End of training
Browse files- adapter_model.safetensors +1 -1
- all_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +119 -119
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 35237104
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:619030f187f1a7ed66ae988b67627c6461f61d9ad09ec49864892babd1bae79f
|
3 |
size 35237104
|
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": 0.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 2.9364487659222505e-06,
|
4 |
+
"train_runtime": 628.8319,
|
5 |
+
"train_samples": 44,
|
6 |
+
"train_samples_per_second": 0.509,
|
7 |
+
"train_steps_per_second": 0.032
|
8 |
}
|
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": 0.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 2.9364487659222505e-06,
|
4 |
+
"train_runtime": 628.8319,
|
5 |
+
"train_samples": 44,
|
6 |
+
"train_samples_per_second": 0.509,
|
7 |
+
"train_steps_per_second": 0.032
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,7 +1,7 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch":
|
5 |
"eval_steps": 500,
|
6 |
"global_step": 20,
|
7 |
"is_hyper_param_search": false,
|
@@ -9,209 +9,209 @@
|
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
-
"completion_length":
|
13 |
-
"epoch": 0.
|
14 |
-
"grad_norm":
|
15 |
-
"kl": 0.
|
16 |
"learning_rate": 4.965903258506806e-07,
|
17 |
"loss": 0.0,
|
18 |
-
"reward":
|
19 |
-
"reward_std":
|
20 |
-
"rewards/concensus_correctness_reward_func": 0.
|
21 |
-
"rewards/consensus_reward_func": 0.
|
22 |
"rewards/cumulative_reward_2": 0.0,
|
23 |
-
"rewards/final_correctness_reward_func": 0.
|
24 |
-
"rewards/question_recreation_reward_func": 0.
|
25 |
"rewards/soft_format_reward_func": 0.0,
|
26 |
"rewards/strict_format_reward_func": 0.0,
|
27 |
-
"rewards/xmlcount_reward_func": 0.
|
28 |
"step": 2
|
29 |
},
|
30 |
{
|
31 |
-
"completion_length":
|
32 |
-
"epoch":
|
33 |
-
"grad_norm":
|
34 |
-
"kl": 0.
|
35 |
"learning_rate": 4.698684378016222e-07,
|
36 |
"loss": 0.0,
|
37 |
-
"reward": 1.
|
38 |
-
"reward_std":
|
39 |
-
"rewards/concensus_correctness_reward_func": 0.
|
40 |
-
"rewards/consensus_reward_func": 0.
|
41 |
"rewards/cumulative_reward_2": 0.0,
|
42 |
-
"rewards/final_correctness_reward_func": 0.
|
43 |
-
"rewards/question_recreation_reward_func": 0.
|
44 |
"rewards/soft_format_reward_func": 0.0,
|
45 |
-
"rewards/strict_format_reward_func": 0.
|
46 |
-
"rewards/xmlcount_reward_func": 0.
|
47 |
"step": 4
|
48 |
},
|
49 |
{
|
50 |
-
"completion_length":
|
51 |
-
"epoch":
|
52 |
-
"grad_norm":
|
53 |
-
"kl": 0.
|
54 |
"learning_rate": 4.193203929064353e-07,
|
55 |
"loss": 0.0,
|
56 |
-
"reward":
|
57 |
-
"reward_std": 0.
|
58 |
-
"rewards/concensus_correctness_reward_func": 0.
|
59 |
-
"rewards/consensus_reward_func": 0.
|
60 |
"rewards/cumulative_reward_2": 0.0,
|
61 |
-
"rewards/final_correctness_reward_func": 0.
|
62 |
-
"rewards/question_recreation_reward_func": 0.
|
63 |
"rewards/soft_format_reward_func": 0.015625,
|
64 |
"rewards/strict_format_reward_func": 0.0,
|
65 |
-
"rewards/xmlcount_reward_func": 0.
|
66 |
"step": 6
|
67 |
},
|
68 |
{
|
69 |
-
"completion_length":
|
70 |
-
"epoch":
|
71 |
-
"grad_norm":
|
72 |
-
"kl": 0.
|
73 |
"learning_rate": 3.5042385616324236e-07,
|
74 |
"loss": 0.0,
|
75 |
-
"reward":
|
76 |
-
"reward_std":
|
77 |
-
"rewards/concensus_correctness_reward_func": 0.
|
78 |
-
"rewards/consensus_reward_func": 0.
|
79 |
"rewards/cumulative_reward_2": 0.0,
|
80 |
-
"rewards/final_correctness_reward_func": 0.
|
81 |
-
"rewards/question_recreation_reward_func": 0.
|
82 |
"rewards/soft_format_reward_func": 0.0,
|
83 |
"rewards/strict_format_reward_func": 0.0,
|
84 |
-
"rewards/xmlcount_reward_func":
|
85 |
"step": 8
|
86 |
},
|
87 |
{
|
88 |
-
"completion_length":
|
89 |
-
"epoch":
|
90 |
-
"grad_norm": 1.
|
91 |
-
"kl": 0.
|
92 |
"learning_rate": 2.706448363680831e-07,
|
93 |
"loss": 0.0,
|
94 |
-
"reward": 0.
|
95 |
-
"reward_std":
|
96 |
-
"rewards/concensus_correctness_reward_func": 0.
|
97 |
-
"rewards/consensus_reward_func": 0.
|
98 |
"rewards/cumulative_reward_2": 0.0,
|
99 |
"rewards/final_correctness_reward_func": 0.1875,
|
100 |
-
"rewards/question_recreation_reward_func": 0.
|
101 |
-
"rewards/soft_format_reward_func": 0.
|
102 |
"rewards/strict_format_reward_func": 0.0,
|
103 |
-
"rewards/xmlcount_reward_func":
|
104 |
"step": 10
|
105 |
},
|
106 |
{
|
107 |
-
"completion_length":
|
108 |
-
"epoch":
|
109 |
-
"grad_norm":
|
110 |
-
"kl": 0.
|
111 |
"learning_rate": 1.886286282148002e-07,
|
112 |
"loss": 0.0,
|
113 |
-
"reward":
|
114 |
-
"reward_std":
|
115 |
-
"rewards/concensus_correctness_reward_func": 0.
|
116 |
-
"rewards/consensus_reward_func": 0.
|
117 |
"rewards/cumulative_reward_2": 0.0,
|
118 |
-
"rewards/final_correctness_reward_func": 0.
|
119 |
-
"rewards/question_recreation_reward_func": 0.
|
120 |
"rewards/soft_format_reward_func": 0.0,
|
121 |
"rewards/strict_format_reward_func": 0.0,
|
122 |
-
"rewards/xmlcount_reward_func": 0.
|
123 |
"step": 12
|
124 |
},
|
125 |
{
|
126 |
-
"completion_length":
|
127 |
-
"epoch":
|
128 |
-
"grad_norm":
|
129 |
-
"kl": 0.
|
130 |
"learning_rate": 1.1326296046939333e-07,
|
131 |
"loss": 0.0,
|
132 |
-
"reward":
|
133 |
-
"reward_std":
|
134 |
-
"rewards/concensus_correctness_reward_func":
|
135 |
-
"rewards/consensus_reward_func": 0.
|
136 |
"rewards/cumulative_reward_2": 0.0,
|
137 |
-
"rewards/final_correctness_reward_func": 0.
|
138 |
-
"rewards/question_recreation_reward_func": 0.
|
139 |
-
"rewards/soft_format_reward_func": 0.
|
140 |
"rewards/strict_format_reward_func": 0.0,
|
141 |
-
"rewards/xmlcount_reward_func":
|
142 |
"step": 14
|
143 |
},
|
144 |
{
|
145 |
-
"completion_length":
|
146 |
-
"epoch":
|
147 |
-
"grad_norm":
|
148 |
-
"kl": 0.
|
149 |
"learning_rate": 5.271487265090163e-08,
|
150 |
"loss": 0.0,
|
151 |
-
"reward":
|
152 |
-
"reward_std": 0.
|
153 |
-
"rewards/concensus_correctness_reward_func": 0.
|
154 |
"rewards/consensus_reward_func": 0.0,
|
155 |
"rewards/cumulative_reward_2": 0.0,
|
156 |
-
"rewards/final_correctness_reward_func": 0.
|
157 |
-
"rewards/question_recreation_reward_func": 0.
|
158 |
"rewards/soft_format_reward_func": 0.0,
|
159 |
"rewards/strict_format_reward_func": 0.0,
|
160 |
-
"rewards/xmlcount_reward_func":
|
161 |
"step": 16
|
162 |
},
|
163 |
{
|
164 |
-
"completion_length":
|
165 |
-
"epoch":
|
166 |
-
"grad_norm":
|
167 |
-
"kl": 0.
|
168 |
"learning_rate": 1.3545689574841341e-08,
|
169 |
"loss": 0.0,
|
170 |
-
"reward":
|
171 |
-
"reward_std":
|
172 |
-
"rewards/concensus_correctness_reward_func": 0.
|
173 |
-
"rewards/consensus_reward_func": 0.
|
174 |
"rewards/cumulative_reward_2": 0.0,
|
175 |
"rewards/final_correctness_reward_func": 0.1875,
|
176 |
-
"rewards/question_recreation_reward_func": 0.
|
177 |
"rewards/soft_format_reward_func": 0.0,
|
178 |
-
"rewards/strict_format_reward_func": 0.
|
179 |
-
"rewards/xmlcount_reward_func": 0.
|
180 |
"step": 18
|
181 |
},
|
182 |
{
|
183 |
-
"completion_length":
|
184 |
-
"epoch":
|
185 |
-
"grad_norm": 1.
|
186 |
-
"kl": 0.
|
187 |
"learning_rate": 0.0,
|
188 |
"loss": 0.0,
|
189 |
-
"reward": 0.
|
190 |
-
"reward_std": 0.
|
191 |
-
"rewards/concensus_correctness_reward_func": 0.
|
192 |
-
"rewards/consensus_reward_func": 0.
|
193 |
"rewards/cumulative_reward_2": 0.0,
|
194 |
-
"rewards/final_correctness_reward_func": 0.
|
195 |
-
"rewards/question_recreation_reward_func": 0.
|
196 |
"rewards/soft_format_reward_func": 0.0,
|
197 |
-
"rewards/strict_format_reward_func": 0.
|
198 |
-
"rewards/xmlcount_reward_func":
|
199 |
"step": 20
|
200 |
},
|
201 |
{
|
202 |
-
"epoch":
|
203 |
"step": 20,
|
204 |
"total_flos": 0.0,
|
205 |
-
"train_loss":
|
206 |
-
"train_runtime":
|
207 |
-
"train_samples_per_second": 0.
|
208 |
-
"train_steps_per_second": 0.
|
209 |
}
|
210 |
],
|
211 |
"logging_steps": 2,
|
212 |
"max_steps": 20,
|
213 |
"num_input_tokens_seen": 0,
|
214 |
-
"num_train_epochs":
|
215 |
"save_steps": 25,
|
216 |
"stateful_callbacks": {
|
217 |
"TrainerControl": {
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.8181818181818183,
|
5 |
"eval_steps": 500,
|
6 |
"global_step": 20,
|
7 |
"is_hyper_param_search": false,
|
|
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"completion_length": 372.25,
|
13 |
+
"epoch": 0.18181818181818182,
|
14 |
+
"grad_norm": 1.9300328493118286,
|
15 |
+
"kl": 0.002685736268176697,
|
16 |
"learning_rate": 4.965903258506806e-07,
|
17 |
"loss": 0.0,
|
18 |
+
"reward": 1.9535507448017597,
|
19 |
+
"reward_std": 2.3369685858488083,
|
20 |
+
"rewards/concensus_correctness_reward_func": 0.75,
|
21 |
+
"rewards/consensus_reward_func": 0.0625,
|
22 |
"rewards/cumulative_reward_2": 0.0,
|
23 |
+
"rewards/final_correctness_reward_func": 0.375,
|
24 |
+
"rewards/question_recreation_reward_func": 0.4927695244550705,
|
25 |
"rewards/soft_format_reward_func": 0.0,
|
26 |
"rewards/strict_format_reward_func": 0.0,
|
27 |
+
"rewards/xmlcount_reward_func": 0.27328124828636646,
|
28 |
"step": 2
|
29 |
},
|
30 |
{
|
31 |
+
"completion_length": 343.03125,
|
32 |
+
"epoch": 0.36363636363636365,
|
33 |
+
"grad_norm": 3.323760747909546,
|
34 |
+
"kl": 0.0038706637133145705,
|
35 |
"learning_rate": 4.698684378016222e-07,
|
36 |
"loss": 0.0,
|
37 |
+
"reward": 1.1179207004606724,
|
38 |
+
"reward_std": 0.9569476544857025,
|
39 |
+
"rewards/concensus_correctness_reward_func": 0.09912500157952309,
|
40 |
+
"rewards/consensus_reward_func": 0.125,
|
41 |
"rewards/cumulative_reward_2": 0.0,
|
42 |
+
"rewards/final_correctness_reward_func": 0.25,
|
43 |
+
"rewards/question_recreation_reward_func": 0.36013949010521173,
|
44 |
"rewards/soft_format_reward_func": 0.0,
|
45 |
+
"rewards/strict_format_reward_func": 0.015625,
|
46 |
+
"rewards/xmlcount_reward_func": 0.2680312469601631,
|
47 |
"step": 4
|
48 |
},
|
49 |
{
|
50 |
+
"completion_length": 275.65625,
|
51 |
+
"epoch": 0.5454545454545454,
|
52 |
+
"grad_norm": 1.9294134378433228,
|
53 |
+
"kl": 0.0021318396175047383,
|
54 |
"learning_rate": 4.193203929064353e-07,
|
55 |
"loss": 0.0,
|
56 |
+
"reward": 1.1408963352441788,
|
57 |
+
"reward_std": 0.967832338064909,
|
58 |
+
"rewards/concensus_correctness_reward_func": 0.125,
|
59 |
+
"rewards/consensus_reward_func": 0.125,
|
60 |
"rewards/cumulative_reward_2": 0.0,
|
61 |
+
"rewards/final_correctness_reward_func": 0.0625,
|
62 |
+
"rewards/question_recreation_reward_func": 0.4269276261329651,
|
63 |
"rewards/soft_format_reward_func": 0.015625,
|
64 |
"rewards/strict_format_reward_func": 0.0,
|
65 |
+
"rewards/xmlcount_reward_func": 0.3858437556773424,
|
66 |
"step": 6
|
67 |
},
|
68 |
{
|
69 |
+
"completion_length": 319.96875,
|
70 |
+
"epoch": 0.7272727272727273,
|
71 |
+
"grad_norm": 1.2534875869750977,
|
72 |
+
"kl": 0.0027487699990160763,
|
73 |
"learning_rate": 3.5042385616324236e-07,
|
74 |
"loss": 0.0,
|
75 |
+
"reward": 0.9228200912475586,
|
76 |
+
"reward_std": 1.5564873665571213,
|
77 |
+
"rewards/concensus_correctness_reward_func": 0.125,
|
78 |
+
"rewards/consensus_reward_func": 0.1875,
|
79 |
"rewards/cumulative_reward_2": 0.0,
|
80 |
+
"rewards/final_correctness_reward_func": 0.125,
|
81 |
+
"rewards/question_recreation_reward_func": 0.3794763386249542,
|
82 |
"rewards/soft_format_reward_func": 0.0,
|
83 |
"rewards/strict_format_reward_func": 0.0,
|
84 |
+
"rewards/xmlcount_reward_func": 0.10584374889731407,
|
85 |
"step": 8
|
86 |
},
|
87 |
{
|
88 |
+
"completion_length": 435.375,
|
89 |
+
"epoch": 0.9090909090909091,
|
90 |
+
"grad_norm": 1.2784631252288818,
|
91 |
+
"kl": 0.002754525456111878,
|
92 |
"learning_rate": 2.706448363680831e-07,
|
93 |
"loss": 0.0,
|
94 |
+
"reward": 0.8444329872727394,
|
95 |
+
"reward_std": 1.0790864313021302,
|
96 |
+
"rewards/concensus_correctness_reward_func": 0.125,
|
97 |
+
"rewards/consensus_reward_func": 0.125,
|
98 |
"rewards/cumulative_reward_2": 0.0,
|
99 |
"rewards/final_correctness_reward_func": 0.1875,
|
100 |
+
"rewards/question_recreation_reward_func": 0.28580794762820005,
|
101 |
+
"rewards/soft_format_reward_func": 0.015625,
|
102 |
"rewards/strict_format_reward_func": 0.0,
|
103 |
+
"rewards/xmlcount_reward_func": 0.1055000051856041,
|
104 |
"step": 10
|
105 |
},
|
106 |
{
|
107 |
+
"completion_length": 383.21875,
|
108 |
+
"epoch": 1.0909090909090908,
|
109 |
+
"grad_norm": 3.725076913833618,
|
110 |
+
"kl": 0.0038445138634415343,
|
111 |
"learning_rate": 1.886286282148002e-07,
|
112 |
"loss": 0.0,
|
113 |
+
"reward": 1.3737196251749992,
|
114 |
+
"reward_std": 1.564310446381569,
|
115 |
+
"rewards/concensus_correctness_reward_func": 0.24268750101327896,
|
116 |
+
"rewards/consensus_reward_func": 0.375,
|
117 |
"rewards/cumulative_reward_2": 0.0,
|
118 |
+
"rewards/final_correctness_reward_func": 0.125,
|
119 |
+
"rewards/question_recreation_reward_func": 0.37809463776648045,
|
120 |
"rewards/soft_format_reward_func": 0.0,
|
121 |
"rewards/strict_format_reward_func": 0.0,
|
122 |
+
"rewards/xmlcount_reward_func": 0.2529374994337559,
|
123 |
"step": 12
|
124 |
},
|
125 |
{
|
126 |
+
"completion_length": 408.4375,
|
127 |
+
"epoch": 1.2727272727272727,
|
128 |
+
"grad_norm": 3.1979212760925293,
|
129 |
+
"kl": 0.002077052035019733,
|
130 |
"learning_rate": 1.1326296046939333e-07,
|
131 |
"loss": 0.0,
|
132 |
+
"reward": 4.569394081830978,
|
133 |
+
"reward_std": 5.111470676958561,
|
134 |
+
"rewards/concensus_correctness_reward_func": 3.208000000566244,
|
135 |
+
"rewards/consensus_reward_func": 0.3125,
|
136 |
"rewards/cumulative_reward_2": 0.0,
|
137 |
+
"rewards/final_correctness_reward_func": 0.375,
|
138 |
+
"rewards/question_recreation_reward_func": 0.46067542023956776,
|
139 |
+
"rewards/soft_format_reward_func": 0.015625,
|
140 |
"rewards/strict_format_reward_func": 0.0,
|
141 |
+
"rewards/xmlcount_reward_func": 0.19759375415742397,
|
142 |
"step": 14
|
143 |
},
|
144 |
{
|
145 |
+
"completion_length": 436.34375,
|
146 |
+
"epoch": 1.4545454545454546,
|
147 |
+
"grad_norm": 1.4435375928878784,
|
148 |
+
"kl": 0.0014565634628525004,
|
149 |
"learning_rate": 5.271487265090163e-08,
|
150 |
"loss": 0.0,
|
151 |
+
"reward": 1.052122674882412,
|
152 |
+
"reward_std": 0.8749217577278614,
|
153 |
+
"rewards/concensus_correctness_reward_func": 0.03125,
|
154 |
"rewards/consensus_reward_func": 0.0,
|
155 |
"rewards/cumulative_reward_2": 0.0,
|
156 |
+
"rewards/final_correctness_reward_func": 0.0625,
|
157 |
+
"rewards/question_recreation_reward_func": 0.4829976772889495,
|
158 |
"rewards/soft_format_reward_func": 0.0,
|
159 |
"rewards/strict_format_reward_func": 0.0,
|
160 |
+
"rewards/xmlcount_reward_func": 0.4753750041127205,
|
161 |
"step": 16
|
162 |
},
|
163 |
{
|
164 |
+
"completion_length": 434.21875,
|
165 |
+
"epoch": 1.6363636363636362,
|
166 |
+
"grad_norm": 1.8603307008743286,
|
167 |
+
"kl": 0.004560476292681415,
|
168 |
"learning_rate": 1.3545689574841341e-08,
|
169 |
"loss": 0.0,
|
170 |
+
"reward": 1.5926124211400747,
|
171 |
+
"reward_std": 2.343985839514062,
|
172 |
+
"rewards/concensus_correctness_reward_func": 0.65625,
|
173 |
+
"rewards/consensus_reward_func": 0.125,
|
174 |
"rewards/cumulative_reward_2": 0.0,
|
175 |
"rewards/final_correctness_reward_func": 0.1875,
|
176 |
+
"rewards/question_recreation_reward_func": 0.3674874210264534,
|
177 |
"rewards/soft_format_reward_func": 0.0,
|
178 |
+
"rewards/strict_format_reward_func": 0.015625,
|
179 |
+
"rewards/xmlcount_reward_func": 0.2407499998807907,
|
180 |
"step": 18
|
181 |
},
|
182 |
{
|
183 |
+
"completion_length": 310.65625,
|
184 |
+
"epoch": 1.8181818181818183,
|
185 |
+
"grad_norm": 1.8424596786499023,
|
186 |
+
"kl": 0.0032100926473503932,
|
187 |
"learning_rate": 0.0,
|
188 |
"loss": 0.0,
|
189 |
+
"reward": 0.7539666602388024,
|
190 |
+
"reward_std": 0.9992944076657295,
|
191 |
+
"rewards/concensus_correctness_reward_func": 0.03506249934434891,
|
192 |
+
"rewards/consensus_reward_func": 0.125,
|
193 |
"rewards/cumulative_reward_2": 0.0,
|
194 |
+
"rewards/final_correctness_reward_func": 0.0,
|
195 |
+
"rewards/question_recreation_reward_func": 0.31849788781255484,
|
196 |
"rewards/soft_format_reward_func": 0.0,
|
197 |
+
"rewards/strict_format_reward_func": 0.015625,
|
198 |
+
"rewards/xmlcount_reward_func": 0.25978125259280205,
|
199 |
"step": 20
|
200 |
},
|
201 |
{
|
202 |
+
"epoch": 1.8181818181818183,
|
203 |
"step": 20,
|
204 |
"total_flos": 0.0,
|
205 |
+
"train_loss": 2.9364487659222505e-06,
|
206 |
+
"train_runtime": 628.8319,
|
207 |
+
"train_samples_per_second": 0.509,
|
208 |
+
"train_steps_per_second": 0.032
|
209 |
}
|
210 |
],
|
211 |
"logging_steps": 2,
|
212 |
"max_steps": 20,
|
213 |
"num_input_tokens_seen": 0,
|
214 |
+
"num_train_epochs": 2,
|
215 |
"save_steps": 25,
|
216 |
"stateful_callbacks": {
|
217 |
"TrainerControl": {
|