Training in progress, step 200, checkpoint
Browse files- last-checkpoint/optimizer_0/.metadata +0 -0
- last-checkpoint/optimizer_0/__0_0.distcp +1 -1
- last-checkpoint/optimizer_0/__1_0.distcp +1 -1
- last-checkpoint/optimizer_0/__2_0.distcp +1 -1
- last-checkpoint/optimizer_0/__3_0.distcp +1 -1
- last-checkpoint/pytorch_model_fsdp_0/.metadata +0 -0
- last-checkpoint/pytorch_model_fsdp_0/__0_0.distcp +1 -1
- last-checkpoint/pytorch_model_fsdp_0/__1_0.distcp +1 -1
- last-checkpoint/pytorch_model_fsdp_0/__2_0.distcp +1 -1
- last-checkpoint/pytorch_model_fsdp_0/__3_0.distcp +1 -1
- last-checkpoint/rng_state_0.pth +1 -1
- last-checkpoint/scheduler.pt +1 -1
- last-checkpoint/trainer_state.json +763 -3
last-checkpoint/optimizer_0/.metadata
CHANGED
|
Binary files a/last-checkpoint/optimizer_0/.metadata and b/last-checkpoint/optimizer_0/.metadata differ
|
|
|
last-checkpoint/optimizer_0/__0_0.distcp
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 13934748
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3843927cedc4d683f3269d495867dcd7b2405c910617a503028f960732f07e6c
|
| 3 |
size 13934748
|
last-checkpoint/optimizer_0/__1_0.distcp
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 13999412
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:47fd5ac1aedf65d1e43923149a90aa599911c73d408d5994466b0ae9f9c88c76
|
| 3 |
size 13999412
|
last-checkpoint/optimizer_0/__2_0.distcp
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 13990904
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:df9266203b37a0254a86248c42410caf65ae1b76706802247a77e92c1d88e294
|
| 3 |
size 13990904
|
last-checkpoint/optimizer_0/__3_0.distcp
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 13990904
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:564a75b416e4e48eb1f76e79505f22d2d45bf4fc8b254f4c8ce9b3ce5890dc81
|
| 3 |
size 13990904
|
last-checkpoint/pytorch_model_fsdp_0/.metadata
CHANGED
|
Binary files a/last-checkpoint/pytorch_model_fsdp_0/.metadata and b/last-checkpoint/pytorch_model_fsdp_0/.metadata differ
|
|
|
last-checkpoint/pytorch_model_fsdp_0/__0_0.distcp
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 6966784
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fd41c478f550639121d913c62a920bd1cb03accab9182666486c78e6e8a330ba
|
| 3 |
size 6966784
|
last-checkpoint/pytorch_model_fsdp_0/__1_0.distcp
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 6966784
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6e2ea2567791532b38b5fab7ba9b89492d30645a423a9f0f1bc21e98535902c9
|
| 3 |
size 6966784
|
last-checkpoint/pytorch_model_fsdp_0/__2_0.distcp
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 6966784
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d6cd518b6b383ab04cec632660a3cece5e59683a59a2ffb32a3f0ca2075f162e
|
| 3 |
size 6966784
|
last-checkpoint/pytorch_model_fsdp_0/__3_0.distcp
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 6966784
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:655a2930a3b9fe448e6f767f8b25b9ebdd3f906d256322c915a95c99f18bba8f
|
| 3 |
size 6966784
|
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 14960
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ab8cdd08f60cbd3036bbd610c5a42dde3ec47637b7e45c85683a417a9d360a6f
|
| 3 |
size 14960
|
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 sha256:59a8af46ddb45218bc7cbc9b3f81796f6f16e1bc3531c4213c3b740a3fa6722a
|
| 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": 20,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -779,6 +779,766 @@
|
|
| 779 |
"eval_samples_per_second": 6.454,
|
| 780 |
"eval_steps_per_second": 0.202,
|
| 781 |
"step": 100
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 782 |
}
|
| 783 |
],
|
| 784 |
"logging_steps": 1,
|
|
@@ -798,7 +1558,7 @@
|
|
| 798 |
"attributes": {}
|
| 799 |
}
|
| 800 |
},
|
| 801 |
-
"total_flos":
|
| 802 |
"train_batch_size": 8,
|
| 803 |
"trial_name": null,
|
| 804 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.5319148936170213,
|
| 5 |
"eval_steps": 20,
|
| 6 |
+
"global_step": 200,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 779 |
"eval_samples_per_second": 6.454,
|
| 780 |
"eval_steps_per_second": 0.202,
|
| 781 |
"step": 100
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"epoch": 0.26861702127659576,
|
| 785 |
+
"grad_norm": 2.1255381107330322,
|
| 786 |
+
"learning_rate": 1.833400994922806e-05,
|
| 787 |
+
"loss": 0.2532,
|
| 788 |
+
"step": 101
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 0.2712765957446808,
|
| 792 |
+
"grad_norm": 2.4879391193389893,
|
| 793 |
+
"learning_rate": 1.8282282057045087e-05,
|
| 794 |
+
"loss": 0.3593,
|
| 795 |
+
"step": 102
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 0.27393617021276595,
|
| 799 |
+
"grad_norm": 2.0561375617980957,
|
| 800 |
+
"learning_rate": 1.8229838658936566e-05,
|
| 801 |
+
"loss": 0.266,
|
| 802 |
+
"step": 103
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"epoch": 0.2765957446808511,
|
| 806 |
+
"grad_norm": 2.101980447769165,
|
| 807 |
+
"learning_rate": 1.8176684285484985e-05,
|
| 808 |
+
"loss": 0.3686,
|
| 809 |
+
"step": 104
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 0.27925531914893614,
|
| 813 |
+
"grad_norm": 2.0041894912719727,
|
| 814 |
+
"learning_rate": 1.8122823528693966e-05,
|
| 815 |
+
"loss": 0.2551,
|
| 816 |
+
"step": 105
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 0.28191489361702127,
|
| 820 |
+
"grad_norm": 1.981961727142334,
|
| 821 |
+
"learning_rate": 1.8068261041591548e-05,
|
| 822 |
+
"loss": 0.2932,
|
| 823 |
+
"step": 106
|
| 824 |
+
},
|
| 825 |
+
{
|
| 826 |
+
"epoch": 0.2845744680851064,
|
| 827 |
+
"grad_norm": 2.636021614074707,
|
| 828 |
+
"learning_rate": 1.8013001537828213e-05,
|
| 829 |
+
"loss": 0.2584,
|
| 830 |
+
"step": 107
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 0.2872340425531915,
|
| 834 |
+
"grad_norm": 2.6354217529296875,
|
| 835 |
+
"learning_rate": 1.7957049791269684e-05,
|
| 836 |
+
"loss": 0.3208,
|
| 837 |
+
"step": 108
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 0.2898936170212766,
|
| 841 |
+
"grad_norm": 3.6334121227264404,
|
| 842 |
+
"learning_rate": 1.79004106355845e-05,
|
| 843 |
+
"loss": 0.3142,
|
| 844 |
+
"step": 109
|
| 845 |
+
},
|
| 846 |
+
{
|
| 847 |
+
"epoch": 0.2925531914893617,
|
| 848 |
+
"grad_norm": 2.6944894790649414,
|
| 849 |
+
"learning_rate": 1.7843088963826437e-05,
|
| 850 |
+
"loss": 0.2854,
|
| 851 |
+
"step": 110
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"epoch": 0.29521276595744683,
|
| 855 |
+
"grad_norm": 4.576889514923096,
|
| 856 |
+
"learning_rate": 1.7785089728011798e-05,
|
| 857 |
+
"loss": 0.2685,
|
| 858 |
+
"step": 111
|
| 859 |
+
},
|
| 860 |
+
{
|
| 861 |
+
"epoch": 0.2978723404255319,
|
| 862 |
+
"grad_norm": 2.23494029045105,
|
| 863 |
+
"learning_rate": 1.772641793869162e-05,
|
| 864 |
+
"loss": 0.2604,
|
| 865 |
+
"step": 112
|
| 866 |
+
},
|
| 867 |
+
{
|
| 868 |
+
"epoch": 0.300531914893617,
|
| 869 |
+
"grad_norm": 3.0733425617218018,
|
| 870 |
+
"learning_rate": 1.7667078664518796e-05,
|
| 871 |
+
"loss": 0.2542,
|
| 872 |
+
"step": 113
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 0.30319148936170215,
|
| 876 |
+
"grad_norm": 1.9046289920806885,
|
| 877 |
+
"learning_rate": 1.7607077031810204e-05,
|
| 878 |
+
"loss": 0.2879,
|
| 879 |
+
"step": 114
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 0.3058510638297872,
|
| 883 |
+
"grad_norm": 2.2374041080474854,
|
| 884 |
+
"learning_rate": 1.7546418224103838e-05,
|
| 885 |
+
"loss": 0.2998,
|
| 886 |
+
"step": 115
|
| 887 |
+
},
|
| 888 |
+
{
|
| 889 |
+
"epoch": 0.30851063829787234,
|
| 890 |
+
"grad_norm": 5.9824395179748535,
|
| 891 |
+
"learning_rate": 1.7485107481711014e-05,
|
| 892 |
+
"loss": 0.3637,
|
| 893 |
+
"step": 116
|
| 894 |
+
},
|
| 895 |
+
{
|
| 896 |
+
"epoch": 0.31117021276595747,
|
| 897 |
+
"grad_norm": 3.0998919010162354,
|
| 898 |
+
"learning_rate": 1.7423150101263645e-05,
|
| 899 |
+
"loss": 0.2746,
|
| 900 |
+
"step": 117
|
| 901 |
+
},
|
| 902 |
+
{
|
| 903 |
+
"epoch": 0.31382978723404253,
|
| 904 |
+
"grad_norm": 2.05523419380188,
|
| 905 |
+
"learning_rate": 1.7360551435256673e-05,
|
| 906 |
+
"loss": 0.2776,
|
| 907 |
+
"step": 118
|
| 908 |
+
},
|
| 909 |
+
{
|
| 910 |
+
"epoch": 0.31648936170212766,
|
| 911 |
+
"grad_norm": 2.1908273696899414,
|
| 912 |
+
"learning_rate": 1.729731689158568e-05,
|
| 913 |
+
"loss": 0.3184,
|
| 914 |
+
"step": 119
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 0.3191489361702128,
|
| 918 |
+
"grad_norm": 2.3177342414855957,
|
| 919 |
+
"learning_rate": 1.7233451933079663e-05,
|
| 920 |
+
"loss": 0.2413,
|
| 921 |
+
"step": 120
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 0.3191489361702128,
|
| 925 |
+
"eval_accuracy": 0.8141176470588235,
|
| 926 |
+
"eval_f1": 0.48026315789473684,
|
| 927 |
+
"eval_loss": 0.43155437707901,
|
| 928 |
+
"eval_precision": 0.7087378640776699,
|
| 929 |
+
"eval_recall": 0.36318407960199006,
|
| 930 |
+
"eval_runtime": 34.0012,
|
| 931 |
+
"eval_samples_per_second": 6.588,
|
| 932 |
+
"eval_steps_per_second": 0.206,
|
| 933 |
+
"step": 120
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.32180851063829785,
|
| 937 |
+
"grad_norm": 2.1571784019470215,
|
| 938 |
+
"learning_rate": 1.7168962077029146e-05,
|
| 939 |
+
"loss": 0.3229,
|
| 940 |
+
"step": 121
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.324468085106383,
|
| 944 |
+
"grad_norm": 3.056910991668701,
|
| 945 |
+
"learning_rate": 1.7103852894709517e-05,
|
| 946 |
+
"loss": 0.3116,
|
| 947 |
+
"step": 122
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.3271276595744681,
|
| 951 |
+
"grad_norm": 1.9665093421936035,
|
| 952 |
+
"learning_rate": 1.7038130010899716e-05,
|
| 953 |
+
"loss": 0.2743,
|
| 954 |
+
"step": 123
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.32978723404255317,
|
| 958 |
+
"grad_norm": 2.3583879470825195,
|
| 959 |
+
"learning_rate": 1.6971799103396332e-05,
|
| 960 |
+
"loss": 0.2776,
|
| 961 |
+
"step": 124
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.3324468085106383,
|
| 965 |
+
"grad_norm": 2.8476576805114746,
|
| 966 |
+
"learning_rate": 1.6904865902523098e-05,
|
| 967 |
+
"loss": 0.3213,
|
| 968 |
+
"step": 125
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.3351063829787234,
|
| 972 |
+
"grad_norm": 1.9458303451538086,
|
| 973 |
+
"learning_rate": 1.6837336190635824e-05,
|
| 974 |
+
"loss": 0.2771,
|
| 975 |
+
"step": 126
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.3377659574468085,
|
| 979 |
+
"grad_norm": 2.4472289085388184,
|
| 980 |
+
"learning_rate": 1.6769215801622884e-05,
|
| 981 |
+
"loss": 0.2924,
|
| 982 |
+
"step": 127
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.3404255319148936,
|
| 986 |
+
"grad_norm": 2.520463228225708,
|
| 987 |
+
"learning_rate": 1.6700510620401223e-05,
|
| 988 |
+
"loss": 0.269,
|
| 989 |
+
"step": 128
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.34308510638297873,
|
| 993 |
+
"grad_norm": 2.2465851306915283,
|
| 994 |
+
"learning_rate": 1.6631226582407954e-05,
|
| 995 |
+
"loss": 0.3043,
|
| 996 |
+
"step": 129
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.34574468085106386,
|
| 1000 |
+
"grad_norm": 2.4705588817596436,
|
| 1001 |
+
"learning_rate": 1.6561369673087588e-05,
|
| 1002 |
+
"loss": 0.3375,
|
| 1003 |
+
"step": 130
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.3484042553191489,
|
| 1007 |
+
"grad_norm": 2.332902669906616,
|
| 1008 |
+
"learning_rate": 1.649094592737497e-05,
|
| 1009 |
+
"loss": 0.2313,
|
| 1010 |
+
"step": 131
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.35106382978723405,
|
| 1014 |
+
"grad_norm": 2.050671100616455,
|
| 1015 |
+
"learning_rate": 1.641996142917391e-05,
|
| 1016 |
+
"loss": 0.3066,
|
| 1017 |
+
"step": 132
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.3537234042553192,
|
| 1021 |
+
"grad_norm": 3.541461706161499,
|
| 1022 |
+
"learning_rate": 1.63484223108316e-05,
|
| 1023 |
+
"loss": 0.2937,
|
| 1024 |
+
"step": 133
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.35638297872340424,
|
| 1028 |
+
"grad_norm": 2.344451665878296,
|
| 1029 |
+
"learning_rate": 1.6276334752608823e-05,
|
| 1030 |
+
"loss": 0.2666,
|
| 1031 |
+
"step": 134
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.35904255319148937,
|
| 1035 |
+
"grad_norm": 2.1711394786834717,
|
| 1036 |
+
"learning_rate": 1.6203704982146073e-05,
|
| 1037 |
+
"loss": 0.2457,
|
| 1038 |
+
"step": 135
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.3617021276595745,
|
| 1042 |
+
"grad_norm": 3.414870023727417,
|
| 1043 |
+
"learning_rate": 1.613053927392553e-05,
|
| 1044 |
+
"loss": 0.331,
|
| 1045 |
+
"step": 136
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.36436170212765956,
|
| 1049 |
+
"grad_norm": 3.037440299987793,
|
| 1050 |
+
"learning_rate": 1.6056843948729e-05,
|
| 1051 |
+
"loss": 0.3025,
|
| 1052 |
+
"step": 137
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.3670212765957447,
|
| 1056 |
+
"grad_norm": 3.548393726348877,
|
| 1057 |
+
"learning_rate": 1.5982625373091877e-05,
|
| 1058 |
+
"loss": 0.3203,
|
| 1059 |
+
"step": 138
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.3696808510638298,
|
| 1063 |
+
"grad_norm": 2.598219633102417,
|
| 1064 |
+
"learning_rate": 1.5907889958753134e-05,
|
| 1065 |
+
"loss": 0.3155,
|
| 1066 |
+
"step": 139
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.3723404255319149,
|
| 1070 |
+
"grad_norm": 2.790419101715088,
|
| 1071 |
+
"learning_rate": 1.5832644162101417e-05,
|
| 1072 |
+
"loss": 0.326,
|
| 1073 |
+
"step": 140
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.3723404255319149,
|
| 1077 |
+
"eval_accuracy": 0.8235294117647058,
|
| 1078 |
+
"eval_f1": 0.5222929936305732,
|
| 1079 |
+
"eval_loss": 0.4106709063053131,
|
| 1080 |
+
"eval_precision": 0.7256637168141593,
|
| 1081 |
+
"eval_recall": 0.4079601990049751,
|
| 1082 |
+
"eval_runtime": 33.9867,
|
| 1083 |
+
"eval_samples_per_second": 6.591,
|
| 1084 |
+
"eval_steps_per_second": 0.206,
|
| 1085 |
+
"step": 140
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"epoch": 0.375,
|
| 1089 |
+
"grad_norm": 3.642287492752075,
|
| 1090 |
+
"learning_rate": 1.5756894483617268e-05,
|
| 1091 |
+
"loss": 0.2809,
|
| 1092 |
+
"step": 141
|
| 1093 |
+
},
|
| 1094 |
+
{
|
| 1095 |
+
"epoch": 0.3776595744680851,
|
| 1096 |
+
"grad_norm": 2.40323805809021,
|
| 1097 |
+
"learning_rate": 1.568064746731156e-05,
|
| 1098 |
+
"loss": 0.2835,
|
| 1099 |
+
"step": 142
|
| 1100 |
+
},
|
| 1101 |
+
{
|
| 1102 |
+
"epoch": 0.3803191489361702,
|
| 1103 |
+
"grad_norm": 1.9183332920074463,
|
| 1104 |
+
"learning_rate": 1.560390970016015e-05,
|
| 1105 |
+
"loss": 0.2534,
|
| 1106 |
+
"step": 143
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 0.3829787234042553,
|
| 1110 |
+
"grad_norm": 3.2929575443267822,
|
| 1111 |
+
"learning_rate": 1.552668781153484e-05,
|
| 1112 |
+
"loss": 0.373,
|
| 1113 |
+
"step": 144
|
| 1114 |
+
},
|
| 1115 |
+
{
|
| 1116 |
+
"epoch": 0.38563829787234044,
|
| 1117 |
+
"grad_norm": 2.27150559425354,
|
| 1118 |
+
"learning_rate": 1.5448988472630654e-05,
|
| 1119 |
+
"loss": 0.2783,
|
| 1120 |
+
"step": 145
|
| 1121 |
+
},
|
| 1122 |
+
{
|
| 1123 |
+
"epoch": 0.3882978723404255,
|
| 1124 |
+
"grad_norm": 2.780089855194092,
|
| 1125 |
+
"learning_rate": 1.5370818395889536e-05,
|
| 1126 |
+
"loss": 0.322,
|
| 1127 |
+
"step": 146
|
| 1128 |
+
},
|
| 1129 |
+
{
|
| 1130 |
+
"epoch": 0.39095744680851063,
|
| 1131 |
+
"grad_norm": 2.2651729583740234,
|
| 1132 |
+
"learning_rate": 1.5292184334420434e-05,
|
| 1133 |
+
"loss": 0.3145,
|
| 1134 |
+
"step": 147
|
| 1135 |
+
},
|
| 1136 |
+
{
|
| 1137 |
+
"epoch": 0.39361702127659576,
|
| 1138 |
+
"grad_norm": 2.8416588306427,
|
| 1139 |
+
"learning_rate": 1.521309308141592e-05,
|
| 1140 |
+
"loss": 0.2979,
|
| 1141 |
+
"step": 148
|
| 1142 |
+
},
|
| 1143 |
+
{
|
| 1144 |
+
"epoch": 0.3962765957446808,
|
| 1145 |
+
"grad_norm": 2.6914663314819336,
|
| 1146 |
+
"learning_rate": 1.5133551469565313e-05,
|
| 1147 |
+
"loss": 0.3314,
|
| 1148 |
+
"step": 149
|
| 1149 |
+
},
|
| 1150 |
+
{
|
| 1151 |
+
"epoch": 0.39893617021276595,
|
| 1152 |
+
"grad_norm": 4.730180740356445,
|
| 1153 |
+
"learning_rate": 1.5053566370464416e-05,
|
| 1154 |
+
"loss": 0.2545,
|
| 1155 |
+
"step": 150
|
| 1156 |
+
},
|
| 1157 |
+
{
|
| 1158 |
+
"epoch": 0.4015957446808511,
|
| 1159 |
+
"grad_norm": 2.2047128677368164,
|
| 1160 |
+
"learning_rate": 1.4973144694021874e-05,
|
| 1161 |
+
"loss": 0.2487,
|
| 1162 |
+
"step": 151
|
| 1163 |
+
},
|
| 1164 |
+
{
|
| 1165 |
+
"epoch": 0.40425531914893614,
|
| 1166 |
+
"grad_norm": 2.841487407684326,
|
| 1167 |
+
"learning_rate": 1.4892293387862221e-05,
|
| 1168 |
+
"loss": 0.3067,
|
| 1169 |
+
"step": 152
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"epoch": 0.40691489361702127,
|
| 1173 |
+
"grad_norm": 5.28929328918457,
|
| 1174 |
+
"learning_rate": 1.4811019436725684e-05,
|
| 1175 |
+
"loss": 0.242,
|
| 1176 |
+
"step": 153
|
| 1177 |
+
},
|
| 1178 |
+
{
|
| 1179 |
+
"epoch": 0.4095744680851064,
|
| 1180 |
+
"grad_norm": 3.347501039505005,
|
| 1181 |
+
"learning_rate": 1.472932986186477e-05,
|
| 1182 |
+
"loss": 0.207,
|
| 1183 |
+
"step": 154
|
| 1184 |
+
},
|
| 1185 |
+
{
|
| 1186 |
+
"epoch": 0.4122340425531915,
|
| 1187 |
+
"grad_norm": 3.1569905281066895,
|
| 1188 |
+
"learning_rate": 1.4647231720437687e-05,
|
| 1189 |
+
"loss": 0.3062,
|
| 1190 |
+
"step": 155
|
| 1191 |
+
},
|
| 1192 |
+
{
|
| 1193 |
+
"epoch": 0.4148936170212766,
|
| 1194 |
+
"grad_norm": 2.134598970413208,
|
| 1195 |
+
"learning_rate": 1.4564732104898702e-05,
|
| 1196 |
+
"loss": 0.2443,
|
| 1197 |
+
"step": 156
|
| 1198 |
+
},
|
| 1199 |
+
{
|
| 1200 |
+
"epoch": 0.4175531914893617,
|
| 1201 |
+
"grad_norm": 2.528136968612671,
|
| 1202 |
+
"learning_rate": 1.4481838142385403e-05,
|
| 1203 |
+
"loss": 0.2308,
|
| 1204 |
+
"step": 157
|
| 1205 |
+
},
|
| 1206 |
+
{
|
| 1207 |
+
"epoch": 0.42021276595744683,
|
| 1208 |
+
"grad_norm": 2.756695032119751,
|
| 1209 |
+
"learning_rate": 1.4398556994102996e-05,
|
| 1210 |
+
"loss": 0.2461,
|
| 1211 |
+
"step": 158
|
| 1212 |
+
},
|
| 1213 |
+
{
|
| 1214 |
+
"epoch": 0.4228723404255319,
|
| 1215 |
+
"grad_norm": 4.9117631912231445,
|
| 1216 |
+
"learning_rate": 1.4314895854705641e-05,
|
| 1217 |
+
"loss": 0.2911,
|
| 1218 |
+
"step": 159
|
| 1219 |
+
},
|
| 1220 |
+
{
|
| 1221 |
+
"epoch": 0.425531914893617,
|
| 1222 |
+
"grad_norm": 2.877560615539551,
|
| 1223 |
+
"learning_rate": 1.4230861951674914e-05,
|
| 1224 |
+
"loss": 0.2404,
|
| 1225 |
+
"step": 160
|
| 1226 |
+
},
|
| 1227 |
+
{
|
| 1228 |
+
"epoch": 0.425531914893617,
|
| 1229 |
+
"eval_accuracy": 0.8094117647058824,
|
| 1230 |
+
"eval_f1": 0.40875912408759124,
|
| 1231 |
+
"eval_loss": 0.46145251393318176,
|
| 1232 |
+
"eval_precision": 0.7671232876712328,
|
| 1233 |
+
"eval_recall": 0.27860696517412936,
|
| 1234 |
+
"eval_runtime": 34.0326,
|
| 1235 |
+
"eval_samples_per_second": 6.582,
|
| 1236 |
+
"eval_steps_per_second": 0.206,
|
| 1237 |
+
"step": 160
|
| 1238 |
+
},
|
| 1239 |
+
{
|
| 1240 |
+
"epoch": 0.42819148936170215,
|
| 1241 |
+
"grad_norm": 4.159635066986084,
|
| 1242 |
+
"learning_rate": 1.4146462544695428e-05,
|
| 1243 |
+
"loss": 0.2858,
|
| 1244 |
+
"step": 161
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 0.4308510638297872,
|
| 1248 |
+
"grad_norm": 2.716390609741211,
|
| 1249 |
+
"learning_rate": 1.4061704925027653e-05,
|
| 1250 |
+
"loss": 0.2299,
|
| 1251 |
+
"step": 162
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 0.43351063829787234,
|
| 1255 |
+
"grad_norm": 2.3737223148345947,
|
| 1256 |
+
"learning_rate": 1.3976596414878044e-05,
|
| 1257 |
+
"loss": 0.2371,
|
| 1258 |
+
"step": 163
|
| 1259 |
+
},
|
| 1260 |
+
{
|
| 1261 |
+
"epoch": 0.43617021276595747,
|
| 1262 |
+
"grad_norm": 3.5703928470611572,
|
| 1263 |
+
"learning_rate": 1.3891144366766457e-05,
|
| 1264 |
+
"loss": 0.3007,
|
| 1265 |
+
"step": 164
|
| 1266 |
+
},
|
| 1267 |
+
{
|
| 1268 |
+
"epoch": 0.43882978723404253,
|
| 1269 |
+
"grad_norm": 2.449308156967163,
|
| 1270 |
+
"learning_rate": 1.380535616289099e-05,
|
| 1271 |
+
"loss": 0.2414,
|
| 1272 |
+
"step": 165
|
| 1273 |
+
},
|
| 1274 |
+
{
|
| 1275 |
+
"epoch": 0.44148936170212766,
|
| 1276 |
+
"grad_norm": 3.272531509399414,
|
| 1277 |
+
"learning_rate": 1.3719239214490203e-05,
|
| 1278 |
+
"loss": 0.2961,
|
| 1279 |
+
"step": 166
|
| 1280 |
+
},
|
| 1281 |
+
{
|
| 1282 |
+
"epoch": 0.4441489361702128,
|
| 1283 |
+
"grad_norm": 3.6306636333465576,
|
| 1284 |
+
"learning_rate": 1.363280096120289e-05,
|
| 1285 |
+
"loss": 0.2923,
|
| 1286 |
+
"step": 167
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 0.44680851063829785,
|
| 1290 |
+
"grad_norm": 2.5956878662109375,
|
| 1291 |
+
"learning_rate": 1.3546048870425356e-05,
|
| 1292 |
+
"loss": 0.251,
|
| 1293 |
+
"step": 168
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"epoch": 0.449468085106383,
|
| 1297 |
+
"grad_norm": 5.468013286590576,
|
| 1298 |
+
"learning_rate": 1.3458990436666313e-05,
|
| 1299 |
+
"loss": 0.287,
|
| 1300 |
+
"step": 169
|
| 1301 |
+
},
|
| 1302 |
+
{
|
| 1303 |
+
"epoch": 0.4521276595744681,
|
| 1304 |
+
"grad_norm": 2.5763583183288574,
|
| 1305 |
+
"learning_rate": 1.3371633180899417e-05,
|
| 1306 |
+
"loss": 0.2779,
|
| 1307 |
+
"step": 170
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 0.45478723404255317,
|
| 1311 |
+
"grad_norm": 3.8822455406188965,
|
| 1312 |
+
"learning_rate": 1.3283984649913552e-05,
|
| 1313 |
+
"loss": 0.2197,
|
| 1314 |
+
"step": 171
|
| 1315 |
+
},
|
| 1316 |
+
{
|
| 1317 |
+
"epoch": 0.4574468085106383,
|
| 1318 |
+
"grad_norm": 2.4867823123931885,
|
| 1319 |
+
"learning_rate": 1.3196052415660856e-05,
|
| 1320 |
+
"loss": 0.2875,
|
| 1321 |
+
"step": 172
|
| 1322 |
+
},
|
| 1323 |
+
{
|
| 1324 |
+
"epoch": 0.4601063829787234,
|
| 1325 |
+
"grad_norm": 2.161820888519287,
|
| 1326 |
+
"learning_rate": 1.3107844074602566e-05,
|
| 1327 |
+
"loss": 0.2416,
|
| 1328 |
+
"step": 173
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 0.4627659574468085,
|
| 1332 |
+
"grad_norm": 3.0401649475097656,
|
| 1333 |
+
"learning_rate": 1.3019367247052781e-05,
|
| 1334 |
+
"loss": 0.2634,
|
| 1335 |
+
"step": 174
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 0.4654255319148936,
|
| 1339 |
+
"grad_norm": 2.273088216781616,
|
| 1340 |
+
"learning_rate": 1.2930629576520133e-05,
|
| 1341 |
+
"loss": 0.2709,
|
| 1342 |
+
"step": 175
|
| 1343 |
+
},
|
| 1344 |
+
{
|
| 1345 |
+
"epoch": 0.46808510638297873,
|
| 1346 |
+
"grad_norm": 3.001025438308716,
|
| 1347 |
+
"learning_rate": 1.2841638729047463e-05,
|
| 1348 |
+
"loss": 0.2806,
|
| 1349 |
+
"step": 176
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"epoch": 0.47074468085106386,
|
| 1353 |
+
"grad_norm": 2.348917245864868,
|
| 1354 |
+
"learning_rate": 1.2752402392549556e-05,
|
| 1355 |
+
"loss": 0.2702,
|
| 1356 |
+
"step": 177
|
| 1357 |
+
},
|
| 1358 |
+
{
|
| 1359 |
+
"epoch": 0.4734042553191489,
|
| 1360 |
+
"grad_norm": 2.713019847869873,
|
| 1361 |
+
"learning_rate": 1.2662928276148985e-05,
|
| 1362 |
+
"loss": 0.2588,
|
| 1363 |
+
"step": 178
|
| 1364 |
+
},
|
| 1365 |
+
{
|
| 1366 |
+
"epoch": 0.47606382978723405,
|
| 1367 |
+
"grad_norm": 3.061501979827881,
|
| 1368 |
+
"learning_rate": 1.2573224109510112e-05,
|
| 1369 |
+
"loss": 0.2701,
|
| 1370 |
+
"step": 179
|
| 1371 |
+
},
|
| 1372 |
+
{
|
| 1373 |
+
"epoch": 0.4787234042553192,
|
| 1374 |
+
"grad_norm": 5.120430946350098,
|
| 1375 |
+
"learning_rate": 1.2483297642171332e-05,
|
| 1376 |
+
"loss": 0.2962,
|
| 1377 |
+
"step": 180
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"epoch": 0.4787234042553192,
|
| 1381 |
+
"eval_accuracy": 0.8282352941176471,
|
| 1382 |
+
"eval_f1": 0.5228758169934641,
|
| 1383 |
+
"eval_loss": 0.42048707604408264,
|
| 1384 |
+
"eval_precision": 0.7619047619047619,
|
| 1385 |
+
"eval_recall": 0.39800995024875624,
|
| 1386 |
+
"eval_runtime": 34.4467,
|
| 1387 |
+
"eval_samples_per_second": 6.503,
|
| 1388 |
+
"eval_steps_per_second": 0.203,
|
| 1389 |
+
"step": 180
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 0.48138297872340424,
|
| 1393 |
+
"grad_norm": 2.8563108444213867,
|
| 1394 |
+
"learning_rate": 1.2393156642875579e-05,
|
| 1395 |
+
"loss": 0.2855,
|
| 1396 |
+
"step": 181
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"epoch": 0.48404255319148937,
|
| 1400 |
+
"grad_norm": 3.6837549209594727,
|
| 1401 |
+
"learning_rate": 1.23028088988992e-05,
|
| 1402 |
+
"loss": 0.2976,
|
| 1403 |
+
"step": 182
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 0.4867021276595745,
|
| 1407 |
+
"grad_norm": 3.085362434387207,
|
| 1408 |
+
"learning_rate": 1.2212262215379199e-05,
|
| 1409 |
+
"loss": 0.2775,
|
| 1410 |
+
"step": 183
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 0.48936170212765956,
|
| 1414 |
+
"grad_norm": 3.395561695098877,
|
| 1415 |
+
"learning_rate": 1.2121524414638958e-05,
|
| 1416 |
+
"loss": 0.3076,
|
| 1417 |
+
"step": 184
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 0.4920212765957447,
|
| 1421 |
+
"grad_norm": 3.6867411136627197,
|
| 1422 |
+
"learning_rate": 1.2030603335512467e-05,
|
| 1423 |
+
"loss": 0.2402,
|
| 1424 |
+
"step": 185
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 0.4946808510638298,
|
| 1428 |
+
"grad_norm": 5.76826810836792,
|
| 1429 |
+
"learning_rate": 1.1939506832667129e-05,
|
| 1430 |
+
"loss": 0.2715,
|
| 1431 |
+
"step": 186
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 0.4973404255319149,
|
| 1435 |
+
"grad_norm": 3.938023328781128,
|
| 1436 |
+
"learning_rate": 1.1848242775925188e-05,
|
| 1437 |
+
"loss": 0.2773,
|
| 1438 |
+
"step": 187
|
| 1439 |
+
},
|
| 1440 |
+
{
|
| 1441 |
+
"epoch": 0.5,
|
| 1442 |
+
"grad_norm": 3.6675262451171875,
|
| 1443 |
+
"learning_rate": 1.1756819049583861e-05,
|
| 1444 |
+
"loss": 0.2752,
|
| 1445 |
+
"step": 188
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"epoch": 0.5026595744680851,
|
| 1449 |
+
"grad_norm": 2.274174213409424,
|
| 1450 |
+
"learning_rate": 1.166524355173422e-05,
|
| 1451 |
+
"loss": 0.2545,
|
| 1452 |
+
"step": 189
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"epoch": 0.5053191489361702,
|
| 1456 |
+
"grad_norm": 3.854417562484741,
|
| 1457 |
+
"learning_rate": 1.1573524193578863e-05,
|
| 1458 |
+
"loss": 0.2804,
|
| 1459 |
+
"step": 190
|
| 1460 |
+
},
|
| 1461 |
+
{
|
| 1462 |
+
"epoch": 0.5079787234042553,
|
| 1463 |
+
"grad_norm": 5.1708550453186035,
|
| 1464 |
+
"learning_rate": 1.1481668898748474e-05,
|
| 1465 |
+
"loss": 0.2371,
|
| 1466 |
+
"step": 191
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 0.5106382978723404,
|
| 1470 |
+
"grad_norm": 4.153345584869385,
|
| 1471 |
+
"learning_rate": 1.1389685602617302e-05,
|
| 1472 |
+
"loss": 0.2405,
|
| 1473 |
+
"step": 192
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 0.5132978723404256,
|
| 1477 |
+
"grad_norm": 3.244084119796753,
|
| 1478 |
+
"learning_rate": 1.1297582251617618e-05,
|
| 1479 |
+
"loss": 0.2737,
|
| 1480 |
+
"step": 193
|
| 1481 |
+
},
|
| 1482 |
+
{
|
| 1483 |
+
"epoch": 0.5159574468085106,
|
| 1484 |
+
"grad_norm": 2.50569486618042,
|
| 1485 |
+
"learning_rate": 1.1205366802553231e-05,
|
| 1486 |
+
"loss": 0.2647,
|
| 1487 |
+
"step": 194
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 0.5186170212765957,
|
| 1491 |
+
"grad_norm": 2.3251872062683105,
|
| 1492 |
+
"learning_rate": 1.1113047221912097e-05,
|
| 1493 |
+
"loss": 0.1958,
|
| 1494 |
+
"step": 195
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"epoch": 0.5212765957446809,
|
| 1498 |
+
"grad_norm": 2.288127899169922,
|
| 1499 |
+
"learning_rate": 1.1020631485178084e-05,
|
| 1500 |
+
"loss": 0.2109,
|
| 1501 |
+
"step": 196
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 0.523936170212766,
|
| 1505 |
+
"grad_norm": 4.095820426940918,
|
| 1506 |
+
"learning_rate": 1.0928127576141992e-05,
|
| 1507 |
+
"loss": 0.2998,
|
| 1508 |
+
"step": 197
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 0.526595744680851,
|
| 1512 |
+
"grad_norm": 5.008273601531982,
|
| 1513 |
+
"learning_rate": 1.0835543486211815e-05,
|
| 1514 |
+
"loss": 0.2841,
|
| 1515 |
+
"step": 198
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 0.5292553191489362,
|
| 1519 |
+
"grad_norm": 5.711911678314209,
|
| 1520 |
+
"learning_rate": 1.0742887213722372e-05,
|
| 1521 |
+
"loss": 0.2488,
|
| 1522 |
+
"step": 199
|
| 1523 |
+
},
|
| 1524 |
+
{
|
| 1525 |
+
"epoch": 0.5319148936170213,
|
| 1526 |
+
"grad_norm": 5.29080867767334,
|
| 1527 |
+
"learning_rate": 1.065016676324433e-05,
|
| 1528 |
+
"loss": 0.2727,
|
| 1529 |
+
"step": 200
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 0.5319148936170213,
|
| 1533 |
+
"eval_accuracy": 0.8,
|
| 1534 |
+
"eval_f1": 0.34615384615384615,
|
| 1535 |
+
"eval_loss": 0.4829849600791931,
|
| 1536 |
+
"eval_precision": 0.7627118644067796,
|
| 1537 |
+
"eval_recall": 0.22388059701492538,
|
| 1538 |
+
"eval_runtime": 33.8087,
|
| 1539 |
+
"eval_samples_per_second": 6.626,
|
| 1540 |
+
"eval_steps_per_second": 0.207,
|
| 1541 |
+
"step": 200
|
| 1542 |
}
|
| 1543 |
],
|
| 1544 |
"logging_steps": 1,
|
|
|
|
| 1558 |
"attributes": {}
|
| 1559 |
}
|
| 1560 |
},
|
| 1561 |
+
"total_flos": 6.492182455884186e+16,
|
| 1562 |
"train_batch_size": 8,
|
| 1563 |
"trial_name": null,
|
| 1564 |
"trial_params": null
|