Instructions to use mtzig/v2_mistral_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mtzig/v2_mistral_lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peiyi9979/math-shepherd-mistral-7b-prm") model = PeftModel.from_pretrained(base_model, "mtzig/v2_mistral_lora") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 3800, 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 sha256:0a6f7e2954a9d97b141f130afb1f6537cfa1498b75982ad5a659f80f10798f3d
|
| 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:ec2aa24808389e36190d6a559e86c2823bc4cecced5813cb42cf87bb8a27c1d6
|
| 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:ff0fe3fe681f1ece017f885e7aff7be8cf74cecbecde796cb74ad8d33c5e3bb0
|
| 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:b1c44684053c782e845ec80d9c01caa70c72f417fce402b7a70b060934d3d618
|
| 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 sha256:2feb6240b1fa4c83000600bf312599140c9c11234d9790dc0acb1f32c65ce8c3
|
| 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 sha256:5e2a02b3b5c5b25c66df88d2f816c53403e95842b3997fe42442480b9decbb8d
|
| 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 sha256:93f52f928795f2be63de4c7a430a040d0aadc4f630c7a4a7b67082a4fcca649f
|
| 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 sha256:5e7a60b4d6678ee9ae36e85dfc2e9caae763e734f703df07f47c855dbf3a49f9
|
| 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 sha256:69e6be6efaedfde2b1d47293e94b2707779f1cff15fb52ecf87684fc7c0ea2ca
|
| 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:a4ce4d4068f26b4f70f5edfb19ea73473a9c6bdf3acb5f93776af348e20e40ea
|
| 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 sha256:517c3e398b096ca6304c01d0cc911dc0136d57afb31dac7034f8eef86054f960
|
| 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:efadf3c427d313f3784af1685962dc461da9481c0b29cdb84aa82c99ffe9214e
|
| 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 sha256:85400f81f12f25b5a491d6620260edbf6b143335da6b8b8d01c86f20ff477568
|
| 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,
|
|
@@ -28139,6 +28139,766 @@
|
|
| 28139 |
"eval_samples_per_second": 5.932,
|
| 28140 |
"eval_steps_per_second": 0.204,
|
| 28141 |
"step": 3700
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 28142 |
}
|
| 28143 |
],
|
| 28144 |
"logging_steps": 1,
|
|
@@ -28158,7 +28918,7 @@
|
|
| 28158 |
"attributes": {}
|
| 28159 |
}
|
| 28160 |
},
|
| 28161 |
-
"total_flos": 1.
|
| 28162 |
"train_batch_size": 8,
|
| 28163 |
"trial_name": null,
|
| 28164 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.5606787163408337,
|
| 5 |
"eval_steps": 20,
|
| 6 |
+
"global_step": 3800,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 28139 |
"eval_samples_per_second": 5.932,
|
| 28140 |
"eval_steps_per_second": 0.204,
|
| 28141 |
"step": 3700
|
| 28142 |
+
},
|
| 28143 |
+
{
|
| 28144 |
+
"epoch": 0.5460715603098487,
|
| 28145 |
+
"grad_norm": 0.927797257900238,
|
| 28146 |
+
"learning_rate": 1.0136497163466014e-05,
|
| 28147 |
+
"loss": 0.0212,
|
| 28148 |
+
"step": 3701
|
| 28149 |
+
},
|
| 28150 |
+
{
|
| 28151 |
+
"epoch": 0.5462191073404647,
|
| 28152 |
+
"grad_norm": 1.628825068473816,
|
| 28153 |
+
"learning_rate": 1.0131346629144452e-05,
|
| 28154 |
+
"loss": 0.0271,
|
| 28155 |
+
"step": 3702
|
| 28156 |
+
},
|
| 28157 |
+
{
|
| 28158 |
+
"epoch": 0.5463666543710808,
|
| 28159 |
+
"grad_norm": 0.6106228232383728,
|
| 28160 |
+
"learning_rate": 1.0126196059973e-05,
|
| 28161 |
+
"loss": 0.0175,
|
| 28162 |
+
"step": 3703
|
| 28163 |
+
},
|
| 28164 |
+
{
|
| 28165 |
+
"epoch": 0.5465142014016968,
|
| 28166 |
+
"grad_norm": 1.9554325342178345,
|
| 28167 |
+
"learning_rate": 1.0121045457318247e-05,
|
| 28168 |
+
"loss": 0.0704,
|
| 28169 |
+
"step": 3704
|
| 28170 |
+
},
|
| 28171 |
+
{
|
| 28172 |
+
"epoch": 0.5466617484323129,
|
| 28173 |
+
"grad_norm": 2.2551918029785156,
|
| 28174 |
+
"learning_rate": 1.0115894822546788e-05,
|
| 28175 |
+
"loss": 0.0811,
|
| 28176 |
+
"step": 3705
|
| 28177 |
+
},
|
| 28178 |
+
{
|
| 28179 |
+
"epoch": 0.5468092954629288,
|
| 28180 |
+
"grad_norm": 1.5803611278533936,
|
| 28181 |
+
"learning_rate": 1.0110744157025234e-05,
|
| 28182 |
+
"loss": 0.0474,
|
| 28183 |
+
"step": 3706
|
| 28184 |
+
},
|
| 28185 |
+
{
|
| 28186 |
+
"epoch": 0.5469568424935448,
|
| 28187 |
+
"grad_norm": 1.926823377609253,
|
| 28188 |
+
"learning_rate": 1.0105593462120196e-05,
|
| 28189 |
+
"loss": 0.0307,
|
| 28190 |
+
"step": 3707
|
| 28191 |
+
},
|
| 28192 |
+
{
|
| 28193 |
+
"epoch": 0.5471043895241609,
|
| 28194 |
+
"grad_norm": 1.9144130945205688,
|
| 28195 |
+
"learning_rate": 1.0100442739198293e-05,
|
| 28196 |
+
"loss": 0.0449,
|
| 28197 |
+
"step": 3708
|
| 28198 |
+
},
|
| 28199 |
+
{
|
| 28200 |
+
"epoch": 0.5472519365547769,
|
| 28201 |
+
"grad_norm": 1.6707820892333984,
|
| 28202 |
+
"learning_rate": 1.009529198962616e-05,
|
| 28203 |
+
"loss": 0.041,
|
| 28204 |
+
"step": 3709
|
| 28205 |
+
},
|
| 28206 |
+
{
|
| 28207 |
+
"epoch": 0.5473994835853928,
|
| 28208 |
+
"grad_norm": 1.5497639179229736,
|
| 28209 |
+
"learning_rate": 1.0090141214770426e-05,
|
| 28210 |
+
"loss": 0.0295,
|
| 28211 |
+
"step": 3710
|
| 28212 |
+
},
|
| 28213 |
+
{
|
| 28214 |
+
"epoch": 0.5475470306160088,
|
| 28215 |
+
"grad_norm": 2.402508020401001,
|
| 28216 |
+
"learning_rate": 1.008499041599774e-05,
|
| 28217 |
+
"loss": 0.0531,
|
| 28218 |
+
"step": 3711
|
| 28219 |
+
},
|
| 28220 |
+
{
|
| 28221 |
+
"epoch": 0.5476945776466249,
|
| 28222 |
+
"grad_norm": 1.2764594554901123,
|
| 28223 |
+
"learning_rate": 1.0079839594674749e-05,
|
| 28224 |
+
"loss": 0.0321,
|
| 28225 |
+
"step": 3712
|
| 28226 |
+
},
|
| 28227 |
+
{
|
| 28228 |
+
"epoch": 0.5478421246772409,
|
| 28229 |
+
"grad_norm": 1.8888596296310425,
|
| 28230 |
+
"learning_rate": 1.0074688752168104e-05,
|
| 28231 |
+
"loss": 0.038,
|
| 28232 |
+
"step": 3713
|
| 28233 |
+
},
|
| 28234 |
+
{
|
| 28235 |
+
"epoch": 0.5479896717078568,
|
| 28236 |
+
"grad_norm": 2.022836923599243,
|
| 28237 |
+
"learning_rate": 1.0069537889844476e-05,
|
| 28238 |
+
"loss": 0.0605,
|
| 28239 |
+
"step": 3714
|
| 28240 |
+
},
|
| 28241 |
+
{
|
| 28242 |
+
"epoch": 0.5481372187384729,
|
| 28243 |
+
"grad_norm": 1.7803722620010376,
|
| 28244 |
+
"learning_rate": 1.006438700907052e-05,
|
| 28245 |
+
"loss": 0.0681,
|
| 28246 |
+
"step": 3715
|
| 28247 |
+
},
|
| 28248 |
+
{
|
| 28249 |
+
"epoch": 0.5482847657690889,
|
| 28250 |
+
"grad_norm": 4.56878662109375,
|
| 28251 |
+
"learning_rate": 1.0059236111212914e-05,
|
| 28252 |
+
"loss": 0.1236,
|
| 28253 |
+
"step": 3716
|
| 28254 |
+
},
|
| 28255 |
+
{
|
| 28256 |
+
"epoch": 0.548432312799705,
|
| 28257 |
+
"grad_norm": 0.7959854006767273,
|
| 28258 |
+
"learning_rate": 1.005408519763833e-05,
|
| 28259 |
+
"loss": 0.0145,
|
| 28260 |
+
"step": 3717
|
| 28261 |
+
},
|
| 28262 |
+
{
|
| 28263 |
+
"epoch": 0.5485798598303209,
|
| 28264 |
+
"grad_norm": 6.06070613861084,
|
| 28265 |
+
"learning_rate": 1.004893426971345e-05,
|
| 28266 |
+
"loss": 0.0377,
|
| 28267 |
+
"step": 3718
|
| 28268 |
+
},
|
| 28269 |
+
{
|
| 28270 |
+
"epoch": 0.5487274068609369,
|
| 28271 |
+
"grad_norm": 3.700913190841675,
|
| 28272 |
+
"learning_rate": 1.004378332880496e-05,
|
| 28273 |
+
"loss": 0.0278,
|
| 28274 |
+
"step": 3719
|
| 28275 |
+
},
|
| 28276 |
+
{
|
| 28277 |
+
"epoch": 0.5488749538915529,
|
| 28278 |
+
"grad_norm": 5.320037364959717,
|
| 28279 |
+
"learning_rate": 1.0038632376279535e-05,
|
| 28280 |
+
"loss": 0.077,
|
| 28281 |
+
"step": 3720
|
| 28282 |
+
},
|
| 28283 |
+
{
|
| 28284 |
+
"epoch": 0.5488749538915529,
|
| 28285 |
+
"eval_accuracy": 0.975397973950796,
|
| 28286 |
+
"eval_f1": 0.9578163771712159,
|
| 28287 |
+
"eval_loss": 0.05850488319993019,
|
| 28288 |
+
"eval_precision": 0.9796954314720813,
|
| 28289 |
+
"eval_recall": 0.9368932038834952,
|
| 28290 |
+
"eval_runtime": 49.9661,
|
| 28291 |
+
"eval_samples_per_second": 5.824,
|
| 28292 |
+
"eval_steps_per_second": 0.2,
|
| 28293 |
+
"step": 3720
|
| 28294 |
+
},
|
| 28295 |
+
{
|
| 28296 |
+
"epoch": 0.549022500922169,
|
| 28297 |
+
"grad_norm": 2.794523000717163,
|
| 28298 |
+
"learning_rate": 1.0033481413503883e-05,
|
| 28299 |
+
"loss": 0.0327,
|
| 28300 |
+
"step": 3721
|
| 28301 |
+
},
|
| 28302 |
+
{
|
| 28303 |
+
"epoch": 0.5491700479527849,
|
| 28304 |
+
"grad_norm": 1.0081136226654053,
|
| 28305 |
+
"learning_rate": 1.0028330441844678e-05,
|
| 28306 |
+
"loss": 0.0218,
|
| 28307 |
+
"step": 3722
|
| 28308 |
+
},
|
| 28309 |
+
{
|
| 28310 |
+
"epoch": 0.5493175949834009,
|
| 28311 |
+
"grad_norm": 2.727607011795044,
|
| 28312 |
+
"learning_rate": 1.002317946266863e-05,
|
| 28313 |
+
"loss": 0.0634,
|
| 28314 |
+
"step": 3723
|
| 28315 |
+
},
|
| 28316 |
+
{
|
| 28317 |
+
"epoch": 0.549465142014017,
|
| 28318 |
+
"grad_norm": 0.6229975819587708,
|
| 28319 |
+
"learning_rate": 1.001802847734243e-05,
|
| 28320 |
+
"loss": 0.0194,
|
| 28321 |
+
"step": 3724
|
| 28322 |
+
},
|
| 28323 |
+
{
|
| 28324 |
+
"epoch": 0.549612689044633,
|
| 28325 |
+
"grad_norm": 5.12562894821167,
|
| 28326 |
+
"learning_rate": 1.0012877487232774e-05,
|
| 28327 |
+
"loss": 0.0319,
|
| 28328 |
+
"step": 3725
|
| 28329 |
+
},
|
| 28330 |
+
{
|
| 28331 |
+
"epoch": 0.5497602360752489,
|
| 28332 |
+
"grad_norm": 2.87324595451355,
|
| 28333 |
+
"learning_rate": 1.0007726493706367e-05,
|
| 28334 |
+
"loss": 0.0708,
|
| 28335 |
+
"step": 3726
|
| 28336 |
+
},
|
| 28337 |
+
{
|
| 28338 |
+
"epoch": 0.549907783105865,
|
| 28339 |
+
"grad_norm": 5.746551036834717,
|
| 28340 |
+
"learning_rate": 1.0002575498129905e-05,
|
| 28341 |
+
"loss": 0.0559,
|
| 28342 |
+
"step": 3727
|
| 28343 |
+
},
|
| 28344 |
+
{
|
| 28345 |
+
"epoch": 0.550055330136481,
|
| 28346 |
+
"grad_norm": 2.7586886882781982,
|
| 28347 |
+
"learning_rate": 9.997424501870095e-06,
|
| 28348 |
+
"loss": 0.0571,
|
| 28349 |
+
"step": 3728
|
| 28350 |
+
},
|
| 28351 |
+
{
|
| 28352 |
+
"epoch": 0.550202877167097,
|
| 28353 |
+
"grad_norm": 2.8424432277679443,
|
| 28354 |
+
"learning_rate": 9.992273506293636e-06,
|
| 28355 |
+
"loss": 0.1035,
|
| 28356 |
+
"step": 3729
|
| 28357 |
+
},
|
| 28358 |
+
{
|
| 28359 |
+
"epoch": 0.5503504241977131,
|
| 28360 |
+
"grad_norm": 3.6614279747009277,
|
| 28361 |
+
"learning_rate": 9.987122512767229e-06,
|
| 28362 |
+
"loss": 0.0861,
|
| 28363 |
+
"step": 3730
|
| 28364 |
+
},
|
| 28365 |
+
{
|
| 28366 |
+
"epoch": 0.550497971228329,
|
| 28367 |
+
"grad_norm": 1.9463998079299927,
|
| 28368 |
+
"learning_rate": 9.981971522657575e-06,
|
| 28369 |
+
"loss": 0.0671,
|
| 28370 |
+
"step": 3731
|
| 28371 |
+
},
|
| 28372 |
+
{
|
| 28373 |
+
"epoch": 0.550645518258945,
|
| 28374 |
+
"grad_norm": 1.3599612712860107,
|
| 28375 |
+
"learning_rate": 9.976820537331375e-06,
|
| 28376 |
+
"loss": 0.0494,
|
| 28377 |
+
"step": 3732
|
| 28378 |
+
},
|
| 28379 |
+
{
|
| 28380 |
+
"epoch": 0.5507930652895611,
|
| 28381 |
+
"grad_norm": 2.320894956588745,
|
| 28382 |
+
"learning_rate": 9.971669558155322e-06,
|
| 28383 |
+
"loss": 0.0593,
|
| 28384 |
+
"step": 3733
|
| 28385 |
+
},
|
| 28386 |
+
{
|
| 28387 |
+
"epoch": 0.5509406123201771,
|
| 28388 |
+
"grad_norm": 2.7197000980377197,
|
| 28389 |
+
"learning_rate": 9.96651858649612e-06,
|
| 28390 |
+
"loss": 0.1013,
|
| 28391 |
+
"step": 3734
|
| 28392 |
+
},
|
| 28393 |
+
{
|
| 28394 |
+
"epoch": 0.551088159350793,
|
| 28395 |
+
"grad_norm": 1.2852067947387695,
|
| 28396 |
+
"learning_rate": 9.961367623720467e-06,
|
| 28397 |
+
"loss": 0.0303,
|
| 28398 |
+
"step": 3735
|
| 28399 |
+
},
|
| 28400 |
+
{
|
| 28401 |
+
"epoch": 0.5512357063814091,
|
| 28402 |
+
"grad_norm": 2.8085477352142334,
|
| 28403 |
+
"learning_rate": 9.956216671195047e-06,
|
| 28404 |
+
"loss": 0.0701,
|
| 28405 |
+
"step": 3736
|
| 28406 |
+
},
|
| 28407 |
+
{
|
| 28408 |
+
"epoch": 0.5513832534120251,
|
| 28409 |
+
"grad_norm": 2.4579927921295166,
|
| 28410 |
+
"learning_rate": 9.951065730286553e-06,
|
| 28411 |
+
"loss": 0.0677,
|
| 28412 |
+
"step": 3737
|
| 28413 |
+
},
|
| 28414 |
+
{
|
| 28415 |
+
"epoch": 0.5515308004426411,
|
| 28416 |
+
"grad_norm": 2.144411325454712,
|
| 28417 |
+
"learning_rate": 9.945914802361672e-06,
|
| 28418 |
+
"loss": 0.0607,
|
| 28419 |
+
"step": 3738
|
| 28420 |
+
},
|
| 28421 |
+
{
|
| 28422 |
+
"epoch": 0.5516783474732571,
|
| 28423 |
+
"grad_norm": 1.9104830026626587,
|
| 28424 |
+
"learning_rate": 9.940763888787088e-06,
|
| 28425 |
+
"loss": 0.0403,
|
| 28426 |
+
"step": 3739
|
| 28427 |
+
},
|
| 28428 |
+
{
|
| 28429 |
+
"epoch": 0.5518258945038731,
|
| 28430 |
+
"grad_norm": 2.6878914833068848,
|
| 28431 |
+
"learning_rate": 9.935612990929482e-06,
|
| 28432 |
+
"loss": 0.0403,
|
| 28433 |
+
"step": 3740
|
| 28434 |
+
},
|
| 28435 |
+
{
|
| 28436 |
+
"epoch": 0.5518258945038731,
|
| 28437 |
+
"eval_accuracy": 0.9782923299565847,
|
| 28438 |
+
"eval_f1": 0.9629629629629629,
|
| 28439 |
+
"eval_loss": 0.05521642044186592,
|
| 28440 |
+
"eval_precision": 0.9798994974874372,
|
| 28441 |
+
"eval_recall": 0.9466019417475728,
|
| 28442 |
+
"eval_runtime": 49.6835,
|
| 28443 |
+
"eval_samples_per_second": 5.857,
|
| 28444 |
+
"eval_steps_per_second": 0.201,
|
| 28445 |
+
"step": 3740
|
| 28446 |
+
},
|
| 28447 |
+
{
|
| 28448 |
+
"epoch": 0.5519734415344891,
|
| 28449 |
+
"grad_norm": 1.8800990581512451,
|
| 28450 |
+
"learning_rate": 9.930462110155529e-06,
|
| 28451 |
+
"loss": 0.0719,
|
| 28452 |
+
"step": 3741
|
| 28453 |
+
},
|
| 28454 |
+
{
|
| 28455 |
+
"epoch": 0.5521209885651052,
|
| 28456 |
+
"grad_norm": 1.9986878633499146,
|
| 28457 |
+
"learning_rate": 9.925311247831896e-06,
|
| 28458 |
+
"loss": 0.0581,
|
| 28459 |
+
"step": 3742
|
| 28460 |
+
},
|
| 28461 |
+
{
|
| 28462 |
+
"epoch": 0.5522685355957211,
|
| 28463 |
+
"grad_norm": 3.641836166381836,
|
| 28464 |
+
"learning_rate": 9.920160405325254e-06,
|
| 28465 |
+
"loss": 0.0726,
|
| 28466 |
+
"step": 3743
|
| 28467 |
+
},
|
| 28468 |
+
{
|
| 28469 |
+
"epoch": 0.5524160826263371,
|
| 28470 |
+
"grad_norm": 5.52808141708374,
|
| 28471 |
+
"learning_rate": 9.915009584002263e-06,
|
| 28472 |
+
"loss": 0.0852,
|
| 28473 |
+
"step": 3744
|
| 28474 |
+
},
|
| 28475 |
+
{
|
| 28476 |
+
"epoch": 0.5525636296569532,
|
| 28477 |
+
"grad_norm": 1.0799669027328491,
|
| 28478 |
+
"learning_rate": 9.909858785229576e-06,
|
| 28479 |
+
"loss": 0.0342,
|
| 28480 |
+
"step": 3745
|
| 28481 |
+
},
|
| 28482 |
+
{
|
| 28483 |
+
"epoch": 0.5527111766875692,
|
| 28484 |
+
"grad_norm": 3.680673599243164,
|
| 28485 |
+
"learning_rate": 9.904708010373847e-06,
|
| 28486 |
+
"loss": 0.0844,
|
| 28487 |
+
"step": 3746
|
| 28488 |
+
},
|
| 28489 |
+
{
|
| 28490 |
+
"epoch": 0.5528587237181851,
|
| 28491 |
+
"grad_norm": 1.3180592060089111,
|
| 28492 |
+
"learning_rate": 9.899557260801707e-06,
|
| 28493 |
+
"loss": 0.0474,
|
| 28494 |
+
"step": 3747
|
| 28495 |
+
},
|
| 28496 |
+
{
|
| 28497 |
+
"epoch": 0.5530062707488012,
|
| 28498 |
+
"grad_norm": 2.9669387340545654,
|
| 28499 |
+
"learning_rate": 9.894406537879805e-06,
|
| 28500 |
+
"loss": 0.083,
|
| 28501 |
+
"step": 3748
|
| 28502 |
+
},
|
| 28503 |
+
{
|
| 28504 |
+
"epoch": 0.5531538177794172,
|
| 28505 |
+
"grad_norm": 3.1382808685302734,
|
| 28506 |
+
"learning_rate": 9.88925584297477e-06,
|
| 28507 |
+
"loss": 0.0916,
|
| 28508 |
+
"step": 3749
|
| 28509 |
+
},
|
| 28510 |
+
{
|
| 28511 |
+
"epoch": 0.5533013648100332,
|
| 28512 |
+
"grad_norm": 4.144131183624268,
|
| 28513 |
+
"learning_rate": 9.884105177453216e-06,
|
| 28514 |
+
"loss": 0.0752,
|
| 28515 |
+
"step": 3750
|
| 28516 |
+
},
|
| 28517 |
+
{
|
| 28518 |
+
"epoch": 0.5534489118406493,
|
| 28519 |
+
"grad_norm": 1.2315720319747925,
|
| 28520 |
+
"learning_rate": 9.878954542681758e-06,
|
| 28521 |
+
"loss": 0.0259,
|
| 28522 |
+
"step": 3751
|
| 28523 |
+
},
|
| 28524 |
+
{
|
| 28525 |
+
"epoch": 0.5535964588712652,
|
| 28526 |
+
"grad_norm": 3.0691041946411133,
|
| 28527 |
+
"learning_rate": 9.873803940027004e-06,
|
| 28528 |
+
"loss": 0.0566,
|
| 28529 |
+
"step": 3752
|
| 28530 |
+
},
|
| 28531 |
+
{
|
| 28532 |
+
"epoch": 0.5537440059018812,
|
| 28533 |
+
"grad_norm": 1.3682444095611572,
|
| 28534 |
+
"learning_rate": 9.868653370855552e-06,
|
| 28535 |
+
"loss": 0.0314,
|
| 28536 |
+
"step": 3753
|
| 28537 |
+
},
|
| 28538 |
+
{
|
| 28539 |
+
"epoch": 0.5538915529324973,
|
| 28540 |
+
"grad_norm": 1.8178353309631348,
|
| 28541 |
+
"learning_rate": 9.863502836533988e-06,
|
| 28542 |
+
"loss": 0.0739,
|
| 28543 |
+
"step": 3754
|
| 28544 |
+
},
|
| 28545 |
+
{
|
| 28546 |
+
"epoch": 0.5540390999631133,
|
| 28547 |
+
"grad_norm": 1.305626392364502,
|
| 28548 |
+
"learning_rate": 9.858352338428894e-06,
|
| 28549 |
+
"loss": 0.0497,
|
| 28550 |
+
"step": 3755
|
| 28551 |
+
},
|
| 28552 |
+
{
|
| 28553 |
+
"epoch": 0.5541866469937292,
|
| 28554 |
+
"grad_norm": 2.9078972339630127,
|
| 28555 |
+
"learning_rate": 9.853201877906836e-06,
|
| 28556 |
+
"loss": 0.0698,
|
| 28557 |
+
"step": 3756
|
| 28558 |
+
},
|
| 28559 |
+
{
|
| 28560 |
+
"epoch": 0.5543341940243453,
|
| 28561 |
+
"grad_norm": 2.165985584259033,
|
| 28562 |
+
"learning_rate": 9.848051456334373e-06,
|
| 28563 |
+
"loss": 0.0694,
|
| 28564 |
+
"step": 3757
|
| 28565 |
+
},
|
| 28566 |
+
{
|
| 28567 |
+
"epoch": 0.5544817410549613,
|
| 28568 |
+
"grad_norm": 2.040043830871582,
|
| 28569 |
+
"learning_rate": 9.84290107507806e-06,
|
| 28570 |
+
"loss": 0.0768,
|
| 28571 |
+
"step": 3758
|
| 28572 |
+
},
|
| 28573 |
+
{
|
| 28574 |
+
"epoch": 0.5546292880855773,
|
| 28575 |
+
"grad_norm": 3.4539248943328857,
|
| 28576 |
+
"learning_rate": 9.83775073550443e-06,
|
| 28577 |
+
"loss": 0.0918,
|
| 28578 |
+
"step": 3759
|
| 28579 |
+
},
|
| 28580 |
+
{
|
| 28581 |
+
"epoch": 0.5547768351161932,
|
| 28582 |
+
"grad_norm": 1.5912948846817017,
|
| 28583 |
+
"learning_rate": 9.832600438980012e-06,
|
| 28584 |
+
"loss": 0.0228,
|
| 28585 |
+
"step": 3760
|
| 28586 |
+
},
|
| 28587 |
+
{
|
| 28588 |
+
"epoch": 0.5547768351161932,
|
| 28589 |
+
"eval_accuracy": 0.9797395079594791,
|
| 28590 |
+
"eval_f1": 0.9653465346534653,
|
| 28591 |
+
"eval_loss": 0.054135989397764206,
|
| 28592 |
+
"eval_precision": 0.9848484848484849,
|
| 28593 |
+
"eval_recall": 0.9466019417475728,
|
| 28594 |
+
"eval_runtime": 49.6086,
|
| 28595 |
+
"eval_samples_per_second": 5.866,
|
| 28596 |
+
"eval_steps_per_second": 0.202,
|
| 28597 |
+
"step": 3760
|
| 28598 |
+
},
|
| 28599 |
+
{
|
| 28600 |
+
"epoch": 0.5549243821468093,
|
| 28601 |
+
"grad_norm": 2.391852378845215,
|
| 28602 |
+
"learning_rate": 9.82745018687132e-06,
|
| 28603 |
+
"loss": 0.117,
|
| 28604 |
+
"step": 3761
|
| 28605 |
+
},
|
| 28606 |
+
{
|
| 28607 |
+
"epoch": 0.5550719291774253,
|
| 28608 |
+
"grad_norm": 2.916215419769287,
|
| 28609 |
+
"learning_rate": 9.822299980544862e-06,
|
| 28610 |
+
"loss": 0.0331,
|
| 28611 |
+
"step": 3762
|
| 28612 |
+
},
|
| 28613 |
+
{
|
| 28614 |
+
"epoch": 0.5552194762080414,
|
| 28615 |
+
"grad_norm": 1.3798753023147583,
|
| 28616 |
+
"learning_rate": 9.81714982136713e-06,
|
| 28617 |
+
"loss": 0.0258,
|
| 28618 |
+
"step": 3763
|
| 28619 |
+
},
|
| 28620 |
+
{
|
| 28621 |
+
"epoch": 0.5553670232386573,
|
| 28622 |
+
"grad_norm": 5.286415100097656,
|
| 28623 |
+
"learning_rate": 9.811999710704601e-06,
|
| 28624 |
+
"loss": 0.0462,
|
| 28625 |
+
"step": 3764
|
| 28626 |
+
},
|
| 28627 |
+
{
|
| 28628 |
+
"epoch": 0.5555145702692733,
|
| 28629 |
+
"grad_norm": 1.4460058212280273,
|
| 28630 |
+
"learning_rate": 9.806849649923742e-06,
|
| 28631 |
+
"loss": 0.0545,
|
| 28632 |
+
"step": 3765
|
| 28633 |
+
},
|
| 28634 |
+
{
|
| 28635 |
+
"epoch": 0.5556621172998893,
|
| 28636 |
+
"grad_norm": 1.8188203573226929,
|
| 28637 |
+
"learning_rate": 9.801699640391001e-06,
|
| 28638 |
+
"loss": 0.0381,
|
| 28639 |
+
"step": 3766
|
| 28640 |
+
},
|
| 28641 |
+
{
|
| 28642 |
+
"epoch": 0.5558096643305054,
|
| 28643 |
+
"grad_norm": 1.858678936958313,
|
| 28644 |
+
"learning_rate": 9.79654968347283e-06,
|
| 28645 |
+
"loss": 0.0585,
|
| 28646 |
+
"step": 3767
|
| 28647 |
+
},
|
| 28648 |
+
{
|
| 28649 |
+
"epoch": 0.5559572113611213,
|
| 28650 |
+
"grad_norm": 2.441951036453247,
|
| 28651 |
+
"learning_rate": 9.791399780535648e-06,
|
| 28652 |
+
"loss": 0.0571,
|
| 28653 |
+
"step": 3768
|
| 28654 |
+
},
|
| 28655 |
+
{
|
| 28656 |
+
"epoch": 0.5561047583917373,
|
| 28657 |
+
"grad_norm": 1.4246195554733276,
|
| 28658 |
+
"learning_rate": 9.786249932945865e-06,
|
| 28659 |
+
"loss": 0.0715,
|
| 28660 |
+
"step": 3769
|
| 28661 |
+
},
|
| 28662 |
+
{
|
| 28663 |
+
"epoch": 0.5562523054223534,
|
| 28664 |
+
"grad_norm": 1.7215012311935425,
|
| 28665 |
+
"learning_rate": 9.781100142069879e-06,
|
| 28666 |
+
"loss": 0.0237,
|
| 28667 |
+
"step": 3770
|
| 28668 |
+
},
|
| 28669 |
+
{
|
| 28670 |
+
"epoch": 0.5563998524529694,
|
| 28671 |
+
"grad_norm": 1.2334809303283691,
|
| 28672 |
+
"learning_rate": 9.775950409274071e-06,
|
| 28673 |
+
"loss": 0.048,
|
| 28674 |
+
"step": 3771
|
| 28675 |
+
},
|
| 28676 |
+
{
|
| 28677 |
+
"epoch": 0.5565473994835854,
|
| 28678 |
+
"grad_norm": 1.7480311393737793,
|
| 28679 |
+
"learning_rate": 9.770800735924811e-06,
|
| 28680 |
+
"loss": 0.0436,
|
| 28681 |
+
"step": 3772
|
| 28682 |
+
},
|
| 28683 |
+
{
|
| 28684 |
+
"epoch": 0.5566949465142014,
|
| 28685 |
+
"grad_norm": 1.593654751777649,
|
| 28686 |
+
"learning_rate": 9.765651123388448e-06,
|
| 28687 |
+
"loss": 0.0335,
|
| 28688 |
+
"step": 3773
|
| 28689 |
+
},
|
| 28690 |
+
{
|
| 28691 |
+
"epoch": 0.5568424935448174,
|
| 28692 |
+
"grad_norm": 1.513624668121338,
|
| 28693 |
+
"learning_rate": 9.760501573031314e-06,
|
| 28694 |
+
"loss": 0.0529,
|
| 28695 |
+
"step": 3774
|
| 28696 |
+
},
|
| 28697 |
+
{
|
| 28698 |
+
"epoch": 0.5569900405754334,
|
| 28699 |
+
"grad_norm": 1.5197149515151978,
|
| 28700 |
+
"learning_rate": 9.755352086219733e-06,
|
| 28701 |
+
"loss": 0.0559,
|
| 28702 |
+
"step": 3775
|
| 28703 |
+
},
|
| 28704 |
+
{
|
| 28705 |
+
"epoch": 0.5571375876060495,
|
| 28706 |
+
"grad_norm": 1.9495011568069458,
|
| 28707 |
+
"learning_rate": 9.750202664319993e-06,
|
| 28708 |
+
"loss": 0.0655,
|
| 28709 |
+
"step": 3776
|
| 28710 |
+
},
|
| 28711 |
+
{
|
| 28712 |
+
"epoch": 0.5572851346366654,
|
| 28713 |
+
"grad_norm": 0.9071054458618164,
|
| 28714 |
+
"learning_rate": 9.745053308698392e-06,
|
| 28715 |
+
"loss": 0.0193,
|
| 28716 |
+
"step": 3777
|
| 28717 |
+
},
|
| 28718 |
+
{
|
| 28719 |
+
"epoch": 0.5574326816672814,
|
| 28720 |
+
"grad_norm": 1.7866899967193604,
|
| 28721 |
+
"learning_rate": 9.739904020721193e-06,
|
| 28722 |
+
"loss": 0.0312,
|
| 28723 |
+
"step": 3778
|
| 28724 |
+
},
|
| 28725 |
+
{
|
| 28726 |
+
"epoch": 0.5575802286978975,
|
| 28727 |
+
"grad_norm": 3.7618916034698486,
|
| 28728 |
+
"learning_rate": 9.734754801754643e-06,
|
| 28729 |
+
"loss": 0.0442,
|
| 28730 |
+
"step": 3779
|
| 28731 |
+
},
|
| 28732 |
+
{
|
| 28733 |
+
"epoch": 0.5577277757285135,
|
| 28734 |
+
"grad_norm": 1.682389497756958,
|
| 28735 |
+
"learning_rate": 9.729605653164962e-06,
|
| 28736 |
+
"loss": 0.0321,
|
| 28737 |
+
"step": 3780
|
| 28738 |
+
},
|
| 28739 |
+
{
|
| 28740 |
+
"epoch": 0.5577277757285135,
|
| 28741 |
+
"eval_accuracy": 0.9797395079594791,
|
| 28742 |
+
"eval_f1": 0.9651741293532339,
|
| 28743 |
+
"eval_loss": 0.053348224610090256,
|
| 28744 |
+
"eval_precision": 0.9897959183673469,
|
| 28745 |
+
"eval_recall": 0.941747572815534,
|
| 28746 |
+
"eval_runtime": 49.4818,
|
| 28747 |
+
"eval_samples_per_second": 5.881,
|
| 28748 |
+
"eval_steps_per_second": 0.202,
|
| 28749 |
+
"step": 3780
|
| 28750 |
+
},
|
| 28751 |
+
{
|
| 28752 |
+
"epoch": 0.5578753227591294,
|
| 28753 |
+
"grad_norm": 2.075875759124756,
|
| 28754 |
+
"learning_rate": 9.724456576318383e-06,
|
| 28755 |
+
"loss": 0.0552,
|
| 28756 |
+
"step": 3781
|
| 28757 |
+
},
|
| 28758 |
+
{
|
| 28759 |
+
"epoch": 0.5580228697897455,
|
| 28760 |
+
"grad_norm": 5.893950462341309,
|
| 28761 |
+
"learning_rate": 9.71930757258108e-06,
|
| 28762 |
+
"loss": 0.1236,
|
| 28763 |
+
"step": 3782
|
| 28764 |
+
},
|
| 28765 |
+
{
|
| 28766 |
+
"epoch": 0.5581704168203615,
|
| 28767 |
+
"grad_norm": 1.4630471467971802,
|
| 28768 |
+
"learning_rate": 9.714158643319232e-06,
|
| 28769 |
+
"loss": 0.0175,
|
| 28770 |
+
"step": 3783
|
| 28771 |
+
},
|
| 28772 |
+
{
|
| 28773 |
+
"epoch": 0.5583179638509775,
|
| 28774 |
+
"grad_norm": 6.606502532958984,
|
| 28775 |
+
"learning_rate": 9.709009789898994e-06,
|
| 28776 |
+
"loss": 0.0888,
|
| 28777 |
+
"step": 3784
|
| 28778 |
+
},
|
| 28779 |
+
{
|
| 28780 |
+
"epoch": 0.5584655108815935,
|
| 28781 |
+
"grad_norm": 1.5867756605148315,
|
| 28782 |
+
"learning_rate": 9.703861013686494e-06,
|
| 28783 |
+
"loss": 0.0337,
|
| 28784 |
+
"step": 3785
|
| 28785 |
+
},
|
| 28786 |
+
{
|
| 28787 |
+
"epoch": 0.5586130579122095,
|
| 28788 |
+
"grad_norm": 3.8968021869659424,
|
| 28789 |
+
"learning_rate": 9.69871231604785e-06,
|
| 28790 |
+
"loss": 0.0457,
|
| 28791 |
+
"step": 3786
|
| 28792 |
+
},
|
| 28793 |
+
{
|
| 28794 |
+
"epoch": 0.5587606049428255,
|
| 28795 |
+
"grad_norm": 0.7190189957618713,
|
| 28796 |
+
"learning_rate": 9.693563698349151e-06,
|
| 28797 |
+
"loss": 0.0195,
|
| 28798 |
+
"step": 3787
|
| 28799 |
+
},
|
| 28800 |
+
{
|
| 28801 |
+
"epoch": 0.5589081519734416,
|
| 28802 |
+
"grad_norm": 1.2359848022460938,
|
| 28803 |
+
"learning_rate": 9.688415161956468e-06,
|
| 28804 |
+
"loss": 0.0381,
|
| 28805 |
+
"step": 3788
|
| 28806 |
+
},
|
| 28807 |
+
{
|
| 28808 |
+
"epoch": 0.5590556990040575,
|
| 28809 |
+
"grad_norm": 2.6988964080810547,
|
| 28810 |
+
"learning_rate": 9.683266708235855e-06,
|
| 28811 |
+
"loss": 0.0293,
|
| 28812 |
+
"step": 3789
|
| 28813 |
+
},
|
| 28814 |
+
{
|
| 28815 |
+
"epoch": 0.5592032460346735,
|
| 28816 |
+
"grad_norm": 3.265552043914795,
|
| 28817 |
+
"learning_rate": 9.678118338553325e-06,
|
| 28818 |
+
"loss": 0.1007,
|
| 28819 |
+
"step": 3790
|
| 28820 |
+
},
|
| 28821 |
+
{
|
| 28822 |
+
"epoch": 0.5593507930652896,
|
| 28823 |
+
"grad_norm": 1.6083853244781494,
|
| 28824 |
+
"learning_rate": 9.672970054274896e-06,
|
| 28825 |
+
"loss": 0.0314,
|
| 28826 |
+
"step": 3791
|
| 28827 |
+
},
|
| 28828 |
+
{
|
| 28829 |
+
"epoch": 0.5594983400959056,
|
| 28830 |
+
"grad_norm": 2.069735050201416,
|
| 28831 |
+
"learning_rate": 9.667821856766548e-06,
|
| 28832 |
+
"loss": 0.032,
|
| 28833 |
+
"step": 3792
|
| 28834 |
+
},
|
| 28835 |
+
{
|
| 28836 |
+
"epoch": 0.5596458871265215,
|
| 28837 |
+
"grad_norm": 3.529930830001831,
|
| 28838 |
+
"learning_rate": 9.662673747394237e-06,
|
| 28839 |
+
"loss": 0.133,
|
| 28840 |
+
"step": 3793
|
| 28841 |
+
},
|
| 28842 |
+
{
|
| 28843 |
+
"epoch": 0.5597934341571376,
|
| 28844 |
+
"grad_norm": 1.4641337394714355,
|
| 28845 |
+
"learning_rate": 9.657525727523897e-06,
|
| 28846 |
+
"loss": 0.0386,
|
| 28847 |
+
"step": 3794
|
| 28848 |
+
},
|
| 28849 |
+
{
|
| 28850 |
+
"epoch": 0.5599409811877536,
|
| 28851 |
+
"grad_norm": 2.047414779663086,
|
| 28852 |
+
"learning_rate": 9.652377798521442e-06,
|
| 28853 |
+
"loss": 0.0156,
|
| 28854 |
+
"step": 3795
|
| 28855 |
+
},
|
| 28856 |
+
{
|
| 28857 |
+
"epoch": 0.5600885282183696,
|
| 28858 |
+
"grad_norm": 2.2744388580322266,
|
| 28859 |
+
"learning_rate": 9.647229961752761e-06,
|
| 28860 |
+
"loss": 0.0385,
|
| 28861 |
+
"step": 3796
|
| 28862 |
+
},
|
| 28863 |
+
{
|
| 28864 |
+
"epoch": 0.5602360752489857,
|
| 28865 |
+
"grad_norm": 8.05351448059082,
|
| 28866 |
+
"learning_rate": 9.642082218583718e-06,
|
| 28867 |
+
"loss": 0.0934,
|
| 28868 |
+
"step": 3797
|
| 28869 |
+
},
|
| 28870 |
+
{
|
| 28871 |
+
"epoch": 0.5603836222796016,
|
| 28872 |
+
"grad_norm": 1.128142237663269,
|
| 28873 |
+
"learning_rate": 9.636934570380147e-06,
|
| 28874 |
+
"loss": 0.0389,
|
| 28875 |
+
"step": 3798
|
| 28876 |
+
},
|
| 28877 |
+
{
|
| 28878 |
+
"epoch": 0.5605311693102176,
|
| 28879 |
+
"grad_norm": 1.107566237449646,
|
| 28880 |
+
"learning_rate": 9.631787018507864e-06,
|
| 28881 |
+
"loss": 0.0389,
|
| 28882 |
+
"step": 3799
|
| 28883 |
+
},
|
| 28884 |
+
{
|
| 28885 |
+
"epoch": 0.5606787163408337,
|
| 28886 |
+
"grad_norm": 2.5889945030212402,
|
| 28887 |
+
"learning_rate": 9.626639564332659e-06,
|
| 28888 |
+
"loss": 0.0698,
|
| 28889 |
+
"step": 3800
|
| 28890 |
+
},
|
| 28891 |
+
{
|
| 28892 |
+
"epoch": 0.5606787163408337,
|
| 28893 |
+
"eval_accuracy": 0.9797395079594791,
|
| 28894 |
+
"eval_f1": 0.9655172413793104,
|
| 28895 |
+
"eval_loss": 0.05252087116241455,
|
| 28896 |
+
"eval_precision": 0.98,
|
| 28897 |
+
"eval_recall": 0.9514563106796117,
|
| 28898 |
+
"eval_runtime": 50.0962,
|
| 28899 |
+
"eval_samples_per_second": 5.809,
|
| 28900 |
+
"eval_steps_per_second": 0.2,
|
| 28901 |
+
"step": 3800
|
| 28902 |
}
|
| 28903 |
],
|
| 28904 |
"logging_steps": 1,
|
|
|
|
| 28918 |
"attributes": {}
|
| 28919 |
}
|
| 28920 |
},
|
| 28921 |
+
"total_flos": 1.1707223021117768e+18,
|
| 28922 |
"train_batch_size": 8,
|
| 28923 |
"trial_name": null,
|
| 28924 |
"trial_params": null
|