Upload folder using huggingface_hub
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/0_client_model_round10.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/0_client_model_round12.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/0_client_model_round15.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/0_client_model_round17.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/0_client_model_round2.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/0_client_model_round20.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/0_client_model_round5.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/0_trainer_state.json +392 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/1_client_model_round10.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/1_client_model_round12.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/1_client_model_round15.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/1_client_model_round17.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/1_client_model_round2.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/1_client_model_round20.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/1_client_model_round5.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/1_trainer_state.json +392 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/2_client_model_round10.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/2_client_model_round12.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/2_client_model_round15.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/2_client_model_round17.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/2_client_model_round2.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/2_client_model_round20.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/2_client_model_round5.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/2_trainer_state.json +392 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/3_client_model_round10.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/3_client_model_round12.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/3_client_model_round15.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/3_client_model_round17.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/3_client_model_round2.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/3_client_model_round20.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/3_client_model_round5.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/3_trainer_state.json +392 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/4_client_model_round10.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/4_client_model_round12.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/4_client_model_round15.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/4_client_model_round17.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/4_client_model_round2.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/4_client_model_round20.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/4_client_model_round5.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/4_trainer_state.json +392 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/5_client_model_round10.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/5_client_model_round12.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/5_client_model_round15.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/5_client_model_round17.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/5_client_model_round2.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/5_client_model_round20.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/5_client_model_round5.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/5_trainer_state.json +392 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/6_client_model_round10.pth +3 -0
- client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/6_client_model_round12.pth +3 -0
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/0_client_model_round10.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:83f048edeeae0416ad7b7f9f2792337738fc29b8a5b3ea5d0ea8bd65f2aa4a87
|
3 |
+
size 184221358
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/0_client_model_round12.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6f659985e12bae8ddcb3e2085c76d2fab78ebd016d6b6b42328072004da80bef
|
3 |
+
size 184221358
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/0_client_model_round15.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4a37d501618e1daaffd7e7dfe10add752fece1b8fa1816fd33517b70445f92ae
|
3 |
+
size 184221358
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/0_client_model_round17.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c43b66a035428128328ebe2671d6b3c71616a3b2b3918892d9d6da8f2b6a37a2
|
3 |
+
size 184221358
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/0_client_model_round2.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:75e2676be52628a62f3b8f3f6c07704f6d8b7ebe703d9a0d2ed8a9536cc0bdf7
|
3 |
+
size 184220842
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/0_client_model_round20.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d6acb660cb111fc4efdbb99a763250dfe13355017d0368f2751edbc2f602d45e
|
3 |
+
size 184221358
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/0_client_model_round5.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6267c048c9cad023c945c6521f9ec58a43f7a09ac53f002702c4adb63ae098c1
|
3 |
+
size 184220842
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/0_trainer_state.json
ADDED
@@ -0,0 +1,392 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
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": 0.02,
|
13 |
+
"grad_norm": 1.1532974243164062,
|
14 |
+
"learning_rate": 2e-05,
|
15 |
+
"loss": 0.1816,
|
16 |
+
"step": 2
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.04,
|
20 |
+
"grad_norm": 2.5308837890625,
|
21 |
+
"learning_rate": 2e-05,
|
22 |
+
"loss": 0.2659,
|
23 |
+
"step": 4
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.06,
|
27 |
+
"grad_norm": 2.6874430179595947,
|
28 |
+
"learning_rate": 2e-05,
|
29 |
+
"loss": 0.1328,
|
30 |
+
"step": 6
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.08,
|
34 |
+
"grad_norm": 3.168386459350586,
|
35 |
+
"learning_rate": 2e-05,
|
36 |
+
"loss": 0.4946,
|
37 |
+
"step": 8
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.1,
|
41 |
+
"grad_norm": 0.49451756477355957,
|
42 |
+
"learning_rate": 2e-05,
|
43 |
+
"loss": 0.0704,
|
44 |
+
"step": 10
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.12,
|
48 |
+
"grad_norm": 2.3002219200134277,
|
49 |
+
"learning_rate": 2e-05,
|
50 |
+
"loss": 0.134,
|
51 |
+
"step": 12
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.14,
|
55 |
+
"grad_norm": 2.6663122177124023,
|
56 |
+
"learning_rate": 2e-05,
|
57 |
+
"loss": 0.2808,
|
58 |
+
"step": 14
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.16,
|
62 |
+
"grad_norm": 3.072387933731079,
|
63 |
+
"learning_rate": 2e-05,
|
64 |
+
"loss": 0.2126,
|
65 |
+
"step": 16
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.18,
|
69 |
+
"grad_norm": 9.23437213897705,
|
70 |
+
"learning_rate": 2e-05,
|
71 |
+
"loss": 0.2095,
|
72 |
+
"step": 18
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.2,
|
76 |
+
"grad_norm": 1.610624074935913,
|
77 |
+
"learning_rate": 2e-05,
|
78 |
+
"loss": 0.189,
|
79 |
+
"step": 20
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.22,
|
83 |
+
"grad_norm": 2.139845371246338,
|
84 |
+
"learning_rate": 2e-05,
|
85 |
+
"loss": 0.1157,
|
86 |
+
"step": 22
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.24,
|
90 |
+
"grad_norm": 1.2783198356628418,
|
91 |
+
"learning_rate": 2e-05,
|
92 |
+
"loss": 0.1091,
|
93 |
+
"step": 24
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.26,
|
97 |
+
"grad_norm": 2.6409637928009033,
|
98 |
+
"learning_rate": 2e-05,
|
99 |
+
"loss": 0.3108,
|
100 |
+
"step": 26
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.28,
|
104 |
+
"grad_norm": 2.5853898525238037,
|
105 |
+
"learning_rate": 2e-05,
|
106 |
+
"loss": 0.1641,
|
107 |
+
"step": 28
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.3,
|
111 |
+
"grad_norm": 4.854699611663818,
|
112 |
+
"learning_rate": 2e-05,
|
113 |
+
"loss": 0.335,
|
114 |
+
"step": 30
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.32,
|
118 |
+
"grad_norm": 2.4038703441619873,
|
119 |
+
"learning_rate": 2e-05,
|
120 |
+
"loss": 0.3679,
|
121 |
+
"step": 32
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.34,
|
125 |
+
"grad_norm": 1.0609790086746216,
|
126 |
+
"learning_rate": 2e-05,
|
127 |
+
"loss": 0.1128,
|
128 |
+
"step": 34
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.36,
|
132 |
+
"grad_norm": 6.019529342651367,
|
133 |
+
"learning_rate": 2e-05,
|
134 |
+
"loss": 0.377,
|
135 |
+
"step": 36
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.38,
|
139 |
+
"grad_norm": 5.390917778015137,
|
140 |
+
"learning_rate": 2e-05,
|
141 |
+
"loss": 0.5391,
|
142 |
+
"step": 38
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.4,
|
146 |
+
"grad_norm": 3.0058133602142334,
|
147 |
+
"learning_rate": 2e-05,
|
148 |
+
"loss": 0.3828,
|
149 |
+
"step": 40
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.42,
|
153 |
+
"grad_norm": 2.898128032684326,
|
154 |
+
"learning_rate": 2e-05,
|
155 |
+
"loss": 0.2788,
|
156 |
+
"step": 42
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.44,
|
160 |
+
"grad_norm": 8.558566093444824,
|
161 |
+
"learning_rate": 2e-05,
|
162 |
+
"loss": 0.2646,
|
163 |
+
"step": 44
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.46,
|
167 |
+
"grad_norm": 4.090677738189697,
|
168 |
+
"learning_rate": 2e-05,
|
169 |
+
"loss": 0.3008,
|
170 |
+
"step": 46
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.48,
|
174 |
+
"grad_norm": 1.0819746255874634,
|
175 |
+
"learning_rate": 2e-05,
|
176 |
+
"loss": 0.1235,
|
177 |
+
"step": 48
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.5,
|
181 |
+
"grad_norm": 1.556148648262024,
|
182 |
+
"learning_rate": 2e-05,
|
183 |
+
"loss": 0.2378,
|
184 |
+
"step": 50
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.52,
|
188 |
+
"grad_norm": 1.5604588985443115,
|
189 |
+
"learning_rate": 2e-05,
|
190 |
+
"loss": 0.1197,
|
191 |
+
"step": 52
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.54,
|
195 |
+
"grad_norm": 6.361417293548584,
|
196 |
+
"learning_rate": 2e-05,
|
197 |
+
"loss": 0.5151,
|
198 |
+
"step": 54
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.56,
|
202 |
+
"grad_norm": 8.687939643859863,
|
203 |
+
"learning_rate": 2e-05,
|
204 |
+
"loss": 0.4375,
|
205 |
+
"step": 56
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.58,
|
209 |
+
"grad_norm": 4.642131805419922,
|
210 |
+
"learning_rate": 2e-05,
|
211 |
+
"loss": 0.1611,
|
212 |
+
"step": 58
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.6,
|
216 |
+
"grad_norm": 1.859739899635315,
|
217 |
+
"learning_rate": 2e-05,
|
218 |
+
"loss": 0.145,
|
219 |
+
"step": 60
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.62,
|
223 |
+
"grad_norm": 3.98333740234375,
|
224 |
+
"learning_rate": 2e-05,
|
225 |
+
"loss": 0.2485,
|
226 |
+
"step": 62
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.64,
|
230 |
+
"grad_norm": 1.8972673416137695,
|
231 |
+
"learning_rate": 2e-05,
|
232 |
+
"loss": 0.3062,
|
233 |
+
"step": 64
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.66,
|
237 |
+
"grad_norm": 1.5855597257614136,
|
238 |
+
"learning_rate": 2e-05,
|
239 |
+
"loss": 0.0764,
|
240 |
+
"step": 66
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.68,
|
244 |
+
"grad_norm": 0.5774495601654053,
|
245 |
+
"learning_rate": 2e-05,
|
246 |
+
"loss": 0.2243,
|
247 |
+
"step": 68
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.7,
|
251 |
+
"grad_norm": 3.549870491027832,
|
252 |
+
"learning_rate": 2e-05,
|
253 |
+
"loss": 0.1746,
|
254 |
+
"step": 70
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.72,
|
258 |
+
"grad_norm": 2.2936458587646484,
|
259 |
+
"learning_rate": 2e-05,
|
260 |
+
"loss": 0.1777,
|
261 |
+
"step": 72
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.74,
|
265 |
+
"grad_norm": 2.4894068241119385,
|
266 |
+
"learning_rate": 2e-05,
|
267 |
+
"loss": 0.2368,
|
268 |
+
"step": 74
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.76,
|
272 |
+
"grad_norm": 1.257445216178894,
|
273 |
+
"learning_rate": 2e-05,
|
274 |
+
"loss": 0.2021,
|
275 |
+
"step": 76
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.78,
|
279 |
+
"grad_norm": 1.4454576969146729,
|
280 |
+
"learning_rate": 2e-05,
|
281 |
+
"loss": 0.2573,
|
282 |
+
"step": 78
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.8,
|
286 |
+
"grad_norm": 1.781729817390442,
|
287 |
+
"learning_rate": 2e-05,
|
288 |
+
"loss": 0.3301,
|
289 |
+
"step": 80
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.82,
|
293 |
+
"grad_norm": 1.1323760747909546,
|
294 |
+
"learning_rate": 2e-05,
|
295 |
+
"loss": 0.2344,
|
296 |
+
"step": 82
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.84,
|
300 |
+
"grad_norm": 1.8015055656433105,
|
301 |
+
"learning_rate": 2e-05,
|
302 |
+
"loss": 0.2842,
|
303 |
+
"step": 84
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.86,
|
307 |
+
"grad_norm": 3.7761592864990234,
|
308 |
+
"learning_rate": 2e-05,
|
309 |
+
"loss": 0.2563,
|
310 |
+
"step": 86
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.88,
|
314 |
+
"grad_norm": 4.44229793548584,
|
315 |
+
"learning_rate": 2e-05,
|
316 |
+
"loss": 0.3269,
|
317 |
+
"step": 88
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.9,
|
321 |
+
"grad_norm": 1.4079943895339966,
|
322 |
+
"learning_rate": 2e-05,
|
323 |
+
"loss": 0.0944,
|
324 |
+
"step": 90
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.92,
|
328 |
+
"grad_norm": 1.248412013053894,
|
329 |
+
"learning_rate": 2e-05,
|
330 |
+
"loss": 0.0981,
|
331 |
+
"step": 92
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.94,
|
335 |
+
"grad_norm": 1.023442029953003,
|
336 |
+
"learning_rate": 2e-05,
|
337 |
+
"loss": 0.2021,
|
338 |
+
"step": 94
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.96,
|
342 |
+
"grad_norm": 1.4544942378997803,
|
343 |
+
"learning_rate": 2e-05,
|
344 |
+
"loss": 0.1582,
|
345 |
+
"step": 96
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.98,
|
349 |
+
"grad_norm": 4.772751808166504,
|
350 |
+
"learning_rate": 2e-05,
|
351 |
+
"loss": 0.3203,
|
352 |
+
"step": 98
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 1.0,
|
356 |
+
"grad_norm": 3.914933204650879,
|
357 |
+
"learning_rate": 2e-05,
|
358 |
+
"loss": 0.2764,
|
359 |
+
"step": 100
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 1.0,
|
363 |
+
"step": 100,
|
364 |
+
"total_flos": 7701031911686144.0,
|
365 |
+
"train_loss": 0.2410992431640625,
|
366 |
+
"train_runtime": 131.5542,
|
367 |
+
"train_samples_per_second": 3.041,
|
368 |
+
"train_steps_per_second": 0.76
|
369 |
+
}
|
370 |
+
],
|
371 |
+
"logging_steps": 2,
|
372 |
+
"max_steps": 100,
|
373 |
+
"num_input_tokens_seen": 0,
|
374 |
+
"num_train_epochs": 1,
|
375 |
+
"save_steps": 500,
|
376 |
+
"stateful_callbacks": {
|
377 |
+
"TrainerControl": {
|
378 |
+
"args": {
|
379 |
+
"should_epoch_stop": false,
|
380 |
+
"should_evaluate": false,
|
381 |
+
"should_log": false,
|
382 |
+
"should_save": false,
|
383 |
+
"should_training_stop": false
|
384 |
+
},
|
385 |
+
"attributes": {}
|
386 |
+
}
|
387 |
+
},
|
388 |
+
"total_flos": 7701031911686144.0,
|
389 |
+
"train_batch_size": 4,
|
390 |
+
"trial_name": null,
|
391 |
+
"trial_params": null
|
392 |
+
}
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/1_client_model_round10.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:862e841f586a1c676f224be608aa692b886b7366e91b75fd7f3f323a8a0f91c5
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/1_client_model_round12.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a47f67299db2d5c43a298b51f3e39d377dc18aef7748c10de43712b98a930f87
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/1_client_model_round15.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d8f2cbfd611d51913c4b60f603ee754be14e2bc54d9961b19eedf6ff2a5b1016
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/1_client_model_round17.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d493f9638fa837605913c7d31467443088dcf2e02f2a3e11a71f91a35e94cb5f
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/1_client_model_round2.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ebd09122dbd315f1ebe87e6a37f8f6dc074b417dd38097de08d440ec9d3a2e2d
|
3 |
+
size 395786922
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/1_client_model_round20.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b81471f5290c52a449ab14b0b65bd543c3895eaa8f69746d8daf31ea97941630
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/1_client_model_round5.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:20d518b951cd3a3a93775687e6f0fff685850372c1b9c8012bc70dd66bdfc65e
|
3 |
+
size 395786922
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/1_trainer_state.json
ADDED
@@ -0,0 +1,392 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
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": 0.02,
|
13 |
+
"grad_norm": 4.795502185821533,
|
14 |
+
"learning_rate": 2e-05,
|
15 |
+
"loss": 0.4502,
|
16 |
+
"step": 2
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.04,
|
20 |
+
"grad_norm": 7.123850345611572,
|
21 |
+
"learning_rate": 2e-05,
|
22 |
+
"loss": 0.2979,
|
23 |
+
"step": 4
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.06,
|
27 |
+
"grad_norm": 2.156874895095825,
|
28 |
+
"learning_rate": 2e-05,
|
29 |
+
"loss": 0.4004,
|
30 |
+
"step": 6
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.08,
|
34 |
+
"grad_norm": 1.2159154415130615,
|
35 |
+
"learning_rate": 2e-05,
|
36 |
+
"loss": 0.2393,
|
37 |
+
"step": 8
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.1,
|
41 |
+
"grad_norm": 1.0778675079345703,
|
42 |
+
"learning_rate": 2e-05,
|
43 |
+
"loss": 0.2959,
|
44 |
+
"step": 10
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.12,
|
48 |
+
"grad_norm": 1.9174330234527588,
|
49 |
+
"learning_rate": 2e-05,
|
50 |
+
"loss": 0.23,
|
51 |
+
"step": 12
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.14,
|
55 |
+
"grad_norm": 3.9123361110687256,
|
56 |
+
"learning_rate": 2e-05,
|
57 |
+
"loss": 0.2988,
|
58 |
+
"step": 14
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.16,
|
62 |
+
"grad_norm": 1.2561991214752197,
|
63 |
+
"learning_rate": 2e-05,
|
64 |
+
"loss": 0.2856,
|
65 |
+
"step": 16
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.18,
|
69 |
+
"grad_norm": 1.6939635276794434,
|
70 |
+
"learning_rate": 2e-05,
|
71 |
+
"loss": 0.2378,
|
72 |
+
"step": 18
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.2,
|
76 |
+
"grad_norm": 1.499593734741211,
|
77 |
+
"learning_rate": 2e-05,
|
78 |
+
"loss": 0.2441,
|
79 |
+
"step": 20
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.22,
|
83 |
+
"grad_norm": 1.4911894798278809,
|
84 |
+
"learning_rate": 2e-05,
|
85 |
+
"loss": 0.2573,
|
86 |
+
"step": 22
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.24,
|
90 |
+
"grad_norm": 1.8584893941879272,
|
91 |
+
"learning_rate": 2e-05,
|
92 |
+
"loss": 0.2583,
|
93 |
+
"step": 24
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.26,
|
97 |
+
"grad_norm": 0.9822528958320618,
|
98 |
+
"learning_rate": 2e-05,
|
99 |
+
"loss": 0.1914,
|
100 |
+
"step": 26
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.28,
|
104 |
+
"grad_norm": 2.0371787548065186,
|
105 |
+
"learning_rate": 2e-05,
|
106 |
+
"loss": 0.2124,
|
107 |
+
"step": 28
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.3,
|
111 |
+
"grad_norm": 1.5427534580230713,
|
112 |
+
"learning_rate": 2e-05,
|
113 |
+
"loss": 0.3652,
|
114 |
+
"step": 30
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.32,
|
118 |
+
"grad_norm": 3.590794086456299,
|
119 |
+
"learning_rate": 2e-05,
|
120 |
+
"loss": 0.3633,
|
121 |
+
"step": 32
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.34,
|
125 |
+
"grad_norm": 1.0113798379898071,
|
126 |
+
"learning_rate": 2e-05,
|
127 |
+
"loss": 0.2529,
|
128 |
+
"step": 34
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.36,
|
132 |
+
"grad_norm": 3.576972007751465,
|
133 |
+
"learning_rate": 2e-05,
|
134 |
+
"loss": 0.3379,
|
135 |
+
"step": 36
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.38,
|
139 |
+
"grad_norm": 1.8894009590148926,
|
140 |
+
"learning_rate": 2e-05,
|
141 |
+
"loss": 0.1487,
|
142 |
+
"step": 38
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.4,
|
146 |
+
"grad_norm": 1.6677130460739136,
|
147 |
+
"learning_rate": 2e-05,
|
148 |
+
"loss": 0.2422,
|
149 |
+
"step": 40
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.42,
|
153 |
+
"grad_norm": 1.960363507270813,
|
154 |
+
"learning_rate": 2e-05,
|
155 |
+
"loss": 0.23,
|
156 |
+
"step": 42
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.44,
|
160 |
+
"grad_norm": 1.1358486413955688,
|
161 |
+
"learning_rate": 2e-05,
|
162 |
+
"loss": 0.2861,
|
163 |
+
"step": 44
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.46,
|
167 |
+
"grad_norm": 1.0046958923339844,
|
168 |
+
"learning_rate": 2e-05,
|
169 |
+
"loss": 0.2102,
|
170 |
+
"step": 46
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.48,
|
174 |
+
"grad_norm": 1.3224812746047974,
|
175 |
+
"learning_rate": 2e-05,
|
176 |
+
"loss": 0.1543,
|
177 |
+
"step": 48
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.5,
|
181 |
+
"grad_norm": 2.1381001472473145,
|
182 |
+
"learning_rate": 2e-05,
|
183 |
+
"loss": 0.291,
|
184 |
+
"step": 50
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.52,
|
188 |
+
"grad_norm": 3.2688443660736084,
|
189 |
+
"learning_rate": 2e-05,
|
190 |
+
"loss": 0.418,
|
191 |
+
"step": 52
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.54,
|
195 |
+
"grad_norm": 2.68595027923584,
|
196 |
+
"learning_rate": 2e-05,
|
197 |
+
"loss": 0.3213,
|
198 |
+
"step": 54
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.56,
|
202 |
+
"grad_norm": 1.9931286573410034,
|
203 |
+
"learning_rate": 2e-05,
|
204 |
+
"loss": 0.1438,
|
205 |
+
"step": 56
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.58,
|
209 |
+
"grad_norm": 1.6896065473556519,
|
210 |
+
"learning_rate": 2e-05,
|
211 |
+
"loss": 0.1997,
|
212 |
+
"step": 58
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.6,
|
216 |
+
"grad_norm": 2.1000540256500244,
|
217 |
+
"learning_rate": 2e-05,
|
218 |
+
"loss": 0.2114,
|
219 |
+
"step": 60
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.62,
|
223 |
+
"grad_norm": 2.9265353679656982,
|
224 |
+
"learning_rate": 2e-05,
|
225 |
+
"loss": 0.3818,
|
226 |
+
"step": 62
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.64,
|
230 |
+
"grad_norm": 1.8865680694580078,
|
231 |
+
"learning_rate": 2e-05,
|
232 |
+
"loss": 0.1777,
|
233 |
+
"step": 64
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.66,
|
237 |
+
"grad_norm": 0.9666782021522522,
|
238 |
+
"learning_rate": 2e-05,
|
239 |
+
"loss": 0.3721,
|
240 |
+
"step": 66
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.68,
|
244 |
+
"grad_norm": 2.9722671508789062,
|
245 |
+
"learning_rate": 2e-05,
|
246 |
+
"loss": 0.3564,
|
247 |
+
"step": 68
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.7,
|
251 |
+
"grad_norm": 1.222570538520813,
|
252 |
+
"learning_rate": 2e-05,
|
253 |
+
"loss": 0.2876,
|
254 |
+
"step": 70
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.72,
|
258 |
+
"grad_norm": 2.2904052734375,
|
259 |
+
"learning_rate": 2e-05,
|
260 |
+
"loss": 0.2578,
|
261 |
+
"step": 72
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.74,
|
265 |
+
"grad_norm": 0.8825144171714783,
|
266 |
+
"learning_rate": 2e-05,
|
267 |
+
"loss": 0.1953,
|
268 |
+
"step": 74
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.76,
|
272 |
+
"grad_norm": 2.4329357147216797,
|
273 |
+
"learning_rate": 2e-05,
|
274 |
+
"loss": 0.2642,
|
275 |
+
"step": 76
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.78,
|
279 |
+
"grad_norm": 2.1460537910461426,
|
280 |
+
"learning_rate": 2e-05,
|
281 |
+
"loss": 0.2012,
|
282 |
+
"step": 78
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.8,
|
286 |
+
"grad_norm": 5.055041790008545,
|
287 |
+
"learning_rate": 2e-05,
|
288 |
+
"loss": 0.375,
|
289 |
+
"step": 80
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.82,
|
293 |
+
"grad_norm": 1.1837732791900635,
|
294 |
+
"learning_rate": 2e-05,
|
295 |
+
"loss": 0.1755,
|
296 |
+
"step": 82
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.84,
|
300 |
+
"grad_norm": 0.5480858683586121,
|
301 |
+
"learning_rate": 2e-05,
|
302 |
+
"loss": 0.2344,
|
303 |
+
"step": 84
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.86,
|
307 |
+
"grad_norm": 2.649846076965332,
|
308 |
+
"learning_rate": 2e-05,
|
309 |
+
"loss": 0.2607,
|
310 |
+
"step": 86
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.88,
|
314 |
+
"grad_norm": 2.002662420272827,
|
315 |
+
"learning_rate": 2e-05,
|
316 |
+
"loss": 0.293,
|
317 |
+
"step": 88
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.9,
|
321 |
+
"grad_norm": 1.9865012168884277,
|
322 |
+
"learning_rate": 2e-05,
|
323 |
+
"loss": 0.2837,
|
324 |
+
"step": 90
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.92,
|
328 |
+
"grad_norm": 1.9601739645004272,
|
329 |
+
"learning_rate": 2e-05,
|
330 |
+
"loss": 0.229,
|
331 |
+
"step": 92
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.94,
|
335 |
+
"grad_norm": 3.8378078937530518,
|
336 |
+
"learning_rate": 2e-05,
|
337 |
+
"loss": 0.2446,
|
338 |
+
"step": 94
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.96,
|
342 |
+
"grad_norm": 2.87432599067688,
|
343 |
+
"learning_rate": 2e-05,
|
344 |
+
"loss": 0.1914,
|
345 |
+
"step": 96
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.98,
|
349 |
+
"grad_norm": 1.0967655181884766,
|
350 |
+
"learning_rate": 2e-05,
|
351 |
+
"loss": 0.2163,
|
352 |
+
"step": 98
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 1.0,
|
356 |
+
"grad_norm": 2.495866298675537,
|
357 |
+
"learning_rate": 2e-05,
|
358 |
+
"loss": 0.4033,
|
359 |
+
"step": 100
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 1.0,
|
363 |
+
"step": 100,
|
364 |
+
"total_flos": 1.831939061317632e+16,
|
365 |
+
"train_loss": 0.26953125,
|
366 |
+
"train_runtime": 299.3537,
|
367 |
+
"train_samples_per_second": 1.336,
|
368 |
+
"train_steps_per_second": 0.334
|
369 |
+
}
|
370 |
+
],
|
371 |
+
"logging_steps": 2,
|
372 |
+
"max_steps": 100,
|
373 |
+
"num_input_tokens_seen": 0,
|
374 |
+
"num_train_epochs": 1,
|
375 |
+
"save_steps": 500,
|
376 |
+
"stateful_callbacks": {
|
377 |
+
"TrainerControl": {
|
378 |
+
"args": {
|
379 |
+
"should_epoch_stop": false,
|
380 |
+
"should_evaluate": false,
|
381 |
+
"should_log": false,
|
382 |
+
"should_save": false,
|
383 |
+
"should_training_stop": false
|
384 |
+
},
|
385 |
+
"attributes": {}
|
386 |
+
}
|
387 |
+
},
|
388 |
+
"total_flos": 1.831939061317632e+16,
|
389 |
+
"train_batch_size": 4,
|
390 |
+
"trial_name": null,
|
391 |
+
"trial_params": null
|
392 |
+
}
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/2_client_model_round10.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6800d8fcd8a44b1c01a78c6c6890ecc2956b614b6ba920f4bb87a5f8d8e4c748
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/2_client_model_round12.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:88e5a8ce7bc39561a501c60630ae8dafac8338484aacee6b5125323fb9ef9e63
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/2_client_model_round15.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c19634f1d59ccc9db509bfc651785d9d701b9e1214b28194d1e32130c68942e9
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/2_client_model_round17.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6e5e95996c2f65cbe0260fb0a724fbca36c8a324260c923816549abc2b8066a1
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/2_client_model_round2.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:610a9e886ebc23a684c2556c9c2b8df5aa416eb9e371df693511c0b9decd2ac7
|
3 |
+
size 395786922
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/2_client_model_round20.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d0d9e44c9d7387e5da58daa1b6f726d227c6b35aa9205ac6d9356d4368ac9c43
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/2_client_model_round5.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c5381594d86e32d600599a4a380d04480915dab7c210a74a9324f1f21f1d8602
|
3 |
+
size 395786922
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/2_trainer_state.json
ADDED
@@ -0,0 +1,392 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
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": 0.02,
|
13 |
+
"grad_norm": 6.500993728637695,
|
14 |
+
"learning_rate": 2e-05,
|
15 |
+
"loss": 0.2593,
|
16 |
+
"step": 2
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.04,
|
20 |
+
"grad_norm": 1.6622408628463745,
|
21 |
+
"learning_rate": 2e-05,
|
22 |
+
"loss": 0.1311,
|
23 |
+
"step": 4
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.06,
|
27 |
+
"grad_norm": 3.778311252593994,
|
28 |
+
"learning_rate": 2e-05,
|
29 |
+
"loss": 0.1947,
|
30 |
+
"step": 6
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.08,
|
34 |
+
"grad_norm": 4.542095184326172,
|
35 |
+
"learning_rate": 2e-05,
|
36 |
+
"loss": 0.1447,
|
37 |
+
"step": 8
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.1,
|
41 |
+
"grad_norm": 5.3226494789123535,
|
42 |
+
"learning_rate": 2e-05,
|
43 |
+
"loss": 0.4307,
|
44 |
+
"step": 10
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.12,
|
48 |
+
"grad_norm": 2.877063751220703,
|
49 |
+
"learning_rate": 2e-05,
|
50 |
+
"loss": 0.2231,
|
51 |
+
"step": 12
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.14,
|
55 |
+
"grad_norm": 5.632908821105957,
|
56 |
+
"learning_rate": 2e-05,
|
57 |
+
"loss": 0.271,
|
58 |
+
"step": 14
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.16,
|
62 |
+
"grad_norm": 1.6585263013839722,
|
63 |
+
"learning_rate": 2e-05,
|
64 |
+
"loss": 0.2805,
|
65 |
+
"step": 16
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.18,
|
69 |
+
"grad_norm": 2.8262925148010254,
|
70 |
+
"learning_rate": 2e-05,
|
71 |
+
"loss": 0.2764,
|
72 |
+
"step": 18
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.2,
|
76 |
+
"grad_norm": 2.506618022918701,
|
77 |
+
"learning_rate": 2e-05,
|
78 |
+
"loss": 0.2051,
|
79 |
+
"step": 20
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.22,
|
83 |
+
"grad_norm": 2.5826640129089355,
|
84 |
+
"learning_rate": 2e-05,
|
85 |
+
"loss": 0.2397,
|
86 |
+
"step": 22
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.24,
|
90 |
+
"grad_norm": 1.7919895648956299,
|
91 |
+
"learning_rate": 2e-05,
|
92 |
+
"loss": 0.3066,
|
93 |
+
"step": 24
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.26,
|
97 |
+
"grad_norm": 2.0978145599365234,
|
98 |
+
"learning_rate": 2e-05,
|
99 |
+
"loss": 0.1675,
|
100 |
+
"step": 26
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.28,
|
104 |
+
"grad_norm": 4.73683500289917,
|
105 |
+
"learning_rate": 2e-05,
|
106 |
+
"loss": 0.2996,
|
107 |
+
"step": 28
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.3,
|
111 |
+
"grad_norm": 1.0620052814483643,
|
112 |
+
"learning_rate": 2e-05,
|
113 |
+
"loss": 0.1465,
|
114 |
+
"step": 30
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.32,
|
118 |
+
"grad_norm": 2.346411943435669,
|
119 |
+
"learning_rate": 2e-05,
|
120 |
+
"loss": 0.1645,
|
121 |
+
"step": 32
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.34,
|
125 |
+
"grad_norm": 7.4767560958862305,
|
126 |
+
"learning_rate": 2e-05,
|
127 |
+
"loss": 0.2744,
|
128 |
+
"step": 34
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.36,
|
132 |
+
"grad_norm": 7.579076766967773,
|
133 |
+
"learning_rate": 2e-05,
|
134 |
+
"loss": 0.2686,
|
135 |
+
"step": 36
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.38,
|
139 |
+
"grad_norm": 1.5238951444625854,
|
140 |
+
"learning_rate": 2e-05,
|
141 |
+
"loss": 0.1636,
|
142 |
+
"step": 38
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.4,
|
146 |
+
"grad_norm": 2.760282039642334,
|
147 |
+
"learning_rate": 2e-05,
|
148 |
+
"loss": 0.1401,
|
149 |
+
"step": 40
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.42,
|
153 |
+
"grad_norm": 5.585556983947754,
|
154 |
+
"learning_rate": 2e-05,
|
155 |
+
"loss": 0.2896,
|
156 |
+
"step": 42
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.44,
|
160 |
+
"grad_norm": 1.5539571046829224,
|
161 |
+
"learning_rate": 2e-05,
|
162 |
+
"loss": 0.093,
|
163 |
+
"step": 44
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.46,
|
167 |
+
"grad_norm": 1.4564839601516724,
|
168 |
+
"learning_rate": 2e-05,
|
169 |
+
"loss": 0.2954,
|
170 |
+
"step": 46
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.48,
|
174 |
+
"grad_norm": 1.2913273572921753,
|
175 |
+
"learning_rate": 2e-05,
|
176 |
+
"loss": 0.0901,
|
177 |
+
"step": 48
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.5,
|
181 |
+
"grad_norm": 10.594887733459473,
|
182 |
+
"learning_rate": 2e-05,
|
183 |
+
"loss": 0.4326,
|
184 |
+
"step": 50
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.52,
|
188 |
+
"grad_norm": 4.127068519592285,
|
189 |
+
"learning_rate": 2e-05,
|
190 |
+
"loss": 0.2397,
|
191 |
+
"step": 52
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.54,
|
195 |
+
"grad_norm": 4.24247407913208,
|
196 |
+
"learning_rate": 2e-05,
|
197 |
+
"loss": 0.2363,
|
198 |
+
"step": 54
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.56,
|
202 |
+
"grad_norm": 0.8992795944213867,
|
203 |
+
"learning_rate": 2e-05,
|
204 |
+
"loss": 0.1558,
|
205 |
+
"step": 56
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.58,
|
209 |
+
"grad_norm": 2.954968214035034,
|
210 |
+
"learning_rate": 2e-05,
|
211 |
+
"loss": 0.1824,
|
212 |
+
"step": 58
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.6,
|
216 |
+
"grad_norm": 2.740546226501465,
|
217 |
+
"learning_rate": 2e-05,
|
218 |
+
"loss": 0.2222,
|
219 |
+
"step": 60
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.62,
|
223 |
+
"grad_norm": 17.958728790283203,
|
224 |
+
"learning_rate": 2e-05,
|
225 |
+
"loss": 0.499,
|
226 |
+
"step": 62
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.64,
|
230 |
+
"grad_norm": 1.034136414527893,
|
231 |
+
"learning_rate": 2e-05,
|
232 |
+
"loss": 0.1609,
|
233 |
+
"step": 64
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.66,
|
237 |
+
"grad_norm": 2.5941245555877686,
|
238 |
+
"learning_rate": 2e-05,
|
239 |
+
"loss": 0.2295,
|
240 |
+
"step": 66
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.68,
|
244 |
+
"grad_norm": 4.146021366119385,
|
245 |
+
"learning_rate": 2e-05,
|
246 |
+
"loss": 0.2334,
|
247 |
+
"step": 68
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.7,
|
251 |
+
"grad_norm": 3.400031566619873,
|
252 |
+
"learning_rate": 2e-05,
|
253 |
+
"loss": 0.2266,
|
254 |
+
"step": 70
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.72,
|
258 |
+
"grad_norm": 2.742607593536377,
|
259 |
+
"learning_rate": 2e-05,
|
260 |
+
"loss": 0.147,
|
261 |
+
"step": 72
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.74,
|
265 |
+
"grad_norm": 3.9525485038757324,
|
266 |
+
"learning_rate": 2e-05,
|
267 |
+
"loss": 0.3354,
|
268 |
+
"step": 74
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.76,
|
272 |
+
"grad_norm": 4.062930583953857,
|
273 |
+
"learning_rate": 2e-05,
|
274 |
+
"loss": 0.416,
|
275 |
+
"step": 76
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.78,
|
279 |
+
"grad_norm": 1.0584497451782227,
|
280 |
+
"learning_rate": 2e-05,
|
281 |
+
"loss": 0.0496,
|
282 |
+
"step": 78
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.8,
|
286 |
+
"grad_norm": 1.931713581085205,
|
287 |
+
"learning_rate": 2e-05,
|
288 |
+
"loss": 0.1848,
|
289 |
+
"step": 80
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.82,
|
293 |
+
"grad_norm": 6.437009811401367,
|
294 |
+
"learning_rate": 2e-05,
|
295 |
+
"loss": 0.2666,
|
296 |
+
"step": 82
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.84,
|
300 |
+
"grad_norm": 1.580648422241211,
|
301 |
+
"learning_rate": 2e-05,
|
302 |
+
"loss": 0.1194,
|
303 |
+
"step": 84
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.86,
|
307 |
+
"grad_norm": 2.208071708679199,
|
308 |
+
"learning_rate": 2e-05,
|
309 |
+
"loss": 0.1509,
|
310 |
+
"step": 86
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.88,
|
314 |
+
"grad_norm": 3.544546365737915,
|
315 |
+
"learning_rate": 2e-05,
|
316 |
+
"loss": 0.2412,
|
317 |
+
"step": 88
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.9,
|
321 |
+
"grad_norm": 1.1570082902908325,
|
322 |
+
"learning_rate": 2e-05,
|
323 |
+
"loss": 0.1213,
|
324 |
+
"step": 90
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.92,
|
328 |
+
"grad_norm": 2.188741445541382,
|
329 |
+
"learning_rate": 2e-05,
|
330 |
+
"loss": 0.1851,
|
331 |
+
"step": 92
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.94,
|
335 |
+
"grad_norm": 6.331286907196045,
|
336 |
+
"learning_rate": 2e-05,
|
337 |
+
"loss": 0.4678,
|
338 |
+
"step": 94
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.96,
|
342 |
+
"grad_norm": 6.169668197631836,
|
343 |
+
"learning_rate": 2e-05,
|
344 |
+
"loss": 0.4053,
|
345 |
+
"step": 96
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.98,
|
349 |
+
"grad_norm": 6.514842987060547,
|
350 |
+
"learning_rate": 2e-05,
|
351 |
+
"loss": 0.3701,
|
352 |
+
"step": 98
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 1.0,
|
356 |
+
"grad_norm": 5.544450283050537,
|
357 |
+
"learning_rate": 2e-05,
|
358 |
+
"loss": 0.3462,
|
359 |
+
"step": 100
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 1.0,
|
363 |
+
"step": 100,
|
364 |
+
"total_flos": 2.5000877441941504e+16,
|
365 |
+
"train_loss": 0.2396124267578125,
|
366 |
+
"train_runtime": 418.5446,
|
367 |
+
"train_samples_per_second": 0.956,
|
368 |
+
"train_steps_per_second": 0.239
|
369 |
+
}
|
370 |
+
],
|
371 |
+
"logging_steps": 2,
|
372 |
+
"max_steps": 100,
|
373 |
+
"num_input_tokens_seen": 0,
|
374 |
+
"num_train_epochs": 1,
|
375 |
+
"save_steps": 500,
|
376 |
+
"stateful_callbacks": {
|
377 |
+
"TrainerControl": {
|
378 |
+
"args": {
|
379 |
+
"should_epoch_stop": false,
|
380 |
+
"should_evaluate": false,
|
381 |
+
"should_log": false,
|
382 |
+
"should_save": false,
|
383 |
+
"should_training_stop": false
|
384 |
+
},
|
385 |
+
"attributes": {}
|
386 |
+
}
|
387 |
+
},
|
388 |
+
"total_flos": 2.5000877441941504e+16,
|
389 |
+
"train_batch_size": 4,
|
390 |
+
"trial_name": null,
|
391 |
+
"trial_params": null
|
392 |
+
}
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/3_client_model_round10.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5c800361006c36cae06345537c17aa1ebe5cd8fa7b63429b8249e2b1ccc24633
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/3_client_model_round12.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6059d8c192ee065ff92661071237aa6cfea2f02b83455767975c607c6f3649c1
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/3_client_model_round15.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:935133e0149822c4a34dd759b493a6713664bd5e09d44772092f3222f89ee5aa
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/3_client_model_round17.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3d9c34eb9721154cc0e36769763604db7eea5b8afdc5c8f85bd90bd4bf5dcd1e
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/3_client_model_round2.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bd9019999c7aff8abd359ea6e2ac0408ee22f1340a521441c4b015ff79533b4d
|
3 |
+
size 395786922
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/3_client_model_round20.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2d07f1b1d9a4f315355f5ca5a8032533eec95d13f9f24793cd9aca5f86448c0a
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/3_client_model_round5.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2eacae0fbc3c56a083011c152fbbdaba320c97036c2e5f16c3c2f959e5bdffc1
|
3 |
+
size 395786922
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/3_trainer_state.json
ADDED
@@ -0,0 +1,392 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
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": 0.02,
|
13 |
+
"grad_norm": 2.0025649070739746,
|
14 |
+
"learning_rate": 2e-05,
|
15 |
+
"loss": 0.2485,
|
16 |
+
"step": 2
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.04,
|
20 |
+
"grad_norm": 1.7948851585388184,
|
21 |
+
"learning_rate": 2e-05,
|
22 |
+
"loss": 0.5361,
|
23 |
+
"step": 4
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.06,
|
27 |
+
"grad_norm": 0.8121417760848999,
|
28 |
+
"learning_rate": 2e-05,
|
29 |
+
"loss": 0.2241,
|
30 |
+
"step": 6
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.08,
|
34 |
+
"grad_norm": 2.123253345489502,
|
35 |
+
"learning_rate": 2e-05,
|
36 |
+
"loss": 0.2559,
|
37 |
+
"step": 8
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.1,
|
41 |
+
"grad_norm": 1.336986780166626,
|
42 |
+
"learning_rate": 2e-05,
|
43 |
+
"loss": 0.2471,
|
44 |
+
"step": 10
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.12,
|
48 |
+
"grad_norm": 1.3932501077651978,
|
49 |
+
"learning_rate": 2e-05,
|
50 |
+
"loss": 0.1479,
|
51 |
+
"step": 12
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.14,
|
55 |
+
"grad_norm": 1.0414385795593262,
|
56 |
+
"learning_rate": 2e-05,
|
57 |
+
"loss": 0.1372,
|
58 |
+
"step": 14
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.16,
|
62 |
+
"grad_norm": 0.6982548832893372,
|
63 |
+
"learning_rate": 2e-05,
|
64 |
+
"loss": 0.2161,
|
65 |
+
"step": 16
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.18,
|
69 |
+
"grad_norm": 0.9259173274040222,
|
70 |
+
"learning_rate": 2e-05,
|
71 |
+
"loss": 0.3291,
|
72 |
+
"step": 18
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.2,
|
76 |
+
"grad_norm": 0.6017290949821472,
|
77 |
+
"learning_rate": 2e-05,
|
78 |
+
"loss": 0.1797,
|
79 |
+
"step": 20
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.22,
|
83 |
+
"grad_norm": 3.1265554428100586,
|
84 |
+
"learning_rate": 2e-05,
|
85 |
+
"loss": 0.2627,
|
86 |
+
"step": 22
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.24,
|
90 |
+
"grad_norm": 4.754398822784424,
|
91 |
+
"learning_rate": 2e-05,
|
92 |
+
"loss": 0.3145,
|
93 |
+
"step": 24
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.26,
|
97 |
+
"grad_norm": 0.5871934294700623,
|
98 |
+
"learning_rate": 2e-05,
|
99 |
+
"loss": 0.2012,
|
100 |
+
"step": 26
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.28,
|
104 |
+
"grad_norm": 1.5588992834091187,
|
105 |
+
"learning_rate": 2e-05,
|
106 |
+
"loss": 0.3711,
|
107 |
+
"step": 28
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.3,
|
111 |
+
"grad_norm": 1.080377221107483,
|
112 |
+
"learning_rate": 2e-05,
|
113 |
+
"loss": 0.3604,
|
114 |
+
"step": 30
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.32,
|
118 |
+
"grad_norm": 2.06168794631958,
|
119 |
+
"learning_rate": 2e-05,
|
120 |
+
"loss": 0.2402,
|
121 |
+
"step": 32
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.34,
|
125 |
+
"grad_norm": 1.801756739616394,
|
126 |
+
"learning_rate": 2e-05,
|
127 |
+
"loss": 0.1768,
|
128 |
+
"step": 34
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.36,
|
132 |
+
"grad_norm": 1.4924569129943848,
|
133 |
+
"learning_rate": 2e-05,
|
134 |
+
"loss": 0.2217,
|
135 |
+
"step": 36
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.38,
|
139 |
+
"grad_norm": 1.4915250539779663,
|
140 |
+
"learning_rate": 2e-05,
|
141 |
+
"loss": 0.2451,
|
142 |
+
"step": 38
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.4,
|
146 |
+
"grad_norm": 0.8517245054244995,
|
147 |
+
"learning_rate": 2e-05,
|
148 |
+
"loss": 0.207,
|
149 |
+
"step": 40
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.42,
|
153 |
+
"grad_norm": 2.141131639480591,
|
154 |
+
"learning_rate": 2e-05,
|
155 |
+
"loss": 0.2334,
|
156 |
+
"step": 42
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.44,
|
160 |
+
"grad_norm": 3.9605770111083984,
|
161 |
+
"learning_rate": 2e-05,
|
162 |
+
"loss": 0.3008,
|
163 |
+
"step": 44
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.46,
|
167 |
+
"grad_norm": 1.275175929069519,
|
168 |
+
"learning_rate": 2e-05,
|
169 |
+
"loss": 0.2686,
|
170 |
+
"step": 46
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.48,
|
174 |
+
"grad_norm": 0.7505128383636475,
|
175 |
+
"learning_rate": 2e-05,
|
176 |
+
"loss": 0.1169,
|
177 |
+
"step": 48
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.5,
|
181 |
+
"grad_norm": 1.3512696027755737,
|
182 |
+
"learning_rate": 2e-05,
|
183 |
+
"loss": 0.2925,
|
184 |
+
"step": 50
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.52,
|
188 |
+
"grad_norm": 0.6239995956420898,
|
189 |
+
"learning_rate": 2e-05,
|
190 |
+
"loss": 0.0778,
|
191 |
+
"step": 52
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.54,
|
195 |
+
"grad_norm": 8.274873733520508,
|
196 |
+
"learning_rate": 2e-05,
|
197 |
+
"loss": 0.3345,
|
198 |
+
"step": 54
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.56,
|
202 |
+
"grad_norm": 1.730467677116394,
|
203 |
+
"learning_rate": 2e-05,
|
204 |
+
"loss": 0.2661,
|
205 |
+
"step": 56
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.58,
|
209 |
+
"grad_norm": 2.204479217529297,
|
210 |
+
"learning_rate": 2e-05,
|
211 |
+
"loss": 0.1787,
|
212 |
+
"step": 58
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.6,
|
216 |
+
"grad_norm": 2.446319580078125,
|
217 |
+
"learning_rate": 2e-05,
|
218 |
+
"loss": 0.1968,
|
219 |
+
"step": 60
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.62,
|
223 |
+
"grad_norm": 1.5213268995285034,
|
224 |
+
"learning_rate": 2e-05,
|
225 |
+
"loss": 0.1399,
|
226 |
+
"step": 62
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.64,
|
230 |
+
"grad_norm": 0.9250975251197815,
|
231 |
+
"learning_rate": 2e-05,
|
232 |
+
"loss": 0.3188,
|
233 |
+
"step": 64
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.66,
|
237 |
+
"grad_norm": 1.3367539644241333,
|
238 |
+
"learning_rate": 2e-05,
|
239 |
+
"loss": 0.251,
|
240 |
+
"step": 66
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.68,
|
244 |
+
"grad_norm": 5.409438133239746,
|
245 |
+
"learning_rate": 2e-05,
|
246 |
+
"loss": 0.1094,
|
247 |
+
"step": 68
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.7,
|
251 |
+
"grad_norm": 4.181166172027588,
|
252 |
+
"learning_rate": 2e-05,
|
253 |
+
"loss": 0.1948,
|
254 |
+
"step": 70
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.72,
|
258 |
+
"grad_norm": 1.0822051763534546,
|
259 |
+
"learning_rate": 2e-05,
|
260 |
+
"loss": 0.1116,
|
261 |
+
"step": 72
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.74,
|
265 |
+
"grad_norm": 10.998620986938477,
|
266 |
+
"learning_rate": 2e-05,
|
267 |
+
"loss": 0.2512,
|
268 |
+
"step": 74
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.76,
|
272 |
+
"grad_norm": 3.5456011295318604,
|
273 |
+
"learning_rate": 2e-05,
|
274 |
+
"loss": 0.2617,
|
275 |
+
"step": 76
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.78,
|
279 |
+
"grad_norm": 2.227940797805786,
|
280 |
+
"learning_rate": 2e-05,
|
281 |
+
"loss": 0.269,
|
282 |
+
"step": 78
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.8,
|
286 |
+
"grad_norm": 0.7067040801048279,
|
287 |
+
"learning_rate": 2e-05,
|
288 |
+
"loss": 0.1675,
|
289 |
+
"step": 80
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.82,
|
293 |
+
"grad_norm": 2.563961982727051,
|
294 |
+
"learning_rate": 2e-05,
|
295 |
+
"loss": 0.1489,
|
296 |
+
"step": 82
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.84,
|
300 |
+
"grad_norm": 12.330256462097168,
|
301 |
+
"learning_rate": 2e-05,
|
302 |
+
"loss": 0.2734,
|
303 |
+
"step": 84
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.86,
|
307 |
+
"grad_norm": 1.1151248216629028,
|
308 |
+
"learning_rate": 2e-05,
|
309 |
+
"loss": 0.3262,
|
310 |
+
"step": 86
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.88,
|
314 |
+
"grad_norm": 2.372849225997925,
|
315 |
+
"learning_rate": 2e-05,
|
316 |
+
"loss": 0.251,
|
317 |
+
"step": 88
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.9,
|
321 |
+
"grad_norm": 1.5705537796020508,
|
322 |
+
"learning_rate": 2e-05,
|
323 |
+
"loss": 0.187,
|
324 |
+
"step": 90
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.92,
|
328 |
+
"grad_norm": 3.64632511138916,
|
329 |
+
"learning_rate": 2e-05,
|
330 |
+
"loss": 0.2095,
|
331 |
+
"step": 92
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.94,
|
335 |
+
"grad_norm": 0.7962813973426819,
|
336 |
+
"learning_rate": 2e-05,
|
337 |
+
"loss": 0.1699,
|
338 |
+
"step": 94
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.96,
|
342 |
+
"grad_norm": 4.290016174316406,
|
343 |
+
"learning_rate": 2e-05,
|
344 |
+
"loss": 0.2295,
|
345 |
+
"step": 96
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.98,
|
349 |
+
"grad_norm": 3.72586989402771,
|
350 |
+
"learning_rate": 2e-05,
|
351 |
+
"loss": 0.1671,
|
352 |
+
"step": 98
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 1.0,
|
356 |
+
"grad_norm": 0.6375048160552979,
|
357 |
+
"learning_rate": 2e-05,
|
358 |
+
"loss": 0.0822,
|
359 |
+
"step": 100
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 1.0,
|
363 |
+
"step": 100,
|
364 |
+
"total_flos": 2.703806282334208e+16,
|
365 |
+
"train_loss": 0.230157470703125,
|
366 |
+
"train_runtime": 442.335,
|
367 |
+
"train_samples_per_second": 0.904,
|
368 |
+
"train_steps_per_second": 0.226
|
369 |
+
}
|
370 |
+
],
|
371 |
+
"logging_steps": 2,
|
372 |
+
"max_steps": 100,
|
373 |
+
"num_input_tokens_seen": 0,
|
374 |
+
"num_train_epochs": 1,
|
375 |
+
"save_steps": 500,
|
376 |
+
"stateful_callbacks": {
|
377 |
+
"TrainerControl": {
|
378 |
+
"args": {
|
379 |
+
"should_epoch_stop": false,
|
380 |
+
"should_evaluate": false,
|
381 |
+
"should_log": false,
|
382 |
+
"should_save": false,
|
383 |
+
"should_training_stop": false
|
384 |
+
},
|
385 |
+
"attributes": {}
|
386 |
+
}
|
387 |
+
},
|
388 |
+
"total_flos": 2.703806282334208e+16,
|
389 |
+
"train_batch_size": 4,
|
390 |
+
"trial_name": null,
|
391 |
+
"trial_params": null
|
392 |
+
}
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/4_client_model_round10.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:874a0a2c0ac827b4eaf45ccddd3873af0e615dbbbf08df114a3ad58e829a146e
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/4_client_model_round12.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:12da84ffc55a8a548e476fcd520c03411a2d7b6e6b2622aa9aed6f3db764db4c
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/4_client_model_round15.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9aed93444b1374e9e94fbc40b6f6a40e43eeb8e18eafb7b783ceedf346829d30
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/4_client_model_round17.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7cd1fb6feb80eb728f88abbfe63c5446cbbfd716b0e764a07f0417059ea7a0b0
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/4_client_model_round2.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8a59d4ff5fbbbb420881bf7d931967b88b54cce8e9b8f40815c7126074125511
|
3 |
+
size 395786922
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/4_client_model_round20.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a41a550d740cb0f8a7ea2d46d715303cdde79c13a4fdcfcac36ad5ccfed1e982
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/4_client_model_round5.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:509e77e3a5f04635b7a2f37e0b504792e39ab5f027ccd67faa80c0105d2b4fbc
|
3 |
+
size 395786922
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/4_trainer_state.json
ADDED
@@ -0,0 +1,392 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
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": 0.02,
|
13 |
+
"grad_norm": 1.7979049682617188,
|
14 |
+
"learning_rate": 2e-05,
|
15 |
+
"loss": 0.2332,
|
16 |
+
"step": 2
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.04,
|
20 |
+
"grad_norm": 0.8530945181846619,
|
21 |
+
"learning_rate": 2e-05,
|
22 |
+
"loss": 0.0725,
|
23 |
+
"step": 4
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.06,
|
27 |
+
"grad_norm": 2.4376585483551025,
|
28 |
+
"learning_rate": 2e-05,
|
29 |
+
"loss": 0.1489,
|
30 |
+
"step": 6
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.08,
|
34 |
+
"grad_norm": 1.372811198234558,
|
35 |
+
"learning_rate": 2e-05,
|
36 |
+
"loss": 0.0916,
|
37 |
+
"step": 8
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.1,
|
41 |
+
"grad_norm": 2.194847583770752,
|
42 |
+
"learning_rate": 2e-05,
|
43 |
+
"loss": 0.2046,
|
44 |
+
"step": 10
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.12,
|
48 |
+
"grad_norm": 1.073252558708191,
|
49 |
+
"learning_rate": 2e-05,
|
50 |
+
"loss": 0.1852,
|
51 |
+
"step": 12
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.14,
|
55 |
+
"grad_norm": 0.2176636904478073,
|
56 |
+
"learning_rate": 2e-05,
|
57 |
+
"loss": 0.0349,
|
58 |
+
"step": 14
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.16,
|
62 |
+
"grad_norm": 3.995069980621338,
|
63 |
+
"learning_rate": 2e-05,
|
64 |
+
"loss": 0.2549,
|
65 |
+
"step": 16
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.18,
|
69 |
+
"grad_norm": 0.7777777314186096,
|
70 |
+
"learning_rate": 2e-05,
|
71 |
+
"loss": 0.1458,
|
72 |
+
"step": 18
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.2,
|
76 |
+
"grad_norm": 1.9153635501861572,
|
77 |
+
"learning_rate": 2e-05,
|
78 |
+
"loss": 0.0589,
|
79 |
+
"step": 20
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.22,
|
83 |
+
"grad_norm": 3.5894811153411865,
|
84 |
+
"learning_rate": 2e-05,
|
85 |
+
"loss": 0.189,
|
86 |
+
"step": 22
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.24,
|
90 |
+
"grad_norm": 1.8403184413909912,
|
91 |
+
"learning_rate": 2e-05,
|
92 |
+
"loss": 0.3677,
|
93 |
+
"step": 24
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.26,
|
97 |
+
"grad_norm": 6.922029972076416,
|
98 |
+
"learning_rate": 2e-05,
|
99 |
+
"loss": 0.7754,
|
100 |
+
"step": 26
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.28,
|
104 |
+
"grad_norm": 3.2179768085479736,
|
105 |
+
"learning_rate": 2e-05,
|
106 |
+
"loss": 0.4561,
|
107 |
+
"step": 28
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.3,
|
111 |
+
"grad_norm": 4.006457328796387,
|
112 |
+
"learning_rate": 2e-05,
|
113 |
+
"loss": 0.4551,
|
114 |
+
"step": 30
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.32,
|
118 |
+
"grad_norm": 2.419265031814575,
|
119 |
+
"learning_rate": 2e-05,
|
120 |
+
"loss": 0.1953,
|
121 |
+
"step": 32
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.34,
|
125 |
+
"grad_norm": 0.8707253336906433,
|
126 |
+
"learning_rate": 2e-05,
|
127 |
+
"loss": 0.1899,
|
128 |
+
"step": 34
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.36,
|
132 |
+
"grad_norm": 1.0631970167160034,
|
133 |
+
"learning_rate": 2e-05,
|
134 |
+
"loss": 0.3623,
|
135 |
+
"step": 36
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.38,
|
139 |
+
"grad_norm": 1.6909946203231812,
|
140 |
+
"learning_rate": 2e-05,
|
141 |
+
"loss": 0.0984,
|
142 |
+
"step": 38
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.4,
|
146 |
+
"grad_norm": 2.8037109375,
|
147 |
+
"learning_rate": 2e-05,
|
148 |
+
"loss": 0.2969,
|
149 |
+
"step": 40
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.42,
|
153 |
+
"grad_norm": 0.13729023933410645,
|
154 |
+
"learning_rate": 2e-05,
|
155 |
+
"loss": 0.0875,
|
156 |
+
"step": 42
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.44,
|
160 |
+
"grad_norm": 1.0968855619430542,
|
161 |
+
"learning_rate": 2e-05,
|
162 |
+
"loss": 0.2334,
|
163 |
+
"step": 44
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.46,
|
167 |
+
"grad_norm": 1.9539963006973267,
|
168 |
+
"learning_rate": 2e-05,
|
169 |
+
"loss": 0.1895,
|
170 |
+
"step": 46
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.48,
|
174 |
+
"grad_norm": 1.4654781818389893,
|
175 |
+
"learning_rate": 2e-05,
|
176 |
+
"loss": 0.1545,
|
177 |
+
"step": 48
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.5,
|
181 |
+
"grad_norm": 1.7956494092941284,
|
182 |
+
"learning_rate": 2e-05,
|
183 |
+
"loss": 0.2256,
|
184 |
+
"step": 50
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.52,
|
188 |
+
"grad_norm": 1.6221271753311157,
|
189 |
+
"learning_rate": 2e-05,
|
190 |
+
"loss": 0.4038,
|
191 |
+
"step": 52
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.54,
|
195 |
+
"grad_norm": 0.8657891154289246,
|
196 |
+
"learning_rate": 2e-05,
|
197 |
+
"loss": 0.1365,
|
198 |
+
"step": 54
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.56,
|
202 |
+
"grad_norm": 2.6475398540496826,
|
203 |
+
"learning_rate": 2e-05,
|
204 |
+
"loss": 0.0962,
|
205 |
+
"step": 56
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.58,
|
209 |
+
"grad_norm": 1.2849177122116089,
|
210 |
+
"learning_rate": 2e-05,
|
211 |
+
"loss": 0.1753,
|
212 |
+
"step": 58
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.6,
|
216 |
+
"grad_norm": 0.8204646110534668,
|
217 |
+
"learning_rate": 2e-05,
|
218 |
+
"loss": 0.075,
|
219 |
+
"step": 60
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.62,
|
223 |
+
"grad_norm": 1.6790094375610352,
|
224 |
+
"learning_rate": 2e-05,
|
225 |
+
"loss": 0.1567,
|
226 |
+
"step": 62
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.64,
|
230 |
+
"grad_norm": 6.28656530380249,
|
231 |
+
"learning_rate": 2e-05,
|
232 |
+
"loss": 0.3691,
|
233 |
+
"step": 64
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.66,
|
237 |
+
"grad_norm": 3.1709206104278564,
|
238 |
+
"learning_rate": 2e-05,
|
239 |
+
"loss": 0.3486,
|
240 |
+
"step": 66
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.68,
|
244 |
+
"grad_norm": 0.12063116580247879,
|
245 |
+
"learning_rate": 2e-05,
|
246 |
+
"loss": 0.0579,
|
247 |
+
"step": 68
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.7,
|
251 |
+
"grad_norm": 2.6891348361968994,
|
252 |
+
"learning_rate": 2e-05,
|
253 |
+
"loss": 0.179,
|
254 |
+
"step": 70
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.72,
|
258 |
+
"grad_norm": 3.5351128578186035,
|
259 |
+
"learning_rate": 2e-05,
|
260 |
+
"loss": 0.2651,
|
261 |
+
"step": 72
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.74,
|
265 |
+
"grad_norm": 0.48907238245010376,
|
266 |
+
"learning_rate": 2e-05,
|
267 |
+
"loss": 0.2495,
|
268 |
+
"step": 74
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.76,
|
272 |
+
"grad_norm": 3.253840923309326,
|
273 |
+
"learning_rate": 2e-05,
|
274 |
+
"loss": 0.2278,
|
275 |
+
"step": 76
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.78,
|
279 |
+
"grad_norm": 2.225708484649658,
|
280 |
+
"learning_rate": 2e-05,
|
281 |
+
"loss": 0.1725,
|
282 |
+
"step": 78
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.8,
|
286 |
+
"grad_norm": 6.755949020385742,
|
287 |
+
"learning_rate": 2e-05,
|
288 |
+
"loss": 0.3335,
|
289 |
+
"step": 80
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.82,
|
293 |
+
"grad_norm": 4.792585372924805,
|
294 |
+
"learning_rate": 2e-05,
|
295 |
+
"loss": 0.229,
|
296 |
+
"step": 82
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.84,
|
300 |
+
"grad_norm": 8.50632095336914,
|
301 |
+
"learning_rate": 2e-05,
|
302 |
+
"loss": 0.5068,
|
303 |
+
"step": 84
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.86,
|
307 |
+
"grad_norm": 2.2268624305725098,
|
308 |
+
"learning_rate": 2e-05,
|
309 |
+
"loss": 0.1063,
|
310 |
+
"step": 86
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.88,
|
314 |
+
"grad_norm": 3.5307092666625977,
|
315 |
+
"learning_rate": 2e-05,
|
316 |
+
"loss": 0.3721,
|
317 |
+
"step": 88
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.9,
|
321 |
+
"grad_norm": 1.4677900075912476,
|
322 |
+
"learning_rate": 2e-05,
|
323 |
+
"loss": 0.058,
|
324 |
+
"step": 90
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.92,
|
328 |
+
"grad_norm": 3.4051296710968018,
|
329 |
+
"learning_rate": 2e-05,
|
330 |
+
"loss": 0.333,
|
331 |
+
"step": 92
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.94,
|
335 |
+
"grad_norm": 1.5520013570785522,
|
336 |
+
"learning_rate": 2e-05,
|
337 |
+
"loss": 0.0959,
|
338 |
+
"step": 94
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.96,
|
342 |
+
"grad_norm": 1.343193769454956,
|
343 |
+
"learning_rate": 2e-05,
|
344 |
+
"loss": 0.2673,
|
345 |
+
"step": 96
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.98,
|
349 |
+
"grad_norm": 8.007261276245117,
|
350 |
+
"learning_rate": 2e-05,
|
351 |
+
"loss": 0.2444,
|
352 |
+
"step": 98
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 1.0,
|
356 |
+
"grad_norm": 1.1382752656936646,
|
357 |
+
"learning_rate": 2e-05,
|
358 |
+
"loss": 0.1812,
|
359 |
+
"step": 100
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 1.0,
|
363 |
+
"step": 100,
|
364 |
+
"total_flos": 2.66822049857536e+16,
|
365 |
+
"train_loss": 0.226947021484375,
|
366 |
+
"train_runtime": 436.2411,
|
367 |
+
"train_samples_per_second": 0.917,
|
368 |
+
"train_steps_per_second": 0.229
|
369 |
+
}
|
370 |
+
],
|
371 |
+
"logging_steps": 2,
|
372 |
+
"max_steps": 100,
|
373 |
+
"num_input_tokens_seen": 0,
|
374 |
+
"num_train_epochs": 1,
|
375 |
+
"save_steps": 500,
|
376 |
+
"stateful_callbacks": {
|
377 |
+
"TrainerControl": {
|
378 |
+
"args": {
|
379 |
+
"should_epoch_stop": false,
|
380 |
+
"should_evaluate": false,
|
381 |
+
"should_log": false,
|
382 |
+
"should_save": false,
|
383 |
+
"should_training_stop": false
|
384 |
+
},
|
385 |
+
"attributes": {}
|
386 |
+
}
|
387 |
+
},
|
388 |
+
"total_flos": 2.66822049857536e+16,
|
389 |
+
"train_batch_size": 4,
|
390 |
+
"trial_name": null,
|
391 |
+
"trial_params": null
|
392 |
+
}
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/5_client_model_round10.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:571fd547f051f9af584566a2ddbe2e2394a44a00d743bb703279f3dbec5bb5a6
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/5_client_model_round12.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:54b4cb9408427d40d220cc237ffe852eb3c96a58f271e2a503eebed3d6686c57
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/5_client_model_round15.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:180d44335e1bda32c8d2feadaf08b1ec61d2aa1905c171f0e7febe4697bee9c1
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/5_client_model_round17.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4a0d5ed7fc203ff982c04f189803c1f553cfc3575ee07cffea85a56eb0496781
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/5_client_model_round2.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:799e3a37371b8beb19d4fb570cdc1673a48839d26180c40712d0b17432009cab
|
3 |
+
size 395786922
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/5_client_model_round20.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c5a26dbc47705491d3a713c9daccad7308bdbf423af4a48163c9c0e19d4e4628
|
3 |
+
size 395787774
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/5_client_model_round5.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ddb891917158aee8803a1b70e15b4c47473c94bdda5c2de9d43be7ec9b4448e3
|
3 |
+
size 395786922
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/5_trainer_state.json
ADDED
@@ -0,0 +1,392 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
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": 0.02,
|
13 |
+
"grad_norm": 2.549835443496704,
|
14 |
+
"learning_rate": 2e-05,
|
15 |
+
"loss": 0.4492,
|
16 |
+
"step": 2
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.04,
|
20 |
+
"grad_norm": 0.4158651828765869,
|
21 |
+
"learning_rate": 2e-05,
|
22 |
+
"loss": 0.0829,
|
23 |
+
"step": 4
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.06,
|
27 |
+
"grad_norm": 5.307398319244385,
|
28 |
+
"learning_rate": 2e-05,
|
29 |
+
"loss": 0.2295,
|
30 |
+
"step": 6
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.08,
|
34 |
+
"grad_norm": 0.3566608726978302,
|
35 |
+
"learning_rate": 2e-05,
|
36 |
+
"loss": 0.0897,
|
37 |
+
"step": 8
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.1,
|
41 |
+
"grad_norm": 0.9706152081489563,
|
42 |
+
"learning_rate": 2e-05,
|
43 |
+
"loss": 0.2598,
|
44 |
+
"step": 10
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.12,
|
48 |
+
"grad_norm": 1.9534002542495728,
|
49 |
+
"learning_rate": 2e-05,
|
50 |
+
"loss": 0.3379,
|
51 |
+
"step": 12
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.14,
|
55 |
+
"grad_norm": 3.8293063640594482,
|
56 |
+
"learning_rate": 2e-05,
|
57 |
+
"loss": 0.0673,
|
58 |
+
"step": 14
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.16,
|
62 |
+
"grad_norm": 1.4109033346176147,
|
63 |
+
"learning_rate": 2e-05,
|
64 |
+
"loss": 0.188,
|
65 |
+
"step": 16
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.18,
|
69 |
+
"grad_norm": 0.8552109003067017,
|
70 |
+
"learning_rate": 2e-05,
|
71 |
+
"loss": 0.134,
|
72 |
+
"step": 18
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.2,
|
76 |
+
"grad_norm": 0.48601436614990234,
|
77 |
+
"learning_rate": 2e-05,
|
78 |
+
"loss": 0.1133,
|
79 |
+
"step": 20
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.22,
|
83 |
+
"grad_norm": 2.806236505508423,
|
84 |
+
"learning_rate": 2e-05,
|
85 |
+
"loss": 0.2446,
|
86 |
+
"step": 22
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.24,
|
90 |
+
"grad_norm": 2.574978828430176,
|
91 |
+
"learning_rate": 2e-05,
|
92 |
+
"loss": 0.2157,
|
93 |
+
"step": 24
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.26,
|
97 |
+
"grad_norm": 0.5801928639411926,
|
98 |
+
"learning_rate": 2e-05,
|
99 |
+
"loss": 0.2695,
|
100 |
+
"step": 26
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.28,
|
104 |
+
"grad_norm": 0.201779305934906,
|
105 |
+
"learning_rate": 2e-05,
|
106 |
+
"loss": 0.055,
|
107 |
+
"step": 28
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.3,
|
111 |
+
"grad_norm": 0.1705542653799057,
|
112 |
+
"learning_rate": 2e-05,
|
113 |
+
"loss": 0.0763,
|
114 |
+
"step": 30
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.32,
|
118 |
+
"grad_norm": 0.5239601731300354,
|
119 |
+
"learning_rate": 2e-05,
|
120 |
+
"loss": 0.0891,
|
121 |
+
"step": 32
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.34,
|
125 |
+
"grad_norm": 0.7213793396949768,
|
126 |
+
"learning_rate": 2e-05,
|
127 |
+
"loss": 0.1084,
|
128 |
+
"step": 34
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.36,
|
132 |
+
"grad_norm": 8.098418235778809,
|
133 |
+
"learning_rate": 2e-05,
|
134 |
+
"loss": 0.2583,
|
135 |
+
"step": 36
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.38,
|
139 |
+
"grad_norm": 0.6241951584815979,
|
140 |
+
"learning_rate": 2e-05,
|
141 |
+
"loss": 0.0559,
|
142 |
+
"step": 38
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.4,
|
146 |
+
"grad_norm": 0.5840942859649658,
|
147 |
+
"learning_rate": 2e-05,
|
148 |
+
"loss": 0.0742,
|
149 |
+
"step": 40
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.42,
|
153 |
+
"grad_norm": 0.7002200484275818,
|
154 |
+
"learning_rate": 2e-05,
|
155 |
+
"loss": 0.098,
|
156 |
+
"step": 42
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.44,
|
160 |
+
"grad_norm": 0.7152146100997925,
|
161 |
+
"learning_rate": 2e-05,
|
162 |
+
"loss": 0.3774,
|
163 |
+
"step": 44
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.46,
|
167 |
+
"grad_norm": 2.125622510910034,
|
168 |
+
"learning_rate": 2e-05,
|
169 |
+
"loss": 0.215,
|
170 |
+
"step": 46
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.48,
|
174 |
+
"grad_norm": 0.45262452960014343,
|
175 |
+
"learning_rate": 2e-05,
|
176 |
+
"loss": 0.0374,
|
177 |
+
"step": 48
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.5,
|
181 |
+
"grad_norm": 1.5261863470077515,
|
182 |
+
"learning_rate": 2e-05,
|
183 |
+
"loss": 0.0385,
|
184 |
+
"step": 50
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.52,
|
188 |
+
"grad_norm": 2.1815991401672363,
|
189 |
+
"learning_rate": 2e-05,
|
190 |
+
"loss": 0.1992,
|
191 |
+
"step": 52
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.54,
|
195 |
+
"grad_norm": 0.572287380695343,
|
196 |
+
"learning_rate": 2e-05,
|
197 |
+
"loss": 0.0801,
|
198 |
+
"step": 54
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.56,
|
202 |
+
"grad_norm": 0.6819407939910889,
|
203 |
+
"learning_rate": 2e-05,
|
204 |
+
"loss": 0.0903,
|
205 |
+
"step": 56
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.58,
|
209 |
+
"grad_norm": 5.11102819442749,
|
210 |
+
"learning_rate": 2e-05,
|
211 |
+
"loss": 0.1851,
|
212 |
+
"step": 58
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.6,
|
216 |
+
"grad_norm": 4.898163318634033,
|
217 |
+
"learning_rate": 2e-05,
|
218 |
+
"loss": 0.3965,
|
219 |
+
"step": 60
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.62,
|
223 |
+
"grad_norm": 0.501598060131073,
|
224 |
+
"learning_rate": 2e-05,
|
225 |
+
"loss": 0.0896,
|
226 |
+
"step": 62
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.64,
|
230 |
+
"grad_norm": 1.2187391519546509,
|
231 |
+
"learning_rate": 2e-05,
|
232 |
+
"loss": 0.3701,
|
233 |
+
"step": 64
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.66,
|
237 |
+
"grad_norm": 0.4092749357223511,
|
238 |
+
"learning_rate": 2e-05,
|
239 |
+
"loss": 0.0815,
|
240 |
+
"step": 66
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.68,
|
244 |
+
"grad_norm": 2.0137696266174316,
|
245 |
+
"learning_rate": 2e-05,
|
246 |
+
"loss": 0.2798,
|
247 |
+
"step": 68
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.7,
|
251 |
+
"grad_norm": 0.4367271363735199,
|
252 |
+
"learning_rate": 2e-05,
|
253 |
+
"loss": 0.1514,
|
254 |
+
"step": 70
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.72,
|
258 |
+
"grad_norm": 0.6051576733589172,
|
259 |
+
"learning_rate": 2e-05,
|
260 |
+
"loss": 0.0551,
|
261 |
+
"step": 72
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.74,
|
265 |
+
"grad_norm": 0.48240211606025696,
|
266 |
+
"learning_rate": 2e-05,
|
267 |
+
"loss": 0.1748,
|
268 |
+
"step": 74
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.76,
|
272 |
+
"grad_norm": 0.7057625651359558,
|
273 |
+
"learning_rate": 2e-05,
|
274 |
+
"loss": 0.127,
|
275 |
+
"step": 76
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.78,
|
279 |
+
"grad_norm": 3.536785125732422,
|
280 |
+
"learning_rate": 2e-05,
|
281 |
+
"loss": 0.2402,
|
282 |
+
"step": 78
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.8,
|
286 |
+
"grad_norm": 3.3254449367523193,
|
287 |
+
"learning_rate": 2e-05,
|
288 |
+
"loss": 0.2876,
|
289 |
+
"step": 80
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.82,
|
293 |
+
"grad_norm": 0.7100874781608582,
|
294 |
+
"learning_rate": 2e-05,
|
295 |
+
"loss": 0.0833,
|
296 |
+
"step": 82
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.84,
|
300 |
+
"grad_norm": 3.474085807800293,
|
301 |
+
"learning_rate": 2e-05,
|
302 |
+
"loss": 0.1663,
|
303 |
+
"step": 84
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.86,
|
307 |
+
"grad_norm": 0.025565659627318382,
|
308 |
+
"learning_rate": 2e-05,
|
309 |
+
"loss": 0.0882,
|
310 |
+
"step": 86
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.88,
|
314 |
+
"grad_norm": 2.122403144836426,
|
315 |
+
"learning_rate": 2e-05,
|
316 |
+
"loss": 0.0574,
|
317 |
+
"step": 88
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.9,
|
321 |
+
"grad_norm": 0.5345476269721985,
|
322 |
+
"learning_rate": 2e-05,
|
323 |
+
"loss": 0.1709,
|
324 |
+
"step": 90
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.92,
|
328 |
+
"grad_norm": 2.4158120155334473,
|
329 |
+
"learning_rate": 2e-05,
|
330 |
+
"loss": 0.1973,
|
331 |
+
"step": 92
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.94,
|
335 |
+
"grad_norm": 0.47550350427627563,
|
336 |
+
"learning_rate": 2e-05,
|
337 |
+
"loss": 0.1047,
|
338 |
+
"step": 94
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.96,
|
342 |
+
"grad_norm": 1.016447901725769,
|
343 |
+
"learning_rate": 2e-05,
|
344 |
+
"loss": 0.1031,
|
345 |
+
"step": 96
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.98,
|
349 |
+
"grad_norm": 1.8785897493362427,
|
350 |
+
"learning_rate": 2e-05,
|
351 |
+
"loss": 0.1536,
|
352 |
+
"step": 98
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 1.0,
|
356 |
+
"grad_norm": 2.1417903900146484,
|
357 |
+
"learning_rate": 2e-05,
|
358 |
+
"loss": 0.2004,
|
359 |
+
"step": 100
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 1.0,
|
363 |
+
"step": 100,
|
364 |
+
"total_flos": 3.162254698610688e+16,
|
365 |
+
"train_loss": 0.16597122192382813,
|
366 |
+
"train_runtime": 519.5813,
|
367 |
+
"train_samples_per_second": 0.77,
|
368 |
+
"train_steps_per_second": 0.192
|
369 |
+
}
|
370 |
+
],
|
371 |
+
"logging_steps": 2,
|
372 |
+
"max_steps": 100,
|
373 |
+
"num_input_tokens_seen": 0,
|
374 |
+
"num_train_epochs": 1,
|
375 |
+
"save_steps": 500,
|
376 |
+
"stateful_callbacks": {
|
377 |
+
"TrainerControl": {
|
378 |
+
"args": {
|
379 |
+
"should_epoch_stop": false,
|
380 |
+
"should_evaluate": false,
|
381 |
+
"should_log": false,
|
382 |
+
"should_save": false,
|
383 |
+
"should_training_stop": false
|
384 |
+
},
|
385 |
+
"attributes": {}
|
386 |
+
}
|
387 |
+
},
|
388 |
+
"total_flos": 3.162254698610688e+16,
|
389 |
+
"train_batch_size": 4,
|
390 |
+
"trial_name": null,
|
391 |
+
"trial_params": null
|
392 |
+
}
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/6_client_model_round10.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1325415a5a8db5d42448c71fd3e2153ad55cc0e4ab5239ad88031fea5a24d078
|
3 |
+
size 184221358
|
client_states_fedMultipqfullfreeze_sft_bs4_saveoptim_lr2e-5_5e-5_sc132_4tasks_5rounds_fixitr100_T0125_decay099/6_client_model_round12.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:046d4ed192e5add6d134d4f682449a7f24ce73380119dbc179d0a7c75a7d389c
|
3 |
+
size 184221358
|