End of training
Browse files- adapter_model.safetensors +1 -1
- all_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +124 -124
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:eb8e7992d9b9dcfdc644c2586b95d3dc6899e27830d7600186c9412156adf930
|
| 3 |
size 35237104
|
all_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"total_flos": 0.0,
|
| 3 |
-
"train_loss": 0.
|
| 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": 0.00022269619221333415,
|
| 4 |
+
"train_runtime": 773.4856,
|
| 5 |
+
"train_samples": 59,
|
| 6 |
+
"train_samples_per_second": 0.414,
|
| 7 |
+
"train_steps_per_second": 0.026
|
| 8 |
}
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"total_flos": 0.0,
|
| 3 |
-
"train_loss": 0.
|
| 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": 0.00022269619221333415,
|
| 4 |
+
"train_runtime": 773.4856,
|
| 5 |
+
"train_samples": 59,
|
| 6 |
+
"train_samples_per_second": 0.414,
|
| 7 |
+
"train_steps_per_second": 0.026
|
| 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": 2.
|
| 15 |
-
"kl": 0.
|
| 16 |
"learning_rate": 4.965903258506806e-07,
|
| 17 |
"loss": 0.0002,
|
| 18 |
-
"reward":
|
| 19 |
-
"reward_std": 2.
|
| 20 |
-
"rewards/concensus_correctness_reward_func": 0.
|
| 21 |
"rewards/consensus_reward_func": 0.1875,
|
| 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.
|
| 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.
|
| 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.
|
| 46 |
-
"rewards/xmlcount_reward_func": 0.
|
| 47 |
"step": 4
|
| 48 |
},
|
| 49 |
{
|
| 50 |
-
"completion_length":
|
| 51 |
-
"epoch":
|
| 52 |
-
"grad_norm": 3.
|
| 53 |
-
"kl": 0.
|
| 54 |
"learning_rate": 4.193203929064353e-07,
|
| 55 |
"loss": 0.0002,
|
| 56 |
-
"reward": 2.
|
| 57 |
-
"reward_std":
|
| 58 |
-
"rewards/concensus_correctness_reward_func":
|
| 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": 0.0,
|
| 64 |
-
"rewards/strict_format_reward_func": 0.
|
| 65 |
-
"rewards/xmlcount_reward_func": 0.
|
| 66 |
"step": 6
|
| 67 |
},
|
| 68 |
{
|
| 69 |
-
"completion_length":
|
| 70 |
-
"epoch":
|
| 71 |
-
"grad_norm": 2.
|
| 72 |
-
"kl": 0.
|
| 73 |
"learning_rate": 3.5042385616324236e-07,
|
| 74 |
"loss": 0.0002,
|
| 75 |
-
"reward":
|
| 76 |
-
"reward_std":
|
| 77 |
-
"rewards/concensus_correctness_reward_func": 0.
|
| 78 |
"rewards/consensus_reward_func": 0.1875,
|
| 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": 0.0,
|
| 83 |
"rewards/strict_format_reward_func": 0.015625,
|
| 84 |
-
"rewards/xmlcount_reward_func": 0.
|
| 85 |
"step": 8
|
| 86 |
},
|
| 87 |
{
|
| 88 |
-
"completion_length":
|
| 89 |
-
"epoch":
|
| 90 |
-
"grad_norm": 2.
|
| 91 |
-
"kl": 0.
|
| 92 |
"learning_rate": 2.706448363680831e-07,
|
| 93 |
"loss": 0.0002,
|
| 94 |
-
"reward":
|
| 95 |
-
"reward_std":
|
| 96 |
-
"rewards/concensus_correctness_reward_func": 0.
|
| 97 |
-
"rewards/consensus_reward_func": 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": 0.03125,
|
| 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": 0.0002,
|
| 113 |
-
"reward": 1.
|
| 114 |
-
"reward_std": 1.
|
| 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": 0.015625,
|
| 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": 0.0002,
|
| 132 |
-
"reward":
|
| 133 |
-
"reward_std":
|
| 134 |
-
"rewards/concensus_correctness_reward_func": 0.
|
| 135 |
-
"rewards/consensus_reward_func": 0.
|
| 136 |
"rewards/cumulative_reward_2": 0.0,
|
| 137 |
-
"rewards/final_correctness_reward_func":
|
| 138 |
-
"rewards/question_recreation_reward_func": 0.
|
| 139 |
"rewards/soft_format_reward_func": 0.0,
|
| 140 |
-
"rewards/strict_format_reward_func": 0.
|
| 141 |
-
"rewards/xmlcount_reward_func": 0.
|
| 142 |
"step": 14
|
| 143 |
},
|
| 144 |
{
|
| 145 |
-
"completion_length":
|
| 146 |
-
"epoch":
|
| 147 |
-
"grad_norm": 2.
|
| 148 |
-
"kl": 0.
|
| 149 |
"learning_rate": 5.271487265090163e-08,
|
| 150 |
-
"loss": 0.
|
| 151 |
-
"reward": 2.
|
| 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.
|
| 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": 0.0002,
|
| 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": 0.0,
|
| 178 |
-
"rewards/strict_format_reward_func": 0.
|
| 179 |
-
"rewards/xmlcount_reward_func": 0.
|
| 180 |
"step": 18
|
| 181 |
},
|
| 182 |
{
|
| 183 |
-
"completion_length":
|
| 184 |
-
"epoch":
|
| 185 |
-
"grad_norm": 2.
|
| 186 |
-
"kl": 0.
|
| 187 |
"learning_rate": 0.0,
|
| 188 |
"loss": 0.0002,
|
| 189 |
-
"reward":
|
| 190 |
-
"reward_std":
|
| 191 |
-
"rewards/concensus_correctness_reward_func":
|
| 192 |
-
"rewards/consensus_reward_func": 0.
|
| 193 |
"rewards/cumulative_reward_2": 0.0,
|
| 194 |
-
"rewards/final_correctness_reward_func": 0.
|
| 195 |
-
"rewards/question_recreation_reward_func": 0.
|
| 196 |
"rewards/soft_format_reward_func": 0.0,
|
| 197 |
-
"rewards/strict_format_reward_func": 0.
|
| 198 |
-
"rewards/xmlcount_reward_func": 0.
|
| 199 |
"step": 20
|
| 200 |
},
|
| 201 |
{
|
| 202 |
-
"epoch":
|
| 203 |
"step": 20,
|
| 204 |
"total_flos": 0.0,
|
| 205 |
-
"train_loss": 0.
|
| 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": 1.3389830508474576,
|
| 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": 440.1875,
|
| 13 |
+
"epoch": 0.13559322033898305,
|
| 14 |
+
"grad_norm": 2.6397361755371094,
|
| 15 |
+
"kl": 0.23365284595638514,
|
| 16 |
"learning_rate": 4.965903258506806e-07,
|
| 17 |
"loss": 0.0002,
|
| 18 |
+
"reward": 2.529710963368416,
|
| 19 |
+
"reward_std": 2.834677182137966,
|
| 20 |
+
"rewards/concensus_correctness_reward_func": 0.7976874969899654,
|
| 21 |
"rewards/consensus_reward_func": 0.1875,
|
| 22 |
"rewards/cumulative_reward_2": 0.0,
|
| 23 |
+
"rewards/final_correctness_reward_func": 0.6875,
|
| 24 |
+
"rewards/question_recreation_reward_func": 0.47633595019578934,
|
| 25 |
"rewards/soft_format_reward_func": 0.0,
|
| 26 |
+
"rewards/strict_format_reward_func": 0.03125,
|
| 27 |
+
"rewards/xmlcount_reward_func": 0.34943751245737076,
|
| 28 |
"step": 2
|
| 29 |
},
|
| 30 |
{
|
| 31 |
+
"completion_length": 420.5625,
|
| 32 |
+
"epoch": 0.2711864406779661,
|
| 33 |
+
"grad_norm": 3.800398826599121,
|
| 34 |
+
"kl": 0.25170137733221054,
|
| 35 |
"learning_rate": 4.698684378016222e-07,
|
| 36 |
+
"loss": 0.0003,
|
| 37 |
+
"reward": 2.206221915781498,
|
| 38 |
+
"reward_std": 2.4925178214907646,
|
| 39 |
+
"rewards/concensus_correctness_reward_func": 0.7796249948441982,
|
| 40 |
+
"rewards/consensus_reward_func": 0.1875,
|
| 41 |
"rewards/cumulative_reward_2": 0.0,
|
| 42 |
+
"rewards/final_correctness_reward_func": 0.5625,
|
| 43 |
+
"rewards/question_recreation_reward_func": 0.4767844695597887,
|
| 44 |
"rewards/soft_format_reward_func": 0.0,
|
| 45 |
+
"rewards/strict_format_reward_func": 0.03125,
|
| 46 |
+
"rewards/xmlcount_reward_func": 0.16856250911951065,
|
| 47 |
"step": 4
|
| 48 |
},
|
| 49 |
{
|
| 50 |
+
"completion_length": 443.625,
|
| 51 |
+
"epoch": 0.4067796610169492,
|
| 52 |
+
"grad_norm": 3.21205472946167,
|
| 53 |
+
"kl": 0.20815220894291997,
|
| 54 |
"learning_rate": 4.193203929064353e-07,
|
| 55 |
"loss": 0.0002,
|
| 56 |
+
"reward": 2.6189979696646333,
|
| 57 |
+
"reward_std": 4.510454621165991,
|
| 58 |
+
"rewards/concensus_correctness_reward_func": 1.3033749982714653,
|
| 59 |
+
"rewards/consensus_reward_func": 0.25,
|
| 60 |
"rewards/cumulative_reward_2": 0.0,
|
| 61 |
+
"rewards/final_correctness_reward_func": 0.6875,
|
| 62 |
+
"rewards/question_recreation_reward_func": 0.4360604081302881,
|
| 63 |
"rewards/soft_format_reward_func": 0.0,
|
| 64 |
+
"rewards/strict_format_reward_func": 0.015625,
|
| 65 |
+
"rewards/xmlcount_reward_func": -0.07356248795986176,
|
| 66 |
"step": 6
|
| 67 |
},
|
| 68 |
{
|
| 69 |
+
"completion_length": 418.28125,
|
| 70 |
+
"epoch": 0.5423728813559322,
|
| 71 |
+
"grad_norm": 2.976470470428467,
|
| 72 |
+
"kl": 0.22151856869459152,
|
| 73 |
"learning_rate": 3.5042385616324236e-07,
|
| 74 |
"loss": 0.0002,
|
| 75 |
+
"reward": 2.7691685780882835,
|
| 76 |
+
"reward_std": 2.0635689543560147,
|
| 77 |
+
"rewards/concensus_correctness_reward_func": 0.7698125019669533,
|
| 78 |
"rewards/consensus_reward_func": 0.1875,
|
| 79 |
"rewards/cumulative_reward_2": 0.0,
|
| 80 |
+
"rewards/final_correctness_reward_func": 1.0,
|
| 81 |
+
"rewards/question_recreation_reward_func": 0.48498106747865677,
|
| 82 |
"rewards/soft_format_reward_func": 0.0,
|
| 83 |
"rewards/strict_format_reward_func": 0.015625,
|
| 84 |
+
"rewards/xmlcount_reward_func": 0.3112500011920929,
|
| 85 |
"step": 8
|
| 86 |
},
|
| 87 |
{
|
| 88 |
+
"completion_length": 365.59375,
|
| 89 |
+
"epoch": 0.6779661016949152,
|
| 90 |
+
"grad_norm": 2.282454252243042,
|
| 91 |
+
"kl": 0.227860270999372,
|
| 92 |
"learning_rate": 2.706448363680831e-07,
|
| 93 |
"loss": 0.0002,
|
| 94 |
+
"reward": 1.5446543842554092,
|
| 95 |
+
"reward_std": 1.3974873423576355,
|
| 96 |
+
"rewards/concensus_correctness_reward_func": 0.12262500077486038,
|
| 97 |
+
"rewards/consensus_reward_func": 0.1875,
|
| 98 |
"rewards/cumulative_reward_2": 0.0,
|
| 99 |
+
"rewards/final_correctness_reward_func": 0.25,
|
| 100 |
+
"rewards/question_recreation_reward_func": 0.46612313482910395,
|
| 101 |
"rewards/soft_format_reward_func": 0.0,
|
| 102 |
"rewards/strict_format_reward_func": 0.03125,
|
| 103 |
+
"rewards/xmlcount_reward_func": 0.4871562458574772,
|
| 104 |
"step": 10
|
| 105 |
},
|
| 106 |
{
|
| 107 |
+
"completion_length": 479.3125,
|
| 108 |
+
"epoch": 0.8135593220338984,
|
| 109 |
+
"grad_norm": 1.3404556512832642,
|
| 110 |
+
"kl": 0.15829397086054087,
|
| 111 |
"learning_rate": 1.886286282148002e-07,
|
| 112 |
"loss": 0.0002,
|
| 113 |
+
"reward": 1.287272036075592,
|
| 114 |
+
"reward_std": 1.4873889423906803,
|
| 115 |
+
"rewards/concensus_correctness_reward_func": 0.09025000035762787,
|
| 116 |
+
"rewards/consensus_reward_func": 0.0625,
|
| 117 |
"rewards/cumulative_reward_2": 0.0,
|
| 118 |
+
"rewards/final_correctness_reward_func": 0.3125,
|
| 119 |
+
"rewards/question_recreation_reward_func": 0.576834574341774,
|
| 120 |
"rewards/soft_format_reward_func": 0.0,
|
| 121 |
"rewards/strict_format_reward_func": 0.015625,
|
| 122 |
+
"rewards/xmlcount_reward_func": 0.22956250980496407,
|
| 123 |
"step": 12
|
| 124 |
},
|
| 125 |
{
|
| 126 |
+
"completion_length": 234.6875,
|
| 127 |
+
"epoch": 0.9491525423728814,
|
| 128 |
+
"grad_norm": 3.240541934967041,
|
| 129 |
+
"kl": 0.23888456635177135,
|
| 130 |
"learning_rate": 1.1326296046939333e-07,
|
| 131 |
"loss": 0.0002,
|
| 132 |
+
"reward": 3.257312387228012,
|
| 133 |
+
"reward_std": 2.7849474009126425,
|
| 134 |
+
"rewards/concensus_correctness_reward_func": 0.7554375007748604,
|
| 135 |
+
"rewards/consensus_reward_func": 0.3125,
|
| 136 |
"rewards/cumulative_reward_2": 0.0,
|
| 137 |
+
"rewards/final_correctness_reward_func": 1.0625,
|
| 138 |
+
"rewards/question_recreation_reward_func": 0.3787498604506254,
|
| 139 |
"rewards/soft_format_reward_func": 0.0,
|
| 140 |
+
"rewards/strict_format_reward_func": 0.046875,
|
| 141 |
+
"rewards/xmlcount_reward_func": 0.7012499868869781,
|
| 142 |
"step": 14
|
| 143 |
},
|
| 144 |
{
|
| 145 |
+
"completion_length": 210.17857142857142,
|
| 146 |
+
"epoch": 1.0677966101694916,
|
| 147 |
+
"grad_norm": 2.6126480102539062,
|
| 148 |
+
"kl": 0.34211112558841705,
|
| 149 |
"learning_rate": 5.271487265090163e-08,
|
| 150 |
+
"loss": 0.0003,
|
| 151 |
+
"reward": 2.1737994636808122,
|
| 152 |
+
"reward_std": 0.999560724411692,
|
| 153 |
+
"rewards/concensus_correctness_reward_func": 0.14014285802841187,
|
| 154 |
+
"rewards/consensus_reward_func": 0.21428571428571427,
|
| 155 |
"rewards/cumulative_reward_2": 0.0,
|
| 156 |
+
"rewards/final_correctness_reward_func": 0.5714285714285714,
|
| 157 |
+
"rewards/question_recreation_reward_func": 0.34758515522948336,
|
| 158 |
"rewards/soft_format_reward_func": 0.0,
|
| 159 |
+
"rewards/strict_format_reward_func": 0.017857142857142856,
|
| 160 |
+
"rewards/xmlcount_reward_func": 0.8825000013623919,
|
| 161 |
"step": 16
|
| 162 |
},
|
| 163 |
{
|
| 164 |
+
"completion_length": 490.6875,
|
| 165 |
+
"epoch": 1.2033898305084745,
|
| 166 |
+
"grad_norm": 1.6640560626983643,
|
| 167 |
+
"kl": 0.20682895462960005,
|
| 168 |
"learning_rate": 1.3545689574841341e-08,
|
| 169 |
"loss": 0.0002,
|
| 170 |
+
"reward": 2.524849906563759,
|
| 171 |
+
"reward_std": 2.5721453316509724,
|
| 172 |
+
"rewards/concensus_correctness_reward_func": 0.6849999986588955,
|
| 173 |
+
"rewards/consensus_reward_func": 0.3125,
|
| 174 |
"rewards/cumulative_reward_2": 0.0,
|
| 175 |
+
"rewards/final_correctness_reward_func": 0.8125,
|
| 176 |
+
"rewards/question_recreation_reward_func": 0.5558498464524746,
|
| 177 |
"rewards/soft_format_reward_func": 0.0,
|
| 178 |
+
"rewards/strict_format_reward_func": 0.0625,
|
| 179 |
+
"rewards/xmlcount_reward_func": 0.09649999439716339,
|
| 180 |
"step": 18
|
| 181 |
},
|
| 182 |
{
|
| 183 |
+
"completion_length": 479.46875,
|
| 184 |
+
"epoch": 1.3389830508474576,
|
| 185 |
+
"grad_norm": 2.2770586013793945,
|
| 186 |
+
"kl": 0.1806422220543027,
|
| 187 |
"learning_rate": 0.0,
|
| 188 |
"loss": 0.0002,
|
| 189 |
+
"reward": 4.977065123617649,
|
| 190 |
+
"reward_std": 4.180357031524181,
|
| 191 |
+
"rewards/concensus_correctness_reward_func": 3.1328125,
|
| 192 |
+
"rewards/consensus_reward_func": 0.375,
|
| 193 |
"rewards/cumulative_reward_2": 0.0,
|
| 194 |
+
"rewards/final_correctness_reward_func": 0.625,
|
| 195 |
+
"rewards/question_recreation_reward_func": 0.47609641402959824,
|
| 196 |
"rewards/soft_format_reward_func": 0.0,
|
| 197 |
+
"rewards/strict_format_reward_func": 0.015625,
|
| 198 |
+
"rewards/xmlcount_reward_func": 0.35253123939037323,
|
| 199 |
"step": 20
|
| 200 |
},
|
| 201 |
{
|
| 202 |
+
"epoch": 1.3389830508474576,
|
| 203 |
"step": 20,
|
| 204 |
"total_flos": 0.0,
|
| 205 |
+
"train_loss": 0.00022269619221333415,
|
| 206 |
+
"train_runtime": 773.4856,
|
| 207 |
+
"train_samples_per_second": 0.414,
|
| 208 |
+
"train_steps_per_second": 0.026
|
| 209 |
}
|
| 210 |
],
|
| 211 |
"logging_steps": 2,
|
| 212 |
"max_steps": 20,
|
| 213 |
"num_input_tokens_seen": 0,
|
| 214 |
+
"num_train_epochs": 2,
|
| 215 |
"save_steps": 25,
|
| 216 |
"stateful_callbacks": {
|
| 217 |
"TrainerControl": {
|