End of training
Browse files- README.md +5 -4
- adapter_config.json +39 -0
- adapter_model.safetensors +3 -0
- all_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +123 -123
- training_args.bin +2 -2
README.md
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
---
|
2 |
-
base_model: Gensyn/Qwen2.5-
|
3 |
library_name: transformers
|
4 |
model_name: gensyn-checkpoints-clawed_leaping_toucan
|
5 |
tags:
|
@@ -8,13 +8,14 @@ tags:
|
|
8 |
- grpo
|
9 |
- gensyn
|
10 |
- I am clawed leaping toucan
|
|
|
11 |
- trl
|
12 |
licence: license
|
13 |
---
|
14 |
|
15 |
# Model Card for gensyn-checkpoints-clawed_leaping_toucan
|
16 |
|
17 |
-
This model is a fine-tuned version of [Gensyn/Qwen2.5-
|
18 |
It has been trained using [TRL](https://github.com/huggingface/trl).
|
19 |
|
20 |
## Quick start
|
@@ -39,8 +40,8 @@ This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing
|
|
39 |
|
40 |
- TRL: 0.15.2
|
41 |
- Transformers: 4.51.3
|
42 |
-
- Pytorch: 2.
|
43 |
-
- Datasets: 3.
|
44 |
- Tokenizers: 0.21.1
|
45 |
|
46 |
## Citations
|
|
|
1 |
---
|
2 |
+
base_model: Gensyn/Qwen2.5-1.5B-Instruct
|
3 |
library_name: transformers
|
4 |
model_name: gensyn-checkpoints-clawed_leaping_toucan
|
5 |
tags:
|
|
|
8 |
- grpo
|
9 |
- gensyn
|
10 |
- I am clawed leaping toucan
|
11 |
+
- unsloth
|
12 |
- trl
|
13 |
licence: license
|
14 |
---
|
15 |
|
16 |
# Model Card for gensyn-checkpoints-clawed_leaping_toucan
|
17 |
|
18 |
+
This model is a fine-tuned version of [Gensyn/Qwen2.5-1.5B-Instruct](https://huggingface.co/Gensyn/Qwen2.5-1.5B-Instruct).
|
19 |
It has been trained using [TRL](https://github.com/huggingface/trl).
|
20 |
|
21 |
## Quick start
|
|
|
40 |
|
41 |
- TRL: 0.15.2
|
42 |
- Transformers: 4.51.3
|
43 |
+
- Pytorch: 2.6.0
|
44 |
+
- Datasets: 3.6.0
|
45 |
- Tokenizers: 0.21.1
|
46 |
|
47 |
## Citations
|
adapter_config.json
ADDED
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "Gensyn/Qwen2.5-1.5B-Instruct",
|
5 |
+
"bias": "none",
|
6 |
+
"corda_config": null,
|
7 |
+
"eva_config": null,
|
8 |
+
"exclude_modules": null,
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": true,
|
12 |
+
"layer_replication": null,
|
13 |
+
"layers_pattern": null,
|
14 |
+
"layers_to_transform": null,
|
15 |
+
"loftq_config": {},
|
16 |
+
"lora_alpha": 16,
|
17 |
+
"lora_bias": false,
|
18 |
+
"lora_dropout": 0,
|
19 |
+
"megatron_config": null,
|
20 |
+
"megatron_core": "megatron.core",
|
21 |
+
"modules_to_save": null,
|
22 |
+
"peft_type": "LORA",
|
23 |
+
"r": 16,
|
24 |
+
"rank_pattern": {},
|
25 |
+
"revision": null,
|
26 |
+
"target_modules": [
|
27 |
+
"o_proj",
|
28 |
+
"v_proj",
|
29 |
+
"down_proj",
|
30 |
+
"gate_proj",
|
31 |
+
"q_proj",
|
32 |
+
"up_proj",
|
33 |
+
"k_proj"
|
34 |
+
],
|
35 |
+
"task_type": "CAUSAL_LM",
|
36 |
+
"trainable_token_indices": null,
|
37 |
+
"use_dora": false,
|
38 |
+
"use_rslora": false
|
39 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:480f21ec1837bd316152be3cb8b60e5d205ebe39f275db531e51d1adbed5894e
|
3 |
+
size 73911112
|
all_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
-
"train_loss": 7.
|
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": 7.248813339799653e-07,
|
4 |
+
"train_runtime": 1624.2404,
|
5 |
+
"train_samples": 98,
|
6 |
+
"train_samples_per_second": 0.197,
|
7 |
+
"train_steps_per_second": 0.012
|
8 |
}
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"total_flos": 0.0,
|
3 |
-
"train_loss": 7.
|
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": 7.248813339799653e-07,
|
4 |
+
"train_runtime": 1624.2404,
|
5 |
+
"train_samples": 98,
|
6 |
+
"train_samples_per_second": 0.197,
|
7 |
+
"train_steps_per_second": 0.012
|
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": 5e-07,
|
18 |
"loss": 0.0,
|
19 |
-
"reward": 1.
|
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":
|
34 |
-
"grad_norm":
|
35 |
-
"kl": 0.
|
36 |
"learning_rate": 4.864543104251586e-07,
|
37 |
"loss": 0.0,
|
38 |
-
"reward": 1.
|
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.
|
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": 4.472851273490984e-07,
|
56 |
"loss": 0.0,
|
57 |
-
"reward": 1.
|
58 |
-
"reward_std": 1.
|
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": 0.125,
|
63 |
-
"rewards/question_recreation_reward_func": 0.
|
64 |
"rewards/soft_format_reward_func": 0.0,
|
65 |
-
"rewards/strict_format_reward_func": 0.
|
66 |
-
"rewards/xmlcount_reward_func": 0.
|
67 |
"step": 6
|
68 |
},
|
69 |
{
|
70 |
-
"completion_length":
|
71 |
-
"epoch":
|
72 |
-
"grad_norm":
|
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":
|
92 |
-
"kl": 0.
|
93 |
"learning_rate": 3.1137137178519977e-07,
|
94 |
"loss": 0.0,
|
95 |
-
"reward": 1.
|
96 |
-
"reward_std": 0.
|
97 |
"rewards/concensus_correctness_reward_func": 0.0,
|
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.
|
104 |
-
"rewards/xmlcount_reward_func": 0.
|
105 |
"step": 10
|
106 |
},
|
107 |
{
|
108 |
-
"completion_length":
|
109 |
-
"epoch":
|
110 |
-
"grad_norm":
|
111 |
-
"kl": 0.
|
112 |
"learning_rate": 2.2935516363191693e-07,
|
113 |
"loss": 0.0,
|
114 |
-
"reward":
|
115 |
-
"reward_std": 1.
|
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.
|
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": 1.4957614383675767e-07,
|
132 |
"loss": 0.0,
|
133 |
-
"reward":
|
134 |
-
"reward_std": 0.
|
135 |
-
"rewards/concensus_correctness_reward_func": 0.
|
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":
|
149 |
-
"kl": 0.
|
150 |
"learning_rate": 8.067960709356478e-08,
|
151 |
"loss": 0.0,
|
152 |
-
"reward": 1.
|
153 |
-
"reward_std":
|
154 |
-
"rewards/concensus_correctness_reward_func": 0.
|
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.
|
160 |
-
"rewards/strict_format_reward_func": 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": 3.013156219837776e-08,
|
170 |
"loss": 0.0,
|
171 |
-
"reward": 1.
|
172 |
-
"reward_std":
|
173 |
-
"rewards/concensus_correctness_reward_func": 0.
|
174 |
"rewards/consensus_reward_func": 0.0625,
|
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":
|
187 |
-
"kl": 0.
|
188 |
"learning_rate": 3.4096741493194193e-09,
|
189 |
"loss": 0.0,
|
190 |
-
"reward": 1.
|
191 |
-
"reward_std": 1.
|
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": 7.
|
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": {
|
@@ -227,7 +227,7 @@
|
|
227 |
}
|
228 |
},
|
229 |
"total_flos": 0.0,
|
230 |
-
"train_batch_size":
|
231 |
"trial_name": null,
|
232 |
"trial_params": null
|
233 |
}
|
|
|
2 |
"best_global_step": null,
|
3 |
"best_metric": null,
|
4 |
"best_model_checkpoint": null,
|
5 |
+
"epoch": 0.8163265306122449,
|
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": 347.5625,
|
14 |
+
"epoch": 0.08163265306122448,
|
15 |
+
"grad_norm": 0.49709150195121765,
|
16 |
"kl": 0.0,
|
17 |
"learning_rate": 5e-07,
|
18 |
"loss": 0.0,
|
19 |
+
"reward": 1.5538663044571877,
|
20 |
+
"reward_std": 0.8957561552524567,
|
21 |
+
"rewards/concensus_correctness_reward_func": 0.0,
|
22 |
+
"rewards/consensus_reward_func": 0.4375,
|
23 |
"rewards/cumulative_reward_2": 0.0,
|
24 |
+
"rewards/final_correctness_reward_func": 0.1875,
|
25 |
+
"rewards/question_recreation_reward_func": 0.4717725142836571,
|
26 |
"rewards/soft_format_reward_func": 0.0,
|
27 |
+
"rewards/strict_format_reward_func": 0.015625,
|
28 |
+
"rewards/xmlcount_reward_func": 0.44146874733269215,
|
29 |
"step": 2
|
30 |
},
|
31 |
{
|
32 |
+
"completion_length": 392.34375,
|
33 |
+
"epoch": 0.16326530612244897,
|
34 |
+
"grad_norm": 1.0190365314483643,
|
35 |
+
"kl": 0.00082904764713021,
|
36 |
"learning_rate": 4.864543104251586e-07,
|
37 |
"loss": 0.0,
|
38 |
+
"reward": 1.1829268708825111,
|
39 |
+
"reward_std": 0.7207849770784378,
|
40 |
+
"rewards/concensus_correctness_reward_func": 0.0078125,
|
41 |
+
"rewards/consensus_reward_func": 0.0625,
|
42 |
"rewards/cumulative_reward_2": 0.0,
|
43 |
+
"rewards/final_correctness_reward_func": 0.125,
|
44 |
+
"rewards/question_recreation_reward_func": 0.460333114489913,
|
45 |
"rewards/soft_format_reward_func": 0.0,
|
46 |
+
"rewards/strict_format_reward_func": 0.015625,
|
47 |
+
"rewards/xmlcount_reward_func": 0.5116562619805336,
|
48 |
"step": 4
|
49 |
},
|
50 |
{
|
51 |
+
"completion_length": 404.84375,
|
52 |
+
"epoch": 0.24489795918367346,
|
53 |
+
"grad_norm": 4.023301601409912,
|
54 |
+
"kl": 0.0009292965260101482,
|
55 |
"learning_rate": 4.472851273490984e-07,
|
56 |
"loss": 0.0,
|
57 |
+
"reward": 1.3389800153672695,
|
58 |
+
"reward_std": 1.119007632136345,
|
59 |
+
"rewards/concensus_correctness_reward_func": 0.0,
|
60 |
+
"rewards/consensus_reward_func": 0.25,
|
61 |
"rewards/cumulative_reward_2": 0.0,
|
62 |
"rewards/final_correctness_reward_func": 0.125,
|
63 |
+
"rewards/question_recreation_reward_func": 0.6427613086998463,
|
64 |
"rewards/soft_format_reward_func": 0.0,
|
65 |
+
"rewards/strict_format_reward_func": 0.046875,
|
66 |
+
"rewards/xmlcount_reward_func": 0.27434375137090683,
|
67 |
"step": 6
|
68 |
},
|
69 |
{
|
70 |
+
"completion_length": 600.53125,
|
71 |
+
"epoch": 0.32653061224489793,
|
72 |
+
"grad_norm": 0.36614489555358887,
|
73 |
+
"kl": 0.0006038047395122703,
|
74 |
"learning_rate": 3.867370395306068e-07,
|
75 |
"loss": 0.0,
|
76 |
+
"reward": 1.1000889372080564,
|
77 |
+
"reward_std": 1.182983409613371,
|
78 |
+
"rewards/concensus_correctness_reward_func": 0.00787500012665987,
|
79 |
+
"rewards/consensus_reward_func": 0.375,
|
80 |
"rewards/cumulative_reward_2": 0.0,
|
81 |
+
"rewards/final_correctness_reward_func": 0.0625,
|
82 |
+
"rewards/question_recreation_reward_func": 0.7000889368355274,
|
83 |
"rewards/soft_format_reward_func": 0.0,
|
84 |
"rewards/strict_format_reward_func": 0.0,
|
85 |
+
"rewards/xmlcount_reward_func": -0.045374996960163116,
|
86 |
"step": 8
|
87 |
},
|
88 |
{
|
89 |
+
"completion_length": 436.1875,
|
90 |
+
"epoch": 0.40816326530612246,
|
91 |
+
"grad_norm": 0.6466080546379089,
|
92 |
+
"kl": 0.0008341637658304535,
|
93 |
"learning_rate": 3.1137137178519977e-07,
|
94 |
"loss": 0.0,
|
95 |
+
"reward": 1.4170492440462112,
|
96 |
+
"reward_std": 0.8611738085746765,
|
97 |
"rewards/concensus_correctness_reward_func": 0.0,
|
98 |
+
"rewards/consensus_reward_func": 0.125,
|
99 |
"rewards/cumulative_reward_2": 0.0,
|
100 |
+
"rewards/final_correctness_reward_func": 0.3125,
|
101 |
+
"rewards/question_recreation_reward_func": 0.4472992364317179,
|
102 |
"rewards/soft_format_reward_func": 0.0,
|
103 |
+
"rewards/strict_format_reward_func": 0.015625,
|
104 |
+
"rewards/xmlcount_reward_func": 0.51662502810359,
|
105 |
"step": 10
|
106 |
},
|
107 |
{
|
108 |
+
"completion_length": 449.71875,
|
109 |
+
"epoch": 0.4897959183673469,
|
110 |
+
"grad_norm": 0.5686748027801514,
|
111 |
+
"kl": 0.0008683982341608498,
|
112 |
"learning_rate": 2.2935516363191693e-07,
|
113 |
"loss": 0.0,
|
114 |
+
"reward": 1.99321947991848,
|
115 |
+
"reward_std": 1.314138986170292,
|
116 |
+
"rewards/concensus_correctness_reward_func": 0.06006250157952309,
|
117 |
+
"rewards/consensus_reward_func": 0.3125,
|
118 |
"rewards/cumulative_reward_2": 0.0,
|
119 |
+
"rewards/final_correctness_reward_func": 0.625,
|
120 |
+
"rewards/question_recreation_reward_func": 0.4730007923208177,
|
121 |
"rewards/soft_format_reward_func": 0.0,
|
122 |
+
"rewards/strict_format_reward_func": 0.015625,
|
123 |
+
"rewards/xmlcount_reward_func": 0.507031261920929,
|
124 |
"step": 12
|
125 |
},
|
126 |
{
|
127 |
+
"completion_length": 390.1875,
|
128 |
+
"epoch": 0.5714285714285714,
|
129 |
+
"grad_norm": 0.4010433554649353,
|
130 |
+
"kl": 0.0008200560114346445,
|
131 |
"learning_rate": 1.4957614383675767e-07,
|
132 |
"loss": 0.0,
|
133 |
+
"reward": 0.9437324814498425,
|
134 |
+
"reward_std": 0.9435709491372108,
|
135 |
+
"rewards/concensus_correctness_reward_func": 0.03175000101327896,
|
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": 0.4078262336552143,
|
140 |
"rewards/soft_format_reward_func": 0.0,
|
141 |
+
"rewards/strict_format_reward_func": 0.046875,
|
142 |
+
"rewards/xmlcount_reward_func": 0.3947812579572201,
|
143 |
"step": 14
|
144 |
},
|
145 |
{
|
146 |
+
"completion_length": 426.9375,
|
147 |
+
"epoch": 0.6530612244897959,
|
148 |
+
"grad_norm": 0.42668047547340393,
|
149 |
+
"kl": 0.0008046694783843122,
|
150 |
"learning_rate": 8.067960709356478e-08,
|
151 |
"loss": 0.0,
|
152 |
+
"reward": 1.422092966735363,
|
153 |
+
"reward_std": 1.0166446715593338,
|
154 |
+
"rewards/concensus_correctness_reward_func": 0.0521249994635582,
|
155 |
+
"rewards/consensus_reward_func": 0.25,
|
156 |
"rewards/cumulative_reward_2": 0.0,
|
157 |
+
"rewards/final_correctness_reward_func": 0.25,
|
158 |
+
"rewards/question_recreation_reward_func": 0.43712421134114265,
|
159 |
+
"rewards/soft_format_reward_func": 0.015625,
|
160 |
+
"rewards/strict_format_reward_func": 0.046875,
|
161 |
+
"rewards/xmlcount_reward_func": 0.3703437428921461,
|
162 |
"step": 16
|
163 |
},
|
164 |
{
|
165 |
+
"completion_length": 496.0625,
|
166 |
+
"epoch": 0.7346938775510204,
|
167 |
+
"grad_norm": 0.315399169921875,
|
168 |
+
"kl": 0.0007264475461852271,
|
169 |
"learning_rate": 3.013156219837776e-08,
|
170 |
"loss": 0.0,
|
171 |
+
"reward": 1.3017337992787361,
|
172 |
+
"reward_std": 1.078663855791092,
|
173 |
+
"rewards/concensus_correctness_reward_func": 0.0028750000055879354,
|
174 |
"rewards/consensus_reward_func": 0.0625,
|
175 |
"rewards/cumulative_reward_2": 0.0,
|
176 |
+
"rewards/final_correctness_reward_func": 0.3125,
|
177 |
+
"rewards/question_recreation_reward_func": 0.6079837717115879,
|
178 |
"rewards/soft_format_reward_func": 0.0,
|
179 |
+
"rewards/strict_format_reward_func": 0.046875,
|
180 |
+
"rewards/xmlcount_reward_func": 0.269000006839633,
|
181 |
"step": 18
|
182 |
},
|
183 |
{
|
184 |
+
"completion_length": 399.96875,
|
185 |
+
"epoch": 0.8163265306122449,
|
186 |
+
"grad_norm": 0.5829342007637024,
|
187 |
+
"kl": 0.0007923786251922138,
|
188 |
"learning_rate": 3.4096741493194193e-09,
|
189 |
"loss": 0.0,
|
190 |
+
"reward": 1.70121268928051,
|
191 |
+
"reward_std": 1.1589545384049416,
|
192 |
+
"rewards/concensus_correctness_reward_func": 0.0,
|
193 |
+
"rewards/consensus_reward_func": 0.5,
|
194 |
"rewards/cumulative_reward_2": 0.0,
|
195 |
+
"rewards/final_correctness_reward_func": 0.375,
|
196 |
+
"rewards/question_recreation_reward_func": 0.7043689340353012,
|
197 |
"rewards/soft_format_reward_func": 0.0,
|
198 |
"rewards/strict_format_reward_func": 0.0,
|
199 |
+
"rewards/xmlcount_reward_func": 0.12184375338256359,
|
200 |
"step": 20
|
201 |
},
|
202 |
{
|
203 |
+
"epoch": 0.8163265306122449,
|
204 |
"step": 20,
|
205 |
"total_flos": 0.0,
|
206 |
+
"train_loss": 7.248813339799653e-07,
|
207 |
+
"train_runtime": 1624.2404,
|
208 |
+
"train_samples_per_second": 0.197,
|
209 |
+
"train_steps_per_second": 0.012
|
210 |
}
|
211 |
],
|
212 |
"logging_steps": 2,
|
213 |
"max_steps": 20,
|
214 |
"num_input_tokens_seen": 0,
|
215 |
+
"num_train_epochs": 1,
|
216 |
"save_steps": 25,
|
217 |
"stateful_callbacks": {
|
218 |
"TrainerControl": {
|
|
|
227 |
}
|
228 |
},
|
229 |
"total_flos": 0.0,
|
230 |
+
"train_batch_size": 4,
|
231 |
"trial_name": null,
|
232 |
"trial_params": null
|
233 |
}
|
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 sha256:58daae9439a5d747aa80b0e7e3abe0a9dbe1fc8cad663f4a5ef83f7d5bf22325
|
3 |
+
size 5944
|