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 sha256:7e380ae04a5173aeaed71f5a23293af6a6b5ce9b37a1646c0f6027f825d779fc
|
| 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 sha256:4b043b19da04e16af34cc8400633335c68ab02712105f1221be29791b7d4e409
|
| 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 sha256:7f7f2a92d7df0f41408c607126dde2ec742d9311ee46369d1b8e81e62ba64c29
|
| 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 sha256:5ddb9986bf6ad380f520fbe804799f709d80c796ef3ff88134b3291fe5611761
|
| 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 sha256:9a5ac5a37a7f3a37a7f5328e215de1663f8e85b03df885c4f3a38576bbb58b65
|
| 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:a9c10492278bc53059b6ed6f765490ebda8641ddb2ca6422c5a3ff08f7b12216
|
| 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 sha256:3aac0a2ddbb2e0439e67de80ba07301bbb4f6fae538d608784bb99a990eb4374
|
| 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 sha256:70a08e5416ead83a8ca5a4737f339d26abe014328af01895f5dc9b9056c94042
|
| 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 15024
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f53af7b36bcb1f4a3830f3094a6baae96f54d6751f1aca6ab0241469f55b4c77
|
| 3 |
size 15024
|
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 15024
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b93e300fca3864a3b00ebf8f20bb271d3ee6a1118129c64855b165724ec8737a
|
| 3 |
size 15024
|
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 15024
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3aeed4b8b1f8111068fdf649eef309274cafb5724b7079e7c1ab8b7d24799ae1
|
| 3 |
size 15024
|
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 15024
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4bebf1ac8b6d22b64f12ee5515472ef4631edd26eaeae162231d65e567dd578f
|
| 3 |
size 15024
|
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:ba5d98c98ae03b619b5cc816786d7328ffd6502c6e3927d2220789c3367ca675
|
| 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": 5.298,
|
| 1540 |
"eval_steps_per_second": 0.172,
|
| 1541 |
"step": 200
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1542 |
}
|
| 1543 |
],
|
| 1544 |
"logging_steps": 1,
|
|
@@ -1558,7 +2318,7 @@
|
|
| 1558 |
"attributes": {}
|
| 1559 |
}
|
| 1560 |
},
|
| 1561 |
-
"total_flos":
|
| 1562 |
"train_batch_size": 6,
|
| 1563 |
"trial_name": null,
|
| 1564 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.37656903765690375,
|
| 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": 5.298,
|
| 1540 |
"eval_steps_per_second": 0.172,
|
| 1541 |
"step": 200
|
| 1542 |
+
},
|
| 1543 |
+
{
|
| 1544 |
+
"epoch": 0.25230125523012553,
|
| 1545 |
+
"grad_norm": 3.1597511768341064,
|
| 1546 |
+
"learning_rate": 1.8623458640038817e-05,
|
| 1547 |
+
"loss": 0.2417,
|
| 1548 |
+
"step": 201
|
| 1549 |
+
},
|
| 1550 |
+
{
|
| 1551 |
+
"epoch": 0.2535564853556485,
|
| 1552 |
+
"grad_norm": 4.373691558837891,
|
| 1553 |
+
"learning_rate": 1.8601159918043533e-05,
|
| 1554 |
+
"loss": 0.2408,
|
| 1555 |
+
"step": 202
|
| 1556 |
+
},
|
| 1557 |
+
{
|
| 1558 |
+
"epoch": 0.25481171548117154,
|
| 1559 |
+
"grad_norm": 3.5026726722717285,
|
| 1560 |
+
"learning_rate": 1.857869560760377e-05,
|
| 1561 |
+
"loss": 0.281,
|
| 1562 |
+
"step": 203
|
| 1563 |
+
},
|
| 1564 |
+
{
|
| 1565 |
+
"epoch": 0.2560669456066946,
|
| 1566 |
+
"grad_norm": 4.196898460388184,
|
| 1567 |
+
"learning_rate": 1.85560661411996e-05,
|
| 1568 |
+
"loss": 0.2201,
|
| 1569 |
+
"step": 204
|
| 1570 |
+
},
|
| 1571 |
+
{
|
| 1572 |
+
"epoch": 0.25732217573221755,
|
| 1573 |
+
"grad_norm": 3.8971402645111084,
|
| 1574 |
+
"learning_rate": 1.8533271954490655e-05,
|
| 1575 |
+
"loss": 0.2692,
|
| 1576 |
+
"step": 205
|
| 1577 |
+
},
|
| 1578 |
+
{
|
| 1579 |
+
"epoch": 0.2585774058577406,
|
| 1580 |
+
"grad_norm": 6.247049808502197,
|
| 1581 |
+
"learning_rate": 1.8510313486307734e-05,
|
| 1582 |
+
"loss": 0.2653,
|
| 1583 |
+
"step": 206
|
| 1584 |
+
},
|
| 1585 |
+
{
|
| 1586 |
+
"epoch": 0.2598326359832636,
|
| 1587 |
+
"grad_norm": 5.326446056365967,
|
| 1588 |
+
"learning_rate": 1.848719117864437e-05,
|
| 1589 |
+
"loss": 0.2857,
|
| 1590 |
+
"step": 207
|
| 1591 |
+
},
|
| 1592 |
+
{
|
| 1593 |
+
"epoch": 0.2610878661087866,
|
| 1594 |
+
"grad_norm": 3.6153714656829834,
|
| 1595 |
+
"learning_rate": 1.846390547664831e-05,
|
| 1596 |
+
"loss": 0.262,
|
| 1597 |
+
"step": 208
|
| 1598 |
+
},
|
| 1599 |
+
{
|
| 1600 |
+
"epoch": 0.2623430962343096,
|
| 1601 |
+
"grad_norm": 6.952093124389648,
|
| 1602 |
+
"learning_rate": 1.8440456828612946e-05,
|
| 1603 |
+
"loss": 0.2807,
|
| 1604 |
+
"step": 209
|
| 1605 |
+
},
|
| 1606 |
+
{
|
| 1607 |
+
"epoch": 0.26359832635983266,
|
| 1608 |
+
"grad_norm": 3.8363044261932373,
|
| 1609 |
+
"learning_rate": 1.841684568596869e-05,
|
| 1610 |
+
"loss": 0.2604,
|
| 1611 |
+
"step": 210
|
| 1612 |
+
},
|
| 1613 |
+
{
|
| 1614 |
+
"epoch": 0.26485355648535563,
|
| 1615 |
+
"grad_norm": 3.643761396408081,
|
| 1616 |
+
"learning_rate": 1.8393072503274277e-05,
|
| 1617 |
+
"loss": 0.2796,
|
| 1618 |
+
"step": 211
|
| 1619 |
+
},
|
| 1620 |
+
{
|
| 1621 |
+
"epoch": 0.26610878661087867,
|
| 1622 |
+
"grad_norm": 3.259951114654541,
|
| 1623 |
+
"learning_rate": 1.836913773820802e-05,
|
| 1624 |
+
"loss": 0.2724,
|
| 1625 |
+
"step": 212
|
| 1626 |
+
},
|
| 1627 |
+
{
|
| 1628 |
+
"epoch": 0.2673640167364017,
|
| 1629 |
+
"grad_norm": 4.189282417297363,
|
| 1630 |
+
"learning_rate": 1.834504185155899e-05,
|
| 1631 |
+
"loss": 0.2455,
|
| 1632 |
+
"step": 213
|
| 1633 |
+
},
|
| 1634 |
+
{
|
| 1635 |
+
"epoch": 0.2686192468619247,
|
| 1636 |
+
"grad_norm": 4.426260948181152,
|
| 1637 |
+
"learning_rate": 1.832078530721816e-05,
|
| 1638 |
+
"loss": 0.2975,
|
| 1639 |
+
"step": 214
|
| 1640 |
+
},
|
| 1641 |
+
{
|
| 1642 |
+
"epoch": 0.2698744769874477,
|
| 1643 |
+
"grad_norm": 4.503783226013184,
|
| 1644 |
+
"learning_rate": 1.829636857216945e-05,
|
| 1645 |
+
"loss": 0.2852,
|
| 1646 |
+
"step": 215
|
| 1647 |
+
},
|
| 1648 |
+
{
|
| 1649 |
+
"epoch": 0.2711297071129707,
|
| 1650 |
+
"grad_norm": 4.618401527404785,
|
| 1651 |
+
"learning_rate": 1.8271792116480767e-05,
|
| 1652 |
+
"loss": 0.3006,
|
| 1653 |
+
"step": 216
|
| 1654 |
+
},
|
| 1655 |
+
{
|
| 1656 |
+
"epoch": 0.2723849372384937,
|
| 1657 |
+
"grad_norm": 5.484090805053711,
|
| 1658 |
+
"learning_rate": 1.8247056413294927e-05,
|
| 1659 |
+
"loss": 0.3397,
|
| 1660 |
+
"step": 217
|
| 1661 |
+
},
|
| 1662 |
+
{
|
| 1663 |
+
"epoch": 0.27364016736401675,
|
| 1664 |
+
"grad_norm": 4.215097427368164,
|
| 1665 |
+
"learning_rate": 1.8222161938820564e-05,
|
| 1666 |
+
"loss": 0.312,
|
| 1667 |
+
"step": 218
|
| 1668 |
+
},
|
| 1669 |
+
{
|
| 1670 |
+
"epoch": 0.27489539748953973,
|
| 1671 |
+
"grad_norm": 2.8045787811279297,
|
| 1672 |
+
"learning_rate": 1.8197109172322958e-05,
|
| 1673 |
+
"loss": 0.2896,
|
| 1674 |
+
"step": 219
|
| 1675 |
+
},
|
| 1676 |
+
{
|
| 1677 |
+
"epoch": 0.27615062761506276,
|
| 1678 |
+
"grad_norm": 3.3742685317993164,
|
| 1679 |
+
"learning_rate": 1.8171898596114804e-05,
|
| 1680 |
+
"loss": 0.2715,
|
| 1681 |
+
"step": 220
|
| 1682 |
+
},
|
| 1683 |
+
{
|
| 1684 |
+
"epoch": 0.27615062761506276,
|
| 1685 |
+
"eval_accuracy": 0.8410596026490066,
|
| 1686 |
+
"eval_f1": 0.6587677725118484,
|
| 1687 |
+
"eval_loss": 0.3223263919353485,
|
| 1688 |
+
"eval_precision": 0.8273809523809523,
|
| 1689 |
+
"eval_recall": 0.547244094488189,
|
| 1690 |
+
"eval_runtime": 52.2317,
|
| 1691 |
+
"eval_samples_per_second": 5.303,
|
| 1692 |
+
"eval_steps_per_second": 0.172,
|
| 1693 |
+
"step": 220
|
| 1694 |
+
},
|
| 1695 |
+
{
|
| 1696 |
+
"epoch": 0.2774058577405858,
|
| 1697 |
+
"grad_norm": 2.477954149246216,
|
| 1698 |
+
"learning_rate": 1.8146530695546934e-05,
|
| 1699 |
+
"loss": 0.2171,
|
| 1700 |
+
"step": 221
|
| 1701 |
+
},
|
| 1702 |
+
{
|
| 1703 |
+
"epoch": 0.27866108786610877,
|
| 1704 |
+
"grad_norm": 3.73885440826416,
|
| 1705 |
+
"learning_rate": 1.8121005958998968e-05,
|
| 1706 |
+
"loss": 0.3282,
|
| 1707 |
+
"step": 222
|
| 1708 |
+
},
|
| 1709 |
+
{
|
| 1710 |
+
"epoch": 0.2799163179916318,
|
| 1711 |
+
"grad_norm": 3.0945334434509277,
|
| 1712 |
+
"learning_rate": 1.8095324877869902e-05,
|
| 1713 |
+
"loss": 0.2823,
|
| 1714 |
+
"step": 223
|
| 1715 |
+
},
|
| 1716 |
+
{
|
| 1717 |
+
"epoch": 0.28117154811715483,
|
| 1718 |
+
"grad_norm": 3.98866868019104,
|
| 1719 |
+
"learning_rate": 1.8069487946568675e-05,
|
| 1720 |
+
"loss": 0.3008,
|
| 1721 |
+
"step": 224
|
| 1722 |
+
},
|
| 1723 |
+
{
|
| 1724 |
+
"epoch": 0.2824267782426778,
|
| 1725 |
+
"grad_norm": 3.4288768768310547,
|
| 1726 |
+
"learning_rate": 1.804349566250462e-05,
|
| 1727 |
+
"loss": 0.2644,
|
| 1728 |
+
"step": 225
|
| 1729 |
+
},
|
| 1730 |
+
{
|
| 1731 |
+
"epoch": 0.28368200836820084,
|
| 1732 |
+
"grad_norm": 3.3643836975097656,
|
| 1733 |
+
"learning_rate": 1.801734852607791e-05,
|
| 1734 |
+
"loss": 0.2543,
|
| 1735 |
+
"step": 226
|
| 1736 |
+
},
|
| 1737 |
+
{
|
| 1738 |
+
"epoch": 0.2849372384937239,
|
| 1739 |
+
"grad_norm": 5.725021839141846,
|
| 1740 |
+
"learning_rate": 1.799104704066991e-05,
|
| 1741 |
+
"loss": 0.2827,
|
| 1742 |
+
"step": 227
|
| 1743 |
+
},
|
| 1744 |
+
{
|
| 1745 |
+
"epoch": 0.28619246861924685,
|
| 1746 |
+
"grad_norm": 4.484889507293701,
|
| 1747 |
+
"learning_rate": 1.79645917126335e-05,
|
| 1748 |
+
"loss": 0.3096,
|
| 1749 |
+
"step": 228
|
| 1750 |
+
},
|
| 1751 |
+
{
|
| 1752 |
+
"epoch": 0.2874476987447699,
|
| 1753 |
+
"grad_norm": 5.622531414031982,
|
| 1754 |
+
"learning_rate": 1.7937983051283312e-05,
|
| 1755 |
+
"loss": 0.3283,
|
| 1756 |
+
"step": 229
|
| 1757 |
+
},
|
| 1758 |
+
{
|
| 1759 |
+
"epoch": 0.28870292887029286,
|
| 1760 |
+
"grad_norm": 4.898491382598877,
|
| 1761 |
+
"learning_rate": 1.7911221568885935e-05,
|
| 1762 |
+
"loss": 0.2316,
|
| 1763 |
+
"step": 230
|
| 1764 |
+
},
|
| 1765 |
+
{
|
| 1766 |
+
"epoch": 0.2899581589958159,
|
| 1767 |
+
"grad_norm": 4.367154121398926,
|
| 1768 |
+
"learning_rate": 1.7884307780650047e-05,
|
| 1769 |
+
"loss": 0.2739,
|
| 1770 |
+
"step": 231
|
| 1771 |
+
},
|
| 1772 |
+
{
|
| 1773 |
+
"epoch": 0.29121338912133893,
|
| 1774 |
+
"grad_norm": 4.016841888427734,
|
| 1775 |
+
"learning_rate": 1.7857242204716497e-05,
|
| 1776 |
+
"loss": 0.2375,
|
| 1777 |
+
"step": 232
|
| 1778 |
+
},
|
| 1779 |
+
{
|
| 1780 |
+
"epoch": 0.2924686192468619,
|
| 1781 |
+
"grad_norm": 3.615976333618164,
|
| 1782 |
+
"learning_rate": 1.783002536214834e-05,
|
| 1783 |
+
"loss": 0.2644,
|
| 1784 |
+
"step": 233
|
| 1785 |
+
},
|
| 1786 |
+
{
|
| 1787 |
+
"epoch": 0.29372384937238494,
|
| 1788 |
+
"grad_norm": 5.212274074554443,
|
| 1789 |
+
"learning_rate": 1.780265777692079e-05,
|
| 1790 |
+
"loss": 0.3412,
|
| 1791 |
+
"step": 234
|
| 1792 |
+
},
|
| 1793 |
+
{
|
| 1794 |
+
"epoch": 0.29497907949790797,
|
| 1795 |
+
"grad_norm": 3.3848087787628174,
|
| 1796 |
+
"learning_rate": 1.7775139975911143e-05,
|
| 1797 |
+
"loss": 0.2489,
|
| 1798 |
+
"step": 235
|
| 1799 |
+
},
|
| 1800 |
+
{
|
| 1801 |
+
"epoch": 0.29623430962343095,
|
| 1802 |
+
"grad_norm": 5.973453998565674,
|
| 1803 |
+
"learning_rate": 1.7747472488888622e-05,
|
| 1804 |
+
"loss": 0.2657,
|
| 1805 |
+
"step": 236
|
| 1806 |
+
},
|
| 1807 |
+
{
|
| 1808 |
+
"epoch": 0.297489539748954,
|
| 1809 |
+
"grad_norm": 4.158175468444824,
|
| 1810 |
+
"learning_rate": 1.77196558485042e-05,
|
| 1811 |
+
"loss": 0.2951,
|
| 1812 |
+
"step": 237
|
| 1813 |
+
},
|
| 1814 |
+
{
|
| 1815 |
+
"epoch": 0.298744769874477,
|
| 1816 |
+
"grad_norm": 3.3108043670654297,
|
| 1817 |
+
"learning_rate": 1.7691690590280325e-05,
|
| 1818 |
+
"loss": 0.26,
|
| 1819 |
+
"step": 238
|
| 1820 |
+
},
|
| 1821 |
+
{
|
| 1822 |
+
"epoch": 0.3,
|
| 1823 |
+
"grad_norm": 4.062819480895996,
|
| 1824 |
+
"learning_rate": 1.7663577252600612e-05,
|
| 1825 |
+
"loss": 0.2535,
|
| 1826 |
+
"step": 239
|
| 1827 |
+
},
|
| 1828 |
+
{
|
| 1829 |
+
"epoch": 0.301255230125523,
|
| 1830 |
+
"grad_norm": 4.0478339195251465,
|
| 1831 |
+
"learning_rate": 1.763531637669949e-05,
|
| 1832 |
+
"loss": 0.2737,
|
| 1833 |
+
"step": 240
|
| 1834 |
+
},
|
| 1835 |
+
{
|
| 1836 |
+
"epoch": 0.301255230125523,
|
| 1837 |
+
"eval_accuracy": 0.8520971302428256,
|
| 1838 |
+
"eval_f1": 0.6995515695067265,
|
| 1839 |
+
"eval_loss": 0.3201642632484436,
|
| 1840 |
+
"eval_precision": 0.8125,
|
| 1841 |
+
"eval_recall": 0.6141732283464567,
|
| 1842 |
+
"eval_runtime": 52.8485,
|
| 1843 |
+
"eval_samples_per_second": 5.241,
|
| 1844 |
+
"eval_steps_per_second": 0.17,
|
| 1845 |
+
"step": 240
|
| 1846 |
+
},
|
| 1847 |
+
{
|
| 1848 |
+
"epoch": 0.302510460251046,
|
| 1849 |
+
"grad_norm": 5.782260894775391,
|
| 1850 |
+
"learning_rate": 1.760690850665177e-05,
|
| 1851 |
+
"loss": 0.2356,
|
| 1852 |
+
"step": 241
|
| 1853 |
+
},
|
| 1854 |
+
{
|
| 1855 |
+
"epoch": 0.30376569037656903,
|
| 1856 |
+
"grad_norm": 4.108422756195068,
|
| 1857 |
+
"learning_rate": 1.7578354189362183e-05,
|
| 1858 |
+
"loss": 0.2658,
|
| 1859 |
+
"step": 242
|
| 1860 |
+
},
|
| 1861 |
+
{
|
| 1862 |
+
"epoch": 0.30502092050209206,
|
| 1863 |
+
"grad_norm": 2.872807264328003,
|
| 1864 |
+
"learning_rate": 1.7549653974554835e-05,
|
| 1865 |
+
"loss": 0.3048,
|
| 1866 |
+
"step": 243
|
| 1867 |
+
},
|
| 1868 |
+
{
|
| 1869 |
+
"epoch": 0.30627615062761504,
|
| 1870 |
+
"grad_norm": 3.7681846618652344,
|
| 1871 |
+
"learning_rate": 1.752080841476264e-05,
|
| 1872 |
+
"loss": 0.2832,
|
| 1873 |
+
"step": 244
|
| 1874 |
+
},
|
| 1875 |
+
{
|
| 1876 |
+
"epoch": 0.3075313807531381,
|
| 1877 |
+
"grad_norm": 6.7302069664001465,
|
| 1878 |
+
"learning_rate": 1.7491818065316676e-05,
|
| 1879 |
+
"loss": 0.2518,
|
| 1880 |
+
"step": 245
|
| 1881 |
+
},
|
| 1882 |
+
{
|
| 1883 |
+
"epoch": 0.3087866108786611,
|
| 1884 |
+
"grad_norm": 7.851168155670166,
|
| 1885 |
+
"learning_rate": 1.7462683484335477e-05,
|
| 1886 |
+
"loss": 0.2188,
|
| 1887 |
+
"step": 246
|
| 1888 |
+
},
|
| 1889 |
+
{
|
| 1890 |
+
"epoch": 0.3100418410041841,
|
| 1891 |
+
"grad_norm": 5.26230001449585,
|
| 1892 |
+
"learning_rate": 1.7433405232714325e-05,
|
| 1893 |
+
"loss": 0.2898,
|
| 1894 |
+
"step": 247
|
| 1895 |
+
},
|
| 1896 |
+
{
|
| 1897 |
+
"epoch": 0.3112970711297071,
|
| 1898 |
+
"grad_norm": 3.618230104446411,
|
| 1899 |
+
"learning_rate": 1.7403983874114422e-05,
|
| 1900 |
+
"loss": 0.2303,
|
| 1901 |
+
"step": 248
|
| 1902 |
+
},
|
| 1903 |
+
{
|
| 1904 |
+
"epoch": 0.31255230125523015,
|
| 1905 |
+
"grad_norm": 3.8040518760681152,
|
| 1906 |
+
"learning_rate": 1.7374419974952045e-05,
|
| 1907 |
+
"loss": 0.3179,
|
| 1908 |
+
"step": 249
|
| 1909 |
+
},
|
| 1910 |
+
{
|
| 1911 |
+
"epoch": 0.3138075313807531,
|
| 1912 |
+
"grad_norm": 3.1975717544555664,
|
| 1913 |
+
"learning_rate": 1.734471410438765e-05,
|
| 1914 |
+
"loss": 0.2503,
|
| 1915 |
+
"step": 250
|
| 1916 |
+
},
|
| 1917 |
+
{
|
| 1918 |
+
"epoch": 0.31506276150627616,
|
| 1919 |
+
"grad_norm": 2.8378207683563232,
|
| 1920 |
+
"learning_rate": 1.731486683431491e-05,
|
| 1921 |
+
"loss": 0.2424,
|
| 1922 |
+
"step": 251
|
| 1923 |
+
},
|
| 1924 |
+
{
|
| 1925 |
+
"epoch": 0.3163179916317992,
|
| 1926 |
+
"grad_norm": 5.816548824310303,
|
| 1927 |
+
"learning_rate": 1.728487873934969e-05,
|
| 1928 |
+
"loss": 0.2567,
|
| 1929 |
+
"step": 252
|
| 1930 |
+
},
|
| 1931 |
+
{
|
| 1932 |
+
"epoch": 0.31757322175732217,
|
| 1933 |
+
"grad_norm": 3.5895259380340576,
|
| 1934 |
+
"learning_rate": 1.7254750396819008e-05,
|
| 1935 |
+
"loss": 0.2762,
|
| 1936 |
+
"step": 253
|
| 1937 |
+
},
|
| 1938 |
+
{
|
| 1939 |
+
"epoch": 0.3188284518828452,
|
| 1940 |
+
"grad_norm": 3.293178081512451,
|
| 1941 |
+
"learning_rate": 1.7224482386749916e-05,
|
| 1942 |
+
"loss": 0.2801,
|
| 1943 |
+
"step": 254
|
| 1944 |
+
},
|
| 1945 |
+
{
|
| 1946 |
+
"epoch": 0.3200836820083682,
|
| 1947 |
+
"grad_norm": 3.76770281791687,
|
| 1948 |
+
"learning_rate": 1.719407529185831e-05,
|
| 1949 |
+
"loss": 0.2545,
|
| 1950 |
+
"step": 255
|
| 1951 |
+
},
|
| 1952 |
+
{
|
| 1953 |
+
"epoch": 0.3213389121338912,
|
| 1954 |
+
"grad_norm": 3.1176042556762695,
|
| 1955 |
+
"learning_rate": 1.7163529697537756e-05,
|
| 1956 |
+
"loss": 0.2608,
|
| 1957 |
+
"step": 256
|
| 1958 |
+
},
|
| 1959 |
+
{
|
| 1960 |
+
"epoch": 0.32259414225941424,
|
| 1961 |
+
"grad_norm": 3.789315700531006,
|
| 1962 |
+
"learning_rate": 1.7132846191848167e-05,
|
| 1963 |
+
"loss": 0.2708,
|
| 1964 |
+
"step": 257
|
| 1965 |
+
},
|
| 1966 |
+
{
|
| 1967 |
+
"epoch": 0.3238493723849372,
|
| 1968 |
+
"grad_norm": 5.817142963409424,
|
| 1969 |
+
"learning_rate": 1.7102025365504524e-05,
|
| 1970 |
+
"loss": 0.3254,
|
| 1971 |
+
"step": 258
|
| 1972 |
+
},
|
| 1973 |
+
{
|
| 1974 |
+
"epoch": 0.32510460251046025,
|
| 1975 |
+
"grad_norm": 4.174067497253418,
|
| 1976 |
+
"learning_rate": 1.7071067811865477e-05,
|
| 1977 |
+
"loss": 0.2826,
|
| 1978 |
+
"step": 259
|
| 1979 |
+
},
|
| 1980 |
+
{
|
| 1981 |
+
"epoch": 0.3263598326359833,
|
| 1982 |
+
"grad_norm": 4.383941173553467,
|
| 1983 |
+
"learning_rate": 1.7039974126921946e-05,
|
| 1984 |
+
"loss": 0.3245,
|
| 1985 |
+
"step": 260
|
| 1986 |
+
},
|
| 1987 |
+
{
|
| 1988 |
+
"epoch": 0.3263598326359833,
|
| 1989 |
+
"eval_accuracy": 0.8465783664459161,
|
| 1990 |
+
"eval_f1": 0.6774941995359629,
|
| 1991 |
+
"eval_loss": 0.30984166264533997,
|
| 1992 |
+
"eval_precision": 0.8248587570621468,
|
| 1993 |
+
"eval_recall": 0.5748031496062992,
|
| 1994 |
+
"eval_runtime": 52.3032,
|
| 1995 |
+
"eval_samples_per_second": 5.296,
|
| 1996 |
+
"eval_steps_per_second": 0.172,
|
| 1997 |
+
"step": 260
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"epoch": 0.32761506276150626,
|
| 2001 |
+
"grad_norm": 4.471529960632324,
|
| 2002 |
+
"learning_rate": 1.7008744909285626e-05,
|
| 2003 |
+
"loss": 0.2658,
|
| 2004 |
+
"step": 261
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 0.3288702928870293,
|
| 2008 |
+
"grad_norm": 4.479955673217773,
|
| 2009 |
+
"learning_rate": 1.6977380760177467e-05,
|
| 2010 |
+
"loss": 0.3076,
|
| 2011 |
+
"step": 262
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"epoch": 0.3301255230125523,
|
| 2015 |
+
"grad_norm": 3.6632466316223145,
|
| 2016 |
+
"learning_rate": 1.694588228341611e-05,
|
| 2017 |
+
"loss": 0.2387,
|
| 2018 |
+
"step": 263
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 0.3313807531380753,
|
| 2022 |
+
"grad_norm": 3.813127040863037,
|
| 2023 |
+
"learning_rate": 1.691425008540625e-05,
|
| 2024 |
+
"loss": 0.2575,
|
| 2025 |
+
"step": 264
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 0.33263598326359833,
|
| 2029 |
+
"grad_norm": 3.7820916175842285,
|
| 2030 |
+
"learning_rate": 1.6882484775126968e-05,
|
| 2031 |
+
"loss": 0.2517,
|
| 2032 |
+
"step": 265
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"epoch": 0.33389121338912137,
|
| 2036 |
+
"grad_norm": 3.487283229827881,
|
| 2037 |
+
"learning_rate": 1.6850586964120005e-05,
|
| 2038 |
+
"loss": 0.2898,
|
| 2039 |
+
"step": 266
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"epoch": 0.33514644351464434,
|
| 2043 |
+
"grad_norm": 5.123818397521973,
|
| 2044 |
+
"learning_rate": 1.6818557266477993e-05,
|
| 2045 |
+
"loss": 0.2758,
|
| 2046 |
+
"step": 267
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 0.3364016736401674,
|
| 2050 |
+
"grad_norm": 3.208160400390625,
|
| 2051 |
+
"learning_rate": 1.6786396298832622e-05,
|
| 2052 |
+
"loss": 0.2846,
|
| 2053 |
+
"step": 268
|
| 2054 |
+
},
|
| 2055 |
+
{
|
| 2056 |
+
"epoch": 0.33765690376569035,
|
| 2057 |
+
"grad_norm": 2.8521032333374023,
|
| 2058 |
+
"learning_rate": 1.6754104680342783e-05,
|
| 2059 |
+
"loss": 0.2573,
|
| 2060 |
+
"step": 269
|
| 2061 |
+
},
|
| 2062 |
+
{
|
| 2063 |
+
"epoch": 0.3389121338912134,
|
| 2064 |
+
"grad_norm": 2.8169782161712646,
|
| 2065 |
+
"learning_rate": 1.6721683032682637e-05,
|
| 2066 |
+
"loss": 0.2259,
|
| 2067 |
+
"step": 270
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 0.3401673640167364,
|
| 2071 |
+
"grad_norm": 3.7779228687286377,
|
| 2072 |
+
"learning_rate": 1.6689131980029647e-05,
|
| 2073 |
+
"loss": 0.2947,
|
| 2074 |
+
"step": 271
|
| 2075 |
+
},
|
| 2076 |
+
{
|
| 2077 |
+
"epoch": 0.3414225941422594,
|
| 2078 |
+
"grad_norm": 4.368408203125,
|
| 2079 |
+
"learning_rate": 1.6656452149052568e-05,
|
| 2080 |
+
"loss": 0.2654,
|
| 2081 |
+
"step": 272
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 0.3426778242677824,
|
| 2085 |
+
"grad_norm": 3.421369791030884,
|
| 2086 |
+
"learning_rate": 1.662364416889938e-05,
|
| 2087 |
+
"loss": 0.2921,
|
| 2088 |
+
"step": 273
|
| 2089 |
+
},
|
| 2090 |
+
{
|
| 2091 |
+
"epoch": 0.34393305439330546,
|
| 2092 |
+
"grad_norm": 4.275522232055664,
|
| 2093 |
+
"learning_rate": 1.6590708671185176e-05,
|
| 2094 |
+
"loss": 0.2527,
|
| 2095 |
+
"step": 274
|
| 2096 |
+
},
|
| 2097 |
+
{
|
| 2098 |
+
"epoch": 0.34518828451882844,
|
| 2099 |
+
"grad_norm": 3.0027596950531006,
|
| 2100 |
+
"learning_rate": 1.6557646289979996e-05,
|
| 2101 |
+
"loss": 0.2031,
|
| 2102 |
+
"step": 275
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 0.34644351464435147,
|
| 2106 |
+
"grad_norm": 3.2799339294433594,
|
| 2107 |
+
"learning_rate": 1.6524457661796626e-05,
|
| 2108 |
+
"loss": 0.2276,
|
| 2109 |
+
"step": 276
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 0.3476987447698745,
|
| 2113 |
+
"grad_norm": 3.7090659141540527,
|
| 2114 |
+
"learning_rate": 1.6491143425578345e-05,
|
| 2115 |
+
"loss": 0.2264,
|
| 2116 |
+
"step": 277
|
| 2117 |
+
},
|
| 2118 |
+
{
|
| 2119 |
+
"epoch": 0.3489539748953975,
|
| 2120 |
+
"grad_norm": 6.081251621246338,
|
| 2121 |
+
"learning_rate": 1.645770422268662e-05,
|
| 2122 |
+
"loss": 0.3315,
|
| 2123 |
+
"step": 278
|
| 2124 |
+
},
|
| 2125 |
+
{
|
| 2126 |
+
"epoch": 0.3502092050209205,
|
| 2127 |
+
"grad_norm": 5.695575714111328,
|
| 2128 |
+
"learning_rate": 1.6424140696888765e-05,
|
| 2129 |
+
"loss": 0.2948,
|
| 2130 |
+
"step": 279
|
| 2131 |
+
},
|
| 2132 |
+
{
|
| 2133 |
+
"epoch": 0.3514644351464435,
|
| 2134 |
+
"grad_norm": 4.191822052001953,
|
| 2135 |
+
"learning_rate": 1.639045349434554e-05,
|
| 2136 |
+
"loss": 0.2868,
|
| 2137 |
+
"step": 280
|
| 2138 |
+
},
|
| 2139 |
+
{
|
| 2140 |
+
"epoch": 0.3514644351464435,
|
| 2141 |
+
"eval_accuracy": 0.8432671081677704,
|
| 2142 |
+
"eval_f1": 0.6830357142857143,
|
| 2143 |
+
"eval_loss": 0.3159337043762207,
|
| 2144 |
+
"eval_precision": 0.788659793814433,
|
| 2145 |
+
"eval_recall": 0.6023622047244095,
|
| 2146 |
+
"eval_runtime": 52.6769,
|
| 2147 |
+
"eval_samples_per_second": 5.258,
|
| 2148 |
+
"eval_steps_per_second": 0.171,
|
| 2149 |
+
"step": 280
|
| 2150 |
+
},
|
| 2151 |
+
{
|
| 2152 |
+
"epoch": 0.3527196652719665,
|
| 2153 |
+
"grad_norm": 4.9057183265686035,
|
| 2154 |
+
"learning_rate": 1.6356643263598716e-05,
|
| 2155 |
+
"loss": 0.3545,
|
| 2156 |
+
"step": 281
|
| 2157 |
+
},
|
| 2158 |
+
{
|
| 2159 |
+
"epoch": 0.35397489539748955,
|
| 2160 |
+
"grad_norm": 6.470303058624268,
|
| 2161 |
+
"learning_rate": 1.6322710655558577e-05,
|
| 2162 |
+
"loss": 0.3414,
|
| 2163 |
+
"step": 282
|
| 2164 |
+
},
|
| 2165 |
+
{
|
| 2166 |
+
"epoch": 0.35523012552301253,
|
| 2167 |
+
"grad_norm": 3.9251017570495605,
|
| 2168 |
+
"learning_rate": 1.6288656323491415e-05,
|
| 2169 |
+
"loss": 0.2573,
|
| 2170 |
+
"step": 283
|
| 2171 |
+
},
|
| 2172 |
+
{
|
| 2173 |
+
"epoch": 0.35648535564853556,
|
| 2174 |
+
"grad_norm": 4.604090213775635,
|
| 2175 |
+
"learning_rate": 1.6254480923006924e-05,
|
| 2176 |
+
"loss": 0.226,
|
| 2177 |
+
"step": 284
|
| 2178 |
+
},
|
| 2179 |
+
{
|
| 2180 |
+
"epoch": 0.3577405857740586,
|
| 2181 |
+
"grad_norm": 6.23361873626709,
|
| 2182 |
+
"learning_rate": 1.6220185112045606e-05,
|
| 2183 |
+
"loss": 0.2693,
|
| 2184 |
+
"step": 285
|
| 2185 |
+
},
|
| 2186 |
+
{
|
| 2187 |
+
"epoch": 0.35899581589958157,
|
| 2188 |
+
"grad_norm": 3.5196187496185303,
|
| 2189 |
+
"learning_rate": 1.6185769550866073e-05,
|
| 2190 |
+
"loss": 0.2104,
|
| 2191 |
+
"step": 286
|
| 2192 |
+
},
|
| 2193 |
+
{
|
| 2194 |
+
"epoch": 0.3602510460251046,
|
| 2195 |
+
"grad_norm": 5.589550495147705,
|
| 2196 |
+
"learning_rate": 1.6151234902032374e-05,
|
| 2197 |
+
"loss": 0.3379,
|
| 2198 |
+
"step": 287
|
| 2199 |
+
},
|
| 2200 |
+
{
|
| 2201 |
+
"epoch": 0.36150627615062764,
|
| 2202 |
+
"grad_norm": 3.052987813949585,
|
| 2203 |
+
"learning_rate": 1.6116581830401193e-05,
|
| 2204 |
+
"loss": 0.2646,
|
| 2205 |
+
"step": 288
|
| 2206 |
+
},
|
| 2207 |
+
{
|
| 2208 |
+
"epoch": 0.3627615062761506,
|
| 2209 |
+
"grad_norm": 2.715062141418457,
|
| 2210 |
+
"learning_rate": 1.60818110031091e-05,
|
| 2211 |
+
"loss": 0.2731,
|
| 2212 |
+
"step": 289
|
| 2213 |
+
},
|
| 2214 |
+
{
|
| 2215 |
+
"epoch": 0.36401673640167365,
|
| 2216 |
+
"grad_norm": 3.9851012229919434,
|
| 2217 |
+
"learning_rate": 1.6046923089559667e-05,
|
| 2218 |
+
"loss": 0.2482,
|
| 2219 |
+
"step": 290
|
| 2220 |
+
},
|
| 2221 |
+
{
|
| 2222 |
+
"epoch": 0.3652719665271967,
|
| 2223 |
+
"grad_norm": 4.131580352783203,
|
| 2224 |
+
"learning_rate": 1.6011918761410596e-05,
|
| 2225 |
+
"loss": 0.2916,
|
| 2226 |
+
"step": 291
|
| 2227 |
+
},
|
| 2228 |
+
{
|
| 2229 |
+
"epoch": 0.36652719665271966,
|
| 2230 |
+
"grad_norm": 5.364291667938232,
|
| 2231 |
+
"learning_rate": 1.5976798692560796e-05,
|
| 2232 |
+
"loss": 0.3029,
|
| 2233 |
+
"step": 292
|
| 2234 |
+
},
|
| 2235 |
+
{
|
| 2236 |
+
"epoch": 0.3677824267782427,
|
| 2237 |
+
"grad_norm": 3.139458417892456,
|
| 2238 |
+
"learning_rate": 1.5941563559137398e-05,
|
| 2239 |
+
"loss": 0.2396,
|
| 2240 |
+
"step": 293
|
| 2241 |
+
},
|
| 2242 |
+
{
|
| 2243 |
+
"epoch": 0.36903765690376567,
|
| 2244 |
+
"grad_norm": 3.1862568855285645,
|
| 2245 |
+
"learning_rate": 1.5906214039482732e-05,
|
| 2246 |
+
"loss": 0.2504,
|
| 2247 |
+
"step": 294
|
| 2248 |
+
},
|
| 2249 |
+
{
|
| 2250 |
+
"epoch": 0.3702928870292887,
|
| 2251 |
+
"grad_norm": 3.489682912826538,
|
| 2252 |
+
"learning_rate": 1.5870750814141296e-05,
|
| 2253 |
+
"loss": 0.2214,
|
| 2254 |
+
"step": 295
|
| 2255 |
+
},
|
| 2256 |
+
{
|
| 2257 |
+
"epoch": 0.37154811715481173,
|
| 2258 |
+
"grad_norm": 4.336936950683594,
|
| 2259 |
+
"learning_rate": 1.5835174565846624e-05,
|
| 2260 |
+
"loss": 0.3056,
|
| 2261 |
+
"step": 296
|
| 2262 |
+
},
|
| 2263 |
+
{
|
| 2264 |
+
"epoch": 0.3728033472803347,
|
| 2265 |
+
"grad_norm": 3.281315803527832,
|
| 2266 |
+
"learning_rate": 1.579948597950815e-05,
|
| 2267 |
+
"loss": 0.2579,
|
| 2268 |
+
"step": 297
|
| 2269 |
+
},
|
| 2270 |
+
{
|
| 2271 |
+
"epoch": 0.37405857740585774,
|
| 2272 |
+
"grad_norm": 7.08855676651001,
|
| 2273 |
+
"learning_rate": 1.576368574219804e-05,
|
| 2274 |
+
"loss": 0.295,
|
| 2275 |
+
"step": 298
|
| 2276 |
+
},
|
| 2277 |
+
{
|
| 2278 |
+
"epoch": 0.37531380753138077,
|
| 2279 |
+
"grad_norm": 5.177116394042969,
|
| 2280 |
+
"learning_rate": 1.5727774543137927e-05,
|
| 2281 |
+
"loss": 0.2363,
|
| 2282 |
+
"step": 299
|
| 2283 |
+
},
|
| 2284 |
+
{
|
| 2285 |
+
"epoch": 0.37656903765690375,
|
| 2286 |
+
"grad_norm": 2.4472217559814453,
|
| 2287 |
+
"learning_rate": 1.5691753073685692e-05,
|
| 2288 |
+
"loss": 0.2601,
|
| 2289 |
+
"step": 300
|
| 2290 |
+
},
|
| 2291 |
+
{
|
| 2292 |
+
"epoch": 0.37656903765690375,
|
| 2293 |
+
"eval_accuracy": 0.8587196467991169,
|
| 2294 |
+
"eval_f1": 0.7387755102040816,
|
| 2295 |
+
"eval_loss": 0.31048765778541565,
|
| 2296 |
+
"eval_precision": 0.7669491525423728,
|
| 2297 |
+
"eval_recall": 0.7125984251968503,
|
| 2298 |
+
"eval_runtime": 52.6769,
|
| 2299 |
+
"eval_samples_per_second": 5.258,
|
| 2300 |
+
"eval_steps_per_second": 0.171,
|
| 2301 |
+
"step": 300
|
| 2302 |
}
|
| 2303 |
],
|
| 2304 |
"logging_steps": 1,
|
|
|
|
| 2318 |
"attributes": {}
|
| 2319 |
}
|
| 2320 |
},
|
| 2321 |
+
"total_flos": 1.0951134131571917e+17,
|
| 2322 |
"train_batch_size": 6,
|
| 2323 |
"trial_name": null,
|
| 2324 |
"trial_params": null
|