End of training
Browse files- all_results.json +4 -4
- model.safetensors +1 -1
- train_results.json +4 -4
- trainer_state.json +119 -119
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 28,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 0.0014741608130862005,
|
4 |
+
"train_runtime": 143.5727,
|
5 |
"train_samples": 28,
|
6 |
+
"train_samples_per_second": 2.229,
|
7 |
+
"train_steps_per_second": 0.139
|
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:fb53acbd6f3e84dbb8f349a179e0aa331f58df2e36407978880c793ecaacb2f9
|
3 |
size 1976163472
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 28,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 0.0014741608130862005,
|
4 |
+
"train_runtime": 143.5727,
|
5 |
"train_samples": 28,
|
6 |
+
"train_samples_per_second": 2.229,
|
7 |
+
"train_steps_per_second": 0.139
|
8 |
}
|
trainer_state.json
CHANGED
@@ -10,203 +10,203 @@
|
|
10 |
"is_world_process_zero": true,
|
11 |
"log_history": [
|
12 |
{
|
13 |
-
"completion_length":
|
14 |
"epoch": 0.5714285714285714,
|
15 |
-
"grad_norm":
|
16 |
"kl": 0.0,
|
17 |
"learning_rate": 5e-07,
|
18 |
"loss": -0.0,
|
19 |
-
"reward":
|
20 |
-
"reward_std":
|
21 |
-
"rewards/concensus_correctness_reward_func": 0.
|
22 |
-
"rewards/consensus_reward_func": 0.
|
23 |
"rewards/cumulative_reward_2": 0.0,
|
24 |
-
"rewards/final_correctness_reward_func": 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": 1.0,
|
34 |
-
"grad_norm":
|
35 |
-
"kl": 0.
|
36 |
"learning_rate": 4.864543104251586e-07,
|
37 |
-
"loss":
|
38 |
-
"reward": 3.
|
39 |
-
"reward_std":
|
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.
|
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": 1.
|
48 |
"step": 4
|
49 |
},
|
50 |
{
|
51 |
-
"completion_length":
|
52 |
"epoch": 1.5714285714285714,
|
53 |
-
"grad_norm":
|
54 |
-
"kl": 0.
|
55 |
"learning_rate": 4.472851273490984e-07,
|
56 |
"loss": 0.0,
|
57 |
-
"reward":
|
58 |
-
"reward_std":
|
59 |
-
"rewards/concensus_correctness_reward_func":
|
60 |
-
"rewards/consensus_reward_func": 0.
|
61 |
"rewards/cumulative_reward_2": 0.0,
|
62 |
-
"rewards/final_correctness_reward_func": 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": 1.
|
67 |
"step": 6
|
68 |
},
|
69 |
{
|
70 |
-
"completion_length":
|
71 |
"epoch": 2.0,
|
72 |
-
"grad_norm": 9.
|
73 |
-
"kl": 0.
|
74 |
"learning_rate": 3.867370395306068e-07,
|
75 |
-
"loss": 0.
|
76 |
-
"reward": 4.
|
77 |
-
"reward_std": 1.
|
78 |
-
"rewards/concensus_correctness_reward_func":
|
79 |
-
"rewards/consensus_reward_func": 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.
|
85 |
-
"rewards/xmlcount_reward_func": 1.
|
86 |
"step": 8
|
87 |
},
|
88 |
{
|
89 |
-
"completion_length":
|
90 |
"epoch": 2.571428571428571,
|
91 |
-
"grad_norm":
|
92 |
-
"kl": 0.
|
93 |
"learning_rate": 3.1137137178519977e-07,
|
94 |
-
"loss": 0.
|
95 |
-
"reward": 3.
|
96 |
-
"reward_std": 1.
|
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": 0.1875,
|
101 |
-
"rewards/question_recreation_reward_func": 0.
|
102 |
"rewards/soft_format_reward_func": 0.0,
|
103 |
-
"rewards/strict_format_reward_func": 0.
|
104 |
-
"rewards/xmlcount_reward_func": 1.
|
105 |
"step": 10
|
106 |
},
|
107 |
{
|
108 |
-
"completion_length":
|
109 |
"epoch": 3.0,
|
110 |
-
"grad_norm":
|
111 |
-
"kl":
|
112 |
"learning_rate": 2.2935516363191693e-07,
|
113 |
-
"loss": 0.
|
114 |
-
"reward": 4.
|
115 |
-
"reward_std":
|
116 |
-
"rewards/concensus_correctness_reward_func":
|
117 |
-
"rewards/consensus_reward_func":
|
118 |
"rewards/cumulative_reward_2": 0.0,
|
119 |
-
"rewards/final_correctness_reward_func": 0.
|
120 |
-
"rewards/question_recreation_reward_func": 0.
|
121 |
"rewards/soft_format_reward_func": 0.0,
|
122 |
-
"rewards/strict_format_reward_func": 0.
|
123 |
-
"rewards/xmlcount_reward_func": 1.
|
124 |
"step": 12
|
125 |
},
|
126 |
{
|
127 |
-
"completion_length":
|
128 |
"epoch": 3.571428571428571,
|
129 |
-
"grad_norm":
|
130 |
-
"kl":
|
131 |
"learning_rate": 1.4957614383675767e-07,
|
132 |
-
"loss": 0.
|
133 |
-
"reward":
|
134 |
-
"reward_std":
|
135 |
-
"rewards/concensus_correctness_reward_func":
|
136 |
-
"rewards/consensus_reward_func":
|
137 |
"rewards/cumulative_reward_2": 0.0,
|
138 |
-
"rewards/final_correctness_reward_func": 0.
|
139 |
-
"rewards/question_recreation_reward_func": 0.
|
140 |
"rewards/soft_format_reward_func": 0.0,
|
141 |
-
"rewards/strict_format_reward_func": 0.
|
142 |
-
"rewards/xmlcount_reward_func": 1.
|
143 |
"step": 14
|
144 |
},
|
145 |
{
|
146 |
-
"completion_length":
|
147 |
"epoch": 4.0,
|
148 |
-
"grad_norm":
|
149 |
-
"kl":
|
150 |
"learning_rate": 8.067960709356478e-08,
|
151 |
-
"loss": 0.
|
152 |
-
"reward": 3.
|
153 |
-
"reward_std": 1.
|
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": 0.16666666666666666,
|
158 |
-
"rewards/question_recreation_reward_func": 0.
|
159 |
"rewards/soft_format_reward_func": 0.0,
|
160 |
-
"rewards/strict_format_reward_func": 0.
|
161 |
-
"rewards/xmlcount_reward_func": 1.
|
162 |
"step": 16
|
163 |
},
|
164 |
{
|
165 |
-
"completion_length":
|
166 |
"epoch": 4.571428571428571,
|
167 |
-
"grad_norm":
|
168 |
-
"kl": 0.
|
169 |
"learning_rate": 3.013156219837776e-08,
|
170 |
-
"loss": 0.
|
171 |
-
"reward": 3.
|
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.
|
177 |
-
"rewards/question_recreation_reward_func": 0.
|
178 |
"rewards/soft_format_reward_func": 0.0,
|
179 |
-
"rewards/strict_format_reward_func": 0.
|
180 |
-
"rewards/xmlcount_reward_func": 1.
|
181 |
"step": 18
|
182 |
},
|
183 |
{
|
184 |
-
"completion_length":
|
185 |
"epoch": 5.0,
|
186 |
-
"grad_norm": 7.
|
187 |
-
"kl": 0.
|
188 |
"learning_rate": 3.4096741493194193e-09,
|
189 |
-
"loss": 0.
|
190 |
-
"reward":
|
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.
|
196 |
-
"rewards/question_recreation_reward_func": 0.
|
197 |
"rewards/soft_format_reward_func": 0.0,
|
198 |
-
"rewards/strict_format_reward_func": 0.
|
199 |
-
"rewards/xmlcount_reward_func": 1.
|
200 |
"step": 20
|
201 |
},
|
202 |
{
|
203 |
"epoch": 5.0,
|
204 |
"step": 20,
|
205 |
"total_flos": 0.0,
|
206 |
-
"train_loss": 0.
|
207 |
-
"train_runtime":
|
208 |
-
"train_samples_per_second":
|
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": 221.9375,
|
14 |
"epoch": 0.5714285714285714,
|
15 |
+
"grad_norm": 9.694320678710938,
|
16 |
"kl": 0.0,
|
17 |
"learning_rate": 5e-07,
|
18 |
"loss": -0.0,
|
19 |
+
"reward": 2.8578853271901608,
|
20 |
+
"reward_std": 1.0625475882552564,
|
21 |
+
"rewards/concensus_correctness_reward_func": 0.5570000037550926,
|
22 |
+
"rewards/consensus_reward_func": 0.6875,
|
23 |
"rewards/cumulative_reward_2": 0.0,
|
24 |
+
"rewards/final_correctness_reward_func": 0.0625,
|
25 |
+
"rewards/question_recreation_reward_func": 0.6873852936550975,
|
26 |
"rewards/soft_format_reward_func": 0.0,
|
27 |
+
"rewards/strict_format_reward_func": 0.109375,
|
28 |
+
"rewards/xmlcount_reward_func": 0.7541250037029386,
|
29 |
"step": 2
|
30 |
},
|
31 |
{
|
32 |
+
"completion_length": 136.83333333333334,
|
33 |
"epoch": 1.0,
|
34 |
+
"grad_norm": 5.852896690368652,
|
35 |
+
"kl": 0.0063058519347881275,
|
36 |
"learning_rate": 4.864543104251586e-07,
|
37 |
+
"loss": 0.0,
|
38 |
+
"reward": 3.7386062343915305,
|
39 |
+
"reward_std": 1.4028123530248802,
|
40 |
+
"rewards/concensus_correctness_reward_func": 0.70066666106383,
|
41 |
+
"rewards/consensus_reward_func": 0.6666666666666666,
|
42 |
"rewards/cumulative_reward_2": 0.0,
|
43 |
+
"rewards/final_correctness_reward_func": 0.16666666666666666,
|
44 |
+
"rewards/question_recreation_reward_func": 0.6852311789989471,
|
45 |
"rewards/soft_format_reward_func": 0.0,
|
46 |
+
"rewards/strict_format_reward_func": 0.3333333333333333,
|
47 |
+
"rewards/xmlcount_reward_func": 1.1860416730244954,
|
48 |
"step": 4
|
49 |
},
|
50 |
{
|
51 |
+
"completion_length": 146.78125,
|
52 |
"epoch": 1.5714285714285714,
|
53 |
+
"grad_norm": 10.775361061096191,
|
54 |
+
"kl": 0.022688565848511644,
|
55 |
"learning_rate": 4.472851273490984e-07,
|
56 |
"loss": 0.0,
|
57 |
+
"reward": 4.566311419010162,
|
58 |
+
"reward_std": 1.5661333670868771,
|
59 |
+
"rewards/concensus_correctness_reward_func": 1.4004999957978725,
|
60 |
+
"rewards/consensus_reward_func": 0.9375,
|
61 |
"rewards/cumulative_reward_2": 0.0,
|
62 |
+
"rewards/final_correctness_reward_func": 0.0625,
|
63 |
+
"rewards/question_recreation_reward_func": 0.7594364183023572,
|
64 |
"rewards/soft_format_reward_func": 0.0,
|
65 |
+
"rewards/strict_format_reward_func": 0.234375,
|
66 |
+
"rewards/xmlcount_reward_func": 1.1719999946653843,
|
67 |
"step": 6
|
68 |
},
|
69 |
{
|
70 |
+
"completion_length": 142.91666666666666,
|
71 |
"epoch": 2.0,
|
72 |
+
"grad_norm": 9.037089347839355,
|
73 |
+
"kl": 0.31922435003798455,
|
74 |
"learning_rate": 3.867370395306068e-07,
|
75 |
+
"loss": 0.0002,
|
76 |
+
"reward": 4.1081428329149885,
|
77 |
+
"reward_std": 1.029661375455665,
|
78 |
+
"rewards/concensus_correctness_reward_func": 0.7650833452741305,
|
79 |
+
"rewards/consensus_reward_func": 0.9166666666666666,
|
80 |
"rewards/cumulative_reward_2": 0.0,
|
81 |
+
"rewards/final_correctness_reward_func": 0.25,
|
82 |
+
"rewards/question_recreation_reward_func": 0.6767677310854197,
|
83 |
"rewards/soft_format_reward_func": 0.0,
|
84 |
+
"rewards/strict_format_reward_func": 0.3125,
|
85 |
+
"rewards/xmlcount_reward_func": 1.1871250073115032,
|
86 |
"step": 8
|
87 |
},
|
88 |
{
|
89 |
+
"completion_length": 143.09375,
|
90 |
"epoch": 2.571428571428571,
|
91 |
+
"grad_norm": 11.110583305358887,
|
92 |
+
"kl": 0.5744109276565723,
|
93 |
"learning_rate": 3.1137137178519977e-07,
|
94 |
+
"loss": 0.0006,
|
95 |
+
"reward": 3.682307220995426,
|
96 |
+
"reward_std": 1.1703917261911556,
|
97 |
+
"rewards/concensus_correctness_reward_func": 0.7889375016093254,
|
98 |
+
"rewards/consensus_reward_func": 0.75,
|
99 |
"rewards/cumulative_reward_2": 0.0,
|
100 |
"rewards/final_correctness_reward_func": 0.1875,
|
101 |
+
"rewards/question_recreation_reward_func": 0.6156822107732296,
|
102 |
"rewards/soft_format_reward_func": 0.0,
|
103 |
+
"rewards/strict_format_reward_func": 0.234375,
|
104 |
+
"rewards/xmlcount_reward_func": 1.1058125048875809,
|
105 |
"step": 10
|
106 |
},
|
107 |
{
|
108 |
+
"completion_length": 136.41666666666666,
|
109 |
"epoch": 3.0,
|
110 |
+
"grad_norm": 5.076348304748535,
|
111 |
+
"kl": 2.3429599769879133,
|
112 |
"learning_rate": 2.2935516363191693e-07,
|
113 |
+
"loss": 0.0018,
|
114 |
+
"reward": 4.40448385477066,
|
115 |
+
"reward_std": 1.6560175865888596,
|
116 |
+
"rewards/concensus_correctness_reward_func": 0.8267500052849451,
|
117 |
+
"rewards/consensus_reward_func": 1.1666666666666667,
|
118 |
"rewards/cumulative_reward_2": 0.0,
|
119 |
+
"rewards/final_correctness_reward_func": 0.08333333333333333,
|
120 |
+
"rewards/question_recreation_reward_func": 0.8022754968454441,
|
121 |
"rewards/soft_format_reward_func": 0.0,
|
122 |
+
"rewards/strict_format_reward_func": 0.3125,
|
123 |
+
"rewards/xmlcount_reward_func": 1.2129583358764648,
|
124 |
"step": 12
|
125 |
},
|
126 |
{
|
127 |
+
"completion_length": 169.6875,
|
128 |
"epoch": 3.571428571428571,
|
129 |
+
"grad_norm": 8.082115173339844,
|
130 |
+
"kl": 7.364466468396131,
|
131 |
"learning_rate": 1.4957614383675767e-07,
|
132 |
+
"loss": 0.0074,
|
133 |
+
"reward": 4.209167793393135,
|
134 |
+
"reward_std": 1.530743383220397,
|
135 |
+
"rewards/concensus_correctness_reward_func": 0.805249996483326,
|
136 |
+
"rewards/consensus_reward_func": 1.0625,
|
137 |
"rewards/cumulative_reward_2": 0.0,
|
138 |
+
"rewards/final_correctness_reward_func": 0.1875,
|
139 |
+
"rewards/question_recreation_reward_func": 0.6893240767531097,
|
140 |
"rewards/soft_format_reward_func": 0.0,
|
141 |
+
"rewards/strict_format_reward_func": 0.296875,
|
142 |
+
"rewards/xmlcount_reward_func": 1.1677187494933605,
|
143 |
"step": 14
|
144 |
},
|
145 |
{
|
146 |
+
"completion_length": 151.83333333333334,
|
147 |
"epoch": 4.0,
|
148 |
+
"grad_norm": 23.623441696166992,
|
149 |
+
"kl": 5.0384774438571185,
|
150 |
"learning_rate": 8.067960709356478e-08,
|
151 |
+
"loss": 0.0038,
|
152 |
+
"reward": 3.1199777324994407,
|
153 |
+
"reward_std": 1.2431689854711294,
|
154 |
+
"rewards/concensus_correctness_reward_func": 0.32775000234444934,
|
155 |
+
"rewards/consensus_reward_func": 0.4166666666666667,
|
156 |
"rewards/cumulative_reward_2": 0.0,
|
157 |
"rewards/final_correctness_reward_func": 0.16666666666666666,
|
158 |
+
"rewards/question_recreation_reward_func": 0.714102791932722,
|
159 |
"rewards/soft_format_reward_func": 0.0,
|
160 |
+
"rewards/strict_format_reward_func": 0.3125,
|
161 |
+
"rewards/xmlcount_reward_func": 1.1822916666666667,
|
162 |
"step": 16
|
163 |
},
|
164 |
{
|
165 |
+
"completion_length": 202.25,
|
166 |
"epoch": 4.571428571428571,
|
167 |
+
"grad_norm": 9.800145149230957,
|
168 |
+
"kl": 0.6018333853571676,
|
169 |
"learning_rate": 3.013156219837776e-08,
|
170 |
+
"loss": 0.0006,
|
171 |
+
"reward": 3.698561042547226,
|
172 |
+
"reward_std": 1.2764807561179623,
|
173 |
+
"rewards/concensus_correctness_reward_func": 0.6848750058561563,
|
174 |
+
"rewards/consensus_reward_func": 0.9375,
|
175 |
"rewards/cumulative_reward_2": 0.0,
|
176 |
+
"rewards/final_correctness_reward_func": 0.0625,
|
177 |
+
"rewards/question_recreation_reward_func": 0.7144985762424767,
|
178 |
"rewards/soft_format_reward_func": 0.0,
|
179 |
+
"rewards/strict_format_reward_func": 0.203125,
|
180 |
+
"rewards/xmlcount_reward_func": 1.096062496304512,
|
181 |
"step": 18
|
182 |
},
|
183 |
{
|
184 |
+
"completion_length": 162.91666666666666,
|
185 |
"epoch": 5.0,
|
186 |
+
"grad_norm": 7.49417781829834,
|
187 |
+
"kl": 0.5289312032206605,
|
188 |
"learning_rate": 3.4096741493194193e-09,
|
189 |
+
"loss": 0.0004,
|
190 |
+
"reward": 4.249745080868403,
|
191 |
+
"reward_std": 1.1143968345907826,
|
192 |
+
"rewards/concensus_correctness_reward_func": 0.8489166696866354,
|
193 |
+
"rewards/consensus_reward_func": 1.0,
|
194 |
"rewards/cumulative_reward_2": 0.0,
|
195 |
+
"rewards/final_correctness_reward_func": 0.16666666666666666,
|
196 |
+
"rewards/question_recreation_reward_func": 0.7353284160296122,
|
197 |
"rewards/soft_format_reward_func": 0.0,
|
198 |
+
"rewards/strict_format_reward_func": 0.2916666666666667,
|
199 |
+
"rewards/xmlcount_reward_func": 1.2071666717529297,
|
200 |
"step": 20
|
201 |
},
|
202 |
{
|
203 |
"epoch": 5.0,
|
204 |
"step": 20,
|
205 |
"total_flos": 0.0,
|
206 |
+
"train_loss": 0.0014741608130862005,
|
207 |
+
"train_runtime": 143.5727,
|
208 |
+
"train_samples_per_second": 2.229,
|
209 |
+
"train_steps_per_second": 0.139
|
210 |
}
|
211 |
],
|
212 |
"logging_steps": 2,
|