End of training
Browse files- all_results.json +4 -4
- model.safetensors +1 -1
- train_results.json +4 -4
- trainer_state.json +44 -44
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
-
"train_loss":
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 5,
|
6 |
-
"train_samples_per_second": 0.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 6.0011893765477e-06,
|
4 |
+
"train_runtime": 503.4756,
|
5 |
"train_samples": 5,
|
6 |
+
"train_samples_per_second": 0.079,
|
7 |
+
"train_steps_per_second": 0.02
|
8 |
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1976163472
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:181eba8ad9555bd9e4d1b07177e72a31c44e53743dfae606b9b7876752d6de01
|
3 |
size 1976163472
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
-
"train_loss":
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 5,
|
6 |
-
"train_samples_per_second": 0.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 6.0011893765477e-06,
|
4 |
+
"train_runtime": 503.4756,
|
5 |
"train_samples": 5,
|
6 |
+
"train_samples_per_second": 0.079,
|
7 |
+
"train_steps_per_second": 0.02
|
8 |
}
|
trainer_state.json
CHANGED
@@ -10,95 +10,95 @@
|
|
10 |
"is_world_process_zero": true,
|
11 |
"log_history": [
|
12 |
{
|
13 |
-
"completion_length":
|
14 |
"epoch": 0.8,
|
15 |
-
"grad_norm":
|
16 |
"kl": 0.0,
|
17 |
"learning_rate": 5e-07,
|
18 |
-
"loss": 0.0,
|
19 |
-
"reward":
|
20 |
-
"reward_std": 0.
|
21 |
"rewards/concensus_correctness_reward_func": 0.0,
|
22 |
"rewards/consensus_reward_func": 0.0,
|
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": 1.4,
|
34 |
-
"grad_norm":
|
35 |
-
"kl": 0.
|
36 |
"learning_rate": 4.415111107797445e-07,
|
37 |
"loss": 0.0,
|
38 |
-
"reward":
|
39 |
-
"reward_std": 0.
|
40 |
"rewards/concensus_correctness_reward_func": 0.0,
|
41 |
"rewards/consensus_reward_func": 0.0,
|
42 |
"rewards/cumulative_reward_2": 0.0,
|
43 |
-
"rewards/final_correctness_reward_func":
|
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": 0.125,
|
48 |
"step": 4
|
49 |
},
|
50 |
{
|
51 |
-
"completion_length":
|
52 |
"epoch": 2.0,
|
53 |
-
"grad_norm":
|
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": 0.0,
|
60 |
"rewards/consensus_reward_func": 0.0,
|
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": 0.
|
67 |
"step": 6
|
68 |
},
|
69 |
{
|
70 |
-
"completion_length":
|
71 |
"epoch": 2.8,
|
72 |
-
"grad_norm": 2.
|
73 |
-
"kl": 0.
|
74 |
"learning_rate": 1.2500000000000005e-07,
|
75 |
-
"loss": 0.0,
|
76 |
-
"reward": 1.
|
77 |
-
"reward_std": 0.
|
78 |
"rewards/concensus_correctness_reward_func": 0.0,
|
79 |
"rewards/consensus_reward_func": 0.0,
|
80 |
"rewards/cumulative_reward_2": 0.0,
|
81 |
-
"rewards/final_correctness_reward_func": 1.
|
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": 0.
|
86 |
"step": 8
|
87 |
},
|
88 |
{
|
89 |
-
"completion_length":
|
90 |
"epoch": 3.4,
|
91 |
-
"grad_norm":
|
92 |
-
"kl": 0.
|
93 |
"learning_rate": 1.507684480352292e-08,
|
94 |
-
"loss":
|
95 |
-
"reward":
|
96 |
-
"reward_std": 0.
|
97 |
"rewards/concensus_correctness_reward_func": 0.0,
|
98 |
"rewards/consensus_reward_func": 0.0,
|
99 |
"rewards/cumulative_reward_2": 0.0,
|
100 |
-
"rewards/final_correctness_reward_func":
|
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": 0.125,
|
@@ -108,10 +108,10 @@
|
|
108 |
"epoch": 3.4,
|
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.
|
115 |
}
|
116 |
],
|
117 |
"logging_steps": 2,
|
|
|
10 |
"is_world_process_zero": true,
|
11 |
"log_history": [
|
12 |
{
|
13 |
+
"completion_length": 83.0,
|
14 |
"epoch": 0.8,
|
15 |
+
"grad_norm": 7.9807281494140625,
|
16 |
"kl": 0.0,
|
17 |
"learning_rate": 5e-07,
|
18 |
+
"loss": -0.0,
|
19 |
+
"reward": 1.7760924957692623,
|
20 |
+
"reward_std": 0.022786720073781908,
|
21 |
"rewards/concensus_correctness_reward_func": 0.0,
|
22 |
"rewards/consensus_reward_func": 0.0,
|
23 |
"rewards/cumulative_reward_2": 0.0,
|
24 |
+
"rewards/final_correctness_reward_func": 1.5,
|
25 |
+
"rewards/question_recreation_reward_func": 0.1510925330221653,
|
26 |
"rewards/soft_format_reward_func": 0.0,
|
27 |
"rewards/strict_format_reward_func": 0.0,
|
28 |
+
"rewards/xmlcount_reward_func": 0.125,
|
29 |
"step": 2
|
30 |
},
|
31 |
{
|
32 |
+
"completion_length": 56.833333333333336,
|
33 |
"epoch": 1.4,
|
34 |
+
"grad_norm": 10.24837589263916,
|
35 |
+
"kl": 0.0015244192351625923,
|
36 |
"learning_rate": 4.415111107797445e-07,
|
37 |
"loss": 0.0,
|
38 |
+
"reward": 2.550933281580607,
|
39 |
+
"reward_std": 0.07004699483513832,
|
40 |
"rewards/concensus_correctness_reward_func": 0.0,
|
41 |
"rewards/consensus_reward_func": 0.0,
|
42 |
"rewards/cumulative_reward_2": 0.0,
|
43 |
+
"rewards/final_correctness_reward_func": 2.0,
|
44 |
+
"rewards/question_recreation_reward_func": 0.42593332131703693,
|
45 |
"rewards/soft_format_reward_func": 0.0,
|
46 |
"rewards/strict_format_reward_func": 0.0,
|
47 |
"rewards/xmlcount_reward_func": 0.125,
|
48 |
"step": 4
|
49 |
},
|
50 |
{
|
51 |
+
"completion_length": 77.66666666666667,
|
52 |
"epoch": 2.0,
|
53 |
+
"grad_norm": 6.0542120933532715,
|
54 |
+
"kl": 0.0016350069102675964,
|
55 |
"learning_rate": 2.934120444167326e-07,
|
56 |
"loss": 0.0,
|
57 |
+
"reward": 1.5878510723511379,
|
58 |
+
"reward_std": 0.0029388506275912127,
|
59 |
"rewards/concensus_correctness_reward_func": 0.0,
|
60 |
"rewards/consensus_reward_func": 0.0,
|
61 |
"rewards/cumulative_reward_2": 0.0,
|
62 |
+
"rewards/final_correctness_reward_func": 1.3333333333333333,
|
63 |
+
"rewards/question_recreation_reward_func": 0.1295176992813746,
|
64 |
"rewards/soft_format_reward_func": 0.0,
|
65 |
"rewards/strict_format_reward_func": 0.0,
|
66 |
+
"rewards/xmlcount_reward_func": 0.125,
|
67 |
"step": 6
|
68 |
},
|
69 |
{
|
70 |
+
"completion_length": 72.25,
|
71 |
"epoch": 2.8,
|
72 |
+
"grad_norm": 2.34584641456604,
|
73 |
+
"kl": 0.0029444374376907945,
|
74 |
"learning_rate": 1.2500000000000005e-07,
|
75 |
+
"loss": -0.0,
|
76 |
+
"reward": 1.8496044538915157,
|
77 |
+
"reward_std": 0.0011594545212574303,
|
78 |
"rewards/concensus_correctness_reward_func": 0.0,
|
79 |
"rewards/consensus_reward_func": 0.0,
|
80 |
"rewards/cumulative_reward_2": 0.0,
|
81 |
+
"rewards/final_correctness_reward_func": 1.5,
|
82 |
+
"rewards/question_recreation_reward_func": 0.22460449486970901,
|
83 |
"rewards/soft_format_reward_func": 0.0,
|
84 |
"rewards/strict_format_reward_func": 0.0,
|
85 |
+
"rewards/xmlcount_reward_func": 0.125,
|
86 |
"step": 8
|
87 |
},
|
88 |
{
|
89 |
+
"completion_length": 75.83333333333333,
|
90 |
"epoch": 3.4,
|
91 |
+
"grad_norm": 5.32132625579834,
|
92 |
+
"kl": 0.007413267778853576,
|
93 |
"learning_rate": 1.507684480352292e-08,
|
94 |
+
"loss": 0.0,
|
95 |
+
"reward": 1.6325677633285522,
|
96 |
+
"reward_std": 0.042186157782756105,
|
97 |
"rewards/concensus_correctness_reward_func": 0.0,
|
98 |
"rewards/consensus_reward_func": 0.0,
|
99 |
"rewards/cumulative_reward_2": 0.0,
|
100 |
+
"rewards/final_correctness_reward_func": 1.3333333333333333,
|
101 |
+
"rewards/question_recreation_reward_func": 0.17423443992932638,
|
102 |
"rewards/soft_format_reward_func": 0.0,
|
103 |
"rewards/strict_format_reward_func": 0.0,
|
104 |
"rewards/xmlcount_reward_func": 0.125,
|
|
|
108 |
"epoch": 3.4,
|
109 |
"step": 10,
|
110 |
"total_flos": 0.0,
|
111 |
+
"train_loss": 6.0011893765477e-06,
|
112 |
+
"train_runtime": 503.4756,
|
113 |
+
"train_samples_per_second": 0.079,
|
114 |
+
"train_steps_per_second": 0.02
|
115 |
}
|
116 |
],
|
117 |
"logging_steps": 2,
|