Commit
•
e5b40eb
1
Parent(s):
7b78f54
End of training
Browse files- README.md +3 -3
- all_results.json +8 -0
- runs/May25_17-40-02_95411d75b2af/events.out.tfevents.1716675646.95411d75b2af.25.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +883 -0
README.md
CHANGED
|
@@ -22,7 +22,7 @@ model-index:
|
|
| 22 |
metrics:
|
| 23 |
- name: Accuracy
|
| 24 |
type: accuracy
|
| 25 |
-
value: 0.
|
| 26 |
---
|
| 27 |
|
| 28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 32 |
|
| 33 |
This model is a fine-tuned version of [facebook/convnextv2-base-22k-384](https://huggingface.co/facebook/convnextv2-base-22k-384) on the imagefolder dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
-
- Loss: 0.
|
| 36 |
-
- Accuracy: 0.
|
| 37 |
|
| 38 |
## Model description
|
| 39 |
|
|
|
|
| 22 |
metrics:
|
| 23 |
- name: Accuracy
|
| 24 |
type: accuracy
|
| 25 |
+
value: 0.9311507936507937
|
| 26 |
---
|
| 27 |
|
| 28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 32 |
|
| 33 |
This model is a fine-tuned version of [facebook/convnextv2-base-22k-384](https://huggingface.co/facebook/convnextv2-base-22k-384) on the imagefolder dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
+
- Loss: 0.3332
|
| 36 |
+
- Accuracy: 0.9312
|
| 37 |
|
| 38 |
## Model description
|
| 39 |
|
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 10.0,
|
| 3 |
+
"total_flos": 4.09349935387607e+19,
|
| 4 |
+
"train_loss": 0.45005689912540897,
|
| 5 |
+
"train_runtime": 16363.7477,
|
| 6 |
+
"train_samples_per_second": 10.744,
|
| 7 |
+
"train_steps_per_second": 0.672
|
| 8 |
+
}
|
runs/May25_17-40-02_95411d75b2af/events.out.tfevents.1716675646.95411d75b2af.25.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:95c7e207ed08cc1ad6c8db10e9ff63a7108b01447e848f8f17d78ffe89be4c96
|
| 3 |
+
size 411
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 10.0,
|
| 3 |
+
"total_flos": 4.09349935387607e+19,
|
| 4 |
+
"train_loss": 0.45005689912540897,
|
| 5 |
+
"train_runtime": 16363.7477,
|
| 6 |
+
"train_samples_per_second": 10.744,
|
| 7 |
+
"train_steps_per_second": 0.672
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,883 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.34852299094200134,
|
| 3 |
+
"best_model_checkpoint": "./convnext-base-3e-4/checkpoint-10990",
|
| 4 |
+
"epoch": 10.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 10990,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.09,
|
| 13 |
+
"grad_norm": 17.357587814331055,
|
| 14 |
+
"learning_rate": 0.00029993871755982685,
|
| 15 |
+
"loss": 2.1854,
|
| 16 |
+
"step": 100
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.18,
|
| 20 |
+
"grad_norm": 28.103832244873047,
|
| 21 |
+
"learning_rate": 0.0002997549203131404,
|
| 22 |
+
"loss": 1.4323,
|
| 23 |
+
"step": 200
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.27,
|
| 27 |
+
"grad_norm": 15.243412017822266,
|
| 28 |
+
"learning_rate": 0.0002994487584405243,
|
| 29 |
+
"loss": 1.3262,
|
| 30 |
+
"step": 300
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.36,
|
| 34 |
+
"grad_norm": 13.571104049682617,
|
| 35 |
+
"learning_rate": 0.00029902048210660057,
|
| 36 |
+
"loss": 1.164,
|
| 37 |
+
"step": 400
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.45,
|
| 41 |
+
"grad_norm": 11.755253791809082,
|
| 42 |
+
"learning_rate": 0.00029847044125561983,
|
| 43 |
+
"loss": 1.1175,
|
| 44 |
+
"step": 500
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.55,
|
| 48 |
+
"grad_norm": 8.938959121704102,
|
| 49 |
+
"learning_rate": 0.00029779908532552276,
|
| 50 |
+
"loss": 1.0117,
|
| 51 |
+
"step": 600
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.64,
|
| 55 |
+
"grad_norm": 8.597779273986816,
|
| 56 |
+
"learning_rate": 0.00029700696288070426,
|
| 57 |
+
"loss": 1.0719,
|
| 58 |
+
"step": 700
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.73,
|
| 62 |
+
"grad_norm": 12.803329467773438,
|
| 63 |
+
"learning_rate": 0.0002960947211637822,
|
| 64 |
+
"loss": 1.0533,
|
| 65 |
+
"step": 800
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.82,
|
| 69 |
+
"grad_norm": 12.126448631286621,
|
| 70 |
+
"learning_rate": 0.00029506310556673567,
|
| 71 |
+
"loss": 0.9138,
|
| 72 |
+
"step": 900
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.91,
|
| 76 |
+
"grad_norm": 8.313648223876953,
|
| 77 |
+
"learning_rate": 0.0002939129590218462,
|
| 78 |
+
"loss": 0.8947,
|
| 79 |
+
"step": 1000
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 1.0,
|
| 83 |
+
"eval_accuracy": 0.7884691848906561,
|
| 84 |
+
"eval_loss": 0.7363528609275818,
|
| 85 |
+
"eval_runtime": 103.2916,
|
| 86 |
+
"eval_samples_per_second": 24.349,
|
| 87 |
+
"eval_steps_per_second": 1.53,
|
| 88 |
+
"step": 1099
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 1.0,
|
| 92 |
+
"grad_norm": 8.587052345275879,
|
| 93 |
+
"learning_rate": 0.00029264522131293815,
|
| 94 |
+
"loss": 0.9902,
|
| 95 |
+
"step": 1100
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 1.09,
|
| 99 |
+
"grad_norm": 8.60452938079834,
|
| 100 |
+
"learning_rate": 0.00029126092830748215,
|
| 101 |
+
"loss": 0.8517,
|
| 102 |
+
"step": 1200
|
| 103 |
+
},
|
| 104 |
+
{
|
| 105 |
+
"epoch": 1.18,
|
| 106 |
+
"grad_norm": 14.598617553710938,
|
| 107 |
+
"learning_rate": 0.00028976121111018877,
|
| 108 |
+
"loss": 0.802,
|
| 109 |
+
"step": 1300
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 1.27,
|
| 113 |
+
"grad_norm": 7.155284881591797,
|
| 114 |
+
"learning_rate": 0.00028814729513878363,
|
| 115 |
+
"loss": 0.7962,
|
| 116 |
+
"step": 1400
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 1.36,
|
| 120 |
+
"grad_norm": 13.24478816986084,
|
| 121 |
+
"learning_rate": 0.00028642049912271946,
|
| 122 |
+
"loss": 0.7782,
|
| 123 |
+
"step": 1500
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 1.46,
|
| 127 |
+
"grad_norm": 10.02603530883789,
|
| 128 |
+
"learning_rate": 0.0002845822340256436,
|
| 129 |
+
"loss": 0.7813,
|
| 130 |
+
"step": 1600
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"epoch": 1.55,
|
| 134 |
+
"grad_norm": 10.052382469177246,
|
| 135 |
+
"learning_rate": 0.00028263400189250057,
|
| 136 |
+
"loss": 0.8079,
|
| 137 |
+
"step": 1700
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 1.64,
|
| 141 |
+
"grad_norm": 8.431123733520508,
|
| 142 |
+
"learning_rate": 0.0002805773946222121,
|
| 143 |
+
"loss": 0.8041,
|
| 144 |
+
"step": 1800
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 1.73,
|
| 148 |
+
"grad_norm": 7.3062944412231445,
|
| 149 |
+
"learning_rate": 0.00027841409266693835,
|
| 150 |
+
"loss": 0.8019,
|
| 151 |
+
"step": 1900
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 1.82,
|
| 155 |
+
"grad_norm": 7.146261215209961,
|
| 156 |
+
"learning_rate": 0.0002761458636589813,
|
| 157 |
+
"loss": 0.679,
|
| 158 |
+
"step": 2000
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 1.91,
|
| 162 |
+
"grad_norm": 12.160822868347168,
|
| 163 |
+
"learning_rate": 0.0002737745609664539,
|
| 164 |
+
"loss": 0.7643,
|
| 165 |
+
"step": 2100
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 2.0,
|
| 169 |
+
"eval_accuracy": 0.8170974155069582,
|
| 170 |
+
"eval_loss": 0.628582775592804,
|
| 171 |
+
"eval_runtime": 103.2407,
|
| 172 |
+
"eval_samples_per_second": 24.361,
|
| 173 |
+
"eval_steps_per_second": 1.53,
|
| 174 |
+
"step": 2198
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 2.0,
|
| 178 |
+
"grad_norm": 14.596354484558105,
|
| 179 |
+
"learning_rate": 0.00027130212217889483,
|
| 180 |
+
"loss": 0.7511,
|
| 181 |
+
"step": 2200
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"epoch": 2.09,
|
| 185 |
+
"grad_norm": 11.497203826904297,
|
| 186 |
+
"learning_rate": 0.000268730567524065,
|
| 187 |
+
"loss": 0.6527,
|
| 188 |
+
"step": 2300
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 2.18,
|
| 192 |
+
"grad_norm": 6.976894855499268,
|
| 193 |
+
"learning_rate": 0.00026606199821722166,
|
| 194 |
+
"loss": 0.6289,
|
| 195 |
+
"step": 2400
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 2.27,
|
| 199 |
+
"grad_norm": 9.718855857849121,
|
| 200 |
+
"learning_rate": 0.0002632985947442167,
|
| 201 |
+
"loss": 0.6755,
|
| 202 |
+
"step": 2500
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"epoch": 2.37,
|
| 206 |
+
"grad_norm": 6.231022357940674,
|
| 207 |
+
"learning_rate": 0.00026044261507982355,
|
| 208 |
+
"loss": 0.6377,
|
| 209 |
+
"step": 2600
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 2.46,
|
| 213 |
+
"grad_norm": 15.673833847045898,
|
| 214 |
+
"learning_rate": 0.0002574963928427478,
|
| 215 |
+
"loss": 0.626,
|
| 216 |
+
"step": 2700
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 2.55,
|
| 220 |
+
"grad_norm": 5.745795726776123,
|
| 221 |
+
"learning_rate": 0.00025446233538882923,
|
| 222 |
+
"loss": 0.6276,
|
| 223 |
+
"step": 2800
|
| 224 |
+
},
|
| 225 |
+
{
|
| 226 |
+
"epoch": 2.64,
|
| 227 |
+
"grad_norm": 11.555608749389648,
|
| 228 |
+
"learning_rate": 0.00025134292184399317,
|
| 229 |
+
"loss": 0.695,
|
| 230 |
+
"step": 2900
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 2.73,
|
| 234 |
+
"grad_norm": 7.4662089347839355,
|
| 235 |
+
"learning_rate": 0.00024814070107855875,
|
| 236 |
+
"loss": 0.6095,
|
| 237 |
+
"step": 3000
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 2.82,
|
| 241 |
+
"grad_norm": 7.660247802734375,
|
| 242 |
+
"learning_rate": 0.00024485828962455907,
|
| 243 |
+
"loss": 0.631,
|
| 244 |
+
"step": 3100
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"epoch": 2.91,
|
| 248 |
+
"grad_norm": 9.731380462646484,
|
| 249 |
+
"learning_rate": 0.00024149836953777485,
|
| 250 |
+
"loss": 0.6036,
|
| 251 |
+
"step": 3200
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 3.0,
|
| 255 |
+
"eval_accuracy": 0.8481113320079523,
|
| 256 |
+
"eval_loss": 0.5258452892303467,
|
| 257 |
+
"eval_runtime": 104.1346,
|
| 258 |
+
"eval_samples_per_second": 24.151,
|
| 259 |
+
"eval_steps_per_second": 1.517,
|
| 260 |
+
"step": 3297
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 3.0,
|
| 264 |
+
"grad_norm": 5.469219207763672,
|
| 265 |
+
"learning_rate": 0.00023806368620622872,
|
| 266 |
+
"loss": 0.5889,
|
| 267 |
+
"step": 3300
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 3.09,
|
| 271 |
+
"grad_norm": 8.50100040435791,
|
| 272 |
+
"learning_rate": 0.0002345570461069312,
|
| 273 |
+
"loss": 0.5034,
|
| 274 |
+
"step": 3400
|
| 275 |
+
},
|
| 276 |
+
{
|
| 277 |
+
"epoch": 3.18,
|
| 278 |
+
"grad_norm": 12.361306190490723,
|
| 279 |
+
"learning_rate": 0.00023098131451271015,
|
| 280 |
+
"loss": 0.5181,
|
| 281 |
+
"step": 3500
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 3.28,
|
| 285 |
+
"grad_norm": 7.584137439727783,
|
| 286 |
+
"learning_rate": 0.0002273394131509988,
|
| 287 |
+
"loss": 0.5336,
|
| 288 |
+
"step": 3600
|
| 289 |
+
},
|
| 290 |
+
{
|
| 291 |
+
"epoch": 3.37,
|
| 292 |
+
"grad_norm": 10.401506423950195,
|
| 293 |
+
"learning_rate": 0.0002236343178164948,
|
| 294 |
+
"loss": 0.5216,
|
| 295 |
+
"step": 3700
|
| 296 |
+
},
|
| 297 |
+
{
|
| 298 |
+
"epoch": 3.46,
|
| 299 |
+
"grad_norm": 5.352778434753418,
|
| 300 |
+
"learning_rate": 0.00021986905593964046,
|
| 301 |
+
"loss": 0.4939,
|
| 302 |
+
"step": 3800
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 3.55,
|
| 306 |
+
"grad_norm": 7.9993109703063965,
|
| 307 |
+
"learning_rate": 0.0002160467041129117,
|
| 308 |
+
"loss": 0.521,
|
| 309 |
+
"step": 3900
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 3.64,
|
| 313 |
+
"grad_norm": 9.176218032836914,
|
| 314 |
+
"learning_rate": 0.00021217038557693726,
|
| 315 |
+
"loss": 0.5288,
|
| 316 |
+
"step": 4000
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"epoch": 3.73,
|
| 320 |
+
"grad_norm": 9.322657585144043,
|
| 321 |
+
"learning_rate": 0.0002082432676685007,
|
| 322 |
+
"loss": 0.5168,
|
| 323 |
+
"step": 4100
|
| 324 |
+
},
|
| 325 |
+
{
|
| 326 |
+
"epoch": 3.82,
|
| 327 |
+
"grad_norm": 5.861387252807617,
|
| 328 |
+
"learning_rate": 0.00020426855923251228,
|
| 329 |
+
"loss": 0.5081,
|
| 330 |
+
"step": 4200
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 3.91,
|
| 334 |
+
"grad_norm": 4.290045261383057,
|
| 335 |
+
"learning_rate": 0.00020024950800006462,
|
| 336 |
+
"loss": 0.5012,
|
| 337 |
+
"step": 4300
|
| 338 |
+
},
|
| 339 |
+
{
|
| 340 |
+
"epoch": 4.0,
|
| 341 |
+
"eval_accuracy": 0.869582504970179,
|
| 342 |
+
"eval_loss": 0.49109867215156555,
|
| 343 |
+
"eval_runtime": 102.6443,
|
| 344 |
+
"eval_samples_per_second": 24.502,
|
| 345 |
+
"eval_steps_per_second": 1.539,
|
| 346 |
+
"step": 4396
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 4.0,
|
| 350 |
+
"grad_norm": 4.063934803009033,
|
| 351 |
+
"learning_rate": 0.0001961893979347137,
|
| 352 |
+
"loss": 0.4754,
|
| 353 |
+
"step": 4400
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 4.09,
|
| 357 |
+
"grad_norm": 5.163869380950928,
|
| 358 |
+
"learning_rate": 0.00019209154654915522,
|
| 359 |
+
"loss": 0.4471,
|
| 360 |
+
"step": 4500
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 4.19,
|
| 364 |
+
"grad_norm": 3.733952522277832,
|
| 365 |
+
"learning_rate": 0.0001879593021944875,
|
| 366 |
+
"loss": 0.4004,
|
| 367 |
+
"step": 4600
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 4.28,
|
| 371 |
+
"grad_norm": 7.615368366241455,
|
| 372 |
+
"learning_rate": 0.00018379604132427648,
|
| 373 |
+
"loss": 0.4076,
|
| 374 |
+
"step": 4700
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 4.37,
|
| 378 |
+
"grad_norm": 9.600367546081543,
|
| 379 |
+
"learning_rate": 0.0001796051657356582,
|
| 380 |
+
"loss": 0.4035,
|
| 381 |
+
"step": 4800
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 4.46,
|
| 385 |
+
"grad_norm": 9.41919231414795,
|
| 386 |
+
"learning_rate": 0.0001753900997897331,
|
| 387 |
+
"loss": 0.4281,
|
| 388 |
+
"step": 4900
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 4.55,
|
| 392 |
+
"grad_norm": 13.647310256958008,
|
| 393 |
+
"learning_rate": 0.00017115428761352327,
|
| 394 |
+
"loss": 0.3674,
|
| 395 |
+
"step": 5000
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 4.64,
|
| 399 |
+
"grad_norm": 2.1058132648468018,
|
| 400 |
+
"learning_rate": 0.00016690119028577906,
|
| 401 |
+
"loss": 0.3917,
|
| 402 |
+
"step": 5100
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 4.73,
|
| 406 |
+
"grad_norm": 4.259520053863525,
|
| 407 |
+
"learning_rate": 0.0001626342830089342,
|
| 408 |
+
"loss": 0.3899,
|
| 409 |
+
"step": 5200
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 4.82,
|
| 413 |
+
"grad_norm": 4.13034200668335,
|
| 414 |
+
"learning_rate": 0.0001583570522695211,
|
| 415 |
+
"loss": 0.4178,
|
| 416 |
+
"step": 5300
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 4.91,
|
| 420 |
+
"grad_norm": 13.085577011108398,
|
| 421 |
+
"learning_rate": 0.00015407299298936486,
|
| 422 |
+
"loss": 0.3926,
|
| 423 |
+
"step": 5400
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 5.0,
|
| 427 |
+
"eval_accuracy": 0.8930417495029821,
|
| 428 |
+
"eval_loss": 0.38039031624794006,
|
| 429 |
+
"eval_runtime": 103.7463,
|
| 430 |
+
"eval_samples_per_second": 24.242,
|
| 431 |
+
"eval_steps_per_second": 1.523,
|
| 432 |
+
"step": 5495
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 5.0,
|
| 436 |
+
"grad_norm": 3.522939443588257,
|
| 437 |
+
"learning_rate": 0.000149785605669886,
|
| 438 |
+
"loss": 0.3671,
|
| 439 |
+
"step": 5500
|
| 440 |
+
},
|
| 441 |
+
{
|
| 442 |
+
"epoch": 5.1,
|
| 443 |
+
"grad_norm": 5.17425537109375,
|
| 444 |
+
"learning_rate": 0.00014549839353184327,
|
| 445 |
+
"loss": 0.3017,
|
| 446 |
+
"step": 5600
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 5.19,
|
| 450 |
+
"grad_norm": 6.327219009399414,
|
| 451 |
+
"learning_rate": 0.00014121485965285484,
|
| 452 |
+
"loss": 0.2922,
|
| 453 |
+
"step": 5700
|
| 454 |
+
},
|
| 455 |
+
{
|
| 456 |
+
"epoch": 5.28,
|
| 457 |
+
"grad_norm": 0.7092263102531433,
|
| 458 |
+
"learning_rate": 0.00013693850410503614,
|
| 459 |
+
"loss": 0.314,
|
| 460 |
+
"step": 5800
|
| 461 |
+
},
|
| 462 |
+
{
|
| 463 |
+
"epoch": 5.37,
|
| 464 |
+
"grad_norm": 0.38373059034347534,
|
| 465 |
+
"learning_rate": 0.0001326728210950942,
|
| 466 |
+
"loss": 0.3141,
|
| 467 |
+
"step": 5900
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 5.46,
|
| 471 |
+
"grad_norm": 5.553852558135986,
|
| 472 |
+
"learning_rate": 0.00012842129610921376,
|
| 473 |
+
"loss": 0.2821,
|
| 474 |
+
"step": 6000
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 5.55,
|
| 478 |
+
"grad_norm": 3.678790330886841,
|
| 479 |
+
"learning_rate": 0.00012418740306506922,
|
| 480 |
+
"loss": 0.3359,
|
| 481 |
+
"step": 6100
|
| 482 |
+
},
|
| 483 |
+
{
|
| 484 |
+
"epoch": 5.64,
|
| 485 |
+
"grad_norm": 4.428023338317871,
|
| 486 |
+
"learning_rate": 0.00011997460147328983,
|
| 487 |
+
"loss": 0.2825,
|
| 488 |
+
"step": 6200
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 5.73,
|
| 492 |
+
"grad_norm": 3.3043198585510254,
|
| 493 |
+
"learning_rate": 0.00011578633361069557,
|
| 494 |
+
"loss": 0.3317,
|
| 495 |
+
"step": 6300
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 5.82,
|
| 499 |
+
"grad_norm": 1.317456603050232,
|
| 500 |
+
"learning_rate": 0.0001116260217076161,
|
| 501 |
+
"loss": 0.2983,
|
| 502 |
+
"step": 6400
|
| 503 |
+
},
|
| 504 |
+
{
|
| 505 |
+
"epoch": 5.91,
|
| 506 |
+
"grad_norm": 8.99087142944336,
|
| 507 |
+
"learning_rate": 0.00010749706515158862,
|
| 508 |
+
"loss": 0.3348,
|
| 509 |
+
"step": 6500
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 6.0,
|
| 513 |
+
"eval_accuracy": 0.8970178926441352,
|
| 514 |
+
"eval_loss": 0.41324833035469055,
|
| 515 |
+
"eval_runtime": 103.3001,
|
| 516 |
+
"eval_samples_per_second": 24.347,
|
| 517 |
+
"eval_steps_per_second": 1.53,
|
| 518 |
+
"step": 6594
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 6.01,
|
| 522 |
+
"grad_norm": 4.097568988800049,
|
| 523 |
+
"learning_rate": 0.00010340283770972167,
|
| 524 |
+
"loss": 0.3045,
|
| 525 |
+
"step": 6600
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 6.1,
|
| 529 |
+
"grad_norm": 10.98578929901123,
|
| 530 |
+
"learning_rate": 9.93466847719919e-05,
|
| 531 |
+
"loss": 0.2327,
|
| 532 |
+
"step": 6700
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"epoch": 6.19,
|
| 536 |
+
"grad_norm": 13.919866561889648,
|
| 537 |
+
"learning_rate": 9.533192061772917e-05,
|
| 538 |
+
"loss": 0.2696,
|
| 539 |
+
"step": 6800
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 6.28,
|
| 543 |
+
"grad_norm": 6.072042942047119,
|
| 544 |
+
"learning_rate": 9.136182570752152e-05,
|
| 545 |
+
"loss": 0.2258,
|
| 546 |
+
"step": 6900
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 6.37,
|
| 550 |
+
"grad_norm": 0.17451171576976776,
|
| 551 |
+
"learning_rate": 8.743964400275302e-05,
|
| 552 |
+
"loss": 0.2406,
|
| 553 |
+
"step": 7000
|
| 554 |
+
},
|
| 555 |
+
{
|
| 556 |
+
"epoch": 6.46,
|
| 557 |
+
"grad_norm": 0.33122172951698303,
|
| 558 |
+
"learning_rate": 8.356858031496595e-05,
|
| 559 |
+
"loss": 0.2505,
|
| 560 |
+
"step": 7100
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 6.55,
|
| 564 |
+
"grad_norm": 1.151172161102295,
|
| 565 |
+
"learning_rate": 7.975179768721186e-05,
|
| 566 |
+
"loss": 0.1903,
|
| 567 |
+
"step": 7200
|
| 568 |
+
},
|
| 569 |
+
{
|
| 570 |
+
"epoch": 6.64,
|
| 571 |
+
"grad_norm": 0.7031873464584351,
|
| 572 |
+
"learning_rate": 7.59924148095311e-05,
|
| 573 |
+
"loss": 0.2085,
|
| 574 |
+
"step": 7300
|
| 575 |
+
},
|
| 576 |
+
{
|
| 577 |
+
"epoch": 6.73,
|
| 578 |
+
"grad_norm": 6.131903171539307,
|
| 579 |
+
"learning_rate": 7.229350347067424e-05,
|
| 580 |
+
"loss": 0.2471,
|
| 581 |
+
"step": 7400
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"epoch": 6.82,
|
| 585 |
+
"grad_norm": 6.110349178314209,
|
| 586 |
+
"learning_rate": 6.865808604814564e-05,
|
| 587 |
+
"loss": 0.2085,
|
| 588 |
+
"step": 7500
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"epoch": 6.92,
|
| 592 |
+
"grad_norm": 4.413149833679199,
|
| 593 |
+
"learning_rate": 6.508913303862143e-05,
|
| 594 |
+
"loss": 0.2594,
|
| 595 |
+
"step": 7600
|
| 596 |
+
},
|
| 597 |
+
{
|
| 598 |
+
"epoch": 7.0,
|
| 599 |
+
"eval_accuracy": 0.9153081510934393,
|
| 600 |
+
"eval_loss": 0.3626956641674042,
|
| 601 |
+
"eval_runtime": 103.1814,
|
| 602 |
+
"eval_samples_per_second": 24.375,
|
| 603 |
+
"eval_steps_per_second": 1.531,
|
| 604 |
+
"step": 7693
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 7.01,
|
| 608 |
+
"grad_norm": 3.3153018951416016,
|
| 609 |
+
"learning_rate": 6.158956063075865e-05,
|
| 610 |
+
"loss": 0.1743,
|
| 611 |
+
"step": 7700
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 7.1,
|
| 615 |
+
"grad_norm": 2.5595600605010986,
|
| 616 |
+
"learning_rate": 5.816222832238015e-05,
|
| 617 |
+
"loss": 0.1699,
|
| 618 |
+
"step": 7800
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 7.19,
|
| 622 |
+
"grad_norm": 3.9605636596679688,
|
| 623 |
+
"learning_rate": 5.4809936583981286e-05,
|
| 624 |
+
"loss": 0.2036,
|
| 625 |
+
"step": 7900
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 7.28,
|
| 629 |
+
"grad_norm": 0.7597993612289429,
|
| 630 |
+
"learning_rate": 5.1535424570467366e-05,
|
| 631 |
+
"loss": 0.1829,
|
| 632 |
+
"step": 8000
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 7.37,
|
| 636 |
+
"grad_norm": 5.694293022155762,
|
| 637 |
+
"learning_rate": 4.834136788299248e-05,
|
| 638 |
+
"loss": 0.2039,
|
| 639 |
+
"step": 8100
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 7.46,
|
| 643 |
+
"grad_norm": 0.5163713097572327,
|
| 644 |
+
"learning_rate": 4.523037638272821e-05,
|
| 645 |
+
"loss": 0.1764,
|
| 646 |
+
"step": 8200
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 7.55,
|
| 650 |
+
"grad_norm": 4.396867275238037,
|
| 651 |
+
"learning_rate": 4.220499205834782e-05,
|
| 652 |
+
"loss": 0.1862,
|
| 653 |
+
"step": 8300
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 7.64,
|
| 657 |
+
"grad_norm": 0.054451316595077515,
|
| 658 |
+
"learning_rate": 3.926768694896931e-05,
|
| 659 |
+
"loss": 0.1773,
|
| 660 |
+
"step": 8400
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 7.73,
|
| 664 |
+
"grad_norm": 0.23744052648544312,
|
| 665 |
+
"learning_rate": 3.64208611242546e-05,
|
| 666 |
+
"loss": 0.1648,
|
| 667 |
+
"step": 8500
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 7.83,
|
| 671 |
+
"grad_norm": 3.540268659591675,
|
| 672 |
+
"learning_rate": 3.366684072331414e-05,
|
| 673 |
+
"loss": 0.1541,
|
| 674 |
+
"step": 8600
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 7.92,
|
| 678 |
+
"grad_norm": 0.33744722604751587,
|
| 679 |
+
"learning_rate": 3.100787605402072e-05,
|
| 680 |
+
"loss": 0.1751,
|
| 681 |
+
"step": 8700
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 8.0,
|
| 685 |
+
"eval_accuracy": 0.9308151093439364,
|
| 686 |
+
"eval_loss": 0.3506681025028229,
|
| 687 |
+
"eval_runtime": 103.8384,
|
| 688 |
+
"eval_samples_per_second": 24.22,
|
| 689 |
+
"eval_steps_per_second": 1.522,
|
| 690 |
+
"step": 8792
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 8.01,
|
| 694 |
+
"grad_norm": 0.13831892609596252,
|
| 695 |
+
"learning_rate": 2.844613975428448e-05,
|
| 696 |
+
"loss": 0.1472,
|
| 697 |
+
"step": 8800
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 8.1,
|
| 701 |
+
"grad_norm": 2.3098576068878174,
|
| 702 |
+
"learning_rate": 2.5983725016792572e-05,
|
| 703 |
+
"loss": 0.1772,
|
| 704 |
+
"step": 8900
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 8.19,
|
| 708 |
+
"grad_norm": 0.10428429394960403,
|
| 709 |
+
"learning_rate": 2.3622643878662696e-05,
|
| 710 |
+
"loss": 0.1524,
|
| 711 |
+
"step": 9000
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 8.28,
|
| 715 |
+
"grad_norm": 9.646160125732422,
|
| 716 |
+
"learning_rate": 2.1364825577409422e-05,
|
| 717 |
+
"loss": 0.1023,
|
| 718 |
+
"step": 9100
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 8.37,
|
| 722 |
+
"grad_norm": 0.3879956305027008,
|
| 723 |
+
"learning_rate": 1.9212114974565664e-05,
|
| 724 |
+
"loss": 0.1421,
|
| 725 |
+
"step": 9200
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 8.46,
|
| 729 |
+
"grad_norm": 0.022449787706136703,
|
| 730 |
+
"learning_rate": 1.7166271048247792e-05,
|
| 731 |
+
"loss": 0.1101,
|
| 732 |
+
"step": 9300
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"epoch": 8.55,
|
| 736 |
+
"grad_norm": 4.682805061340332,
|
| 737 |
+
"learning_rate": 1.5228965455896053e-05,
|
| 738 |
+
"loss": 0.1355,
|
| 739 |
+
"step": 9400
|
| 740 |
+
},
|
| 741 |
+
{
|
| 742 |
+
"epoch": 8.64,
|
| 743 |
+
"grad_norm": 4.212618350982666,
|
| 744 |
+
"learning_rate": 1.3401781168364589e-05,
|
| 745 |
+
"loss": 0.1465,
|
| 746 |
+
"step": 9500
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 8.74,
|
| 750 |
+
"grad_norm": 0.17709462344646454,
|
| 751 |
+
"learning_rate": 1.1686211176477206e-05,
|
| 752 |
+
"loss": 0.1375,
|
| 753 |
+
"step": 9600
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 8.83,
|
| 757 |
+
"grad_norm": 7.981707572937012,
|
| 758 |
+
"learning_rate": 1.0083657271105799e-05,
|
| 759 |
+
"loss": 0.1498,
|
| 760 |
+
"step": 9700
|
| 761 |
+
},
|
| 762 |
+
{
|
| 763 |
+
"epoch": 8.92,
|
| 764 |
+
"grad_norm": 7.477297306060791,
|
| 765 |
+
"learning_rate": 8.59542889776807e-06,
|
| 766 |
+
"loss": 0.1613,
|
| 767 |
+
"step": 9800
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 9.0,
|
| 771 |
+
"eval_accuracy": 0.9300198807157057,
|
| 772 |
+
"eval_loss": 0.34880414605140686,
|
| 773 |
+
"eval_runtime": 103.3381,
|
| 774 |
+
"eval_samples_per_second": 24.338,
|
| 775 |
+
"eval_steps_per_second": 1.529,
|
| 776 |
+
"step": 9891
|
| 777 |
+
},
|
| 778 |
+
{
|
| 779 |
+
"epoch": 9.01,
|
| 780 |
+
"grad_norm": 1.4414594173431396,
|
| 781 |
+
"learning_rate": 7.222742086680755e-06,
|
| 782 |
+
"loss": 0.1335,
|
| 783 |
+
"step": 9900
|
| 784 |
+
},
|
| 785 |
+
{
|
| 786 |
+
"epoch": 9.1,
|
| 787 |
+
"grad_norm": 4.2091474533081055,
|
| 788 |
+
"learning_rate": 5.966718459142195e-06,
|
| 789 |
+
"loss": 0.1066,
|
| 790 |
+
"step": 10000
|
| 791 |
+
},
|
| 792 |
+
{
|
| 793 |
+
"epoch": 9.19,
|
| 794 |
+
"grad_norm": 18.196033477783203,
|
| 795 |
+
"learning_rate": 4.828384311056549e-06,
|
| 796 |
+
"loss": 0.125,
|
| 797 |
+
"step": 10100
|
| 798 |
+
},
|
| 799 |
+
{
|
| 800 |
+
"epoch": 9.28,
|
| 801 |
+
"grad_norm": 2.323212146759033,
|
| 802 |
+
"learning_rate": 3.8086697743481664e-06,
|
| 803 |
+
"loss": 0.1239,
|
| 804 |
+
"step": 10200
|
| 805 |
+
},
|
| 806 |
+
{
|
| 807 |
+
"epoch": 9.37,
|
| 808 |
+
"grad_norm": 0.2004556953907013,
|
| 809 |
+
"learning_rate": 2.9084080569515775e-06,
|
| 810 |
+
"loss": 0.1076,
|
| 811 |
+
"step": 10300
|
| 812 |
+
},
|
| 813 |
+
{
|
| 814 |
+
"epoch": 9.46,
|
| 815 |
+
"grad_norm": 12.655696868896484,
|
| 816 |
+
"learning_rate": 2.128334761997924e-06,
|
| 817 |
+
"loss": 0.1054,
|
| 818 |
+
"step": 10400
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 9.55,
|
| 822 |
+
"grad_norm": 0.03721316158771515,
|
| 823 |
+
"learning_rate": 1.469087286754289e-06,
|
| 824 |
+
"loss": 0.125,
|
| 825 |
+
"step": 10500
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 9.65,
|
| 829 |
+
"grad_norm": 3.7458605766296387,
|
| 830 |
+
"learning_rate": 9.31204301806776e-07,
|
| 831 |
+
"loss": 0.1161,
|
| 832 |
+
"step": 10600
|
| 833 |
+
},
|
| 834 |
+
{
|
| 835 |
+
"epoch": 9.74,
|
| 836 |
+
"grad_norm": 0.63627690076828,
|
| 837 |
+
"learning_rate": 5.151253109133391e-07,
|
| 838 |
+
"loss": 0.1342,
|
| 839 |
+
"step": 10700
|
| 840 |
+
},
|
| 841 |
+
{
|
| 842 |
+
"epoch": 9.83,
|
| 843 |
+
"grad_norm": 7.162803649902344,
|
| 844 |
+
"learning_rate": 2.211902918855313e-07,
|
| 845 |
+
"loss": 0.1365,
|
| 846 |
+
"step": 10800
|
| 847 |
+
},
|
| 848 |
+
{
|
| 849 |
+
"epoch": 9.92,
|
| 850 |
+
"grad_norm": 1.5799212455749512,
|
| 851 |
+
"learning_rate": 4.9639418792951634e-08,
|
| 852 |
+
"loss": 0.1102,
|
| 853 |
+
"step": 10900
|
| 854 |
+
},
|
| 855 |
+
{
|
| 856 |
+
"epoch": 10.0,
|
| 857 |
+
"eval_accuracy": 0.9280318091451292,
|
| 858 |
+
"eval_loss": 0.34852299094200134,
|
| 859 |
+
"eval_runtime": 103.4235,
|
| 860 |
+
"eval_samples_per_second": 24.317,
|
| 861 |
+
"eval_steps_per_second": 1.528,
|
| 862 |
+
"step": 10990
|
| 863 |
+
},
|
| 864 |
+
{
|
| 865 |
+
"epoch": 10.0,
|
| 866 |
+
"step": 10990,
|
| 867 |
+
"total_flos": 4.09349935387607e+19,
|
| 868 |
+
"train_loss": 0.45005689912540897,
|
| 869 |
+
"train_runtime": 16363.7477,
|
| 870 |
+
"train_samples_per_second": 10.744,
|
| 871 |
+
"train_steps_per_second": 0.672
|
| 872 |
+
}
|
| 873 |
+
],
|
| 874 |
+
"logging_steps": 100,
|
| 875 |
+
"max_steps": 10990,
|
| 876 |
+
"num_input_tokens_seen": 0,
|
| 877 |
+
"num_train_epochs": 10,
|
| 878 |
+
"save_steps": 500,
|
| 879 |
+
"total_flos": 4.09349935387607e+19,
|
| 880 |
+
"train_batch_size": 16,
|
| 881 |
+
"trial_name": null,
|
| 882 |
+
"trial_params": null
|
| 883 |
+
}
|