Upload folder using huggingface_hub
Browse files- model.safetensors +3 -0
- trainer_state.json +614 -0
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2ed10fd4d99df33fd3bc230d6d04f23bcfbe3283c2de9e96ff766e9ef7b7052c
|
| 3 |
+
size 29214685368
|
trainer_state.json
ADDED
|
@@ -0,0 +1,614 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.25749346208006435,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 20,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"clip_ratio/high_max": 0.0,
|
| 14 |
+
"clip_ratio/high_mean": 0.0,
|
| 15 |
+
"clip_ratio/low_mean": 0.0,
|
| 16 |
+
"clip_ratio/low_min": 0.0,
|
| 17 |
+
"clip_ratio/region_mean": 0.0,
|
| 18 |
+
"completions/clipped_ratio": 0.1611328125,
|
| 19 |
+
"completions/max_length": 10637.0,
|
| 20 |
+
"completions/mean_length": 1210.8232421875,
|
| 21 |
+
"completions/min_length": 21.0,
|
| 22 |
+
"depth_nums": 0.1611328125,
|
| 23 |
+
"entropy": 6.012878332287073,
|
| 24 |
+
"epoch": 0.012874673104003219,
|
| 25 |
+
"grad_norm": 20.75629234313965,
|
| 26 |
+
"learning_rate": 3e-06,
|
| 27 |
+
"loss": -0.0,
|
| 28 |
+
"num_tokens": 4379765.0,
|
| 29 |
+
"reward": 1.2593750953674316,
|
| 30 |
+
"reward_std": 0.6255239248275757,
|
| 31 |
+
"rewards/accuracy_reward_with_llm/mean": 0.556640625,
|
| 32 |
+
"rewards/accuracy_reward_with_llm/std": 0.4970242381095886,
|
| 33 |
+
"rewards/format_reward/mean": 0.7021484375,
|
| 34 |
+
"rewards/format_reward/std": 0.45753735303878784,
|
| 35 |
+
"rewards/visual_gain_reward/mean": 0.0005859375232830644,
|
| 36 |
+
"rewards/visual_gain_reward/std": 0.010814730077981949,
|
| 37 |
+
"segmentation_nums": 0.15234375,
|
| 38 |
+
"step": 1,
|
| 39 |
+
"total_gen_nums": 0.3134765625
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"clip_ratio/high_max": 0.0,
|
| 43 |
+
"clip_ratio/high_mean": 0.0,
|
| 44 |
+
"clip_ratio/low_mean": 0.0,
|
| 45 |
+
"clip_ratio/low_min": 0.0,
|
| 46 |
+
"clip_ratio/region_mean": 0.0,
|
| 47 |
+
"completions/clipped_ratio": 0.1845703125,
|
| 48 |
+
"completions/max_length": 11014.0,
|
| 49 |
+
"completions/mean_length": 1261.671875,
|
| 50 |
+
"completions/min_length": 18.0,
|
| 51 |
+
"depth_nums": 0.1767578125,
|
| 52 |
+
"entropy": 5.868425816297531,
|
| 53 |
+
"epoch": 0.025749346208006438,
|
| 54 |
+
"grad_norm": 28.14173126220703,
|
| 55 |
+
"learning_rate": 2.9987834972573546e-06,
|
| 56 |
+
"loss": 0.0001,
|
| 57 |
+
"num_tokens": 8647497.0,
|
| 58 |
+
"reward": 1.1925780773162842,
|
| 59 |
+
"reward_std": 0.6145570278167725,
|
| 60 |
+
"rewards/accuracy_reward_with_llm/mean": 0.5205078125,
|
| 61 |
+
"rewards/accuracy_reward_with_llm/std": 0.49982336163520813,
|
| 62 |
+
"rewards/format_reward/mean": 0.671875,
|
| 63 |
+
"rewards/format_reward/std": 0.4697600305080414,
|
| 64 |
+
"rewards/visual_gain_reward/mean": 0.00019531250291038305,
|
| 65 |
+
"rewards/visual_gain_reward/std": 0.0062500000931322575,
|
| 66 |
+
"segmentation_nums": 0.142578125,
|
| 67 |
+
"step": 2,
|
| 68 |
+
"total_gen_nums": 0.3193359375
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"clip_ratio/high_max": 0.0,
|
| 72 |
+
"clip_ratio/high_mean": 0.0,
|
| 73 |
+
"clip_ratio/low_mean": 0.0,
|
| 74 |
+
"clip_ratio/low_min": 0.0,
|
| 75 |
+
"clip_ratio/region_mean": 0.0,
|
| 76 |
+
"completions/clipped_ratio": 0.16796875,
|
| 77 |
+
"completions/max_length": 8707.0,
|
| 78 |
+
"completions/mean_length": 1188.65625,
|
| 79 |
+
"completions/min_length": 18.0,
|
| 80 |
+
"depth_nums": 0.2060546875,
|
| 81 |
+
"entropy": 5.8414958491921425,
|
| 82 |
+
"epoch": 0.03862401931200966,
|
| 83 |
+
"grad_norm": 33.402503967285156,
|
| 84 |
+
"learning_rate": 2.9951359622013153e-06,
|
| 85 |
+
"loss": 0.0,
|
| 86 |
+
"num_tokens": 12897429.0,
|
| 87 |
+
"reward": 1.220117211341858,
|
| 88 |
+
"reward_std": 0.6342688798904419,
|
| 89 |
+
"rewards/accuracy_reward_with_llm/mean": 0.5419921875,
|
| 90 |
+
"rewards/accuracy_reward_with_llm/std": 0.4984769821166992,
|
| 91 |
+
"rewards/format_reward/mean": 0.677734375,
|
| 92 |
+
"rewards/format_reward/std": 0.4675724506378174,
|
| 93 |
+
"rewards/visual_gain_reward/mean": 0.0003906250058207661,
|
| 94 |
+
"rewards/visual_gain_reward/std": 0.008834514766931534,
|
| 95 |
+
"segmentation_nums": 0.119140625,
|
| 96 |
+
"step": 3,
|
| 97 |
+
"total_gen_nums": 0.3251953125
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"clip_ratio/high_max": 0.0,
|
| 101 |
+
"clip_ratio/high_mean": 0.0,
|
| 102 |
+
"clip_ratio/low_mean": 0.0,
|
| 103 |
+
"clip_ratio/low_min": 0.0,
|
| 104 |
+
"clip_ratio/region_mean": 0.0,
|
| 105 |
+
"completions/clipped_ratio": 0.1435546875,
|
| 106 |
+
"completions/max_length": 8885.0,
|
| 107 |
+
"completions/mean_length": 1253.751953125,
|
| 108 |
+
"completions/min_length": 24.0,
|
| 109 |
+
"depth_nums": 0.21484375,
|
| 110 |
+
"entropy": 5.834823831915855,
|
| 111 |
+
"epoch": 0.051498692416012876,
|
| 112 |
+
"grad_norm": 13.457406997680664,
|
| 113 |
+
"learning_rate": 2.989063311147081e-06,
|
| 114 |
+
"loss": -0.0,
|
| 115 |
+
"num_tokens": 17253257.0,
|
| 116 |
+
"reward": 1.2726562023162842,
|
| 117 |
+
"reward_std": 0.6112420558929443,
|
| 118 |
+
"rewards/accuracy_reward_with_llm/mean": 0.5498046875,
|
| 119 |
+
"rewards/accuracy_reward_with_llm/std": 0.4977564215660095,
|
| 120 |
+
"rewards/format_reward/mean": 0.72265625,
|
| 121 |
+
"rewards/format_reward/std": 0.44790637493133545,
|
| 122 |
+
"rewards/visual_gain_reward/mean": 0.00019531250291038305,
|
| 123 |
+
"rewards/visual_gain_reward/std": 0.0062500000931322575,
|
| 124 |
+
"segmentation_nums": 0.1337890625,
|
| 125 |
+
"step": 4,
|
| 126 |
+
"total_gen_nums": 0.3486328125
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"clip_ratio/high_max": 0.0,
|
| 130 |
+
"clip_ratio/high_mean": 0.0,
|
| 131 |
+
"clip_ratio/low_mean": 0.0,
|
| 132 |
+
"clip_ratio/low_min": 0.0,
|
| 133 |
+
"clip_ratio/region_mean": 0.0,
|
| 134 |
+
"completions/clipped_ratio": 0.140625,
|
| 135 |
+
"completions/max_length": 8690.0,
|
| 136 |
+
"completions/mean_length": 1261.009765625,
|
| 137 |
+
"completions/min_length": 16.0,
|
| 138 |
+
"depth_nums": 0.2158203125,
|
| 139 |
+
"entropy": 5.8213246911764145,
|
| 140 |
+
"epoch": 0.06437336552001609,
|
| 141 |
+
"grad_norm": 12.64630126953125,
|
| 142 |
+
"learning_rate": 2.9805753939568693e-06,
|
| 143 |
+
"loss": 0.0001,
|
| 144 |
+
"num_tokens": 21637837.0,
|
| 145 |
+
"reward": 1.2509765625,
|
| 146 |
+
"reward_std": 0.6066232323646545,
|
| 147 |
+
"rewards/accuracy_reward_with_llm/mean": 0.51953125,
|
| 148 |
+
"rewards/accuracy_reward_with_llm/std": 0.49986252188682556,
|
| 149 |
+
"rewards/format_reward/mean": 0.7314453125,
|
| 150 |
+
"rewards/format_reward/std": 0.4434242844581604,
|
| 151 |
+
"rewards/visual_gain_reward/mean": 0.0,
|
| 152 |
+
"rewards/visual_gain_reward/std": 0.0,
|
| 153 |
+
"segmentation_nums": 0.1279296875,
|
| 154 |
+
"step": 5,
|
| 155 |
+
"total_gen_nums": 0.34375
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"clip_ratio/high_max": 0.0,
|
| 159 |
+
"clip_ratio/high_mean": 0.0,
|
| 160 |
+
"clip_ratio/low_mean": 0.0,
|
| 161 |
+
"clip_ratio/low_min": 0.0,
|
| 162 |
+
"clip_ratio/region_mean": 0.0,
|
| 163 |
+
"completions/clipped_ratio": 0.1494140625,
|
| 164 |
+
"completions/max_length": 8820.0,
|
| 165 |
+
"completions/mean_length": 1227.6279296875,
|
| 166 |
+
"completions/min_length": 20.0,
|
| 167 |
+
"depth_nums": 0.1904296875,
|
| 168 |
+
"entropy": 5.848804991692305,
|
| 169 |
+
"epoch": 0.07724803862401931,
|
| 170 |
+
"grad_norm": 10.392542839050293,
|
| 171 |
+
"learning_rate": 2.9696859780634016e-06,
|
| 172 |
+
"loss": 0.0,
|
| 173 |
+
"num_tokens": 25954420.0,
|
| 174 |
+
"reward": 1.3287110328674316,
|
| 175 |
+
"reward_std": 0.5927157998085022,
|
| 176 |
+
"rewards/accuracy_reward_with_llm/mean": 0.5888671875,
|
| 177 |
+
"rewards/accuracy_reward_with_llm/std": 0.49227967858314514,
|
| 178 |
+
"rewards/format_reward/mean": 0.7392578125,
|
| 179 |
+
"rewards/format_reward/std": 0.4392540454864502,
|
| 180 |
+
"rewards/visual_gain_reward/mean": 0.0005859375232830644,
|
| 181 |
+
"rewards/visual_gain_reward/std": 0.010814730077981949,
|
| 182 |
+
"segmentation_nums": 0.1474609375,
|
| 183 |
+
"step": 6,
|
| 184 |
+
"total_gen_nums": 0.337890625
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"clip_ratio/high_max": 0.0,
|
| 188 |
+
"clip_ratio/high_mean": 0.0,
|
| 189 |
+
"clip_ratio/low_mean": 0.0,
|
| 190 |
+
"clip_ratio/low_min": 0.0,
|
| 191 |
+
"clip_ratio/region_mean": 0.0,
|
| 192 |
+
"completions/clipped_ratio": 0.076171875,
|
| 193 |
+
"completions/max_length": 8984.0,
|
| 194 |
+
"completions/mean_length": 1092.6708984375,
|
| 195 |
+
"completions/min_length": 22.0,
|
| 196 |
+
"depth_nums": 0.162109375,
|
| 197 |
+
"entropy": 5.889556594192982,
|
| 198 |
+
"epoch": 0.09012271172802253,
|
| 199 |
+
"grad_norm": 62.187469482421875,
|
| 200 |
+
"learning_rate": 2.956412726139078e-06,
|
| 201 |
+
"loss": 0.0,
|
| 202 |
+
"num_tokens": 30148439.0,
|
| 203 |
+
"reward": 1.4267578125,
|
| 204 |
+
"reward_std": 0.5138623118400574,
|
| 205 |
+
"rewards/accuracy_reward_with_llm/mean": 0.5888671875,
|
| 206 |
+
"rewards/accuracy_reward_with_llm/std": 0.49227967858314514,
|
| 207 |
+
"rewards/format_reward/mean": 0.837890625,
|
| 208 |
+
"rewards/format_reward/std": 0.36873120069503784,
|
| 209 |
+
"rewards/visual_gain_reward/mean": 0.0,
|
| 210 |
+
"rewards/visual_gain_reward/std": 0.0,
|
| 211 |
+
"segmentation_nums": 0.146484375,
|
| 212 |
+
"step": 7,
|
| 213 |
+
"total_gen_nums": 0.30859375
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"clip_ratio/high_max": 0.0,
|
| 217 |
+
"clip_ratio/high_mean": 0.0,
|
| 218 |
+
"clip_ratio/low_mean": 0.0,
|
| 219 |
+
"clip_ratio/low_min": 0.0,
|
| 220 |
+
"clip_ratio/region_mean": 0.0,
|
| 221 |
+
"completions/clipped_ratio": 0.09375,
|
| 222 |
+
"completions/max_length": 9044.0,
|
| 223 |
+
"completions/mean_length": 1225.798828125,
|
| 224 |
+
"completions/min_length": 26.0,
|
| 225 |
+
"depth_nums": 0.21875,
|
| 226 |
+
"entropy": 5.749105926603079,
|
| 227 |
+
"epoch": 0.10299738483202575,
|
| 228 |
+
"grad_norm": 4.391378402709961,
|
| 229 |
+
"learning_rate": 2.9407771674470586e-06,
|
| 230 |
+
"loss": 0.0,
|
| 231 |
+
"num_tokens": 34471603.0,
|
| 232 |
+
"reward": 1.3777344226837158,
|
| 233 |
+
"reward_std": 0.5527065992355347,
|
| 234 |
+
"rewards/accuracy_reward_with_llm/mean": 0.568359375,
|
| 235 |
+
"rewards/accuracy_reward_with_llm/std": 0.49554696679115295,
|
| 236 |
+
"rewards/format_reward/mean": 0.80859375,
|
| 237 |
+
"rewards/format_reward/std": 0.3936002850532532,
|
| 238 |
+
"rewards/visual_gain_reward/mean": 0.0007812500116415322,
|
| 239 |
+
"rewards/visual_gain_reward/std": 0.012481658719480038,
|
| 240 |
+
"segmentation_nums": 0.1279296875,
|
| 241 |
+
"step": 8,
|
| 242 |
+
"total_gen_nums": 0.3466796875
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"clip_ratio/high_max": 0.0,
|
| 246 |
+
"clip_ratio/high_mean": 0.0,
|
| 247 |
+
"clip_ratio/low_mean": 0.0,
|
| 248 |
+
"clip_ratio/low_min": 0.0,
|
| 249 |
+
"clip_ratio/region_mean": 0.0,
|
| 250 |
+
"completions/clipped_ratio": 0.080078125,
|
| 251 |
+
"completions/max_length": 8989.0,
|
| 252 |
+
"completions/mean_length": 1115.748046875,
|
| 253 |
+
"completions/min_length": 9.0,
|
| 254 |
+
"depth_nums": 0.185546875,
|
| 255 |
+
"entropy": 5.770555350929499,
|
| 256 |
+
"epoch": 0.11587205793602896,
|
| 257 |
+
"grad_norm": 5.756628036499023,
|
| 258 |
+
"learning_rate": 2.922804662920718e-06,
|
| 259 |
+
"loss": -0.0001,
|
| 260 |
+
"num_tokens": 38669155.0,
|
| 261 |
+
"reward": 1.4249999523162842,
|
| 262 |
+
"reward_std": 0.5238240361213684,
|
| 263 |
+
"rewards/accuracy_reward_with_llm/mean": 0.5947265625,
|
| 264 |
+
"rewards/accuracy_reward_with_llm/std": 0.4911847710609436,
|
| 265 |
+
"rewards/format_reward/mean": 0.830078125,
|
| 266 |
+
"rewards/format_reward/std": 0.3757476806640625,
|
| 267 |
+
"rewards/visual_gain_reward/mean": 0.00019531250291038305,
|
| 268 |
+
"rewards/visual_gain_reward/std": 0.006250000558793545,
|
| 269 |
+
"segmentation_nums": 0.134765625,
|
| 270 |
+
"step": 9,
|
| 271 |
+
"total_gen_nums": 0.3203125
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"clip_ratio/high_max": 0.0,
|
| 275 |
+
"clip_ratio/high_mean": 0.0,
|
| 276 |
+
"clip_ratio/low_mean": 0.0,
|
| 277 |
+
"clip_ratio/low_min": 0.0,
|
| 278 |
+
"clip_ratio/region_mean": 0.0,
|
| 279 |
+
"completions/clipped_ratio": 0.0810546875,
|
| 280 |
+
"completions/max_length": 8784.0,
|
| 281 |
+
"completions/mean_length": 1067.3955078125,
|
| 282 |
+
"completions/min_length": 20.0,
|
| 283 |
+
"depth_nums": 0.19921875,
|
| 284 |
+
"entropy": 5.8339343555271626,
|
| 285 |
+
"epoch": 0.12874673104003218,
|
| 286 |
+
"grad_norm": 3.002086877822876,
|
| 287 |
+
"learning_rate": 2.9025243640281224e-06,
|
| 288 |
+
"loss": -0.0,
|
| 289 |
+
"num_tokens": 42779380.0,
|
| 290 |
+
"reward": 1.4367187023162842,
|
| 291 |
+
"reward_std": 0.4874913692474365,
|
| 292 |
+
"rewards/accuracy_reward_with_llm/mean": 0.5869140625,
|
| 293 |
+
"rewards/accuracy_reward_with_llm/std": 0.4926286041736603,
|
| 294 |
+
"rewards/format_reward/mean": 0.849609375,
|
| 295 |
+
"rewards/format_reward/std": 0.35762855410575867,
|
| 296 |
+
"rewards/visual_gain_reward/mean": 0.00019531250291038305,
|
| 297 |
+
"rewards/visual_gain_reward/std": 0.0062500000931322575,
|
| 298 |
+
"segmentation_nums": 0.109375,
|
| 299 |
+
"step": 10,
|
| 300 |
+
"total_gen_nums": 0.30859375
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"clip_ratio/high_max": 0.0,
|
| 304 |
+
"clip_ratio/high_mean": 0.0,
|
| 305 |
+
"clip_ratio/low_mean": 0.0,
|
| 306 |
+
"clip_ratio/low_min": 0.0,
|
| 307 |
+
"clip_ratio/region_mean": 0.0,
|
| 308 |
+
"completions/clipped_ratio": 0.0888671875,
|
| 309 |
+
"completions/max_length": 5823.0,
|
| 310 |
+
"completions/mean_length": 1022.0263671875,
|
| 311 |
+
"completions/min_length": 3.0,
|
| 312 |
+
"depth_nums": 0.169921875,
|
| 313 |
+
"entropy": 5.852696340531111,
|
| 314 |
+
"epoch": 0.1416214041440354,
|
| 315 |
+
"grad_norm": 2.620856523513794,
|
| 316 |
+
"learning_rate": 2.8799691654882364e-06,
|
| 317 |
+
"loss": -0.0001,
|
| 318 |
+
"num_tokens": 46905439.0,
|
| 319 |
+
"reward": 1.451562523841858,
|
| 320 |
+
"reward_std": 0.5207765102386475,
|
| 321 |
+
"rewards/accuracy_reward_with_llm/mean": 0.611328125,
|
| 322 |
+
"rewards/accuracy_reward_with_llm/std": 0.4876866936683655,
|
| 323 |
+
"rewards/format_reward/mean": 0.83984375,
|
| 324 |
+
"rewards/format_reward/std": 0.36693012714385986,
|
| 325 |
+
"rewards/visual_gain_reward/mean": 0.0003906250058207661,
|
| 326 |
+
"rewards/visual_gain_reward/std": 0.008834514766931534,
|
| 327 |
+
"segmentation_nums": 0.1298828125,
|
| 328 |
+
"step": 11,
|
| 329 |
+
"total_gen_nums": 0.2998046875
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"clip_ratio/high_max": 0.0,
|
| 333 |
+
"clip_ratio/high_mean": 0.0,
|
| 334 |
+
"clip_ratio/low_mean": 0.0,
|
| 335 |
+
"clip_ratio/low_min": 0.0,
|
| 336 |
+
"clip_ratio/region_mean": 0.0,
|
| 337 |
+
"completions/clipped_ratio": 0.0556640625,
|
| 338 |
+
"completions/max_length": 9018.0,
|
| 339 |
+
"completions/mean_length": 1051.802734375,
|
| 340 |
+
"completions/min_length": 33.0,
|
| 341 |
+
"depth_nums": 0.18359375,
|
| 342 |
+
"entropy": 5.979498442262411,
|
| 343 |
+
"epoch": 0.15449607724803863,
|
| 344 |
+
"grad_norm": 4.12182092666626,
|
| 345 |
+
"learning_rate": 2.8551756519155732e-06,
|
| 346 |
+
"loss": 0.0,
|
| 347 |
+
"num_tokens": 51027613.0,
|
| 348 |
+
"reward": 1.531640648841858,
|
| 349 |
+
"reward_std": 0.4414806663990021,
|
| 350 |
+
"rewards/accuracy_reward_with_llm/mean": 0.6396484375,
|
| 351 |
+
"rewards/accuracy_reward_with_llm/std": 0.480336993932724,
|
| 352 |
+
"rewards/format_reward/mean": 0.8916015625,
|
| 353 |
+
"rewards/format_reward/std": 0.3110348582267761,
|
| 354 |
+
"rewards/visual_gain_reward/mean": 0.0003906250058207661,
|
| 355 |
+
"rewards/visual_gain_reward/std": 0.008834514766931534,
|
| 356 |
+
"segmentation_nums": 0.1142578125,
|
| 357 |
+
"step": 12,
|
| 358 |
+
"total_gen_nums": 0.2978515625
|
| 359 |
+
},
|
| 360 |
+
{
|
| 361 |
+
"clip_ratio/high_max": 0.0,
|
| 362 |
+
"clip_ratio/high_mean": 0.0,
|
| 363 |
+
"clip_ratio/low_mean": 0.0,
|
| 364 |
+
"clip_ratio/low_min": 0.0,
|
| 365 |
+
"clip_ratio/region_mean": 0.0,
|
| 366 |
+
"completions/clipped_ratio": 0.0302734375,
|
| 367 |
+
"completions/max_length": 6003.0,
|
| 368 |
+
"completions/mean_length": 804.115234375,
|
| 369 |
+
"completions/min_length": 30.0,
|
| 370 |
+
"depth_nums": 0.140625,
|
| 371 |
+
"entropy": 6.25120921805501,
|
| 372 |
+
"epoch": 0.16737075035204185,
|
| 373 |
+
"grad_norm": 3.7815661430358887,
|
| 374 |
+
"learning_rate": 2.8281840384798147e-06,
|
| 375 |
+
"loss": -0.0,
|
| 376 |
+
"num_tokens": 54883153.0,
|
| 377 |
+
"reward": 1.576562523841858,
|
| 378 |
+
"reward_std": 0.410561740398407,
|
| 379 |
+
"rewards/accuracy_reward_with_llm/mean": 0.6474609375,
|
| 380 |
+
"rewards/accuracy_reward_with_llm/std": 0.4779941439628601,
|
| 381 |
+
"rewards/format_reward/mean": 0.9287109375,
|
| 382 |
+
"rewards/format_reward/std": 0.2574327886104584,
|
| 383 |
+
"rewards/visual_gain_reward/mean": 0.0003906250058207661,
|
| 384 |
+
"rewards/visual_gain_reward/std": 0.008834514766931534,
|
| 385 |
+
"segmentation_nums": 0.05859375,
|
| 386 |
+
"step": 13,
|
| 387 |
+
"total_gen_nums": 0.19921875
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"clip_ratio/high_max": 0.0,
|
| 391 |
+
"clip_ratio/high_mean": 0.0,
|
| 392 |
+
"clip_ratio/low_mean": 0.0,
|
| 393 |
+
"clip_ratio/low_min": 0.0,
|
| 394 |
+
"clip_ratio/region_mean": 0.0,
|
| 395 |
+
"completions/clipped_ratio": 0.0400390625,
|
| 396 |
+
"completions/max_length": 8630.0,
|
| 397 |
+
"completions/mean_length": 996.5263671875,
|
| 398 |
+
"completions/min_length": 41.0,
|
| 399 |
+
"depth_nums": 0.1728515625,
|
| 400 |
+
"entropy": 6.108686868101358,
|
| 401 |
+
"epoch": 0.18024542345604505,
|
| 402 |
+
"grad_norm": 6.139822483062744,
|
| 403 |
+
"learning_rate": 2.7990381056766585e-06,
|
| 404 |
+
"loss": 0.0,
|
| 405 |
+
"num_tokens": 58956744.0,
|
| 406 |
+
"reward": 1.508398413658142,
|
| 407 |
+
"reward_std": 0.45154306292533875,
|
| 408 |
+
"rewards/accuracy_reward_with_llm/mean": 0.6005859375,
|
| 409 |
+
"rewards/accuracy_reward_with_llm/std": 0.490017294883728,
|
| 410 |
+
"rewards/format_reward/mean": 0.9072265625,
|
| 411 |
+
"rewards/format_reward/std": 0.29025644063949585,
|
| 412 |
+
"rewards/visual_gain_reward/mean": 0.0005859375232830644,
|
| 413 |
+
"rewards/visual_gain_reward/std": 0.010814730077981949,
|
| 414 |
+
"segmentation_nums": 0.0927734375,
|
| 415 |
+
"step": 14,
|
| 416 |
+
"total_gen_nums": 0.265625
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"clip_ratio/high_max": 0.0,
|
| 420 |
+
"clip_ratio/high_mean": 0.0,
|
| 421 |
+
"clip_ratio/low_mean": 0.0,
|
| 422 |
+
"clip_ratio/low_min": 0.0,
|
| 423 |
+
"clip_ratio/region_mean": 0.0,
|
| 424 |
+
"completions/clipped_ratio": 0.029296875,
|
| 425 |
+
"completions/max_length": 8819.0,
|
| 426 |
+
"completions/mean_length": 1031.1953125,
|
| 427 |
+
"completions/min_length": 29.0,
|
| 428 |
+
"depth_nums": 0.1884765625,
|
| 429 |
+
"entropy": 6.060374926775694,
|
| 430 |
+
"epoch": 0.19312009656004828,
|
| 431 |
+
"grad_norm": 7.209692001342773,
|
| 432 |
+
"learning_rate": 2.7677851283156924e-06,
|
| 433 |
+
"loss": -0.0,
|
| 434 |
+
"num_tokens": 63076588.0,
|
| 435 |
+
"reward": 1.534570336341858,
|
| 436 |
+
"reward_std": 0.45015260577201843,
|
| 437 |
+
"rewards/accuracy_reward_with_llm/mean": 0.6083984375,
|
| 438 |
+
"rewards/accuracy_reward_with_llm/std": 0.4883468747138977,
|
| 439 |
+
"rewards/format_reward/mean": 0.92578125,
|
| 440 |
+
"rewards/format_reward/std": 0.26225462555885315,
|
| 441 |
+
"rewards/visual_gain_reward/mean": 0.0003906250058207661,
|
| 442 |
+
"rewards/visual_gain_reward/std": 0.008834514766931534,
|
| 443 |
+
"segmentation_nums": 0.08203125,
|
| 444 |
+
"step": 15,
|
| 445 |
+
"total_gen_nums": 0.2705078125
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"clip_ratio/high_max": 0.0,
|
| 449 |
+
"clip_ratio/high_mean": 0.0,
|
| 450 |
+
"clip_ratio/low_mean": 0.0,
|
| 451 |
+
"clip_ratio/low_min": 0.0,
|
| 452 |
+
"clip_ratio/region_mean": 0.0,
|
| 453 |
+
"completions/clipped_ratio": 0.0380859375,
|
| 454 |
+
"completions/max_length": 8755.0,
|
| 455 |
+
"completions/mean_length": 924.4208984375,
|
| 456 |
+
"completions/min_length": 36.0,
|
| 457 |
+
"depth_nums": 0.1435546875,
|
| 458 |
+
"entropy": 6.233527477830648,
|
| 459 |
+
"epoch": 0.2059947696640515,
|
| 460 |
+
"grad_norm": 4.891477108001709,
|
| 461 |
+
"learning_rate": 2.7344757988404844e-06,
|
| 462 |
+
"loss": 0.0,
|
| 463 |
+
"num_tokens": 67082447.0,
|
| 464 |
+
"reward": 1.54296875,
|
| 465 |
+
"reward_std": 0.4315545856952667,
|
| 466 |
+
"rewards/accuracy_reward_with_llm/mean": 0.62109375,
|
| 467 |
+
"rewards/accuracy_reward_with_llm/std": 0.4853517711162567,
|
| 468 |
+
"rewards/format_reward/mean": 0.921875,
|
| 469 |
+
"rewards/format_reward/std": 0.26849931478500366,
|
| 470 |
+
"rewards/visual_gain_reward/mean": 0.0,
|
| 471 |
+
"rewards/visual_gain_reward/std": 0.0,
|
| 472 |
+
"segmentation_nums": 0.0732421875,
|
| 473 |
+
"step": 16,
|
| 474 |
+
"total_gen_nums": 0.216796875
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"clip_ratio/high_max": 0.0,
|
| 478 |
+
"clip_ratio/high_mean": 0.0,
|
| 479 |
+
"clip_ratio/low_mean": 0.0,
|
| 480 |
+
"clip_ratio/low_min": 0.0,
|
| 481 |
+
"clip_ratio/region_mean": 0.0,
|
| 482 |
+
"completions/clipped_ratio": 0.0380859375,
|
| 483 |
+
"completions/max_length": 6920.0,
|
| 484 |
+
"completions/mean_length": 941.1455078125,
|
| 485 |
+
"completions/min_length": 9.0,
|
| 486 |
+
"depth_nums": 0.1611328125,
|
| 487 |
+
"entropy": 6.030625708401203,
|
| 488 |
+
"epoch": 0.21886944276805473,
|
| 489 |
+
"grad_norm": 2.913377285003662,
|
| 490 |
+
"learning_rate": 2.699164145105252e-06,
|
| 491 |
+
"loss": -0.0,
|
| 492 |
+
"num_tokens": 71067000.0,
|
| 493 |
+
"reward": 1.5294921398162842,
|
| 494 |
+
"reward_std": 0.3852996826171875,
|
| 495 |
+
"rewards/accuracy_reward_with_llm/mean": 0.6005859375,
|
| 496 |
+
"rewards/accuracy_reward_with_llm/std": 0.490017294883728,
|
| 497 |
+
"rewards/format_reward/mean": 0.9287109375,
|
| 498 |
+
"rewards/format_reward/std": 0.2574327886104584,
|
| 499 |
+
"rewards/visual_gain_reward/mean": 0.00019531250291038305,
|
| 500 |
+
"rewards/visual_gain_reward/std": 0.006250000558793545,
|
| 501 |
+
"segmentation_nums": 0.0751953125,
|
| 502 |
+
"step": 17,
|
| 503 |
+
"total_gen_nums": 0.236328125
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"clip_ratio/high_max": 0.0,
|
| 507 |
+
"clip_ratio/high_mean": 0.0,
|
| 508 |
+
"clip_ratio/low_mean": 0.0,
|
| 509 |
+
"clip_ratio/low_min": 0.0,
|
| 510 |
+
"clip_ratio/region_mean": 0.0,
|
| 511 |
+
"completions/clipped_ratio": 0.0302734375,
|
| 512 |
+
"completions/max_length": 8720.0,
|
| 513 |
+
"completions/mean_length": 976.4716796875,
|
| 514 |
+
"completions/min_length": 48.0,
|
| 515 |
+
"depth_nums": 0.1728515625,
|
| 516 |
+
"entropy": 6.0241236835718155,
|
| 517 |
+
"epoch": 0.23174411587205793,
|
| 518 |
+
"grad_norm": 1.8226603269577026,
|
| 519 |
+
"learning_rate": 2.6619074427414816e-06,
|
| 520 |
+
"loss": -0.0,
|
| 521 |
+
"num_tokens": 75093701.0,
|
| 522 |
+
"reward": 1.563867211341858,
|
| 523 |
+
"reward_std": 0.3692563772201538,
|
| 524 |
+
"rewards/accuracy_reward_with_llm/mean": 0.6259765625,
|
| 525 |
+
"rewards/accuracy_reward_with_llm/std": 0.4841061532497406,
|
| 526 |
+
"rewards/format_reward/mean": 0.9375,
|
| 527 |
+
"rewards/format_reward/std": 0.242179736495018,
|
| 528 |
+
"rewards/visual_gain_reward/mean": 0.0003906250058207661,
|
| 529 |
+
"rewards/visual_gain_reward/std": 0.008834514766931534,
|
| 530 |
+
"segmentation_nums": 0.08203125,
|
| 531 |
+
"step": 18,
|
| 532 |
+
"total_gen_nums": 0.2548828125
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"clip_ratio/high_max": 0.0,
|
| 536 |
+
"clip_ratio/high_mean": 0.0,
|
| 537 |
+
"clip_ratio/low_mean": 0.0,
|
| 538 |
+
"clip_ratio/low_min": 0.0,
|
| 539 |
+
"clip_ratio/region_mean": 0.0,
|
| 540 |
+
"completions/clipped_ratio": 0.03125,
|
| 541 |
+
"completions/max_length": 9009.0,
|
| 542 |
+
"completions/mean_length": 965.1865234375,
|
| 543 |
+
"completions/min_length": 41.0,
|
| 544 |
+
"depth_nums": 0.1689453125,
|
| 545 |
+
"entropy": 6.073840655386448,
|
| 546 |
+
"epoch": 0.24461878897606115,
|
| 547 |
+
"grad_norm": 2.7203147411346436,
|
| 548 |
+
"learning_rate": 2.6227661222566517e-06,
|
| 549 |
+
"loss": 0.0,
|
| 550 |
+
"num_tokens": 79134800.0,
|
| 551 |
+
"reward": 1.5759766101837158,
|
| 552 |
+
"reward_std": 0.3747516870498657,
|
| 553 |
+
"rewards/accuracy_reward_with_llm/mean": 0.6435546875,
|
| 554 |
+
"rewards/accuracy_reward_with_llm/std": 0.4791829288005829,
|
| 555 |
+
"rewards/format_reward/mean": 0.931640625,
|
| 556 |
+
"rewards/format_reward/std": 0.25248491764068604,
|
| 557 |
+
"rewards/visual_gain_reward/mean": 0.0007812500116415322,
|
| 558 |
+
"rewards/visual_gain_reward/std": 0.012481658719480038,
|
| 559 |
+
"segmentation_nums": 0.0693359375,
|
| 560 |
+
"step": 19,
|
| 561 |
+
"total_gen_nums": 0.23828125
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"clip_ratio/high_max": 0.0,
|
| 565 |
+
"clip_ratio/high_mean": 0.0,
|
| 566 |
+
"clip_ratio/low_mean": 0.0,
|
| 567 |
+
"clip_ratio/low_min": 0.0,
|
| 568 |
+
"clip_ratio/region_mean": 0.0,
|
| 569 |
+
"completions/clipped_ratio": 0.0244140625,
|
| 570 |
+
"completions/max_length": 8861.0,
|
| 571 |
+
"completions/mean_length": 1025.93359375,
|
| 572 |
+
"completions/min_length": 42.0,
|
| 573 |
+
"depth_nums": 0.1904296875,
|
| 574 |
+
"entropy": 5.9863284938037395,
|
| 575 |
+
"epoch": 0.25749346208006435,
|
| 576 |
+
"grad_norm": 2.001307249069214,
|
| 577 |
+
"learning_rate": 2.581803671015722e-06,
|
| 578 |
+
"loss": 0.0001,
|
| 579 |
+
"num_tokens": 83173602.0,
|
| 580 |
+
"reward": 1.569726586341858,
|
| 581 |
+
"reward_std": 0.38102471828460693,
|
| 582 |
+
"rewards/accuracy_reward_with_llm/mean": 0.640625,
|
| 583 |
+
"rewards/accuracy_reward_with_llm/std": 0.480051726102829,
|
| 584 |
+
"rewards/format_reward/mean": 0.9287109375,
|
| 585 |
+
"rewards/format_reward/std": 0.2574327886104584,
|
| 586 |
+
"rewards/visual_gain_reward/mean": 0.0003906250058207661,
|
| 587 |
+
"rewards/visual_gain_reward/std": 0.008834514766931534,
|
| 588 |
+
"segmentation_nums": 0.0634765625,
|
| 589 |
+
"step": 20,
|
| 590 |
+
"total_gen_nums": 0.25390625
|
| 591 |
+
}
|
| 592 |
+
],
|
| 593 |
+
"logging_steps": 1.0,
|
| 594 |
+
"max_steps": 78,
|
| 595 |
+
"num_input_tokens_seen": 83173602,
|
| 596 |
+
"num_train_epochs": 1,
|
| 597 |
+
"save_steps": 10,
|
| 598 |
+
"stateful_callbacks": {
|
| 599 |
+
"TrainerControl": {
|
| 600 |
+
"args": {
|
| 601 |
+
"should_epoch_stop": false,
|
| 602 |
+
"should_evaluate": false,
|
| 603 |
+
"should_log": false,
|
| 604 |
+
"should_save": true,
|
| 605 |
+
"should_training_stop": false
|
| 606 |
+
},
|
| 607 |
+
"attributes": {}
|
| 608 |
+
}
|
| 609 |
+
},
|
| 610 |
+
"total_flos": 0.0,
|
| 611 |
+
"train_batch_size": 1,
|
| 612 |
+
"trial_name": null,
|
| 613 |
+
"trial_params": null
|
| 614 |
+
}
|