End of training
Browse files- all_results.json +5 -5
- model.safetensors +1 -1
- train_results.json +5 -5
- trainer_state.json +111 -111
- training_args.bin +1 -1
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
-
"train_loss": 2.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples":
|
6 |
-
"train_samples_per_second": 1.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 2.187862992286682e-06,
|
4 |
+
"train_runtime": 301.973,
|
5 |
+
"train_samples": 180,
|
6 |
+
"train_samples_per_second": 1.06,
|
7 |
+
"train_steps_per_second": 0.066
|
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 sha256:9b2bd4b225a00d17d012bae8562b69a791d09ba646612b41192b1abcae7033c5
|
3 |
size 1976163472
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
-
"train_loss": 2.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples":
|
6 |
-
"train_samples_per_second": 1.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 2.187862992286682e-06,
|
4 |
+
"train_runtime": 301.973,
|
5 |
+
"train_samples": 180,
|
6 |
+
"train_samples_per_second": 1.06,
|
7 |
+
"train_steps_per_second": 0.066
|
8 |
}
|
trainer_state.json
CHANGED
@@ -2,7 +2,7 @@
|
|
2 |
"best_global_step": null,
|
3 |
"best_metric": null,
|
4 |
"best_model_checkpoint": null,
|
5 |
-
"epoch":
|
6 |
"eval_steps": 500,
|
7 |
"global_step": 20,
|
8 |
"is_hyper_param_search": false,
|
@@ -10,203 +10,203 @@
|
|
10 |
"is_world_process_zero": true,
|
11 |
"log_history": [
|
12 |
{
|
13 |
-
"completion_length":
|
14 |
-
"epoch": 0.
|
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": 0.
|
34 |
-
"grad_norm":
|
35 |
-
"kl": 0.
|
36 |
"learning_rate": 4.864543104251586e-07,
|
37 |
"loss": 0.0,
|
38 |
-
"reward": 0.
|
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": 0.
|
44 |
-
"rewards/question_recreation_reward_func": 0.
|
45 |
-
"rewards/soft_format_reward_func": 0.
|
46 |
"rewards/strict_format_reward_func": 0.0,
|
47 |
-
"rewards/xmlcount_reward_func":
|
48 |
"step": 4
|
49 |
},
|
50 |
{
|
51 |
-
"completion_length":
|
52 |
-
"epoch": 0.
|
53 |
-
"grad_norm":
|
54 |
-
"kl": 0.
|
55 |
"learning_rate": 4.472851273490984e-07,
|
56 |
"loss": 0.0,
|
57 |
-
"reward": 0.
|
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.
|
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": 0.
|
72 |
-
"grad_norm":
|
73 |
-
"kl": 0.
|
74 |
"learning_rate": 3.867370395306068e-07,
|
75 |
"loss": 0.0,
|
76 |
-
"reward":
|
77 |
-
"reward_std":
|
78 |
-
"rewards/concensus_correctness_reward_func":
|
79 |
"rewards/consensus_reward_func": 0.0,
|
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":
|
86 |
"step": 8
|
87 |
},
|
88 |
{
|
89 |
-
"completion_length":
|
90 |
-
"epoch": 0.
|
91 |
-
"grad_norm":
|
92 |
-
"kl": 0.
|
93 |
"learning_rate": 3.1137137178519977e-07,
|
94 |
"loss": 0.0,
|
95 |
-
"reward": 0.
|
96 |
-
"reward_std": 0.
|
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.
|
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": 0.
|
110 |
-
"grad_norm":
|
111 |
-
"kl": 0.
|
112 |
"learning_rate": 2.2935516363191693e-07,
|
113 |
"loss": 0.0,
|
114 |
-
"reward": 0.
|
115 |
-
"reward_std": 0.
|
116 |
-
"rewards/concensus_correctness_reward_func": 0.
|
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": 0.
|
129 |
-
"grad_norm":
|
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": 0.0,
|
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": 0.0,
|
142 |
-
"rewards/xmlcount_reward_func": 0.
|
143 |
"step": 14
|
144 |
},
|
145 |
{
|
146 |
-
"completion_length":
|
147 |
-
"epoch": 0.
|
148 |
-
"grad_norm":
|
149 |
-
"kl": 0.
|
150 |
"learning_rate": 8.067960709356478e-08,
|
151 |
"loss": 0.0,
|
152 |
-
"reward": 0.
|
153 |
-
"reward_std": 0.
|
154 |
-
"rewards/concensus_correctness_reward_func": 0.
|
155 |
"rewards/consensus_reward_func": 0.0,
|
156 |
"rewards/cumulative_reward_2": 0.0,
|
157 |
"rewards/final_correctness_reward_func": 0.125,
|
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": 0.
|
162 |
"step": 16
|
163 |
},
|
164 |
{
|
165 |
-
"completion_length":
|
166 |
-
"epoch": 0.
|
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": 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": 0.0,
|
180 |
-
"rewards/xmlcount_reward_func":
|
181 |
"step": 18
|
182 |
},
|
183 |
{
|
184 |
-
"completion_length": 406.
|
185 |
-
"epoch":
|
186 |
-
"grad_norm":
|
187 |
-
"kl": 0.
|
188 |
"learning_rate": 3.4096741493194193e-09,
|
189 |
"loss": 0.0,
|
190 |
-
"reward": 1.
|
191 |
-
"reward_std": 1.
|
192 |
-
"rewards/concensus_correctness_reward_func": 0.
|
193 |
"rewards/consensus_reward_func": 0.0,
|
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": 0.0,
|
199 |
-
"rewards/xmlcount_reward_func":
|
200 |
"step": 20
|
201 |
},
|
202 |
{
|
203 |
-
"epoch":
|
204 |
"step": 20,
|
205 |
"total_flos": 0.0,
|
206 |
-
"train_loss": 2.
|
207 |
-
"train_runtime":
|
208 |
-
"train_samples_per_second": 1.
|
209 |
-
"train_steps_per_second": 0.
|
210 |
}
|
211 |
],
|
212 |
"logging_steps": 2,
|
|
|
2 |
"best_global_step": null,
|
3 |
"best_metric": null,
|
4 |
"best_model_checkpoint": null,
|
5 |
+
"epoch": 0.8888888888888888,
|
6 |
"eval_steps": 500,
|
7 |
"global_step": 20,
|
8 |
"is_hyper_param_search": false,
|
|
|
10 |
"is_world_process_zero": true,
|
11 |
"log_history": [
|
12 |
{
|
13 |
+
"completion_length": 477.0,
|
14 |
+
"epoch": 0.08888888888888889,
|
15 |
+
"grad_norm": 34.471927642822266,
|
16 |
"kl": 0.0,
|
17 |
"learning_rate": 5e-07,
|
18 |
"loss": -0.0,
|
19 |
+
"reward": 1.174295978154987,
|
20 |
+
"reward_std": 1.7542744056117954,
|
21 |
+
"rewards/concensus_correctness_reward_func": 0.8310000002384186,
|
22 |
+
"rewards/consensus_reward_func": 0.0625,
|
23 |
"rewards/cumulative_reward_2": 0.0,
|
24 |
+
"rewards/final_correctness_reward_func": 0.0,
|
25 |
+
"rewards/question_recreation_reward_func": 0.17798347567440942,
|
26 |
"rewards/soft_format_reward_func": 0.0,
|
27 |
+
"rewards/strict_format_reward_func": 0.015625,
|
28 |
+
"rewards/xmlcount_reward_func": 0.08718749997206032,
|
29 |
"step": 2
|
30 |
},
|
31 |
{
|
32 |
+
"completion_length": 277.25,
|
33 |
+
"epoch": 0.17777777777777778,
|
34 |
+
"grad_norm": 26.461362838745117,
|
35 |
+
"kl": 0.00166156359409797,
|
36 |
"learning_rate": 4.864543104251586e-07,
|
37 |
"loss": 0.0,
|
38 |
+
"reward": 0.6097803856246173,
|
39 |
+
"reward_std": 0.5241530751809478,
|
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": 0.125,
|
44 |
+
"rewards/question_recreation_reward_func": 0.2592491409741342,
|
45 |
+
"rewards/soft_format_reward_func": 0.015625,
|
46 |
"rewards/strict_format_reward_func": 0.0,
|
47 |
+
"rewards/xmlcount_reward_func": 0.20990624744445086,
|
48 |
"step": 4
|
49 |
},
|
50 |
{
|
51 |
+
"completion_length": 386.34375,
|
52 |
+
"epoch": 0.26666666666666666,
|
53 |
+
"grad_norm": 11.892231941223145,
|
54 |
+
"kl": 0.0016316118271788582,
|
55 |
"learning_rate": 4.472851273490984e-07,
|
56 |
"loss": 0.0,
|
57 |
+
"reward": 0.9368757626507431,
|
58 |
+
"reward_std": 1.3130901722470298,
|
59 |
+
"rewards/concensus_correctness_reward_func": 0.1224374994635582,
|
60 |
+
"rewards/consensus_reward_func": 0.125,
|
61 |
"rewards/cumulative_reward_2": 0.0,
|
62 |
+
"rewards/final_correctness_reward_func": 0.3125,
|
63 |
+
"rewards/question_recreation_reward_func": 0.2546570213744417,
|
64 |
"rewards/soft_format_reward_func": 0.0,
|
65 |
"rewards/strict_format_reward_func": 0.0,
|
66 |
+
"rewards/xmlcount_reward_func": 0.12228124856483191,
|
67 |
"step": 6
|
68 |
},
|
69 |
{
|
70 |
+
"completion_length": 324.9375,
|
71 |
+
"epoch": 0.35555555555555557,
|
72 |
+
"grad_norm": 22.727386474609375,
|
73 |
+
"kl": 0.0020563425605359953,
|
74 |
"learning_rate": 3.867370395306068e-07,
|
75 |
"loss": 0.0,
|
76 |
+
"reward": 2.560941856354475,
|
77 |
+
"reward_std": 1.6560740754939616,
|
78 |
+
"rewards/concensus_correctness_reward_func": 1.875,
|
79 |
"rewards/consensus_reward_func": 0.0,
|
80 |
"rewards/cumulative_reward_2": 0.0,
|
81 |
+
"rewards/final_correctness_reward_func": 0.25,
|
82 |
+
"rewards/question_recreation_reward_func": 0.258441973477602,
|
83 |
"rewards/soft_format_reward_func": 0.0,
|
84 |
+
"rewards/strict_format_reward_func": 0.015625,
|
85 |
+
"rewards/xmlcount_reward_func": 0.16187499649822712,
|
86 |
"step": 8
|
87 |
},
|
88 |
{
|
89 |
+
"completion_length": 466.5625,
|
90 |
+
"epoch": 0.4444444444444444,
|
91 |
+
"grad_norm": 4.7971391677856445,
|
92 |
+
"kl": 0.0010438499575684546,
|
93 |
"learning_rate": 3.1137137178519977e-07,
|
94 |
"loss": 0.0,
|
95 |
+
"reward": 0.5703212053049356,
|
96 |
+
"reward_std": 0.8992374676745385,
|
97 |
+
"rewards/concensus_correctness_reward_func": 0.12262500077486038,
|
98 |
+
"rewards/consensus_reward_func": 0.0625,
|
99 |
"rewards/cumulative_reward_2": 0.0,
|
100 |
+
"rewards/final_correctness_reward_func": 0.125,
|
101 |
+
"rewards/question_recreation_reward_func": 0.19388369610533118,
|
102 |
"rewards/soft_format_reward_func": 0.0,
|
103 |
"rewards/strict_format_reward_func": 0.0,
|
104 |
+
"rewards/xmlcount_reward_func": 0.06631250027567148,
|
105 |
"step": 10
|
106 |
},
|
107 |
{
|
108 |
+
"completion_length": 476.96875,
|
109 |
+
"epoch": 0.5333333333333333,
|
110 |
+
"grad_norm": 10.955451011657715,
|
111 |
+
"kl": 0.0013942485475126887,
|
112 |
"learning_rate": 2.2935516363191693e-07,
|
113 |
"loss": 0.0,
|
114 |
+
"reward": 0.5070485147298314,
|
115 |
+
"reward_std": 0.39075206633424386,
|
116 |
+
"rewards/concensus_correctness_reward_func": 0.0,
|
117 |
+
"rewards/consensus_reward_func": 0.0,
|
118 |
"rewards/cumulative_reward_2": 0.0,
|
119 |
+
"rewards/final_correctness_reward_func": 0.1875,
|
120 |
+
"rewards/question_recreation_reward_func": 0.198392266232986,
|
121 |
"rewards/soft_format_reward_func": 0.0,
|
122 |
"rewards/strict_format_reward_func": 0.0,
|
123 |
+
"rewards/xmlcount_reward_func": 0.1211562491953373,
|
124 |
"step": 12
|
125 |
},
|
126 |
{
|
127 |
+
"completion_length": 502.15625,
|
128 |
+
"epoch": 0.6222222222222222,
|
129 |
+
"grad_norm": 5.031079292297363,
|
130 |
+
"kl": 0.0016764367901487276,
|
131 |
"learning_rate": 1.4957614383675767e-07,
|
132 |
"loss": 0.0,
|
133 |
+
"reward": 0.3395441100001335,
|
134 |
+
"reward_std": 0.43814076797571033,
|
135 |
"rewards/concensus_correctness_reward_func": 0.0,
|
136 |
"rewards/consensus_reward_func": 0.0,
|
137 |
"rewards/cumulative_reward_2": 0.0,
|
138 |
+
"rewards/final_correctness_reward_func": 0.3125,
|
139 |
+
"rewards/question_recreation_reward_func": 0.1331691121449694,
|
140 |
"rewards/soft_format_reward_func": 0.0,
|
141 |
"rewards/strict_format_reward_func": 0.0,
|
142 |
+
"rewards/xmlcount_reward_func": -0.10612499457783997,
|
143 |
"step": 14
|
144 |
},
|
145 |
{
|
146 |
+
"completion_length": 339.5,
|
147 |
+
"epoch": 0.7111111111111111,
|
148 |
+
"grad_norm": 10.80864143371582,
|
149 |
+
"kl": 0.0050469062916818075,
|
150 |
"learning_rate": 8.067960709356478e-08,
|
151 |
"loss": 0.0,
|
152 |
+
"reward": 0.33586260332958773,
|
153 |
+
"reward_std": 0.4518825721988833,
|
154 |
+
"rewards/concensus_correctness_reward_func": 0.0,
|
155 |
"rewards/consensus_reward_func": 0.0,
|
156 |
"rewards/cumulative_reward_2": 0.0,
|
157 |
"rewards/final_correctness_reward_func": 0.125,
|
158 |
+
"rewards/question_recreation_reward_func": 0.1327063522185199,
|
159 |
"rewards/soft_format_reward_func": 0.0,
|
160 |
+
"rewards/strict_format_reward_func": 0.015625,
|
161 |
+
"rewards/xmlcount_reward_func": 0.06253124959766865,
|
162 |
"step": 16
|
163 |
},
|
164 |
{
|
165 |
+
"completion_length": 362.3125,
|
166 |
+
"epoch": 0.8,
|
167 |
+
"grad_norm": 15.09556770324707,
|
168 |
+
"kl": 0.0029296423817868344,
|
169 |
"learning_rate": 3.013156219837776e-08,
|
170 |
"loss": 0.0,
|
171 |
+
"reward": 1.0260260263457894,
|
172 |
+
"reward_std": 1.464539691573009,
|
173 |
+
"rewards/concensus_correctness_reward_func": 0.625,
|
174 |
+
"rewards/consensus_reward_func": 0.0,
|
175 |
"rewards/cumulative_reward_2": 0.0,
|
176 |
+
"rewards/final_correctness_reward_func": 0.125,
|
177 |
+
"rewards/question_recreation_reward_func": 0.24865100963506848,
|
178 |
"rewards/soft_format_reward_func": 0.0,
|
179 |
"rewards/strict_format_reward_func": 0.0,
|
180 |
+
"rewards/xmlcount_reward_func": 0.02737499843351543,
|
181 |
"step": 18
|
182 |
},
|
183 |
{
|
184 |
+
"completion_length": 406.875,
|
185 |
+
"epoch": 0.8888888888888888,
|
186 |
+
"grad_norm": 73.40243530273438,
|
187 |
+
"kl": 0.006029042899172055,
|
188 |
"learning_rate": 3.4096741493194193e-09,
|
189 |
"loss": 0.0,
|
190 |
+
"reward": 1.030112552922219,
|
191 |
+
"reward_std": 1.194272859574994,
|
192 |
+
"rewards/concensus_correctness_reward_func": 0.625,
|
193 |
"rewards/consensus_reward_func": 0.0,
|
194 |
"rewards/cumulative_reward_2": 0.0,
|
195 |
+
"rewards/final_correctness_reward_func": 0.125,
|
196 |
+
"rewards/question_recreation_reward_func": 0.16539380967151374,
|
197 |
"rewards/soft_format_reward_func": 0.0,
|
198 |
"rewards/strict_format_reward_func": 0.0,
|
199 |
+
"rewards/xmlcount_reward_func": 0.11471875058487058,
|
200 |
"step": 20
|
201 |
},
|
202 |
{
|
203 |
+
"epoch": 0.8888888888888888,
|
204 |
"step": 20,
|
205 |
"total_flos": 0.0,
|
206 |
+
"train_loss": 2.187862992286682e-06,
|
207 |
+
"train_runtime": 301.973,
|
208 |
+
"train_samples_per_second": 1.06,
|
209 |
+
"train_steps_per_second": 0.066
|
210 |
}
|
211 |
],
|
212 |
"logging_steps": 2,
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5944
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1b643556e8d9899398708fcc4b831391b60250ddc912ac1b5c0d2b1b3447e34e
|
3 |
size 5944
|