Training in progress, step 400, 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 sha256:61e0583ec5819bd9d218cb7cbb3d96a13e38ffa7c04c77bed86909e60e2d8d43
|
| 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:bc9ceb414aa18285c6e881640d933d01fb0146850bfc8ecd06ab1f6bb1bed056
|
| 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 sha256:1366fd8d18df6071e3e46f037affd2fa48cd8fbddf1de76bfad3a682252957dc
|
| 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:d27689e09f171d3bfac23f02586872ccd9295635653d605d59ab909896aef34d
|
| 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:ba710043ec7c5e37f0cc9912a7fc1e35ee1c93b7c28149447a9da2468e8d2738
|
| 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 sha256:34df0713f48ac78099ac04b6aa827e0b9450f86e65d38e6f95738f425b9fe3cb
|
| 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 sha256:22216db04e5f7b4575fd49e958bbf8d52502bd3d4c610f1ee1ac28962fb2221f
|
| 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:ad4699d37b4a4fd828dc85d7a4afb8b7233d8ff3f31f19da2eb15b5020878277
|
| 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 15088
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:770f70341965762eba950e78530dac18548c5ffc01747f586966a93dd2aaecc5
|
| 3 |
size 15088
|
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 15088
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e6a5808c82049f750089c2b8c24ef7ed5c78e67dc53d231bb7066cc5400ea6c0
|
| 3 |
size 15088
|
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 15088
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:26584d4d2b2c938da795ee83cefc212ad7531e84dccb612e0d827ed54c445ba7
|
| 3 |
size 15088
|
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 15088
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ce4ce133b799ebf855812e6c0a1492b8b6983f401e5b15fef49b386da6c07a2e
|
| 3 |
size 15088
|
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:e72f0c2b42252f9bf5b1a5e2d7757bd051d85eef3fb930f6dcbfeb449c5c3e1a
|
| 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,
|
|
@@ -2299,6 +2299,766 @@
|
|
| 2299 |
"eval_samples_per_second": 5.566,
|
| 2300 |
"eval_steps_per_second": 0.191,
|
| 2301 |
"step": 300
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2302 |
}
|
| 2303 |
],
|
| 2304 |
"logging_steps": 1,
|
|
@@ -2318,7 +3078,7 @@
|
|
| 2318 |
"attributes": {}
|
| 2319 |
}
|
| 2320 |
},
|
| 2321 |
-
"total_flos":
|
| 2322 |
"train_batch_size": 8,
|
| 2323 |
"trial_name": null,
|
| 2324 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.3389830508474576,
|
| 5 |
"eval_steps": 20,
|
| 6 |
+
"global_step": 400,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 2299 |
"eval_samples_per_second": 5.566,
|
| 2300 |
"eval_steps_per_second": 0.191,
|
| 2301 |
"step": 300
|
| 2302 |
+
},
|
| 2303 |
+
{
|
| 2304 |
+
"epoch": 0.25508474576271184,
|
| 2305 |
+
"grad_norm": 0.9495724439620972,
|
| 2306 |
+
"learning_rate": 1.8570149053999154e-05,
|
| 2307 |
+
"loss": 0.0102,
|
| 2308 |
+
"step": 301
|
| 2309 |
+
},
|
| 2310 |
+
{
|
| 2311 |
+
"epoch": 0.2559322033898305,
|
| 2312 |
+
"grad_norm": 1.3956694602966309,
|
| 2313 |
+
"learning_rate": 1.8554868297922728e-05,
|
| 2314 |
+
"loss": 0.0094,
|
| 2315 |
+
"step": 302
|
| 2316 |
+
},
|
| 2317 |
+
{
|
| 2318 |
+
"epoch": 0.25677966101694916,
|
| 2319 |
+
"grad_norm": 2.1316022872924805,
|
| 2320 |
+
"learning_rate": 1.853951267945023e-05,
|
| 2321 |
+
"loss": 0.0169,
|
| 2322 |
+
"step": 303
|
| 2323 |
+
},
|
| 2324 |
+
{
|
| 2325 |
+
"epoch": 0.2576271186440678,
|
| 2326 |
+
"grad_norm": 1.0728296041488647,
|
| 2327 |
+
"learning_rate": 1.852408233295643e-05,
|
| 2328 |
+
"loss": 0.0131,
|
| 2329 |
+
"step": 304
|
| 2330 |
+
},
|
| 2331 |
+
{
|
| 2332 |
+
"epoch": 0.2584745762711864,
|
| 2333 |
+
"grad_norm": 1.8492826223373413,
|
| 2334 |
+
"learning_rate": 1.8508577393470014e-05,
|
| 2335 |
+
"loss": 0.0292,
|
| 2336 |
+
"step": 305
|
| 2337 |
+
},
|
| 2338 |
+
{
|
| 2339 |
+
"epoch": 0.2593220338983051,
|
| 2340 |
+
"grad_norm": 1.082140564918518,
|
| 2341 |
+
"learning_rate": 1.8492997996672436e-05,
|
| 2342 |
+
"loss": 0.0094,
|
| 2343 |
+
"step": 306
|
| 2344 |
+
},
|
| 2345 |
+
{
|
| 2346 |
+
"epoch": 0.26016949152542374,
|
| 2347 |
+
"grad_norm": 2.817040205001831,
|
| 2348 |
+
"learning_rate": 1.8477344278896708e-05,
|
| 2349 |
+
"loss": 0.0222,
|
| 2350 |
+
"step": 307
|
| 2351 |
+
},
|
| 2352 |
+
{
|
| 2353 |
+
"epoch": 0.26101694915254237,
|
| 2354 |
+
"grad_norm": 1.3377786874771118,
|
| 2355 |
+
"learning_rate": 1.846161637712622e-05,
|
| 2356 |
+
"loss": 0.0183,
|
| 2357 |
+
"step": 308
|
| 2358 |
+
},
|
| 2359 |
+
{
|
| 2360 |
+
"epoch": 0.261864406779661,
|
| 2361 |
+
"grad_norm": 2.062629222869873,
|
| 2362 |
+
"learning_rate": 1.8445814428993528e-05,
|
| 2363 |
+
"loss": 0.028,
|
| 2364 |
+
"step": 309
|
| 2365 |
+
},
|
| 2366 |
+
{
|
| 2367 |
+
"epoch": 0.2627118644067797,
|
| 2368 |
+
"grad_norm": 2.208967447280884,
|
| 2369 |
+
"learning_rate": 1.8429938572779154e-05,
|
| 2370 |
+
"loss": 0.0267,
|
| 2371 |
+
"step": 310
|
| 2372 |
+
},
|
| 2373 |
+
{
|
| 2374 |
+
"epoch": 0.2635593220338983,
|
| 2375 |
+
"grad_norm": 1.015850305557251,
|
| 2376 |
+
"learning_rate": 1.8413988947410388e-05,
|
| 2377 |
+
"loss": 0.0112,
|
| 2378 |
+
"step": 311
|
| 2379 |
+
},
|
| 2380 |
+
{
|
| 2381 |
+
"epoch": 0.26440677966101694,
|
| 2382 |
+
"grad_norm": 1.2069474458694458,
|
| 2383 |
+
"learning_rate": 1.839796569246006e-05,
|
| 2384 |
+
"loss": 0.0122,
|
| 2385 |
+
"step": 312
|
| 2386 |
+
},
|
| 2387 |
+
{
|
| 2388 |
+
"epoch": 0.2652542372881356,
|
| 2389 |
+
"grad_norm": 1.5780760049819946,
|
| 2390 |
+
"learning_rate": 1.8381868948145317e-05,
|
| 2391 |
+
"loss": 0.0197,
|
| 2392 |
+
"step": 313
|
| 2393 |
+
},
|
| 2394 |
+
{
|
| 2395 |
+
"epoch": 0.26610169491525426,
|
| 2396 |
+
"grad_norm": 0.7285755276679993,
|
| 2397 |
+
"learning_rate": 1.836569885532641e-05,
|
| 2398 |
+
"loss": 0.0064,
|
| 2399 |
+
"step": 314
|
| 2400 |
+
},
|
| 2401 |
+
{
|
| 2402 |
+
"epoch": 0.2669491525423729,
|
| 2403 |
+
"grad_norm": 2.682543992996216,
|
| 2404 |
+
"learning_rate": 1.8349455555505445e-05,
|
| 2405 |
+
"loss": 0.0285,
|
| 2406 |
+
"step": 315
|
| 2407 |
+
},
|
| 2408 |
+
{
|
| 2409 |
+
"epoch": 0.2677966101694915,
|
| 2410 |
+
"grad_norm": 1.949136734008789,
|
| 2411 |
+
"learning_rate": 1.833313919082515e-05,
|
| 2412 |
+
"loss": 0.0232,
|
| 2413 |
+
"step": 316
|
| 2414 |
+
},
|
| 2415 |
+
{
|
| 2416 |
+
"epoch": 0.26864406779661015,
|
| 2417 |
+
"grad_norm": 3.491502285003662,
|
| 2418 |
+
"learning_rate": 1.8316749904067637e-05,
|
| 2419 |
+
"loss": 0.0264,
|
| 2420 |
+
"step": 317
|
| 2421 |
+
},
|
| 2422 |
+
{
|
| 2423 |
+
"epoch": 0.26949152542372884,
|
| 2424 |
+
"grad_norm": 0.8317990303039551,
|
| 2425 |
+
"learning_rate": 1.8300287838653155e-05,
|
| 2426 |
+
"loss": 0.0048,
|
| 2427 |
+
"step": 318
|
| 2428 |
+
},
|
| 2429 |
+
{
|
| 2430 |
+
"epoch": 0.27033898305084747,
|
| 2431 |
+
"grad_norm": 1.39896821975708,
|
| 2432 |
+
"learning_rate": 1.828375313863881e-05,
|
| 2433 |
+
"loss": 0.0149,
|
| 2434 |
+
"step": 319
|
| 2435 |
+
},
|
| 2436 |
+
{
|
| 2437 |
+
"epoch": 0.2711864406779661,
|
| 2438 |
+
"grad_norm": 1.3299435377120972,
|
| 2439 |
+
"learning_rate": 1.8267145948717338e-05,
|
| 2440 |
+
"loss": 0.0053,
|
| 2441 |
+
"step": 320
|
| 2442 |
+
},
|
| 2443 |
+
{
|
| 2444 |
+
"epoch": 0.2711864406779661,
|
| 2445 |
+
"eval_accuracy": 1.0,
|
| 2446 |
+
"eval_f1": 1.0,
|
| 2447 |
+
"eval_loss": 0.0007786459173075855,
|
| 2448 |
+
"eval_precision": 1.0,
|
| 2449 |
+
"eval_recall": 1.0,
|
| 2450 |
+
"eval_runtime": 52.8212,
|
| 2451 |
+
"eval_samples_per_second": 5.528,
|
| 2452 |
+
"eval_steps_per_second": 0.189,
|
| 2453 |
+
"step": 320
|
| 2454 |
+
},
|
| 2455 |
+
{
|
| 2456 |
+
"epoch": 0.27203389830508473,
|
| 2457 |
+
"grad_norm": 0.4707522392272949,
|
| 2458 |
+
"learning_rate": 1.8250466414215816e-05,
|
| 2459 |
+
"loss": 0.0044,
|
| 2460 |
+
"step": 321
|
| 2461 |
+
},
|
| 2462 |
+
{
|
| 2463 |
+
"epoch": 0.27288135593220336,
|
| 2464 |
+
"grad_norm": 2.0582358837127686,
|
| 2465 |
+
"learning_rate": 1.8233714681094405e-05,
|
| 2466 |
+
"loss": 0.0194,
|
| 2467 |
+
"step": 322
|
| 2468 |
+
},
|
| 2469 |
+
{
|
| 2470 |
+
"epoch": 0.27372881355932205,
|
| 2471 |
+
"grad_norm": 2.306215286254883,
|
| 2472 |
+
"learning_rate": 1.8216890895945062e-05,
|
| 2473 |
+
"loss": 0.0157,
|
| 2474 |
+
"step": 323
|
| 2475 |
+
},
|
| 2476 |
+
{
|
| 2477 |
+
"epoch": 0.2745762711864407,
|
| 2478 |
+
"grad_norm": 0.5328612923622131,
|
| 2479 |
+
"learning_rate": 1.8199995205990256e-05,
|
| 2480 |
+
"loss": 0.0025,
|
| 2481 |
+
"step": 324
|
| 2482 |
+
},
|
| 2483 |
+
{
|
| 2484 |
+
"epoch": 0.2754237288135593,
|
| 2485 |
+
"grad_norm": 1.3948057889938354,
|
| 2486 |
+
"learning_rate": 1.818302775908169e-05,
|
| 2487 |
+
"loss": 0.0114,
|
| 2488 |
+
"step": 325
|
| 2489 |
+
},
|
| 2490 |
+
{
|
| 2491 |
+
"epoch": 0.27627118644067794,
|
| 2492 |
+
"grad_norm": 0.7532712817192078,
|
| 2493 |
+
"learning_rate": 1.8165988703699003e-05,
|
| 2494 |
+
"loss": 0.0047,
|
| 2495 |
+
"step": 326
|
| 2496 |
+
},
|
| 2497 |
+
{
|
| 2498 |
+
"epoch": 0.2771186440677966,
|
| 2499 |
+
"grad_norm": 1.3939229249954224,
|
| 2500 |
+
"learning_rate": 1.814887818894846e-05,
|
| 2501 |
+
"loss": 0.0169,
|
| 2502 |
+
"step": 327
|
| 2503 |
+
},
|
| 2504 |
+
{
|
| 2505 |
+
"epoch": 0.27796610169491526,
|
| 2506 |
+
"grad_norm": 1.9840660095214844,
|
| 2507 |
+
"learning_rate": 1.813169636456167e-05,
|
| 2508 |
+
"loss": 0.0139,
|
| 2509 |
+
"step": 328
|
| 2510 |
+
},
|
| 2511 |
+
{
|
| 2512 |
+
"epoch": 0.2788135593220339,
|
| 2513 |
+
"grad_norm": 3.3618903160095215,
|
| 2514 |
+
"learning_rate": 1.8114443380894248e-05,
|
| 2515 |
+
"loss": 0.0212,
|
| 2516 |
+
"step": 329
|
| 2517 |
+
},
|
| 2518 |
+
{
|
| 2519 |
+
"epoch": 0.2796610169491525,
|
| 2520 |
+
"grad_norm": 1.521863579750061,
|
| 2521 |
+
"learning_rate": 1.8097119388924524e-05,
|
| 2522 |
+
"loss": 0.0063,
|
| 2523 |
+
"step": 330
|
| 2524 |
+
},
|
| 2525 |
+
{
|
| 2526 |
+
"epoch": 0.2805084745762712,
|
| 2527 |
+
"grad_norm": 2.661334991455078,
|
| 2528 |
+
"learning_rate": 1.8079724540252204e-05,
|
| 2529 |
+
"loss": 0.0212,
|
| 2530 |
+
"step": 331
|
| 2531 |
+
},
|
| 2532 |
+
{
|
| 2533 |
+
"epoch": 0.28135593220338984,
|
| 2534 |
+
"grad_norm": 0.9505246877670288,
|
| 2535 |
+
"learning_rate": 1.8062258987097062e-05,
|
| 2536 |
+
"loss": 0.0044,
|
| 2537 |
+
"step": 332
|
| 2538 |
+
},
|
| 2539 |
+
{
|
| 2540 |
+
"epoch": 0.28220338983050847,
|
| 2541 |
+
"grad_norm": 2.677922010421753,
|
| 2542 |
+
"learning_rate": 1.8044722882297582e-05,
|
| 2543 |
+
"loss": 0.0323,
|
| 2544 |
+
"step": 333
|
| 2545 |
+
},
|
| 2546 |
+
{
|
| 2547 |
+
"epoch": 0.2830508474576271,
|
| 2548 |
+
"grad_norm": 2.3942182064056396,
|
| 2549 |
+
"learning_rate": 1.8027116379309637e-05,
|
| 2550 |
+
"loss": 0.0173,
|
| 2551 |
+
"step": 334
|
| 2552 |
+
},
|
| 2553 |
+
{
|
| 2554 |
+
"epoch": 0.2838983050847458,
|
| 2555 |
+
"grad_norm": 5.396221160888672,
|
| 2556 |
+
"learning_rate": 1.8009439632205162e-05,
|
| 2557 |
+
"loss": 0.0445,
|
| 2558 |
+
"step": 335
|
| 2559 |
+
},
|
| 2560 |
+
{
|
| 2561 |
+
"epoch": 0.2847457627118644,
|
| 2562 |
+
"grad_norm": 3.2957260608673096,
|
| 2563 |
+
"learning_rate": 1.7991692795670764e-05,
|
| 2564 |
+
"loss": 0.0344,
|
| 2565 |
+
"step": 336
|
| 2566 |
+
},
|
| 2567 |
+
{
|
| 2568 |
+
"epoch": 0.28559322033898304,
|
| 2569 |
+
"grad_norm": 2.7046103477478027,
|
| 2570 |
+
"learning_rate": 1.7973876025006407e-05,
|
| 2571 |
+
"loss": 0.0119,
|
| 2572 |
+
"step": 337
|
| 2573 |
+
},
|
| 2574 |
+
{
|
| 2575 |
+
"epoch": 0.2864406779661017,
|
| 2576 |
+
"grad_norm": 2.09260630607605,
|
| 2577 |
+
"learning_rate": 1.7955989476124035e-05,
|
| 2578 |
+
"loss": 0.0191,
|
| 2579 |
+
"step": 338
|
| 2580 |
+
},
|
| 2581 |
+
{
|
| 2582 |
+
"epoch": 0.28728813559322036,
|
| 2583 |
+
"grad_norm": 1.4881995916366577,
|
| 2584 |
+
"learning_rate": 1.7938033305546208e-05,
|
| 2585 |
+
"loss": 0.0198,
|
| 2586 |
+
"step": 339
|
| 2587 |
+
},
|
| 2588 |
+
{
|
| 2589 |
+
"epoch": 0.288135593220339,
|
| 2590 |
+
"grad_norm": 0.29988396167755127,
|
| 2591 |
+
"learning_rate": 1.7920007670404738e-05,
|
| 2592 |
+
"loss": 0.0028,
|
| 2593 |
+
"step": 340
|
| 2594 |
+
},
|
| 2595 |
+
{
|
| 2596 |
+
"epoch": 0.288135593220339,
|
| 2597 |
+
"eval_accuracy": 1.0,
|
| 2598 |
+
"eval_f1": 1.0,
|
| 2599 |
+
"eval_loss": 0.0003622370131779462,
|
| 2600 |
+
"eval_precision": 1.0,
|
| 2601 |
+
"eval_recall": 1.0,
|
| 2602 |
+
"eval_runtime": 51.8576,
|
| 2603 |
+
"eval_samples_per_second": 5.631,
|
| 2604 |
+
"eval_steps_per_second": 0.193,
|
| 2605 |
+
"step": 340
|
| 2606 |
+
},
|
| 2607 |
+
{
|
| 2608 |
+
"epoch": 0.2889830508474576,
|
| 2609 |
+
"grad_norm": 1.238132357597351,
|
| 2610 |
+
"learning_rate": 1.7901912728439317e-05,
|
| 2611 |
+
"loss": 0.0105,
|
| 2612 |
+
"step": 341
|
| 2613 |
+
},
|
| 2614 |
+
{
|
| 2615 |
+
"epoch": 0.28983050847457625,
|
| 2616 |
+
"grad_norm": 5.88295316696167,
|
| 2617 |
+
"learning_rate": 1.7883748637996113e-05,
|
| 2618 |
+
"loss": 0.0363,
|
| 2619 |
+
"step": 342
|
| 2620 |
+
},
|
| 2621 |
+
{
|
| 2622 |
+
"epoch": 0.29067796610169494,
|
| 2623 |
+
"grad_norm": 1.8744484186172485,
|
| 2624 |
+
"learning_rate": 1.786551555802643e-05,
|
| 2625 |
+
"loss": 0.014,
|
| 2626 |
+
"step": 343
|
| 2627 |
+
},
|
| 2628 |
+
{
|
| 2629 |
+
"epoch": 0.29152542372881357,
|
| 2630 |
+
"grad_norm": 0.7737008333206177,
|
| 2631 |
+
"learning_rate": 1.7847213648085257e-05,
|
| 2632 |
+
"loss": 0.0071,
|
| 2633 |
+
"step": 344
|
| 2634 |
+
},
|
| 2635 |
+
{
|
| 2636 |
+
"epoch": 0.2923728813559322,
|
| 2637 |
+
"grad_norm": 1.2532923221588135,
|
| 2638 |
+
"learning_rate": 1.7828843068329923e-05,
|
| 2639 |
+
"loss": 0.015,
|
| 2640 |
+
"step": 345
|
| 2641 |
+
},
|
| 2642 |
+
{
|
| 2643 |
+
"epoch": 0.29322033898305083,
|
| 2644 |
+
"grad_norm": 1.273977279663086,
|
| 2645 |
+
"learning_rate": 1.781040397951868e-05,
|
| 2646 |
+
"loss": 0.0071,
|
| 2647 |
+
"step": 346
|
| 2648 |
+
},
|
| 2649 |
+
{
|
| 2650 |
+
"epoch": 0.2940677966101695,
|
| 2651 |
+
"grad_norm": 1.9330259561538696,
|
| 2652 |
+
"learning_rate": 1.7791896543009282e-05,
|
| 2653 |
+
"loss": 0.0245,
|
| 2654 |
+
"step": 347
|
| 2655 |
+
},
|
| 2656 |
+
{
|
| 2657 |
+
"epoch": 0.29491525423728815,
|
| 2658 |
+
"grad_norm": 1.0898295640945435,
|
| 2659 |
+
"learning_rate": 1.7773320920757597e-05,
|
| 2660 |
+
"loss": 0.0099,
|
| 2661 |
+
"step": 348
|
| 2662 |
+
},
|
| 2663 |
+
{
|
| 2664 |
+
"epoch": 0.2957627118644068,
|
| 2665 |
+
"grad_norm": 2.295070171356201,
|
| 2666 |
+
"learning_rate": 1.775467727531615e-05,
|
| 2667 |
+
"loss": 0.0212,
|
| 2668 |
+
"step": 349
|
| 2669 |
+
},
|
| 2670 |
+
{
|
| 2671 |
+
"epoch": 0.2966101694915254,
|
| 2672 |
+
"grad_norm": 2.575789213180542,
|
| 2673 |
+
"learning_rate": 1.7735965769832754e-05,
|
| 2674 |
+
"loss": 0.0204,
|
| 2675 |
+
"step": 350
|
| 2676 |
+
},
|
| 2677 |
+
{
|
| 2678 |
+
"epoch": 0.29745762711864404,
|
| 2679 |
+
"grad_norm": 0.6911354660987854,
|
| 2680 |
+
"learning_rate": 1.7717186568049048e-05,
|
| 2681 |
+
"loss": 0.0045,
|
| 2682 |
+
"step": 351
|
| 2683 |
+
},
|
| 2684 |
+
{
|
| 2685 |
+
"epoch": 0.2983050847457627,
|
| 2686 |
+
"grad_norm": 2.2805356979370117,
|
| 2687 |
+
"learning_rate": 1.7698339834299064e-05,
|
| 2688 |
+
"loss": 0.0148,
|
| 2689 |
+
"step": 352
|
| 2690 |
+
},
|
| 2691 |
+
{
|
| 2692 |
+
"epoch": 0.29915254237288136,
|
| 2693 |
+
"grad_norm": 2.1223855018615723,
|
| 2694 |
+
"learning_rate": 1.7679425733507802e-05,
|
| 2695 |
+
"loss": 0.0291,
|
| 2696 |
+
"step": 353
|
| 2697 |
+
},
|
| 2698 |
+
{
|
| 2699 |
+
"epoch": 0.3,
|
| 2700 |
+
"grad_norm": 0.93767911195755,
|
| 2701 |
+
"learning_rate": 1.766044443118978e-05,
|
| 2702 |
+
"loss": 0.0048,
|
| 2703 |
+
"step": 354
|
| 2704 |
+
},
|
| 2705 |
+
{
|
| 2706 |
+
"epoch": 0.3008474576271186,
|
| 2707 |
+
"grad_norm": 1.8879729509353638,
|
| 2708 |
+
"learning_rate": 1.764139609344759e-05,
|
| 2709 |
+
"loss": 0.0196,
|
| 2710 |
+
"step": 355
|
| 2711 |
+
},
|
| 2712 |
+
{
|
| 2713 |
+
"epoch": 0.3016949152542373,
|
| 2714 |
+
"grad_norm": 1.6808807849884033,
|
| 2715 |
+
"learning_rate": 1.7622280886970436e-05,
|
| 2716 |
+
"loss": 0.0116,
|
| 2717 |
+
"step": 356
|
| 2718 |
+
},
|
| 2719 |
+
{
|
| 2720 |
+
"epoch": 0.30254237288135594,
|
| 2721 |
+
"grad_norm": 2.692596912384033,
|
| 2722 |
+
"learning_rate": 1.7603098979032683e-05,
|
| 2723 |
+
"loss": 0.0215,
|
| 2724 |
+
"step": 357
|
| 2725 |
+
},
|
| 2726 |
+
{
|
| 2727 |
+
"epoch": 0.30338983050847457,
|
| 2728 |
+
"grad_norm": 0.6760978698730469,
|
| 2729 |
+
"learning_rate": 1.7583850537492386e-05,
|
| 2730 |
+
"loss": 0.0053,
|
| 2731 |
+
"step": 358
|
| 2732 |
+
},
|
| 2733 |
+
{
|
| 2734 |
+
"epoch": 0.3042372881355932,
|
| 2735 |
+
"grad_norm": 0.8519519567489624,
|
| 2736 |
+
"learning_rate": 1.7564535730789835e-05,
|
| 2737 |
+
"loss": 0.0057,
|
| 2738 |
+
"step": 359
|
| 2739 |
+
},
|
| 2740 |
+
{
|
| 2741 |
+
"epoch": 0.3050847457627119,
|
| 2742 |
+
"grad_norm": 2.1830923557281494,
|
| 2743 |
+
"learning_rate": 1.7545154727946065e-05,
|
| 2744 |
+
"loss": 0.015,
|
| 2745 |
+
"step": 360
|
| 2746 |
+
},
|
| 2747 |
+
{
|
| 2748 |
+
"epoch": 0.3050847457627119,
|
| 2749 |
+
"eval_accuracy": 1.0,
|
| 2750 |
+
"eval_f1": 1.0,
|
| 2751 |
+
"eval_loss": 0.00035791730624623597,
|
| 2752 |
+
"eval_precision": 1.0,
|
| 2753 |
+
"eval_recall": 1.0,
|
| 2754 |
+
"eval_runtime": 51.4513,
|
| 2755 |
+
"eval_samples_per_second": 5.675,
|
| 2756 |
+
"eval_steps_per_second": 0.194,
|
| 2757 |
+
"step": 360
|
| 2758 |
+
},
|
| 2759 |
+
{
|
| 2760 |
+
"epoch": 0.3059322033898305,
|
| 2761 |
+
"grad_norm": 1.3546723127365112,
|
| 2762 |
+
"learning_rate": 1.7525707698561383e-05,
|
| 2763 |
+
"loss": 0.0152,
|
| 2764 |
+
"step": 361
|
| 2765 |
+
},
|
| 2766 |
+
{
|
| 2767 |
+
"epoch": 0.30677966101694915,
|
| 2768 |
+
"grad_norm": 2.3119301795959473,
|
| 2769 |
+
"learning_rate": 1.7506194812813896e-05,
|
| 2770 |
+
"loss": 0.031,
|
| 2771 |
+
"step": 362
|
| 2772 |
+
},
|
| 2773 |
+
{
|
| 2774 |
+
"epoch": 0.3076271186440678,
|
| 2775 |
+
"grad_norm": 2.6761271953582764,
|
| 2776 |
+
"learning_rate": 1.7486616241457994e-05,
|
| 2777 |
+
"loss": 0.0133,
|
| 2778 |
+
"step": 363
|
| 2779 |
+
},
|
| 2780 |
+
{
|
| 2781 |
+
"epoch": 0.30847457627118646,
|
| 2782 |
+
"grad_norm": 1.6576277017593384,
|
| 2783 |
+
"learning_rate": 1.746697215582288e-05,
|
| 2784 |
+
"loss": 0.0095,
|
| 2785 |
+
"step": 364
|
| 2786 |
+
},
|
| 2787 |
+
{
|
| 2788 |
+
"epoch": 0.3093220338983051,
|
| 2789 |
+
"grad_norm": 2.716494083404541,
|
| 2790 |
+
"learning_rate": 1.7447262727811062e-05,
|
| 2791 |
+
"loss": 0.0229,
|
| 2792 |
+
"step": 365
|
| 2793 |
+
},
|
| 2794 |
+
{
|
| 2795 |
+
"epoch": 0.3101694915254237,
|
| 2796 |
+
"grad_norm": 2.4295156002044678,
|
| 2797 |
+
"learning_rate": 1.7427488129896852e-05,
|
| 2798 |
+
"loss": 0.0245,
|
| 2799 |
+
"step": 366
|
| 2800 |
+
},
|
| 2801 |
+
{
|
| 2802 |
+
"epoch": 0.31101694915254235,
|
| 2803 |
+
"grad_norm": 1.3123137950897217,
|
| 2804 |
+
"learning_rate": 1.740764853512485e-05,
|
| 2805 |
+
"loss": 0.0066,
|
| 2806 |
+
"step": 367
|
| 2807 |
+
},
|
| 2808 |
+
{
|
| 2809 |
+
"epoch": 0.31186440677966104,
|
| 2810 |
+
"grad_norm": 1.4011317491531372,
|
| 2811 |
+
"learning_rate": 1.738774411710844e-05,
|
| 2812 |
+
"loss": 0.0215,
|
| 2813 |
+
"step": 368
|
| 2814 |
+
},
|
| 2815 |
+
{
|
| 2816 |
+
"epoch": 0.31271186440677967,
|
| 2817 |
+
"grad_norm": 1.852777361869812,
|
| 2818 |
+
"learning_rate": 1.7367775050028254e-05,
|
| 2819 |
+
"loss": 0.0119,
|
| 2820 |
+
"step": 369
|
| 2821 |
+
},
|
| 2822 |
+
{
|
| 2823 |
+
"epoch": 0.3135593220338983,
|
| 2824 |
+
"grad_norm": 1.4631356000900269,
|
| 2825 |
+
"learning_rate": 1.7347741508630673e-05,
|
| 2826 |
+
"loss": 0.0142,
|
| 2827 |
+
"step": 370
|
| 2828 |
+
},
|
| 2829 |
+
{
|
| 2830 |
+
"epoch": 0.31440677966101693,
|
| 2831 |
+
"grad_norm": 2.603271961212158,
|
| 2832 |
+
"learning_rate": 1.732764366822627e-05,
|
| 2833 |
+
"loss": 0.0218,
|
| 2834 |
+
"step": 371
|
| 2835 |
+
},
|
| 2836 |
+
{
|
| 2837 |
+
"epoch": 0.3152542372881356,
|
| 2838 |
+
"grad_norm": 1.0737484693527222,
|
| 2839 |
+
"learning_rate": 1.73074817046883e-05,
|
| 2840 |
+
"loss": 0.0087,
|
| 2841 |
+
"step": 372
|
| 2842 |
+
},
|
| 2843 |
+
{
|
| 2844 |
+
"epoch": 0.31610169491525425,
|
| 2845 |
+
"grad_norm": 3.7462353706359863,
|
| 2846 |
+
"learning_rate": 1.728725579445114e-05,
|
| 2847 |
+
"loss": 0.0573,
|
| 2848 |
+
"step": 373
|
| 2849 |
+
},
|
| 2850 |
+
{
|
| 2851 |
+
"epoch": 0.3169491525423729,
|
| 2852 |
+
"grad_norm": 1.9481991529464722,
|
| 2853 |
+
"learning_rate": 1.7266966114508764e-05,
|
| 2854 |
+
"loss": 0.011,
|
| 2855 |
+
"step": 374
|
| 2856 |
+
},
|
| 2857 |
+
{
|
| 2858 |
+
"epoch": 0.3177966101694915,
|
| 2859 |
+
"grad_norm": 0.9563993811607361,
|
| 2860 |
+
"learning_rate": 1.7246612842413177e-05,
|
| 2861 |
+
"loss": 0.0073,
|
| 2862 |
+
"step": 375
|
| 2863 |
+
},
|
| 2864 |
+
{
|
| 2865 |
+
"epoch": 0.31864406779661014,
|
| 2866 |
+
"grad_norm": 4.024267196655273,
|
| 2867 |
+
"learning_rate": 1.7226196156272873e-05,
|
| 2868 |
+
"loss": 0.0278,
|
| 2869 |
+
"step": 376
|
| 2870 |
+
},
|
| 2871 |
+
{
|
| 2872 |
+
"epoch": 0.31949152542372883,
|
| 2873 |
+
"grad_norm": 2.5183022022247314,
|
| 2874 |
+
"learning_rate": 1.720571623475128e-05,
|
| 2875 |
+
"loss": 0.0349,
|
| 2876 |
+
"step": 377
|
| 2877 |
+
},
|
| 2878 |
+
{
|
| 2879 |
+
"epoch": 0.32033898305084746,
|
| 2880 |
+
"grad_norm": 1.7995777130126953,
|
| 2881 |
+
"learning_rate": 1.7185173257065178e-05,
|
| 2882 |
+
"loss": 0.0097,
|
| 2883 |
+
"step": 378
|
| 2884 |
+
},
|
| 2885 |
+
{
|
| 2886 |
+
"epoch": 0.3211864406779661,
|
| 2887 |
+
"grad_norm": 1.5496909618377686,
|
| 2888 |
+
"learning_rate": 1.7164567402983153e-05,
|
| 2889 |
+
"loss": 0.0133,
|
| 2890 |
+
"step": 379
|
| 2891 |
+
},
|
| 2892 |
+
{
|
| 2893 |
+
"epoch": 0.3220338983050847,
|
| 2894 |
+
"grad_norm": 2.2646713256835938,
|
| 2895 |
+
"learning_rate": 1.7143898852824005e-05,
|
| 2896 |
+
"loss": 0.0446,
|
| 2897 |
+
"step": 380
|
| 2898 |
+
},
|
| 2899 |
+
{
|
| 2900 |
+
"epoch": 0.3220338983050847,
|
| 2901 |
+
"eval_accuracy": 1.0,
|
| 2902 |
+
"eval_f1": 1.0,
|
| 2903 |
+
"eval_loss": 0.0006280901725403965,
|
| 2904 |
+
"eval_precision": 1.0,
|
| 2905 |
+
"eval_recall": 1.0,
|
| 2906 |
+
"eval_runtime": 51.0586,
|
| 2907 |
+
"eval_samples_per_second": 5.719,
|
| 2908 |
+
"eval_steps_per_second": 0.196,
|
| 2909 |
+
"step": 380
|
| 2910 |
+
},
|
| 2911 |
+
{
|
| 2912 |
+
"epoch": 0.3228813559322034,
|
| 2913 |
+
"grad_norm": 2.7952117919921875,
|
| 2914 |
+
"learning_rate": 1.7123167787455176e-05,
|
| 2915 |
+
"loss": 0.021,
|
| 2916 |
+
"step": 381
|
| 2917 |
+
},
|
| 2918 |
+
{
|
| 2919 |
+
"epoch": 0.32372881355932204,
|
| 2920 |
+
"grad_norm": 1.8368139266967773,
|
| 2921 |
+
"learning_rate": 1.7102374388291182e-05,
|
| 2922 |
+
"loss": 0.0117,
|
| 2923 |
+
"step": 382
|
| 2924 |
+
},
|
| 2925 |
+
{
|
| 2926 |
+
"epoch": 0.32457627118644067,
|
| 2927 |
+
"grad_norm": 1.9440964460372925,
|
| 2928 |
+
"learning_rate": 1.7081518837292006e-05,
|
| 2929 |
+
"loss": 0.0113,
|
| 2930 |
+
"step": 383
|
| 2931 |
+
},
|
| 2932 |
+
{
|
| 2933 |
+
"epoch": 0.3254237288135593,
|
| 2934 |
+
"grad_norm": 1.4448236227035522,
|
| 2935 |
+
"learning_rate": 1.7060601316961504e-05,
|
| 2936 |
+
"loss": 0.0097,
|
| 2937 |
+
"step": 384
|
| 2938 |
+
},
|
| 2939 |
+
{
|
| 2940 |
+
"epoch": 0.326271186440678,
|
| 2941 |
+
"grad_norm": 1.075166940689087,
|
| 2942 |
+
"learning_rate": 1.7039622010345832e-05,
|
| 2943 |
+
"loss": 0.0087,
|
| 2944 |
+
"step": 385
|
| 2945 |
+
},
|
| 2946 |
+
{
|
| 2947 |
+
"epoch": 0.3271186440677966,
|
| 2948 |
+
"grad_norm": 1.9080896377563477,
|
| 2949 |
+
"learning_rate": 1.7018581101031814e-05,
|
| 2950 |
+
"loss": 0.014,
|
| 2951 |
+
"step": 386
|
| 2952 |
+
},
|
| 2953 |
+
{
|
| 2954 |
+
"epoch": 0.32796610169491525,
|
| 2955 |
+
"grad_norm": 0.934737503528595,
|
| 2956 |
+
"learning_rate": 1.6997478773145363e-05,
|
| 2957 |
+
"loss": 0.0074,
|
| 2958 |
+
"step": 387
|
| 2959 |
+
},
|
| 2960 |
+
{
|
| 2961 |
+
"epoch": 0.3288135593220339,
|
| 2962 |
+
"grad_norm": 1.9116491079330444,
|
| 2963 |
+
"learning_rate": 1.6976315211349848e-05,
|
| 2964 |
+
"loss": 0.024,
|
| 2965 |
+
"step": 388
|
| 2966 |
+
},
|
| 2967 |
+
{
|
| 2968 |
+
"epoch": 0.32966101694915256,
|
| 2969 |
+
"grad_norm": 0.9697662591934204,
|
| 2970 |
+
"learning_rate": 1.6955090600844494e-05,
|
| 2971 |
+
"loss": 0.0058,
|
| 2972 |
+
"step": 389
|
| 2973 |
+
},
|
| 2974 |
+
{
|
| 2975 |
+
"epoch": 0.3305084745762712,
|
| 2976 |
+
"grad_norm": 2.447063446044922,
|
| 2977 |
+
"learning_rate": 1.6933805127362744e-05,
|
| 2978 |
+
"loss": 0.0205,
|
| 2979 |
+
"step": 390
|
| 2980 |
+
},
|
| 2981 |
+
{
|
| 2982 |
+
"epoch": 0.3313559322033898,
|
| 2983 |
+
"grad_norm": 1.4310107231140137,
|
| 2984 |
+
"learning_rate": 1.6912458977170655e-05,
|
| 2985 |
+
"loss": 0.0289,
|
| 2986 |
+
"step": 391
|
| 2987 |
+
},
|
| 2988 |
+
{
|
| 2989 |
+
"epoch": 0.33220338983050846,
|
| 2990 |
+
"grad_norm": 1.9119633436203003,
|
| 2991 |
+
"learning_rate": 1.6891052337065256e-05,
|
| 2992 |
+
"loss": 0.0095,
|
| 2993 |
+
"step": 392
|
| 2994 |
+
},
|
| 2995 |
+
{
|
| 2996 |
+
"epoch": 0.33305084745762714,
|
| 2997 |
+
"grad_norm": 1.6527955532073975,
|
| 2998 |
+
"learning_rate": 1.68695853943729e-05,
|
| 2999 |
+
"loss": 0.0147,
|
| 3000 |
+
"step": 393
|
| 3001 |
+
},
|
| 3002 |
+
{
|
| 3003 |
+
"epoch": 0.3338983050847458,
|
| 3004 |
+
"grad_norm": 0.6647539138793945,
|
| 3005 |
+
"learning_rate": 1.6848058336947657e-05,
|
| 3006 |
+
"loss": 0.0045,
|
| 3007 |
+
"step": 394
|
| 3008 |
+
},
|
| 3009 |
+
{
|
| 3010 |
+
"epoch": 0.3347457627118644,
|
| 3011 |
+
"grad_norm": 2.0844597816467285,
|
| 3012 |
+
"learning_rate": 1.682647135316965e-05,
|
| 3013 |
+
"loss": 0.0057,
|
| 3014 |
+
"step": 395
|
| 3015 |
+
},
|
| 3016 |
+
{
|
| 3017 |
+
"epoch": 0.33559322033898303,
|
| 3018 |
+
"grad_norm": 1.3205703496932983,
|
| 3019 |
+
"learning_rate": 1.6804824631943385e-05,
|
| 3020 |
+
"loss": 0.0074,
|
| 3021 |
+
"step": 396
|
| 3022 |
+
},
|
| 3023 |
+
{
|
| 3024 |
+
"epoch": 0.3364406779661017,
|
| 3025 |
+
"grad_norm": 1.966313362121582,
|
| 3026 |
+
"learning_rate": 1.6783118362696162e-05,
|
| 3027 |
+
"loss": 0.0199,
|
| 3028 |
+
"step": 397
|
| 3029 |
+
},
|
| 3030 |
+
{
|
| 3031 |
+
"epoch": 0.33728813559322035,
|
| 3032 |
+
"grad_norm": 1.4938113689422607,
|
| 3033 |
+
"learning_rate": 1.6761352735376343e-05,
|
| 3034 |
+
"loss": 0.0098,
|
| 3035 |
+
"step": 398
|
| 3036 |
+
},
|
| 3037 |
+
{
|
| 3038 |
+
"epoch": 0.338135593220339,
|
| 3039 |
+
"grad_norm": 1.2858011722564697,
|
| 3040 |
+
"learning_rate": 1.6739527940451742e-05,
|
| 3041 |
+
"loss": 0.0055,
|
| 3042 |
+
"step": 399
|
| 3043 |
+
},
|
| 3044 |
+
{
|
| 3045 |
+
"epoch": 0.3389830508474576,
|
| 3046 |
+
"grad_norm": 2.423365592956543,
|
| 3047 |
+
"learning_rate": 1.671764416890793e-05,
|
| 3048 |
+
"loss": 0.0261,
|
| 3049 |
+
"step": 400
|
| 3050 |
+
},
|
| 3051 |
+
{
|
| 3052 |
+
"epoch": 0.3389830508474576,
|
| 3053 |
+
"eval_accuracy": 1.0,
|
| 3054 |
+
"eval_f1": 1.0,
|
| 3055 |
+
"eval_loss": 0.00033162630279548466,
|
| 3056 |
+
"eval_precision": 1.0,
|
| 3057 |
+
"eval_recall": 1.0,
|
| 3058 |
+
"eval_runtime": 51.2242,
|
| 3059 |
+
"eval_samples_per_second": 5.7,
|
| 3060 |
+
"eval_steps_per_second": 0.195,
|
| 3061 |
+
"step": 400
|
| 3062 |
}
|
| 3063 |
],
|
| 3064 |
"logging_steps": 1,
|
|
|
|
| 3078 |
"attributes": {}
|
| 3079 |
}
|
| 3080 |
},
|
| 3081 |
+
"total_flos": 1.2357669100716032e+17,
|
| 3082 |
"train_batch_size": 8,
|
| 3083 |
"trial_name": null,
|
| 3084 |
"trial_params": null
|