End of training
Browse files- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
- all_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +123 -123
- training_args.bin +1 -1
adapter_config.json
CHANGED
@@ -25,12 +25,12 @@
|
|
25 |
"revision": null,
|
26 |
"target_modules": [
|
27 |
"v_proj",
|
28 |
-
"down_proj",
|
29 |
-
"q_proj",
|
30 |
-
"o_proj",
|
31 |
"up_proj",
|
32 |
"k_proj",
|
33 |
-
"gate_proj"
|
|
|
|
|
|
|
34 |
],
|
35 |
"task_type": "CAUSAL_LM",
|
36 |
"trainable_token_indices": null,
|
|
|
25 |
"revision": null,
|
26 |
"target_modules": [
|
27 |
"v_proj",
|
|
|
|
|
|
|
28 |
"up_proj",
|
29 |
"k_proj",
|
30 |
+
"gate_proj",
|
31 |
+
"q_proj",
|
32 |
+
"down_proj",
|
33 |
+
"o_proj"
|
34 |
],
|
35 |
"task_type": "CAUSAL_LM",
|
36 |
"trainable_token_indices": null,
|
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:d5aa03f5f63734fc9cb08d204dc9801b70d80b6a766ee92884c4551f0a934f7e
|
3 |
size 73911112
|
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": 4.897040355444915e-07,
|
4 |
+
"train_runtime": 1090.847,
|
5 |
+
"train_samples": 11,
|
6 |
+
"train_samples_per_second": 0.293,
|
7 |
+
"train_steps_per_second": 0.018
|
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":
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 4.897040355444915e-07,
|
4 |
+
"train_runtime": 1090.847,
|
5 |
+
"train_samples": 11,
|
6 |
+
"train_samples_per_second": 0.293,
|
7 |
+
"train_steps_per_second": 0.018
|
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,
|
@@ -10,209 +10,209 @@
|
|
10 |
"is_world_process_zero": true,
|
11 |
"log_history": [
|
12 |
{
|
13 |
-
"completion_length":
|
14 |
-
"epoch": 0.
|
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": 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": 1.
|
34 |
-
"grad_norm": 0.
|
35 |
-
"kl": 0.
|
36 |
"learning_rate": 4.864543104251586e-07,
|
37 |
"loss": 0.0,
|
38 |
-
"reward":
|
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": 0.
|
44 |
-
"rewards/question_recreation_reward_func": 0.
|
45 |
"rewards/soft_format_reward_func": 0.0,
|
46 |
"rewards/strict_format_reward_func": 0.0,
|
47 |
-
"rewards/xmlcount_reward_func": 0.
|
48 |
"step": 4
|
49 |
},
|
50 |
{
|
51 |
-
"completion_length":
|
52 |
-
"epoch":
|
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": 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": 2.
|
72 |
-
"grad_norm": 0.
|
73 |
-
"kl": 0.
|
74 |
"learning_rate": 3.867370395306068e-07,
|
75 |
"loss": 0.0,
|
76 |
-
"reward": 1.
|
77 |
-
"reward_std": 1.
|
78 |
-
"rewards/concensus_correctness_reward_func": 0.
|
79 |
-
"rewards/consensus_reward_func": 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": 0.0,
|
85 |
-
"rewards/xmlcount_reward_func": 0.
|
86 |
"step": 8
|
87 |
},
|
88 |
{
|
89 |
-
"completion_length":
|
90 |
-
"epoch":
|
91 |
-
"grad_norm": 0.
|
92 |
-
"kl": 0.
|
93 |
"learning_rate": 3.1137137178519977e-07,
|
94 |
"loss": 0.0,
|
95 |
-
"reward": 2.
|
96 |
-
"reward_std": 2.
|
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": 0.
|
105 |
"step": 10
|
106 |
},
|
107 |
{
|
108 |
-
"completion_length":
|
109 |
-
"epoch":
|
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": 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":
|
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": 1.
|
136 |
-
"rewards/consensus_reward_func": 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.
|
142 |
-
"rewards/xmlcount_reward_func": 0.
|
143 |
"step": 14
|
144 |
},
|
145 |
{
|
146 |
-
"completion_length":
|
147 |
-
"epoch":
|
148 |
-
"grad_norm": 0.
|
149 |
-
"kl": 0.
|
150 |
"learning_rate": 8.067960709356478e-08,
|
151 |
-
"loss": 0.0,
|
152 |
-
"reward":
|
153 |
-
"reward_std": 2.
|
154 |
-
"rewards/concensus_correctness_reward_func":
|
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":
|
167 |
-
"grad_norm": 0.
|
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":
|
186 |
-
"grad_norm": 0.
|
187 |
-
"kl": 0.
|
188 |
"learning_rate": 3.4096741493194193e-09,
|
189 |
"loss": 0.0,
|
190 |
-
"reward": 1.
|
191 |
-
"reward_std":
|
192 |
-
"rewards/concensus_correctness_reward_func": 0.
|
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": 0.0,
|
199 |
-
"rewards/xmlcount_reward_func": 0.
|
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,
|
213 |
"max_steps": 20,
|
214 |
"num_input_tokens_seen": 0,
|
215 |
-
"num_train_epochs":
|
216 |
"save_steps": 25,
|
217 |
"stateful_callbacks": {
|
218 |
"TrainerControl": {
|
|
|
2 |
"best_global_step": null,
|
3 |
"best_metric": null,
|
4 |
"best_model_checkpoint": null,
|
5 |
+
"epoch": 6.7272727272727275,
|
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": 308.3125,
|
14 |
+
"epoch": 0.7272727272727273,
|
15 |
+
"grad_norm": 0.6000280380249023,
|
16 |
+
"kl": 0.0,
|
17 |
"learning_rate": 5e-07,
|
18 |
+
"loss": -0.0,
|
19 |
+
"reward": 0.909564670175314,
|
20 |
+
"reward_std": 0.8405304190819152,
|
21 |
+
"rewards/concensus_correctness_reward_func": 0.0,
|
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": 0.5372834168374538,
|
26 |
"rewards/soft_format_reward_func": 0.0,
|
27 |
+
"rewards/strict_format_reward_func": 0.03125,
|
28 |
+
"rewards/xmlcount_reward_func": 0.2785312468186021,
|
29 |
"step": 2
|
30 |
},
|
31 |
{
|
32 |
+
"completion_length": 387.89285714285717,
|
33 |
+
"epoch": 1.3636363636363638,
|
34 |
+
"grad_norm": 0.47270771861076355,
|
35 |
+
"kl": 0.0008392650883511773,
|
36 |
"learning_rate": 4.864543104251586e-07,
|
37 |
"loss": 0.0,
|
38 |
+
"reward": 2.5110427141189575,
|
39 |
+
"reward_std": 2.5342068799904416,
|
40 |
+
"rewards/concensus_correctness_reward_func": 0.75,
|
41 |
+
"rewards/consensus_reward_func": 0.21428571428571427,
|
42 |
"rewards/cumulative_reward_2": 0.0,
|
43 |
+
"rewards/final_correctness_reward_func": 0.35714285714285715,
|
44 |
+
"rewards/question_recreation_reward_func": 0.5590784060103553,
|
45 |
"rewards/soft_format_reward_func": 0.0,
|
46 |
"rewards/strict_format_reward_func": 0.0,
|
47 |
+
"rewards/xmlcount_reward_func": 0.6305357217788696,
|
48 |
"step": 4
|
49 |
},
|
50 |
{
|
51 |
+
"completion_length": 288.32142857142856,
|
52 |
+
"epoch": 2.0,
|
53 |
+
"grad_norm": 0.9542892575263977,
|
54 |
+
"kl": 0.0009663021774031222,
|
55 |
"learning_rate": 4.472851273490984e-07,
|
56 |
"loss": 0.0,
|
57 |
+
"reward": 1.170509974871363,
|
58 |
+
"reward_std": 0.7048059260206563,
|
59 |
+
"rewards/concensus_correctness_reward_func": 0.0,
|
60 |
+
"rewards/consensus_reward_func": 0.0,
|
61 |
"rewards/cumulative_reward_2": 0.0,
|
62 |
+
"rewards/final_correctness_reward_func": 0.35714285714285715,
|
63 |
+
"rewards/question_recreation_reward_func": 0.4116528176569513,
|
64 |
"rewards/soft_format_reward_func": 0.0,
|
65 |
"rewards/strict_format_reward_func": 0.0,
|
66 |
+
"rewards/xmlcount_reward_func": 0.4017142823764256,
|
67 |
"step": 6
|
68 |
},
|
69 |
{
|
70 |
+
"completion_length": 368.5625,
|
71 |
+
"epoch": 2.7272727272727275,
|
72 |
+
"grad_norm": 0.4186118245124817,
|
73 |
+
"kl": 0.0008336683677043766,
|
74 |
"learning_rate": 3.867370395306068e-07,
|
75 |
"loss": 0.0,
|
76 |
+
"reward": 1.4782422371208668,
|
77 |
+
"reward_std": 1.4278910955326864,
|
78 |
+
"rewards/concensus_correctness_reward_func": 0.35118750110268593,
|
79 |
+
"rewards/consensus_reward_func": 0.125,
|
80 |
"rewards/cumulative_reward_2": 0.0,
|
81 |
+
"rewards/final_correctness_reward_func": 0.4375,
|
82 |
+
"rewards/question_recreation_reward_func": 0.3739297694992274,
|
83 |
"rewards/soft_format_reward_func": 0.0,
|
84 |
"rewards/strict_format_reward_func": 0.0,
|
85 |
+
"rewards/xmlcount_reward_func": 0.19062500353902578,
|
86 |
"step": 8
|
87 |
},
|
88 |
{
|
89 |
+
"completion_length": 363.82142857142856,
|
90 |
+
"epoch": 3.3636363636363638,
|
91 |
+
"grad_norm": 0.5186935067176819,
|
92 |
+
"kl": 0.0008661752134295446,
|
93 |
"learning_rate": 3.1137137178519977e-07,
|
94 |
"loss": 0.0,
|
95 |
+
"reward": 2.3520706466266086,
|
96 |
+
"reward_std": 2.343413374253682,
|
97 |
+
"rewards/concensus_correctness_reward_func": 0.8392857142857143,
|
98 |
+
"rewards/consensus_reward_func": 0.14285714285714285,
|
99 |
"rewards/cumulative_reward_2": 0.0,
|
100 |
+
"rewards/final_correctness_reward_func": 0.21428571428571427,
|
101 |
+
"rewards/question_recreation_reward_func": 0.6217134882296834,
|
102 |
"rewards/soft_format_reward_func": 0.0,
|
103 |
"rewards/strict_format_reward_func": 0.0,
|
104 |
+
"rewards/xmlcount_reward_func": 0.5339285731315613,
|
105 |
"step": 10
|
106 |
},
|
107 |
{
|
108 |
+
"completion_length": 335.32142857142856,
|
109 |
+
"epoch": 4.0,
|
110 |
+
"grad_norm": 0.40881654620170593,
|
111 |
+
"kl": 0.0008830937939429921,
|
112 |
"learning_rate": 2.2935516363191693e-07,
|
113 |
"loss": 0.0,
|
114 |
+
"reward": 0.9431978527988706,
|
115 |
+
"reward_std": 0.9636511317346178,
|
116 |
+
"rewards/concensus_correctness_reward_func": 0.0442142869744982,
|
117 |
+
"rewards/consensus_reward_func": 0.07142857142857142,
|
118 |
"rewards/cumulative_reward_2": 0.0,
|
119 |
+
"rewards/final_correctness_reward_func": 0.2857142857142857,
|
120 |
+
"rewards/question_recreation_reward_func": 0.28391214460134506,
|
121 |
"rewards/soft_format_reward_func": 0.0,
|
122 |
"rewards/strict_format_reward_func": 0.0,
|
123 |
+
"rewards/xmlcount_reward_func": 0.2579285715307508,
|
124 |
"step": 12
|
125 |
},
|
126 |
{
|
127 |
+
"completion_length": 395.0,
|
128 |
+
"epoch": 4.7272727272727275,
|
129 |
+
"grad_norm": 0.4665830135345459,
|
130 |
+
"kl": 0.0007938470225781202,
|
131 |
"learning_rate": 1.4957614383675767e-07,
|
132 |
"loss": 0.0,
|
133 |
+
"reward": 2.6766241267323494,
|
134 |
+
"reward_std": 2.357332043349743,
|
135 |
+
"rewards/concensus_correctness_reward_func": 1.25,
|
136 |
+
"rewards/consensus_reward_func": 0.1875,
|
137 |
"rewards/cumulative_reward_2": 0.0,
|
138 |
+
"rewards/final_correctness_reward_func": 0.1875,
|
139 |
+
"rewards/question_recreation_reward_func": 0.6196865616366267,
|
140 |
"rewards/soft_format_reward_func": 0.0,
|
141 |
+
"rewards/strict_format_reward_func": 0.0,
|
142 |
+
"rewards/xmlcount_reward_func": 0.4319375120103359,
|
143 |
"step": 14
|
144 |
},
|
145 |
{
|
146 |
+
"completion_length": 363.5357142857143,
|
147 |
+
"epoch": 5.363636363636363,
|
148 |
+
"grad_norm": 0.4923468232154846,
|
149 |
+
"kl": 0.0008862724145209151,
|
150 |
"learning_rate": 8.067960709356478e-08,
|
151 |
+
"loss": -0.0,
|
152 |
+
"reward": 2.118965187243053,
|
153 |
+
"reward_std": 2.2687917195850917,
|
154 |
+
"rewards/concensus_correctness_reward_func": 0.7142857142857143,
|
155 |
+
"rewards/consensus_reward_func": 0.14285714285714285,
|
156 |
"rewards/cumulative_reward_2": 0.0,
|
157 |
+
"rewards/final_correctness_reward_func": 0.42857142857142855,
|
158 |
+
"rewards/question_recreation_reward_func": 0.4556793837941119,
|
159 |
"rewards/soft_format_reward_func": 0.0,
|
160 |
"rewards/strict_format_reward_func": 0.0,
|
161 |
+
"rewards/xmlcount_reward_func": 0.37757142526762827,
|
162 |
"step": 16
|
163 |
},
|
164 |
{
|
165 |
+
"completion_length": 322.64285714285717,
|
166 |
+
"epoch": 6.0,
|
167 |
+
"grad_norm": 0.450918048620224,
|
168 |
+
"kl": 0.0008349009772895702,
|
169 |
"learning_rate": 3.013156219837776e-08,
|
170 |
+
"loss": -0.0,
|
171 |
+
"reward": 1.394048320395606,
|
172 |
+
"reward_std": 0.9764726414578035,
|
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": 0.2857142857142857,
|
177 |
+
"rewards/question_recreation_reward_func": 0.5164054871669838,
|
178 |
"rewards/soft_format_reward_func": 0.0,
|
179 |
+
"rewards/strict_format_reward_func": 0.017857142857142856,
|
180 |
+
"rewards/xmlcount_reward_func": 0.5740714243480137,
|
181 |
"step": 18
|
182 |
},
|
183 |
{
|
184 |
+
"completion_length": 311.28125,
|
185 |
+
"epoch": 6.7272727272727275,
|
186 |
+
"grad_norm": 0.8445176482200623,
|
187 |
+
"kl": 0.0009809081529965624,
|
188 |
"learning_rate": 3.4096741493194193e-09,
|
189 |
"loss": 0.0,
|
190 |
+
"reward": 1.2761643175035715,
|
191 |
+
"reward_std": 0.9043446108698845,
|
192 |
+
"rewards/concensus_correctness_reward_func": 0.05431250110268593,
|
193 |
+
"rewards/consensus_reward_func": 0.0,
|
194 |
"rewards/cumulative_reward_2": 0.0,
|
195 |
+
"rewards/final_correctness_reward_func": 0.3125,
|
196 |
+
"rewards/question_recreation_reward_func": 0.4313830805476755,
|
197 |
"rewards/soft_format_reward_func": 0.0,
|
198 |
"rewards/strict_format_reward_func": 0.0,
|
199 |
+
"rewards/xmlcount_reward_func": 0.4779687486588955,
|
200 |
"step": 20
|
201 |
},
|
202 |
{
|
203 |
+
"epoch": 6.7272727272727275,
|
204 |
"step": 20,
|
205 |
"total_flos": 0.0,
|
206 |
+
"train_loss": 4.897040355444915e-07,
|
207 |
+
"train_runtime": 1090.847,
|
208 |
+
"train_samples_per_second": 0.293,
|
209 |
+
"train_steps_per_second": 0.018
|
210 |
}
|
211 |
],
|
212 |
"logging_steps": 2,
|
213 |
"max_steps": 20,
|
214 |
"num_input_tokens_seen": 0,
|
215 |
+
"num_train_epochs": 10,
|
216 |
"save_steps": 25,
|
217 |
"stateful_callbacks": {
|
218 |
"TrainerControl": {
|
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:b808538c4f97e65834cbeaa89a34a4e6e283623f2778ee5610d4ad34e3163cde
|
3 |
size 6008
|