End of training
Browse files- adapter_model.safetensors +1 -1
- all_results.json +3 -3
- train_results.json +3 -3
- trainer_state.json +111 -111
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 sha256:56b487afd111e4da52bccf6c9fa8c7197a0add1832cf5fa54bde91f2d4a6075e
|
3 |
size 73911112
|
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
-
"train_loss": 3.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 14,
|
6 |
-
"train_samples_per_second": 0.
|
7 |
"train_steps_per_second": 0.009
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 3.061654888369958e-06,
|
4 |
+
"train_runtime": 2276.638,
|
5 |
"train_samples": 14,
|
6 |
+
"train_samples_per_second": 0.141,
|
7 |
"train_steps_per_second": 0.009
|
8 |
}
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
-
"train_loss": 3.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 14,
|
6 |
-
"train_samples_per_second": 0.
|
7 |
"train_steps_per_second": 0.009
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 3.061654888369958e-06,
|
4 |
+
"train_runtime": 2276.638,
|
5 |
"train_samples": 14,
|
6 |
+
"train_samples_per_second": 0.141,
|
7 |
"train_steps_per_second": 0.009
|
8 |
}
|
trainer_state.json
CHANGED
@@ -10,202 +10,202 @@
|
|
10 |
"is_world_process_zero": true,
|
11 |
"log_history": [
|
12 |
{
|
13 |
-
"completion_length":
|
14 |
"epoch": 0.5714285714285714,
|
15 |
-
"grad_norm": 0.
|
16 |
-
"kl": 0.
|
17 |
"learning_rate": 5e-07,
|
18 |
"loss": 0.0,
|
19 |
-
"reward":
|
20 |
-
"reward_std":
|
21 |
-
"rewards/concensus_correctness_reward_func":
|
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.
|
27 |
"rewards/strict_format_reward_func": 0.0,
|
28 |
-
"rewards/xmlcount_reward_func": 0.
|
29 |
"step": 2
|
30 |
},
|
31 |
{
|
32 |
-
"completion_length":
|
33 |
"epoch": 1.0,
|
34 |
-
"grad_norm": 0.
|
35 |
-
"kl": 0.
|
36 |
"learning_rate": 4.864543104251586e-07,
|
37 |
"loss": 0.0,
|
38 |
-
"reward": 6.
|
39 |
-
"reward_std":
|
40 |
-
"rewards/concensus_correctness_reward_func":
|
41 |
-
"rewards/consensus_reward_func": 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.
|
47 |
-
"rewards/xmlcount_reward_func": 0.
|
48 |
"step": 4
|
49 |
},
|
50 |
{
|
51 |
-
"completion_length":
|
52 |
"epoch": 1.5714285714285714,
|
53 |
-
"grad_norm": 0.
|
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": 0.
|
67 |
"step": 6
|
68 |
},
|
69 |
{
|
70 |
-
"completion_length":
|
71 |
"epoch": 2.0,
|
72 |
-
"grad_norm": 0.
|
73 |
-
"kl": 0.
|
74 |
"learning_rate": 3.867370395306068e-07,
|
75 |
"loss": 0.0,
|
76 |
-
"reward":
|
77 |
-
"reward_std":
|
78 |
-
"rewards/concensus_correctness_reward_func": 3.
|
79 |
-
"rewards/consensus_reward_func": 0.
|
80 |
"rewards/cumulative_reward_2": 0.0,
|
81 |
-
"rewards/final_correctness_reward_func":
|
82 |
-
"rewards/question_recreation_reward_func": 0.
|
83 |
-
"rewards/soft_format_reward_func": 0.
|
84 |
-
"rewards/strict_format_reward_func": 0.
|
85 |
-
"rewards/xmlcount_reward_func": 0.
|
86 |
"step": 8
|
87 |
},
|
88 |
{
|
89 |
-
"completion_length":
|
90 |
"epoch": 2.571428571428571,
|
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":
|
98 |
-
"rewards/consensus_reward_func": 0.
|
99 |
"rewards/cumulative_reward_2": 0.0,
|
100 |
-
"rewards/final_correctness_reward_func": 0.
|
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": 0.
|
105 |
"step": 10
|
106 |
},
|
107 |
{
|
108 |
-
"completion_length":
|
109 |
"epoch": 3.0,
|
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":
|
117 |
-
"rewards/consensus_reward_func": 0.
|
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": 0.0,
|
123 |
-
"rewards/xmlcount_reward_func": 0.
|
124 |
"step": 12
|
125 |
},
|
126 |
{
|
127 |
-
"completion_length":
|
128 |
"epoch": 3.571428571428571,
|
129 |
-
"grad_norm": 0.
|
130 |
-
"kl": 0.
|
131 |
"learning_rate": 1.4957614383675767e-07,
|
132 |
"loss": 0.0,
|
133 |
-
"reward":
|
134 |
-
"reward_std":
|
135 |
-
"rewards/concensus_correctness_reward_func":
|
136 |
-
"rewards/consensus_reward_func": 0.
|
137 |
"rewards/cumulative_reward_2": 0.0,
|
138 |
"rewards/final_correctness_reward_func": 0.5,
|
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": 0.
|
143 |
"step": 14
|
144 |
},
|
145 |
{
|
146 |
-
"completion_length":
|
147 |
"epoch": 4.0,
|
148 |
-
"grad_norm": 0.
|
149 |
-
"kl": 0.
|
150 |
"learning_rate": 8.067960709356478e-08,
|
151 |
"loss": 0.0,
|
152 |
-
"reward": 4.
|
153 |
-
"reward_std":
|
154 |
-
"rewards/concensus_correctness_reward_func": 2.
|
155 |
-
"rewards/consensus_reward_func": 0.
|
156 |
"rewards/cumulative_reward_2": 0.0,
|
157 |
-
"rewards/final_correctness_reward_func": 0.
|
158 |
-
"rewards/question_recreation_reward_func": 0.
|
159 |
"rewards/soft_format_reward_func": 0.0,
|
160 |
"rewards/strict_format_reward_func": 0.0,
|
161 |
-
"rewards/xmlcount_reward_func": 0.
|
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": 0.0,
|
171 |
-
"reward":
|
172 |
-
"reward_std":
|
173 |
-
"rewards/concensus_correctness_reward_func":
|
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": 0.
|
181 |
"step": 18
|
182 |
},
|
183 |
{
|
184 |
-
"completion_length":
|
185 |
"epoch": 5.0,
|
186 |
-
"grad_norm": 0.
|
187 |
-
"kl": 0.
|
188 |
"learning_rate": 3.4096741493194193e-09,
|
189 |
"loss": 0.0,
|
190 |
-
"reward":
|
191 |
-
"reward_std":
|
192 |
-
"rewards/concensus_correctness_reward_func":
|
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": 0.
|
200 |
"step": 20
|
201 |
},
|
202 |
{
|
203 |
"epoch": 5.0,
|
204 |
"step": 20,
|
205 |
"total_flos": 0.0,
|
206 |
-
"train_loss": 3.
|
207 |
-
"train_runtime":
|
208 |
-
"train_samples_per_second": 0.
|
209 |
"train_steps_per_second": 0.009
|
210 |
}
|
211 |
],
|
|
|
10 |
"is_world_process_zero": true,
|
11 |
"log_history": [
|
12 |
{
|
13 |
+
"completion_length": 319.0,
|
14 |
"epoch": 0.5714285714285714,
|
15 |
+
"grad_norm": 0.8265736103057861,
|
16 |
+
"kl": 0.0036303852102719247,
|
17 |
"learning_rate": 5e-07,
|
18 |
"loss": 0.0,
|
19 |
+
"reward": 3.2230667397379875,
|
20 |
+
"reward_std": 3.523205704987049,
|
21 |
+
"rewards/concensus_correctness_reward_func": 1.508500010939315,
|
22 |
+
"rewards/consensus_reward_func": 0.375,
|
23 |
"rewards/cumulative_reward_2": 0.0,
|
24 |
+
"rewards/final_correctness_reward_func": 0.625,
|
25 |
+
"rewards/question_recreation_reward_func": 0.49050420615822077,
|
26 |
+
"rewards/soft_format_reward_func": 0.015625,
|
27 |
"rewards/strict_format_reward_func": 0.0,
|
28 |
+
"rewards/xmlcount_reward_func": 0.2084375023841858,
|
29 |
"step": 2
|
30 |
},
|
31 |
{
|
32 |
+
"completion_length": 288.4583333333333,
|
33 |
"epoch": 1.0,
|
34 |
+
"grad_norm": 0.6778371334075928,
|
35 |
+
"kl": 0.003078966032868872,
|
36 |
"learning_rate": 4.864543104251586e-07,
|
37 |
"loss": 0.0,
|
38 |
+
"reward": 6.541472514470418,
|
39 |
+
"reward_std": 7.260249118010203,
|
40 |
+
"rewards/concensus_correctness_reward_func": 4.639250000317891,
|
41 |
+
"rewards/consensus_reward_func": 0.8333333333333334,
|
42 |
"rewards/cumulative_reward_2": 0.0,
|
43 |
+
"rewards/final_correctness_reward_func": 0.5,
|
44 |
+
"rewards/question_recreation_reward_func": 0.2928476979335149,
|
45 |
"rewards/soft_format_reward_func": 0.0,
|
46 |
+
"rewards/strict_format_reward_func": 0.020833333333333332,
|
47 |
+
"rewards/xmlcount_reward_func": 0.255208329608043,
|
48 |
"step": 4
|
49 |
},
|
50 |
{
|
51 |
+
"completion_length": 267.40625,
|
52 |
"epoch": 1.5714285714285714,
|
53 |
+
"grad_norm": 0.9330791234970093,
|
54 |
+
"kl": 0.0036824695125687867,
|
55 |
"learning_rate": 4.472851273490984e-07,
|
56 |
"loss": 0.0,
|
57 |
+
"reward": 3.196286790072918,
|
58 |
+
"reward_std": 2.722376387566328,
|
59 |
+
"rewards/concensus_correctness_reward_func": 1.014437495265156,
|
60 |
+
"rewards/consensus_reward_func": 0.5,
|
61 |
"rewards/cumulative_reward_2": 0.0,
|
62 |
+
"rewards/final_correctness_reward_func": 0.8125,
|
63 |
+
"rewards/question_recreation_reward_func": 0.39591173361986876,
|
64 |
"rewards/soft_format_reward_func": 0.0,
|
65 |
+
"rewards/strict_format_reward_func": 0.0,
|
66 |
+
"rewards/xmlcount_reward_func": 0.4734374936670065,
|
67 |
"step": 6
|
68 |
},
|
69 |
{
|
70 |
+
"completion_length": 244.20833333333334,
|
71 |
"epoch": 2.0,
|
72 |
+
"grad_norm": 0.45333999395370483,
|
73 |
+
"kl": 0.003310707824615141,
|
74 |
"learning_rate": 3.867370395306068e-07,
|
75 |
"loss": 0.0,
|
76 |
+
"reward": 5.11900262037913,
|
77 |
+
"reward_std": 6.583905945221583,
|
78 |
+
"rewards/concensus_correctness_reward_func": 3.427916668355465,
|
79 |
+
"rewards/consensus_reward_func": 0.5833333333333334,
|
80 |
"rewards/cumulative_reward_2": 0.0,
|
81 |
+
"rewards/final_correctness_reward_func": 0.08333333333333333,
|
82 |
+
"rewards/question_recreation_reward_func": 0.4223358705639839,
|
83 |
+
"rewards/soft_format_reward_func": 0.0,
|
84 |
+
"rewards/strict_format_reward_func": 0.020833333333333332,
|
85 |
+
"rewards/xmlcount_reward_func": 0.581249992052714,
|
86 |
"step": 8
|
87 |
},
|
88 |
{
|
89 |
+
"completion_length": 302.6875,
|
90 |
"epoch": 2.571428571428571,
|
91 |
+
"grad_norm": 0.48581212759017944,
|
92 |
+
"kl": 0.0031960688793333247,
|
93 |
"learning_rate": 3.1137137178519977e-07,
|
94 |
"loss": 0.0,
|
95 |
+
"reward": 4.359011098742485,
|
96 |
+
"reward_std": 5.041795432567596,
|
97 |
+
"rewards/concensus_correctness_reward_func": 2.613250009715557,
|
98 |
+
"rewards/consensus_reward_func": 0.5,
|
99 |
"rewards/cumulative_reward_2": 0.0,
|
100 |
+
"rewards/final_correctness_reward_func": 0.25,
|
101 |
+
"rewards/question_recreation_reward_func": 0.5397296585142612,
|
102 |
"rewards/soft_format_reward_func": 0.0,
|
103 |
+
"rewards/strict_format_reward_func": 0.03125,
|
104 |
+
"rewards/xmlcount_reward_func": 0.4247812554240227,
|
105 |
"step": 10
|
106 |
},
|
107 |
{
|
108 |
+
"completion_length": 264.5416666666667,
|
109 |
"epoch": 3.0,
|
110 |
+
"grad_norm": 0.37057843804359436,
|
111 |
+
"kl": 0.003878361739528676,
|
112 |
"learning_rate": 2.2935516363191693e-07,
|
113 |
"loss": 0.0,
|
114 |
+
"reward": 4.831206654508908,
|
115 |
+
"reward_std": 6.333635171254476,
|
116 |
+
"rewards/concensus_correctness_reward_func": 2.8268333077430725,
|
117 |
+
"rewards/consensus_reward_func": 0.5833333333333334,
|
118 |
"rewards/cumulative_reward_2": 0.0,
|
119 |
+
"rewards/final_correctness_reward_func": 0.6666666666666666,
|
120 |
+
"rewards/question_recreation_reward_func": 0.3961649263898532,
|
121 |
"rewards/soft_format_reward_func": 0.0,
|
122 |
"rewards/strict_format_reward_func": 0.0,
|
123 |
+
"rewards/xmlcount_reward_func": 0.3582083247601986,
|
124 |
"step": 12
|
125 |
},
|
126 |
{
|
127 |
+
"completion_length": 304.71875,
|
128 |
"epoch": 3.571428571428571,
|
129 |
+
"grad_norm": 0.7317449450492859,
|
130 |
+
"kl": 0.003004714220878668,
|
131 |
"learning_rate": 1.4957614383675767e-07,
|
132 |
"loss": 0.0,
|
133 |
+
"reward": 4.568838551640511,
|
134 |
+
"reward_std": 5.097499243915081,
|
135 |
+
"rewards/concensus_correctness_reward_func": 2.7120625108946115,
|
136 |
+
"rewards/consensus_reward_func": 0.375,
|
137 |
"rewards/cumulative_reward_2": 0.0,
|
138 |
"rewards/final_correctness_reward_func": 0.5,
|
139 |
+
"rewards/question_recreation_reward_func": 0.6519634742289782,
|
140 |
"rewards/soft_format_reward_func": 0.0,
|
141 |
+
"rewards/strict_format_reward_func": 0.015625,
|
142 |
+
"rewards/xmlcount_reward_func": 0.3141875136643648,
|
143 |
"step": 14
|
144 |
},
|
145 |
{
|
146 |
+
"completion_length": 344.7916666666667,
|
147 |
"epoch": 4.0,
|
148 |
+
"grad_norm": 0.36377763748168945,
|
149 |
+
"kl": 0.003294540375160674,
|
150 |
"learning_rate": 8.067960709356478e-08,
|
151 |
"loss": 0.0,
|
152 |
+
"reward": 4.352070172627767,
|
153 |
+
"reward_std": 3.323097010453542,
|
154 |
+
"rewards/concensus_correctness_reward_func": 2.0965833365917206,
|
155 |
+
"rewards/consensus_reward_func": 0.6666666666666666,
|
156 |
"rewards/cumulative_reward_2": 0.0,
|
157 |
+
"rewards/final_correctness_reward_func": 0.6666666666666666,
|
158 |
+
"rewards/question_recreation_reward_func": 0.3886534372965495,
|
159 |
"rewards/soft_format_reward_func": 0.0,
|
160 |
"rewards/strict_format_reward_func": 0.0,
|
161 |
+
"rewards/xmlcount_reward_func": 0.5334999983509382,
|
162 |
"step": 16
|
163 |
},
|
164 |
{
|
165 |
+
"completion_length": 281.65625,
|
166 |
"epoch": 4.571428571428571,
|
167 |
+
"grad_norm": 1.0194026231765747,
|
168 |
+
"kl": 0.0037469247763510793,
|
169 |
"learning_rate": 3.013156219837776e-08,
|
170 |
"loss": 0.0,
|
171 |
+
"reward": 6.420581094920635,
|
172 |
+
"reward_std": 6.502259276807308,
|
173 |
+
"rewards/concensus_correctness_reward_func": 4.080687532201409,
|
174 |
+
"rewards/consensus_reward_func": 0.6875,
|
175 |
"rewards/cumulative_reward_2": 0.0,
|
176 |
+
"rewards/final_correctness_reward_func": 0.75,
|
177 |
+
"rewards/question_recreation_reward_func": 0.5529873929917812,
|
178 |
"rewards/soft_format_reward_func": 0.0,
|
179 |
+
"rewards/strict_format_reward_func": 0.015625,
|
180 |
+
"rewards/xmlcount_reward_func": 0.33378125145100057,
|
181 |
"step": 18
|
182 |
},
|
183 |
{
|
184 |
+
"completion_length": 306.0,
|
185 |
"epoch": 5.0,
|
186 |
+
"grad_norm": 0.5315831899642944,
|
187 |
+
"kl": 0.004204936480770509,
|
188 |
"learning_rate": 3.4096741493194193e-09,
|
189 |
"loss": 0.0,
|
190 |
+
"reward": 4.401223103205363,
|
191 |
+
"reward_std": 4.7618053158124285,
|
192 |
+
"rewards/concensus_correctness_reward_func": 2.6359999974568686,
|
193 |
+
"rewards/consensus_reward_func": 0.5833333333333334,
|
194 |
"rewards/cumulative_reward_2": 0.0,
|
195 |
+
"rewards/final_correctness_reward_func": 0.4166666666666667,
|
196 |
+
"rewards/question_recreation_reward_func": 0.4475146258870761,
|
197 |
"rewards/soft_format_reward_func": 0.0,
|
198 |
+
"rewards/strict_format_reward_func": 0.041666666666666664,
|
199 |
+
"rewards/xmlcount_reward_func": 0.2760416766007741,
|
200 |
"step": 20
|
201 |
},
|
202 |
{
|
203 |
"epoch": 5.0,
|
204 |
"step": 20,
|
205 |
"total_flos": 0.0,
|
206 |
+
"train_loss": 3.061654888369958e-06,
|
207 |
+
"train_runtime": 2276.638,
|
208 |
+
"train_samples_per_second": 0.141,
|
209 |
"train_steps_per_second": 0.009
|
210 |
}
|
211 |
],
|