson_dot": 0.7364022731781006,
|
| 1528 |
+
"eval_pearson_euclidean": 0.7430644035339355,
|
| 1529 |
+
"eval_pearson_manhattan": 0.7528964281082153,
|
| 1530 |
+
"eval_runtime": 27.2774,
|
| 1531 |
+
"eval_samples_per_second": 54.991,
|
| 1532 |
+
"eval_spearman_cosine": 0.7612361982335023,
|
| 1533 |
+
"eval_spearman_dot": 0.7370856746295986,
|
| 1534 |
+
"eval_spearman_euclidean": 0.7449844586260276,
|
| 1535 |
+
"eval_spearman_manhattan": 0.7551494271561938,
|
| 1536 |
+
"eval_steps_per_second": 6.892,
|
| 1537 |
+
"step": 2000
|
| 1538 |
}
|
| 1539 |
],
|
| 1540 |
"logging_steps": 10,
|