End of training
Browse files- adapter_model.safetensors +1 -1
- all_results.json +4 -4
- train_results.json +4 -4
- trainer_state.json +97 -97
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 73911112
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:20cc4efea2368117d0fb81017ca43a6c687c544d531af17f7d475db7fba2a041
|
3 |
size 73911112
|
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
-
"train_loss":
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 11,
|
6 |
-
"train_samples_per_second": 0.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 6.858845210899744e-07,
|
4 |
+
"train_runtime": 1554.7419,
|
5 |
"train_samples": 11,
|
6 |
+
"train_samples_per_second": 0.206,
|
7 |
+
"train_steps_per_second": 0.013
|
8 |
}
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
-
"train_loss":
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 11,
|
6 |
-
"train_samples_per_second": 0.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 6.858845210899744e-07,
|
4 |
+
"train_runtime": 1554.7419,
|
5 |
"train_samples": 11,
|
6 |
+
"train_samples_per_second": 0.206,
|
7 |
+
"train_steps_per_second": 0.013
|
8 |
}
|
trainer_state.json
CHANGED
@@ -10,203 +10,203 @@
|
|
10 |
"is_world_process_zero": true,
|
11 |
"log_history": [
|
12 |
{
|
13 |
-
"completion_length":
|
14 |
"epoch": 0.7272727272727273,
|
15 |
-
"grad_norm": 0.
|
16 |
-
"kl": 0.
|
17 |
"learning_rate": 5e-07,
|
18 |
"loss": 0.0,
|
19 |
-
"reward": 1.
|
20 |
-
"reward_std":
|
21 |
"rewards/concensus_correctness_reward_func": 0.0,
|
22 |
-
"rewards/consensus_reward_func": 0.
|
23 |
"rewards/cumulative_reward_2": 0.0,
|
24 |
"rewards/final_correctness_reward_func": 0.0,
|
25 |
-
"rewards/question_recreation_reward_func": 0.
|
26 |
"rewards/soft_format_reward_func": 0.0,
|
27 |
-
"rewards/strict_format_reward_func": 0.
|
28 |
-
"rewards/xmlcount_reward_func": 0.
|
29 |
"step": 2
|
30 |
},
|
31 |
{
|
32 |
-
"completion_length":
|
33 |
"epoch": 1.3636363636363638,
|
34 |
-
"grad_norm":
|
35 |
-
"kl": 0.
|
36 |
"learning_rate": 4.864543104251586e-07,
|
37 |
"loss": 0.0,
|
38 |
-
"reward": 1.
|
39 |
-
"reward_std": 1.
|
40 |
-
"rewards/concensus_correctness_reward_func": 0.
|
41 |
-
"rewards/consensus_reward_func": 0.
|
42 |
"rewards/cumulative_reward_2": 0.0,
|
43 |
"rewards/final_correctness_reward_func": 0.0,
|
44 |
-
"rewards/question_recreation_reward_func": 0.
|
45 |
"rewards/soft_format_reward_func": 0.0,
|
46 |
-
"rewards/strict_format_reward_func": 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": 4.472851273490984e-07,
|
56 |
"loss": 0.0,
|
57 |
-
"reward": 1.
|
58 |
-
"reward_std":
|
59 |
-
"rewards/concensus_correctness_reward_func": 0.
|
60 |
-
"rewards/consensus_reward_func": 0.
|
61 |
"rewards/cumulative_reward_2": 0.0,
|
62 |
"rewards/final_correctness_reward_func": 0.0,
|
63 |
-
"rewards/question_recreation_reward_func": 0.
|
64 |
"rewards/soft_format_reward_func": 0.0,
|
65 |
-
"rewards/strict_format_reward_func": 0.
|
66 |
-
"rewards/xmlcount_reward_func": 0.
|
67 |
"step": 6
|
68 |
},
|
69 |
{
|
70 |
-
"completion_length":
|
71 |
"epoch": 2.7272727272727275,
|
72 |
-
"grad_norm": 0.
|
73 |
-
"kl": 0.
|
74 |
"learning_rate": 3.867370395306068e-07,
|
75 |
"loss": 0.0,
|
76 |
-
"reward": 1.
|
77 |
-
"reward_std":
|
78 |
-
"rewards/concensus_correctness_reward_func": 0.
|
79 |
-
"rewards/consensus_reward_func": 0.
|
80 |
"rewards/cumulative_reward_2": 0.0,
|
81 |
"rewards/final_correctness_reward_func": 0.0,
|
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": 0.
|
86 |
"step": 8
|
87 |
},
|
88 |
{
|
89 |
-
"completion_length":
|
90 |
"epoch": 3.3636363636363638,
|
91 |
-
"grad_norm": 0.
|
92 |
-
"kl": 0.
|
93 |
"learning_rate": 3.1137137178519977e-07,
|
94 |
"loss": 0.0,
|
95 |
-
"reward":
|
96 |
-
"reward_std":
|
97 |
-
"rewards/concensus_correctness_reward_func": 0.
|
98 |
-
"rewards/consensus_reward_func": 0.
|
99 |
"rewards/cumulative_reward_2": 0.0,
|
100 |
"rewards/final_correctness_reward_func": 0.0,
|
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":
|
105 |
"step": 10
|
106 |
},
|
107 |
{
|
108 |
-
"completion_length":
|
109 |
"epoch": 4.0,
|
110 |
-
"grad_norm": 0.
|
111 |
-
"kl": 0.
|
112 |
"learning_rate": 2.2935516363191693e-07,
|
113 |
"loss": 0.0,
|
114 |
-
"reward":
|
115 |
-
"reward_std":
|
116 |
-
"rewards/concensus_correctness_reward_func": 0.
|
117 |
"rewards/consensus_reward_func": 0.35714285714285715,
|
118 |
"rewards/cumulative_reward_2": 0.0,
|
119 |
"rewards/final_correctness_reward_func": 0.0,
|
120 |
-
"rewards/question_recreation_reward_func": 0.
|
121 |
"rewards/soft_format_reward_func": 0.0,
|
122 |
"rewards/strict_format_reward_func": 0.017857142857142856,
|
123 |
-
"rewards/xmlcount_reward_func": 0.
|
124 |
"step": 12
|
125 |
},
|
126 |
{
|
127 |
-
"completion_length":
|
128 |
"epoch": 4.7272727272727275,
|
129 |
-
"grad_norm": 0.
|
130 |
-
"kl": 0.
|
131 |
"learning_rate": 1.4957614383675767e-07,
|
132 |
"loss": 0.0,
|
133 |
-
"reward": 0.
|
134 |
-
"reward_std": 0.
|
135 |
"rewards/concensus_correctness_reward_func": 0.0,
|
136 |
-
"rewards/consensus_reward_func": 0.
|
137 |
"rewards/cumulative_reward_2": 0.0,
|
138 |
"rewards/final_correctness_reward_func": 0.0,
|
139 |
-
"rewards/question_recreation_reward_func": 0.
|
140 |
-
"rewards/soft_format_reward_func": 0.
|
141 |
-
"rewards/strict_format_reward_func": 0.
|
142 |
-
"rewards/xmlcount_reward_func": 0.
|
143 |
"step": 14
|
144 |
},
|
145 |
{
|
146 |
-
"completion_length":
|
147 |
"epoch": 5.363636363636363,
|
148 |
-
"grad_norm": 0.
|
149 |
-
"kl": 0.
|
150 |
"learning_rate": 8.067960709356478e-08,
|
151 |
"loss": 0.0,
|
152 |
-
"reward": 0.
|
153 |
-
"reward_std":
|
154 |
-
"rewards/concensus_correctness_reward_func": 0.
|
155 |
-
"rewards/consensus_reward_func": 0.
|
156 |
"rewards/cumulative_reward_2": 0.0,
|
157 |
"rewards/final_correctness_reward_func": 0.0,
|
158 |
-
"rewards/question_recreation_reward_func": 0.
|
159 |
"rewards/soft_format_reward_func": 0.0,
|
160 |
"rewards/strict_format_reward_func": 0.017857142857142856,
|
161 |
-
"rewards/xmlcount_reward_func": 0.
|
162 |
"step": 16
|
163 |
},
|
164 |
{
|
165 |
-
"completion_length":
|
166 |
"epoch": 6.0,
|
167 |
-
"grad_norm":
|
168 |
-
"kl": 0.
|
169 |
"learning_rate": 3.013156219837776e-08,
|
170 |
"loss": 0.0,
|
171 |
-
"reward":
|
172 |
-
"reward_std": 1.
|
173 |
-
"rewards/concensus_correctness_reward_func": 0.
|
174 |
-
"rewards/consensus_reward_func": 0.
|
175 |
"rewards/cumulative_reward_2": 0.0,
|
176 |
"rewards/final_correctness_reward_func": 0.0,
|
177 |
-
"rewards/question_recreation_reward_func": 0.
|
178 |
-
"rewards/soft_format_reward_func": 0.
|
179 |
"rewards/strict_format_reward_func": 0.0,
|
180 |
-
"rewards/xmlcount_reward_func":
|
181 |
"step": 18
|
182 |
},
|
183 |
{
|
184 |
-
"completion_length":
|
185 |
"epoch": 6.7272727272727275,
|
186 |
-
"grad_norm": 0.
|
187 |
-
"kl": 0.
|
188 |
"learning_rate": 3.4096741493194193e-09,
|
189 |
"loss": 0.0,
|
190 |
-
"reward": 0.
|
191 |
-
"reward_std": 1.
|
192 |
-
"rewards/concensus_correctness_reward_func": 0.
|
193 |
-
"rewards/consensus_reward_func": 0.
|
194 |
"rewards/cumulative_reward_2": 0.0,
|
195 |
"rewards/final_correctness_reward_func": 0.0,
|
196 |
-
"rewards/question_recreation_reward_func": 0.
|
197 |
"rewards/soft_format_reward_func": 0.0,
|
198 |
"rewards/strict_format_reward_func": 0.015625,
|
199 |
-
"rewards/xmlcount_reward_func": 0.
|
200 |
"step": 20
|
201 |
},
|
202 |
{
|
203 |
"epoch": 6.7272727272727275,
|
204 |
"step": 20,
|
205 |
"total_flos": 0.0,
|
206 |
-
"train_loss":
|
207 |
-
"train_runtime":
|
208 |
-
"train_samples_per_second": 0.
|
209 |
-
"train_steps_per_second": 0.
|
210 |
}
|
211 |
],
|
212 |
"logging_steps": 2,
|
|
|
10 |
"is_world_process_zero": true,
|
11 |
"log_history": [
|
12 |
{
|
13 |
+
"completion_length": 623.125,
|
14 |
"epoch": 0.7272727272727273,
|
15 |
+
"grad_norm": 0.32927563786506653,
|
16 |
+
"kl": 0.000674516981234774,
|
17 |
"learning_rate": 5e-07,
|
18 |
"loss": 0.0,
|
19 |
+
"reward": 1.1585224606096745,
|
20 |
+
"reward_std": 0.9561215024441481,
|
21 |
"rewards/concensus_correctness_reward_func": 0.0,
|
22 |
+
"rewards/consensus_reward_func": 0.3125,
|
23 |
"rewards/cumulative_reward_2": 0.0,
|
24 |
"rewards/final_correctness_reward_func": 0.0,
|
25 |
+
"rewards/question_recreation_reward_func": 0.5204599518328905,
|
26 |
"rewards/soft_format_reward_func": 0.0,
|
27 |
+
"rewards/strict_format_reward_func": 0.015625,
|
28 |
+
"rewards/xmlcount_reward_func": 0.3099374994635582,
|
29 |
"step": 2
|
30 |
},
|
31 |
{
|
32 |
+
"completion_length": 520.5,
|
33 |
"epoch": 1.3636363636363638,
|
34 |
+
"grad_norm": 0.3128676414489746,
|
35 |
+
"kl": 0.0007332045352086425,
|
36 |
"learning_rate": 4.864543104251586e-07,
|
37 |
"loss": 0.0,
|
38 |
+
"reward": 1.1351948188883918,
|
39 |
+
"reward_std": 1.0649667382240295,
|
40 |
+
"rewards/concensus_correctness_reward_func": 0.13371428421565465,
|
41 |
+
"rewards/consensus_reward_func": 0.2857142857142857,
|
42 |
"rewards/cumulative_reward_2": 0.0,
|
43 |
"rewards/final_correctness_reward_func": 0.0,
|
44 |
+
"rewards/question_recreation_reward_func": 0.42790913581848145,
|
45 |
"rewards/soft_format_reward_func": 0.0,
|
46 |
+
"rewards/strict_format_reward_func": 0.0,
|
47 |
+
"rewards/xmlcount_reward_func": 0.2878571344273431,
|
48 |
"step": 4
|
49 |
},
|
50 |
{
|
51 |
+
"completion_length": 471.5357142857143,
|
52 |
"epoch": 2.0,
|
53 |
+
"grad_norm": 0.264969140291214,
|
54 |
+
"kl": 0.0008832713855164391,
|
55 |
"learning_rate": 4.472851273490984e-07,
|
56 |
"loss": 0.0,
|
57 |
+
"reward": 1.169303366116115,
|
58 |
+
"reward_std": 1.1275735369750433,
|
59 |
+
"rewards/concensus_correctness_reward_func": 0.01257142876940114,
|
60 |
+
"rewards/consensus_reward_func": 0.35714285714285715,
|
61 |
"rewards/cumulative_reward_2": 0.0,
|
62 |
"rewards/final_correctness_reward_func": 0.0,
|
63 |
+
"rewards/question_recreation_reward_func": 0.45005333849361967,
|
64 |
"rewards/soft_format_reward_func": 0.0,
|
65 |
+
"rewards/strict_format_reward_func": 0.03571428571428571,
|
66 |
+
"rewards/xmlcount_reward_func": 0.31382142433098387,
|
67 |
"step": 6
|
68 |
},
|
69 |
{
|
70 |
+
"completion_length": 568.5625,
|
71 |
"epoch": 2.7272727272727275,
|
72 |
+
"grad_norm": 0.3894009292125702,
|
73 |
+
"kl": 0.0007739260036032647,
|
74 |
"learning_rate": 3.867370395306068e-07,
|
75 |
"loss": 0.0,
|
76 |
+
"reward": 1.2243245132267475,
|
77 |
+
"reward_std": 1.0291738770902157,
|
78 |
+
"rewards/concensus_correctness_reward_func": 0.04325000080280006,
|
79 |
+
"rewards/consensus_reward_func": 0.5,
|
80 |
"rewards/cumulative_reward_2": 0.0,
|
81 |
"rewards/final_correctness_reward_func": 0.0,
|
82 |
+
"rewards/question_recreation_reward_func": 0.6076369620859623,
|
83 |
"rewards/soft_format_reward_func": 0.0,
|
84 |
"rewards/strict_format_reward_func": 0.0,
|
85 |
+
"rewards/xmlcount_reward_func": 0.07343750260770321,
|
86 |
"step": 8
|
87 |
},
|
88 |
{
|
89 |
+
"completion_length": 394.0,
|
90 |
"epoch": 3.3636363636363638,
|
91 |
+
"grad_norm": 0.38925281167030334,
|
92 |
+
"kl": 0.000897788758655744,
|
93 |
"learning_rate": 3.1137137178519977e-07,
|
94 |
"loss": 0.0,
|
95 |
+
"reward": 1.0290327072143555,
|
96 |
+
"reward_std": 0.7650471691574369,
|
97 |
+
"rewards/concensus_correctness_reward_func": 0.07557142792003495,
|
98 |
+
"rewards/consensus_reward_func": 0.21428571428571427,
|
99 |
"rewards/cumulative_reward_2": 0.0,
|
100 |
"rewards/final_correctness_reward_func": 0.0,
|
101 |
+
"rewards/question_recreation_reward_func": 0.3865684462445123,
|
102 |
"rewards/soft_format_reward_func": 0.0,
|
103 |
"rewards/strict_format_reward_func": 0.0,
|
104 |
+
"rewards/xmlcount_reward_func": 0.352607151227338,
|
105 |
"step": 10
|
106 |
},
|
107 |
{
|
108 |
+
"completion_length": 670.1785714285714,
|
109 |
"epoch": 4.0,
|
110 |
+
"grad_norm": 0.22875076532363892,
|
111 |
+
"kl": 0.0007112990549233343,
|
112 |
"learning_rate": 2.2935516363191693e-07,
|
113 |
"loss": 0.0,
|
114 |
+
"reward": 1.2564320734569006,
|
115 |
+
"reward_std": 1.069840439728328,
|
116 |
+
"rewards/concensus_correctness_reward_func": 0.0,
|
117 |
"rewards/consensus_reward_func": 0.35714285714285715,
|
118 |
"rewards/cumulative_reward_2": 0.0,
|
119 |
"rewards/final_correctness_reward_func": 0.0,
|
120 |
+
"rewards/question_recreation_reward_func": 0.5129677695887429,
|
121 |
"rewards/soft_format_reward_func": 0.0,
|
122 |
"rewards/strict_format_reward_func": 0.017857142857142856,
|
123 |
+
"rewards/xmlcount_reward_func": 0.3684642847095217,
|
124 |
"step": 12
|
125 |
},
|
126 |
{
|
127 |
+
"completion_length": 557.75,
|
128 |
"epoch": 4.7272727272727275,
|
129 |
+
"grad_norm": 0.4749363660812378,
|
130 |
+
"kl": 0.0007068660997902043,
|
131 |
"learning_rate": 1.4957614383675767e-07,
|
132 |
"loss": 0.0,
|
133 |
+
"reward": 0.6339508574455976,
|
134 |
+
"reward_std": 0.9481349308043718,
|
135 |
"rewards/concensus_correctness_reward_func": 0.0,
|
136 |
+
"rewards/consensus_reward_func": 0.0625,
|
137 |
"rewards/cumulative_reward_2": 0.0,
|
138 |
"rewards/final_correctness_reward_func": 0.0,
|
139 |
+
"rewards/question_recreation_reward_func": 0.42854462005198,
|
140 |
+
"rewards/soft_format_reward_func": 0.0,
|
141 |
+
"rewards/strict_format_reward_func": 0.0,
|
142 |
+
"rewards/xmlcount_reward_func": 0.14290626347064972,
|
143 |
"step": 14
|
144 |
},
|
145 |
{
|
146 |
+
"completion_length": 553.4642857142857,
|
147 |
"epoch": 5.363636363636363,
|
148 |
+
"grad_norm": 0.41309165954589844,
|
149 |
+
"kl": 0.0006724515198064702,
|
150 |
"learning_rate": 8.067960709356478e-08,
|
151 |
"loss": 0.0,
|
152 |
+
"reward": 0.9500248410872051,
|
153 |
+
"reward_std": 1.3247052260807581,
|
154 |
+
"rewards/concensus_correctness_reward_func": 0.0455714293888637,
|
155 |
+
"rewards/consensus_reward_func": 0.2857142857142857,
|
156 |
"rewards/cumulative_reward_2": 0.0,
|
157 |
"rewards/final_correctness_reward_func": 0.0,
|
158 |
+
"rewards/question_recreation_reward_func": 0.5669177089418683,
|
159 |
"rewards/soft_format_reward_func": 0.0,
|
160 |
"rewards/strict_format_reward_func": 0.017857142857142856,
|
161 |
+
"rewards/xmlcount_reward_func": 0.03396429760115487,
|
162 |
"step": 16
|
163 |
},
|
164 |
{
|
165 |
+
"completion_length": 577.5,
|
166 |
"epoch": 6.0,
|
167 |
+
"grad_norm": 0.3813837468624115,
|
168 |
+
"kl": 0.0007483729610352644,
|
169 |
"learning_rate": 3.013156219837776e-08,
|
170 |
"loss": 0.0,
|
171 |
+
"reward": 1.689372181892395,
|
172 |
+
"reward_std": 1.2251285059111459,
|
173 |
+
"rewards/concensus_correctness_reward_func": 0.07892857092831816,
|
174 |
+
"rewards/consensus_reward_func": 0.6428571428571429,
|
175 |
"rewards/cumulative_reward_2": 0.0,
|
176 |
"rewards/final_correctness_reward_func": 0.0,
|
177 |
+
"rewards/question_recreation_reward_func": 0.6059436116899762,
|
178 |
+
"rewards/soft_format_reward_func": 0.017857142857142856,
|
179 |
"rewards/strict_format_reward_func": 0.0,
|
180 |
+
"rewards/xmlcount_reward_func": 0.34378572021211895,
|
181 |
"step": 18
|
182 |
},
|
183 |
{
|
184 |
+
"completion_length": 532.96875,
|
185 |
"epoch": 6.7272727272727275,
|
186 |
+
"grad_norm": 0.3846774399280548,
|
187 |
+
"kl": 0.0007266555148817133,
|
188 |
"learning_rate": 3.4096741493194193e-09,
|
189 |
"loss": 0.0,
|
190 |
+
"reward": 0.9871923327445984,
|
191 |
+
"reward_std": 1.0693884268403053,
|
192 |
+
"rewards/concensus_correctness_reward_func": 0.047500000800937414,
|
193 |
+
"rewards/consensus_reward_func": 0.3125,
|
194 |
"rewards/cumulative_reward_2": 0.0,
|
195 |
"rewards/final_correctness_reward_func": 0.0,
|
196 |
+
"rewards/question_recreation_reward_func": 0.4166611051186919,
|
197 |
"rewards/soft_format_reward_func": 0.0,
|
198 |
"rewards/strict_format_reward_func": 0.015625,
|
199 |
+
"rewards/xmlcount_reward_func": 0.19490626268088818,
|
200 |
"step": 20
|
201 |
},
|
202 |
{
|
203 |
"epoch": 6.7272727272727275,
|
204 |
"step": 20,
|
205 |
"total_flos": 0.0,
|
206 |
+
"train_loss": 6.858845210899744e-07,
|
207 |
+
"train_runtime": 1554.7419,
|
208 |
+
"train_samples_per_second": 0.206,
|
209 |
+
"train_steps_per_second": 0.013
|
210 |
}
|
211 |
],
|
212 |
"logging_steps": 2,
|