End of training
Browse files- all_results.json +5 -5
- model.safetensors +1 -1
- train_results.json +5 -5
- trainer_state.json +127 -127
- training_args.bin +1 -1
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
-
"train_loss":
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 2.8162464786873898e-06,
|
4 |
+
"train_runtime": 2270.13,
|
5 |
+
"train_samples": 320,
|
6 |
+
"train_samples_per_second": 0.141,
|
7 |
+
"train_steps_per_second": 0.009
|
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:cc6f6749c834bc252a24de8d11fe3707d06262cd3b8f6d225f4f4a3c34624ee4
|
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":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 2.8162464786873898e-06,
|
4 |
+
"train_runtime": 2270.13,
|
5 |
+
"train_samples": 320,
|
6 |
+
"train_samples_per_second": 0.141,
|
7 |
+
"train_steps_per_second": 0.009
|
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": 4.965903258506806e-07,
|
18 |
"loss": 0.0,
|
19 |
-
"reward":
|
20 |
-
"reward_std": 0.
|
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": 0.1875,
|
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": 0.
|
34 |
-
"grad_norm":
|
35 |
-
"kl": 0.
|
36 |
"learning_rate": 4.698684378016222e-07,
|
37 |
-
"loss": 0.
|
38 |
-
"reward":
|
39 |
-
"reward_std": 0.
|
40 |
-
"rewards/concensus_correctness_reward_func":
|
41 |
-
"rewards/consensus_reward_func":
|
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":
|
48 |
"step": 4
|
49 |
},
|
50 |
{
|
51 |
-
"completion_length":
|
52 |
-
"epoch": 0.
|
53 |
-
"grad_norm":
|
54 |
-
"kl": 0.
|
55 |
"learning_rate": 4.193203929064353e-07,
|
56 |
-
"loss": 0.
|
57 |
-
"reward":
|
58 |
-
"reward_std": 0.
|
59 |
-
"rewards/concensus_correctness_reward_func":
|
60 |
-
"rewards/consensus_reward_func":
|
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":
|
67 |
"step": 6
|
68 |
},
|
69 |
{
|
70 |
-
"completion_length":
|
71 |
-
"epoch": 0.
|
72 |
-
"grad_norm":
|
73 |
-
"kl": 0.
|
74 |
"learning_rate": 3.5042385616324236e-07,
|
75 |
-
"loss": 0.
|
76 |
-
"reward":
|
77 |
-
"reward_std": 0.
|
78 |
-
"rewards/concensus_correctness_reward_func":
|
79 |
-
"rewards/consensus_reward_func":
|
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":
|
93 |
"learning_rate": 2.706448363680831e-07,
|
94 |
-
"loss": 0.
|
95 |
-
"reward":
|
96 |
-
"reward_std": 0.
|
97 |
-
"rewards/concensus_correctness_reward_func":
|
98 |
-
"rewards/consensus_reward_func":
|
99 |
"rewards/cumulative_reward_2": 0.0,
|
100 |
"rewards/final_correctness_reward_func": 0.125,
|
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":
|
105 |
"step": 10
|
106 |
},
|
107 |
{
|
108 |
-
"completion_length":
|
109 |
-
"epoch": 0.
|
110 |
-
"grad_norm":
|
111 |
-
"kl":
|
112 |
"learning_rate": 1.886286282148002e-07,
|
113 |
-
"loss": 0.
|
114 |
-
"reward":
|
115 |
-
"reward_std": 0.
|
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": 0.0,
|
123 |
-
"rewards/xmlcount_reward_func":
|
124 |
"step": 12
|
125 |
},
|
126 |
{
|
127 |
-
"completion_length":
|
128 |
-
"epoch": 0.
|
129 |
-
"grad_norm":
|
130 |
-
"kl": 0.
|
131 |
"learning_rate": 1.1326296046939333e-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":
|
143 |
"step": 14
|
144 |
},
|
145 |
{
|
146 |
-
"completion_length":
|
147 |
-
"epoch": 0.
|
148 |
-
"grad_norm":
|
149 |
-
"kl":
|
150 |
"learning_rate": 5.271487265090163e-08,
|
151 |
-
"loss": 0.
|
152 |
-
"reward":
|
153 |
-
"reward_std": 0.
|
154 |
-
"rewards/concensus_correctness_reward_func":
|
155 |
-
"rewards/consensus_reward_func":
|
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.
|
161 |
-
"rewards/xmlcount_reward_func":
|
162 |
"step": 16
|
163 |
},
|
164 |
{
|
165 |
-
"completion_length":
|
166 |
-
"epoch": 0.
|
167 |
-
"grad_norm":
|
168 |
-
"kl":
|
169 |
"learning_rate": 1.3545689574841341e-08,
|
170 |
-
"loss":
|
171 |
-
"reward":
|
172 |
-
"reward_std": 0.
|
173 |
-
"rewards/concensus_correctness_reward_func":
|
174 |
-
"rewards/consensus_reward_func":
|
175 |
"rewards/cumulative_reward_2": 0.0,
|
176 |
"rewards/final_correctness_reward_func": 0.1875,
|
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":
|
185 |
-
"epoch":
|
186 |
-
"grad_norm":
|
187 |
-
"kl":
|
188 |
"learning_rate": 0.0,
|
189 |
-
"loss": 0.
|
190 |
-
"reward":
|
191 |
-
"reward_std": 0.
|
192 |
-
"rewards/concensus_correctness_reward_func":
|
193 |
-
"rewards/consensus_reward_func":
|
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":
|
200 |
"step": 20
|
201 |
},
|
202 |
{
|
203 |
-
"epoch":
|
204 |
"step": 20,
|
205 |
"total_flos": 0.0,
|
206 |
-
"train_loss":
|
207 |
-
"train_runtime":
|
208 |
-
"train_samples_per_second":
|
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": 0.5,
|
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": 227.59375,
|
14 |
+
"epoch": 0.05,
|
15 |
+
"grad_norm": 25.247303009033203,
|
16 |
"kl": 0.0,
|
17 |
"learning_rate": 4.965903258506806e-07,
|
18 |
"loss": 0.0,
|
19 |
+
"reward": 0.43621697928756475,
|
20 |
+
"reward_std": 0.3773691598617006,
|
21 |
+
"rewards/concensus_correctness_reward_func": 0.057500001043081284,
|
22 |
+
"rewards/consensus_reward_func": 0.0,
|
23 |
"rewards/cumulative_reward_2": 0.0,
|
24 |
"rewards/final_correctness_reward_func": 0.1875,
|
25 |
+
"rewards/question_recreation_reward_func": 0.1438732324168086,
|
26 |
"rewards/soft_format_reward_func": 0.0,
|
27 |
"rewards/strict_format_reward_func": 0.0,
|
28 |
+
"rewards/xmlcount_reward_func": 0.04734375057159923,
|
29 |
"step": 2
|
30 |
},
|
31 |
{
|
32 |
+
"completion_length": 403.96875,
|
33 |
+
"epoch": 0.1,
|
34 |
+
"grad_norm": 30.580951690673828,
|
35 |
+
"kl": 0.004594966503645992,
|
36 |
"learning_rate": 4.698684378016222e-07,
|
37 |
+
"loss": 0.0,
|
38 |
+
"reward": 0.21478787978412583,
|
39 |
+
"reward_std": 0.23127917431702372,
|
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": 0.0625,
|
44 |
+
"rewards/question_recreation_reward_func": 0.10060038062511012,
|
45 |
"rewards/soft_format_reward_func": 0.0,
|
46 |
+
"rewards/strict_format_reward_func": 0.0,
|
47 |
+
"rewards/xmlcount_reward_func": 0.05168749950826168,
|
48 |
"step": 4
|
49 |
},
|
50 |
{
|
51 |
+
"completion_length": 416.21875,
|
52 |
+
"epoch": 0.15,
|
53 |
+
"grad_norm": 68.20472717285156,
|
54 |
+
"kl": 0.001207319201057544,
|
55 |
"learning_rate": 4.193203929064353e-07,
|
56 |
+
"loss": 0.0,
|
57 |
+
"reward": 0.31035696691833436,
|
58 |
+
"reward_std": 0.4425280693176319,
|
59 |
+
"rewards/concensus_correctness_reward_func": 0.0,
|
60 |
+
"rewards/consensus_reward_func": 0.0625,
|
61 |
"rewards/cumulative_reward_2": 0.0,
|
62 |
+
"rewards/final_correctness_reward_func": 0.0,
|
63 |
+
"rewards/question_recreation_reward_func": 0.14985696435905993,
|
64 |
"rewards/soft_format_reward_func": 0.0,
|
65 |
"rewards/strict_format_reward_func": 0.0,
|
66 |
+
"rewards/xmlcount_reward_func": 0.09800000162795186,
|
67 |
"step": 6
|
68 |
},
|
69 |
{
|
70 |
+
"completion_length": 367.34375,
|
71 |
+
"epoch": 0.2,
|
72 |
+
"grad_norm": 7.403642654418945,
|
73 |
+
"kl": 0.0010949020979751367,
|
74 |
"learning_rate": 3.5042385616324236e-07,
|
75 |
+
"loss": 0.0,
|
76 |
+
"reward": 0.42255881475284696,
|
77 |
+
"reward_std": 0.41626901473500766,
|
78 |
+
"rewards/concensus_correctness_reward_func": 0.0,
|
79 |
+
"rewards/consensus_reward_func": 0.125,
|
80 |
"rewards/cumulative_reward_2": 0.0,
|
81 |
+
"rewards/final_correctness_reward_func": 0.0,
|
82 |
+
"rewards/question_recreation_reward_func": 0.17862132983282208,
|
83 |
"rewards/soft_format_reward_func": 0.0,
|
84 |
+
"rewards/strict_format_reward_func": 0.0,
|
85 |
+
"rewards/xmlcount_reward_func": 0.11893750075250864,
|
86 |
"step": 8
|
87 |
},
|
88 |
{
|
89 |
+
"completion_length": 316.3125,
|
90 |
+
"epoch": 0.25,
|
91 |
+
"grad_norm": 74.33928680419922,
|
92 |
+
"kl": 0.002202798434154829,
|
93 |
"learning_rate": 2.706448363680831e-07,
|
94 |
+
"loss": 0.0,
|
95 |
+
"reward": 0.3897631341824308,
|
96 |
+
"reward_std": 0.8568756857785047,
|
97 |
+
"rewards/concensus_correctness_reward_func": 0.0,
|
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": 0.13716937709250487,
|
102 |
"rewards/soft_format_reward_func": 0.0,
|
103 |
+
"rewards/strict_format_reward_func": 0.015625,
|
104 |
+
"rewards/xmlcount_reward_func": 0.04946874629240483,
|
105 |
"step": 10
|
106 |
},
|
107 |
{
|
108 |
+
"completion_length": 304.25,
|
109 |
+
"epoch": 0.3,
|
110 |
+
"grad_norm": 34.88124084472656,
|
111 |
+
"kl": 0.007154400140279904,
|
112 |
"learning_rate": 1.886286282148002e-07,
|
113 |
+
"loss": 0.0,
|
114 |
+
"reward": 0.5133137404918671,
|
115 |
+
"reward_std": 0.5358899807324633,
|
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": 0.3125,
|
120 |
+
"rewards/question_recreation_reward_func": 0.22212625079555437,
|
121 |
"rewards/soft_format_reward_func": 0.0,
|
122 |
"rewards/strict_format_reward_func": 0.0,
|
123 |
+
"rewards/xmlcount_reward_func": -0.02131250022648601,
|
124 |
"step": 12
|
125 |
},
|
126 |
{
|
127 |
+
"completion_length": 219.625,
|
128 |
+
"epoch": 0.35,
|
129 |
+
"grad_norm": 127.43692016601562,
|
130 |
+
"kl": 0.004367175111838151,
|
131 |
"learning_rate": 1.1326296046939333e-07,
|
132 |
+
"loss": 0.0,
|
133 |
+
"reward": 0.3028914491296746,
|
134 |
+
"reward_std": 0.27629712063935585,
|
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": 0.0,
|
139 |
+
"rewards/question_recreation_reward_func": 0.16801644733641297,
|
140 |
"rewards/soft_format_reward_func": 0.0,
|
141 |
+
"rewards/strict_format_reward_func": 0.015625,
|
142 |
+
"rewards/xmlcount_reward_func": 0.11924999952316284,
|
143 |
"step": 14
|
144 |
},
|
145 |
{
|
146 |
+
"completion_length": 183.9375,
|
147 |
+
"epoch": 0.4,
|
148 |
+
"grad_norm": 27.21989631652832,
|
149 |
+
"kl": 0.0024261638791358564,
|
150 |
"learning_rate": 5.271487265090163e-08,
|
151 |
+
"loss": 0.0,
|
152 |
+
"reward": 0.4117564453044906,
|
153 |
+
"reward_std": 0.6205049808704644,
|
154 |
+
"rewards/concensus_correctness_reward_func": 0.0,
|
155 |
+
"rewards/consensus_reward_func": 0.1875,
|
156 |
"rewards/cumulative_reward_2": 0.0,
|
157 |
+
"rewards/final_correctness_reward_func": 0.0625,
|
158 |
+
"rewards/question_recreation_reward_func": 0.12513145490083843,
|
159 |
"rewards/soft_format_reward_func": 0.0,
|
160 |
+
"rewards/strict_format_reward_func": 0.0,
|
161 |
+
"rewards/xmlcount_reward_func": 0.03662499878555536,
|
162 |
"step": 16
|
163 |
},
|
164 |
{
|
165 |
+
"completion_length": 306.71875,
|
166 |
+
"epoch": 0.45,
|
167 |
+
"grad_norm": 16.683961868286133,
|
168 |
+
"kl": 0.0033253404471906833,
|
169 |
"learning_rate": 1.3545689574841341e-08,
|
170 |
+
"loss": 0.0,
|
171 |
+
"reward": 0.4757386976853013,
|
172 |
+
"reward_std": 0.4481022479594685,
|
173 |
+
"rewards/concensus_correctness_reward_func": 0.0,
|
174 |
+
"rewards/consensus_reward_func": 0.0,
|
175 |
"rewards/cumulative_reward_2": 0.0,
|
176 |
"rewards/final_correctness_reward_func": 0.1875,
|
177 |
+
"rewards/question_recreation_reward_func": 0.17830120405415073,
|
178 |
"rewards/soft_format_reward_func": 0.0,
|
179 |
"rewards/strict_format_reward_func": 0.0,
|
180 |
+
"rewards/xmlcount_reward_func": 0.10993749974295497,
|
181 |
"step": 18
|
182 |
},
|
183 |
{
|
184 |
+
"completion_length": 426.46875,
|
185 |
+
"epoch": 0.5,
|
186 |
+
"grad_norm": 12.958433151245117,
|
187 |
+
"kl": 0.0013902449518354842,
|
188 |
"learning_rate": 0.0,
|
189 |
+
"loss": 0.0,
|
190 |
+
"reward": 0.3283228897198569,
|
191 |
+
"reward_std": 0.4778002558341541,
|
192 |
+
"rewards/concensus_correctness_reward_func": 0.0,
|
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": 0.17729164237971418,
|
197 |
"rewards/soft_format_reward_func": 0.0,
|
198 |
+
"rewards/strict_format_reward_func": 0.0,
|
199 |
+
"rewards/xmlcount_reward_func": 0.026031247864011675,
|
200 |
"step": 20
|
201 |
},
|
202 |
{
|
203 |
+
"epoch": 0.5,
|
204 |
"step": 20,
|
205 |
"total_flos": 0.0,
|
206 |
+
"train_loss": 2.8162464786873898e-06,
|
207 |
+
"train_runtime": 2270.13,
|
208 |
+
"train_samples_per_second": 0.141,
|
209 |
+
"train_steps_per_second": 0.009
|
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 6008
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4aea63f9733333abb9deb1edddd10a317bfbd746c34b03ac6a703aacb7a8ec98
|
3 |
size 6008
|