Training in progress, step 550, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 80792096
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8f7d50ca95c733455c27a0191698218c0fb7257f1f04a523e26b9cb95be94420
|
3 |
size 80792096
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 41460084
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1a3a0295315f0ad2885ad03f8acc2f49097e143fa65061bf55855900307c3d3c
|
3 |
size 41460084
|
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:b5d154d045ee189af4c648f80535098cfde6139351de9c4d32c890f904602cee
|
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 sha256:789cac547d76905ddc88036180d9f246f307a104c94da93e131a174052f790e8
|
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": 275,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
@@ -1948,6 +1948,1939 @@
|
|
1948 |
"eval_samples_per_second": 9.078,
|
1949 |
"eval_steps_per_second": 4.542,
|
1950 |
"step": 275
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1951 |
}
|
1952 |
],
|
1953 |
"logging_steps": 1,
|
@@ -1967,7 +3900,7 @@
|
|
1967 |
"attributes": {}
|
1968 |
}
|
1969 |
},
|
1970 |
-
"total_flos":
|
1971 |
"train_batch_size": 2,
|
1972 |
"trial_name": null,
|
1973 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.5006257822277848,
|
5 |
"eval_steps": 275,
|
6 |
+
"global_step": 550,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
|
|
1948 |
"eval_samples_per_second": 9.078,
|
1949 |
"eval_steps_per_second": 4.542,
|
1950 |
"step": 275
|
1951 |
+
},
|
1952 |
+
{
|
1953 |
+
"epoch": 0.251223119808852,
|
1954 |
+
"grad_norm": 0.39477062225341797,
|
1955 |
+
"learning_rate": 0.00017197404764772805,
|
1956 |
+
"loss": 2.1965,
|
1957 |
+
"step": 276
|
1958 |
+
},
|
1959 |
+
{
|
1960 |
+
"epoch": 0.2521333485038116,
|
1961 |
+
"grad_norm": 0.4311797320842743,
|
1962 |
+
"learning_rate": 0.00017177347024911562,
|
1963 |
+
"loss": 2.2732,
|
1964 |
+
"step": 277
|
1965 |
+
},
|
1966 |
+
{
|
1967 |
+
"epoch": 0.2530435771987712,
|
1968 |
+
"grad_norm": 0.3932170867919922,
|
1969 |
+
"learning_rate": 0.00017157229552971487,
|
1970 |
+
"loss": 2.1883,
|
1971 |
+
"step": 278
|
1972 |
+
},
|
1973 |
+
{
|
1974 |
+
"epoch": 0.2539538058937308,
|
1975 |
+
"grad_norm": 0.40245768427848816,
|
1976 |
+
"learning_rate": 0.00017137052516376345,
|
1977 |
+
"loss": 2.1204,
|
1978 |
+
"step": 279
|
1979 |
+
},
|
1980 |
+
{
|
1981 |
+
"epoch": 0.2548640345886904,
|
1982 |
+
"grad_norm": 0.44616052508354187,
|
1983 |
+
"learning_rate": 0.00017116816083045602,
|
1984 |
+
"loss": 2.359,
|
1985 |
+
"step": 280
|
1986 |
+
},
|
1987 |
+
{
|
1988 |
+
"epoch": 0.25577426328365,
|
1989 |
+
"grad_norm": 0.4077576994895935,
|
1990 |
+
"learning_rate": 0.0001709652042139306,
|
1991 |
+
"loss": 2.0829,
|
1992 |
+
"step": 281
|
1993 |
+
},
|
1994 |
+
{
|
1995 |
+
"epoch": 0.25668449197860965,
|
1996 |
+
"grad_norm": 0.40657973289489746,
|
1997 |
+
"learning_rate": 0.0001707616570032542,
|
1998 |
+
"loss": 2.1668,
|
1999 |
+
"step": 282
|
2000 |
+
},
|
2001 |
+
{
|
2002 |
+
"epoch": 0.25759472067356926,
|
2003 |
+
"grad_norm": 0.4176836907863617,
|
2004 |
+
"learning_rate": 0.00017055752089240907,
|
2005 |
+
"loss": 2.1375,
|
2006 |
+
"step": 283
|
2007 |
+
},
|
2008 |
+
{
|
2009 |
+
"epoch": 0.25850494936852886,
|
2010 |
+
"grad_norm": 0.4195888936519623,
|
2011 |
+
"learning_rate": 0.00017035279758027832,
|
2012 |
+
"loss": 2.0588,
|
2013 |
+
"step": 284
|
2014 |
+
},
|
2015 |
+
{
|
2016 |
+
"epoch": 0.25941517806348846,
|
2017 |
+
"grad_norm": 0.42504483461380005,
|
2018 |
+
"learning_rate": 0.00017014748877063214,
|
2019 |
+
"loss": 2.0153,
|
2020 |
+
"step": 285
|
2021 |
+
},
|
2022 |
+
{
|
2023 |
+
"epoch": 0.26032540675844806,
|
2024 |
+
"grad_norm": 0.45724233984947205,
|
2025 |
+
"learning_rate": 0.00016994159617211317,
|
2026 |
+
"loss": 2.1907,
|
2027 |
+
"step": 286
|
2028 |
+
},
|
2029 |
+
{
|
2030 |
+
"epoch": 0.26123563545340767,
|
2031 |
+
"grad_norm": 0.4327910542488098,
|
2032 |
+
"learning_rate": 0.00016973512149822274,
|
2033 |
+
"loss": 2.0613,
|
2034 |
+
"step": 287
|
2035 |
+
},
|
2036 |
+
{
|
2037 |
+
"epoch": 0.26214586414836727,
|
2038 |
+
"grad_norm": 0.446054607629776,
|
2039 |
+
"learning_rate": 0.0001695280664673062,
|
2040 |
+
"loss": 2.1539,
|
2041 |
+
"step": 288
|
2042 |
+
},
|
2043 |
+
{
|
2044 |
+
"epoch": 0.26305609284332687,
|
2045 |
+
"grad_norm": 0.4568957984447479,
|
2046 |
+
"learning_rate": 0.0001693204328025389,
|
2047 |
+
"loss": 2.2892,
|
2048 |
+
"step": 289
|
2049 |
+
},
|
2050 |
+
{
|
2051 |
+
"epoch": 0.2639663215382865,
|
2052 |
+
"grad_norm": 0.4926307201385498,
|
2053 |
+
"learning_rate": 0.00016911222223191182,
|
2054 |
+
"loss": 2.253,
|
2055 |
+
"step": 290
|
2056 |
+
},
|
2057 |
+
{
|
2058 |
+
"epoch": 0.2648765502332461,
|
2059 |
+
"grad_norm": 0.49324727058410645,
|
2060 |
+
"learning_rate": 0.00016890343648821697,
|
2061 |
+
"loss": 2.2756,
|
2062 |
+
"step": 291
|
2063 |
+
},
|
2064 |
+
{
|
2065 |
+
"epoch": 0.26578677892820574,
|
2066 |
+
"grad_norm": 0.478746235370636,
|
2067 |
+
"learning_rate": 0.0001686940773090333,
|
2068 |
+
"loss": 2.2775,
|
2069 |
+
"step": 292
|
2070 |
+
},
|
2071 |
+
{
|
2072 |
+
"epoch": 0.26669700762316534,
|
2073 |
+
"grad_norm": 0.508730411529541,
|
2074 |
+
"learning_rate": 0.00016848414643671195,
|
2075 |
+
"loss": 2.3255,
|
2076 |
+
"step": 293
|
2077 |
+
},
|
2078 |
+
{
|
2079 |
+
"epoch": 0.26760723631812494,
|
2080 |
+
"grad_norm": 0.5452204942703247,
|
2081 |
+
"learning_rate": 0.00016827364561836187,
|
2082 |
+
"loss": 2.4101,
|
2083 |
+
"step": 294
|
2084 |
+
},
|
2085 |
+
{
|
2086 |
+
"epoch": 0.26851746501308454,
|
2087 |
+
"grad_norm": 0.5368967652320862,
|
2088 |
+
"learning_rate": 0.00016806257660583534,
|
2089 |
+
"loss": 2.3823,
|
2090 |
+
"step": 295
|
2091 |
+
},
|
2092 |
+
{
|
2093 |
+
"epoch": 0.26942769370804415,
|
2094 |
+
"grad_norm": 0.565154492855072,
|
2095 |
+
"learning_rate": 0.00016785094115571322,
|
2096 |
+
"loss": 2.376,
|
2097 |
+
"step": 296
|
2098 |
+
},
|
2099 |
+
{
|
2100 |
+
"epoch": 0.27033792240300375,
|
2101 |
+
"grad_norm": 0.623928964138031,
|
2102 |
+
"learning_rate": 0.0001676387410292906,
|
2103 |
+
"loss": 2.4355,
|
2104 |
+
"step": 297
|
2105 |
+
},
|
2106 |
+
{
|
2107 |
+
"epoch": 0.27124815109796335,
|
2108 |
+
"grad_norm": 0.7393582463264465,
|
2109 |
+
"learning_rate": 0.00016742597799256182,
|
2110 |
+
"loss": 2.699,
|
2111 |
+
"step": 298
|
2112 |
+
},
|
2113 |
+
{
|
2114 |
+
"epoch": 0.27215837979292296,
|
2115 |
+
"grad_norm": 0.845248818397522,
|
2116 |
+
"learning_rate": 0.000167212653816206,
|
2117 |
+
"loss": 2.6997,
|
2118 |
+
"step": 299
|
2119 |
+
},
|
2120 |
+
{
|
2121 |
+
"epoch": 0.27306860848788256,
|
2122 |
+
"grad_norm": 1.6121950149536133,
|
2123 |
+
"learning_rate": 0.00016699877027557226,
|
2124 |
+
"loss": 2.7515,
|
2125 |
+
"step": 300
|
2126 |
+
},
|
2127 |
+
{
|
2128 |
+
"epoch": 0.2739788371828422,
|
2129 |
+
"grad_norm": 0.4747787117958069,
|
2130 |
+
"learning_rate": 0.00016678432915066488,
|
2131 |
+
"loss": 2.5881,
|
2132 |
+
"step": 301
|
2133 |
+
},
|
2134 |
+
{
|
2135 |
+
"epoch": 0.2748890658778018,
|
2136 |
+
"grad_norm": 0.46245065331459045,
|
2137 |
+
"learning_rate": 0.00016656933222612854,
|
2138 |
+
"loss": 2.4625,
|
2139 |
+
"step": 302
|
2140 |
+
},
|
2141 |
+
{
|
2142 |
+
"epoch": 0.2757992945727614,
|
2143 |
+
"grad_norm": 0.5154780745506287,
|
2144 |
+
"learning_rate": 0.00016635378129123342,
|
2145 |
+
"loss": 2.4195,
|
2146 |
+
"step": 303
|
2147 |
+
},
|
2148 |
+
{
|
2149 |
+
"epoch": 0.276709523267721,
|
2150 |
+
"grad_norm": 0.46146687865257263,
|
2151 |
+
"learning_rate": 0.00016613767813986044,
|
2152 |
+
"loss": 2.4896,
|
2153 |
+
"step": 304
|
2154 |
+
},
|
2155 |
+
{
|
2156 |
+
"epoch": 0.2776197519626806,
|
2157 |
+
"grad_norm": 0.42735326290130615,
|
2158 |
+
"learning_rate": 0.0001659210245704861,
|
2159 |
+
"loss": 2.4185,
|
2160 |
+
"step": 305
|
2161 |
+
},
|
2162 |
+
{
|
2163 |
+
"epoch": 0.27852998065764023,
|
2164 |
+
"grad_norm": 0.40846991539001465,
|
2165 |
+
"learning_rate": 0.00016570382238616777,
|
2166 |
+
"loss": 2.4187,
|
2167 |
+
"step": 306
|
2168 |
+
},
|
2169 |
+
{
|
2170 |
+
"epoch": 0.27944020935259983,
|
2171 |
+
"grad_norm": 0.3983679711818695,
|
2172 |
+
"learning_rate": 0.00016548607339452853,
|
2173 |
+
"loss": 2.3726,
|
2174 |
+
"step": 307
|
2175 |
+
},
|
2176 |
+
{
|
2177 |
+
"epoch": 0.28035043804755944,
|
2178 |
+
"grad_norm": 0.4192310869693756,
|
2179 |
+
"learning_rate": 0.00016526777940774204,
|
2180 |
+
"loss": 2.3308,
|
2181 |
+
"step": 308
|
2182 |
+
},
|
2183 |
+
{
|
2184 |
+
"epoch": 0.28126066674251904,
|
2185 |
+
"grad_norm": 0.4130899906158447,
|
2186 |
+
"learning_rate": 0.00016504894224251778,
|
2187 |
+
"loss": 2.3803,
|
2188 |
+
"step": 309
|
2189 |
+
},
|
2190 |
+
{
|
2191 |
+
"epoch": 0.28217089543747864,
|
2192 |
+
"grad_norm": 0.3945166766643524,
|
2193 |
+
"learning_rate": 0.0001648295637200856,
|
2194 |
+
"loss": 2.2948,
|
2195 |
+
"step": 310
|
2196 |
+
},
|
2197 |
+
{
|
2198 |
+
"epoch": 0.2830811241324383,
|
2199 |
+
"grad_norm": 0.4377036392688751,
|
2200 |
+
"learning_rate": 0.0001646096456661807,
|
2201 |
+
"loss": 2.376,
|
2202 |
+
"step": 311
|
2203 |
+
},
|
2204 |
+
{
|
2205 |
+
"epoch": 0.2839913528273979,
|
2206 |
+
"grad_norm": 0.4076646864414215,
|
2207 |
+
"learning_rate": 0.00016438918991102842,
|
2208 |
+
"loss": 2.202,
|
2209 |
+
"step": 312
|
2210 |
+
},
|
2211 |
+
{
|
2212 |
+
"epoch": 0.2849015815223575,
|
2213 |
+
"grad_norm": 0.410691499710083,
|
2214 |
+
"learning_rate": 0.000164168198289329,
|
2215 |
+
"loss": 2.3081,
|
2216 |
+
"step": 313
|
2217 |
+
},
|
2218 |
+
{
|
2219 |
+
"epoch": 0.2858118102173171,
|
2220 |
+
"grad_norm": 0.40779241919517517,
|
2221 |
+
"learning_rate": 0.00016394667264024246,
|
2222 |
+
"loss": 2.3292,
|
2223 |
+
"step": 314
|
2224 |
+
},
|
2225 |
+
{
|
2226 |
+
"epoch": 0.2867220389122767,
|
2227 |
+
"grad_norm": 0.3915857970714569,
|
2228 |
+
"learning_rate": 0.00016372461480737297,
|
2229 |
+
"loss": 2.313,
|
2230 |
+
"step": 315
|
2231 |
+
},
|
2232 |
+
{
|
2233 |
+
"epoch": 0.2876322676072363,
|
2234 |
+
"grad_norm": 0.40646892786026,
|
2235 |
+
"learning_rate": 0.00016350202663875386,
|
2236 |
+
"loss": 1.9998,
|
2237 |
+
"step": 316
|
2238 |
+
},
|
2239 |
+
{
|
2240 |
+
"epoch": 0.2885424963021959,
|
2241 |
+
"grad_norm": 0.3695480525493622,
|
2242 |
+
"learning_rate": 0.00016327890998683192,
|
2243 |
+
"loss": 2.0481,
|
2244 |
+
"step": 317
|
2245 |
+
},
|
2246 |
+
{
|
2247 |
+
"epoch": 0.2894527249971555,
|
2248 |
+
"grad_norm": 0.37870198488235474,
|
2249 |
+
"learning_rate": 0.00016305526670845226,
|
2250 |
+
"loss": 2.1776,
|
2251 |
+
"step": 318
|
2252 |
+
},
|
2253 |
+
{
|
2254 |
+
"epoch": 0.2903629536921151,
|
2255 |
+
"grad_norm": 0.3980102837085724,
|
2256 |
+
"learning_rate": 0.0001628310986648427,
|
2257 |
+
"loss": 2.21,
|
2258 |
+
"step": 319
|
2259 |
+
},
|
2260 |
+
{
|
2261 |
+
"epoch": 0.2912731823870747,
|
2262 |
+
"grad_norm": 0.42144468426704407,
|
2263 |
+
"learning_rate": 0.0001626064077215983,
|
2264 |
+
"loss": 2.3021,
|
2265 |
+
"step": 320
|
2266 |
+
},
|
2267 |
+
{
|
2268 |
+
"epoch": 0.2921834110820344,
|
2269 |
+
"grad_norm": 0.39952829480171204,
|
2270 |
+
"learning_rate": 0.00016238119574866588,
|
2271 |
+
"loss": 2.1492,
|
2272 |
+
"step": 321
|
2273 |
+
},
|
2274 |
+
{
|
2275 |
+
"epoch": 0.293093639776994,
|
2276 |
+
"grad_norm": 0.42757153511047363,
|
2277 |
+
"learning_rate": 0.0001621554646203284,
|
2278 |
+
"loss": 1.8572,
|
2279 |
+
"step": 322
|
2280 |
+
},
|
2281 |
+
{
|
2282 |
+
"epoch": 0.2940038684719536,
|
2283 |
+
"grad_norm": 0.418364018201828,
|
2284 |
+
"learning_rate": 0.00016192921621518944,
|
2285 |
+
"loss": 2.1835,
|
2286 |
+
"step": 323
|
2287 |
+
},
|
2288 |
+
{
|
2289 |
+
"epoch": 0.2949140971669132,
|
2290 |
+
"grad_norm": 0.41788679361343384,
|
2291 |
+
"learning_rate": 0.0001617024524161574,
|
2292 |
+
"loss": 2.2657,
|
2293 |
+
"step": 324
|
2294 |
+
},
|
2295 |
+
{
|
2296 |
+
"epoch": 0.2958243258618728,
|
2297 |
+
"grad_norm": 0.44890159368515015,
|
2298 |
+
"learning_rate": 0.0001614751751104301,
|
2299 |
+
"loss": 2.2471,
|
2300 |
+
"step": 325
|
2301 |
+
},
|
2302 |
+
{
|
2303 |
+
"epoch": 0.2967345545568324,
|
2304 |
+
"grad_norm": 0.4491661787033081,
|
2305 |
+
"learning_rate": 0.0001612473861894788,
|
2306 |
+
"loss": 1.971,
|
2307 |
+
"step": 326
|
2308 |
+
},
|
2309 |
+
{
|
2310 |
+
"epoch": 0.297644783251792,
|
2311 |
+
"grad_norm": 0.3881804943084717,
|
2312 |
+
"learning_rate": 0.00016101908754903268,
|
2313 |
+
"loss": 2.0647,
|
2314 |
+
"step": 327
|
2315 |
+
},
|
2316 |
+
{
|
2317 |
+
"epoch": 0.2985550119467516,
|
2318 |
+
"grad_norm": 0.42832571268081665,
|
2319 |
+
"learning_rate": 0.00016079028108906282,
|
2320 |
+
"loss": 2.1406,
|
2321 |
+
"step": 328
|
2322 |
+
},
|
2323 |
+
{
|
2324 |
+
"epoch": 0.2994652406417112,
|
2325 |
+
"grad_norm": 0.4422348439693451,
|
2326 |
+
"learning_rate": 0.00016056096871376667,
|
2327 |
+
"loss": 2.0549,
|
2328 |
+
"step": 329
|
2329 |
+
},
|
2330 |
+
{
|
2331 |
+
"epoch": 0.30037546933667086,
|
2332 |
+
"grad_norm": 0.4560178220272064,
|
2333 |
+
"learning_rate": 0.00016033115233155202,
|
2334 |
+
"loss": 2.2055,
|
2335 |
+
"step": 330
|
2336 |
+
},
|
2337 |
+
{
|
2338 |
+
"epoch": 0.30128569803163047,
|
2339 |
+
"grad_norm": 0.4027805030345917,
|
2340 |
+
"learning_rate": 0.0001601008338550211,
|
2341 |
+
"loss": 2.0151,
|
2342 |
+
"step": 331
|
2343 |
+
},
|
2344 |
+
{
|
2345 |
+
"epoch": 0.30219592672659007,
|
2346 |
+
"grad_norm": 0.4404117465019226,
|
2347 |
+
"learning_rate": 0.00015987001520095478,
|
2348 |
+
"loss": 2.1838,
|
2349 |
+
"step": 332
|
2350 |
+
},
|
2351 |
+
{
|
2352 |
+
"epoch": 0.3031061554215497,
|
2353 |
+
"grad_norm": 0.47021403908729553,
|
2354 |
+
"learning_rate": 0.00015963869829029658,
|
2355 |
+
"loss": 2.1402,
|
2356 |
+
"step": 333
|
2357 |
+
},
|
2358 |
+
{
|
2359 |
+
"epoch": 0.3040163841165093,
|
2360 |
+
"grad_norm": 0.44921791553497314,
|
2361 |
+
"learning_rate": 0.00015940688504813662,
|
2362 |
+
"loss": 2.2947,
|
2363 |
+
"step": 334
|
2364 |
+
},
|
2365 |
+
{
|
2366 |
+
"epoch": 0.3049266128114689,
|
2367 |
+
"grad_norm": 0.4406517744064331,
|
2368 |
+
"learning_rate": 0.00015917457740369565,
|
2369 |
+
"loss": 2.142,
|
2370 |
+
"step": 335
|
2371 |
+
},
|
2372 |
+
{
|
2373 |
+
"epoch": 0.3058368415064285,
|
2374 |
+
"grad_norm": 0.43675345182418823,
|
2375 |
+
"learning_rate": 0.000158941777290309,
|
2376 |
+
"loss": 2.0953,
|
2377 |
+
"step": 336
|
2378 |
+
},
|
2379 |
+
{
|
2380 |
+
"epoch": 0.3067470702013881,
|
2381 |
+
"grad_norm": 0.4730078876018524,
|
2382 |
+
"learning_rate": 0.00015870848664541044,
|
2383 |
+
"loss": 2.2471,
|
2384 |
+
"step": 337
|
2385 |
+
},
|
2386 |
+
{
|
2387 |
+
"epoch": 0.3076572988963477,
|
2388 |
+
"grad_norm": 0.43952468037605286,
|
2389 |
+
"learning_rate": 0.00015847470741051618,
|
2390 |
+
"loss": 2.1458,
|
2391 |
+
"step": 338
|
2392 |
+
},
|
2393 |
+
{
|
2394 |
+
"epoch": 0.3085675275913073,
|
2395 |
+
"grad_norm": 0.4473972022533417,
|
2396 |
+
"learning_rate": 0.00015824044153120852,
|
2397 |
+
"loss": 2.1065,
|
2398 |
+
"step": 339
|
2399 |
+
},
|
2400 |
+
{
|
2401 |
+
"epoch": 0.30947775628626695,
|
2402 |
+
"grad_norm": 0.49501466751098633,
|
2403 |
+
"learning_rate": 0.00015800569095711982,
|
2404 |
+
"loss": 2.1574,
|
2405 |
+
"step": 340
|
2406 |
+
},
|
2407 |
+
{
|
2408 |
+
"epoch": 0.31038798498122655,
|
2409 |
+
"grad_norm": 0.4756048023700714,
|
2410 |
+
"learning_rate": 0.00015777045764191625,
|
2411 |
+
"loss": 2.019,
|
2412 |
+
"step": 341
|
2413 |
+
},
|
2414 |
+
{
|
2415 |
+
"epoch": 0.31129821367618615,
|
2416 |
+
"grad_norm": 0.491579532623291,
|
2417 |
+
"learning_rate": 0.00015753474354328142,
|
2418 |
+
"loss": 2.2317,
|
2419 |
+
"step": 342
|
2420 |
+
},
|
2421 |
+
{
|
2422 |
+
"epoch": 0.31220844237114576,
|
2423 |
+
"grad_norm": 0.5067722797393799,
|
2424 |
+
"learning_rate": 0.00015729855062290022,
|
2425 |
+
"loss": 2.4042,
|
2426 |
+
"step": 343
|
2427 |
+
},
|
2428 |
+
{
|
2429 |
+
"epoch": 0.31311867106610536,
|
2430 |
+
"grad_norm": 0.5405014157295227,
|
2431 |
+
"learning_rate": 0.00015706188084644242,
|
2432 |
+
"loss": 2.243,
|
2433 |
+
"step": 344
|
2434 |
+
},
|
2435 |
+
{
|
2436 |
+
"epoch": 0.31402889976106496,
|
2437 |
+
"grad_norm": 0.536719799041748,
|
2438 |
+
"learning_rate": 0.00015682473618354635,
|
2439 |
+
"loss": 2.2665,
|
2440 |
+
"step": 345
|
2441 |
+
},
|
2442 |
+
{
|
2443 |
+
"epoch": 0.31493912845602456,
|
2444 |
+
"grad_norm": 0.5940792560577393,
|
2445 |
+
"learning_rate": 0.0001565871186078025,
|
2446 |
+
"loss": 2.4295,
|
2447 |
+
"step": 346
|
2448 |
+
},
|
2449 |
+
{
|
2450 |
+
"epoch": 0.31584935715098417,
|
2451 |
+
"grad_norm": 0.6351253986358643,
|
2452 |
+
"learning_rate": 0.00015634903009673705,
|
2453 |
+
"loss": 2.5128,
|
2454 |
+
"step": 347
|
2455 |
+
},
|
2456 |
+
{
|
2457 |
+
"epoch": 0.31675958584594377,
|
2458 |
+
"grad_norm": 0.7466199398040771,
|
2459 |
+
"learning_rate": 0.00015611047263179548,
|
2460 |
+
"loss": 2.56,
|
2461 |
+
"step": 348
|
2462 |
+
},
|
2463 |
+
{
|
2464 |
+
"epoch": 0.31766981454090343,
|
2465 |
+
"grad_norm": 0.84588623046875,
|
2466 |
+
"learning_rate": 0.000155871448198326,
|
2467 |
+
"loss": 2.6547,
|
2468 |
+
"step": 349
|
2469 |
+
},
|
2470 |
+
{
|
2471 |
+
"epoch": 0.31858004323586303,
|
2472 |
+
"grad_norm": 1.7304902076721191,
|
2473 |
+
"learning_rate": 0.0001556319587855631,
|
2474 |
+
"loss": 2.7543,
|
2475 |
+
"step": 350
|
2476 |
+
},
|
2477 |
+
{
|
2478 |
+
"epoch": 0.31949027193082263,
|
2479 |
+
"grad_norm": 0.5234479308128357,
|
2480 |
+
"learning_rate": 0.00015539200638661104,
|
2481 |
+
"loss": 2.6642,
|
2482 |
+
"step": 351
|
2483 |
+
},
|
2484 |
+
{
|
2485 |
+
"epoch": 0.32040050062578224,
|
2486 |
+
"grad_norm": 0.5147595405578613,
|
2487 |
+
"learning_rate": 0.00015515159299842707,
|
2488 |
+
"loss": 2.4943,
|
2489 |
+
"step": 352
|
2490 |
+
},
|
2491 |
+
{
|
2492 |
+
"epoch": 0.32131072932074184,
|
2493 |
+
"grad_norm": 0.4990614950656891,
|
2494 |
+
"learning_rate": 0.00015491072062180503,
|
2495 |
+
"loss": 2.4958,
|
2496 |
+
"step": 353
|
2497 |
+
},
|
2498 |
+
{
|
2499 |
+
"epoch": 0.32222095801570144,
|
2500 |
+
"grad_norm": 0.45430535078048706,
|
2501 |
+
"learning_rate": 0.00015466939126135856,
|
2502 |
+
"loss": 2.4471,
|
2503 |
+
"step": 354
|
2504 |
+
},
|
2505 |
+
{
|
2506 |
+
"epoch": 0.32313118671066104,
|
2507 |
+
"grad_norm": 0.44151967763900757,
|
2508 |
+
"learning_rate": 0.00015442760692550443,
|
2509 |
+
"loss": 2.2696,
|
2510 |
+
"step": 355
|
2511 |
+
},
|
2512 |
+
{
|
2513 |
+
"epoch": 0.32404141540562065,
|
2514 |
+
"grad_norm": 0.4359540641307831,
|
2515 |
+
"learning_rate": 0.00015418536962644592,
|
2516 |
+
"loss": 2.4827,
|
2517 |
+
"step": 356
|
2518 |
+
},
|
2519 |
+
{
|
2520 |
+
"epoch": 0.32495164410058025,
|
2521 |
+
"grad_norm": 0.4277969002723694,
|
2522 |
+
"learning_rate": 0.00015394268138015598,
|
2523 |
+
"loss": 2.4197,
|
2524 |
+
"step": 357
|
2525 |
+
},
|
2526 |
+
{
|
2527 |
+
"epoch": 0.32586187279553985,
|
2528 |
+
"grad_norm": 0.42158129811286926,
|
2529 |
+
"learning_rate": 0.00015369954420636048,
|
2530 |
+
"loss": 2.3935,
|
2531 |
+
"step": 358
|
2532 |
+
},
|
2533 |
+
{
|
2534 |
+
"epoch": 0.3267721014904995,
|
2535 |
+
"grad_norm": 0.4236292243003845,
|
2536 |
+
"learning_rate": 0.00015345596012852138,
|
2537 |
+
"loss": 2.3498,
|
2538 |
+
"step": 359
|
2539 |
+
},
|
2540 |
+
{
|
2541 |
+
"epoch": 0.3276823301854591,
|
2542 |
+
"grad_norm": 0.39974719285964966,
|
2543 |
+
"learning_rate": 0.00015321193117381996,
|
2544 |
+
"loss": 2.2955,
|
2545 |
+
"step": 360
|
2546 |
+
},
|
2547 |
+
{
|
2548 |
+
"epoch": 0.3285925588804187,
|
2549 |
+
"grad_norm": 0.39424553513526917,
|
2550 |
+
"learning_rate": 0.00015296745937313987,
|
2551 |
+
"loss": 2.2767,
|
2552 |
+
"step": 361
|
2553 |
+
},
|
2554 |
+
{
|
2555 |
+
"epoch": 0.3295027875753783,
|
2556 |
+
"grad_norm": 0.4082043170928955,
|
2557 |
+
"learning_rate": 0.00015272254676105025,
|
2558 |
+
"loss": 2.2224,
|
2559 |
+
"step": 362
|
2560 |
+
},
|
2561 |
+
{
|
2562 |
+
"epoch": 0.3304130162703379,
|
2563 |
+
"grad_norm": 0.3964308798313141,
|
2564 |
+
"learning_rate": 0.00015247719537578883,
|
2565 |
+
"loss": 2.2479,
|
2566 |
+
"step": 363
|
2567 |
+
},
|
2568 |
+
{
|
2569 |
+
"epoch": 0.3313232449652975,
|
2570 |
+
"grad_norm": 0.40646740794181824,
|
2571 |
+
"learning_rate": 0.00015223140725924495,
|
2572 |
+
"loss": 2.3327,
|
2573 |
+
"step": 364
|
2574 |
+
},
|
2575 |
+
{
|
2576 |
+
"epoch": 0.33223347366025713,
|
2577 |
+
"grad_norm": 0.4101439118385315,
|
2578 |
+
"learning_rate": 0.00015198518445694255,
|
2579 |
+
"loss": 2.4099,
|
2580 |
+
"step": 365
|
2581 |
+
},
|
2582 |
+
{
|
2583 |
+
"epoch": 0.33314370235521673,
|
2584 |
+
"grad_norm": 0.400878369808197,
|
2585 |
+
"learning_rate": 0.0001517385290180231,
|
2586 |
+
"loss": 2.272,
|
2587 |
+
"step": 366
|
2588 |
+
},
|
2589 |
+
{
|
2590 |
+
"epoch": 0.33405393105017633,
|
2591 |
+
"grad_norm": 0.37038350105285645,
|
2592 |
+
"learning_rate": 0.00015149144299522873,
|
2593 |
+
"loss": 2.1738,
|
2594 |
+
"step": 367
|
2595 |
+
},
|
2596 |
+
{
|
2597 |
+
"epoch": 0.334964159745136,
|
2598 |
+
"grad_norm": 0.37709566950798035,
|
2599 |
+
"learning_rate": 0.0001512439284448849,
|
2600 |
+
"loss": 2.1423,
|
2601 |
+
"step": 368
|
2602 |
+
},
|
2603 |
+
{
|
2604 |
+
"epoch": 0.3358743884400956,
|
2605 |
+
"grad_norm": 0.40142226219177246,
|
2606 |
+
"learning_rate": 0.0001509959874268835,
|
2607 |
+
"loss": 2.2503,
|
2608 |
+
"step": 369
|
2609 |
+
},
|
2610 |
+
{
|
2611 |
+
"epoch": 0.3367846171350552,
|
2612 |
+
"grad_norm": 0.38601839542388916,
|
2613 |
+
"learning_rate": 0.00015074762200466556,
|
2614 |
+
"loss": 2.15,
|
2615 |
+
"step": 370
|
2616 |
+
},
|
2617 |
+
{
|
2618 |
+
"epoch": 0.3376948458300148,
|
2619 |
+
"grad_norm": 0.39862939715385437,
|
2620 |
+
"learning_rate": 0.00015049883424520414,
|
2621 |
+
"loss": 2.2177,
|
2622 |
+
"step": 371
|
2623 |
+
},
|
2624 |
+
{
|
2625 |
+
"epoch": 0.3386050745249744,
|
2626 |
+
"grad_norm": 0.40157076716423035,
|
2627 |
+
"learning_rate": 0.00015024962621898715,
|
2628 |
+
"loss": 2.2062,
|
2629 |
+
"step": 372
|
2630 |
+
},
|
2631 |
+
{
|
2632 |
+
"epoch": 0.339515303219934,
|
2633 |
+
"grad_norm": 0.38866209983825684,
|
2634 |
+
"learning_rate": 0.00015000000000000001,
|
2635 |
+
"loss": 2.1295,
|
2636 |
+
"step": 373
|
2637 |
+
},
|
2638 |
+
{
|
2639 |
+
"epoch": 0.3404255319148936,
|
2640 |
+
"grad_norm": 0.40278226137161255,
|
2641 |
+
"learning_rate": 0.00014974995766570855,
|
2642 |
+
"loss": 2.1402,
|
2643 |
+
"step": 374
|
2644 |
+
},
|
2645 |
+
{
|
2646 |
+
"epoch": 0.3413357606098532,
|
2647 |
+
"grad_norm": 0.41342514753341675,
|
2648 |
+
"learning_rate": 0.00014949950129704162,
|
2649 |
+
"loss": 2.1778,
|
2650 |
+
"step": 375
|
2651 |
+
},
|
2652 |
+
{
|
2653 |
+
"epoch": 0.3422459893048128,
|
2654 |
+
"grad_norm": 0.4095761775970459,
|
2655 |
+
"learning_rate": 0.00014924863297837378,
|
2656 |
+
"loss": 2.0599,
|
2657 |
+
"step": 376
|
2658 |
+
},
|
2659 |
+
{
|
2660 |
+
"epoch": 0.3431562179997724,
|
2661 |
+
"grad_norm": 0.4194605350494385,
|
2662 |
+
"learning_rate": 0.00014899735479750794,
|
2663 |
+
"loss": 2.2467,
|
2664 |
+
"step": 377
|
2665 |
+
},
|
2666 |
+
{
|
2667 |
+
"epoch": 0.3440664466947321,
|
2668 |
+
"grad_norm": 0.41888725757598877,
|
2669 |
+
"learning_rate": 0.00014874566884565807,
|
2670 |
+
"loss": 2.0157,
|
2671 |
+
"step": 378
|
2672 |
+
},
|
2673 |
+
{
|
2674 |
+
"epoch": 0.3449766753896917,
|
2675 |
+
"grad_norm": 0.41246896982192993,
|
2676 |
+
"learning_rate": 0.00014849357721743168,
|
2677 |
+
"loss": 2.1508,
|
2678 |
+
"step": 379
|
2679 |
+
},
|
2680 |
+
{
|
2681 |
+
"epoch": 0.3458869040846513,
|
2682 |
+
"grad_norm": 0.4054362177848816,
|
2683 |
+
"learning_rate": 0.00014824108201081247,
|
2684 |
+
"loss": 2.0896,
|
2685 |
+
"step": 380
|
2686 |
+
},
|
2687 |
+
{
|
2688 |
+
"epoch": 0.3467971327796109,
|
2689 |
+
"grad_norm": 0.4158082902431488,
|
2690 |
+
"learning_rate": 0.00014798818532714279,
|
2691 |
+
"loss": 2.0494,
|
2692 |
+
"step": 381
|
2693 |
+
},
|
2694 |
+
{
|
2695 |
+
"epoch": 0.3477073614745705,
|
2696 |
+
"grad_norm": 0.43001338839530945,
|
2697 |
+
"learning_rate": 0.00014773488927110633,
|
2698 |
+
"loss": 2.1462,
|
2699 |
+
"step": 382
|
2700 |
+
},
|
2701 |
+
{
|
2702 |
+
"epoch": 0.3486175901695301,
|
2703 |
+
"grad_norm": 0.4192085862159729,
|
2704 |
+
"learning_rate": 0.00014748119595071034,
|
2705 |
+
"loss": 1.9395,
|
2706 |
+
"step": 383
|
2707 |
+
},
|
2708 |
+
{
|
2709 |
+
"epoch": 0.3495278188644897,
|
2710 |
+
"grad_norm": 0.45981523394584656,
|
2711 |
+
"learning_rate": 0.0001472271074772683,
|
2712 |
+
"loss": 2.2445,
|
2713 |
+
"step": 384
|
2714 |
+
},
|
2715 |
+
{
|
2716 |
+
"epoch": 0.3504380475594493,
|
2717 |
+
"grad_norm": 0.4254681169986725,
|
2718 |
+
"learning_rate": 0.00014697262596538227,
|
2719 |
+
"loss": 2.2156,
|
2720 |
+
"step": 385
|
2721 |
+
},
|
2722 |
+
{
|
2723 |
+
"epoch": 0.3513482762544089,
|
2724 |
+
"grad_norm": 0.4846554100513458,
|
2725 |
+
"learning_rate": 0.00014671775353292525,
|
2726 |
+
"loss": 2.1879,
|
2727 |
+
"step": 386
|
2728 |
+
},
|
2729 |
+
{
|
2730 |
+
"epoch": 0.35225850494936856,
|
2731 |
+
"grad_norm": 0.4701845645904541,
|
2732 |
+
"learning_rate": 0.00014646249230102366,
|
2733 |
+
"loss": 2.2736,
|
2734 |
+
"step": 387
|
2735 |
+
},
|
2736 |
+
{
|
2737 |
+
"epoch": 0.35316873364432816,
|
2738 |
+
"grad_norm": 0.45750224590301514,
|
2739 |
+
"learning_rate": 0.00014620684439403962,
|
2740 |
+
"loss": 2.2816,
|
2741 |
+
"step": 388
|
2742 |
+
},
|
2743 |
+
{
|
2744 |
+
"epoch": 0.35407896233928776,
|
2745 |
+
"grad_norm": 0.4719528555870056,
|
2746 |
+
"learning_rate": 0.00014595081193955324,
|
2747 |
+
"loss": 2.1235,
|
2748 |
+
"step": 389
|
2749 |
+
},
|
2750 |
+
{
|
2751 |
+
"epoch": 0.35498919103424736,
|
2752 |
+
"grad_norm": 0.49415460228919983,
|
2753 |
+
"learning_rate": 0.000145694397068345,
|
2754 |
+
"loss": 2.1539,
|
2755 |
+
"step": 390
|
2756 |
+
},
|
2757 |
+
{
|
2758 |
+
"epoch": 0.35589941972920697,
|
2759 |
+
"grad_norm": 0.5116055011749268,
|
2760 |
+
"learning_rate": 0.0001454376019143779,
|
2761 |
+
"loss": 2.1482,
|
2762 |
+
"step": 391
|
2763 |
+
},
|
2764 |
+
{
|
2765 |
+
"epoch": 0.35680964842416657,
|
2766 |
+
"grad_norm": 0.4707508087158203,
|
2767 |
+
"learning_rate": 0.00014518042861477986,
|
2768 |
+
"loss": 2.1791,
|
2769 |
+
"step": 392
|
2770 |
+
},
|
2771 |
+
{
|
2772 |
+
"epoch": 0.3577198771191262,
|
2773 |
+
"grad_norm": 0.47449609637260437,
|
2774 |
+
"learning_rate": 0.00014492287930982576,
|
2775 |
+
"loss": 2.1772,
|
2776 |
+
"step": 393
|
2777 |
+
},
|
2778 |
+
{
|
2779 |
+
"epoch": 0.3586301058140858,
|
2780 |
+
"grad_norm": 0.5449949502944946,
|
2781 |
+
"learning_rate": 0.00014466495614291977,
|
2782 |
+
"loss": 2.454,
|
2783 |
+
"step": 394
|
2784 |
+
},
|
2785 |
+
{
|
2786 |
+
"epoch": 0.3595403345090454,
|
2787 |
+
"grad_norm": 0.5154662728309631,
|
2788 |
+
"learning_rate": 0.00014440666126057744,
|
2789 |
+
"loss": 2.372,
|
2790 |
+
"step": 395
|
2791 |
+
},
|
2792 |
+
{
|
2793 |
+
"epoch": 0.360450563204005,
|
2794 |
+
"grad_norm": 0.5283260941505432,
|
2795 |
+
"learning_rate": 0.0001441479968124078,
|
2796 |
+
"loss": 2.3964,
|
2797 |
+
"step": 396
|
2798 |
+
},
|
2799 |
+
{
|
2800 |
+
"epoch": 0.36136079189896464,
|
2801 |
+
"grad_norm": 0.5910937190055847,
|
2802 |
+
"learning_rate": 0.0001438889649510956,
|
2803 |
+
"loss": 2.5046,
|
2804 |
+
"step": 397
|
2805 |
+
},
|
2806 |
+
{
|
2807 |
+
"epoch": 0.36227102059392424,
|
2808 |
+
"grad_norm": 0.6620859503746033,
|
2809 |
+
"learning_rate": 0.00014362956783238324,
|
2810 |
+
"loss": 2.642,
|
2811 |
+
"step": 398
|
2812 |
+
},
|
2813 |
+
{
|
2814 |
+
"epoch": 0.36318124928888385,
|
2815 |
+
"grad_norm": 0.7961871027946472,
|
2816 |
+
"learning_rate": 0.00014336980761505297,
|
2817 |
+
"loss": 2.6575,
|
2818 |
+
"step": 399
|
2819 |
+
},
|
2820 |
+
{
|
2821 |
+
"epoch": 0.36409147798384345,
|
2822 |
+
"grad_norm": 1.4348353147506714,
|
2823 |
+
"learning_rate": 0.00014310968646090883,
|
2824 |
+
"loss": 2.7044,
|
2825 |
+
"step": 400
|
2826 |
+
},
|
2827 |
+
{
|
2828 |
+
"epoch": 0.36500170667880305,
|
2829 |
+
"grad_norm": 0.5091971755027771,
|
2830 |
+
"learning_rate": 0.00014284920653475866,
|
2831 |
+
"loss": 2.6281,
|
2832 |
+
"step": 401
|
2833 |
+
},
|
2834 |
+
{
|
2835 |
+
"epoch": 0.36591193537376265,
|
2836 |
+
"grad_norm": 0.4547927975654602,
|
2837 |
+
"learning_rate": 0.00014258837000439618,
|
2838 |
+
"loss": 2.3868,
|
2839 |
+
"step": 402
|
2840 |
+
},
|
2841 |
+
{
|
2842 |
+
"epoch": 0.36682216406872226,
|
2843 |
+
"grad_norm": 0.4767512083053589,
|
2844 |
+
"learning_rate": 0.0001423271790405828,
|
2845 |
+
"loss": 2.4612,
|
2846 |
+
"step": 403
|
2847 |
+
},
|
2848 |
+
{
|
2849 |
+
"epoch": 0.36773239276368186,
|
2850 |
+
"grad_norm": 0.4405704736709595,
|
2851 |
+
"learning_rate": 0.00014206563581702964,
|
2852 |
+
"loss": 2.3659,
|
2853 |
+
"step": 404
|
2854 |
+
},
|
2855 |
+
{
|
2856 |
+
"epoch": 0.36864262145864146,
|
2857 |
+
"grad_norm": 0.46354222297668457,
|
2858 |
+
"learning_rate": 0.0001418037425103795,
|
2859 |
+
"loss": 2.5197,
|
2860 |
+
"step": 405
|
2861 |
+
},
|
2862 |
+
{
|
2863 |
+
"epoch": 0.36955285015360106,
|
2864 |
+
"grad_norm": 0.4474616050720215,
|
2865 |
+
"learning_rate": 0.00014154150130018866,
|
2866 |
+
"loss": 2.5156,
|
2867 |
+
"step": 406
|
2868 |
+
},
|
2869 |
+
{
|
2870 |
+
"epoch": 0.3704630788485607,
|
2871 |
+
"grad_norm": 0.40332525968551636,
|
2872 |
+
"learning_rate": 0.00014127891436890868,
|
2873 |
+
"loss": 2.3852,
|
2874 |
+
"step": 407
|
2875 |
+
},
|
2876 |
+
{
|
2877 |
+
"epoch": 0.3713733075435203,
|
2878 |
+
"grad_norm": 0.3969736695289612,
|
2879 |
+
"learning_rate": 0.0001410159839018684,
|
2880 |
+
"loss": 2.316,
|
2881 |
+
"step": 408
|
2882 |
+
},
|
2883 |
+
{
|
2884 |
+
"epoch": 0.37228353623847993,
|
2885 |
+
"grad_norm": 0.40719449520111084,
|
2886 |
+
"learning_rate": 0.0001407527120872557,
|
2887 |
+
"loss": 2.3618,
|
2888 |
+
"step": 409
|
2889 |
+
},
|
2890 |
+
{
|
2891 |
+
"epoch": 0.37319376493343953,
|
2892 |
+
"grad_norm": 0.4055502116680145,
|
2893 |
+
"learning_rate": 0.00014048910111609915,
|
2894 |
+
"loss": 2.2901,
|
2895 |
+
"step": 410
|
2896 |
+
},
|
2897 |
+
{
|
2898 |
+
"epoch": 0.37410399362839913,
|
2899 |
+
"grad_norm": 0.3881557285785675,
|
2900 |
+
"learning_rate": 0.0001402251531822499,
|
2901 |
+
"loss": 2.3096,
|
2902 |
+
"step": 411
|
2903 |
+
},
|
2904 |
+
{
|
2905 |
+
"epoch": 0.37501422232335874,
|
2906 |
+
"grad_norm": 0.38520845770835876,
|
2907 |
+
"learning_rate": 0.00013996087048236358,
|
2908 |
+
"loss": 2.096,
|
2909 |
+
"step": 412
|
2910 |
+
},
|
2911 |
+
{
|
2912 |
+
"epoch": 0.37592445101831834,
|
2913 |
+
"grad_norm": 0.42187705636024475,
|
2914 |
+
"learning_rate": 0.00013969625521588158,
|
2915 |
+
"loss": 2.3212,
|
2916 |
+
"step": 413
|
2917 |
+
},
|
2918 |
+
{
|
2919 |
+
"epoch": 0.37683467971327794,
|
2920 |
+
"grad_norm": 0.4028996527194977,
|
2921 |
+
"learning_rate": 0.00013943130958501317,
|
2922 |
+
"loss": 2.2625,
|
2923 |
+
"step": 414
|
2924 |
+
},
|
2925 |
+
{
|
2926 |
+
"epoch": 0.37774490840823755,
|
2927 |
+
"grad_norm": 0.4009808599948883,
|
2928 |
+
"learning_rate": 0.00013916603579471705,
|
2929 |
+
"loss": 2.3579,
|
2930 |
+
"step": 415
|
2931 |
+
},
|
2932 |
+
{
|
2933 |
+
"epoch": 0.3786551371031972,
|
2934 |
+
"grad_norm": 0.3909650146961212,
|
2935 |
+
"learning_rate": 0.00013890043605268283,
|
2936 |
+
"loss": 2.219,
|
2937 |
+
"step": 416
|
2938 |
+
},
|
2939 |
+
{
|
2940 |
+
"epoch": 0.3795653657981568,
|
2941 |
+
"grad_norm": 0.38394787907600403,
|
2942 |
+
"learning_rate": 0.00013863451256931287,
|
2943 |
+
"loss": 2.0305,
|
2944 |
+
"step": 417
|
2945 |
+
},
|
2946 |
+
{
|
2947 |
+
"epoch": 0.3804755944931164,
|
2948 |
+
"grad_norm": 0.38588935136795044,
|
2949 |
+
"learning_rate": 0.00013836826755770384,
|
2950 |
+
"loss": 2.1602,
|
2951 |
+
"step": 418
|
2952 |
+
},
|
2953 |
+
{
|
2954 |
+
"epoch": 0.381385823188076,
|
2955 |
+
"grad_norm": 0.40827664732933044,
|
2956 |
+
"learning_rate": 0.00013810170323362816,
|
2957 |
+
"loss": 2.2656,
|
2958 |
+
"step": 419
|
2959 |
+
},
|
2960 |
+
{
|
2961 |
+
"epoch": 0.3822960518830356,
|
2962 |
+
"grad_norm": 0.38694658875465393,
|
2963 |
+
"learning_rate": 0.0001378348218155158,
|
2964 |
+
"loss": 2.0107,
|
2965 |
+
"step": 420
|
2966 |
+
},
|
2967 |
+
{
|
2968 |
+
"epoch": 0.3832062805779952,
|
2969 |
+
"grad_norm": 0.4133118987083435,
|
2970 |
+
"learning_rate": 0.00013756762552443553,
|
2971 |
+
"loss": 2.2531,
|
2972 |
+
"step": 421
|
2973 |
+
},
|
2974 |
+
{
|
2975 |
+
"epoch": 0.3841165092729548,
|
2976 |
+
"grad_norm": 0.45007333159446716,
|
2977 |
+
"learning_rate": 0.00013730011658407676,
|
2978 |
+
"loss": 2.1968,
|
2979 |
+
"step": 422
|
2980 |
+
},
|
2981 |
+
{
|
2982 |
+
"epoch": 0.3850267379679144,
|
2983 |
+
"grad_norm": 0.4120388329029083,
|
2984 |
+
"learning_rate": 0.00013703229722073065,
|
2985 |
+
"loss": 2.149,
|
2986 |
+
"step": 423
|
2987 |
+
},
|
2988 |
+
{
|
2989 |
+
"epoch": 0.385936966662874,
|
2990 |
+
"grad_norm": 0.3964555561542511,
|
2991 |
+
"learning_rate": 0.000136764169663272,
|
2992 |
+
"loss": 1.9833,
|
2993 |
+
"step": 424
|
2994 |
+
},
|
2995 |
+
{
|
2996 |
+
"epoch": 0.38684719535783363,
|
2997 |
+
"grad_norm": 0.4019937813282013,
|
2998 |
+
"learning_rate": 0.00013649573614314044,
|
2999 |
+
"loss": 2.2682,
|
3000 |
+
"step": 425
|
3001 |
+
},
|
3002 |
+
{
|
3003 |
+
"epoch": 0.3877574240527933,
|
3004 |
+
"grad_norm": 0.4096015691757202,
|
3005 |
+
"learning_rate": 0.00013622699889432184,
|
3006 |
+
"loss": 2.2043,
|
3007 |
+
"step": 426
|
3008 |
+
},
|
3009 |
+
{
|
3010 |
+
"epoch": 0.3886676527477529,
|
3011 |
+
"grad_norm": 0.4118809998035431,
|
3012 |
+
"learning_rate": 0.00013595796015332984,
|
3013 |
+
"loss": 2.0993,
|
3014 |
+
"step": 427
|
3015 |
+
},
|
3016 |
+
{
|
3017 |
+
"epoch": 0.3895778814427125,
|
3018 |
+
"grad_norm": 0.40942683815956116,
|
3019 |
+
"learning_rate": 0.00013568862215918717,
|
3020 |
+
"loss": 2.1092,
|
3021 |
+
"step": 428
|
3022 |
+
},
|
3023 |
+
{
|
3024 |
+
"epoch": 0.3904881101376721,
|
3025 |
+
"grad_norm": 0.44069868326187134,
|
3026 |
+
"learning_rate": 0.00013541898715340716,
|
3027 |
+
"loss": 2.1773,
|
3028 |
+
"step": 429
|
3029 |
+
},
|
3030 |
+
{
|
3031 |
+
"epoch": 0.3913983388326317,
|
3032 |
+
"grad_norm": 0.4173736870288849,
|
3033 |
+
"learning_rate": 0.00013514905737997473,
|
3034 |
+
"loss": 2.3106,
|
3035 |
+
"step": 430
|
3036 |
+
},
|
3037 |
+
{
|
3038 |
+
"epoch": 0.3923085675275913,
|
3039 |
+
"grad_norm": 0.4134718179702759,
|
3040 |
+
"learning_rate": 0.00013487883508532815,
|
3041 |
+
"loss": 2.0739,
|
3042 |
+
"step": 431
|
3043 |
+
},
|
3044 |
+
{
|
3045 |
+
"epoch": 0.3932187962225509,
|
3046 |
+
"grad_norm": 0.4332071840763092,
|
3047 |
+
"learning_rate": 0.00013460832251834011,
|
3048 |
+
"loss": 2.1973,
|
3049 |
+
"step": 432
|
3050 |
+
},
|
3051 |
+
{
|
3052 |
+
"epoch": 0.3941290249175105,
|
3053 |
+
"grad_norm": 0.44685009121894836,
|
3054 |
+
"learning_rate": 0.00013433752193029886,
|
3055 |
+
"loss": 2.1495,
|
3056 |
+
"step": 433
|
3057 |
+
},
|
3058 |
+
{
|
3059 |
+
"epoch": 0.3950392536124701,
|
3060 |
+
"grad_norm": 0.443863183259964,
|
3061 |
+
"learning_rate": 0.0001340664355748899,
|
3062 |
+
"loss": 2.098,
|
3063 |
+
"step": 434
|
3064 |
+
},
|
3065 |
+
{
|
3066 |
+
"epoch": 0.39594948230742977,
|
3067 |
+
"grad_norm": 0.4420264661312103,
|
3068 |
+
"learning_rate": 0.0001337950657081768,
|
3069 |
+
"loss": 2.11,
|
3070 |
+
"step": 435
|
3071 |
+
},
|
3072 |
+
{
|
3073 |
+
"epoch": 0.39685971100238937,
|
3074 |
+
"grad_norm": 0.4621724784374237,
|
3075 |
+
"learning_rate": 0.00013352341458858265,
|
3076 |
+
"loss": 2.2452,
|
3077 |
+
"step": 436
|
3078 |
+
},
|
3079 |
+
{
|
3080 |
+
"epoch": 0.397769939697349,
|
3081 |
+
"grad_norm": 0.4760790467262268,
|
3082 |
+
"learning_rate": 0.00013325148447687125,
|
3083 |
+
"loss": 2.2252,
|
3084 |
+
"step": 437
|
3085 |
+
},
|
3086 |
+
{
|
3087 |
+
"epoch": 0.3986801683923086,
|
3088 |
+
"grad_norm": 0.44758686423301697,
|
3089 |
+
"learning_rate": 0.0001329792776361282,
|
3090 |
+
"loss": 2.0233,
|
3091 |
+
"step": 438
|
3092 |
+
},
|
3093 |
+
{
|
3094 |
+
"epoch": 0.3995903970872682,
|
3095 |
+
"grad_norm": 0.4756091237068176,
|
3096 |
+
"learning_rate": 0.00013270679633174218,
|
3097 |
+
"loss": 2.0235,
|
3098 |
+
"step": 439
|
3099 |
+
},
|
3100 |
+
{
|
3101 |
+
"epoch": 0.4005006257822278,
|
3102 |
+
"grad_norm": 0.46966737508773804,
|
3103 |
+
"learning_rate": 0.00013243404283138597,
|
3104 |
+
"loss": 2.1165,
|
3105 |
+
"step": 440
|
3106 |
+
},
|
3107 |
+
{
|
3108 |
+
"epoch": 0.4014108544771874,
|
3109 |
+
"grad_norm": 0.49555307626724243,
|
3110 |
+
"learning_rate": 0.00013216101940499768,
|
3111 |
+
"loss": 2.0503,
|
3112 |
+
"step": 441
|
3113 |
+
},
|
3114 |
+
{
|
3115 |
+
"epoch": 0.402321083172147,
|
3116 |
+
"grad_norm": 0.5097188353538513,
|
3117 |
+
"learning_rate": 0.00013188772832476188,
|
3118 |
+
"loss": 2.164,
|
3119 |
+
"step": 442
|
3120 |
+
},
|
3121 |
+
{
|
3122 |
+
"epoch": 0.4032313118671066,
|
3123 |
+
"grad_norm": 0.5129069685935974,
|
3124 |
+
"learning_rate": 0.00013161417186509052,
|
3125 |
+
"loss": 2.2285,
|
3126 |
+
"step": 443
|
3127 |
+
},
|
3128 |
+
{
|
3129 |
+
"epoch": 0.4041415405620662,
|
3130 |
+
"grad_norm": 0.5010905265808105,
|
3131 |
+
"learning_rate": 0.00013134035230260427,
|
3132 |
+
"loss": 2.0997,
|
3133 |
+
"step": 444
|
3134 |
+
},
|
3135 |
+
{
|
3136 |
+
"epoch": 0.40505176925702585,
|
3137 |
+
"grad_norm": 0.5693898797035217,
|
3138 |
+
"learning_rate": 0.00013106627191611332,
|
3139 |
+
"loss": 2.2556,
|
3140 |
+
"step": 445
|
3141 |
+
},
|
3142 |
+
{
|
3143 |
+
"epoch": 0.40596199795198545,
|
3144 |
+
"grad_norm": 0.5993850231170654,
|
3145 |
+
"learning_rate": 0.0001307919329865985,
|
3146 |
+
"loss": 2.4551,
|
3147 |
+
"step": 446
|
3148 |
+
},
|
3149 |
+
{
|
3150 |
+
"epoch": 0.40687222664694506,
|
3151 |
+
"grad_norm": 0.6662326455116272,
|
3152 |
+
"learning_rate": 0.00013051733779719234,
|
3153 |
+
"loss": 2.5501,
|
3154 |
+
"step": 447
|
3155 |
+
},
|
3156 |
+
{
|
3157 |
+
"epoch": 0.40778245534190466,
|
3158 |
+
"grad_norm": 0.7213377356529236,
|
3159 |
+
"learning_rate": 0.00013024248863316012,
|
3160 |
+
"loss": 2.5791,
|
3161 |
+
"step": 448
|
3162 |
+
},
|
3163 |
+
{
|
3164 |
+
"epoch": 0.40869268403686426,
|
3165 |
+
"grad_norm": 0.8552189469337463,
|
3166 |
+
"learning_rate": 0.00012996738778188067,
|
3167 |
+
"loss": 2.5783,
|
3168 |
+
"step": 449
|
3169 |
+
},
|
3170 |
+
{
|
3171 |
+
"epoch": 0.40960291273182386,
|
3172 |
+
"grad_norm": 1.2669048309326172,
|
3173 |
+
"learning_rate": 0.0001296920375328275,
|
3174 |
+
"loss": 2.2038,
|
3175 |
+
"step": 450
|
3176 |
+
},
|
3177 |
+
{
|
3178 |
+
"epoch": 0.41051314142678347,
|
3179 |
+
"grad_norm": 0.4974716901779175,
|
3180 |
+
"learning_rate": 0.00012941644017754964,
|
3181 |
+
"loss": 2.4347,
|
3182 |
+
"step": 451
|
3183 |
+
},
|
3184 |
+
{
|
3185 |
+
"epoch": 0.41142337012174307,
|
3186 |
+
"grad_norm": 0.44350573420524597,
|
3187 |
+
"learning_rate": 0.00012914059800965268,
|
3188 |
+
"loss": 2.5506,
|
3189 |
+
"step": 452
|
3190 |
+
},
|
3191 |
+
{
|
3192 |
+
"epoch": 0.4123335988167027,
|
3193 |
+
"grad_norm": 0.43674564361572266,
|
3194 |
+
"learning_rate": 0.0001288645133247795,
|
3195 |
+
"loss": 2.4322,
|
3196 |
+
"step": 453
|
3197 |
+
},
|
3198 |
+
{
|
3199 |
+
"epoch": 0.41324382751166233,
|
3200 |
+
"grad_norm": 0.46389102935791016,
|
3201 |
+
"learning_rate": 0.00012858818842059145,
|
3202 |
+
"loss": 2.4429,
|
3203 |
+
"step": 454
|
3204 |
+
},
|
3205 |
+
{
|
3206 |
+
"epoch": 0.41415405620662193,
|
3207 |
+
"grad_norm": 0.4361862540245056,
|
3208 |
+
"learning_rate": 0.00012831162559674887,
|
3209 |
+
"loss": 2.4228,
|
3210 |
+
"step": 455
|
3211 |
+
},
|
3212 |
+
{
|
3213 |
+
"epoch": 0.41506428490158154,
|
3214 |
+
"grad_norm": 0.4095577001571655,
|
3215 |
+
"learning_rate": 0.0001280348271548923,
|
3216 |
+
"loss": 2.3177,
|
3217 |
+
"step": 456
|
3218 |
+
},
|
3219 |
+
{
|
3220 |
+
"epoch": 0.41597451359654114,
|
3221 |
+
"grad_norm": 0.41431957483291626,
|
3222 |
+
"learning_rate": 0.00012775779539862304,
|
3223 |
+
"loss": 2.592,
|
3224 |
+
"step": 457
|
3225 |
+
},
|
3226 |
+
{
|
3227 |
+
"epoch": 0.41688474229150074,
|
3228 |
+
"grad_norm": 0.4042568802833557,
|
3229 |
+
"learning_rate": 0.0001274805326334842,
|
3230 |
+
"loss": 2.3442,
|
3231 |
+
"step": 458
|
3232 |
+
},
|
3233 |
+
{
|
3234 |
+
"epoch": 0.41779497098646035,
|
3235 |
+
"grad_norm": 0.4499073922634125,
|
3236 |
+
"learning_rate": 0.00012720304116694138,
|
3237 |
+
"loss": 2.4013,
|
3238 |
+
"step": 459
|
3239 |
+
},
|
3240 |
+
{
|
3241 |
+
"epoch": 0.41870519968141995,
|
3242 |
+
"grad_norm": 0.41216856241226196,
|
3243 |
+
"learning_rate": 0.00012692532330836346,
|
3244 |
+
"loss": 2.3945,
|
3245 |
+
"step": 460
|
3246 |
+
},
|
3247 |
+
{
|
3248 |
+
"epoch": 0.41961542837637955,
|
3249 |
+
"grad_norm": 0.423570841550827,
|
3250 |
+
"learning_rate": 0.00012664738136900348,
|
3251 |
+
"loss": 2.3147,
|
3252 |
+
"step": 461
|
3253 |
+
},
|
3254 |
+
{
|
3255 |
+
"epoch": 0.42052565707133915,
|
3256 |
+
"grad_norm": 0.40256237983703613,
|
3257 |
+
"learning_rate": 0.00012636921766197943,
|
3258 |
+
"loss": 2.3273,
|
3259 |
+
"step": 462
|
3260 |
+
},
|
3261 |
+
{
|
3262 |
+
"epoch": 0.42143588576629876,
|
3263 |
+
"grad_norm": 0.39139389991760254,
|
3264 |
+
"learning_rate": 0.0001260908345022547,
|
3265 |
+
"loss": 2.1793,
|
3266 |
+
"step": 463
|
3267 |
+
},
|
3268 |
+
{
|
3269 |
+
"epoch": 0.4223461144612584,
|
3270 |
+
"grad_norm": 0.4252980351448059,
|
3271 |
+
"learning_rate": 0.00012581223420661913,
|
3272 |
+
"loss": 2.4073,
|
3273 |
+
"step": 464
|
3274 |
+
},
|
3275 |
+
{
|
3276 |
+
"epoch": 0.423256343156218,
|
3277 |
+
"grad_norm": 0.40091437101364136,
|
3278 |
+
"learning_rate": 0.00012553341909366978,
|
3279 |
+
"loss": 2.0757,
|
3280 |
+
"step": 465
|
3281 |
+
},
|
3282 |
+
{
|
3283 |
+
"epoch": 0.4241665718511776,
|
3284 |
+
"grad_norm": 0.3780224323272705,
|
3285 |
+
"learning_rate": 0.00012525439148379128,
|
3286 |
+
"loss": 2.1467,
|
3287 |
+
"step": 466
|
3288 |
+
},
|
3289 |
+
{
|
3290 |
+
"epoch": 0.4250768005461372,
|
3291 |
+
"grad_norm": 0.3823038637638092,
|
3292 |
+
"learning_rate": 0.00012497515369913685,
|
3293 |
+
"loss": 2.0455,
|
3294 |
+
"step": 467
|
3295 |
+
},
|
3296 |
+
{
|
3297 |
+
"epoch": 0.4259870292410968,
|
3298 |
+
"grad_norm": 0.3887813091278076,
|
3299 |
+
"learning_rate": 0.00012469570806360875,
|
3300 |
+
"loss": 2.1608,
|
3301 |
+
"step": 468
|
3302 |
+
},
|
3303 |
+
{
|
3304 |
+
"epoch": 0.42689725793605643,
|
3305 |
+
"grad_norm": 0.3840020000934601,
|
3306 |
+
"learning_rate": 0.00012441605690283915,
|
3307 |
+
"loss": 2.0606,
|
3308 |
+
"step": 469
|
3309 |
+
},
|
3310 |
+
{
|
3311 |
+
"epoch": 0.42780748663101603,
|
3312 |
+
"grad_norm": 0.402353972196579,
|
3313 |
+
"learning_rate": 0.00012413620254417057,
|
3314 |
+
"loss": 2.1491,
|
3315 |
+
"step": 470
|
3316 |
+
},
|
3317 |
+
{
|
3318 |
+
"epoch": 0.42871771532597563,
|
3319 |
+
"grad_norm": 0.3938208818435669,
|
3320 |
+
"learning_rate": 0.00012385614731663666,
|
3321 |
+
"loss": 2.1968,
|
3322 |
+
"step": 471
|
3323 |
+
},
|
3324 |
+
{
|
3325 |
+
"epoch": 0.42962794402093524,
|
3326 |
+
"grad_norm": 0.42270010709762573,
|
3327 |
+
"learning_rate": 0.00012357589355094275,
|
3328 |
+
"loss": 2.0428,
|
3329 |
+
"step": 472
|
3330 |
+
},
|
3331 |
+
{
|
3332 |
+
"epoch": 0.4305381727158949,
|
3333 |
+
"grad_norm": 0.44319435954093933,
|
3334 |
+
"learning_rate": 0.0001232954435794464,
|
3335 |
+
"loss": 2.3332,
|
3336 |
+
"step": 473
|
3337 |
+
},
|
3338 |
+
{
|
3339 |
+
"epoch": 0.4314484014108545,
|
3340 |
+
"grad_norm": 0.39667901396751404,
|
3341 |
+
"learning_rate": 0.00012301479973613822,
|
3342 |
+
"loss": 2.1076,
|
3343 |
+
"step": 474
|
3344 |
+
},
|
3345 |
+
{
|
3346 |
+
"epoch": 0.4323586301058141,
|
3347 |
+
"grad_norm": 0.4128730595111847,
|
3348 |
+
"learning_rate": 0.00012273396435662212,
|
3349 |
+
"loss": 2.0687,
|
3350 |
+
"step": 475
|
3351 |
+
},
|
3352 |
+
{
|
3353 |
+
"epoch": 0.4332688588007737,
|
3354 |
+
"grad_norm": 0.4556971788406372,
|
3355 |
+
"learning_rate": 0.00012245293977809605,
|
3356 |
+
"loss": 2.1699,
|
3357 |
+
"step": 476
|
3358 |
+
},
|
3359 |
+
{
|
3360 |
+
"epoch": 0.4341790874957333,
|
3361 |
+
"grad_norm": 0.43817293643951416,
|
3362 |
+
"learning_rate": 0.0001221717283393326,
|
3363 |
+
"loss": 2.2619,
|
3364 |
+
"step": 477
|
3365 |
+
},
|
3366 |
+
{
|
3367 |
+
"epoch": 0.4350893161906929,
|
3368 |
+
"grad_norm": 0.4148106873035431,
|
3369 |
+
"learning_rate": 0.0001218903323806595,
|
3370 |
+
"loss": 2.0805,
|
3371 |
+
"step": 478
|
3372 |
+
},
|
3373 |
+
{
|
3374 |
+
"epoch": 0.4359995448856525,
|
3375 |
+
"grad_norm": 0.428019255399704,
|
3376 |
+
"learning_rate": 0.00012160875424393996,
|
3377 |
+
"loss": 2.1673,
|
3378 |
+
"step": 479
|
3379 |
+
},
|
3380 |
+
{
|
3381 |
+
"epoch": 0.4369097735806121,
|
3382 |
+
"grad_norm": 0.44368696212768555,
|
3383 |
+
"learning_rate": 0.00012132699627255347,
|
3384 |
+
"loss": 2.1894,
|
3385 |
+
"step": 480
|
3386 |
+
},
|
3387 |
+
{
|
3388 |
+
"epoch": 0.4378200022755717,
|
3389 |
+
"grad_norm": 0.44192251563072205,
|
3390 |
+
"learning_rate": 0.00012104506081137608,
|
3391 |
+
"loss": 2.131,
|
3392 |
+
"step": 481
|
3393 |
+
},
|
3394 |
+
{
|
3395 |
+
"epoch": 0.4387302309705313,
|
3396 |
+
"grad_norm": 0.45728325843811035,
|
3397 |
+
"learning_rate": 0.00012076295020676103,
|
3398 |
+
"loss": 2.1606,
|
3399 |
+
"step": 482
|
3400 |
+
},
|
3401 |
+
{
|
3402 |
+
"epoch": 0.439640459665491,
|
3403 |
+
"grad_norm": 0.45007196068763733,
|
3404 |
+
"learning_rate": 0.00012048066680651908,
|
3405 |
+
"loss": 2.1161,
|
3406 |
+
"step": 483
|
3407 |
+
},
|
3408 |
+
{
|
3409 |
+
"epoch": 0.4405506883604506,
|
3410 |
+
"grad_norm": 0.46728429198265076,
|
3411 |
+
"learning_rate": 0.00012019821295989912,
|
3412 |
+
"loss": 2.2119,
|
3413 |
+
"step": 484
|
3414 |
+
},
|
3415 |
+
{
|
3416 |
+
"epoch": 0.4414609170554102,
|
3417 |
+
"grad_norm": 0.44168952107429504,
|
3418 |
+
"learning_rate": 0.00011991559101756852,
|
3419 |
+
"loss": 2.1377,
|
3420 |
+
"step": 485
|
3421 |
+
},
|
3422 |
+
{
|
3423 |
+
"epoch": 0.4423711457503698,
|
3424 |
+
"grad_norm": 0.43559008836746216,
|
3425 |
+
"learning_rate": 0.00011963280333159358,
|
3426 |
+
"loss": 2.054,
|
3427 |
+
"step": 486
|
3428 |
+
},
|
3429 |
+
{
|
3430 |
+
"epoch": 0.4432813744453294,
|
3431 |
+
"grad_norm": 0.45376813411712646,
|
3432 |
+
"learning_rate": 0.00011934985225541998,
|
3433 |
+
"loss": 2.1481,
|
3434 |
+
"step": 487
|
3435 |
+
},
|
3436 |
+
{
|
3437 |
+
"epoch": 0.444191603140289,
|
3438 |
+
"grad_norm": 0.49441829323768616,
|
3439 |
+
"learning_rate": 0.00011906674014385318,
|
3440 |
+
"loss": 2.0623,
|
3441 |
+
"step": 488
|
3442 |
+
},
|
3443 |
+
{
|
3444 |
+
"epoch": 0.4451018318352486,
|
3445 |
+
"grad_norm": 0.4792848229408264,
|
3446 |
+
"learning_rate": 0.00011878346935303883,
|
3447 |
+
"loss": 2.2903,
|
3448 |
+
"step": 489
|
3449 |
+
},
|
3450 |
+
{
|
3451 |
+
"epoch": 0.4460120605302082,
|
3452 |
+
"grad_norm": 0.4943479597568512,
|
3453 |
+
"learning_rate": 0.00011850004224044315,
|
3454 |
+
"loss": 2.3084,
|
3455 |
+
"step": 490
|
3456 |
+
},
|
3457 |
+
{
|
3458 |
+
"epoch": 0.4469222892251678,
|
3459 |
+
"grad_norm": 0.5104116797447205,
|
3460 |
+
"learning_rate": 0.00011821646116483335,
|
3461 |
+
"loss": 2.2815,
|
3462 |
+
"step": 491
|
3463 |
+
},
|
3464 |
+
{
|
3465 |
+
"epoch": 0.44783251792012746,
|
3466 |
+
"grad_norm": 0.4758678674697876,
|
3467 |
+
"learning_rate": 0.00011793272848625797,
|
3468 |
+
"loss": 2.0609,
|
3469 |
+
"step": 492
|
3470 |
+
},
|
3471 |
+
{
|
3472 |
+
"epoch": 0.44874274661508706,
|
3473 |
+
"grad_norm": 0.5053780674934387,
|
3474 |
+
"learning_rate": 0.0001176488465660271,
|
3475 |
+
"loss": 2.1577,
|
3476 |
+
"step": 493
|
3477 |
+
},
|
3478 |
+
{
|
3479 |
+
"epoch": 0.44965297531004667,
|
3480 |
+
"grad_norm": 0.5221775770187378,
|
3481 |
+
"learning_rate": 0.00011736481776669306,
|
3482 |
+
"loss": 2.2924,
|
3483 |
+
"step": 494
|
3484 |
+
},
|
3485 |
+
{
|
3486 |
+
"epoch": 0.45056320400500627,
|
3487 |
+
"grad_norm": 0.5941824913024902,
|
3488 |
+
"learning_rate": 0.00011708064445203042,
|
3489 |
+
"loss": 2.3528,
|
3490 |
+
"step": 495
|
3491 |
+
},
|
3492 |
+
{
|
3493 |
+
"epoch": 0.45147343269996587,
|
3494 |
+
"grad_norm": 0.5934675931930542,
|
3495 |
+
"learning_rate": 0.00011679632898701649,
|
3496 |
+
"loss": 2.4301,
|
3497 |
+
"step": 496
|
3498 |
+
},
|
3499 |
+
{
|
3500 |
+
"epoch": 0.4523836613949255,
|
3501 |
+
"grad_norm": 0.6429802179336548,
|
3502 |
+
"learning_rate": 0.0001165118737378116,
|
3503 |
+
"loss": 2.605,
|
3504 |
+
"step": 497
|
3505 |
+
},
|
3506 |
+
{
|
3507 |
+
"epoch": 0.4532938900898851,
|
3508 |
+
"grad_norm": 0.7099617719650269,
|
3509 |
+
"learning_rate": 0.00011622728107173946,
|
3510 |
+
"loss": 2.4261,
|
3511 |
+
"step": 498
|
3512 |
+
},
|
3513 |
+
{
|
3514 |
+
"epoch": 0.4542041187848447,
|
3515 |
+
"grad_norm": 0.8483153581619263,
|
3516 |
+
"learning_rate": 0.00011594255335726724,
|
3517 |
+
"loss": 2.5175,
|
3518 |
+
"step": 499
|
3519 |
+
},
|
3520 |
+
{
|
3521 |
+
"epoch": 0.4551143474798043,
|
3522 |
+
"grad_norm": 1.6742238998413086,
|
3523 |
+
"learning_rate": 0.00011565769296398618,
|
3524 |
+
"loss": 2.6628,
|
3525 |
+
"step": 500
|
3526 |
+
},
|
3527 |
+
{
|
3528 |
+
"epoch": 0.4560245761747639,
|
3529 |
+
"grad_norm": 0.4585944712162018,
|
3530 |
+
"learning_rate": 0.00011537270226259169,
|
3531 |
+
"loss": 2.5794,
|
3532 |
+
"step": 501
|
3533 |
+
},
|
3534 |
+
{
|
3535 |
+
"epoch": 0.45693480486972354,
|
3536 |
+
"grad_norm": 0.44302108883857727,
|
3537 |
+
"learning_rate": 0.00011508758362486358,
|
3538 |
+
"loss": 2.3893,
|
3539 |
+
"step": 502
|
3540 |
+
},
|
3541 |
+
{
|
3542 |
+
"epoch": 0.45784503356468315,
|
3543 |
+
"grad_norm": 0.44478365778923035,
|
3544 |
+
"learning_rate": 0.00011480233942364645,
|
3545 |
+
"loss": 2.3204,
|
3546 |
+
"step": 503
|
3547 |
+
},
|
3548 |
+
{
|
3549 |
+
"epoch": 0.45875526225964275,
|
3550 |
+
"grad_norm": 0.432339608669281,
|
3551 |
+
"learning_rate": 0.00011451697203282982,
|
3552 |
+
"loss": 2.3721,
|
3553 |
+
"step": 504
|
3554 |
+
},
|
3555 |
+
{
|
3556 |
+
"epoch": 0.45966549095460235,
|
3557 |
+
"grad_norm": 0.4154585301876068,
|
3558 |
+
"learning_rate": 0.00011423148382732853,
|
3559 |
+
"loss": 2.4017,
|
3560 |
+
"step": 505
|
3561 |
+
},
|
3562 |
+
{
|
3563 |
+
"epoch": 0.46057571964956195,
|
3564 |
+
"grad_norm": 0.4535946846008301,
|
3565 |
+
"learning_rate": 0.00011394587718306275,
|
3566 |
+
"loss": 2.5771,
|
3567 |
+
"step": 506
|
3568 |
+
},
|
3569 |
+
{
|
3570 |
+
"epoch": 0.46148594834452156,
|
3571 |
+
"grad_norm": 0.4111529588699341,
|
3572 |
+
"learning_rate": 0.00011366015447693837,
|
3573 |
+
"loss": 2.2596,
|
3574 |
+
"step": 507
|
3575 |
+
},
|
3576 |
+
{
|
3577 |
+
"epoch": 0.46239617703948116,
|
3578 |
+
"grad_norm": 0.431909441947937,
|
3579 |
+
"learning_rate": 0.0001133743180868273,
|
3580 |
+
"loss": 2.3504,
|
3581 |
+
"step": 508
|
3582 |
+
},
|
3583 |
+
{
|
3584 |
+
"epoch": 0.46330640573444076,
|
3585 |
+
"grad_norm": 0.4069095849990845,
|
3586 |
+
"learning_rate": 0.00011308837039154739,
|
3587 |
+
"loss": 2.2642,
|
3588 |
+
"step": 509
|
3589 |
+
},
|
3590 |
+
{
|
3591 |
+
"epoch": 0.46421663442940037,
|
3592 |
+
"grad_norm": 0.4086742401123047,
|
3593 |
+
"learning_rate": 0.0001128023137708429,
|
3594 |
+
"loss": 2.2712,
|
3595 |
+
"step": 510
|
3596 |
+
},
|
3597 |
+
{
|
3598 |
+
"epoch": 0.46512686312435997,
|
3599 |
+
"grad_norm": 0.4243764579296112,
|
3600 |
+
"learning_rate": 0.0001125161506053646,
|
3601 |
+
"loss": 2.3859,
|
3602 |
+
"step": 511
|
3603 |
+
},
|
3604 |
+
{
|
3605 |
+
"epoch": 0.4660370918193196,
|
3606 |
+
"grad_norm": 0.39640411734580994,
|
3607 |
+
"learning_rate": 0.00011222988327664997,
|
3608 |
+
"loss": 2.1983,
|
3609 |
+
"step": 512
|
3610 |
+
},
|
3611 |
+
{
|
3612 |
+
"epoch": 0.46694732051427923,
|
3613 |
+
"grad_norm": 0.4024841785430908,
|
3614 |
+
"learning_rate": 0.00011194351416710324,
|
3615 |
+
"loss": 2.2473,
|
3616 |
+
"step": 513
|
3617 |
+
},
|
3618 |
+
{
|
3619 |
+
"epoch": 0.46785754920923883,
|
3620 |
+
"grad_norm": 0.3982551693916321,
|
3621 |
+
"learning_rate": 0.00011165704565997593,
|
3622 |
+
"loss": 2.1234,
|
3623 |
+
"step": 514
|
3624 |
+
},
|
3625 |
+
{
|
3626 |
+
"epoch": 0.46876777790419843,
|
3627 |
+
"grad_norm": 0.4064629375934601,
|
3628 |
+
"learning_rate": 0.00011137048013934656,
|
3629 |
+
"loss": 2.1587,
|
3630 |
+
"step": 515
|
3631 |
+
},
|
3632 |
+
{
|
3633 |
+
"epoch": 0.46967800659915804,
|
3634 |
+
"grad_norm": 0.3930409550666809,
|
3635 |
+
"learning_rate": 0.00011108381999010111,
|
3636 |
+
"loss": 2.2324,
|
3637 |
+
"step": 516
|
3638 |
+
},
|
3639 |
+
{
|
3640 |
+
"epoch": 0.47058823529411764,
|
3641 |
+
"grad_norm": 0.38076552748680115,
|
3642 |
+
"learning_rate": 0.00011079706759791311,
|
3643 |
+
"loss": 2.1943,
|
3644 |
+
"step": 517
|
3645 |
+
},
|
3646 |
+
{
|
3647 |
+
"epoch": 0.47149846398907724,
|
3648 |
+
"grad_norm": 0.38611575961112976,
|
3649 |
+
"learning_rate": 0.00011051022534922371,
|
3650 |
+
"loss": 2.1572,
|
3651 |
+
"step": 518
|
3652 |
+
},
|
3653 |
+
{
|
3654 |
+
"epoch": 0.47240869268403685,
|
3655 |
+
"grad_norm": 0.3925657868385315,
|
3656 |
+
"learning_rate": 0.00011022329563122191,
|
3657 |
+
"loss": 2.232,
|
3658 |
+
"step": 519
|
3659 |
+
},
|
3660 |
+
{
|
3661 |
+
"epoch": 0.47331892137899645,
|
3662 |
+
"grad_norm": 0.401633620262146,
|
3663 |
+
"learning_rate": 0.00010993628083182467,
|
3664 |
+
"loss": 2.1639,
|
3665 |
+
"step": 520
|
3666 |
+
},
|
3667 |
+
{
|
3668 |
+
"epoch": 0.4742291500739561,
|
3669 |
+
"grad_norm": 0.3987519443035126,
|
3670 |
+
"learning_rate": 0.000109649183339657,
|
3671 |
+
"loss": 2.1657,
|
3672 |
+
"step": 521
|
3673 |
+
},
|
3674 |
+
{
|
3675 |
+
"epoch": 0.4751393787689157,
|
3676 |
+
"grad_norm": 0.3978632986545563,
|
3677 |
+
"learning_rate": 0.00010936200554403209,
|
3678 |
+
"loss": 2.1929,
|
3679 |
+
"step": 522
|
3680 |
+
},
|
3681 |
+
{
|
3682 |
+
"epoch": 0.4760496074638753,
|
3683 |
+
"grad_norm": 0.40962356328964233,
|
3684 |
+
"learning_rate": 0.00010907474983493144,
|
3685 |
+
"loss": 2.167,
|
3686 |
+
"step": 523
|
3687 |
+
},
|
3688 |
+
{
|
3689 |
+
"epoch": 0.4769598361588349,
|
3690 |
+
"grad_norm": 0.41112762689590454,
|
3691 |
+
"learning_rate": 0.00010878741860298503,
|
3692 |
+
"loss": 2.178,
|
3693 |
+
"step": 524
|
3694 |
+
},
|
3695 |
+
{
|
3696 |
+
"epoch": 0.4778700648537945,
|
3697 |
+
"grad_norm": 0.4231667220592499,
|
3698 |
+
"learning_rate": 0.00010850001423945126,
|
3699 |
+
"loss": 1.995,
|
3700 |
+
"step": 525
|
3701 |
+
},
|
3702 |
+
{
|
3703 |
+
"epoch": 0.4787802935487541,
|
3704 |
+
"grad_norm": 0.42191213369369507,
|
3705 |
+
"learning_rate": 0.00010821253913619726,
|
3706 |
+
"loss": 2.1639,
|
3707 |
+
"step": 526
|
3708 |
+
},
|
3709 |
+
{
|
3710 |
+
"epoch": 0.4796905222437137,
|
3711 |
+
"grad_norm": 0.41400229930877686,
|
3712 |
+
"learning_rate": 0.00010792499568567884,
|
3713 |
+
"loss": 2.129,
|
3714 |
+
"step": 527
|
3715 |
+
},
|
3716 |
+
{
|
3717 |
+
"epoch": 0.4806007509386733,
|
3718 |
+
"grad_norm": 0.4085232615470886,
|
3719 |
+
"learning_rate": 0.00010763738628092062,
|
3720 |
+
"loss": 2.0848,
|
3721 |
+
"step": 528
|
3722 |
+
},
|
3723 |
+
{
|
3724 |
+
"epoch": 0.48151097963363293,
|
3725 |
+
"grad_norm": 0.4125650227069855,
|
3726 |
+
"learning_rate": 0.00010734971331549603,
|
3727 |
+
"loss": 1.9966,
|
3728 |
+
"step": 529
|
3729 |
+
},
|
3730 |
+
{
|
3731 |
+
"epoch": 0.48242120832859253,
|
3732 |
+
"grad_norm": 0.42445600032806396,
|
3733 |
+
"learning_rate": 0.00010706197918350758,
|
3734 |
+
"loss": 1.9826,
|
3735 |
+
"step": 530
|
3736 |
+
},
|
3737 |
+
{
|
3738 |
+
"epoch": 0.4833314370235522,
|
3739 |
+
"grad_norm": 0.45885640382766724,
|
3740 |
+
"learning_rate": 0.0001067741862795668,
|
3741 |
+
"loss": 2.1072,
|
3742 |
+
"step": 531
|
3743 |
+
},
|
3744 |
+
{
|
3745 |
+
"epoch": 0.4842416657185118,
|
3746 |
+
"grad_norm": 0.45989179611206055,
|
3747 |
+
"learning_rate": 0.0001064863369987743,
|
3748 |
+
"loss": 2.4108,
|
3749 |
+
"step": 532
|
3750 |
+
},
|
3751 |
+
{
|
3752 |
+
"epoch": 0.4851518944134714,
|
3753 |
+
"grad_norm": 0.4582422375679016,
|
3754 |
+
"learning_rate": 0.00010619843373669993,
|
3755 |
+
"loss": 2.1733,
|
3756 |
+
"step": 533
|
3757 |
+
},
|
3758 |
+
{
|
3759 |
+
"epoch": 0.486062123108431,
|
3760 |
+
"grad_norm": 0.4393966495990753,
|
3761 |
+
"learning_rate": 0.00010591047888936274,
|
3762 |
+
"loss": 2.1335,
|
3763 |
+
"step": 534
|
3764 |
+
},
|
3765 |
+
{
|
3766 |
+
"epoch": 0.4869723518033906,
|
3767 |
+
"grad_norm": 0.4389214813709259,
|
3768 |
+
"learning_rate": 0.00010562247485321115,
|
3769 |
+
"loss": 2.0692,
|
3770 |
+
"step": 535
|
3771 |
+
},
|
3772 |
+
{
|
3773 |
+
"epoch": 0.4878825804983502,
|
3774 |
+
"grad_norm": 0.4686262905597687,
|
3775 |
+
"learning_rate": 0.00010533442402510284,
|
3776 |
+
"loss": 2.226,
|
3777 |
+
"step": 536
|
3778 |
+
},
|
3779 |
+
{
|
3780 |
+
"epoch": 0.4887928091933098,
|
3781 |
+
"grad_norm": 0.47556954622268677,
|
3782 |
+
"learning_rate": 0.00010504632880228498,
|
3783 |
+
"loss": 2.2484,
|
3784 |
+
"step": 537
|
3785 |
+
},
|
3786 |
+
{
|
3787 |
+
"epoch": 0.4897030378882694,
|
3788 |
+
"grad_norm": 0.46617594361305237,
|
3789 |
+
"learning_rate": 0.00010475819158237425,
|
3790 |
+
"loss": 2.2602,
|
3791 |
+
"step": 538
|
3792 |
+
},
|
3793 |
+
{
|
3794 |
+
"epoch": 0.490613266583229,
|
3795 |
+
"grad_norm": 0.47310179471969604,
|
3796 |
+
"learning_rate": 0.00010447001476333673,
|
3797 |
+
"loss": 2.089,
|
3798 |
+
"step": 539
|
3799 |
+
},
|
3800 |
+
{
|
3801 |
+
"epoch": 0.49152349527818867,
|
3802 |
+
"grad_norm": 0.507408618927002,
|
3803 |
+
"learning_rate": 0.00010418180074346815,
|
3804 |
+
"loss": 2.2762,
|
3805 |
+
"step": 540
|
3806 |
+
},
|
3807 |
+
{
|
3808 |
+
"epoch": 0.4924337239731483,
|
3809 |
+
"grad_norm": 0.501750111579895,
|
3810 |
+
"learning_rate": 0.00010389355192137377,
|
3811 |
+
"loss": 2.1129,
|
3812 |
+
"step": 541
|
3813 |
+
},
|
3814 |
+
{
|
3815 |
+
"epoch": 0.4933439526681079,
|
3816 |
+
"grad_norm": 0.5230852365493774,
|
3817 |
+
"learning_rate": 0.00010360527069594859,
|
3818 |
+
"loss": 2.4063,
|
3819 |
+
"step": 542
|
3820 |
+
},
|
3821 |
+
{
|
3822 |
+
"epoch": 0.4942541813630675,
|
3823 |
+
"grad_norm": 0.499337762594223,
|
3824 |
+
"learning_rate": 0.00010331695946635708,
|
3825 |
+
"loss": 2.1379,
|
3826 |
+
"step": 543
|
3827 |
+
},
|
3828 |
+
{
|
3829 |
+
"epoch": 0.4951644100580271,
|
3830 |
+
"grad_norm": 0.5291334390640259,
|
3831 |
+
"learning_rate": 0.00010302862063201367,
|
3832 |
+
"loss": 2.2284,
|
3833 |
+
"step": 544
|
3834 |
+
},
|
3835 |
+
{
|
3836 |
+
"epoch": 0.4960746387529867,
|
3837 |
+
"grad_norm": 0.5520262718200684,
|
3838 |
+
"learning_rate": 0.00010274025659256232,
|
3839 |
+
"loss": 2.2331,
|
3840 |
+
"step": 545
|
3841 |
+
},
|
3842 |
+
{
|
3843 |
+
"epoch": 0.4969848674479463,
|
3844 |
+
"grad_norm": 0.5880653262138367,
|
3845 |
+
"learning_rate": 0.00010245186974785685,
|
3846 |
+
"loss": 2.369,
|
3847 |
+
"step": 546
|
3848 |
+
},
|
3849 |
+
{
|
3850 |
+
"epoch": 0.4978950961429059,
|
3851 |
+
"grad_norm": 0.5887028574943542,
|
3852 |
+
"learning_rate": 0.00010216346249794087,
|
3853 |
+
"loss": 2.3323,
|
3854 |
+
"step": 547
|
3855 |
+
},
|
3856 |
+
{
|
3857 |
+
"epoch": 0.4988053248378655,
|
3858 |
+
"grad_norm": 0.664823055267334,
|
3859 |
+
"learning_rate": 0.00010187503724302776,
|
3860 |
+
"loss": 2.4451,
|
3861 |
+
"step": 548
|
3862 |
+
},
|
3863 |
+
{
|
3864 |
+
"epoch": 0.4997155535328251,
|
3865 |
+
"grad_norm": 0.8141515254974365,
|
3866 |
+
"learning_rate": 0.00010158659638348081,
|
3867 |
+
"loss": 2.4308,
|
3868 |
+
"step": 549
|
3869 |
+
},
|
3870 |
+
{
|
3871 |
+
"epoch": 0.5006257822277848,
|
3872 |
+
"grad_norm": 1.4680793285369873,
|
3873 |
+
"learning_rate": 0.0001012981423197931,
|
3874 |
+
"loss": 2.6184,
|
3875 |
+
"step": 550
|
3876 |
+
},
|
3877 |
+
{
|
3878 |
+
"epoch": 0.5006257822277848,
|
3879 |
+
"eval_loss": 2.2486555576324463,
|
3880 |
+
"eval_runtime": 203.9397,
|
3881 |
+
"eval_samples_per_second": 9.076,
|
3882 |
+
"eval_steps_per_second": 4.541,
|
3883 |
+
"step": 550
|
3884 |
}
|
3885 |
],
|
3886 |
"logging_steps": 1,
|
|
|
3900 |
"attributes": {}
|
3901 |
}
|
3902 |
},
|
3903 |
+
"total_flos": 1.0074178982447677e+18,
|
3904 |
"train_batch_size": 2,
|
3905 |
"trial_name": null,
|
3906 |
"trial_params": null
|