Transformers
Safetensors
Generated from Trainer
rl-swarm
grpo
gensyn
I am dormant restless python
unsloth
trl
Instructions to use mabera/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-dormant_restless_python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mabera/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-dormant_restless_python with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mabera/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-dormant_restless_python", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
End of training
Browse files- adapter_model.safetensors +1 -1
- all_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +117 -117
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 35237104
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:29d26ece11bdc68ac15009b5d8af102934b8be7c845f35fe26dc23d9b40c811c
|
| 3 |
size 35237104
|
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": 2.5033270617313973e-06,
|
| 4 |
+
"train_runtime": 561.0387,
|
| 5 |
+
"train_samples": 14,
|
| 6 |
+
"train_samples_per_second": 0.57,
|
| 7 |
+
"train_steps_per_second": 0.036
|
| 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": 0.
|
| 7 |
-
"train_steps_per_second": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"total_flos": 0.0,
|
| 3 |
+
"train_loss": 2.5033270617313973e-06,
|
| 4 |
+
"train_runtime": 561.0387,
|
| 5 |
+
"train_samples": 14,
|
| 6 |
+
"train_samples_per_second": 0.57,
|
| 7 |
+
"train_steps_per_second": 0.036
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch":
|
| 5 |
"eval_steps": 500,
|
| 6 |
"global_step": 20,
|
| 7 |
"is_hyper_param_search": false,
|
|
@@ -9,209 +9,209 @@
|
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
-
"completion_length":
|
| 13 |
-
"epoch": 0.
|
| 14 |
-
"grad_norm":
|
| 15 |
-
"kl": 0.
|
| 16 |
"learning_rate": 4.965903258506806e-07,
|
| 17 |
"loss": 0.0,
|
| 18 |
-
"reward": 0.
|
| 19 |
-
"reward_std":
|
| 20 |
-
"rewards/concensus_correctness_reward_func": 0.
|
| 21 |
"rewards/consensus_reward_func": 0.0,
|
| 22 |
"rewards/cumulative_reward_2": 0.0,
|
| 23 |
-
"rewards/final_correctness_reward_func": 0.
|
| 24 |
-
"rewards/question_recreation_reward_func": 0.
|
| 25 |
"rewards/soft_format_reward_func": 0.0,
|
| 26 |
"rewards/strict_format_reward_func": 0.0,
|
| 27 |
-
"rewards/xmlcount_reward_func": 0.
|
| 28 |
"step": 2
|
| 29 |
},
|
| 30 |
{
|
| 31 |
-
"completion_length":
|
| 32 |
-
"epoch":
|
| 33 |
-
"grad_norm":
|
| 34 |
-
"kl": 0.
|
| 35 |
"learning_rate": 4.698684378016222e-07,
|
| 36 |
"loss": 0.0,
|
| 37 |
-
"reward":
|
| 38 |
-
"reward_std":
|
| 39 |
-
"rewards/concensus_correctness_reward_func": 0.
|
| 40 |
-
"rewards/consensus_reward_func": 0.
|
| 41 |
"rewards/cumulative_reward_2": 0.0,
|
| 42 |
-
"rewards/final_correctness_reward_func": 0.
|
| 43 |
-
"rewards/question_recreation_reward_func": 0.
|
| 44 |
"rewards/soft_format_reward_func": 0.0,
|
| 45 |
"rewards/strict_format_reward_func": 0.0,
|
| 46 |
-
"rewards/xmlcount_reward_func": 0.
|
| 47 |
"step": 4
|
| 48 |
},
|
| 49 |
{
|
| 50 |
-
"completion_length":
|
| 51 |
-
"epoch": 1.
|
| 52 |
-
"grad_norm":
|
| 53 |
-
"kl": 0.
|
| 54 |
"learning_rate": 4.193203929064353e-07,
|
| 55 |
"loss": 0.0,
|
| 56 |
-
"reward":
|
| 57 |
-
"reward_std":
|
| 58 |
-
"rewards/concensus_correctness_reward_func": 0.
|
| 59 |
-
"rewards/consensus_reward_func": 0.
|
| 60 |
"rewards/cumulative_reward_2": 0.0,
|
| 61 |
-
"rewards/final_correctness_reward_func": 0.
|
| 62 |
-
"rewards/question_recreation_reward_func": 0.
|
| 63 |
-
"rewards/soft_format_reward_func": 0.
|
| 64 |
"rewards/strict_format_reward_func": 0.0,
|
| 65 |
-
"rewards/xmlcount_reward_func": 0.
|
| 66 |
"step": 6
|
| 67 |
},
|
| 68 |
{
|
| 69 |
-
"completion_length":
|
| 70 |
-
"epoch":
|
| 71 |
-
"grad_norm":
|
| 72 |
-
"kl": 0.
|
| 73 |
"learning_rate": 3.5042385616324236e-07,
|
| 74 |
"loss": 0.0,
|
| 75 |
-
"reward":
|
| 76 |
-
"reward_std":
|
| 77 |
-
"rewards/concensus_correctness_reward_func":
|
| 78 |
-
"rewards/consensus_reward_func": 0.
|
| 79 |
"rewards/cumulative_reward_2": 0.0,
|
| 80 |
-
"rewards/final_correctness_reward_func": 0.
|
| 81 |
-
"rewards/question_recreation_reward_func": 0.
|
| 82 |
-
"rewards/soft_format_reward_func": 0.
|
| 83 |
"rewards/strict_format_reward_func": 0.0,
|
| 84 |
-
"rewards/xmlcount_reward_func": 0.
|
| 85 |
"step": 8
|
| 86 |
},
|
| 87 |
{
|
| 88 |
-
"completion_length":
|
| 89 |
-
"epoch": 2.
|
| 90 |
-
"grad_norm":
|
| 91 |
-
"kl": 0.
|
| 92 |
"learning_rate": 2.706448363680831e-07,
|
| 93 |
"loss": 0.0,
|
| 94 |
-
"reward":
|
| 95 |
-
"reward_std":
|
| 96 |
"rewards/concensus_correctness_reward_func": 0.0,
|
| 97 |
"rewards/consensus_reward_func": 0.0,
|
| 98 |
"rewards/cumulative_reward_2": 0.0,
|
| 99 |
-
"rewards/final_correctness_reward_func": 0.
|
| 100 |
-
"rewards/question_recreation_reward_func": 0.
|
| 101 |
"rewards/soft_format_reward_func": 0.0,
|
| 102 |
-
"rewards/strict_format_reward_func": 0.
|
| 103 |
-
"rewards/xmlcount_reward_func": 0.
|
| 104 |
"step": 10
|
| 105 |
},
|
| 106 |
{
|
| 107 |
-
"completion_length":
|
| 108 |
-
"epoch":
|
| 109 |
-
"grad_norm":
|
| 110 |
-
"kl": 0.
|
| 111 |
"learning_rate": 1.886286282148002e-07,
|
| 112 |
"loss": 0.0,
|
| 113 |
-
"reward": 1.
|
| 114 |
-
"reward_std":
|
| 115 |
-
"rewards/concensus_correctness_reward_func": 0.
|
| 116 |
-
"rewards/consensus_reward_func": 0.
|
| 117 |
"rewards/cumulative_reward_2": 0.0,
|
| 118 |
-
"rewards/final_correctness_reward_func": 0.
|
| 119 |
-
"rewards/question_recreation_reward_func": 0.
|
| 120 |
"rewards/soft_format_reward_func": 0.0,
|
| 121 |
"rewards/strict_format_reward_func": 0.0,
|
| 122 |
-
"rewards/xmlcount_reward_func": 0.
|
| 123 |
"step": 12
|
| 124 |
},
|
| 125 |
{
|
| 126 |
-
"completion_length":
|
| 127 |
-
"epoch":
|
| 128 |
-
"grad_norm":
|
| 129 |
-
"kl": 0.
|
| 130 |
"learning_rate": 1.1326296046939333e-07,
|
| 131 |
"loss": 0.0,
|
| 132 |
-
"reward":
|
| 133 |
-
"reward_std": 1.
|
| 134 |
-
"rewards/concensus_correctness_reward_func":
|
| 135 |
-
"rewards/consensus_reward_func": 0.
|
| 136 |
"rewards/cumulative_reward_2": 0.0,
|
| 137 |
-
"rewards/final_correctness_reward_func": 0.
|
| 138 |
-
"rewards/question_recreation_reward_func": 0.
|
| 139 |
"rewards/soft_format_reward_func": 0.0,
|
| 140 |
"rewards/strict_format_reward_func": 0.0,
|
| 141 |
-
"rewards/xmlcount_reward_func": -0.
|
| 142 |
"step": 14
|
| 143 |
},
|
| 144 |
{
|
| 145 |
-
"completion_length":
|
| 146 |
-
"epoch":
|
| 147 |
-
"grad_norm":
|
| 148 |
-
"kl": 0.
|
| 149 |
"learning_rate": 5.271487265090163e-08,
|
| 150 |
"loss": 0.0,
|
| 151 |
-
"reward": 1.
|
| 152 |
-
"reward_std":
|
| 153 |
-
"rewards/concensus_correctness_reward_func": 0.
|
| 154 |
-
"rewards/consensus_reward_func": 0.
|
| 155 |
"rewards/cumulative_reward_2": 0.0,
|
| 156 |
-
"rewards/final_correctness_reward_func": 0.
|
| 157 |
-
"rewards/question_recreation_reward_func": 0.
|
| 158 |
"rewards/soft_format_reward_func": 0.0,
|
| 159 |
"rewards/strict_format_reward_func": 0.0,
|
| 160 |
-
"rewards/xmlcount_reward_func": 0.
|
| 161 |
"step": 16
|
| 162 |
},
|
| 163 |
{
|
| 164 |
-
"completion_length":
|
| 165 |
-
"epoch":
|
| 166 |
-
"grad_norm":
|
| 167 |
-
"kl": 0.
|
| 168 |
"learning_rate": 1.3545689574841341e-08,
|
| 169 |
"loss": 0.0,
|
| 170 |
-
"reward":
|
| 171 |
-
"reward_std":
|
| 172 |
-
"rewards/concensus_correctness_reward_func": 0.
|
| 173 |
-
"rewards/consensus_reward_func": 0.
|
| 174 |
"rewards/cumulative_reward_2": 0.0,
|
| 175 |
-
"rewards/final_correctness_reward_func": 0.
|
| 176 |
-
"rewards/question_recreation_reward_func": 0.
|
| 177 |
-
"rewards/soft_format_reward_func": 0.
|
| 178 |
"rewards/strict_format_reward_func": 0.0,
|
| 179 |
-
"rewards/xmlcount_reward_func": 0.
|
| 180 |
"step": 18
|
| 181 |
},
|
| 182 |
{
|
| 183 |
-
"completion_length":
|
| 184 |
-
"epoch":
|
| 185 |
-
"grad_norm":
|
| 186 |
-
"kl": 0.
|
| 187 |
"learning_rate": 0.0,
|
| 188 |
"loss": 0.0,
|
| 189 |
-
"reward": 0.
|
| 190 |
-
"reward_std":
|
| 191 |
-
"rewards/concensus_correctness_reward_func": 0.
|
| 192 |
-
"rewards/consensus_reward_func": 0.
|
| 193 |
"rewards/cumulative_reward_2": 0.0,
|
| 194 |
"rewards/final_correctness_reward_func": 0.25,
|
| 195 |
-
"rewards/question_recreation_reward_func": 0.
|
| 196 |
"rewards/soft_format_reward_func": 0.0,
|
| 197 |
"rewards/strict_format_reward_func": 0.0,
|
| 198 |
-
"rewards/xmlcount_reward_func":
|
| 199 |
"step": 20
|
| 200 |
},
|
| 201 |
{
|
| 202 |
-
"epoch":
|
| 203 |
"step": 20,
|
| 204 |
"total_flos": 0.0,
|
| 205 |
-
"train_loss":
|
| 206 |
-
"train_runtime":
|
| 207 |
-
"train_samples_per_second": 0.
|
| 208 |
-
"train_steps_per_second": 0.
|
| 209 |
}
|
| 210 |
],
|
| 211 |
"logging_steps": 2,
|
| 212 |
"max_steps": 20,
|
| 213 |
"num_input_tokens_seen": 0,
|
| 214 |
-
"num_train_epochs":
|
| 215 |
"save_steps": 25,
|
| 216 |
"stateful_callbacks": {
|
| 217 |
"TrainerControl": {
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 5.0,
|
| 5 |
"eval_steps": 500,
|
| 6 |
"global_step": 20,
|
| 7 |
"is_hyper_param_search": false,
|
|
|
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
+
"completion_length": 380.75,
|
| 13 |
+
"epoch": 0.5714285714285714,
|
| 14 |
+
"grad_norm": 3.2658472061157227,
|
| 15 |
+
"kl": 0.002441615804855246,
|
| 16 |
"learning_rate": 4.965903258506806e-07,
|
| 17 |
"loss": 0.0,
|
| 18 |
+
"reward": 0.25457921205088496,
|
| 19 |
+
"reward_std": 0.7497397037222981,
|
| 20 |
+
"rewards/concensus_correctness_reward_func": 0.0,
|
| 21 |
"rewards/consensus_reward_func": 0.0,
|
| 22 |
"rewards/cumulative_reward_2": 0.0,
|
| 23 |
+
"rewards/final_correctness_reward_func": 0.1875,
|
| 24 |
+
"rewards/question_recreation_reward_func": 0.17123546241782606,
|
| 25 |
"rewards/soft_format_reward_func": 0.0,
|
| 26 |
"rewards/strict_format_reward_func": 0.0,
|
| 27 |
+
"rewards/xmlcount_reward_func": -0.10415624268352985,
|
| 28 |
"step": 2
|
| 29 |
},
|
| 30 |
{
|
| 31 |
+
"completion_length": 477.5416666666667,
|
| 32 |
+
"epoch": 1.0,
|
| 33 |
+
"grad_norm": 9.751885414123535,
|
| 34 |
+
"kl": 0.0027688652432213226,
|
| 35 |
"learning_rate": 4.698684378016222e-07,
|
| 36 |
"loss": 0.0,
|
| 37 |
+
"reward": 0.2258941854039828,
|
| 38 |
+
"reward_std": 0.5309189086159071,
|
| 39 |
+
"rewards/concensus_correctness_reward_func": 0.0,
|
| 40 |
+
"rewards/consensus_reward_func": 0.0,
|
| 41 |
"rewards/cumulative_reward_2": 0.0,
|
| 42 |
+
"rewards/final_correctness_reward_func": 0.08333333333333333,
|
| 43 |
+
"rewards/question_recreation_reward_func": 0.22968583926558495,
|
| 44 |
"rewards/soft_format_reward_func": 0.0,
|
| 45 |
"rewards/strict_format_reward_func": 0.0,
|
| 46 |
+
"rewards/xmlcount_reward_func": -0.08712499557683866,
|
| 47 |
"step": 4
|
| 48 |
},
|
| 49 |
{
|
| 50 |
+
"completion_length": 340.28125,
|
| 51 |
+
"epoch": 1.5714285714285714,
|
| 52 |
+
"grad_norm": 2.0237159729003906,
|
| 53 |
+
"kl": 0.0016068490367615595,
|
| 54 |
"learning_rate": 4.193203929064353e-07,
|
| 55 |
"loss": 0.0,
|
| 56 |
+
"reward": 0.41925548017024994,
|
| 57 |
+
"reward_std": 0.694330379832536,
|
| 58 |
+
"rewards/concensus_correctness_reward_func": 0.0078125,
|
| 59 |
+
"rewards/consensus_reward_func": 0.0,
|
| 60 |
"rewards/cumulative_reward_2": 0.0,
|
| 61 |
+
"rewards/final_correctness_reward_func": 0.1875,
|
| 62 |
+
"rewards/question_recreation_reward_func": 0.13991173182148486,
|
| 63 |
+
"rewards/soft_format_reward_func": 0.0,
|
| 64 |
"rewards/strict_format_reward_func": 0.0,
|
| 65 |
+
"rewards/xmlcount_reward_func": 0.08403124753385782,
|
| 66 |
"step": 6
|
| 67 |
},
|
| 68 |
{
|
| 69 |
+
"completion_length": 340.1666666666667,
|
| 70 |
+
"epoch": 2.0,
|
| 71 |
+
"grad_norm": 2.802516460418701,
|
| 72 |
+
"kl": 0.00871574851529052,
|
| 73 |
"learning_rate": 3.5042385616324236e-07,
|
| 74 |
"loss": 0.0,
|
| 75 |
+
"reward": 2.3500575547417006,
|
| 76 |
+
"reward_std": 2.4711769918600717,
|
| 77 |
+
"rewards/concensus_correctness_reward_func": 1.6666666666666667,
|
| 78 |
+
"rewards/consensus_reward_func": 0.0,
|
| 79 |
"rewards/cumulative_reward_2": 0.0,
|
| 80 |
+
"rewards/final_correctness_reward_func": 0.3333333333333333,
|
| 81 |
+
"rewards/question_recreation_reward_func": 0.36718254288037616,
|
| 82 |
+
"rewards/soft_format_reward_func": 0.0,
|
| 83 |
"rewards/strict_format_reward_func": 0.0,
|
| 84 |
+
"rewards/xmlcount_reward_func": -0.017124999935428303,
|
| 85 |
"step": 8
|
| 86 |
},
|
| 87 |
{
|
| 88 |
+
"completion_length": 412.78125,
|
| 89 |
+
"epoch": 2.571428571428571,
|
| 90 |
+
"grad_norm": 1.4599255323410034,
|
| 91 |
+
"kl": 0.0019848650772473775,
|
| 92 |
"learning_rate": 2.706448363680831e-07,
|
| 93 |
"loss": 0.0,
|
| 94 |
+
"reward": 0.2086572889238596,
|
| 95 |
+
"reward_std": 0.4712572921998799,
|
| 96 |
"rewards/concensus_correctness_reward_func": 0.0,
|
| 97 |
"rewards/consensus_reward_func": 0.0,
|
| 98 |
"rewards/cumulative_reward_2": 0.0,
|
| 99 |
+
"rewards/final_correctness_reward_func": 0.0625,
|
| 100 |
+
"rewards/question_recreation_reward_func": 0.2022197861224413,
|
| 101 |
"rewards/soft_format_reward_func": 0.0,
|
| 102 |
+
"rewards/strict_format_reward_func": 0.0,
|
| 103 |
+
"rewards/xmlcount_reward_func": -0.05606249812990427,
|
| 104 |
"step": 10
|
| 105 |
},
|
| 106 |
{
|
| 107 |
+
"completion_length": 506.5416666666667,
|
| 108 |
+
"epoch": 3.0,
|
| 109 |
+
"grad_norm": 2.3391497135162354,
|
| 110 |
+
"kl": 0.0016113731738490362,
|
| 111 |
"learning_rate": 1.886286282148002e-07,
|
| 112 |
"loss": 0.0,
|
| 113 |
+
"reward": 1.0101854726672173,
|
| 114 |
+
"reward_std": 2.4752619365851083,
|
| 115 |
+
"rewards/concensus_correctness_reward_func": 0.8333333333333334,
|
| 116 |
+
"rewards/consensus_reward_func": 0.0,
|
| 117 |
"rewards/cumulative_reward_2": 0.0,
|
| 118 |
+
"rewards/final_correctness_reward_func": 0.16666666666666666,
|
| 119 |
+
"rewards/question_recreation_reward_func": 0.25510215759277344,
|
| 120 |
"rewards/soft_format_reward_func": 0.0,
|
| 121 |
"rewards/strict_format_reward_func": 0.0,
|
| 122 |
+
"rewards/xmlcount_reward_func": -0.244916670024395,
|
| 123 |
"step": 12
|
| 124 |
},
|
| 125 |
{
|
| 126 |
+
"completion_length": 472.40625,
|
| 127 |
+
"epoch": 3.571428571428571,
|
| 128 |
+
"grad_norm": 1.8769646883010864,
|
| 129 |
+
"kl": 0.001703827321762219,
|
| 130 |
"learning_rate": 1.1326296046939333e-07,
|
| 131 |
"loss": 0.0,
|
| 132 |
+
"reward": 1.6477174372412264,
|
| 133 |
+
"reward_std": 1.7785091185942292,
|
| 134 |
+
"rewards/concensus_correctness_reward_func": 1.2578125,
|
| 135 |
+
"rewards/consensus_reward_func": 0.0625,
|
| 136 |
"rewards/cumulative_reward_2": 0.0,
|
| 137 |
+
"rewards/final_correctness_reward_func": 0.1875,
|
| 138 |
+
"rewards/question_recreation_reward_func": 0.34727994725108147,
|
| 139 |
"rewards/soft_format_reward_func": 0.0,
|
| 140 |
"rewards/strict_format_reward_func": 0.0,
|
| 141 |
+
"rewards/xmlcount_reward_func": -0.20737499929964542,
|
| 142 |
"step": 14
|
| 143 |
},
|
| 144 |
{
|
| 145 |
+
"completion_length": 371.0833333333333,
|
| 146 |
+
"epoch": 4.0,
|
| 147 |
+
"grad_norm": 4.798888683319092,
|
| 148 |
+
"kl": 0.004414637068596979,
|
| 149 |
"learning_rate": 5.271487265090163e-08,
|
| 150 |
"loss": 0.0,
|
| 151 |
+
"reward": 1.1725354778269927,
|
| 152 |
+
"reward_std": 2.4872060331205526,
|
| 153 |
+
"rewards/concensus_correctness_reward_func": 0.8333333333333334,
|
| 154 |
+
"rewards/consensus_reward_func": 0.0,
|
| 155 |
"rewards/cumulative_reward_2": 0.0,
|
| 156 |
+
"rewards/final_correctness_reward_func": 0.16666666666666666,
|
| 157 |
+
"rewards/question_recreation_reward_func": 0.18761878398557505,
|
| 158 |
"rewards/soft_format_reward_func": 0.0,
|
| 159 |
"rewards/strict_format_reward_func": 0.0,
|
| 160 |
+
"rewards/xmlcount_reward_func": -0.015083340307076773,
|
| 161 |
"step": 16
|
| 162 |
},
|
| 163 |
{
|
| 164 |
+
"completion_length": 457.0,
|
| 165 |
+
"epoch": 4.571428571428571,
|
| 166 |
+
"grad_norm": 2.0245349407196045,
|
| 167 |
+
"kl": 0.0014776990574318916,
|
| 168 |
"learning_rate": 1.3545689574841341e-08,
|
| 169 |
"loss": 0.0,
|
| 170 |
+
"reward": 0.26492203027009964,
|
| 171 |
+
"reward_std": 0.8164641298353672,
|
| 172 |
+
"rewards/concensus_correctness_reward_func": 0.0,
|
| 173 |
+
"rewards/consensus_reward_func": 0.0,
|
| 174 |
"rewards/cumulative_reward_2": 0.0,
|
| 175 |
+
"rewards/final_correctness_reward_func": 0.1875,
|
| 176 |
+
"rewards/question_recreation_reward_func": 0.23551576770842075,
|
| 177 |
+
"rewards/soft_format_reward_func": 0.0,
|
| 178 |
"rewards/strict_format_reward_func": 0.0,
|
| 179 |
+
"rewards/xmlcount_reward_func": -0.15809375420212746,
|
| 180 |
"step": 18
|
| 181 |
},
|
| 182 |
{
|
| 183 |
+
"completion_length": 284.0,
|
| 184 |
+
"epoch": 5.0,
|
| 185 |
+
"grad_norm": 77.61033630371094,
|
| 186 |
+
"kl": 0.0036686273330512145,
|
| 187 |
"learning_rate": 0.0,
|
| 188 |
"loss": 0.0,
|
| 189 |
+
"reward": 0.7023521810770035,
|
| 190 |
+
"reward_std": 0.8045435522993406,
|
| 191 |
+
"rewards/concensus_correctness_reward_func": 0.03675000121196111,
|
| 192 |
+
"rewards/consensus_reward_func": 0.08333333333333333,
|
| 193 |
"rewards/cumulative_reward_2": 0.0,
|
| 194 |
"rewards/final_correctness_reward_func": 0.25,
|
| 195 |
+
"rewards/question_recreation_reward_func": 0.11218550615012646,
|
| 196 |
"rewards/soft_format_reward_func": 0.0,
|
| 197 |
"rewards/strict_format_reward_func": 0.0,
|
| 198 |
+
"rewards/xmlcount_reward_func": 0.2200833410024643,
|
| 199 |
"step": 20
|
| 200 |
},
|
| 201 |
{
|
| 202 |
+
"epoch": 5.0,
|
| 203 |
"step": 20,
|
| 204 |
"total_flos": 0.0,
|
| 205 |
+
"train_loss": 2.5033270617313973e-06,
|
| 206 |
+
"train_runtime": 561.0387,
|
| 207 |
+
"train_samples_per_second": 0.57,
|
| 208 |
+
"train_steps_per_second": 0.036
|
| 209 |
}
|
| 210 |
],
|
| 211 |
"logging_steps": 2,
|
| 212 |
"max_steps": 20,
|
| 213 |
"num_input_tokens_seen": 0,
|
| 214 |
+
"num_train_epochs": 7,
|
| 215 |
"save_steps": 25,
|
| 216 |
"stateful_callbacks": {
|
| 217 |
"TrainerControl": {
|