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/rng_state_1.pth +1 -1
- last-checkpoint/rng_state_2.pth +1 -1
- last-checkpoint/rng_state_3.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:ce35a7d9d3ee41577a6667581545907c05369b98efeb251f2496e6bc41c8ec77
|
| 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 sha256:3183b1742cfca72c52d940d8e04287494b43efa4116947a96e4cccfcd21348d1
|
| 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 sha256:4205a4ab8bd014921ab915be98db9b55bb90c27eea063f468f810bebf254273d
|
| 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 sha256:27c49502b98af6483397efb3fb254c6f7e946e966f58d1d19162f8d43a197fae
|
| 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:b45efd5b804d9c79be3d4548ed087b9258b26177b6f16e8676684fc7e504f116
|
| 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 sha256:4f06d05203698d9a4d1d043d4f6ec8e5d78d608cb2c2042bf829842852ccf38a
|
| 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 sha256:9238ae75b55c27a76fd44d1a52af2ef5fcef2e2d365994a5ae17e1a8621203d8
|
| 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:d9f463169e3e2cc274a980569fa1cb4cfa88e7201ab5723d1c28049cdf5ad735
|
| 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:e5fd10842b846f23f804b87787b0db7af5bfcba064be8c3070f885069f8f09eb
|
| 3 |
size 14960
|
last-checkpoint/rng_state_1.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14960
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2450d0f517cf62b4f3a015159fe38db28367eb0c801cb5225a1b0f787d5dab99
|
| 3 |
size 14960
|
last-checkpoint/rng_state_2.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14960
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e779a0b2c2a3ad985f3f55d1ce49fd69594728e960e944e220a1338fd43bc335
|
| 3 |
size 14960
|
last-checkpoint/rng_state_3.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14960
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b87d7520e5c4522a68dbd37ed2479be5e1a14db81e2ef489ecd23f9218d190e0
|
| 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 sha256:8e4d36ee848a393c30e3e5c4fa3aa77d375c6146cf30c4d23f89f99b1beaf537
|
| 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": 5.726,
|
| 780 |
"eval_steps_per_second": 0.187,
|
| 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": 0.18552875695732837,
|
| 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": 5.726,
|
| 780 |
"eval_steps_per_second": 0.187,
|
| 781 |
"step": 100
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"epoch": 0.09369202226345083,
|
| 785 |
+
"grad_norm": 4.2124924659729,
|
| 786 |
+
"learning_rate": 1.8703703703703707e-05,
|
| 787 |
+
"loss": 0.2609,
|
| 788 |
+
"step": 101
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 0.09461966604823747,
|
| 792 |
+
"grad_norm": 5.753302097320557,
|
| 793 |
+
"learning_rate": 1.888888888888889e-05,
|
| 794 |
+
"loss": 0.3886,
|
| 795 |
+
"step": 102
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 0.09554730983302412,
|
| 799 |
+
"grad_norm": 4.0034050941467285,
|
| 800 |
+
"learning_rate": 1.9074074074074075e-05,
|
| 801 |
+
"loss": 0.2714,
|
| 802 |
+
"step": 103
|
| 803 |
+
},
|
| 804 |
+
{
|
| 805 |
+
"epoch": 0.09647495361781076,
|
| 806 |
+
"grad_norm": 7.041585922241211,
|
| 807 |
+
"learning_rate": 1.925925925925926e-05,
|
| 808 |
+
"loss": 0.3665,
|
| 809 |
+
"step": 104
|
| 810 |
+
},
|
| 811 |
+
{
|
| 812 |
+
"epoch": 0.09740259740259741,
|
| 813 |
+
"grad_norm": 5.10760498046875,
|
| 814 |
+
"learning_rate": 1.9444444444444445e-05,
|
| 815 |
+
"loss": 0.3047,
|
| 816 |
+
"step": 105
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 0.09833024118738404,
|
| 820 |
+
"grad_norm": 7.445008754730225,
|
| 821 |
+
"learning_rate": 1.962962962962963e-05,
|
| 822 |
+
"loss": 0.2991,
|
| 823 |
+
"step": 106
|
| 824 |
+
},
|
| 825 |
+
{
|
| 826 |
+
"epoch": 0.09925788497217068,
|
| 827 |
+
"grad_norm": 5.59462833404541,
|
| 828 |
+
"learning_rate": 1.9814814814814816e-05,
|
| 829 |
+
"loss": 0.3124,
|
| 830 |
+
"step": 107
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 0.10018552875695733,
|
| 834 |
+
"grad_norm": 4.407949447631836,
|
| 835 |
+
"learning_rate": 2e-05,
|
| 836 |
+
"loss": 0.2371,
|
| 837 |
+
"step": 108
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 0.10111317254174397,
|
| 841 |
+
"grad_norm": 7.777821063995361,
|
| 842 |
+
"learning_rate": 1.999994755236596e-05,
|
| 843 |
+
"loss": 0.4208,
|
| 844 |
+
"step": 109
|
| 845 |
+
},
|
| 846 |
+
{
|
| 847 |
+
"epoch": 0.10204081632653061,
|
| 848 |
+
"grad_norm": 9.282930374145508,
|
| 849 |
+
"learning_rate": 1.999979021001399e-05,
|
| 850 |
+
"loss": 0.2394,
|
| 851 |
+
"step": 110
|
| 852 |
+
},
|
| 853 |
+
{
|
| 854 |
+
"epoch": 0.10296846011131726,
|
| 855 |
+
"grad_norm": 3.985445976257324,
|
| 856 |
+
"learning_rate": 1.999952797459453e-05,
|
| 857 |
+
"loss": 0.3059,
|
| 858 |
+
"step": 111
|
| 859 |
+
},
|
| 860 |
+
{
|
| 861 |
+
"epoch": 0.1038961038961039,
|
| 862 |
+
"grad_norm": 8.832866668701172,
|
| 863 |
+
"learning_rate": 1.999916084885832e-05,
|
| 864 |
+
"loss": 0.2748,
|
| 865 |
+
"step": 112
|
| 866 |
+
},
|
| 867 |
+
{
|
| 868 |
+
"epoch": 0.10482374768089053,
|
| 869 |
+
"grad_norm": 3.676673173904419,
|
| 870 |
+
"learning_rate": 1.9998688836656322e-05,
|
| 871 |
+
"loss": 0.2271,
|
| 872 |
+
"step": 113
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 0.10575139146567718,
|
| 876 |
+
"grad_norm": 4.632993698120117,
|
| 877 |
+
"learning_rate": 1.9998111942939727e-05,
|
| 878 |
+
"loss": 0.292,
|
| 879 |
+
"step": 114
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 0.10667903525046382,
|
| 883 |
+
"grad_norm": 4.095834732055664,
|
| 884 |
+
"learning_rate": 1.9997430173759876e-05,
|
| 885 |
+
"loss": 0.2222,
|
| 886 |
+
"step": 115
|
| 887 |
+
},
|
| 888 |
+
{
|
| 889 |
+
"epoch": 0.10760667903525047,
|
| 890 |
+
"grad_norm": 5.404327392578125,
|
| 891 |
+
"learning_rate": 1.9996643536268202e-05,
|
| 892 |
+
"loss": 0.3083,
|
| 893 |
+
"step": 116
|
| 894 |
+
},
|
| 895 |
+
{
|
| 896 |
+
"epoch": 0.10853432282003711,
|
| 897 |
+
"grad_norm": 5.261657238006592,
|
| 898 |
+
"learning_rate": 1.9995752038716166e-05,
|
| 899 |
+
"loss": 0.2628,
|
| 900 |
+
"step": 117
|
| 901 |
+
},
|
| 902 |
+
{
|
| 903 |
+
"epoch": 0.10946196660482375,
|
| 904 |
+
"grad_norm": 5.081439018249512,
|
| 905 |
+
"learning_rate": 1.9994755690455154e-05,
|
| 906 |
+
"loss": 0.3403,
|
| 907 |
+
"step": 118
|
| 908 |
+
},
|
| 909 |
+
{
|
| 910 |
+
"epoch": 0.11038961038961038,
|
| 911 |
+
"grad_norm": 8.73869800567627,
|
| 912 |
+
"learning_rate": 1.999365450193638e-05,
|
| 913 |
+
"loss": 0.2949,
|
| 914 |
+
"step": 119
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 0.11131725417439703,
|
| 918 |
+
"grad_norm": 6.3659586906433105,
|
| 919 |
+
"learning_rate": 1.99924484847108e-05,
|
| 920 |
+
"loss": 0.2925,
|
| 921 |
+
"step": 120
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 0.11131725417439703,
|
| 925 |
+
"eval_accuracy": 0.8015521064301552,
|
| 926 |
+
"eval_f1": 0.5095890410958904,
|
| 927 |
+
"eval_loss": 0.500335693359375,
|
| 928 |
+
"eval_precision": 0.8303571428571429,
|
| 929 |
+
"eval_recall": 0.3675889328063241,
|
| 930 |
+
"eval_runtime": 48.0846,
|
| 931 |
+
"eval_samples_per_second": 5.74,
|
| 932 |
+
"eval_steps_per_second": 0.187,
|
| 933 |
+
"step": 120
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.11224489795918367,
|
| 937 |
+
"grad_norm": 4.58190393447876,
|
| 938 |
+
"learning_rate": 1.9991137651428957e-05,
|
| 939 |
+
"loss": 0.2265,
|
| 940 |
+
"step": 121
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.11317254174397032,
|
| 944 |
+
"grad_norm": 5.173889636993408,
|
| 945 |
+
"learning_rate": 1.998972201584088e-05,
|
| 946 |
+
"loss": 0.2239,
|
| 947 |
+
"step": 122
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.11410018552875696,
|
| 951 |
+
"grad_norm": 4.783614158630371,
|
| 952 |
+
"learning_rate": 1.998820159279591e-05,
|
| 953 |
+
"loss": 0.2998,
|
| 954 |
+
"step": 123
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.1150278293135436,
|
| 958 |
+
"grad_norm": 3.5412709712982178,
|
| 959 |
+
"learning_rate": 1.9986576398242566e-05,
|
| 960 |
+
"loss": 0.2021,
|
| 961 |
+
"step": 124
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.11595547309833024,
|
| 965 |
+
"grad_norm": 3.692047119140625,
|
| 966 |
+
"learning_rate": 1.998484644922837e-05,
|
| 967 |
+
"loss": 0.2432,
|
| 968 |
+
"step": 125
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.11688311688311688,
|
| 972 |
+
"grad_norm": 2.976855993270874,
|
| 973 |
+
"learning_rate": 1.9983011763899674e-05,
|
| 974 |
+
"loss": 0.2703,
|
| 975 |
+
"step": 126
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.11781076066790352,
|
| 979 |
+
"grad_norm": 5.132311820983887,
|
| 980 |
+
"learning_rate": 1.998107236150145e-05,
|
| 981 |
+
"loss": 0.3625,
|
| 982 |
+
"step": 127
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.11873840445269017,
|
| 986 |
+
"grad_norm": 5.332205772399902,
|
| 987 |
+
"learning_rate": 1.997902826237712e-05,
|
| 988 |
+
"loss": 0.3431,
|
| 989 |
+
"step": 128
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.11966604823747681,
|
| 993 |
+
"grad_norm": 7.54325532913208,
|
| 994 |
+
"learning_rate": 1.997687948796831e-05,
|
| 995 |
+
"loss": 0.2762,
|
| 996 |
+
"step": 129
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.12059369202226346,
|
| 1000 |
+
"grad_norm": 4.39344596862793,
|
| 1001 |
+
"learning_rate": 1.997462606081465e-05,
|
| 1002 |
+
"loss": 0.2178,
|
| 1003 |
+
"step": 130
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.12152133580705009,
|
| 1007 |
+
"grad_norm": 4.67897891998291,
|
| 1008 |
+
"learning_rate": 1.997226800455352e-05,
|
| 1009 |
+
"loss": 0.2575,
|
| 1010 |
+
"step": 131
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.12244897959183673,
|
| 1014 |
+
"grad_norm": 2.7064077854156494,
|
| 1015 |
+
"learning_rate": 1.9969805343919822e-05,
|
| 1016 |
+
"loss": 0.1973,
|
| 1017 |
+
"step": 132
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.12337662337662338,
|
| 1021 |
+
"grad_norm": 2.841456413269043,
|
| 1022 |
+
"learning_rate": 1.9967238104745695e-05,
|
| 1023 |
+
"loss": 0.186,
|
| 1024 |
+
"step": 133
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.12430426716141002,
|
| 1028 |
+
"grad_norm": 5.078066349029541,
|
| 1029 |
+
"learning_rate": 1.9964566313960265e-05,
|
| 1030 |
+
"loss": 0.2899,
|
| 1031 |
+
"step": 134
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.12523191094619665,
|
| 1035 |
+
"grad_norm": 3.5166287422180176,
|
| 1036 |
+
"learning_rate": 1.9961789999589357e-05,
|
| 1037 |
+
"loss": 0.2397,
|
| 1038 |
+
"step": 135
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.1261595547309833,
|
| 1042 |
+
"grad_norm": 3.0311009883880615,
|
| 1043 |
+
"learning_rate": 1.995890919075519e-05,
|
| 1044 |
+
"loss": 0.2042,
|
| 1045 |
+
"step": 136
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.12708719851576994,
|
| 1049 |
+
"grad_norm": 4.455051898956299,
|
| 1050 |
+
"learning_rate": 1.995592391767608e-05,
|
| 1051 |
+
"loss": 0.1938,
|
| 1052 |
+
"step": 137
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.1280148423005566,
|
| 1056 |
+
"grad_norm": 3.05238676071167,
|
| 1057 |
+
"learning_rate": 1.995283421166614e-05,
|
| 1058 |
+
"loss": 0.2134,
|
| 1059 |
+
"step": 138
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.12894248608534323,
|
| 1063 |
+
"grad_norm": 2.5545527935028076,
|
| 1064 |
+
"learning_rate": 1.994964010513492e-05,
|
| 1065 |
+
"loss": 0.1558,
|
| 1066 |
+
"step": 139
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.12987012987012986,
|
| 1070 |
+
"grad_norm": 3.169755458831787,
|
| 1071 |
+
"learning_rate": 1.9946341631587086e-05,
|
| 1072 |
+
"loss": 0.1912,
|
| 1073 |
+
"step": 140
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.12987012987012986,
|
| 1077 |
+
"eval_accuracy": 0.8004434589800443,
|
| 1078 |
+
"eval_f1": 0.5,
|
| 1079 |
+
"eval_loss": 0.45746758580207825,
|
| 1080 |
+
"eval_precision": 0.8411214953271028,
|
| 1081 |
+
"eval_recall": 0.3557312252964427,
|
| 1082 |
+
"eval_runtime": 48.503,
|
| 1083 |
+
"eval_samples_per_second": 5.69,
|
| 1084 |
+
"eval_steps_per_second": 0.186,
|
| 1085 |
+
"step": 140
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"epoch": 0.13079777365491652,
|
| 1089 |
+
"grad_norm": 5.176037788391113,
|
| 1090 |
+
"learning_rate": 1.9942938825622064e-05,
|
| 1091 |
+
"loss": 0.261,
|
| 1092 |
+
"step": 141
|
| 1093 |
+
},
|
| 1094 |
+
{
|
| 1095 |
+
"epoch": 0.13172541743970315,
|
| 1096 |
+
"grad_norm": 4.5571513175964355,
|
| 1097 |
+
"learning_rate": 1.9939431722933678e-05,
|
| 1098 |
+
"loss": 0.1861,
|
| 1099 |
+
"step": 142
|
| 1100 |
+
},
|
| 1101 |
+
{
|
| 1102 |
+
"epoch": 0.1326530612244898,
|
| 1103 |
+
"grad_norm": 4.165744304656982,
|
| 1104 |
+
"learning_rate": 1.993582036030978e-05,
|
| 1105 |
+
"loss": 0.252,
|
| 1106 |
+
"step": 143
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 0.13358070500927643,
|
| 1110 |
+
"grad_norm": 3.6084752082824707,
|
| 1111 |
+
"learning_rate": 1.9932104775631847e-05,
|
| 1112 |
+
"loss": 0.2091,
|
| 1113 |
+
"step": 144
|
| 1114 |
+
},
|
| 1115 |
+
{
|
| 1116 |
+
"epoch": 0.1345083487940631,
|
| 1117 |
+
"grad_norm": 5.7025837898254395,
|
| 1118 |
+
"learning_rate": 1.992828500787461e-05,
|
| 1119 |
+
"loss": 0.2875,
|
| 1120 |
+
"step": 145
|
| 1121 |
+
},
|
| 1122 |
+
{
|
| 1123 |
+
"epoch": 0.13543599257884972,
|
| 1124 |
+
"grad_norm": 3.954706907272339,
|
| 1125 |
+
"learning_rate": 1.9924361097105624e-05,
|
| 1126 |
+
"loss": 0.147,
|
| 1127 |
+
"step": 146
|
| 1128 |
+
},
|
| 1129 |
+
{
|
| 1130 |
+
"epoch": 0.13636363636363635,
|
| 1131 |
+
"grad_norm": 3.246682643890381,
|
| 1132 |
+
"learning_rate": 1.992033308448486e-05,
|
| 1133 |
+
"loss": 0.1406,
|
| 1134 |
+
"step": 147
|
| 1135 |
+
},
|
| 1136 |
+
{
|
| 1137 |
+
"epoch": 0.137291280148423,
|
| 1138 |
+
"grad_norm": 7.386576175689697,
|
| 1139 |
+
"learning_rate": 1.9916201012264255e-05,
|
| 1140 |
+
"loss": 0.2637,
|
| 1141 |
+
"step": 148
|
| 1142 |
+
},
|
| 1143 |
+
{
|
| 1144 |
+
"epoch": 0.13821892393320964,
|
| 1145 |
+
"grad_norm": 11.797701835632324,
|
| 1146 |
+
"learning_rate": 1.9911964923787295e-05,
|
| 1147 |
+
"loss": 0.2989,
|
| 1148 |
+
"step": 149
|
| 1149 |
+
},
|
| 1150 |
+
{
|
| 1151 |
+
"epoch": 0.1391465677179963,
|
| 1152 |
+
"grad_norm": 4.424801349639893,
|
| 1153 |
+
"learning_rate": 1.990762486348855e-05,
|
| 1154 |
+
"loss": 0.2059,
|
| 1155 |
+
"step": 150
|
| 1156 |
+
},
|
| 1157 |
+
{
|
| 1158 |
+
"epoch": 0.14007421150278293,
|
| 1159 |
+
"grad_norm": 6.5464582443237305,
|
| 1160 |
+
"learning_rate": 1.9903180876893195e-05,
|
| 1161 |
+
"loss": 0.3335,
|
| 1162 |
+
"step": 151
|
| 1163 |
+
},
|
| 1164 |
+
{
|
| 1165 |
+
"epoch": 0.14100185528756956,
|
| 1166 |
+
"grad_norm": 6.232185363769531,
|
| 1167 |
+
"learning_rate": 1.989863301061654e-05,
|
| 1168 |
+
"loss": 0.1652,
|
| 1169 |
+
"step": 152
|
| 1170 |
+
},
|
| 1171 |
+
{
|
| 1172 |
+
"epoch": 0.14192949907235622,
|
| 1173 |
+
"grad_norm": 7.7785162925720215,
|
| 1174 |
+
"learning_rate": 1.9893981312363563e-05,
|
| 1175 |
+
"loss": 0.3246,
|
| 1176 |
+
"step": 153
|
| 1177 |
+
},
|
| 1178 |
+
{
|
| 1179 |
+
"epoch": 0.14285714285714285,
|
| 1180 |
+
"grad_norm": 4.034485340118408,
|
| 1181 |
+
"learning_rate": 1.9889225830928365e-05,
|
| 1182 |
+
"loss": 0.1639,
|
| 1183 |
+
"step": 154
|
| 1184 |
+
},
|
| 1185 |
+
{
|
| 1186 |
+
"epoch": 0.1437847866419295,
|
| 1187 |
+
"grad_norm": 4.565614223480225,
|
| 1188 |
+
"learning_rate": 1.9884366616193707e-05,
|
| 1189 |
+
"loss": 0.2567,
|
| 1190 |
+
"step": 155
|
| 1191 |
+
},
|
| 1192 |
+
{
|
| 1193 |
+
"epoch": 0.14471243042671614,
|
| 1194 |
+
"grad_norm": 4.671913146972656,
|
| 1195 |
+
"learning_rate": 1.987940371913044e-05,
|
| 1196 |
+
"loss": 0.2956,
|
| 1197 |
+
"step": 156
|
| 1198 |
+
},
|
| 1199 |
+
{
|
| 1200 |
+
"epoch": 0.1456400742115028,
|
| 1201 |
+
"grad_norm": 4.866475582122803,
|
| 1202 |
+
"learning_rate": 1.987433719179702e-05,
|
| 1203 |
+
"loss": 0.1732,
|
| 1204 |
+
"step": 157
|
| 1205 |
+
},
|
| 1206 |
+
{
|
| 1207 |
+
"epoch": 0.14656771799628943,
|
| 1208 |
+
"grad_norm": 7.748964786529541,
|
| 1209 |
+
"learning_rate": 1.9869167087338908e-05,
|
| 1210 |
+
"loss": 0.3068,
|
| 1211 |
+
"step": 158
|
| 1212 |
+
},
|
| 1213 |
+
{
|
| 1214 |
+
"epoch": 0.14749536178107606,
|
| 1215 |
+
"grad_norm": 3.243945837020874,
|
| 1216 |
+
"learning_rate": 1.986389345998806e-05,
|
| 1217 |
+
"loss": 0.2172,
|
| 1218 |
+
"step": 159
|
| 1219 |
+
},
|
| 1220 |
+
{
|
| 1221 |
+
"epoch": 0.14842300556586271,
|
| 1222 |
+
"grad_norm": 2.541400671005249,
|
| 1223 |
+
"learning_rate": 1.9858516365062334e-05,
|
| 1224 |
+
"loss": 0.1991,
|
| 1225 |
+
"step": 160
|
| 1226 |
+
},
|
| 1227 |
+
{
|
| 1228 |
+
"epoch": 0.14842300556586271,
|
| 1229 |
+
"eval_accuracy": 0.811529933481153,
|
| 1230 |
+
"eval_f1": 0.5478723404255319,
|
| 1231 |
+
"eval_loss": 0.4108695983886719,
|
| 1232 |
+
"eval_precision": 0.8373983739837398,
|
| 1233 |
+
"eval_recall": 0.40711462450592883,
|
| 1234 |
+
"eval_runtime": 49.0091,
|
| 1235 |
+
"eval_samples_per_second": 5.632,
|
| 1236 |
+
"eval_steps_per_second": 0.184,
|
| 1237 |
+
"step": 160
|
| 1238 |
+
},
|
| 1239 |
+
{
|
| 1240 |
+
"epoch": 0.14935064935064934,
|
| 1241 |
+
"grad_norm": 3.5915067195892334,
|
| 1242 |
+
"learning_rate": 1.9853035858964907e-05,
|
| 1243 |
+
"loss": 0.2252,
|
| 1244 |
+
"step": 161
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 0.150278293135436,
|
| 1248 |
+
"grad_norm": 3.297874927520752,
|
| 1249 |
+
"learning_rate": 1.9847451999183692e-05,
|
| 1250 |
+
"loss": 0.2025,
|
| 1251 |
+
"step": 162
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 0.15120593692022263,
|
| 1255 |
+
"grad_norm": 7.80188512802124,
|
| 1256 |
+
"learning_rate": 1.9841764844290744e-05,
|
| 1257 |
+
"loss": 0.3563,
|
| 1258 |
+
"step": 163
|
| 1259 |
+
},
|
| 1260 |
+
{
|
| 1261 |
+
"epoch": 0.15213358070500926,
|
| 1262 |
+
"grad_norm": 4.962357044219971,
|
| 1263 |
+
"learning_rate": 1.9835974453941623e-05,
|
| 1264 |
+
"loss": 0.2331,
|
| 1265 |
+
"step": 164
|
| 1266 |
+
},
|
| 1267 |
+
{
|
| 1268 |
+
"epoch": 0.15306122448979592,
|
| 1269 |
+
"grad_norm": 4.794024467468262,
|
| 1270 |
+
"learning_rate": 1.983008088887478e-05,
|
| 1271 |
+
"loss": 0.2759,
|
| 1272 |
+
"step": 165
|
| 1273 |
+
},
|
| 1274 |
+
{
|
| 1275 |
+
"epoch": 0.15398886827458255,
|
| 1276 |
+
"grad_norm": 5.007259368896484,
|
| 1277 |
+
"learning_rate": 1.9824084210910924e-05,
|
| 1278 |
+
"loss": 0.1732,
|
| 1279 |
+
"step": 166
|
| 1280 |
+
},
|
| 1281 |
+
{
|
| 1282 |
+
"epoch": 0.1549165120593692,
|
| 1283 |
+
"grad_norm": 4.154080390930176,
|
| 1284 |
+
"learning_rate": 1.9817984482952378e-05,
|
| 1285 |
+
"loss": 0.199,
|
| 1286 |
+
"step": 167
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 0.15584415584415584,
|
| 1290 |
+
"grad_norm": 5.933828830718994,
|
| 1291 |
+
"learning_rate": 1.9811781768982392e-05,
|
| 1292 |
+
"loss": 0.3237,
|
| 1293 |
+
"step": 168
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"epoch": 0.1567717996289425,
|
| 1297 |
+
"grad_norm": 4.5709943771362305,
|
| 1298 |
+
"learning_rate": 1.980547613406451e-05,
|
| 1299 |
+
"loss": 0.2356,
|
| 1300 |
+
"step": 169
|
| 1301 |
+
},
|
| 1302 |
+
{
|
| 1303 |
+
"epoch": 0.15769944341372913,
|
| 1304 |
+
"grad_norm": 4.232250690460205,
|
| 1305 |
+
"learning_rate": 1.9799067644341844e-05,
|
| 1306 |
+
"loss": 0.2318,
|
| 1307 |
+
"step": 170
|
| 1308 |
+
},
|
| 1309 |
+
{
|
| 1310 |
+
"epoch": 0.15862708719851576,
|
| 1311 |
+
"grad_norm": 5.491664886474609,
|
| 1312 |
+
"learning_rate": 1.9792556367036432e-05,
|
| 1313 |
+
"loss": 0.2551,
|
| 1314 |
+
"step": 171
|
| 1315 |
+
},
|
| 1316 |
+
{
|
| 1317 |
+
"epoch": 0.15955473098330242,
|
| 1318 |
+
"grad_norm": 3.584186315536499,
|
| 1319 |
+
"learning_rate": 1.978594237044849e-05,
|
| 1320 |
+
"loss": 0.1733,
|
| 1321 |
+
"step": 172
|
| 1322 |
+
},
|
| 1323 |
+
{
|
| 1324 |
+
"epoch": 0.16048237476808905,
|
| 1325 |
+
"grad_norm": 2.8872857093811035,
|
| 1326 |
+
"learning_rate": 1.977922572395571e-05,
|
| 1327 |
+
"loss": 0.2076,
|
| 1328 |
+
"step": 173
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 0.1614100185528757,
|
| 1332 |
+
"grad_norm": 4.199950695037842,
|
| 1333 |
+
"learning_rate": 1.977240649801253e-05,
|
| 1334 |
+
"loss": 0.2076,
|
| 1335 |
+
"step": 174
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 0.16233766233766234,
|
| 1339 |
+
"grad_norm": 3.1421799659729004,
|
| 1340 |
+
"learning_rate": 1.9765484764149413e-05,
|
| 1341 |
+
"loss": 0.2281,
|
| 1342 |
+
"step": 175
|
| 1343 |
+
},
|
| 1344 |
+
{
|
| 1345 |
+
"epoch": 0.16326530612244897,
|
| 1346 |
+
"grad_norm": 4.832352638244629,
|
| 1347 |
+
"learning_rate": 1.9758460594972068e-05,
|
| 1348 |
+
"loss": 0.1834,
|
| 1349 |
+
"step": 176
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"epoch": 0.16419294990723562,
|
| 1353 |
+
"grad_norm": 2.8222384452819824,
|
| 1354 |
+
"learning_rate": 1.9751334064160708e-05,
|
| 1355 |
+
"loss": 0.1908,
|
| 1356 |
+
"step": 177
|
| 1357 |
+
},
|
| 1358 |
+
{
|
| 1359 |
+
"epoch": 0.16512059369202226,
|
| 1360 |
+
"grad_norm": 3.1630570888519287,
|
| 1361 |
+
"learning_rate": 1.9744105246469264e-05,
|
| 1362 |
+
"loss": 0.1962,
|
| 1363 |
+
"step": 178
|
| 1364 |
+
},
|
| 1365 |
+
{
|
| 1366 |
+
"epoch": 0.1660482374768089,
|
| 1367 |
+
"grad_norm": 3.811518669128418,
|
| 1368 |
+
"learning_rate": 1.9736774217724614e-05,
|
| 1369 |
+
"loss": 0.1786,
|
| 1370 |
+
"step": 179
|
| 1371 |
+
},
|
| 1372 |
+
{
|
| 1373 |
+
"epoch": 0.16697588126159554,
|
| 1374 |
+
"grad_norm": 4.223273754119873,
|
| 1375 |
+
"learning_rate": 1.9729341054825783e-05,
|
| 1376 |
+
"loss": 0.2153,
|
| 1377 |
+
"step": 180
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"epoch": 0.16697588126159554,
|
| 1381 |
+
"eval_accuracy": 0.8337028824833703,
|
| 1382 |
+
"eval_f1": 0.6268656716417911,
|
| 1383 |
+
"eval_loss": 0.37183114886283875,
|
| 1384 |
+
"eval_precision": 0.8456375838926175,
|
| 1385 |
+
"eval_recall": 0.4980237154150198,
|
| 1386 |
+
"eval_runtime": 48.5694,
|
| 1387 |
+
"eval_samples_per_second": 5.683,
|
| 1388 |
+
"eval_steps_per_second": 0.185,
|
| 1389 |
+
"step": 180
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 0.1679035250463822,
|
| 1393 |
+
"grad_norm": 3.9425668716430664,
|
| 1394 |
+
"learning_rate": 1.972180583574313e-05,
|
| 1395 |
+
"loss": 0.1998,
|
| 1396 |
+
"step": 181
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"epoch": 0.16883116883116883,
|
| 1400 |
+
"grad_norm": 5.5068840980529785,
|
| 1401 |
+
"learning_rate": 1.9714168639517543e-05,
|
| 1402 |
+
"loss": 0.2466,
|
| 1403 |
+
"step": 182
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 0.16975881261595546,
|
| 1407 |
+
"grad_norm": 6.162604808807373,
|
| 1408 |
+
"learning_rate": 1.9706429546259592e-05,
|
| 1409 |
+
"loss": 0.163,
|
| 1410 |
+
"step": 183
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 0.17068645640074212,
|
| 1414 |
+
"grad_norm": 5.026734828948975,
|
| 1415 |
+
"learning_rate": 1.9698588637148705e-05,
|
| 1416 |
+
"loss": 0.275,
|
| 1417 |
+
"step": 184
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 0.17161410018552875,
|
| 1421 |
+
"grad_norm": 6.298387050628662,
|
| 1422 |
+
"learning_rate": 1.9690645994432307e-05,
|
| 1423 |
+
"loss": 0.1692,
|
| 1424 |
+
"step": 185
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 0.1725417439703154,
|
| 1428 |
+
"grad_norm": 5.307831287384033,
|
| 1429 |
+
"learning_rate": 1.9682601701424958e-05,
|
| 1430 |
+
"loss": 0.2499,
|
| 1431 |
+
"step": 186
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 0.17346938775510204,
|
| 1435 |
+
"grad_norm": 6.9988203048706055,
|
| 1436 |
+
"learning_rate": 1.9674455842507494e-05,
|
| 1437 |
+
"loss": 0.2434,
|
| 1438 |
+
"step": 187
|
| 1439 |
+
},
|
| 1440 |
+
{
|
| 1441 |
+
"epoch": 0.17439703153988867,
|
| 1442 |
+
"grad_norm": 4.128062725067139,
|
| 1443 |
+
"learning_rate": 1.9666208503126115e-05,
|
| 1444 |
+
"loss": 0.1976,
|
| 1445 |
+
"step": 188
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"epoch": 0.17532467532467533,
|
| 1449 |
+
"grad_norm": 3.3845396041870117,
|
| 1450 |
+
"learning_rate": 1.9657859769791506e-05,
|
| 1451 |
+
"loss": 0.1355,
|
| 1452 |
+
"step": 189
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"epoch": 0.17625231910946196,
|
| 1456 |
+
"grad_norm": 3.59576416015625,
|
| 1457 |
+
"learning_rate": 1.9649409730077934e-05,
|
| 1458 |
+
"loss": 0.2027,
|
| 1459 |
+
"step": 190
|
| 1460 |
+
},
|
| 1461 |
+
{
|
| 1462 |
+
"epoch": 0.17717996289424862,
|
| 1463 |
+
"grad_norm": 3.110616683959961,
|
| 1464 |
+
"learning_rate": 1.9640858472622316e-05,
|
| 1465 |
+
"loss": 0.2039,
|
| 1466 |
+
"step": 191
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 0.17810760667903525,
|
| 1470 |
+
"grad_norm": 3.8708298206329346,
|
| 1471 |
+
"learning_rate": 1.9632206087123296e-05,
|
| 1472 |
+
"loss": 0.2163,
|
| 1473 |
+
"step": 192
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 0.1790352504638219,
|
| 1477 |
+
"grad_norm": 5.087402820587158,
|
| 1478 |
+
"learning_rate": 1.9623452664340305e-05,
|
| 1479 |
+
"loss": 0.2631,
|
| 1480 |
+
"step": 193
|
| 1481 |
+
},
|
| 1482 |
+
{
|
| 1483 |
+
"epoch": 0.17996289424860853,
|
| 1484 |
+
"grad_norm": 3.7053322792053223,
|
| 1485 |
+
"learning_rate": 1.9614598296092603e-05,
|
| 1486 |
+
"loss": 0.2034,
|
| 1487 |
+
"step": 194
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 0.18089053803339517,
|
| 1491 |
+
"grad_norm": 4.846376419067383,
|
| 1492 |
+
"learning_rate": 1.9605643075258323e-05,
|
| 1493 |
+
"loss": 0.2071,
|
| 1494 |
+
"step": 195
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"epoch": 0.18181818181818182,
|
| 1498 |
+
"grad_norm": 3.7219040393829346,
|
| 1499 |
+
"learning_rate": 1.9596587095773496e-05,
|
| 1500 |
+
"loss": 0.2516,
|
| 1501 |
+
"step": 196
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 0.18274582560296845,
|
| 1505 |
+
"grad_norm": 5.604904651641846,
|
| 1506 |
+
"learning_rate": 1.958743045263106e-05,
|
| 1507 |
+
"loss": 0.2076,
|
| 1508 |
+
"step": 197
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 0.1836734693877551,
|
| 1512 |
+
"grad_norm": 2.9652745723724365,
|
| 1513 |
+
"learning_rate": 1.957817324187987e-05,
|
| 1514 |
+
"loss": 0.1752,
|
| 1515 |
+
"step": 198
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 0.18460111317254174,
|
| 1519 |
+
"grad_norm": 4.468489646911621,
|
| 1520 |
+
"learning_rate": 1.956881556062369e-05,
|
| 1521 |
+
"loss": 0.2177,
|
| 1522 |
+
"step": 199
|
| 1523 |
+
},
|
| 1524 |
+
{
|
| 1525 |
+
"epoch": 0.18552875695732837,
|
| 1526 |
+
"grad_norm": 4.231448173522949,
|
| 1527 |
+
"learning_rate": 1.9559357507020163e-05,
|
| 1528 |
+
"loss": 0.1638,
|
| 1529 |
+
"step": 200
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 0.18552875695732837,
|
| 1533 |
+
"eval_accuracy": 0.8237250554323725,
|
| 1534 |
+
"eval_f1": 0.5826771653543307,
|
| 1535 |
+
"eval_loss": 0.36573752760887146,
|
| 1536 |
+
"eval_precision": 0.8671875,
|
| 1537 |
+
"eval_recall": 0.43873517786561267,
|
| 1538 |
+
"eval_runtime": 49.5575,
|
| 1539 |
+
"eval_samples_per_second": 5.569,
|
| 1540 |
+
"eval_steps_per_second": 0.182,
|
| 1541 |
+
"step": 200
|
| 1542 |
}
|
| 1543 |
],
|
| 1544 |
"logging_steps": 1,
|
|
|
|
| 1558 |
"attributes": {}
|
| 1559 |
}
|
| 1560 |
},
|
| 1561 |
+
"total_flos": 6.403110712901632e+16,
|
| 1562 |
"train_batch_size": 8,
|
| 1563 |
"trial_name": null,
|
| 1564 |
"trial_params": null
|