End of training
Browse files- README.md +2 -2
- all_results.json +5 -5
- model.safetensors +1 -1
- train_results.json +5 -5
- trainer_state.json +283 -90
README.md
CHANGED
@@ -4,11 +4,11 @@ library_name: transformers
|
|
4 |
model_name: Qwen2.5-0.5B-Instruct-Gensyn-Swarm-quick_timid_frog
|
5 |
tags:
|
6 |
- generated_from_trainer
|
7 |
-
- rl-swarm
|
8 |
-
- gensyn
|
9 |
- grpo
|
|
|
10 |
- I am quick timid frog
|
11 |
- trl
|
|
|
12 |
licence: license
|
13 |
---
|
14 |
|
|
|
4 |
model_name: Qwen2.5-0.5B-Instruct-Gensyn-Swarm-quick_timid_frog
|
5 |
tags:
|
6 |
- generated_from_trainer
|
|
|
|
|
7 |
- grpo
|
8 |
+
- gensyn
|
9 |
- I am quick timid frog
|
10 |
- trl
|
11 |
+
- rl-swarm
|
12 |
licence: license
|
13 |
---
|
14 |
|
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
-
"train_loss": 0.
|
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": 0.15644574165344238,
|
4 |
+
"train_runtime": 1523.8731,
|
5 |
+
"train_samples": 79,
|
6 |
+
"train_samples_per_second": 0.105,
|
7 |
+
"train_steps_per_second": 0.013
|
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 sha256:24593988fb48726d4a5db5e2e37fe74d6a678e8b4785c2c95c767b747a674505
|
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":
|
6 |
-
"train_samples_per_second": 0.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 0.15644574165344238,
|
4 |
+
"train_runtime": 1523.8731,
|
5 |
+
"train_samples": 79,
|
6 |
+
"train_samples_per_second": 0.105,
|
7 |
+
"train_steps_per_second": 0.013
|
8 |
}
|
trainer_state.json
CHANGED
@@ -2,9 +2,9 @@
|
|
2 |
"best_global_step": null,
|
3 |
"best_metric": null,
|
4 |
"best_model_checkpoint": null,
|
5 |
-
"epoch":
|
6 |
"eval_steps": 500,
|
7 |
-
"global_step":
|
8 |
"is_hyper_param_search": false,
|
9 |
"is_local_process_zero": true,
|
10 |
"is_world_process_zero": true,
|
@@ -15,22 +15,22 @@
|
|
15 |
"clip_ratio/low_mean": 0.0,
|
16 |
"clip_ratio/low_min": 0.0,
|
17 |
"clip_ratio/region_mean": 0.0,
|
18 |
-
"completions/clipped_ratio": 0.
|
19 |
-
"completions/max_length":
|
20 |
-
"completions/max_terminated_length":
|
21 |
-
"completions/mean_length":
|
22 |
-
"completions/mean_terminated_length":
|
23 |
-
"completions/min_length":
|
24 |
-
"completions/min_terminated_length":
|
25 |
-
"epoch":
|
26 |
"frac_reward_zero_std": 0.0,
|
27 |
-
"grad_norm":
|
28 |
-
"kl":
|
29 |
"learning_rate": 5e-07,
|
30 |
-
"loss":
|
31 |
-
"num_tokens":
|
32 |
-
"reward":
|
33 |
-
"reward_std": 0.
|
34 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
35 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
36 |
"rewards/consensus_reward_func/mean": 0.0,
|
@@ -39,14 +39,14 @@
|
|
39 |
"rewards/cumulative_reward_2/std": 0.0,
|
40 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
41 |
"rewards/final_correctness_reward_func/std": 0.0,
|
42 |
-
"rewards/question_recreation_reward_func/mean": 0.
|
43 |
-
"rewards/question_recreation_reward_func/std": 0.
|
44 |
"rewards/soft_format_reward_func/mean": 0.0,
|
45 |
"rewards/soft_format_reward_func/std": 0.0,
|
46 |
"rewards/strict_format_reward_func/mean": 0.0,
|
47 |
"rewards/strict_format_reward_func/std": 0.0,
|
48 |
-
"rewards/xmlcount_reward_func/mean":
|
49 |
-
"rewards/xmlcount_reward_func/std": 0.
|
50 |
"step": 2
|
51 |
},
|
52 |
{
|
@@ -57,20 +57,20 @@
|
|
57 |
"clip_ratio/region_mean": 0.0,
|
58 |
"completions/clipped_ratio": 0.125,
|
59 |
"completions/max_length": 1024.0,
|
60 |
-
"completions/max_terminated_length":
|
61 |
-
"completions/mean_length":
|
62 |
-
"completions/mean_terminated_length":
|
63 |
-
"completions/min_length":
|
64 |
-
"completions/min_terminated_length":
|
65 |
-
"epoch":
|
66 |
"frac_reward_zero_std": 0.0,
|
67 |
-
"grad_norm":
|
68 |
-
"kl": 0.
|
69 |
"learning_rate": 4.864543104251586e-07,
|
70 |
-
"loss": 0.
|
71 |
-
"num_tokens":
|
72 |
-
"reward": 0.
|
73 |
-
"reward_std": 0.
|
74 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
75 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
76 |
"rewards/consensus_reward_func/mean": 0.0,
|
@@ -79,14 +79,14 @@
|
|
79 |
"rewards/cumulative_reward_2/std": 0.0,
|
80 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
81 |
"rewards/final_correctness_reward_func/std": 0.0,
|
82 |
-
"rewards/question_recreation_reward_func/mean": 0.
|
83 |
-
"rewards/question_recreation_reward_func/std": 0.
|
84 |
"rewards/soft_format_reward_func/mean": 0.0,
|
85 |
"rewards/soft_format_reward_func/std": 0.0,
|
86 |
"rewards/strict_format_reward_func/mean": 0.0,
|
87 |
"rewards/strict_format_reward_func/std": 0.0,
|
88 |
-
"rewards/xmlcount_reward_func/mean": 0.
|
89 |
-
"rewards/xmlcount_reward_func/std": 0.
|
90 |
"step": 4
|
91 |
},
|
92 |
{
|
@@ -96,21 +96,21 @@
|
|
96 |
"clip_ratio/low_min": 0.0,
|
97 |
"clip_ratio/region_mean": 0.0,
|
98 |
"completions/clipped_ratio": 0.125,
|
99 |
-
"completions/max_length":
|
100 |
-
"completions/max_terminated_length":
|
101 |
-
"completions/mean_length":
|
102 |
-
"completions/mean_terminated_length":
|
103 |
-
"completions/min_length":
|
104 |
-
"completions/min_terminated_length":
|
105 |
-
"epoch":
|
106 |
"frac_reward_zero_std": 0.0,
|
107 |
-
"grad_norm":
|
108 |
-
"kl": 0.
|
109 |
"learning_rate": 4.472851273490984e-07,
|
110 |
-
"loss": 0.
|
111 |
-
"num_tokens":
|
112 |
-
"reward": 0.
|
113 |
-
"reward_std": 0.
|
114 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
115 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
116 |
"rewards/consensus_reward_func/mean": 0.0,
|
@@ -119,8 +119,8 @@
|
|
119 |
"rewards/cumulative_reward_2/std": 0.0,
|
120 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
121 |
"rewards/final_correctness_reward_func/std": 0.0,
|
122 |
-
"rewards/question_recreation_reward_func/mean": 0.
|
123 |
-
"rewards/question_recreation_reward_func/std": 0.
|
124 |
"rewards/soft_format_reward_func/mean": 0.0,
|
125 |
"rewards/soft_format_reward_func/std": 0.0,
|
126 |
"rewards/strict_format_reward_func/mean": 0.0,
|
@@ -135,22 +135,22 @@
|
|
135 |
"clip_ratio/low_mean": 0.0,
|
136 |
"clip_ratio/low_min": 0.0,
|
137 |
"clip_ratio/region_mean": 0.0,
|
138 |
-
"completions/clipped_ratio": 0.
|
139 |
-
"completions/max_length":
|
140 |
-
"completions/max_terminated_length":
|
141 |
-
"completions/mean_length":
|
142 |
-
"completions/mean_terminated_length":
|
143 |
-
"completions/min_length":
|
144 |
-
"completions/min_terminated_length":
|
145 |
-
"epoch":
|
146 |
"frac_reward_zero_std": 0.0,
|
147 |
-
"grad_norm":
|
148 |
-
"kl": 0.
|
149 |
"learning_rate": 3.867370395306068e-07,
|
150 |
-
"loss": 0.
|
151 |
-
"num_tokens":
|
152 |
-
"reward": 0.
|
153 |
-
"reward_std": 0.
|
154 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
155 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
156 |
"rewards/consensus_reward_func/mean": 0.0,
|
@@ -159,8 +159,8 @@
|
|
159 |
"rewards/cumulative_reward_2/std": 0.0,
|
160 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
161 |
"rewards/final_correctness_reward_func/std": 0.0,
|
162 |
-
"rewards/question_recreation_reward_func/mean": 0.
|
163 |
-
"rewards/question_recreation_reward_func/std": 0.
|
164 |
"rewards/soft_format_reward_func/mean": 0.0,
|
165 |
"rewards/soft_format_reward_func/std": 0.0,
|
166 |
"rewards/strict_format_reward_func/mean": 0.0,
|
@@ -176,21 +176,21 @@
|
|
176 |
"clip_ratio/low_min": 0.0,
|
177 |
"clip_ratio/region_mean": 0.0,
|
178 |
"completions/clipped_ratio": 0.0625,
|
179 |
-
"completions/max_length":
|
180 |
-
"completions/max_terminated_length":
|
181 |
-
"completions/mean_length":
|
182 |
-
"completions/mean_terminated_length":
|
183 |
-
"completions/min_length":
|
184 |
-
"completions/min_terminated_length":
|
185 |
-
"epoch":
|
186 |
"frac_reward_zero_std": 0.0,
|
187 |
-
"grad_norm":
|
188 |
-
"kl": 0.
|
189 |
"learning_rate": 3.1137137178519977e-07,
|
190 |
-
"loss": 0.
|
191 |
-
"num_tokens":
|
192 |
-
"reward": 0.
|
193 |
-
"reward_std": 0.
|
194 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
195 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
196 |
"rewards/consensus_reward_func/mean": 0.0,
|
@@ -199,8 +199,8 @@
|
|
199 |
"rewards/cumulative_reward_2/std": 0.0,
|
200 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
201 |
"rewards/final_correctness_reward_func/std": 0.0,
|
202 |
-
"rewards/question_recreation_reward_func/mean": 0.
|
203 |
-
"rewards/question_recreation_reward_func/std": 0.
|
204 |
"rewards/soft_format_reward_func/mean": 0.0,
|
205 |
"rewards/soft_format_reward_func/std": 0.0,
|
206 |
"rewards/strict_format_reward_func/mean": 0.0,
|
@@ -210,19 +210,212 @@
|
|
210 |
"step": 10
|
211 |
},
|
212 |
{
|
213 |
-
"
|
214 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
215 |
"total_flos": 0.0,
|
216 |
-
"train_loss": 0.
|
217 |
-
"train_runtime":
|
218 |
-
"train_samples_per_second": 0.
|
219 |
-
"train_steps_per_second": 0.
|
220 |
}
|
221 |
],
|
222 |
"logging_steps": 2,
|
223 |
"max_steps": 20,
|
224 |
-
"num_input_tokens_seen":
|
225 |
-
"num_train_epochs":
|
226 |
"save_steps": 25,
|
227 |
"stateful_callbacks": {
|
228 |
"TrainerControl": {
|
|
|
2 |
"best_global_step": null,
|
3 |
"best_metric": null,
|
4 |
"best_model_checkpoint": null,
|
5 |
+
"epoch": 0.9620253164556962,
|
6 |
"eval_steps": 500,
|
7 |
+
"global_step": 19,
|
8 |
"is_hyper_param_search": false,
|
9 |
"is_local_process_zero": true,
|
10 |
"is_world_process_zero": true,
|
|
|
15 |
"clip_ratio/low_mean": 0.0,
|
16 |
"clip_ratio/low_min": 0.0,
|
17 |
"clip_ratio/region_mean": 0.0,
|
18 |
+
"completions/clipped_ratio": 0.125,
|
19 |
+
"completions/max_length": 931.0,
|
20 |
+
"completions/max_terminated_length": 819.5,
|
21 |
+
"completions/mean_length": 412.1875,
|
22 |
+
"completions/mean_terminated_length": 329.5833435058594,
|
23 |
+
"completions/min_length": 87.0,
|
24 |
+
"completions/min_terminated_length": 87.0,
|
25 |
+
"epoch": 0.10126582278481013,
|
26 |
"frac_reward_zero_std": 0.0,
|
27 |
+
"grad_norm": 5.04105806350708,
|
28 |
+
"kl": -5.448857809398078e-09,
|
29 |
"learning_rate": 5e-07,
|
30 |
+
"loss": 0.1398,
|
31 |
+
"num_tokens": 10691.0,
|
32 |
+
"reward": 0.01983704511076212,
|
33 |
+
"reward_std": 0.008039223263040185,
|
34 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
35 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
36 |
"rewards/consensus_reward_func/mean": 0.0,
|
|
|
39 |
"rewards/cumulative_reward_2/std": 0.0,
|
40 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
41 |
"rewards/final_correctness_reward_func/std": 0.0,
|
42 |
+
"rewards/question_recreation_reward_func/mean": 0.01983704511076212,
|
43 |
+
"rewards/question_recreation_reward_func/std": 0.012273336760699749,
|
44 |
"rewards/soft_format_reward_func/mean": 0.0,
|
45 |
"rewards/soft_format_reward_func/std": 0.0,
|
46 |
"rewards/strict_format_reward_func/mean": 0.0,
|
47 |
"rewards/strict_format_reward_func/std": 0.0,
|
48 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
49 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
50 |
"step": 2
|
51 |
},
|
52 |
{
|
|
|
57 |
"clip_ratio/region_mean": 0.0,
|
58 |
"completions/clipped_ratio": 0.125,
|
59 |
"completions/max_length": 1024.0,
|
60 |
+
"completions/max_terminated_length": 569.0,
|
61 |
+
"completions/mean_length": 401.1875,
|
62 |
+
"completions/mean_terminated_length": 312.21429443359375,
|
63 |
+
"completions/min_length": 53.5,
|
64 |
+
"completions/min_terminated_length": 53.5,
|
65 |
+
"epoch": 0.20253164556962025,
|
66 |
"frac_reward_zero_std": 0.0,
|
67 |
+
"grad_norm": 3.7304916381835938,
|
68 |
+
"kl": 0.0002279730260852375,
|
69 |
"learning_rate": 4.864543104251586e-07,
|
70 |
+
"loss": 0.1637,
|
71 |
+
"num_tokens": 21206.0,
|
72 |
+
"reward": -0.1395124290138483,
|
73 |
+
"reward_std": 0.21926994435489178,
|
74 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
75 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
76 |
"rewards/consensus_reward_func/mean": 0.0,
|
|
|
79 |
"rewards/cumulative_reward_2/std": 0.0,
|
80 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
81 |
"rewards/final_correctness_reward_func/std": 0.0,
|
82 |
+
"rewards/question_recreation_reward_func/mean": 0.010925075970590115,
|
83 |
+
"rewards/question_recreation_reward_func/std": 0.009428349556401372,
|
84 |
"rewards/soft_format_reward_func/mean": 0.0,
|
85 |
"rewards/soft_format_reward_func/std": 0.0,
|
86 |
"rewards/strict_format_reward_func/mean": 0.0,
|
87 |
"rewards/strict_format_reward_func/std": 0.0,
|
88 |
+
"rewards/xmlcount_reward_func/mean": -0.15043750405311584,
|
89 |
+
"rewards/xmlcount_reward_func/std": 0.4255015254020691,
|
90 |
"step": 4
|
91 |
},
|
92 |
{
|
|
|
96 |
"clip_ratio/low_min": 0.0,
|
97 |
"clip_ratio/region_mean": 0.0,
|
98 |
"completions/clipped_ratio": 0.125,
|
99 |
+
"completions/max_length": 887.0,
|
100 |
+
"completions/max_terminated_length": 672.5,
|
101 |
+
"completions/mean_length": 362.0,
|
102 |
+
"completions/mean_terminated_length": 257.3125,
|
103 |
+
"completions/min_length": 12.5,
|
104 |
+
"completions/min_terminated_length": 12.5,
|
105 |
+
"epoch": 0.3037974683544304,
|
106 |
"frac_reward_zero_std": 0.0,
|
107 |
+
"grad_norm": 7.230990886688232,
|
108 |
+
"kl": 0.0008080850275291596,
|
109 |
"learning_rate": 4.472851273490984e-07,
|
110 |
+
"loss": 0.2574,
|
111 |
+
"num_tokens": 31094.0,
|
112 |
+
"reward": 0.022412247024476528,
|
113 |
+
"reward_std": 0.011643366422504187,
|
114 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
115 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
116 |
"rewards/consensus_reward_func/mean": 0.0,
|
|
|
119 |
"rewards/cumulative_reward_2/std": 0.0,
|
120 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
121 |
"rewards/final_correctness_reward_func/std": 0.0,
|
122 |
+
"rewards/question_recreation_reward_func/mean": 0.022412247024476528,
|
123 |
+
"rewards/question_recreation_reward_func/std": 0.01874966360628605,
|
124 |
"rewards/soft_format_reward_func/mean": 0.0,
|
125 |
"rewards/soft_format_reward_func/std": 0.0,
|
126 |
"rewards/strict_format_reward_func/mean": 0.0,
|
|
|
135 |
"clip_ratio/low_mean": 0.0,
|
136 |
"clip_ratio/low_min": 0.0,
|
137 |
"clip_ratio/region_mean": 0.0,
|
138 |
+
"completions/clipped_ratio": 0.1875,
|
139 |
+
"completions/max_length": 862.5,
|
140 |
+
"completions/max_terminated_length": 702.5,
|
141 |
+
"completions/mean_length": 461.6875,
|
142 |
+
"completions/mean_terminated_length": 357.3249969482422,
|
143 |
+
"completions/min_length": 67.0,
|
144 |
+
"completions/min_terminated_length": 67.0,
|
145 |
+
"epoch": 0.4050632911392405,
|
146 |
"frac_reward_zero_std": 0.0,
|
147 |
+
"grad_norm": 3.539825677871704,
|
148 |
+
"kl": 0.0011349972373864148,
|
149 |
"learning_rate": 3.867370395306068e-07,
|
150 |
+
"loss": 0.2018,
|
151 |
+
"num_tokens": 42577.0,
|
152 |
+
"reward": 0.10562402009963989,
|
153 |
+
"reward_std": 0.061309706419706345,
|
154 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
155 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
156 |
"rewards/consensus_reward_func/mean": 0.0,
|
|
|
159 |
"rewards/cumulative_reward_2/std": 0.0,
|
160 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
161 |
"rewards/final_correctness_reward_func/std": 0.0,
|
162 |
+
"rewards/question_recreation_reward_func/mean": 0.10562402009963989,
|
163 |
+
"rewards/question_recreation_reward_func/std": 0.05985743924975395,
|
164 |
"rewards/soft_format_reward_func/mean": 0.0,
|
165 |
"rewards/soft_format_reward_func/std": 0.0,
|
166 |
"rewards/strict_format_reward_func/mean": 0.0,
|
|
|
176 |
"clip_ratio/low_min": 0.0,
|
177 |
"clip_ratio/region_mean": 0.0,
|
178 |
"completions/clipped_ratio": 0.0625,
|
179 |
+
"completions/max_length": 664.0,
|
180 |
+
"completions/max_terminated_length": 436.5,
|
181 |
+
"completions/mean_length": 222.4375,
|
182 |
+
"completions/mean_terminated_length": 173.0357208251953,
|
183 |
+
"completions/min_length": 4.5,
|
184 |
+
"completions/min_terminated_length": 4.5,
|
185 |
+
"epoch": 0.5063291139240507,
|
186 |
"frac_reward_zero_std": 0.0,
|
187 |
+
"grad_norm": 13.28281021118164,
|
188 |
+
"kl": 0.0055584801666554995,
|
189 |
"learning_rate": 3.1137137178519977e-07,
|
190 |
+
"loss": 0.0764,
|
191 |
+
"num_tokens": 50232.0,
|
192 |
+
"reward": 0.05675883777439594,
|
193 |
+
"reward_std": 0.017147527541965246,
|
194 |
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
195 |
"rewards/concensus_correctness_reward_func/std": 0.0,
|
196 |
"rewards/consensus_reward_func/mean": 0.0,
|
|
|
199 |
"rewards/cumulative_reward_2/std": 0.0,
|
200 |
"rewards/final_correctness_reward_func/mean": 0.0,
|
201 |
"rewards/final_correctness_reward_func/std": 0.0,
|
202 |
+
"rewards/question_recreation_reward_func/mean": 0.05675883777439594,
|
203 |
+
"rewards/question_recreation_reward_func/std": 0.02832796238362789,
|
204 |
"rewards/soft_format_reward_func/mean": 0.0,
|
205 |
"rewards/soft_format_reward_func/std": 0.0,
|
206 |
"rewards/strict_format_reward_func/mean": 0.0,
|
|
|
210 |
"step": 10
|
211 |
},
|
212 |
{
|
213 |
+
"clip_ratio/high_max": 0.0,
|
214 |
+
"clip_ratio/high_mean": 0.0,
|
215 |
+
"clip_ratio/low_mean": 0.0,
|
216 |
+
"clip_ratio/low_min": 0.0,
|
217 |
+
"clip_ratio/region_mean": 0.0,
|
218 |
+
"completions/clipped_ratio": 0.125,
|
219 |
+
"completions/max_length": 681.5,
|
220 |
+
"completions/max_terminated_length": 319.0,
|
221 |
+
"completions/mean_length": 298.25,
|
222 |
+
"completions/mean_terminated_length": 195.8541717529297,
|
223 |
+
"completions/min_length": 73.5,
|
224 |
+
"completions/min_terminated_length": 73.5,
|
225 |
+
"epoch": 0.6075949367088608,
|
226 |
+
"frac_reward_zero_std": 0.0,
|
227 |
+
"grad_norm": 8.755450248718262,
|
228 |
+
"kl": 0.0035302894830238074,
|
229 |
+
"learning_rate": 2.2935516363191693e-07,
|
230 |
+
"loss": 0.2667,
|
231 |
+
"num_tokens": 59100.0,
|
232 |
+
"reward": 0.015352241694927216,
|
233 |
+
"reward_std": 0.0057732411660254,
|
234 |
+
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
235 |
+
"rewards/concensus_correctness_reward_func/std": 0.0,
|
236 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
237 |
+
"rewards/consensus_reward_func/std": 0.0,
|
238 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
239 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
240 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
241 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
242 |
+
"rewards/question_recreation_reward_func/mean": 0.015352241694927216,
|
243 |
+
"rewards/question_recreation_reward_func/std": 0.006488756742328405,
|
244 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
245 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
246 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
247 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
248 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
249 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
250 |
+
"step": 12
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"clip_ratio/high_max": 0.0,
|
254 |
+
"clip_ratio/high_mean": 0.0,
|
255 |
+
"clip_ratio/low_mean": 0.0,
|
256 |
+
"clip_ratio/low_min": 0.0,
|
257 |
+
"clip_ratio/region_mean": 0.0,
|
258 |
+
"completions/clipped_ratio": 0.125,
|
259 |
+
"completions/max_length": 991.0,
|
260 |
+
"completions/max_terminated_length": 756.5,
|
261 |
+
"completions/mean_length": 509.4375,
|
262 |
+
"completions/mean_terminated_length": 421.9583435058594,
|
263 |
+
"completions/min_length": 36.5,
|
264 |
+
"completions/min_terminated_length": 36.5,
|
265 |
+
"epoch": 0.7088607594936709,
|
266 |
+
"frac_reward_zero_std": 0.0,
|
267 |
+
"grad_norm": 4.25427770614624,
|
268 |
+
"kl": 0.001760676721460186,
|
269 |
+
"learning_rate": 1.4957614383675767e-07,
|
270 |
+
"loss": 0.2682,
|
271 |
+
"num_tokens": 71347.0,
|
272 |
+
"reward": -0.05695461109280586,
|
273 |
+
"reward_std": 0.22896763868629932,
|
274 |
+
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
275 |
+
"rewards/concensus_correctness_reward_func/std": 0.0,
|
276 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
277 |
+
"rewards/consensus_reward_func/std": 0.0,
|
278 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
279 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
280 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
281 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
282 |
+
"rewards/question_recreation_reward_func/mean": 0.05810788832604885,
|
283 |
+
"rewards/question_recreation_reward_func/std": 0.04673689045011997,
|
284 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
285 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
286 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
287 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
288 |
+
"rewards/xmlcount_reward_func/mean": -0.11506249755620956,
|
289 |
+
"rewards/xmlcount_reward_func/std": 0.3688294589519501,
|
290 |
+
"step": 14
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"clip_ratio/high_max": 0.0,
|
294 |
+
"clip_ratio/high_mean": 0.0,
|
295 |
+
"clip_ratio/low_mean": 0.0,
|
296 |
+
"clip_ratio/low_min": 0.0,
|
297 |
+
"clip_ratio/region_mean": 0.0,
|
298 |
+
"completions/clipped_ratio": 0.0,
|
299 |
+
"completions/max_length": 214.0,
|
300 |
+
"completions/max_terminated_length": 214.0,
|
301 |
+
"completions/mean_length": 103.6875,
|
302 |
+
"completions/mean_terminated_length": 103.6875,
|
303 |
+
"completions/min_length": 5.0,
|
304 |
+
"completions/min_terminated_length": 5.0,
|
305 |
+
"epoch": 0.810126582278481,
|
306 |
+
"frac_reward_zero_std": 0.0,
|
307 |
+
"grad_norm": 12.23747444152832,
|
308 |
+
"kl": 0.007723030605120584,
|
309 |
+
"learning_rate": 8.067960709356478e-08,
|
310 |
+
"loss": 0.0009,
|
311 |
+
"num_tokens": 77102.0,
|
312 |
+
"reward": 0.17531824856996536,
|
313 |
+
"reward_std": 0.03592286352068186,
|
314 |
+
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
315 |
+
"rewards/concensus_correctness_reward_func/std": 0.0,
|
316 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
317 |
+
"rewards/consensus_reward_func/std": 0.0,
|
318 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
319 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
320 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
321 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
322 |
+
"rewards/question_recreation_reward_func/mean": 0.17531824856996536,
|
323 |
+
"rewards/question_recreation_reward_func/std": 0.045727355405688286,
|
324 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
325 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
326 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
327 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
328 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
329 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
330 |
+
"step": 16
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"clip_ratio/high_max": 0.0,
|
334 |
+
"clip_ratio/high_mean": 0.0,
|
335 |
+
"clip_ratio/low_mean": 0.0,
|
336 |
+
"clip_ratio/low_min": 0.0,
|
337 |
+
"clip_ratio/region_mean": 0.0,
|
338 |
+
"completions/clipped_ratio": 0.0625,
|
339 |
+
"completions/max_length": 824.0,
|
340 |
+
"completions/max_terminated_length": 530.5,
|
341 |
+
"completions/mean_length": 194.3125,
|
342 |
+
"completions/mean_terminated_length": 137.34821701049805,
|
343 |
+
"completions/min_length": 3.5,
|
344 |
+
"completions/min_terminated_length": 3.5,
|
345 |
+
"epoch": 0.9113924050632911,
|
346 |
+
"frac_reward_zero_std": 0.125,
|
347 |
+
"grad_norm": 9.846582412719727,
|
348 |
+
"kl": 0.006351641248329543,
|
349 |
+
"learning_rate": 3.013156219837776e-08,
|
350 |
+
"loss": 0.0552,
|
351 |
+
"num_tokens": 84307.0,
|
352 |
+
"reward": 0.13931425474584103,
|
353 |
+
"reward_std": 0.058048633858561516,
|
354 |
+
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
355 |
+
"rewards/concensus_correctness_reward_func/std": 0.0,
|
356 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
357 |
+
"rewards/consensus_reward_func/std": 0.0,
|
358 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
359 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
360 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
361 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
362 |
+
"rewards/question_recreation_reward_func/mean": 0.13931425474584103,
|
363 |
+
"rewards/question_recreation_reward_func/std": 0.15117722004652023,
|
364 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
365 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
366 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
367 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
368 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
369 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
370 |
+
"step": 18
|
371 |
+
},
|
372 |
+
{
|
373 |
+
"clip_ratio/high_max": 0.0,
|
374 |
+
"clip_ratio/high_mean": 0.0,
|
375 |
+
"clip_ratio/low_mean": 0.0,
|
376 |
+
"clip_ratio/low_min": 0.0,
|
377 |
+
"clip_ratio/region_mean": 0.0,
|
378 |
+
"completions/clipped_ratio": 0.5,
|
379 |
+
"completions/max_length": 1024.0,
|
380 |
+
"completions/max_terminated_length": 565.0,
|
381 |
+
"completions/mean_length": 665.25,
|
382 |
+
"completions/mean_terminated_length": 306.5,
|
383 |
+
"completions/min_length": 5.0,
|
384 |
+
"completions/min_terminated_length": 5.0,
|
385 |
+
"epoch": 0.9620253164556962,
|
386 |
+
"frac_reward_zero_std": 0.0,
|
387 |
+
"kl": 0.002655731455888599,
|
388 |
+
"num_tokens": 91677.0,
|
389 |
+
"reward": 0.012782756239175797,
|
390 |
+
"reward_std": 0.005160772241652012,
|
391 |
+
"rewards/concensus_correctness_reward_func/mean": 0.0,
|
392 |
+
"rewards/concensus_correctness_reward_func/std": 0.0,
|
393 |
+
"rewards/consensus_reward_func/mean": 0.0,
|
394 |
+
"rewards/consensus_reward_func/std": 0.0,
|
395 |
+
"rewards/cumulative_reward_2/mean": 0.0,
|
396 |
+
"rewards/cumulative_reward_2/std": 0.0,
|
397 |
+
"rewards/final_correctness_reward_func/mean": 0.0,
|
398 |
+
"rewards/final_correctness_reward_func/std": 0.0,
|
399 |
+
"rewards/question_recreation_reward_func/mean": 0.012782756239175797,
|
400 |
+
"rewards/question_recreation_reward_func/std": 0.008415077812969685,
|
401 |
+
"rewards/soft_format_reward_func/mean": 0.0,
|
402 |
+
"rewards/soft_format_reward_func/std": 0.0,
|
403 |
+
"rewards/strict_format_reward_func/mean": 0.0,
|
404 |
+
"rewards/strict_format_reward_func/std": 0.0,
|
405 |
+
"rewards/xmlcount_reward_func/mean": 0.0,
|
406 |
+
"rewards/xmlcount_reward_func/std": 0.0,
|
407 |
+
"step": 19,
|
408 |
"total_flos": 0.0,
|
409 |
+
"train_loss": 0.15644574165344238,
|
410 |
+
"train_runtime": 1523.8731,
|
411 |
+
"train_samples_per_second": 0.105,
|
412 |
+
"train_steps_per_second": 0.013
|
413 |
}
|
414 |
],
|
415 |
"logging_steps": 2,
|
416 |
"max_steps": 20,
|
417 |
+
"num_input_tokens_seen": 91677,
|
418 |
+
"num_train_epochs": 1,
|
419 |
"save_steps": 25,
|
420 |
"stateful_callbacks": {
|
421 |
"TrainerControl": {
|