Training in progress, step 100, checkpoint
Browse files- .gitattributes +8 -0
- last-checkpoint/optimizer_0/.metadata +0 -0
- last-checkpoint/optimizer_0/__0_0.distcp +3 -0
- last-checkpoint/optimizer_0/__1_0.distcp +3 -0
- last-checkpoint/optimizer_0/__2_0.distcp +3 -0
- last-checkpoint/optimizer_0/__3_0.distcp +3 -0
- last-checkpoint/pytorch_model_fsdp_0/.metadata +0 -0
- last-checkpoint/pytorch_model_fsdp_0/__0_0.distcp +3 -0
- last-checkpoint/pytorch_model_fsdp_0/__1_0.distcp +3 -0
- last-checkpoint/pytorch_model_fsdp_0/__2_0.distcp +3 -0
- last-checkpoint/pytorch_model_fsdp_0/__3_0.distcp +3 -0
- last-checkpoint/rng_state_0.pth +3 -0
- last-checkpoint/rng_state_1.pth +3 -0
- last-checkpoint/rng_state_2.pth +3 -0
- last-checkpoint/rng_state_3.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/trainer_state.json +805 -0
.gitattributes
CHANGED
@@ -33,3 +33,11 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
36 |
+
last-checkpoint/optimizer_0/__0_0.distcp filter=lfs diff=lfs merge=lfs -text
|
37 |
+
last-checkpoint/optimizer_0/__1_0.distcp filter=lfs diff=lfs merge=lfs -text
|
38 |
+
last-checkpoint/optimizer_0/__2_0.distcp filter=lfs diff=lfs merge=lfs -text
|
39 |
+
last-checkpoint/optimizer_0/__3_0.distcp filter=lfs diff=lfs merge=lfs -text
|
40 |
+
last-checkpoint/pytorch_model_fsdp_0/__0_0.distcp filter=lfs diff=lfs merge=lfs -text
|
41 |
+
last-checkpoint/pytorch_model_fsdp_0/__1_0.distcp filter=lfs diff=lfs merge=lfs -text
|
42 |
+
last-checkpoint/pytorch_model_fsdp_0/__2_0.distcp filter=lfs diff=lfs merge=lfs -text
|
43 |
+
last-checkpoint/pytorch_model_fsdp_0/__3_0.distcp filter=lfs diff=lfs merge=lfs -text
|
last-checkpoint/optimizer_0/.metadata
ADDED
Binary file (369 kB). View file
|
|
last-checkpoint/optimizer_0/__0_0.distcp
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b4f400f9c8252c3907336d7e343409569f9416a7811ccee54ea90cd6e1487760
|
3 |
+
size 27566236
|
last-checkpoint/optimizer_0/__1_0.distcp
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a321ddd94525214b01034b7dd5c829c8f5c774110e53a835f44598d6f6718356
|
3 |
+
size 27630900
|
last-checkpoint/optimizer_0/__2_0.distcp
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4e69a575ce407be18a88352ce2fba384077c65ac9c525b4ba7510629a05d3142
|
3 |
+
size 27622392
|
last-checkpoint/optimizer_0/__3_0.distcp
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d462087a031a3e8fbfa21af32693f98dca8bf9ef1a4cb3941a166085c457e65d
|
3 |
+
size 27622392
|
last-checkpoint/pytorch_model_fsdp_0/.metadata
ADDED
Binary file (135 kB). View file
|
|
last-checkpoint/pytorch_model_fsdp_0/__0_0.distcp
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b4bbfa20dabe10a871576b86fe5f5a535c6320c9d704ffd31e930374052613e3
|
3 |
+
size 13782528
|
last-checkpoint/pytorch_model_fsdp_0/__1_0.distcp
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:257c58c2297733667c9c0c814d11bc07796191cce00534cb5921f30cdfc776f4
|
3 |
+
size 13782528
|
last-checkpoint/pytorch_model_fsdp_0/__2_0.distcp
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:be68455e2498c25bc93148836614c38b4a427e34fcb5d96afd9877503ec371ef
|
3 |
+
size 13782528
|
last-checkpoint/pytorch_model_fsdp_0/__3_0.distcp
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:97113445bb35120c9d888adbfc2838d204231a098490792274dbfe48ae2d9c0e
|
3 |
+
size 13782528
|
last-checkpoint/rng_state_0.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5e4ead7a9090a756b7fd44dcd84a0128fc3e073a0556a840016ee79c554e0b80
|
3 |
+
size 14960
|
last-checkpoint/rng_state_1.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:45746def86d7a8510cabcc16531091de91eaf8f9bdd39d725096005db8ee2a1a
|
3 |
+
size 14960
|
last-checkpoint/rng_state_2.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d6f6f333666bf8e00dd613a01077ed8920391e394339b3ae8687718cf5f788c2
|
3 |
+
size 14960
|
last-checkpoint/rng_state_3.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:111993f0c7702ea7b86533de3410a44aff0126390ec01a74930984eb2b182a72
|
3 |
+
size 14960
|
last-checkpoint/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a104c065133d085f18edd3e5b4057dbd861eb3e31968053f10edac0d68e4236e
|
3 |
+
size 1064
|
last-checkpoint/trainer_state.json
ADDED
@@ -0,0 +1,805 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.28735632183908044,
|
5 |
+
"eval_steps": 20,
|
6 |
+
"global_step": 100,
|
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,
|
13 |
+
"eval_accuracy": 0.7376237623762376,
|
14 |
+
"eval_f1": 0.11666666666666667,
|
15 |
+
"eval_loss": 0.595770537853241,
|
16 |
+
"eval_precision": 0.5,
|
17 |
+
"eval_recall": 0.0660377358490566,
|
18 |
+
"eval_runtime": 16.1893,
|
19 |
+
"eval_samples_per_second": 6.548,
|
20 |
+
"eval_steps_per_second": 0.247,
|
21 |
+
"step": 0
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.0028735632183908046,
|
25 |
+
"grad_norm": 1.7269402742385864,
|
26 |
+
"learning_rate": 5.714285714285715e-07,
|
27 |
+
"loss": 0.7755,
|
28 |
+
"step": 1
|
29 |
+
},
|
30 |
+
{
|
31 |
+
"epoch": 0.005747126436781609,
|
32 |
+
"grad_norm": 1.7528263330459595,
|
33 |
+
"learning_rate": 1.142857142857143e-06,
|
34 |
+
"loss": 0.7738,
|
35 |
+
"step": 2
|
36 |
+
},
|
37 |
+
{
|
38 |
+
"epoch": 0.008620689655172414,
|
39 |
+
"grad_norm": 1.903218150138855,
|
40 |
+
"learning_rate": 1.7142857142857145e-06,
|
41 |
+
"loss": 0.7635,
|
42 |
+
"step": 3
|
43 |
+
},
|
44 |
+
{
|
45 |
+
"epoch": 0.011494252873563218,
|
46 |
+
"grad_norm": 2.011042833328247,
|
47 |
+
"learning_rate": 2.285714285714286e-06,
|
48 |
+
"loss": 0.7872,
|
49 |
+
"step": 4
|
50 |
+
},
|
51 |
+
{
|
52 |
+
"epoch": 0.014367816091954023,
|
53 |
+
"grad_norm": 1.8846079111099243,
|
54 |
+
"learning_rate": 2.8571428571428573e-06,
|
55 |
+
"loss": 0.7811,
|
56 |
+
"step": 5
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.017241379310344827,
|
60 |
+
"grad_norm": 1.7371026277542114,
|
61 |
+
"learning_rate": 3.428571428571429e-06,
|
62 |
+
"loss": 0.7517,
|
63 |
+
"step": 6
|
64 |
+
},
|
65 |
+
{
|
66 |
+
"epoch": 0.020114942528735632,
|
67 |
+
"grad_norm": 1.8430122137069702,
|
68 |
+
"learning_rate": 4.000000000000001e-06,
|
69 |
+
"loss": 0.7732,
|
70 |
+
"step": 7
|
71 |
+
},
|
72 |
+
{
|
73 |
+
"epoch": 0.022988505747126436,
|
74 |
+
"grad_norm": 1.683440923690796,
|
75 |
+
"learning_rate": 4.571428571428572e-06,
|
76 |
+
"loss": 0.738,
|
77 |
+
"step": 8
|
78 |
+
},
|
79 |
+
{
|
80 |
+
"epoch": 0.02586206896551724,
|
81 |
+
"grad_norm": 1.8083072900772095,
|
82 |
+
"learning_rate": 5.142857142857142e-06,
|
83 |
+
"loss": 0.739,
|
84 |
+
"step": 9
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 0.028735632183908046,
|
88 |
+
"grad_norm": 1.8509185314178467,
|
89 |
+
"learning_rate": 5.7142857142857145e-06,
|
90 |
+
"loss": 0.7536,
|
91 |
+
"step": 10
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"epoch": 0.031609195402298854,
|
95 |
+
"grad_norm": 1.948458194732666,
|
96 |
+
"learning_rate": 6.285714285714286e-06,
|
97 |
+
"loss": 0.7414,
|
98 |
+
"step": 11
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.034482758620689655,
|
102 |
+
"grad_norm": 1.6882693767547607,
|
103 |
+
"learning_rate": 6.857142857142858e-06,
|
104 |
+
"loss": 0.7356,
|
105 |
+
"step": 12
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.03735632183908046,
|
109 |
+
"grad_norm": 1.7302439212799072,
|
110 |
+
"learning_rate": 7.428571428571429e-06,
|
111 |
+
"loss": 0.727,
|
112 |
+
"step": 13
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"epoch": 0.040229885057471264,
|
116 |
+
"grad_norm": 1.6159391403198242,
|
117 |
+
"learning_rate": 8.000000000000001e-06,
|
118 |
+
"loss": 0.7069,
|
119 |
+
"step": 14
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 0.04310344827586207,
|
123 |
+
"grad_norm": 1.63016939163208,
|
124 |
+
"learning_rate": 8.571428571428571e-06,
|
125 |
+
"loss": 0.6835,
|
126 |
+
"step": 15
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 0.04597701149425287,
|
130 |
+
"grad_norm": 1.506463646888733,
|
131 |
+
"learning_rate": 9.142857142857144e-06,
|
132 |
+
"loss": 0.7347,
|
133 |
+
"step": 16
|
134 |
+
},
|
135 |
+
{
|
136 |
+
"epoch": 0.04885057471264368,
|
137 |
+
"grad_norm": 1.412893295288086,
|
138 |
+
"learning_rate": 9.714285714285715e-06,
|
139 |
+
"loss": 0.702,
|
140 |
+
"step": 17
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.05172413793103448,
|
144 |
+
"grad_norm": 1.5896869897842407,
|
145 |
+
"learning_rate": 1.0285714285714285e-05,
|
146 |
+
"loss": 0.6948,
|
147 |
+
"step": 18
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 0.05459770114942529,
|
151 |
+
"grad_norm": 1.4004888534545898,
|
152 |
+
"learning_rate": 1.0857142857142858e-05,
|
153 |
+
"loss": 0.6604,
|
154 |
+
"step": 19
|
155 |
+
},
|
156 |
+
{
|
157 |
+
"epoch": 0.05747126436781609,
|
158 |
+
"grad_norm": 1.3640953302383423,
|
159 |
+
"learning_rate": 1.1428571428571429e-05,
|
160 |
+
"loss": 0.6819,
|
161 |
+
"step": 20
|
162 |
+
},
|
163 |
+
{
|
164 |
+
"epoch": 0.05747126436781609,
|
165 |
+
"eval_accuracy": 0.745049504950495,
|
166 |
+
"eval_f1": 0.13445378151260504,
|
167 |
+
"eval_loss": 0.569399356842041,
|
168 |
+
"eval_precision": 0.6153846153846154,
|
169 |
+
"eval_recall": 0.07547169811320754,
|
170 |
+
"eval_runtime": 17.731,
|
171 |
+
"eval_samples_per_second": 5.978,
|
172 |
+
"eval_steps_per_second": 0.226,
|
173 |
+
"step": 20
|
174 |
+
},
|
175 |
+
{
|
176 |
+
"epoch": 0.0603448275862069,
|
177 |
+
"grad_norm": 1.487462043762207,
|
178 |
+
"learning_rate": 1.2e-05,
|
179 |
+
"loss": 0.6763,
|
180 |
+
"step": 21
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 0.06321839080459771,
|
184 |
+
"grad_norm": 1.291784405708313,
|
185 |
+
"learning_rate": 1.2571428571428572e-05,
|
186 |
+
"loss": 0.6705,
|
187 |
+
"step": 22
|
188 |
+
},
|
189 |
+
{
|
190 |
+
"epoch": 0.06609195402298851,
|
191 |
+
"grad_norm": 1.1527869701385498,
|
192 |
+
"learning_rate": 1.3142857142857145e-05,
|
193 |
+
"loss": 0.6183,
|
194 |
+
"step": 23
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.06896551724137931,
|
198 |
+
"grad_norm": 1.1266508102416992,
|
199 |
+
"learning_rate": 1.3714285714285716e-05,
|
200 |
+
"loss": 0.609,
|
201 |
+
"step": 24
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.07183908045977011,
|
205 |
+
"grad_norm": 1.2343026399612427,
|
206 |
+
"learning_rate": 1.4285714285714287e-05,
|
207 |
+
"loss": 0.619,
|
208 |
+
"step": 25
|
209 |
+
},
|
210 |
+
{
|
211 |
+
"epoch": 0.07471264367816093,
|
212 |
+
"grad_norm": 1.1558549404144287,
|
213 |
+
"learning_rate": 1.4857142857142858e-05,
|
214 |
+
"loss": 0.6031,
|
215 |
+
"step": 26
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 0.07758620689655173,
|
219 |
+
"grad_norm": 1.0646226406097412,
|
220 |
+
"learning_rate": 1.542857142857143e-05,
|
221 |
+
"loss": 0.584,
|
222 |
+
"step": 27
|
223 |
+
},
|
224 |
+
{
|
225 |
+
"epoch": 0.08045977011494253,
|
226 |
+
"grad_norm": 0.975098729133606,
|
227 |
+
"learning_rate": 1.6000000000000003e-05,
|
228 |
+
"loss": 0.5594,
|
229 |
+
"step": 28
|
230 |
+
},
|
231 |
+
{
|
232 |
+
"epoch": 0.08333333333333333,
|
233 |
+
"grad_norm": 1.0657261610031128,
|
234 |
+
"learning_rate": 1.6571428571428574e-05,
|
235 |
+
"loss": 0.567,
|
236 |
+
"step": 29
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.08620689655172414,
|
240 |
+
"grad_norm": 0.872745156288147,
|
241 |
+
"learning_rate": 1.7142857142857142e-05,
|
242 |
+
"loss": 0.5435,
|
243 |
+
"step": 30
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 0.08908045977011494,
|
247 |
+
"grad_norm": 0.8025686144828796,
|
248 |
+
"learning_rate": 1.7714285714285717e-05,
|
249 |
+
"loss": 0.537,
|
250 |
+
"step": 31
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"epoch": 0.09195402298850575,
|
254 |
+
"grad_norm": 0.8637747764587402,
|
255 |
+
"learning_rate": 1.8285714285714288e-05,
|
256 |
+
"loss": 0.541,
|
257 |
+
"step": 32
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 0.09482758620689655,
|
261 |
+
"grad_norm": 1.0375990867614746,
|
262 |
+
"learning_rate": 1.885714285714286e-05,
|
263 |
+
"loss": 0.5199,
|
264 |
+
"step": 33
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 0.09770114942528736,
|
268 |
+
"grad_norm": 0.9441830515861511,
|
269 |
+
"learning_rate": 1.942857142857143e-05,
|
270 |
+
"loss": 0.5388,
|
271 |
+
"step": 34
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 0.10057471264367816,
|
275 |
+
"grad_norm": 0.8663190603256226,
|
276 |
+
"learning_rate": 2e-05,
|
277 |
+
"loss": 0.5268,
|
278 |
+
"step": 35
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.10344827586206896,
|
282 |
+
"grad_norm": 0.9546361565589905,
|
283 |
+
"learning_rate": 1.9999496293646753e-05,
|
284 |
+
"loss": 0.5381,
|
285 |
+
"step": 36
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.10632183908045977,
|
289 |
+
"grad_norm": 0.7847493290901184,
|
290 |
+
"learning_rate": 1.999798522533102e-05,
|
291 |
+
"loss": 0.5131,
|
292 |
+
"step": 37
|
293 |
+
},
|
294 |
+
{
|
295 |
+
"epoch": 0.10919540229885058,
|
296 |
+
"grad_norm": 0.8559457659721375,
|
297 |
+
"learning_rate": 1.9995466947279753e-05,
|
298 |
+
"loss": 0.4771,
|
299 |
+
"step": 38
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 0.11206896551724138,
|
303 |
+
"grad_norm": 0.9539210796356201,
|
304 |
+
"learning_rate": 1.9991941713187477e-05,
|
305 |
+
"loss": 0.4833,
|
306 |
+
"step": 39
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 0.11494252873563218,
|
310 |
+
"grad_norm": 1.2878869771957397,
|
311 |
+
"learning_rate": 1.9987409878190752e-05,
|
312 |
+
"loss": 0.4789,
|
313 |
+
"step": 40
|
314 |
+
},
|
315 |
+
{
|
316 |
+
"epoch": 0.11494252873563218,
|
317 |
+
"eval_accuracy": 0.754950495049505,
|
318 |
+
"eval_f1": 0.5857740585774058,
|
319 |
+
"eval_loss": 0.47763171792030334,
|
320 |
+
"eval_precision": 0.5263157894736842,
|
321 |
+
"eval_recall": 0.660377358490566,
|
322 |
+
"eval_runtime": 17.3231,
|
323 |
+
"eval_samples_per_second": 6.119,
|
324 |
+
"eval_steps_per_second": 0.231,
|
325 |
+
"step": 40
|
326 |
+
},
|
327 |
+
{
|
328 |
+
"epoch": 0.11781609195402298,
|
329 |
+
"grad_norm": 1.0973199605941772,
|
330 |
+
"learning_rate": 1.99818718988324e-05,
|
331 |
+
"loss": 0.4739,
|
332 |
+
"step": 41
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.1206896551724138,
|
336 |
+
"grad_norm": 0.8685905337333679,
|
337 |
+
"learning_rate": 1.9975328333015497e-05,
|
338 |
+
"loss": 0.4639,
|
339 |
+
"step": 42
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 0.1235632183908046,
|
343 |
+
"grad_norm": 0.7956727147102356,
|
344 |
+
"learning_rate": 1.9967779839947172e-05,
|
345 |
+
"loss": 0.475,
|
346 |
+
"step": 43
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 0.12643678160919541,
|
350 |
+
"grad_norm": 0.9125760197639465,
|
351 |
+
"learning_rate": 1.9959227180072216e-05,
|
352 |
+
"loss": 0.4166,
|
353 |
+
"step": 44
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 0.12931034482758622,
|
357 |
+
"grad_norm": 0.8798947930335999,
|
358 |
+
"learning_rate": 1.9949671214996448e-05,
|
359 |
+
"loss": 0.4689,
|
360 |
+
"step": 45
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.13218390804597702,
|
364 |
+
"grad_norm": 0.7233872413635254,
|
365 |
+
"learning_rate": 1.993911290739993e-05,
|
366 |
+
"loss": 0.4416,
|
367 |
+
"step": 46
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.13505747126436782,
|
371 |
+
"grad_norm": 0.7250576615333557,
|
372 |
+
"learning_rate": 1.992755332093999e-05,
|
373 |
+
"loss": 0.3968,
|
374 |
+
"step": 47
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.13793103448275862,
|
378 |
+
"grad_norm": 1.153190016746521,
|
379 |
+
"learning_rate": 1.9914993620144055e-05,
|
380 |
+
"loss": 0.4316,
|
381 |
+
"step": 48
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.14080459770114942,
|
385 |
+
"grad_norm": 0.8170616626739502,
|
386 |
+
"learning_rate": 1.990143507029234e-05,
|
387 |
+
"loss": 0.4398,
|
388 |
+
"step": 49
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.14367816091954022,
|
392 |
+
"grad_norm": 0.8207669854164124,
|
393 |
+
"learning_rate": 1.9886879037290385e-05,
|
394 |
+
"loss": 0.4042,
|
395 |
+
"step": 50
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.14655172413793102,
|
399 |
+
"grad_norm": 0.7794085144996643,
|
400 |
+
"learning_rate": 1.9871326987531453e-05,
|
401 |
+
"loss": 0.3656,
|
402 |
+
"step": 51
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.14942528735632185,
|
406 |
+
"grad_norm": 0.8606981635093689,
|
407 |
+
"learning_rate": 1.98547804877488e-05,
|
408 |
+
"loss": 0.3982,
|
409 |
+
"step": 52
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.15229885057471265,
|
413 |
+
"grad_norm": 0.8829456567764282,
|
414 |
+
"learning_rate": 1.983724120485783e-05,
|
415 |
+
"loss": 0.4397,
|
416 |
+
"step": 53
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.15517241379310345,
|
420 |
+
"grad_norm": 0.6965311765670776,
|
421 |
+
"learning_rate": 1.9818710905788195e-05,
|
422 |
+
"loss": 0.3995,
|
423 |
+
"step": 54
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.15804597701149425,
|
427 |
+
"grad_norm": 1.190281867980957,
|
428 |
+
"learning_rate": 1.9799191457305767e-05,
|
429 |
+
"loss": 0.412,
|
430 |
+
"step": 55
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 0.16091954022988506,
|
434 |
+
"grad_norm": 1.1659263372421265,
|
435 |
+
"learning_rate": 1.977868482582459e-05,
|
436 |
+
"loss": 0.3629,
|
437 |
+
"step": 56
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.16379310344827586,
|
441 |
+
"grad_norm": 0.9981995820999146,
|
442 |
+
"learning_rate": 1.9757193077208776e-05,
|
443 |
+
"loss": 0.4309,
|
444 |
+
"step": 57
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.16666666666666666,
|
448 |
+
"grad_norm": 0.9343249201774597,
|
449 |
+
"learning_rate": 1.9734718376564386e-05,
|
450 |
+
"loss": 0.3732,
|
451 |
+
"step": 58
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.16954022988505746,
|
455 |
+
"grad_norm": 1.1614587306976318,
|
456 |
+
"learning_rate": 1.9711262988021322e-05,
|
457 |
+
"loss": 0.4035,
|
458 |
+
"step": 59
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.1724137931034483,
|
462 |
+
"grad_norm": 1.0494896173477173,
|
463 |
+
"learning_rate": 1.968682927450523e-05,
|
464 |
+
"loss": 0.4108,
|
465 |
+
"step": 60
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.1724137931034483,
|
469 |
+
"eval_accuracy": 0.8044554455445545,
|
470 |
+
"eval_f1": 0.6255924170616114,
|
471 |
+
"eval_loss": 0.40430542826652527,
|
472 |
+
"eval_precision": 0.6285714285714286,
|
473 |
+
"eval_recall": 0.6226415094339622,
|
474 |
+
"eval_runtime": 17.0915,
|
475 |
+
"eval_samples_per_second": 6.202,
|
476 |
+
"eval_steps_per_second": 0.234,
|
477 |
+
"step": 60
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 0.1752873563218391,
|
481 |
+
"grad_norm": 0.9192970991134644,
|
482 |
+
"learning_rate": 1.9661419697499455e-05,
|
483 |
+
"loss": 0.3989,
|
484 |
+
"step": 61
|
485 |
+
},
|
486 |
+
{
|
487 |
+
"epoch": 0.1781609195402299,
|
488 |
+
"grad_norm": 0.999806821346283,
|
489 |
+
"learning_rate": 1.9635036816797072e-05,
|
490 |
+
"loss": 0.4099,
|
491 |
+
"step": 62
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 0.1810344827586207,
|
495 |
+
"grad_norm": 1.073845624923706,
|
496 |
+
"learning_rate": 1.960768329024301e-05,
|
497 |
+
"loss": 0.3862,
|
498 |
+
"step": 63
|
499 |
+
},
|
500 |
+
{
|
501 |
+
"epoch": 0.1839080459770115,
|
502 |
+
"grad_norm": 1.1665489673614502,
|
503 |
+
"learning_rate": 1.957936187346628e-05,
|
504 |
+
"loss": 0.3551,
|
505 |
+
"step": 64
|
506 |
+
},
|
507 |
+
{
|
508 |
+
"epoch": 0.1867816091954023,
|
509 |
+
"grad_norm": 1.0729217529296875,
|
510 |
+
"learning_rate": 1.955007541960241e-05,
|
511 |
+
"loss": 0.4163,
|
512 |
+
"step": 65
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 0.1896551724137931,
|
516 |
+
"grad_norm": 1.194051742553711,
|
517 |
+
"learning_rate": 1.9519826879005964e-05,
|
518 |
+
"loss": 0.4146,
|
519 |
+
"step": 66
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 0.1925287356321839,
|
523 |
+
"grad_norm": 1.5440024137496948,
|
524 |
+
"learning_rate": 1.948861929895336e-05,
|
525 |
+
"loss": 0.4091,
|
526 |
+
"step": 67
|
527 |
+
},
|
528 |
+
{
|
529 |
+
"epoch": 0.19540229885057472,
|
530 |
+
"grad_norm": 1.1414806842803955,
|
531 |
+
"learning_rate": 1.945645582333587e-05,
|
532 |
+
"loss": 0.3836,
|
533 |
+
"step": 68
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 0.19827586206896552,
|
537 |
+
"grad_norm": 1.4426944255828857,
|
538 |
+
"learning_rate": 1.9423339692342885e-05,
|
539 |
+
"loss": 0.3825,
|
540 |
+
"step": 69
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 0.20114942528735633,
|
544 |
+
"grad_norm": 1.102241039276123,
|
545 |
+
"learning_rate": 1.9389274242135528e-05,
|
546 |
+
"loss": 0.355,
|
547 |
+
"step": 70
|
548 |
+
},
|
549 |
+
{
|
550 |
+
"epoch": 0.20402298850574713,
|
551 |
+
"grad_norm": 1.8680758476257324,
|
552 |
+
"learning_rate": 1.9354262904510544e-05,
|
553 |
+
"loss": 0.407,
|
554 |
+
"step": 71
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 0.20689655172413793,
|
558 |
+
"grad_norm": 1.2773621082305908,
|
559 |
+
"learning_rate": 1.9318309206554567e-05,
|
560 |
+
"loss": 0.35,
|
561 |
+
"step": 72
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 0.20977011494252873,
|
565 |
+
"grad_norm": 1.063806414604187,
|
566 |
+
"learning_rate": 1.9281416770288806e-05,
|
567 |
+
"loss": 0.3602,
|
568 |
+
"step": 73
|
569 |
+
},
|
570 |
+
{
|
571 |
+
"epoch": 0.21264367816091953,
|
572 |
+
"grad_norm": 1.1581475734710693,
|
573 |
+
"learning_rate": 1.924358931230418e-05,
|
574 |
+
"loss": 0.345,
|
575 |
+
"step": 74
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 0.21551724137931033,
|
579 |
+
"grad_norm": 1.524601697921753,
|
580 |
+
"learning_rate": 1.920483064338687e-05,
|
581 |
+
"loss": 0.3571,
|
582 |
+
"step": 75
|
583 |
+
},
|
584 |
+
{
|
585 |
+
"epoch": 0.21839080459770116,
|
586 |
+
"grad_norm": 1.7578339576721191,
|
587 |
+
"learning_rate": 1.9165144668134426e-05,
|
588 |
+
"loss": 0.3739,
|
589 |
+
"step": 76
|
590 |
+
},
|
591 |
+
{
|
592 |
+
"epoch": 0.22126436781609196,
|
593 |
+
"grad_norm": 2.7177462577819824,
|
594 |
+
"learning_rate": 1.9124535384562423e-05,
|
595 |
+
"loss": 0.3796,
|
596 |
+
"step": 77
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 0.22413793103448276,
|
600 |
+
"grad_norm": 2.676715850830078,
|
601 |
+
"learning_rate": 1.9083006883701688e-05,
|
602 |
+
"loss": 0.3738,
|
603 |
+
"step": 78
|
604 |
+
},
|
605 |
+
{
|
606 |
+
"epoch": 0.22701149425287356,
|
607 |
+
"grad_norm": 1.5852210521697998,
|
608 |
+
"learning_rate": 1.904056334918617e-05,
|
609 |
+
"loss": 0.3082,
|
610 |
+
"step": 79
|
611 |
+
},
|
612 |
+
{
|
613 |
+
"epoch": 0.22988505747126436,
|
614 |
+
"grad_norm": 1.1979814767837524,
|
615 |
+
"learning_rate": 1.8997209056831462e-05,
|
616 |
+
"loss": 0.3486,
|
617 |
+
"step": 80
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 0.22988505747126436,
|
621 |
+
"eval_accuracy": 0.8366336633663366,
|
622 |
+
"eval_f1": 0.6826923076923077,
|
623 |
+
"eval_loss": 0.37516123056411743,
|
624 |
+
"eval_precision": 0.696078431372549,
|
625 |
+
"eval_recall": 0.6698113207547169,
|
626 |
+
"eval_runtime": 16.3429,
|
627 |
+
"eval_samples_per_second": 6.486,
|
628 |
+
"eval_steps_per_second": 0.245,
|
629 |
+
"step": 80
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 0.23275862068965517,
|
633 |
+
"grad_norm": 1.432535171508789,
|
634 |
+
"learning_rate": 1.8952948374204066e-05,
|
635 |
+
"loss": 0.4083,
|
636 |
+
"step": 81
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 0.23563218390804597,
|
640 |
+
"grad_norm": 1.1334880590438843,
|
641 |
+
"learning_rate": 1.8907785760181392e-05,
|
642 |
+
"loss": 0.3422,
|
643 |
+
"step": 82
|
644 |
+
},
|
645 |
+
{
|
646 |
+
"epoch": 0.23850574712643677,
|
647 |
+
"grad_norm": 1.8673022985458374,
|
648 |
+
"learning_rate": 1.8861725764502557e-05,
|
649 |
+
"loss": 0.3871,
|
650 |
+
"step": 83
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 0.2413793103448276,
|
654 |
+
"grad_norm": 1.3424856662750244,
|
655 |
+
"learning_rate": 1.881477302731006e-05,
|
656 |
+
"loss": 0.3595,
|
657 |
+
"step": 84
|
658 |
+
},
|
659 |
+
{
|
660 |
+
"epoch": 0.2442528735632184,
|
661 |
+
"grad_norm": 1.7336989641189575,
|
662 |
+
"learning_rate": 1.87669322786823e-05,
|
663 |
+
"loss": 0.3578,
|
664 |
+
"step": 85
|
665 |
+
},
|
666 |
+
{
|
667 |
+
"epoch": 0.2471264367816092,
|
668 |
+
"grad_norm": 1.203000545501709,
|
669 |
+
"learning_rate": 1.8718208338157082e-05,
|
670 |
+
"loss": 0.3601,
|
671 |
+
"step": 86
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 0.25,
|
675 |
+
"grad_norm": 1.185094952583313,
|
676 |
+
"learning_rate": 1.866860611424609e-05,
|
677 |
+
"loss": 0.3307,
|
678 |
+
"step": 87
|
679 |
+
},
|
680 |
+
{
|
681 |
+
"epoch": 0.25287356321839083,
|
682 |
+
"grad_norm": 2.083695888519287,
|
683 |
+
"learning_rate": 1.8618130603940386e-05,
|
684 |
+
"loss": 0.3123,
|
685 |
+
"step": 88
|
686 |
+
},
|
687 |
+
{
|
688 |
+
"epoch": 0.2557471264367816,
|
689 |
+
"grad_norm": 1.6941533088684082,
|
690 |
+
"learning_rate": 1.856678689220701e-05,
|
691 |
+
"loss": 0.3294,
|
692 |
+
"step": 89
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 0.25862068965517243,
|
696 |
+
"grad_norm": 2.76645565032959,
|
697 |
+
"learning_rate": 1.851458015147673e-05,
|
698 |
+
"loss": 0.3773,
|
699 |
+
"step": 90
|
700 |
+
},
|
701 |
+
{
|
702 |
+
"epoch": 0.2614942528735632,
|
703 |
+
"grad_norm": 1.9406121969223022,
|
704 |
+
"learning_rate": 1.846151564112294e-05,
|
705 |
+
"loss": 0.309,
|
706 |
+
"step": 91
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 0.26436781609195403,
|
710 |
+
"grad_norm": 1.4476113319396973,
|
711 |
+
"learning_rate": 1.840759870693184e-05,
|
712 |
+
"loss": 0.3724,
|
713 |
+
"step": 92
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 0.2672413793103448,
|
717 |
+
"grad_norm": 1.4683369398117065,
|
718 |
+
"learning_rate": 1.8352834780563888e-05,
|
719 |
+
"loss": 0.3712,
|
720 |
+
"step": 93
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 0.27011494252873564,
|
724 |
+
"grad_norm": 1.5984596014022827,
|
725 |
+
"learning_rate": 1.8297229379006614e-05,
|
726 |
+
"loss": 0.277,
|
727 |
+
"step": 94
|
728 |
+
},
|
729 |
+
{
|
730 |
+
"epoch": 0.27298850574712646,
|
731 |
+
"grad_norm": 1.4368345737457275,
|
732 |
+
"learning_rate": 1.8240788104018824e-05,
|
733 |
+
"loss": 0.337,
|
734 |
+
"step": 95
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 0.27586206896551724,
|
738 |
+
"grad_norm": 3.34250545501709,
|
739 |
+
"learning_rate": 1.8183516641566278e-05,
|
740 |
+
"loss": 0.315,
|
741 |
+
"step": 96
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 0.27873563218390807,
|
745 |
+
"grad_norm": 1.4906728267669678,
|
746 |
+
"learning_rate": 1.8125420761248878e-05,
|
747 |
+
"loss": 0.3778,
|
748 |
+
"step": 97
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 0.28160919540229884,
|
752 |
+
"grad_norm": 1.4306960105895996,
|
753 |
+
"learning_rate": 1.806650631571943e-05,
|
754 |
+
"loss": 0.354,
|
755 |
+
"step": 98
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 0.28448275862068967,
|
759 |
+
"grad_norm": 1.657739281654358,
|
760 |
+
"learning_rate": 1.8006779240094024e-05,
|
761 |
+
"loss": 0.2976,
|
762 |
+
"step": 99
|
763 |
+
},
|
764 |
+
{
|
765 |
+
"epoch": 0.28735632183908044,
|
766 |
+
"grad_norm": 1.2605433464050293,
|
767 |
+
"learning_rate": 1.7946245551354156e-05,
|
768 |
+
"loss": 0.2936,
|
769 |
+
"step": 100
|
770 |
+
},
|
771 |
+
{
|
772 |
+
"epoch": 0.28735632183908044,
|
773 |
+
"eval_accuracy": 0.8465346534653465,
|
774 |
+
"eval_f1": 0.7047619047619048,
|
775 |
+
"eval_loss": 0.36498525738716125,
|
776 |
+
"eval_precision": 0.7115384615384616,
|
777 |
+
"eval_recall": 0.6981132075471698,
|
778 |
+
"eval_runtime": 16.9232,
|
779 |
+
"eval_samples_per_second": 6.264,
|
780 |
+
"eval_steps_per_second": 0.236,
|
781 |
+
"step": 100
|
782 |
+
}
|
783 |
+
],
|
784 |
+
"logging_steps": 1,
|
785 |
+
"max_steps": 348,
|
786 |
+
"num_input_tokens_seen": 0,
|
787 |
+
"num_train_epochs": 1,
|
788 |
+
"save_steps": 100,
|
789 |
+
"stateful_callbacks": {
|
790 |
+
"TrainerControl": {
|
791 |
+
"args": {
|
792 |
+
"should_epoch_stop": false,
|
793 |
+
"should_evaluate": false,
|
794 |
+
"should_log": false,
|
795 |
+
"should_save": true,
|
796 |
+
"should_training_stop": false
|
797 |
+
},
|
798 |
+
"attributes": {}
|
799 |
+
}
|
800 |
+
},
|
801 |
+
"total_flos": 3.1445919459180544e+16,
|
802 |
+
"train_batch_size": 8,
|
803 |
+
"trial_name": null,
|
804 |
+
"trial_params": null
|
805 |
+
}
|