Training in progress, step 300, 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 sha256:0828710b640dbf68298e27271b529b25b9633dd7711dad19568b25686b79955f
|
| 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 sha256:09c7ac02ae4e3a773215b98acf254fe48c4e7de8555cfc804e4c8564253462d5
|
| 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 sha256:9fe68aa5543c7e1858414222033d21efd3626ac60315b4e8919cae752773097c
|
| 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 sha256:29b26a714efa8d1e7798d4d1a8c5ead91c9c253836ae76c8074e3b2d998b12ff
|
| 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:c95f08281fb03852e4519ff6aa382f5c90ec236a0542a483b82c72cfa5ad848e
|
| 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:dae344d3faf7510fb590a7e7eaf2cfc188c6927842e743a0272a1df1c56f789d
|
| 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:d105c6f274366380374e805d8adf2ea780c3fcbf468ed3da0d30d931fdfebac8
|
| 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 sha256:94b26738ea842513efa4609b1427f3c23b0d37d48ad0efdbd4bd1f4842bfb006
|
| 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:e68dcb3ef0e8b7c7d625ab213042156e023f2a245865d688db9dd4fe92f207dc
|
| 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 sha256:45b214c4a5ffd153814b8b271cfd3ef9fa8c2be4640619c8e4854dc05d7d1c97
|
| 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 sha256:96a5e4dab35f0ee0b3a7f32c0e07341ebe72be8848c24cfaf9766b3fa46c7222
|
| 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 sha256:8b62411f66602767298f963adc60824709fbed6ee64305b82501b466a1c44c9e
|
| 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:c8d986f9845c2c79697397af5a78c52fea0f5eb71ebc653676ec6d3ab1848325
|
| 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,
|
|
@@ -1539,6 +1539,766 @@
|
|
| 1539 |
"eval_samples_per_second": 5.74,
|
| 1540 |
"eval_steps_per_second": 0.193,
|
| 1541 |
"step": 200
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1542 |
}
|
| 1543 |
],
|
| 1544 |
"logging_steps": 1,
|
|
@@ -1558,7 +2318,7 @@
|
|
| 1558 |
"attributes": {}
|
| 1559 |
}
|
| 1560 |
},
|
| 1561 |
-
"total_flos":
|
| 1562 |
"train_batch_size": 8,
|
| 1563 |
"trial_name": null,
|
| 1564 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.2029769959404601,
|
| 5 |
"eval_steps": 20,
|
| 6 |
+
"global_step": 300,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 1539 |
"eval_samples_per_second": 5.74,
|
| 1540 |
"eval_steps_per_second": 0.193,
|
| 1541 |
"step": 200
|
| 1542 |
+
},
|
| 1543 |
+
{
|
| 1544 |
+
"epoch": 0.13599458728010824,
|
| 1545 |
+
"grad_norm": 2.476130247116089,
|
| 1546 |
+
"learning_rate": 1.9921738005215687e-05,
|
| 1547 |
+
"loss": 0.0617,
|
| 1548 |
+
"step": 201
|
| 1549 |
+
},
|
| 1550 |
+
{
|
| 1551 |
+
"epoch": 0.13667117726657646,
|
| 1552 |
+
"grad_norm": 7.735743045806885,
|
| 1553 |
+
"learning_rate": 1.9918760904111818e-05,
|
| 1554 |
+
"loss": 0.252,
|
| 1555 |
+
"step": 202
|
| 1556 |
+
},
|
| 1557 |
+
{
|
| 1558 |
+
"epoch": 0.13734776725304465,
|
| 1559 |
+
"grad_norm": 3.769490957260132,
|
| 1560 |
+
"learning_rate": 1.991572846115666e-05,
|
| 1561 |
+
"loss": 0.1439,
|
| 1562 |
+
"step": 203
|
| 1563 |
+
},
|
| 1564 |
+
{
|
| 1565 |
+
"epoch": 0.13802435723951287,
|
| 1566 |
+
"grad_norm": 4.381724834442139,
|
| 1567 |
+
"learning_rate": 1.9912640693269754e-05,
|
| 1568 |
+
"loss": 0.2143,
|
| 1569 |
+
"step": 204
|
| 1570 |
+
},
|
| 1571 |
+
{
|
| 1572 |
+
"epoch": 0.13870094722598106,
|
| 1573 |
+
"grad_norm": 3.511615037918091,
|
| 1574 |
+
"learning_rate": 1.990949761767935e-05,
|
| 1575 |
+
"loss": 0.1747,
|
| 1576 |
+
"step": 205
|
| 1577 |
+
},
|
| 1578 |
+
{
|
| 1579 |
+
"epoch": 0.13937753721244925,
|
| 1580 |
+
"grad_norm": 5.647243499755859,
|
| 1581 |
+
"learning_rate": 1.9906299251922273e-05,
|
| 1582 |
+
"loss": 0.1904,
|
| 1583 |
+
"step": 206
|
| 1584 |
+
},
|
| 1585 |
+
{
|
| 1586 |
+
"epoch": 0.14005412719891747,
|
| 1587 |
+
"grad_norm": 3.9160757064819336,
|
| 1588 |
+
"learning_rate": 1.9903045613843844e-05,
|
| 1589 |
+
"loss": 0.1816,
|
| 1590 |
+
"step": 207
|
| 1591 |
+
},
|
| 1592 |
+
{
|
| 1593 |
+
"epoch": 0.14073071718538566,
|
| 1594 |
+
"grad_norm": 5.033432483673096,
|
| 1595 |
+
"learning_rate": 1.9899736721597787e-05,
|
| 1596 |
+
"loss": 0.141,
|
| 1597 |
+
"step": 208
|
| 1598 |
+
},
|
| 1599 |
+
{
|
| 1600 |
+
"epoch": 0.14140730717185385,
|
| 1601 |
+
"grad_norm": 4.042255401611328,
|
| 1602 |
+
"learning_rate": 1.9896372593646095e-05,
|
| 1603 |
+
"loss": 0.2043,
|
| 1604 |
+
"step": 209
|
| 1605 |
+
},
|
| 1606 |
+
{
|
| 1607 |
+
"epoch": 0.14208389715832206,
|
| 1608 |
+
"grad_norm": 7.3899149894714355,
|
| 1609 |
+
"learning_rate": 1.989295324875897e-05,
|
| 1610 |
+
"loss": 0.2182,
|
| 1611 |
+
"step": 210
|
| 1612 |
+
},
|
| 1613 |
+
{
|
| 1614 |
+
"epoch": 0.14276048714479025,
|
| 1615 |
+
"grad_norm": 9.090564727783203,
|
| 1616 |
+
"learning_rate": 1.9889478706014687e-05,
|
| 1617 |
+
"loss": 0.2333,
|
| 1618 |
+
"step": 211
|
| 1619 |
+
},
|
| 1620 |
+
{
|
| 1621 |
+
"epoch": 0.14343707713125844,
|
| 1622 |
+
"grad_norm": 4.3934526443481445,
|
| 1623 |
+
"learning_rate": 1.9885948984799502e-05,
|
| 1624 |
+
"loss": 0.2836,
|
| 1625 |
+
"step": 212
|
| 1626 |
+
},
|
| 1627 |
+
{
|
| 1628 |
+
"epoch": 0.14411366711772666,
|
| 1629 |
+
"grad_norm": 3.89416766166687,
|
| 1630 |
+
"learning_rate": 1.9882364104807536e-05,
|
| 1631 |
+
"loss": 0.2256,
|
| 1632 |
+
"step": 213
|
| 1633 |
+
},
|
| 1634 |
+
{
|
| 1635 |
+
"epoch": 0.14479025710419485,
|
| 1636 |
+
"grad_norm": 6.6705241203308105,
|
| 1637 |
+
"learning_rate": 1.987872408604068e-05,
|
| 1638 |
+
"loss": 0.2007,
|
| 1639 |
+
"step": 214
|
| 1640 |
+
},
|
| 1641 |
+
{
|
| 1642 |
+
"epoch": 0.14546684709066307,
|
| 1643 |
+
"grad_norm": 9.201639175415039,
|
| 1644 |
+
"learning_rate": 1.9875028948808457e-05,
|
| 1645 |
+
"loss": 0.217,
|
| 1646 |
+
"step": 215
|
| 1647 |
+
},
|
| 1648 |
+
{
|
| 1649 |
+
"epoch": 0.14614343707713126,
|
| 1650 |
+
"grad_norm": 3.3696377277374268,
|
| 1651 |
+
"learning_rate": 1.9871278713727932e-05,
|
| 1652 |
+
"loss": 0.1132,
|
| 1653 |
+
"step": 216
|
| 1654 |
+
},
|
| 1655 |
+
{
|
| 1656 |
+
"epoch": 0.14682002706359945,
|
| 1657 |
+
"grad_norm": 3.9588944911956787,
|
| 1658 |
+
"learning_rate": 1.9867473401723595e-05,
|
| 1659 |
+
"loss": 0.2086,
|
| 1660 |
+
"step": 217
|
| 1661 |
+
},
|
| 1662 |
+
{
|
| 1663 |
+
"epoch": 0.14749661705006767,
|
| 1664 |
+
"grad_norm": 5.10556173324585,
|
| 1665 |
+
"learning_rate": 1.9863613034027224e-05,
|
| 1666 |
+
"loss": 0.1367,
|
| 1667 |
+
"step": 218
|
| 1668 |
+
},
|
| 1669 |
+
{
|
| 1670 |
+
"epoch": 0.14817320703653586,
|
| 1671 |
+
"grad_norm": 3.8839104175567627,
|
| 1672 |
+
"learning_rate": 1.9859697632177796e-05,
|
| 1673 |
+
"loss": 0.1882,
|
| 1674 |
+
"step": 219
|
| 1675 |
+
},
|
| 1676 |
+
{
|
| 1677 |
+
"epoch": 0.14884979702300405,
|
| 1678 |
+
"grad_norm": 3.7395753860473633,
|
| 1679 |
+
"learning_rate": 1.985572721802134e-05,
|
| 1680 |
+
"loss": 0.1228,
|
| 1681 |
+
"step": 220
|
| 1682 |
+
},
|
| 1683 |
+
{
|
| 1684 |
+
"epoch": 0.14884979702300405,
|
| 1685 |
+
"eval_accuracy": 0.763302752293578,
|
| 1686 |
+
"eval_f1": 0.3316062176165803,
|
| 1687 |
+
"eval_loss": 0.49911028146743774,
|
| 1688 |
+
"eval_precision": 0.7272727272727273,
|
| 1689 |
+
"eval_recall": 0.21476510067114093,
|
| 1690 |
+
"eval_runtime": 53.4724,
|
| 1691 |
+
"eval_samples_per_second": 5.573,
|
| 1692 |
+
"eval_steps_per_second": 0.187,
|
| 1693 |
+
"step": 220
|
| 1694 |
+
},
|
| 1695 |
+
{
|
| 1696 |
+
"epoch": 0.14952638700947227,
|
| 1697 |
+
"grad_norm": 2.52254056930542,
|
| 1698 |
+
"learning_rate": 1.9851701813710838e-05,
|
| 1699 |
+
"loss": 0.1429,
|
| 1700 |
+
"step": 221
|
| 1701 |
+
},
|
| 1702 |
+
{
|
| 1703 |
+
"epoch": 0.15020297699594046,
|
| 1704 |
+
"grad_norm": 2.212614059448242,
|
| 1705 |
+
"learning_rate": 1.9847621441706076e-05,
|
| 1706 |
+
"loss": 0.0924,
|
| 1707 |
+
"step": 222
|
| 1708 |
+
},
|
| 1709 |
+
{
|
| 1710 |
+
"epoch": 0.15087956698240865,
|
| 1711 |
+
"grad_norm": 5.361288547515869,
|
| 1712 |
+
"learning_rate": 1.9843486124773546e-05,
|
| 1713 |
+
"loss": 0.1915,
|
| 1714 |
+
"step": 223
|
| 1715 |
+
},
|
| 1716 |
+
{
|
| 1717 |
+
"epoch": 0.15155615696887687,
|
| 1718 |
+
"grad_norm": 5.06777286529541,
|
| 1719 |
+
"learning_rate": 1.98392958859863e-05,
|
| 1720 |
+
"loss": 0.2049,
|
| 1721 |
+
"step": 224
|
| 1722 |
+
},
|
| 1723 |
+
{
|
| 1724 |
+
"epoch": 0.15223274695534506,
|
| 1725 |
+
"grad_norm": 2.5112369060516357,
|
| 1726 |
+
"learning_rate": 1.9835050748723826e-05,
|
| 1727 |
+
"loss": 0.1132,
|
| 1728 |
+
"step": 225
|
| 1729 |
+
},
|
| 1730 |
+
{
|
| 1731 |
+
"epoch": 0.15290933694181327,
|
| 1732 |
+
"grad_norm": 3.829697847366333,
|
| 1733 |
+
"learning_rate": 1.9830750736671923e-05,
|
| 1734 |
+
"loss": 0.1766,
|
| 1735 |
+
"step": 226
|
| 1736 |
+
},
|
| 1737 |
+
{
|
| 1738 |
+
"epoch": 0.15358592692828146,
|
| 1739 |
+
"grad_norm": 6.517053604125977,
|
| 1740 |
+
"learning_rate": 1.982639587382256e-05,
|
| 1741 |
+
"loss": 0.2742,
|
| 1742 |
+
"step": 227
|
| 1743 |
+
},
|
| 1744 |
+
{
|
| 1745 |
+
"epoch": 0.15426251691474965,
|
| 1746 |
+
"grad_norm": 3.8287339210510254,
|
| 1747 |
+
"learning_rate": 1.9821986184473757e-05,
|
| 1748 |
+
"loss": 0.1686,
|
| 1749 |
+
"step": 228
|
| 1750 |
+
},
|
| 1751 |
+
{
|
| 1752 |
+
"epoch": 0.15493910690121787,
|
| 1753 |
+
"grad_norm": 3.6989524364471436,
|
| 1754 |
+
"learning_rate": 1.981752169322942e-05,
|
| 1755 |
+
"loss": 0.1286,
|
| 1756 |
+
"step": 229
|
| 1757 |
+
},
|
| 1758 |
+
{
|
| 1759 |
+
"epoch": 0.15561569688768606,
|
| 1760 |
+
"grad_norm": 4.2301788330078125,
|
| 1761 |
+
"learning_rate": 1.981300242499924e-05,
|
| 1762 |
+
"loss": 0.1242,
|
| 1763 |
+
"step": 230
|
| 1764 |
+
},
|
| 1765 |
+
{
|
| 1766 |
+
"epoch": 0.15629228687415425,
|
| 1767 |
+
"grad_norm": 5.749031066894531,
|
| 1768 |
+
"learning_rate": 1.9808428404998532e-05,
|
| 1769 |
+
"loss": 0.2348,
|
| 1770 |
+
"step": 231
|
| 1771 |
+
},
|
| 1772 |
+
{
|
| 1773 |
+
"epoch": 0.15696887686062247,
|
| 1774 |
+
"grad_norm": 4.1858744621276855,
|
| 1775 |
+
"learning_rate": 1.9803799658748096e-05,
|
| 1776 |
+
"loss": 0.1809,
|
| 1777 |
+
"step": 232
|
| 1778 |
+
},
|
| 1779 |
+
{
|
| 1780 |
+
"epoch": 0.15764546684709066,
|
| 1781 |
+
"grad_norm": 2.808894157409668,
|
| 1782 |
+
"learning_rate": 1.9799116212074077e-05,
|
| 1783 |
+
"loss": 0.1228,
|
| 1784 |
+
"step": 233
|
| 1785 |
+
},
|
| 1786 |
+
{
|
| 1787 |
+
"epoch": 0.15832205683355885,
|
| 1788 |
+
"grad_norm": 4.898924350738525,
|
| 1789 |
+
"learning_rate": 1.9794378091107834e-05,
|
| 1790 |
+
"loss": 0.1964,
|
| 1791 |
+
"step": 234
|
| 1792 |
+
},
|
| 1793 |
+
{
|
| 1794 |
+
"epoch": 0.15899864682002707,
|
| 1795 |
+
"grad_norm": 4.328680038452148,
|
| 1796 |
+
"learning_rate": 1.978958532228576e-05,
|
| 1797 |
+
"loss": 0.1566,
|
| 1798 |
+
"step": 235
|
| 1799 |
+
},
|
| 1800 |
+
{
|
| 1801 |
+
"epoch": 0.15967523680649526,
|
| 1802 |
+
"grad_norm": 4.020467758178711,
|
| 1803 |
+
"learning_rate": 1.978473793234918e-05,
|
| 1804 |
+
"loss": 0.2254,
|
| 1805 |
+
"step": 236
|
| 1806 |
+
},
|
| 1807 |
+
{
|
| 1808 |
+
"epoch": 0.16035182679296348,
|
| 1809 |
+
"grad_norm": 2.9529521465301514,
|
| 1810 |
+
"learning_rate": 1.977983594834416e-05,
|
| 1811 |
+
"loss": 0.1425,
|
| 1812 |
+
"step": 237
|
| 1813 |
+
},
|
| 1814 |
+
{
|
| 1815 |
+
"epoch": 0.16102841677943167,
|
| 1816 |
+
"grad_norm": 3.5832724571228027,
|
| 1817 |
+
"learning_rate": 1.9774879397621387e-05,
|
| 1818 |
+
"loss": 0.1848,
|
| 1819 |
+
"step": 238
|
| 1820 |
+
},
|
| 1821 |
+
{
|
| 1822 |
+
"epoch": 0.16170500676589986,
|
| 1823 |
+
"grad_norm": 6.061310768127441,
|
| 1824 |
+
"learning_rate": 1.9769868307835996e-05,
|
| 1825 |
+
"loss": 0.1344,
|
| 1826 |
+
"step": 239
|
| 1827 |
+
},
|
| 1828 |
+
{
|
| 1829 |
+
"epoch": 0.16238159675236807,
|
| 1830 |
+
"grad_norm": 4.559755325317383,
|
| 1831 |
+
"learning_rate": 1.9764802706947423e-05,
|
| 1832 |
+
"loss": 0.1678,
|
| 1833 |
+
"step": 240
|
| 1834 |
+
},
|
| 1835 |
+
{
|
| 1836 |
+
"epoch": 0.16238159675236807,
|
| 1837 |
+
"eval_accuracy": 0.763302752293578,
|
| 1838 |
+
"eval_f1": 0.32105263157894737,
|
| 1839 |
+
"eval_loss": 0.5306172966957092,
|
| 1840 |
+
"eval_precision": 0.7439024390243902,
|
| 1841 |
+
"eval_recall": 0.20469798657718122,
|
| 1842 |
+
"eval_runtime": 52.6664,
|
| 1843 |
+
"eval_samples_per_second": 5.658,
|
| 1844 |
+
"eval_steps_per_second": 0.19,
|
| 1845 |
+
"step": 240
|
| 1846 |
+
},
|
| 1847 |
+
{
|
| 1848 |
+
"epoch": 0.16305818673883626,
|
| 1849 |
+
"grad_norm": 4.202253818511963,
|
| 1850 |
+
"learning_rate": 1.975968262321925e-05,
|
| 1851 |
+
"loss": 0.1828,
|
| 1852 |
+
"step": 241
|
| 1853 |
+
},
|
| 1854 |
+
{
|
| 1855 |
+
"epoch": 0.16373477672530445,
|
| 1856 |
+
"grad_norm": 4.026851654052734,
|
| 1857 |
+
"learning_rate": 1.9754508085219057e-05,
|
| 1858 |
+
"loss": 0.2173,
|
| 1859 |
+
"step": 242
|
| 1860 |
+
},
|
| 1861 |
+
{
|
| 1862 |
+
"epoch": 0.16441136671177267,
|
| 1863 |
+
"grad_norm": 3.136077404022217,
|
| 1864 |
+
"learning_rate": 1.9749279121818235e-05,
|
| 1865 |
+
"loss": 0.1614,
|
| 1866 |
+
"step": 243
|
| 1867 |
+
},
|
| 1868 |
+
{
|
| 1869 |
+
"epoch": 0.16508795669824086,
|
| 1870 |
+
"grad_norm": 3.726810932159424,
|
| 1871 |
+
"learning_rate": 1.974399576219186e-05,
|
| 1872 |
+
"loss": 0.1667,
|
| 1873 |
+
"step": 244
|
| 1874 |
+
},
|
| 1875 |
+
{
|
| 1876 |
+
"epoch": 0.16576454668470908,
|
| 1877 |
+
"grad_norm": 5.430721282958984,
|
| 1878 |
+
"learning_rate": 1.9738658035818495e-05,
|
| 1879 |
+
"loss": 0.2158,
|
| 1880 |
+
"step": 245
|
| 1881 |
+
},
|
| 1882 |
+
{
|
| 1883 |
+
"epoch": 0.16644113667117727,
|
| 1884 |
+
"grad_norm": 2.940300226211548,
|
| 1885 |
+
"learning_rate": 1.973326597248006e-05,
|
| 1886 |
+
"loss": 0.1664,
|
| 1887 |
+
"step": 246
|
| 1888 |
+
},
|
| 1889 |
+
{
|
| 1890 |
+
"epoch": 0.16711772665764546,
|
| 1891 |
+
"grad_norm": 3.436058282852173,
|
| 1892 |
+
"learning_rate": 1.972781960226163e-05,
|
| 1893 |
+
"loss": 0.1944,
|
| 1894 |
+
"step": 247
|
| 1895 |
+
},
|
| 1896 |
+
{
|
| 1897 |
+
"epoch": 0.16779431664411368,
|
| 1898 |
+
"grad_norm": 3.708514928817749,
|
| 1899 |
+
"learning_rate": 1.9722318955551307e-05,
|
| 1900 |
+
"loss": 0.1869,
|
| 1901 |
+
"step": 248
|
| 1902 |
+
},
|
| 1903 |
+
{
|
| 1904 |
+
"epoch": 0.16847090663058187,
|
| 1905 |
+
"grad_norm": 5.172970771789551,
|
| 1906 |
+
"learning_rate": 1.971676406304001e-05,
|
| 1907 |
+
"loss": 0.219,
|
| 1908 |
+
"step": 249
|
| 1909 |
+
},
|
| 1910 |
+
{
|
| 1911 |
+
"epoch": 0.16914749661705006,
|
| 1912 |
+
"grad_norm": 4.198179721832275,
|
| 1913 |
+
"learning_rate": 1.9711154955721338e-05,
|
| 1914 |
+
"loss": 0.1606,
|
| 1915 |
+
"step": 250
|
| 1916 |
+
},
|
| 1917 |
+
{
|
| 1918 |
+
"epoch": 0.16982408660351828,
|
| 1919 |
+
"grad_norm": 4.068305969238281,
|
| 1920 |
+
"learning_rate": 1.9705491664891368e-05,
|
| 1921 |
+
"loss": 0.1952,
|
| 1922 |
+
"step": 251
|
| 1923 |
+
},
|
| 1924 |
+
{
|
| 1925 |
+
"epoch": 0.17050067658998647,
|
| 1926 |
+
"grad_norm": 4.898702144622803,
|
| 1927 |
+
"learning_rate": 1.969977422214851e-05,
|
| 1928 |
+
"loss": 0.1904,
|
| 1929 |
+
"step": 252
|
| 1930 |
+
},
|
| 1931 |
+
{
|
| 1932 |
+
"epoch": 0.17117726657645466,
|
| 1933 |
+
"grad_norm": 3.666128158569336,
|
| 1934 |
+
"learning_rate": 1.9694002659393306e-05,
|
| 1935 |
+
"loss": 0.177,
|
| 1936 |
+
"step": 253
|
| 1937 |
+
},
|
| 1938 |
+
{
|
| 1939 |
+
"epoch": 0.17185385656292287,
|
| 1940 |
+
"grad_norm": 3.7936861515045166,
|
| 1941 |
+
"learning_rate": 1.968817700882826e-05,
|
| 1942 |
+
"loss": 0.1003,
|
| 1943 |
+
"step": 254
|
| 1944 |
+
},
|
| 1945 |
+
{
|
| 1946 |
+
"epoch": 0.17253044654939106,
|
| 1947 |
+
"grad_norm": 3.3366808891296387,
|
| 1948 |
+
"learning_rate": 1.9682297302957666e-05,
|
| 1949 |
+
"loss": 0.1729,
|
| 1950 |
+
"step": 255
|
| 1951 |
+
},
|
| 1952 |
+
{
|
| 1953 |
+
"epoch": 0.17320703653585928,
|
| 1954 |
+
"grad_norm": 4.625013828277588,
|
| 1955 |
+
"learning_rate": 1.9676363574587414e-05,
|
| 1956 |
+
"loss": 0.2212,
|
| 1957 |
+
"step": 256
|
| 1958 |
+
},
|
| 1959 |
+
{
|
| 1960 |
+
"epoch": 0.17388362652232747,
|
| 1961 |
+
"grad_norm": 4.048298358917236,
|
| 1962 |
+
"learning_rate": 1.9670375856824823e-05,
|
| 1963 |
+
"loss": 0.1301,
|
| 1964 |
+
"step": 257
|
| 1965 |
+
},
|
| 1966 |
+
{
|
| 1967 |
+
"epoch": 0.17456021650879566,
|
| 1968 |
+
"grad_norm": 3.388268232345581,
|
| 1969 |
+
"learning_rate": 1.966433418307843e-05,
|
| 1970 |
+
"loss": 0.091,
|
| 1971 |
+
"step": 258
|
| 1972 |
+
},
|
| 1973 |
+
{
|
| 1974 |
+
"epoch": 0.17523680649526388,
|
| 1975 |
+
"grad_norm": 3.287910223007202,
|
| 1976 |
+
"learning_rate": 1.9658238587057832e-05,
|
| 1977 |
+
"loss": 0.1748,
|
| 1978 |
+
"step": 259
|
| 1979 |
+
},
|
| 1980 |
+
{
|
| 1981 |
+
"epoch": 0.17591339648173207,
|
| 1982 |
+
"grad_norm": 4.814307689666748,
|
| 1983 |
+
"learning_rate": 1.9652089102773487e-05,
|
| 1984 |
+
"loss": 0.2111,
|
| 1985 |
+
"step": 260
|
| 1986 |
+
},
|
| 1987 |
+
{
|
| 1988 |
+
"epoch": 0.17591339648173207,
|
| 1989 |
+
"eval_accuracy": 0.763302752293578,
|
| 1990 |
+
"eval_f1": 0.29120879120879123,
|
| 1991 |
+
"eval_loss": 0.5758374333381653,
|
| 1992 |
+
"eval_precision": 0.803030303030303,
|
| 1993 |
+
"eval_recall": 0.17785234899328858,
|
| 1994 |
+
"eval_runtime": 52.5901,
|
| 1995 |
+
"eval_samples_per_second": 5.666,
|
| 1996 |
+
"eval_steps_per_second": 0.19,
|
| 1997 |
+
"step": 260
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"epoch": 0.17658998646820026,
|
| 2001 |
+
"grad_norm": 6.4831461906433105,
|
| 2002 |
+
"learning_rate": 1.9645885764536522e-05,
|
| 2003 |
+
"loss": 0.2182,
|
| 2004 |
+
"step": 261
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 0.17726657645466848,
|
| 2008 |
+
"grad_norm": 6.477516174316406,
|
| 2009 |
+
"learning_rate": 1.9639628606958535e-05,
|
| 2010 |
+
"loss": 0.2462,
|
| 2011 |
+
"step": 262
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"epoch": 0.17794316644113667,
|
| 2015 |
+
"grad_norm": 3.73384690284729,
|
| 2016 |
+
"learning_rate": 1.9633317664951418e-05,
|
| 2017 |
+
"loss": 0.1425,
|
| 2018 |
+
"step": 263
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 0.17861975642760486,
|
| 2022 |
+
"grad_norm": 4.063915252685547,
|
| 2023 |
+
"learning_rate": 1.962695297372715e-05,
|
| 2024 |
+
"loss": 0.1388,
|
| 2025 |
+
"step": 264
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 0.17929634641407308,
|
| 2029 |
+
"grad_norm": 4.379425048828125,
|
| 2030 |
+
"learning_rate": 1.962053456879761e-05,
|
| 2031 |
+
"loss": 0.1929,
|
| 2032 |
+
"step": 265
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"epoch": 0.17997293640054127,
|
| 2036 |
+
"grad_norm": 3.696601629257202,
|
| 2037 |
+
"learning_rate": 1.9614062485974364e-05,
|
| 2038 |
+
"loss": 0.1795,
|
| 2039 |
+
"step": 266
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"epoch": 0.18064952638700948,
|
| 2043 |
+
"grad_norm": 4.814270973205566,
|
| 2044 |
+
"learning_rate": 1.9607536761368484e-05,
|
| 2045 |
+
"loss": 0.1906,
|
| 2046 |
+
"step": 267
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 0.18132611637347767,
|
| 2050 |
+
"grad_norm": 4.517858028411865,
|
| 2051 |
+
"learning_rate": 1.960095743139033e-05,
|
| 2052 |
+
"loss": 0.1902,
|
| 2053 |
+
"step": 268
|
| 2054 |
+
},
|
| 2055 |
+
{
|
| 2056 |
+
"epoch": 0.18200270635994586,
|
| 2057 |
+
"grad_norm": 4.473437309265137,
|
| 2058 |
+
"learning_rate": 1.9594324532749353e-05,
|
| 2059 |
+
"loss": 0.1581,
|
| 2060 |
+
"step": 269
|
| 2061 |
+
},
|
| 2062 |
+
{
|
| 2063 |
+
"epoch": 0.18267929634641408,
|
| 2064 |
+
"grad_norm": 6.359562873840332,
|
| 2065 |
+
"learning_rate": 1.95876381024539e-05,
|
| 2066 |
+
"loss": 0.2641,
|
| 2067 |
+
"step": 270
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 0.18335588633288227,
|
| 2071 |
+
"grad_norm": 5.020825386047363,
|
| 2072 |
+
"learning_rate": 1.958089817781099e-05,
|
| 2073 |
+
"loss": 0.1734,
|
| 2074 |
+
"step": 271
|
| 2075 |
+
},
|
| 2076 |
+
{
|
| 2077 |
+
"epoch": 0.18403247631935046,
|
| 2078 |
+
"grad_norm": 5.725416660308838,
|
| 2079 |
+
"learning_rate": 1.9574104796426124e-05,
|
| 2080 |
+
"loss": 0.2771,
|
| 2081 |
+
"step": 272
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 0.18470906630581868,
|
| 2085 |
+
"grad_norm": 3.2466204166412354,
|
| 2086 |
+
"learning_rate": 1.956725799620305e-05,
|
| 2087 |
+
"loss": 0.1493,
|
| 2088 |
+
"step": 273
|
| 2089 |
+
},
|
| 2090 |
+
{
|
| 2091 |
+
"epoch": 0.18538565629228687,
|
| 2092 |
+
"grad_norm": 4.315434455871582,
|
| 2093 |
+
"learning_rate": 1.9560357815343577e-05,
|
| 2094 |
+
"loss": 0.1879,
|
| 2095 |
+
"step": 274
|
| 2096 |
+
},
|
| 2097 |
+
{
|
| 2098 |
+
"epoch": 0.18606224627875506,
|
| 2099 |
+
"grad_norm": 4.0321245193481445,
|
| 2100 |
+
"learning_rate": 1.9553404292347356e-05,
|
| 2101 |
+
"loss": 0.1276,
|
| 2102 |
+
"step": 275
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 0.18673883626522328,
|
| 2106 |
+
"grad_norm": 3.7112905979156494,
|
| 2107 |
+
"learning_rate": 1.9546397466011654e-05,
|
| 2108 |
+
"loss": 0.173,
|
| 2109 |
+
"step": 276
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 0.18741542625169147,
|
| 2113 |
+
"grad_norm": 5.85778284072876,
|
| 2114 |
+
"learning_rate": 1.9539337375431144e-05,
|
| 2115 |
+
"loss": 0.3178,
|
| 2116 |
+
"step": 277
|
| 2117 |
+
},
|
| 2118 |
+
{
|
| 2119 |
+
"epoch": 0.1880920162381597,
|
| 2120 |
+
"grad_norm": 5.455870151519775,
|
| 2121 |
+
"learning_rate": 1.9532224059997693e-05,
|
| 2122 |
+
"loss": 0.1971,
|
| 2123 |
+
"step": 278
|
| 2124 |
+
},
|
| 2125 |
+
{
|
| 2126 |
+
"epoch": 0.18876860622462788,
|
| 2127 |
+
"grad_norm": 3.5191891193389893,
|
| 2128 |
+
"learning_rate": 1.9525057559400134e-05,
|
| 2129 |
+
"loss": 0.165,
|
| 2130 |
+
"step": 279
|
| 2131 |
+
},
|
| 2132 |
+
{
|
| 2133 |
+
"epoch": 0.18944519621109607,
|
| 2134 |
+
"grad_norm": 4.080350399017334,
|
| 2135 |
+
"learning_rate": 1.9517837913624048e-05,
|
| 2136 |
+
"loss": 0.115,
|
| 2137 |
+
"step": 280
|
| 2138 |
+
},
|
| 2139 |
+
{
|
| 2140 |
+
"epoch": 0.18944519621109607,
|
| 2141 |
+
"eval_accuracy": 0.7706422018348624,
|
| 2142 |
+
"eval_f1": 0.3315508021390374,
|
| 2143 |
+
"eval_loss": 0.49153777956962585,
|
| 2144 |
+
"eval_precision": 0.8157894736842105,
|
| 2145 |
+
"eval_recall": 0.2080536912751678,
|
| 2146 |
+
"eval_runtime": 53.3463,
|
| 2147 |
+
"eval_samples_per_second": 5.586,
|
| 2148 |
+
"eval_steps_per_second": 0.187,
|
| 2149 |
+
"step": 280
|
| 2150 |
+
},
|
| 2151 |
+
{
|
| 2152 |
+
"epoch": 0.19012178619756429,
|
| 2153 |
+
"grad_norm": 3.4508748054504395,
|
| 2154 |
+
"learning_rate": 1.9510565162951538e-05,
|
| 2155 |
+
"loss": 0.1461,
|
| 2156 |
+
"step": 281
|
| 2157 |
+
},
|
| 2158 |
+
{
|
| 2159 |
+
"epoch": 0.19079837618403248,
|
| 2160 |
+
"grad_norm": 5.258754253387451,
|
| 2161 |
+
"learning_rate": 1.9503239347961006e-05,
|
| 2162 |
+
"loss": 0.2396,
|
| 2163 |
+
"step": 282
|
| 2164 |
+
},
|
| 2165 |
+
{
|
| 2166 |
+
"epoch": 0.19147496617050067,
|
| 2167 |
+
"grad_norm": 5.140385627746582,
|
| 2168 |
+
"learning_rate": 1.9495860509526935e-05,
|
| 2169 |
+
"loss": 0.1444,
|
| 2170 |
+
"step": 283
|
| 2171 |
+
},
|
| 2172 |
+
{
|
| 2173 |
+
"epoch": 0.19215155615696888,
|
| 2174 |
+
"grad_norm": 1.9280897378921509,
|
| 2175 |
+
"learning_rate": 1.948842868881964e-05,
|
| 2176 |
+
"loss": 0.1426,
|
| 2177 |
+
"step": 284
|
| 2178 |
+
},
|
| 2179 |
+
{
|
| 2180 |
+
"epoch": 0.19282814614343707,
|
| 2181 |
+
"grad_norm": 2.6845431327819824,
|
| 2182 |
+
"learning_rate": 1.948094392730506e-05,
|
| 2183 |
+
"loss": 0.1702,
|
| 2184 |
+
"step": 285
|
| 2185 |
+
},
|
| 2186 |
+
{
|
| 2187 |
+
"epoch": 0.19350473612990526,
|
| 2188 |
+
"grad_norm": 2.7291038036346436,
|
| 2189 |
+
"learning_rate": 1.9473406266744518e-05,
|
| 2190 |
+
"loss": 0.1525,
|
| 2191 |
+
"step": 286
|
| 2192 |
+
},
|
| 2193 |
+
{
|
| 2194 |
+
"epoch": 0.19418132611637348,
|
| 2195 |
+
"grad_norm": 2.8851161003112793,
|
| 2196 |
+
"learning_rate": 1.9465815749194482e-05,
|
| 2197 |
+
"loss": 0.1419,
|
| 2198 |
+
"step": 287
|
| 2199 |
+
},
|
| 2200 |
+
{
|
| 2201 |
+
"epoch": 0.19485791610284167,
|
| 2202 |
+
"grad_norm": 3.973231554031372,
|
| 2203 |
+
"learning_rate": 1.9458172417006347e-05,
|
| 2204 |
+
"loss": 0.1782,
|
| 2205 |
+
"step": 288
|
| 2206 |
+
},
|
| 2207 |
+
{
|
| 2208 |
+
"epoch": 0.1955345060893099,
|
| 2209 |
+
"grad_norm": 5.708676338195801,
|
| 2210 |
+
"learning_rate": 1.9450476312826178e-05,
|
| 2211 |
+
"loss": 0.1396,
|
| 2212 |
+
"step": 289
|
| 2213 |
+
},
|
| 2214 |
+
{
|
| 2215 |
+
"epoch": 0.19621109607577808,
|
| 2216 |
+
"grad_norm": 3.4198830127716064,
|
| 2217 |
+
"learning_rate": 1.9442727479594486e-05,
|
| 2218 |
+
"loss": 0.1762,
|
| 2219 |
+
"step": 290
|
| 2220 |
+
},
|
| 2221 |
+
{
|
| 2222 |
+
"epoch": 0.19688768606224627,
|
| 2223 |
+
"grad_norm": 5.898075103759766,
|
| 2224 |
+
"learning_rate": 1.9434925960545978e-05,
|
| 2225 |
+
"loss": 0.213,
|
| 2226 |
+
"step": 291
|
| 2227 |
+
},
|
| 2228 |
+
{
|
| 2229 |
+
"epoch": 0.1975642760487145,
|
| 2230 |
+
"grad_norm": 5.121380805969238,
|
| 2231 |
+
"learning_rate": 1.9427071799209335e-05,
|
| 2232 |
+
"loss": 0.2684,
|
| 2233 |
+
"step": 292
|
| 2234 |
+
},
|
| 2235 |
+
{
|
| 2236 |
+
"epoch": 0.19824086603518268,
|
| 2237 |
+
"grad_norm": 5.1736931800842285,
|
| 2238 |
+
"learning_rate": 1.941916503940694e-05,
|
| 2239 |
+
"loss": 0.2272,
|
| 2240 |
+
"step": 293
|
| 2241 |
+
},
|
| 2242 |
+
{
|
| 2243 |
+
"epoch": 0.19891745602165087,
|
| 2244 |
+
"grad_norm": 3.988576650619507,
|
| 2245 |
+
"learning_rate": 1.941120572525467e-05,
|
| 2246 |
+
"loss": 0.2007,
|
| 2247 |
+
"step": 294
|
| 2248 |
+
},
|
| 2249 |
+
{
|
| 2250 |
+
"epoch": 0.19959404600811909,
|
| 2251 |
+
"grad_norm": 6.444464683532715,
|
| 2252 |
+
"learning_rate": 1.9403193901161614e-05,
|
| 2253 |
+
"loss": 0.2243,
|
| 2254 |
+
"step": 295
|
| 2255 |
+
},
|
| 2256 |
+
{
|
| 2257 |
+
"epoch": 0.20027063599458728,
|
| 2258 |
+
"grad_norm": 3.4448323249816895,
|
| 2259 |
+
"learning_rate": 1.9395129611829844e-05,
|
| 2260 |
+
"loss": 0.1175,
|
| 2261 |
+
"step": 296
|
| 2262 |
+
},
|
| 2263 |
+
{
|
| 2264 |
+
"epoch": 0.2009472259810555,
|
| 2265 |
+
"grad_norm": 7.464962005615234,
|
| 2266 |
+
"learning_rate": 1.9387012902254165e-05,
|
| 2267 |
+
"loss": 0.2362,
|
| 2268 |
+
"step": 297
|
| 2269 |
+
},
|
| 2270 |
+
{
|
| 2271 |
+
"epoch": 0.20162381596752368,
|
| 2272 |
+
"grad_norm": 4.778014183044434,
|
| 2273 |
+
"learning_rate": 1.9378843817721856e-05,
|
| 2274 |
+
"loss": 0.1657,
|
| 2275 |
+
"step": 298
|
| 2276 |
+
},
|
| 2277 |
+
{
|
| 2278 |
+
"epoch": 0.20230040595399187,
|
| 2279 |
+
"grad_norm": 4.121883392333984,
|
| 2280 |
+
"learning_rate": 1.937062240381243e-05,
|
| 2281 |
+
"loss": 0.1339,
|
| 2282 |
+
"step": 299
|
| 2283 |
+
},
|
| 2284 |
+
{
|
| 2285 |
+
"epoch": 0.2029769959404601,
|
| 2286 |
+
"grad_norm": 5.5182576179504395,
|
| 2287 |
+
"learning_rate": 1.9362348706397374e-05,
|
| 2288 |
+
"loss": 0.1785,
|
| 2289 |
+
"step": 300
|
| 2290 |
+
},
|
| 2291 |
+
{
|
| 2292 |
+
"epoch": 0.2029769959404601,
|
| 2293 |
+
"eval_accuracy": 0.773394495412844,
|
| 2294 |
+
"eval_f1": 0.35170603674540685,
|
| 2295 |
+
"eval_loss": 0.5283112525939941,
|
| 2296 |
+
"eval_precision": 0.8072289156626506,
|
| 2297 |
+
"eval_recall": 0.22483221476510068,
|
| 2298 |
+
"eval_runtime": 51.5451,
|
| 2299 |
+
"eval_samples_per_second": 5.781,
|
| 2300 |
+
"eval_steps_per_second": 0.194,
|
| 2301 |
+
"step": 300
|
| 2302 |
}
|
| 2303 |
],
|
| 2304 |
"logging_steps": 1,
|
|
|
|
| 2318 |
"attributes": {}
|
| 2319 |
}
|
| 2320 |
},
|
| 2321 |
+
"total_flos": 9.054635921978163e+16,
|
| 2322 |
"train_batch_size": 8,
|
| 2323 |
"trial_name": null,
|
| 2324 |
"trial_params": null
|