Model save
Browse files- README.md +1 -1
- all_results.json +4 -4
- model-00001-of-00004.safetensors +1 -1
- model-00002-of-00004.safetensors +1 -1
- model-00003-of-00004.safetensors +1 -1
- model-00004-of-00004.safetensors +1 -1
- train_results.json +4 -4
- trainer_state.json +296 -120
- training_args.bin +1 -1
README.md
CHANGED
@@ -26,7 +26,7 @@ print(output["generated_text"])
|
|
26 |
|
27 |
## Training procedure
|
28 |
|
29 |
-
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/1105645918-bit/huggingface/runs/
|
30 |
|
31 |
|
32 |
This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).
|
|
|
26 |
|
27 |
## Training procedure
|
28 |
|
29 |
+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/1105645918-bit/huggingface/runs/5kszzipd)
|
30 |
|
31 |
|
32 |
This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).
|
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 7500,
|
6 |
-
"train_samples_per_second": 0.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 0.03906208295056708,
|
4 |
+
"train_runtime": 48868.7895,
|
5 |
"train_samples": 7500,
|
6 |
+
"train_samples_per_second": 0.153,
|
7 |
+
"train_steps_per_second": 0.002
|
8 |
}
|
model-00001-of-00004.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4877660776
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a314cbd99ea28c0baf1978854a5a2d9089a428e9df780361641dfa38d152575f
|
3 |
size 4877660776
|
model-00002-of-00004.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4932751008
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b4893621368e783a1298d601bcbcc5c406d65fa8988d263f773638e3122e10bf
|
3 |
size 4932751008
|
model-00003-of-00004.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4330865200
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ec456b58e1c879061b6150420662b6f8a378f79bb858e185609394393deddf2e
|
3 |
size 4330865200
|
model-00004-of-00004.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1089994880
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d6e26270c279ad0e741d288b14605086e13c44ee23c751b2243fa508df7c2f5b
|
3 |
size 1089994880
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 7500,
|
6 |
-
"train_samples_per_second": 0.
|
7 |
-
"train_steps_per_second": 0.
|
8 |
}
|
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
+
"train_loss": 0.03906208295056708,
|
4 |
+
"train_runtime": 48868.7895,
|
5 |
"train_samples": 7500,
|
6 |
+
"train_samples_per_second": 0.153,
|
7 |
+
"train_steps_per_second": 0.002
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,200 +1,376 @@
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
-
"epoch": 0.
|
5 |
"eval_steps": 100,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"clip_ratio": 0.0,
|
13 |
-
"completion_length":
|
14 |
-
"epoch": 0.
|
15 |
-
"grad_norm": 0.
|
16 |
"kl": 0.0,
|
17 |
-
"learning_rate": 5e-07,
|
18 |
-
"loss":
|
19 |
-
"reward": 0.
|
20 |
-
"reward_std": 0.
|
21 |
-
"rewards/accuracy_reward": 0.
|
22 |
"rewards/format_reward": 0.0,
|
23 |
"step": 1
|
24 |
},
|
25 |
{
|
26 |
"clip_ratio": 0.0,
|
27 |
-
"completion_length":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
28 |
"epoch": 0.08528784648187633,
|
29 |
-
"grad_norm":
|
30 |
-
"kl": 0.
|
31 |
"learning_rate": 2.5e-06,
|
32 |
-
"loss": 0.
|
33 |
-
"reward": 0.
|
34 |
-
"reward_std": 0.
|
35 |
-
"rewards/accuracy_reward": 0.
|
36 |
"rewards/format_reward": 0.0,
|
37 |
-
"step":
|
38 |
},
|
39 |
{
|
40 |
"clip_ratio": 0.0,
|
41 |
-
"completion_length":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
42 |
"epoch": 0.17057569296375266,
|
43 |
-
"grad_norm":
|
44 |
-
"kl": 0.
|
45 |
-
"learning_rate": 2.
|
46 |
-
"loss": 0.
|
47 |
-
"reward": 0.
|
48 |
-
"reward_std": 0.
|
49 |
-
"rewards/accuracy_reward": 0.
|
50 |
"rewards/format_reward": 0.0,
|
51 |
-
"step":
|
52 |
},
|
53 |
{
|
54 |
"clip_ratio": 0.0,
|
55 |
-
"completion_length":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
56 |
"epoch": 0.255863539445629,
|
57 |
-
"grad_norm": 0.
|
58 |
-
"kl": 0.
|
59 |
-
"learning_rate": 2.
|
60 |
-
"loss": 0.
|
61 |
-
"reward": 0.
|
62 |
-
"reward_std": 0.
|
63 |
-
"rewards/accuracy_reward": 0.
|
64 |
"rewards/format_reward": 0.0,
|
65 |
-
"step":
|
66 |
},
|
67 |
{
|
68 |
"clip_ratio": 0.0,
|
69 |
-
"completion_length":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
70 |
"epoch": 0.3411513859275053,
|
71 |
-
"grad_norm": 0.
|
72 |
-
"kl": 0.
|
73 |
-
"learning_rate": 2.
|
74 |
-
"loss": 0.
|
75 |
-
"reward": 0.
|
76 |
-
"reward_std": 0.
|
77 |
-
"rewards/accuracy_reward": 0.
|
78 |
"rewards/format_reward": 0.0,
|
79 |
-
"step":
|
80 |
},
|
81 |
{
|
82 |
"clip_ratio": 0.0,
|
83 |
-
"completion_length":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
84 |
"epoch": 0.42643923240938164,
|
85 |
-
"grad_norm": 0.
|
86 |
-
"kl": 0.
|
87 |
-
"learning_rate": 2.
|
88 |
-
"loss": 0.
|
89 |
-
"reward": 0.
|
90 |
-
"reward_std": 0.
|
91 |
-
"rewards/accuracy_reward": 0.
|
92 |
"rewards/format_reward": 0.0,
|
93 |
-
"step":
|
94 |
},
|
95 |
{
|
96 |
"clip_ratio": 0.0,
|
97 |
-
"completion_length":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
98 |
"epoch": 0.511727078891258,
|
99 |
-
"grad_norm": 0.
|
100 |
-
"kl": 0.
|
101 |
-
"learning_rate": 1.
|
102 |
-
"loss": 0.
|
103 |
-
"reward": 0.
|
104 |
-
"reward_std": 0.
|
105 |
-
"rewards/accuracy_reward": 0.
|
106 |
"rewards/format_reward": 0.0,
|
107 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
108 |
},
|
109 |
{
|
110 |
"clip_ratio": 0.0,
|
111 |
-
"completion_length":
|
112 |
"epoch": 0.5970149253731343,
|
113 |
-
"grad_norm": 0.
|
114 |
-
"kl": 0.
|
115 |
-
"learning_rate": 1.
|
116 |
-
"loss": 0.
|
117 |
-
"reward": 0.
|
118 |
-
"reward_std": 0.
|
119 |
-
"rewards/accuracy_reward": 0.
|
120 |
"rewards/format_reward": 0.0,
|
121 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
122 |
},
|
123 |
{
|
124 |
"clip_ratio": 0.0,
|
125 |
-
"completion_length":
|
126 |
"epoch": 0.6823027718550106,
|
127 |
-
"grad_norm": 0.
|
128 |
-
"kl": 0.
|
129 |
-
"learning_rate": 8.
|
130 |
-
"loss": 0.
|
131 |
-
"reward": 0.
|
132 |
-
"reward_std": 0.
|
133 |
-
"rewards/accuracy_reward": 0.
|
134 |
"rewards/format_reward": 0.0,
|
135 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
136 |
},
|
137 |
{
|
138 |
"clip_ratio": 0.0,
|
139 |
-
"completion_length":
|
140 |
"epoch": 0.767590618336887,
|
141 |
-
"grad_norm": 0.
|
142 |
-
"kl": 0.
|
143 |
-
"learning_rate": 4.
|
144 |
-
"loss": 0.
|
145 |
-
"reward": 0.
|
146 |
-
"reward_std": 0.
|
147 |
-
"rewards/accuracy_reward": 0.
|
148 |
"rewards/format_reward": 0.0,
|
149 |
-
"step":
|
150 |
},
|
151 |
{
|
152 |
"clip_ratio": 0.0,
|
153 |
-
"completion_length":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
154 |
"epoch": 0.8528784648187633,
|
155 |
-
"grad_norm": 0.
|
156 |
-
"
|
157 |
-
"
|
158 |
-
"
|
159 |
-
|
160 |
-
|
161 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
162 |
"rewards/format_reward": 0.0,
|
163 |
-
"step":
|
164 |
},
|
165 |
{
|
166 |
"clip_ratio": 0.0,
|
167 |
-
"completion_length":
|
168 |
"epoch": 0.9381663113006397,
|
169 |
-
"grad_norm": 0.
|
170 |
-
"kl": 0.
|
171 |
-
"learning_rate":
|
172 |
-
"loss": 0.
|
173 |
-
"reward": 0.
|
174 |
-
"reward_std": 0.
|
175 |
-
"rewards/accuracy_reward": 0.
|
176 |
"rewards/format_reward": 0.0,
|
177 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
178 |
},
|
179 |
{
|
180 |
"clip_ratio": 0.0,
|
181 |
-
"completion_length":
|
182 |
-
"epoch": 0.
|
183 |
-
"kl": 0.
|
184 |
-
"reward": 0.
|
185 |
-
"reward_std": 0.
|
186 |
-
"rewards/accuracy_reward": 0.
|
187 |
"rewards/format_reward": 0.0,
|
188 |
-
"step":
|
189 |
"total_flos": 0.0,
|
190 |
-
"train_loss": 0.
|
191 |
-
"train_runtime":
|
192 |
-
"train_samples_per_second": 0.
|
193 |
-
"train_steps_per_second": 0.
|
194 |
}
|
195 |
],
|
196 |
"logging_steps": 5,
|
197 |
-
"max_steps":
|
198 |
"num_input_tokens_seen": 0,
|
199 |
"num_train_epochs": 1,
|
200 |
"save_steps": 500,
|
|
|
1 |
{
|
2 |
"best_metric": null,
|
3 |
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.997867803837953,
|
5 |
"eval_steps": 100,
|
6 |
+
"global_step": 117,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
"clip_ratio": 0.0,
|
13 |
+
"completion_length": 620.6149749755859,
|
14 |
+
"epoch": 0.008528784648187633,
|
15 |
+
"grad_norm": 0.43470078706741333,
|
16 |
"kl": 0.0,
|
17 |
+
"learning_rate": 2.5e-07,
|
18 |
+
"loss": 0.0087,
|
19 |
+
"reward": 0.611607164144516,
|
20 |
+
"reward_std": 0.3698773570358753,
|
21 |
+
"rewards/accuracy_reward": 0.611607164144516,
|
22 |
"rewards/format_reward": 0.0,
|
23 |
"step": 1
|
24 |
},
|
25 |
{
|
26 |
"clip_ratio": 0.0,
|
27 |
+
"completion_length": 593.875862121582,
|
28 |
+
"epoch": 0.042643923240938165,
|
29 |
+
"grad_norm": 0.43776455521583557,
|
30 |
+
"kl": 0.00015407800674438477,
|
31 |
+
"learning_rate": 1.25e-06,
|
32 |
+
"loss": 0.0231,
|
33 |
+
"reward": 0.6205357443541288,
|
34 |
+
"reward_std": 0.37901367666199803,
|
35 |
+
"rewards/accuracy_reward": 0.6205357443541288,
|
36 |
+
"rewards/format_reward": 0.0,
|
37 |
+
"step": 5
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"clip_ratio": 0.0,
|
41 |
+
"completion_length": 616.8395332336426,
|
42 |
"epoch": 0.08528784648187633,
|
43 |
+
"grad_norm": 0.8126201033592224,
|
44 |
+
"kl": 0.002016162872314453,
|
45 |
"learning_rate": 2.5e-06,
|
46 |
+
"loss": 0.043,
|
47 |
+
"reward": 0.6250000275671482,
|
48 |
+
"reward_std": 0.347636329382658,
|
49 |
+
"rewards/accuracy_reward": 0.6250000275671482,
|
50 |
"rewards/format_reward": 0.0,
|
51 |
+
"step": 10
|
52 |
},
|
53 |
{
|
54 |
"clip_ratio": 0.0,
|
55 |
+
"completion_length": 610.7120796203614,
|
56 |
+
"epoch": 0.1279317697228145,
|
57 |
+
"grad_norm": 0.1547478586435318,
|
58 |
+
"kl": 0.013087844848632813,
|
59 |
+
"learning_rate": 2.993961440992859e-06,
|
60 |
+
"loss": 0.0896,
|
61 |
+
"reward": 0.7162946730852127,
|
62 |
+
"reward_std": 0.2822846982628107,
|
63 |
+
"rewards/accuracy_reward": 0.7162946730852127,
|
64 |
+
"rewards/format_reward": 0.0,
|
65 |
+
"step": 15
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"clip_ratio": 0.0,
|
69 |
+
"completion_length": 612.700473022461,
|
70 |
"epoch": 0.17057569296375266,
|
71 |
+
"grad_norm": 0.24769772589206696,
|
72 |
+
"kl": 0.01591835021972656,
|
73 |
+
"learning_rate": 2.957235057439301e-06,
|
74 |
+
"loss": 0.0769,
|
75 |
+
"reward": 0.7506696745753288,
|
76 |
+
"reward_std": 0.23058689776808022,
|
77 |
+
"rewards/accuracy_reward": 0.7506696745753288,
|
78 |
"rewards/format_reward": 0.0,
|
79 |
+
"step": 20
|
80 |
},
|
81 |
{
|
82 |
"clip_ratio": 0.0,
|
83 |
+
"completion_length": 575.4734634399414,
|
84 |
+
"epoch": 0.21321961620469082,
|
85 |
+
"grad_norm": 1.411234736442566,
|
86 |
+
"kl": 0.006292724609375,
|
87 |
+
"learning_rate": 2.887956450710995e-06,
|
88 |
+
"loss": 0.0598,
|
89 |
+
"reward": 0.8000000357627869,
|
90 |
+
"reward_std": 0.18773337844759225,
|
91 |
+
"rewards/accuracy_reward": 0.8000000357627869,
|
92 |
+
"rewards/format_reward": 0.0,
|
93 |
+
"step": 25
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"clip_ratio": 0.0,
|
97 |
+
"completion_length": 579.8424324035644,
|
98 |
"epoch": 0.255863539445629,
|
99 |
+
"grad_norm": 0.17543800175189972,
|
100 |
+
"kl": 0.004089736938476562,
|
101 |
+
"learning_rate": 2.7876731904027993e-06,
|
102 |
+
"loss": 0.0551,
|
103 |
+
"reward": 0.7698661036789417,
|
104 |
+
"reward_std": 0.20191936586052178,
|
105 |
+
"rewards/accuracy_reward": 0.7698661036789417,
|
106 |
"rewards/format_reward": 0.0,
|
107 |
+
"step": 30
|
108 |
},
|
109 |
{
|
110 |
"clip_ratio": 0.0,
|
111 |
+
"completion_length": 577.5357452392578,
|
112 |
+
"epoch": 0.29850746268656714,
|
113 |
+
"grad_norm": 0.14460965991020203,
|
114 |
+
"kl": 0.004575347900390625,
|
115 |
+
"learning_rate": 2.6586254388368995e-06,
|
116 |
+
"loss": 0.0494,
|
117 |
+
"reward": 0.7982143223285675,
|
118 |
+
"reward_std": 0.17998763117939234,
|
119 |
+
"rewards/accuracy_reward": 0.7982143223285675,
|
120 |
+
"rewards/format_reward": 0.0,
|
121 |
+
"step": 35
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"clip_ratio": 0.0,
|
125 |
+
"completion_length": 573.0772575378418,
|
126 |
"epoch": 0.3411513859275053,
|
127 |
+
"grad_norm": 0.10168638080358505,
|
128 |
+
"kl": 0.004691314697265625,
|
129 |
+
"learning_rate": 2.5036959095382875e-06,
|
130 |
+
"loss": 0.0403,
|
131 |
+
"reward": 0.7850446775555611,
|
132 |
+
"reward_std": 0.1875380737707019,
|
133 |
+
"rewards/accuracy_reward": 0.7850446775555611,
|
134 |
"rewards/format_reward": 0.0,
|
135 |
+
"step": 40
|
136 |
},
|
137 |
{
|
138 |
"clip_ratio": 0.0,
|
139 |
+
"completion_length": 583.6614151000977,
|
140 |
+
"epoch": 0.3837953091684435,
|
141 |
+
"grad_norm": 0.15747234225273132,
|
142 |
+
"kl": 0.007823562622070313,
|
143 |
+
"learning_rate": 2.3263454721781537e-06,
|
144 |
+
"loss": 0.042,
|
145 |
+
"reward": 0.8042411088943482,
|
146 |
+
"reward_std": 0.17801097435876728,
|
147 |
+
"rewards/accuracy_reward": 0.8042411088943482,
|
148 |
+
"rewards/format_reward": 0.0,
|
149 |
+
"step": 45
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"clip_ratio": 0.0,
|
153 |
+
"completion_length": 582.4127494812012,
|
154 |
"epoch": 0.42643923240938164,
|
155 |
+
"grad_norm": 0.13581737875938416,
|
156 |
+
"kl": 0.005602645874023438,
|
157 |
+
"learning_rate": 2.1305358424643485e-06,
|
158 |
+
"loss": 0.04,
|
159 |
+
"reward": 0.7600446760654449,
|
160 |
+
"reward_std": 0.18583385180681944,
|
161 |
+
"rewards/accuracy_reward": 0.7600446760654449,
|
162 |
"rewards/format_reward": 0.0,
|
163 |
+
"step": 50
|
164 |
},
|
165 |
{
|
166 |
"clip_ratio": 0.0,
|
167 |
+
"completion_length": 570.5196685791016,
|
168 |
+
"epoch": 0.4690831556503198,
|
169 |
+
"grad_norm": 0.14316147565841675,
|
170 |
+
"kl": 0.006391143798828125,
|
171 |
+
"learning_rate": 1.9206410839590043e-06,
|
172 |
+
"loss": 0.0253,
|
173 |
+
"reward": 0.770982176065445,
|
174 |
+
"reward_std": 0.1873089073225856,
|
175 |
+
"rewards/accuracy_reward": 0.770982176065445,
|
176 |
+
"rewards/format_reward": 0.0,
|
177 |
+
"step": 55
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"clip_ratio": 0.0,
|
181 |
+
"completion_length": 597.8089546203613,
|
182 |
"epoch": 0.511727078891258,
|
183 |
+
"grad_norm": 0.13278549909591675,
|
184 |
+
"kl": 0.006211090087890625,
|
185 |
+
"learning_rate": 1.7013498987264833e-06,
|
186 |
+
"loss": 0.0323,
|
187 |
+
"reward": 0.7582589626312256,
|
188 |
+
"reward_std": 0.19469668436795473,
|
189 |
+
"rewards/accuracy_reward": 0.7582589626312256,
|
190 |
"rewards/format_reward": 0.0,
|
191 |
+
"step": 60
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"clip_ratio": 0.0,
|
195 |
+
"completion_length": 570.72748336792,
|
196 |
+
"epoch": 0.5543710021321961,
|
197 |
+
"grad_norm": 0.11964963376522064,
|
198 |
+
"kl": 0.0067108154296875,
|
199 |
+
"learning_rate": 1.4775608894771048e-06,
|
200 |
+
"loss": 0.0285,
|
201 |
+
"reward": 0.7604911118745804,
|
202 |
+
"reward_std": 0.17904917486011981,
|
203 |
+
"rewards/accuracy_reward": 0.7604911118745804,
|
204 |
+
"rewards/format_reward": 0.0,
|
205 |
+
"step": 65
|
206 |
},
|
207 |
{
|
208 |
"clip_ratio": 0.0,
|
209 |
+
"completion_length": 583.9893104553223,
|
210 |
"epoch": 0.5970149253731343,
|
211 |
+
"grad_norm": 0.13020634651184082,
|
212 |
+
"kl": 0.005590057373046875,
|
213 |
+
"learning_rate": 1.2542731328772936e-06,
|
214 |
+
"loss": 0.0335,
|
215 |
+
"reward": 0.7493303909897804,
|
216 |
+
"reward_std": 0.19070985857397318,
|
217 |
+
"rewards/accuracy_reward": 0.7493303909897804,
|
218 |
"rewards/format_reward": 0.0,
|
219 |
+
"step": 70
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"clip_ratio": 0.0,
|
223 |
+
"completion_length": 552.5370803833008,
|
224 |
+
"epoch": 0.6396588486140725,
|
225 |
+
"grad_norm": 0.193593829870224,
|
226 |
+
"kl": 0.00690155029296875,
|
227 |
+
"learning_rate": 1.036474508437579e-06,
|
228 |
+
"loss": 0.0293,
|
229 |
+
"reward": 0.7955357491970062,
|
230 |
+
"reward_std": 0.17065229499712586,
|
231 |
+
"rewards/accuracy_reward": 0.7955357491970062,
|
232 |
+
"rewards/format_reward": 0.0,
|
233 |
+
"step": 75
|
234 |
},
|
235 |
{
|
236 |
"clip_ratio": 0.0,
|
237 |
+
"completion_length": 574.2089538574219,
|
238 |
"epoch": 0.6823027718550106,
|
239 |
+
"grad_norm": 0.26767051219940186,
|
240 |
+
"kl": 0.006514739990234375,
|
241 |
+
"learning_rate": 8.290302775265509e-07,
|
242 |
+
"loss": 0.0359,
|
243 |
+
"reward": 0.7752232506871224,
|
244 |
+
"reward_std": 0.17853977270424365,
|
245 |
+
"rewards/accuracy_reward": 0.7752232506871224,
|
246 |
"rewards/format_reward": 0.0,
|
247 |
+
"step": 80
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"clip_ratio": 0.0,
|
251 |
+
"completion_length": 587.2473434448242,
|
252 |
+
"epoch": 0.7249466950959488,
|
253 |
+
"grad_norm": 0.14498883485794067,
|
254 |
+
"kl": 0.008393096923828124,
|
255 |
+
"learning_rate": 6.3657440147149e-07,
|
256 |
+
"loss": 0.0378,
|
257 |
+
"reward": 0.77857146859169,
|
258 |
+
"reward_std": 0.1991961758583784,
|
259 |
+
"rewards/accuracy_reward": 0.77857146859169,
|
260 |
+
"rewards/format_reward": 0.0,
|
261 |
+
"step": 85
|
262 |
},
|
263 |
{
|
264 |
"clip_ratio": 0.0,
|
265 |
+
"completion_length": 571.0614074707031,
|
266 |
"epoch": 0.767590618336887,
|
267 |
+
"grad_norm": 0.3927496671676636,
|
268 |
+
"kl": 0.00813751220703125,
|
269 |
+
"learning_rate": 4.63406026519703e-07,
|
270 |
+
"loss": 0.0197,
|
271 |
+
"reward": 0.753348246216774,
|
272 |
+
"reward_std": 0.18298904253169895,
|
273 |
+
"rewards/accuracy_reward": 0.753348246216774,
|
274 |
"rewards/format_reward": 0.0,
|
275 |
+
"step": 90
|
276 |
},
|
277 |
{
|
278 |
"clip_ratio": 0.0,
|
279 |
+
"completion_length": 579.4897560119629,
|
280 |
+
"epoch": 0.8102345415778252,
|
281 |
+
"grad_norm": 0.15556038916110992,
|
282 |
+
"kl": 0.007627105712890625,
|
283 |
+
"learning_rate": 3.133934480154885e-07,
|
284 |
+
"loss": 0.0348,
|
285 |
+
"reward": 0.7566964641213417,
|
286 |
+
"reward_std": 0.20147906215861439,
|
287 |
+
"rewards/accuracy_reward": 0.7566964641213417,
|
288 |
+
"rewards/format_reward": 0.0,
|
289 |
+
"step": 95
|
290 |
+
},
|
291 |
+
{
|
292 |
"epoch": 0.8528784648187633,
|
293 |
+
"grad_norm": 0.397614985704422,
|
294 |
+
"learning_rate": 1.8988769907430552e-07,
|
295 |
+
"loss": 0.0301,
|
296 |
+
"step": 100
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.8528784648187633,
|
300 |
+
"eval_clip_ratio": 0.0,
|
301 |
+
"eval_completion_length": 558.2626213378907,
|
302 |
+
"eval_kl": 0.02655439453125,
|
303 |
+
"eval_loss": 0.01617129147052765,
|
304 |
+
"eval_reward": 0.6867000318527222,
|
305 |
+
"eval_reward_std": 0.22212331930994988,
|
306 |
+
"eval_rewards/accuracy_reward": 0.6867000318527222,
|
307 |
+
"eval_rewards/format_reward": 0.0,
|
308 |
+
"eval_runtime": 17227.6498,
|
309 |
+
"eval_samples_per_second": 0.29,
|
310 |
+
"eval_steps_per_second": 0.003,
|
311 |
+
"step": 100
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"clip_ratio": 0.0,
|
315 |
+
"completion_length": 574.3294898986817,
|
316 |
+
"epoch": 0.8955223880597015,
|
317 |
+
"grad_norm": 0.7429274916648865,
|
318 |
+
"kl": 0.007941818237304688,
|
319 |
+
"learning_rate": 9.564769404039419e-08,
|
320 |
+
"loss": 0.0334,
|
321 |
+
"reward": 0.7816964637488126,
|
322 |
+
"reward_std": 0.18899818495847284,
|
323 |
+
"rewards/accuracy_reward": 0.7816964637488126,
|
324 |
"rewards/format_reward": 0.0,
|
325 |
+
"step": 105
|
326 |
},
|
327 |
{
|
328 |
"clip_ratio": 0.0,
|
329 |
+
"completion_length": 574.8442253112793,
|
330 |
"epoch": 0.9381663113006397,
|
331 |
+
"grad_norm": 0.1576305478811264,
|
332 |
+
"kl": 0.00836029052734375,
|
333 |
+
"learning_rate": 3.277859889929147e-08,
|
334 |
+
"loss": 0.0323,
|
335 |
+
"reward": 0.8006696775555611,
|
336 |
+
"reward_std": 0.19058242589235305,
|
337 |
+
"rewards/accuracy_reward": 0.8006696775555611,
|
338 |
"rewards/format_reward": 0.0,
|
339 |
+
"step": 110
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"clip_ratio": 0.0,
|
343 |
+
"completion_length": 558.2982414245605,
|
344 |
+
"epoch": 0.9808102345415778,
|
345 |
+
"grad_norm": 0.16698426008224487,
|
346 |
+
"kl": 0.0088043212890625,
|
347 |
+
"learning_rate": 2.684805348397268e-09,
|
348 |
+
"loss": 0.0311,
|
349 |
+
"reward": 0.7834821820259095,
|
350 |
+
"reward_std": 0.17699794424697757,
|
351 |
+
"rewards/accuracy_reward": 0.7834821820259095,
|
352 |
+
"rewards/format_reward": 0.0,
|
353 |
+
"step": 115
|
354 |
},
|
355 |
{
|
356 |
"clip_ratio": 0.0,
|
357 |
+
"completion_length": 580.5032634735107,
|
358 |
+
"epoch": 0.997867803837953,
|
359 |
+
"kl": 0.008594512939453125,
|
360 |
+
"reward": 0.7589286100119352,
|
361 |
+
"reward_std": 0.21703570941463113,
|
362 |
+
"rewards/accuracy_reward": 0.7589286100119352,
|
363 |
"rewards/format_reward": 0.0,
|
364 |
+
"step": 117,
|
365 |
"total_flos": 0.0,
|
366 |
+
"train_loss": 0.03906208295056708,
|
367 |
+
"train_runtime": 48868.7895,
|
368 |
+
"train_samples_per_second": 0.153,
|
369 |
+
"train_steps_per_second": 0.002
|
370 |
}
|
371 |
],
|
372 |
"logging_steps": 5,
|
373 |
+
"max_steps": 117,
|
374 |
"num_input_tokens_seen": 0,
|
375 |
"num_train_epochs": 1,
|
376 |
"save_steps": 500,
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 7992
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c60b555cc7f9b788a7920f8f5e261d1fa93487fc7555e9f8c3ee4670ba6d2f20
|
3 |
size 7992
|