End of training
Browse files- adapter_model.safetensors +1 -1
- all_results.json +3 -3
- train_results.json +3 -3
- trainer_state.json +47 -47
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 842289128
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1cd35b8dac3d83677cdb5076be5c498774cec31385387e529adfd1edc8cda7da
|
3 |
size 842289128
|
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
-
"train_loss":
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 9,
|
6 |
-
"train_samples_per_second": 0.
|
7 |
"train_steps_per_second": 0.002
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 3.932331696887559e-06,
|
4 |
+
"train_runtime": 4767.9782,
|
5 |
"train_samples": 9,
|
6 |
+
"train_samples_per_second": 0.017,
|
7 |
"train_steps_per_second": 0.002
|
8 |
}
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
-
"train_loss":
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 9,
|
6 |
-
"train_samples_per_second": 0.
|
7 |
"train_steps_per_second": 0.002
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 3.932331696887559e-06,
|
4 |
+
"train_runtime": 4767.9782,
|
5 |
"train_samples": 9,
|
6 |
+
"train_samples_per_second": 0.017,
|
7 |
"train_steps_per_second": 0.002
|
8 |
}
|
trainer_state.json
CHANGED
@@ -10,107 +10,107 @@
|
|
10 |
"is_world_process_zero": true,
|
11 |
"log_history": [
|
12 |
{
|
13 |
-
"completion_length":
|
14 |
"epoch": 0.8888888888888888,
|
15 |
-
"grad_norm": 0.
|
16 |
-
"kl": 0.
|
17 |
"learning_rate": 5e-07,
|
18 |
"loss": 0.0,
|
19 |
-
"reward":
|
20 |
-
"reward_std": 0.
|
21 |
-
"rewards/concensus_correctness_reward_func":
|
22 |
-
"rewards/consensus_reward_func":
|
23 |
"rewards/cumulative_reward_2": 0.0,
|
24 |
-
"rewards/final_correctness_reward_func":
|
25 |
-
"rewards/question_recreation_reward_func": 0.
|
26 |
"rewards/soft_format_reward_func": 0.0,
|
27 |
"rewards/strict_format_reward_func": 0.0,
|
28 |
-
"rewards/xmlcount_reward_func": -0.
|
29 |
"step": 2
|
30 |
},
|
31 |
{
|
32 |
-
"completion_length":
|
33 |
"epoch": 1.4444444444444444,
|
34 |
-
"grad_norm": 0.
|
35 |
-
"kl": 0.
|
36 |
"learning_rate": 4.415111107797445e-07,
|
37 |
"loss": 0.0,
|
38 |
-
"reward": 4.
|
39 |
-
"reward_std": 0.
|
40 |
-
"rewards/concensus_correctness_reward_func": 0.
|
41 |
"rewards/consensus_reward_func": 2.0,
|
42 |
"rewards/cumulative_reward_2": 0.0,
|
43 |
"rewards/final_correctness_reward_func": 0.4,
|
44 |
-
"rewards/question_recreation_reward_func": 0.
|
45 |
"rewards/soft_format_reward_func": 0.0,
|
46 |
"rewards/strict_format_reward_func": 0.0,
|
47 |
-
"rewards/xmlcount_reward_func": 0.
|
48 |
"step": 4
|
49 |
},
|
50 |
{
|
51 |
-
"completion_length":
|
52 |
"epoch": 2.0,
|
53 |
-
"grad_norm": 0.
|
54 |
-
"kl": 0.
|
55 |
"learning_rate": 2.934120444167326e-07,
|
56 |
"loss": 0.0,
|
57 |
-
"reward":
|
58 |
-
"reward_std": 0.
|
59 |
-
"rewards/concensus_correctness_reward_func":
|
60 |
"rewards/consensus_reward_func": 2.0,
|
61 |
"rewards/cumulative_reward_2": 0.0,
|
62 |
-
"rewards/final_correctness_reward_func":
|
63 |
-
"rewards/question_recreation_reward_func": 0.
|
64 |
"rewards/soft_format_reward_func": 0.0,
|
65 |
"rewards/strict_format_reward_func": 0.0,
|
66 |
-
"rewards/xmlcount_reward_func":
|
67 |
"step": 6
|
68 |
},
|
69 |
{
|
70 |
-
"completion_length":
|
71 |
"epoch": 2.888888888888889,
|
72 |
-
"grad_norm": 0.
|
73 |
-
"kl": 0.
|
74 |
"learning_rate": 1.2500000000000005e-07,
|
75 |
"loss": 0.0,
|
76 |
-
"reward":
|
77 |
-
"reward_std": 0.
|
78 |
-
"rewards/concensus_correctness_reward_func":
|
79 |
"rewards/consensus_reward_func": 2.0,
|
80 |
"rewards/cumulative_reward_2": 0.0,
|
81 |
-
"rewards/final_correctness_reward_func": 0.
|
82 |
-
"rewards/question_recreation_reward_func": 0.
|
83 |
"rewards/soft_format_reward_func": 0.0,
|
84 |
"rewards/strict_format_reward_func": 0.0,
|
85 |
-
"rewards/xmlcount_reward_func":
|
86 |
"step": 8
|
87 |
},
|
88 |
{
|
89 |
-
"completion_length":
|
90 |
"epoch": 3.4444444444444446,
|
91 |
-
"grad_norm": 0.
|
92 |
-
"kl": 0.
|
93 |
"learning_rate": 1.507684480352292e-08,
|
94 |
"loss": 0.0,
|
95 |
-
"reward": 4.
|
96 |
-
"reward_std": 0.
|
97 |
-
"rewards/concensus_correctness_reward_func": 1.
|
98 |
"rewards/consensus_reward_func": 2.0,
|
99 |
"rewards/cumulative_reward_2": 0.0,
|
100 |
"rewards/final_correctness_reward_func": 0.8,
|
101 |
-
"rewards/question_recreation_reward_func": 0.
|
102 |
"rewards/soft_format_reward_func": 0.0,
|
103 |
"rewards/strict_format_reward_func": 0.0,
|
104 |
-
"rewards/xmlcount_reward_func": -0.
|
105 |
"step": 10
|
106 |
},
|
107 |
{
|
108 |
"epoch": 3.4444444444444446,
|
109 |
"step": 10,
|
110 |
"total_flos": 0.0,
|
111 |
-
"train_loss":
|
112 |
-
"train_runtime":
|
113 |
-
"train_samples_per_second": 0.
|
114 |
"train_steps_per_second": 0.002
|
115 |
}
|
116 |
],
|
|
|
10 |
"is_world_process_zero": true,
|
11 |
"log_history": [
|
12 |
{
|
13 |
+
"completion_length": 350.5,
|
14 |
"epoch": 0.8888888888888888,
|
15 |
+
"grad_norm": 0.26594895124435425,
|
16 |
+
"kl": 0.001963111659279093,
|
17 |
"learning_rate": 5e-07,
|
18 |
"loss": 0.0,
|
19 |
+
"reward": 7.284998536109924,
|
20 |
+
"reward_std": 0.037513982970267534,
|
21 |
+
"rewards/concensus_correctness_reward_func": 3.5592499980702996,
|
22 |
+
"rewards/consensus_reward_func": 2.0,
|
23 |
"rewards/cumulative_reward_2": 0.0,
|
24 |
+
"rewards/final_correctness_reward_func": 0.75,
|
25 |
+
"rewards/question_recreation_reward_func": 0.9984983280301094,
|
26 |
"rewards/soft_format_reward_func": 0.0,
|
27 |
"rewards/strict_format_reward_func": 0.0,
|
28 |
+
"rewards/xmlcount_reward_func": -0.022750002099201083,
|
29 |
"step": 2
|
30 |
},
|
31 |
{
|
32 |
+
"completion_length": 309.4,
|
33 |
"epoch": 1.4444444444444444,
|
34 |
+
"grad_norm": 0.5197527408599854,
|
35 |
+
"kl": 0.0027932931669056417,
|
36 |
"learning_rate": 4.415111107797445e-07,
|
37 |
"loss": 0.0,
|
38 |
+
"reward": 4.174948835372925,
|
39 |
+
"reward_std": 0.08027855101972818,
|
40 |
+
"rewards/concensus_correctness_reward_func": 0.7891999736428261,
|
41 |
"rewards/consensus_reward_func": 2.0,
|
42 |
"rewards/cumulative_reward_2": 0.0,
|
43 |
"rewards/final_correctness_reward_func": 0.4,
|
44 |
+
"rewards/question_recreation_reward_func": 0.9412487030029297,
|
45 |
"rewards/soft_format_reward_func": 0.0,
|
46 |
"rewards/strict_format_reward_func": 0.0,
|
47 |
+
"rewards/xmlcount_reward_func": 0.04449999965727329,
|
48 |
"step": 4
|
49 |
},
|
50 |
{
|
51 |
+
"completion_length": 348.5,
|
52 |
"epoch": 2.0,
|
53 |
+
"grad_norm": 0.15567967295646667,
|
54 |
+
"kl": 0.002238281024619937,
|
55 |
"learning_rate": 2.934120444167326e-07,
|
56 |
"loss": 0.0,
|
57 |
+
"reward": 8.774999618530273,
|
58 |
+
"reward_std": 0.14355496428906916,
|
59 |
+
"rewards/concensus_correctness_reward_func": 5.032800018787384,
|
60 |
"rewards/consensus_reward_func": 2.0,
|
61 |
"rewards/cumulative_reward_2": 0.0,
|
62 |
+
"rewards/final_correctness_reward_func": 0.8,
|
63 |
+
"rewards/question_recreation_reward_func": 0.9194996118545532,
|
64 |
"rewards/soft_format_reward_func": 0.0,
|
65 |
"rewards/strict_format_reward_func": 0.0,
|
66 |
+
"rewards/xmlcount_reward_func": 0.022700001299381257,
|
67 |
"step": 6
|
68 |
},
|
69 |
{
|
70 |
+
"completion_length": 332.875,
|
71 |
"epoch": 2.888888888888889,
|
72 |
+
"grad_norm": 0.412031352519989,
|
73 |
+
"kl": 0.0025081908679567277,
|
74 |
"learning_rate": 1.2500000000000005e-07,
|
75 |
"loss": 0.0,
|
76 |
+
"reward": 6.661080002784729,
|
77 |
+
"reward_std": 0.16880523064173758,
|
78 |
+
"rewards/concensus_correctness_reward_func": 3.2429999904707074,
|
79 |
"rewards/consensus_reward_func": 2.0,
|
80 |
"rewards/cumulative_reward_2": 0.0,
|
81 |
+
"rewards/final_correctness_reward_func": 0.5,
|
82 |
+
"rewards/question_recreation_reward_func": 0.8998925015330315,
|
83 |
"rewards/soft_format_reward_func": 0.0,
|
84 |
"rewards/strict_format_reward_func": 0.0,
|
85 |
+
"rewards/xmlcount_reward_func": 0.01818749774247408,
|
86 |
"step": 8
|
87 |
},
|
88 |
{
|
89 |
+
"completion_length": 336.8,
|
90 |
"epoch": 3.4444444444444446,
|
91 |
+
"grad_norm": 0.32939448952674866,
|
92 |
+
"kl": 0.0021914205979555847,
|
93 |
"learning_rate": 1.507684480352292e-08,
|
94 |
"loss": 0.0,
|
95 |
+
"reward": 4.9426099300384525,
|
96 |
+
"reward_std": 0.11483407691121102,
|
97 |
+
"rewards/concensus_correctness_reward_func": 1.1760000169277192,
|
98 |
"rewards/consensus_reward_func": 2.0,
|
99 |
"rewards/cumulative_reward_2": 0.0,
|
100 |
"rewards/final_correctness_reward_func": 0.8,
|
101 |
+
"rewards/question_recreation_reward_func": 0.9906099438667297,
|
102 |
"rewards/soft_format_reward_func": 0.0,
|
103 |
"rewards/strict_format_reward_func": 0.0,
|
104 |
+
"rewards/xmlcount_reward_func": -0.024000001326203346,
|
105 |
"step": 10
|
106 |
},
|
107 |
{
|
108 |
"epoch": 3.4444444444444446,
|
109 |
"step": 10,
|
110 |
"total_flos": 0.0,
|
111 |
+
"train_loss": 3.932331696887559e-06,
|
112 |
+
"train_runtime": 4767.9782,
|
113 |
+
"train_samples_per_second": 0.017,
|
114 |
"train_steps_per_second": 0.002
|
115 |
}
|
116 |
],
|