End of training
Browse files- README.md +1 -1
- all_results.json +5 -5
- config.json +1 -1
- generation_config.json +1 -1
- model.safetensors +1 -1
- train_results.json +5 -5
- trainer_state.json +119 -119
- training_args.bin +2 -2
README.md
CHANGED
@@ -38,7 +38,7 @@ This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing
|
|
38 |
### Framework versions
|
39 |
|
40 |
- TRL: 0.15.2
|
41 |
-
- Transformers: 4.
|
42 |
- Pytorch: 2.5.1
|
43 |
- Datasets: 3.5.0
|
44 |
- Tokenizers: 0.21.1
|
|
|
38 |
### Framework versions
|
39 |
|
40 |
- TRL: 0.15.2
|
41 |
+
- Transformers: 4.51.3
|
42 |
- Pytorch: 2.5.1
|
43 |
- Datasets: 3.5.0
|
44 |
- Tokenizers: 0.21.1
|
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": 0.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 1.61745585501194e-05,
|
4 |
+
"train_runtime": 5416.7432,
|
5 |
+
"train_samples": 28,
|
6 |
+
"train_samples_per_second": 0.059,
|
7 |
+
"train_steps_per_second": 0.004
|
8 |
}
|
config.json
CHANGED
@@ -21,7 +21,7 @@
|
|
21 |
"sliding_window": 32768,
|
22 |
"tie_word_embeddings": true,
|
23 |
"torch_dtype": "float32",
|
24 |
-
"transformers_version": "4.
|
25 |
"use_cache": true,
|
26 |
"use_sliding_window": false,
|
27 |
"vocab_size": 151936
|
|
|
21 |
"sliding_window": 32768,
|
22 |
"tie_word_embeddings": true,
|
23 |
"torch_dtype": "float32",
|
24 |
+
"transformers_version": "4.51.3",
|
25 |
"use_cache": true,
|
26 |
"use_sliding_window": false,
|
27 |
"vocab_size": 151936
|
generation_config.json
CHANGED
@@ -10,5 +10,5 @@
|
|
10 |
"temperature": 0.7,
|
11 |
"top_k": 20,
|
12 |
"top_p": 0.8,
|
13 |
-
"transformers_version": "4.
|
14 |
}
|
|
|
10 |
"temperature": 0.7,
|
11 |
"top_k": 20,
|
12 |
"top_p": 0.8,
|
13 |
+
"transformers_version": "4.51.3"
|
14 |
}
|
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 sha256:0e4f141e63038c991a13ded81acc0f4c23d0c88e4e2d06251a2cd2cdc33b72ba
|
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": 0.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 1.61745585501194e-05,
|
4 |
+
"train_runtime": 5416.7432,
|
5 |
+
"train_samples": 28,
|
6 |
+
"train_samples_per_second": 0.059,
|
7 |
+
"train_steps_per_second": 0.004
|
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":
|
16 |
"kl": 0.0,
|
17 |
-
"learning_rate":
|
18 |
"loss": -0.0,
|
19 |
-
"reward": 0.
|
20 |
-
"reward_std": 0.
|
21 |
-
"rewards/concensus_correctness_reward_func": 0.
|
22 |
"rewards/consensus_reward_func": 0.0,
|
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": 0.0,
|
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.
|
37 |
"loss": 0.0,
|
38 |
-
"reward": 0.
|
39 |
-
"reward_std": 0.
|
40 |
-
"rewards/concensus_correctness_reward_func": 0.
|
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":
|
54 |
-
"kl": 0.
|
55 |
-
"learning_rate": 4.
|
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": 0
|
72 |
-
"grad_norm":
|
73 |
-
"kl": 0.
|
74 |
-
"learning_rate": 3.
|
75 |
"loss": 0.0,
|
76 |
-
"reward":
|
77 |
-
"reward_std":
|
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":
|
92 |
-
"kl": 0.
|
93 |
-
"learning_rate":
|
94 |
-
"loss": 0.
|
95 |
-
"reward": 0.
|
96 |
-
"reward_std": 0.
|
97 |
"rewards/concensus_correctness_reward_func": 0.0,
|
98 |
"rewards/consensus_reward_func": 0.0,
|
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": 0
|
110 |
-
"grad_norm":
|
111 |
-
"kl": 0.
|
112 |
-
"learning_rate":
|
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":
|
129 |
-
"grad_norm":
|
130 |
-
"kl": 0.
|
131 |
-
"learning_rate": 1.
|
132 |
"loss": 0.0,
|
133 |
-
"reward":
|
134 |
-
"reward_std":
|
135 |
-
"rewards/concensus_correctness_reward_func": 0.
|
136 |
"rewards/consensus_reward_func": 0.0625,
|
137 |
"rewards/cumulative_reward_2": 0.0,
|
138 |
"rewards/final_correctness_reward_func": 0.0,
|
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":
|
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.
|
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":
|
168 |
-
"kl": 0.
|
169 |
-
"learning_rate":
|
170 |
"loss": 0.0,
|
171 |
-
"reward":
|
172 |
-
"reward_std":
|
173 |
-
"rewards/concensus_correctness_reward_func": 0.
|
174 |
"rewards/consensus_reward_func": 0.0,
|
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": 0.
|
181 |
"step": 18
|
182 |
},
|
183 |
{
|
184 |
-
"completion_length":
|
185 |
-
"epoch":
|
186 |
-
"grad_norm":
|
187 |
-
"kl": 0.
|
188 |
-
"learning_rate":
|
189 |
"loss": 0.0,
|
190 |
-
"reward":
|
191 |
-
"reward_std":
|
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": 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": 0.
|
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": 5.0,
|
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": 521.65625,
|
14 |
+
"epoch": 0.5714285714285714,
|
15 |
+
"grad_norm": 8.373077392578125,
|
16 |
"kl": 0.0,
|
17 |
+
"learning_rate": 5e-07,
|
18 |
"loss": -0.0,
|
19 |
+
"reward": 0.30231481534428895,
|
20 |
+
"reward_std": 0.4286866073598503,
|
21 |
+
"rewards/concensus_correctness_reward_func": 0.0,
|
22 |
"rewards/consensus_reward_func": 0.0,
|
23 |
"rewards/cumulative_reward_2": 0.0,
|
24 |
+
"rewards/final_correctness_reward_func": 0.0,
|
25 |
+
"rewards/question_recreation_reward_func": 0.24297107267193496,
|
26 |
"rewards/soft_format_reward_func": 0.0,
|
27 |
"rewards/strict_format_reward_func": 0.0,
|
28 |
+
"rewards/xmlcount_reward_func": 0.05934374779462814,
|
29 |
"step": 2
|
30 |
},
|
31 |
{
|
32 |
+
"completion_length": 365.7916666666667,
|
33 |
+
"epoch": 1.0,
|
34 |
+
"grad_norm": 3.361116409301758,
|
35 |
+
"kl": 0.005125638218790603,
|
36 |
+
"learning_rate": 4.864543104251586e-07,
|
37 |
"loss": 0.0,
|
38 |
+
"reward": 0.5099446430491904,
|
39 |
+
"reward_std": 0.4251110314701994,
|
40 |
+
"rewards/concensus_correctness_reward_func": 0.010416666666666666,
|
41 |
+
"rewards/consensus_reward_func": 0.08333333333333333,
|
42 |
"rewards/cumulative_reward_2": 0.0,
|
43 |
+
"rewards/final_correctness_reward_func": 0.0,
|
44 |
+
"rewards/question_recreation_reward_func": 0.26819465138639015,
|
45 |
"rewards/soft_format_reward_func": 0.0,
|
46 |
"rewards/strict_format_reward_func": 0.0,
|
47 |
+
"rewards/xmlcount_reward_func": 0.14799999756117663,
|
48 |
"step": 4
|
49 |
},
|
50 |
{
|
51 |
+
"completion_length": 441.21875,
|
52 |
+
"epoch": 1.5714285714285714,
|
53 |
+
"grad_norm": 98.18972778320312,
|
54 |
+
"kl": 0.008048989489907399,
|
55 |
+
"learning_rate": 4.472851273490984e-07,
|
56 |
"loss": 0.0,
|
57 |
+
"reward": 0.5239956639998127,
|
58 |
+
"reward_std": 0.5359824550687335,
|
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": 0.0625,
|
63 |
+
"rewards/question_recreation_reward_func": 0.25355815392686054,
|
64 |
"rewards/soft_format_reward_func": 0.0,
|
65 |
"rewards/strict_format_reward_func": 0.0,
|
66 |
+
"rewards/xmlcount_reward_func": 0.2079374985769391,
|
67 |
"step": 6
|
68 |
},
|
69 |
{
|
70 |
+
"completion_length": 439.4166666666667,
|
71 |
+
"epoch": 2.0,
|
72 |
+
"grad_norm": 5.059068202972412,
|
73 |
+
"kl": 0.0012804252522376676,
|
74 |
+
"learning_rate": 3.867370395306068e-07,
|
75 |
"loss": 0.0,
|
76 |
+
"reward": 0.6898338493580619,
|
77 |
+
"reward_std": 0.5673091932779547,
|
78 |
+
"rewards/concensus_correctness_reward_func": 0.010416666666666666,
|
79 |
+
"rewards/consensus_reward_func": 0.08333333333333333,
|
80 |
"rewards/cumulative_reward_2": 0.0,
|
81 |
+
"rewards/final_correctness_reward_func": 0.0,
|
82 |
+
"rewards/question_recreation_reward_func": 0.26758386722455424,
|
83 |
"rewards/soft_format_reward_func": 0.0,
|
84 |
"rewards/strict_format_reward_func": 0.0,
|
85 |
+
"rewards/xmlcount_reward_func": 0.3284999914467335,
|
86 |
"step": 8
|
87 |
},
|
88 |
{
|
89 |
+
"completion_length": 418.03125,
|
90 |
+
"epoch": 2.571428571428571,
|
91 |
+
"grad_norm": 8.908088684082031,
|
92 |
+
"kl": 0.12081245142326225,
|
93 |
+
"learning_rate": 3.1137137178519977e-07,
|
94 |
+
"loss": 0.0001,
|
95 |
+
"reward": 0.42404140171129256,
|
96 |
+
"reward_std": 0.33405227336334065,
|
97 |
"rewards/concensus_correctness_reward_func": 0.0,
|
98 |
"rewards/consensus_reward_func": 0.0,
|
99 |
"rewards/cumulative_reward_2": 0.0,
|
100 |
+
"rewards/final_correctness_reward_func": 0.0625,
|
101 |
+
"rewards/question_recreation_reward_func": 0.2105101440101862,
|
102 |
"rewards/soft_format_reward_func": 0.0,
|
103 |
"rewards/strict_format_reward_func": 0.0,
|
104 |
+
"rewards/xmlcount_reward_func": 0.15103125385940075,
|
105 |
"step": 10
|
106 |
},
|
107 |
{
|
108 |
+
"completion_length": 415.8333333333333,
|
109 |
+
"epoch": 3.0,
|
110 |
+
"grad_norm": 3.142291784286499,
|
111 |
+
"kl": 0.0036896999566427744,
|
112 |
+
"learning_rate": 2.2935516363191693e-07,
|
113 |
"loss": 0.0,
|
114 |
+
"reward": 0.5049940745035807,
|
115 |
+
"reward_std": 0.711844447379311,
|
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": 0.08333333333333333,
|
120 |
+
"rewards/question_recreation_reward_func": 0.399119071662426,
|
121 |
"rewards/soft_format_reward_func": 0.0,
|
122 |
"rewards/strict_format_reward_func": 0.0,
|
123 |
+
"rewards/xmlcount_reward_func": 0.02254166081547737,
|
124 |
"step": 12
|
125 |
},
|
126 |
{
|
127 |
+
"completion_length": 386.625,
|
128 |
+
"epoch": 3.571428571428571,
|
129 |
+
"grad_norm": 31.762287139892578,
|
130 |
+
"kl": 0.01464658961049281,
|
131 |
+
"learning_rate": 1.4957614383675767e-07,
|
132 |
"loss": 0.0,
|
133 |
+
"reward": 0.5932526526739821,
|
134 |
+
"reward_std": 0.7520454289624467,
|
135 |
+
"rewards/concensus_correctness_reward_func": 0.0078125,
|
136 |
"rewards/consensus_reward_func": 0.0625,
|
137 |
"rewards/cumulative_reward_2": 0.0,
|
138 |
"rewards/final_correctness_reward_func": 0.0,
|
139 |
+
"rewards/question_recreation_reward_func": 0.3564401565818116,
|
140 |
"rewards/soft_format_reward_func": 0.0,
|
141 |
"rewards/strict_format_reward_func": 0.0,
|
142 |
+
"rewards/xmlcount_reward_func": 0.16649999655783176,
|
143 |
"step": 14
|
144 |
},
|
145 |
{
|
146 |
+
"completion_length": 567.5833333333334,
|
147 |
+
"epoch": 4.0,
|
148 |
+
"grad_norm": 2.1845624446868896,
|
149 |
+
"kl": 0.0059801468572307686,
|
150 |
+
"learning_rate": 8.067960709356478e-08,
|
151 |
"loss": 0.0,
|
152 |
+
"reward": 0.37394068999371183,
|
153 |
+
"reward_std": 0.6022146987573554,
|
154 |
+
"rewards/concensus_correctness_reward_func": 0.010500000168879827,
|
155 |
"rewards/consensus_reward_func": 0.0,
|
156 |
"rewards/cumulative_reward_2": 0.0,
|
157 |
+
"rewards/final_correctness_reward_func": 0.0,
|
158 |
+
"rewards/question_recreation_reward_func": 0.16994070855434984,
|
159 |
"rewards/soft_format_reward_func": 0.0,
|
160 |
"rewards/strict_format_reward_func": 0.0,
|
161 |
+
"rewards/xmlcount_reward_func": 0.19349999477465948,
|
162 |
"step": 16
|
163 |
},
|
164 |
{
|
165 |
+
"completion_length": 341.21875,
|
166 |
+
"epoch": 4.571428571428571,
|
167 |
+
"grad_norm": 15.037383079528809,
|
168 |
+
"kl": 0.0031782291844137944,
|
169 |
+
"learning_rate": 3.013156219837776e-08,
|
170 |
"loss": 0.0,
|
171 |
+
"reward": 1.0048452126793563,
|
172 |
+
"reward_std": 1.3991620691376738,
|
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": 0.0625,
|
177 |
+
"rewards/question_recreation_reward_func": 0.29072020755847916,
|
178 |
"rewards/soft_format_reward_func": 0.0,
|
179 |
"rewards/strict_format_reward_func": 0.0,
|
180 |
+
"rewards/xmlcount_reward_func": 0.026624999940395355,
|
181 |
"step": 18
|
182 |
},
|
183 |
{
|
184 |
+
"completion_length": 481.7916666666667,
|
185 |
+
"epoch": 5.0,
|
186 |
+
"grad_norm": 3.4167587757110596,
|
187 |
+
"kl": 0.0033248904801439494,
|
188 |
+
"learning_rate": 3.4096741493194193e-09,
|
189 |
"loss": 0.0,
|
190 |
+
"reward": 0.14136970741674304,
|
191 |
+
"reward_std": 0.6498097935691476,
|
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": 0.0,
|
196 |
+
"rewards/question_recreation_reward_func": 0.23311969513694444,
|
197 |
"rewards/soft_format_reward_func": 0.0,
|
198 |
"rewards/strict_format_reward_func": 0.0,
|
199 |
+
"rewards/xmlcount_reward_func": -0.09174999222159386,
|
200 |
"step": 20
|
201 |
},
|
202 |
{
|
203 |
+
"epoch": 5.0,
|
204 |
"step": 20,
|
205 |
"total_flos": 0.0,
|
206 |
+
"train_loss": 1.61745585501194e-05,
|
207 |
+
"train_runtime": 5416.7432,
|
208 |
+
"train_samples_per_second": 0.059,
|
209 |
+
"train_steps_per_second": 0.004
|
210 |
}
|
211 |
],
|
212 |
"logging_steps": 2,
|
213 |
"max_steps": 20,
|
214 |
"num_input_tokens_seen": 0,
|
215 |
+
"num_train_epochs": 7,
|
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
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d122afff409e31df56d1daf929b452aadea37245c08408ec42ecb17a98d9436a
|
3 |
+
size 5944
|