Upload folder using huggingface_hub
Browse files- model.safetensors +1 -1
- optimizer.pt +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +308 -52
- training_args.bin +2 -2
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1976163472
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:90b53e3bd441110af3468dcc115ce68ffb693b44039e909d83d07496efb0d65a
|
| 3 |
size 1976163472
|
optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3952509771
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3d8a8dea3f9a14bc24f1378c17cd6eafe82c9fe590b6d03205ad8bf8befe2181
|
| 3 |
size 3952509771
|
rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14581
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:226146a4f4582e8746c8d09d92bc39c0215488d8ce29ce2dc28d5cb9ba8bb35c
|
| 3 |
size 14581
|
scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1465
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:09ecd6d2a95eec387a7a8a4e2c2c7824ffd785e4eeeb2e4c69a237465107c4f2
|
| 3 |
size 1465
|
trainer_state.json
CHANGED
|
@@ -2,9 +2,9 @@
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
-
"epoch": 0.
|
| 6 |
"eval_steps": 500,
|
| 7 |
-
"global_step":
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
@@ -15,31 +15,223 @@
|
|
| 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.
|
| 19 |
-
"completions/max_length":
|
| 20 |
-
"completions/max_terminated_length":
|
| 21 |
-
"completions/mean_length":
|
| 22 |
-
"completions/mean_terminated_length":
|
| 23 |
-
"completions/min_length":
|
| 24 |
-
"completions/min_terminated_length":
|
| 25 |
-
"entropy": 0.
|
| 26 |
-
"epoch": 0.
|
| 27 |
-
"frac_reward_zero_std":
|
| 28 |
-
"grad_norm":
|
| 29 |
-
"learning_rate":
|
| 30 |
-
"loss":
|
| 31 |
-
"num_tokens":
|
| 32 |
-
"reward": 0.
|
| 33 |
-
"reward_std": 0.
|
| 34 |
-
"rewards/reward_helper/mean": 0.
|
| 35 |
-
"rewards/reward_helper/std": 0.
|
| 36 |
-
"sampling/importance_sampling_ratio/max": 1.
|
| 37 |
-
"sampling/importance_sampling_ratio/mean": 0.
|
| 38 |
-
"sampling/importance_sampling_ratio/min": 0.
|
| 39 |
-
"sampling/sampling_logp_difference/max": 0.
|
| 40 |
-
"sampling/sampling_logp_difference/mean": 0.
|
| 41 |
"step": 10,
|
| 42 |
-
"step_time":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 43 |
},
|
| 44 |
{
|
| 45 |
"clip_ratio/high_max": 0.0,
|
|
@@ -47,38 +239,102 @@
|
|
| 47 |
"clip_ratio/low_mean": 0.0,
|
| 48 |
"clip_ratio/low_min": 0.0,
|
| 49 |
"clip_ratio/region_mean": 0.0,
|
| 50 |
-
"completions/clipped_ratio": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 51 |
"completions/max_length": 256.0,
|
| 52 |
-
"completions/max_terminated_length":
|
| 53 |
-
"completions/mean_length":
|
| 54 |
-
"completions/mean_terminated_length":
|
| 55 |
-
"completions/min_length":
|
| 56 |
-
"completions/min_terminated_length":
|
| 57 |
-
"entropy":
|
| 58 |
-
"epoch": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 59 |
"frac_reward_zero_std": 0.1,
|
| 60 |
-
"grad_norm":
|
| 61 |
-
"learning_rate":
|
| 62 |
-
"loss": 0.
|
| 63 |
-
"num_tokens":
|
| 64 |
-
"reward": 0.
|
| 65 |
-
"reward_std": 0.
|
| 66 |
-
"rewards/reward_helper/mean": 0.
|
| 67 |
-
"rewards/reward_helper/std": 0.
|
| 68 |
-
"sampling/importance_sampling_ratio/max": 1.
|
| 69 |
-
"sampling/importance_sampling_ratio/mean": 1.
|
| 70 |
-
"sampling/importance_sampling_ratio/min": 0.
|
| 71 |
-
"sampling/sampling_logp_difference/max": 0.
|
| 72 |
-
"sampling/sampling_logp_difference/mean": 0.
|
| 73 |
-
"step":
|
| 74 |
-
"step_time":
|
| 75 |
}
|
| 76 |
],
|
| 77 |
"logging_steps": 10,
|
| 78 |
-
"max_steps":
|
| 79 |
-
"num_input_tokens_seen":
|
| 80 |
"num_train_epochs": 1,
|
| 81 |
-
"save_steps":
|
| 82 |
"stateful_callbacks": {
|
| 83 |
"TrainerControl": {
|
| 84 |
"args": {
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.25,
|
| 6 |
"eval_steps": 500,
|
| 7 |
+
"global_step": 100,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 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": 0.0,
|
| 19 |
+
"completions/max_length": 1.6,
|
| 20 |
+
"completions/max_terminated_length": 1.6,
|
| 21 |
+
"completions/mean_length": 1.15,
|
| 22 |
+
"completions/mean_terminated_length": 1.15,
|
| 23 |
+
"completions/min_length": 1.0,
|
| 24 |
+
"completions/min_terminated_length": 1.0,
|
| 25 |
+
"entropy": 0.44410082772374154,
|
| 26 |
+
"epoch": 0.025,
|
| 27 |
+
"frac_reward_zero_std": 1.0,
|
| 28 |
+
"grad_norm": 0.0,
|
| 29 |
+
"learning_rate": 9.1e-07,
|
| 30 |
+
"loss": 0.0,
|
| 31 |
+
"num_tokens": 3586.0,
|
| 32 |
+
"reward": 0.0,
|
| 33 |
+
"reward_std": 0.0,
|
| 34 |
+
"rewards/reward_helper/mean": 0.0,
|
| 35 |
+
"rewards/reward_helper/std": 0.0,
|
| 36 |
+
"sampling/importance_sampling_ratio/max": 1.0006482005119324,
|
| 37 |
+
"sampling/importance_sampling_ratio/mean": 0.9993368148803711,
|
| 38 |
+
"sampling/importance_sampling_ratio/min": 0.9954026460647583,
|
| 39 |
+
"sampling/sampling_logp_difference/max": 0.00986330844461918,
|
| 40 |
+
"sampling/sampling_logp_difference/mean": 0.004519483260810375,
|
| 41 |
"step": 10,
|
| 42 |
+
"step_time": 5.278360854899991
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"clip_ratio/high_max": 0.0,
|
| 46 |
+
"clip_ratio/high_mean": 0.0,
|
| 47 |
+
"clip_ratio/low_mean": 0.0,
|
| 48 |
+
"clip_ratio/low_min": 0.0,
|
| 49 |
+
"clip_ratio/region_mean": 0.0,
|
| 50 |
+
"completions/clipped_ratio": 0.075,
|
| 51 |
+
"completions/max_length": 52.0,
|
| 52 |
+
"completions/max_terminated_length": 1.0,
|
| 53 |
+
"completions/mean_length": 20.125,
|
| 54 |
+
"completions/mean_terminated_length": 1.0,
|
| 55 |
+
"completions/min_length": 1.0,
|
| 56 |
+
"completions/min_terminated_length": 1.0,
|
| 57 |
+
"entropy": 0.5618356347084046,
|
| 58 |
+
"epoch": 0.05,
|
| 59 |
+
"frac_reward_zero_std": 0.8,
|
| 60 |
+
"grad_norm": 0.0,
|
| 61 |
+
"learning_rate": 8.1e-07,
|
| 62 |
+
"loss": -0.0875,
|
| 63 |
+
"num_tokens": 8279.0,
|
| 64 |
+
"reward": 0.015000000596046448,
|
| 65 |
+
"reward_std": 0.030000001192092896,
|
| 66 |
+
"rewards/reward_helper/mean": 0.015000000596046448,
|
| 67 |
+
"rewards/reward_helper/std": 0.030000004172325134,
|
| 68 |
+
"sampling/importance_sampling_ratio/max": 1.0033257365226746,
|
| 69 |
+
"sampling/importance_sampling_ratio/mean": 0.9744328677654266,
|
| 70 |
+
"sampling/importance_sampling_ratio/min": 0.8951155811548233,
|
| 71 |
+
"sampling/sampling_logp_difference/max": 0.039345417730510236,
|
| 72 |
+
"sampling/sampling_logp_difference/mean": 0.004816015157848597,
|
| 73 |
+
"step": 20,
|
| 74 |
+
"step_time": 1.230997591900001
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"clip_ratio/high_max": 0.0,
|
| 78 |
+
"clip_ratio/high_mean": 0.0,
|
| 79 |
+
"clip_ratio/low_mean": 0.0,
|
| 80 |
+
"clip_ratio/low_min": 0.0,
|
| 81 |
+
"clip_ratio/region_mean": 0.0,
|
| 82 |
+
"completions/clipped_ratio": 0.025,
|
| 83 |
+
"completions/max_length": 46.5,
|
| 84 |
+
"completions/max_terminated_length": 21.0,
|
| 85 |
+
"completions/mean_length": 12.525,
|
| 86 |
+
"completions/mean_terminated_length": 6.15,
|
| 87 |
+
"completions/min_length": 1.0,
|
| 88 |
+
"completions/min_terminated_length": 1.0,
|
| 89 |
+
"entropy": 0.5129512194544077,
|
| 90 |
+
"epoch": 0.075,
|
| 91 |
+
"frac_reward_zero_std": 0.9,
|
| 92 |
+
"grad_norm": 0.0,
|
| 93 |
+
"learning_rate": 7.1e-07,
|
| 94 |
+
"loss": -0.0936,
|
| 95 |
+
"num_tokens": 12500.0,
|
| 96 |
+
"reward": 0.007500000298023224,
|
| 97 |
+
"reward_std": 0.015000000596046448,
|
| 98 |
+
"rewards/reward_helper/mean": 0.007500000298023224,
|
| 99 |
+
"rewards/reward_helper/std": 0.015000002086162567,
|
| 100 |
+
"sampling/importance_sampling_ratio/max": 1.0458860635757445,
|
| 101 |
+
"sampling/importance_sampling_ratio/mean": 1.0027949154376983,
|
| 102 |
+
"sampling/importance_sampling_ratio/min": 0.9623779714107513,
|
| 103 |
+
"sampling/sampling_logp_difference/max": 0.040722915157675746,
|
| 104 |
+
"sampling/sampling_logp_difference/mean": 0.006484306254424155,
|
| 105 |
+
"step": 30,
|
| 106 |
+
"step_time": 1.29722429359999
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"clip_ratio/high_max": 0.0,
|
| 110 |
+
"clip_ratio/high_mean": 0.0,
|
| 111 |
+
"clip_ratio/low_mean": 0.0,
|
| 112 |
+
"clip_ratio/low_min": 0.0,
|
| 113 |
+
"clip_ratio/region_mean": 0.0,
|
| 114 |
+
"completions/clipped_ratio": 0.125,
|
| 115 |
+
"completions/max_length": 80.8,
|
| 116 |
+
"completions/max_terminated_length": 4.3,
|
| 117 |
+
"completions/mean_length": 33.725,
|
| 118 |
+
"completions/mean_terminated_length": 1.85,
|
| 119 |
+
"completions/min_length": 1.0,
|
| 120 |
+
"completions/min_terminated_length": 1.0,
|
| 121 |
+
"entropy": 0.8639558412134647,
|
| 122 |
+
"epoch": 0.1,
|
| 123 |
+
"frac_reward_zero_std": 0.7,
|
| 124 |
+
"grad_norm": 0.0,
|
| 125 |
+
"learning_rate": 6.1e-07,
|
| 126 |
+
"loss": -0.3408,
|
| 127 |
+
"num_tokens": 17421.0,
|
| 128 |
+
"reward": 0.017500000633299352,
|
| 129 |
+
"reward_std": 0.035000001266598704,
|
| 130 |
+
"rewards/reward_helper/mean": 0.017500000633299352,
|
| 131 |
+
"rewards/reward_helper/std": 0.03500000424683094,
|
| 132 |
+
"sampling/importance_sampling_ratio/max": 1.1232336461544037,
|
| 133 |
+
"sampling/importance_sampling_ratio/mean": 1.0079659342765808,
|
| 134 |
+
"sampling/importance_sampling_ratio/min": 0.9237572312355041,
|
| 135 |
+
"sampling/sampling_logp_difference/max": 0.08927474431693554,
|
| 136 |
+
"sampling/sampling_logp_difference/mean": 0.009856639616191386,
|
| 137 |
+
"step": 40,
|
| 138 |
+
"step_time": 1.325083582900001
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"clip_ratio/high_max": 0.0,
|
| 142 |
+
"clip_ratio/high_mean": 0.0,
|
| 143 |
+
"clip_ratio/low_mean": 0.0,
|
| 144 |
+
"clip_ratio/low_min": 0.0,
|
| 145 |
+
"clip_ratio/region_mean": 0.0,
|
| 146 |
+
"completions/clipped_ratio": 0.175,
|
| 147 |
+
"completions/max_length": 143.6,
|
| 148 |
+
"completions/max_terminated_length": 55.9,
|
| 149 |
+
"completions/mean_length": 59.35,
|
| 150 |
+
"completions/mean_terminated_length": 15.916666793823243,
|
| 151 |
+
"completions/min_length": 1.0,
|
| 152 |
+
"completions/min_terminated_length": 1.0,
|
| 153 |
+
"entropy": 1.408535435795784,
|
| 154 |
+
"epoch": 0.125,
|
| 155 |
+
"frac_reward_zero_std": 0.6,
|
| 156 |
+
"grad_norm": 0.0,
|
| 157 |
+
"learning_rate": 5.1e-07,
|
| 158 |
+
"loss": -0.5045,
|
| 159 |
+
"num_tokens": 22655.0,
|
| 160 |
+
"reward": 0.025000000931322576,
|
| 161 |
+
"reward_std": 0.05000000186264515,
|
| 162 |
+
"rewards/reward_helper/mean": 0.025000000931322576,
|
| 163 |
+
"rewards/reward_helper/std": 0.05000000633299351,
|
| 164 |
+
"sampling/importance_sampling_ratio/max": 1.2991383910179137,
|
| 165 |
+
"sampling/importance_sampling_ratio/mean": 1.045933473110199,
|
| 166 |
+
"sampling/importance_sampling_ratio/min": 0.9206243932247162,
|
| 167 |
+
"sampling/sampling_logp_difference/max": 0.10195044428110123,
|
| 168 |
+
"sampling/sampling_logp_difference/mean": 0.011015815567225218,
|
| 169 |
+
"step": 50,
|
| 170 |
+
"step_time": 1.4795691685999999
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"clip_ratio/high_max": 0.0,
|
| 174 |
+
"clip_ratio/high_mean": 0.0,
|
| 175 |
+
"clip_ratio/low_mean": 0.0,
|
| 176 |
+
"clip_ratio/low_min": 0.0,
|
| 177 |
+
"clip_ratio/region_mean": 0.0,
|
| 178 |
+
"completions/clipped_ratio": 0.15,
|
| 179 |
+
"completions/max_length": 119.2,
|
| 180 |
+
"completions/max_terminated_length": 68.1,
|
| 181 |
+
"completions/mean_length": 57.775,
|
| 182 |
+
"completions/mean_terminated_length": 19.425,
|
| 183 |
+
"completions/min_length": 26.5,
|
| 184 |
+
"completions/min_terminated_length": 0.9,
|
| 185 |
+
"entropy": 1.288734181970358,
|
| 186 |
+
"epoch": 0.15,
|
| 187 |
+
"frac_reward_zero_std": 0.6,
|
| 188 |
+
"grad_norm": 6.278634548187256,
|
| 189 |
+
"learning_rate": 4.0999999999999994e-07,
|
| 190 |
+
"loss": -0.2518,
|
| 191 |
+
"num_tokens": 28242.0,
|
| 192 |
+
"reward": 0.0325000012293458,
|
| 193 |
+
"reward_std": 0.05232050903141498,
|
| 194 |
+
"rewards/reward_helper/mean": 0.0325000012293458,
|
| 195 |
+
"rewards/reward_helper/std": 0.052320512011647224,
|
| 196 |
+
"sampling/importance_sampling_ratio/max": 1.1803278803825379,
|
| 197 |
+
"sampling/importance_sampling_ratio/mean": 1.020902580022812,
|
| 198 |
+
"sampling/importance_sampling_ratio/min": 0.8570977985858917,
|
| 199 |
+
"sampling/sampling_logp_difference/max": 0.08151691369712352,
|
| 200 |
+
"sampling/sampling_logp_difference/mean": 0.010703828372061252,
|
| 201 |
+
"step": 60,
|
| 202 |
+
"step_time": 1.4942365265000093
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"clip_ratio/high_max": 0.0,
|
| 206 |
+
"clip_ratio/high_mean": 0.0,
|
| 207 |
+
"clip_ratio/low_mean": 0.0,
|
| 208 |
+
"clip_ratio/low_min": 0.0,
|
| 209 |
+
"clip_ratio/region_mean": 0.0,
|
| 210 |
+
"completions/clipped_ratio": 0.2,
|
| 211 |
+
"completions/max_length": 187.8,
|
| 212 |
+
"completions/max_terminated_length": 80.4,
|
| 213 |
+
"completions/mean_length": 76.725,
|
| 214 |
+
"completions/mean_terminated_length": 33.31666717529297,
|
| 215 |
+
"completions/min_length": 1.0,
|
| 216 |
+
"completions/min_terminated_length": 1.0,
|
| 217 |
+
"entropy": 2.0541629776358605,
|
| 218 |
+
"epoch": 0.175,
|
| 219 |
+
"frac_reward_zero_std": 0.4,
|
| 220 |
+
"grad_norm": 10.47471809387207,
|
| 221 |
+
"learning_rate": 3.1e-07,
|
| 222 |
+
"loss": -0.4418,
|
| 223 |
+
"num_tokens": 35115.0,
|
| 224 |
+
"reward": 0.05500000212341547,
|
| 225 |
+
"reward_std": 0.08464101739227772,
|
| 226 |
+
"rewards/reward_helper/mean": 0.05500000212341547,
|
| 227 |
+
"rewards/reward_helper/std": 0.08464102186262608,
|
| 228 |
+
"sampling/importance_sampling_ratio/max": 1.1099666595458983,
|
| 229 |
+
"sampling/importance_sampling_ratio/mean": 0.9488288760185242,
|
| 230 |
+
"sampling/importance_sampling_ratio/min": 0.7294621288776397,
|
| 231 |
+
"sampling/sampling_logp_difference/max": 0.14803548753261567,
|
| 232 |
+
"sampling/sampling_logp_difference/mean": 0.014868053188547493,
|
| 233 |
+
"step": 70,
|
| 234 |
+
"step_time": 1.6123995632000174
|
| 235 |
},
|
| 236 |
{
|
| 237 |
"clip_ratio/high_max": 0.0,
|
|
|
|
| 239 |
"clip_ratio/low_mean": 0.0,
|
| 240 |
"clip_ratio/low_min": 0.0,
|
| 241 |
"clip_ratio/region_mean": 0.0,
|
| 242 |
+
"completions/clipped_ratio": 0.5,
|
| 243 |
+
"completions/max_length": 230.5,
|
| 244 |
+
"completions/max_terminated_length": 85.9,
|
| 245 |
+
"completions/mean_length": 149.775,
|
| 246 |
+
"completions/mean_terminated_length": 52.43333396911621,
|
| 247 |
+
"completions/min_length": 83.3,
|
| 248 |
+
"completions/min_terminated_length": 32.1,
|
| 249 |
+
"entropy": 2.11170057579875,
|
| 250 |
+
"epoch": 0.2,
|
| 251 |
+
"frac_reward_zero_std": 0.4,
|
| 252 |
+
"grad_norm": 5.259692668914795,
|
| 253 |
+
"learning_rate": 2.0999999999999997e-07,
|
| 254 |
+
"loss": -0.2111,
|
| 255 |
+
"num_tokens": 43822.0,
|
| 256 |
+
"reward": 0.08250000271946192,
|
| 257 |
+
"reward_std": 0.10280726440250873,
|
| 258 |
+
"rewards/reward_helper/mean": 0.08250000271946192,
|
| 259 |
+
"rewards/reward_helper/std": 0.10280726738274097,
|
| 260 |
+
"sampling/importance_sampling_ratio/max": 1.539601093530655,
|
| 261 |
+
"sampling/importance_sampling_ratio/mean": 1.1134967446327209,
|
| 262 |
+
"sampling/importance_sampling_ratio/min": 0.7393792182207107,
|
| 263 |
+
"sampling/sampling_logp_difference/max": 0.1634996145963669,
|
| 264 |
+
"sampling/sampling_logp_difference/mean": 0.014190209750086068,
|
| 265 |
+
"step": 80,
|
| 266 |
+
"step_time": 1.6749743500999899
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"clip_ratio/high_max": 0.0,
|
| 270 |
+
"clip_ratio/high_mean": 0.0,
|
| 271 |
+
"clip_ratio/low_mean": 0.0,
|
| 272 |
+
"clip_ratio/low_min": 0.0,
|
| 273 |
+
"clip_ratio/region_mean": 0.0,
|
| 274 |
+
"completions/clipped_ratio": 0.65,
|
| 275 |
"completions/max_length": 256.0,
|
| 276 |
+
"completions/max_terminated_length": 76.9,
|
| 277 |
+
"completions/mean_length": 196.8,
|
| 278 |
+
"completions/mean_terminated_length": 67.38333435058594,
|
| 279 |
+
"completions/min_length": 83.5,
|
| 280 |
+
"completions/min_terminated_length": 57.9,
|
| 281 |
+
"entropy": 1.6522414579987525,
|
| 282 |
+
"epoch": 0.225,
|
| 283 |
+
"frac_reward_zero_std": 0.0,
|
| 284 |
+
"grad_norm": 6.119882583618164,
|
| 285 |
+
"learning_rate": 1.0999999999999999e-07,
|
| 286 |
+
"loss": -0.2799,
|
| 287 |
+
"num_tokens": 55182.0,
|
| 288 |
+
"reward": 0.19750000536441803,
|
| 289 |
+
"reward_std": 0.22683281898498536,
|
| 290 |
+
"rewards/reward_helper/mean": 0.19750000536441803,
|
| 291 |
+
"rewards/reward_helper/std": 0.22683282494544982,
|
| 292 |
+
"sampling/importance_sampling_ratio/max": 1.3945529162883759,
|
| 293 |
+
"sampling/importance_sampling_ratio/mean": 0.9089209794998169,
|
| 294 |
+
"sampling/importance_sampling_ratio/min": 0.5628022223711013,
|
| 295 |
+
"sampling/sampling_logp_difference/max": 0.1890378475189209,
|
| 296 |
+
"sampling/sampling_logp_difference/mean": 0.0153791518881917,
|
| 297 |
+
"step": 90,
|
| 298 |
+
"step_time": 1.7072683768000103
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"clip_ratio/high_max": 0.0,
|
| 302 |
+
"clip_ratio/high_mean": 0.0,
|
| 303 |
+
"clip_ratio/low_mean": 0.0,
|
| 304 |
+
"clip_ratio/low_min": 0.0,
|
| 305 |
+
"clip_ratio/region_mean": 0.0,
|
| 306 |
+
"completions/clipped_ratio": 0.6,
|
| 307 |
+
"completions/max_length": 255.0,
|
| 308 |
+
"completions/max_terminated_length": 120.7,
|
| 309 |
+
"completions/mean_length": 197.3,
|
| 310 |
+
"completions/mean_terminated_length": 87.23333358764648,
|
| 311 |
+
"completions/min_length": 112.7,
|
| 312 |
+
"completions/min_terminated_length": 61.5,
|
| 313 |
+
"entropy": 1.7242027707397938,
|
| 314 |
+
"epoch": 0.25,
|
| 315 |
"frac_reward_zero_std": 0.1,
|
| 316 |
+
"grad_norm": 10.829450607299805,
|
| 317 |
+
"learning_rate": 1e-08,
|
| 318 |
+
"loss": -0.1902,
|
| 319 |
+
"num_tokens": 65950.0,
|
| 320 |
+
"reward": 0.11250000465661288,
|
| 321 |
+
"reward_std": 0.13696152605116368,
|
| 322 |
+
"rewards/reward_helper/mean": 0.11250000465661288,
|
| 323 |
+
"rewards/reward_helper/std": 0.13696153201162814,
|
| 324 |
+
"sampling/importance_sampling_ratio/max": 1.7122498869895935,
|
| 325 |
+
"sampling/importance_sampling_ratio/mean": 1.096574491262436,
|
| 326 |
+
"sampling/importance_sampling_ratio/min": 0.6619945377111435,
|
| 327 |
+
"sampling/sampling_logp_difference/max": 0.15592530369758606,
|
| 328 |
+
"sampling/sampling_logp_difference/mean": 0.015373438503593207,
|
| 329 |
+
"step": 100,
|
| 330 |
+
"step_time": 1.7581579990000022
|
| 331 |
}
|
| 332 |
],
|
| 333 |
"logging_steps": 10,
|
| 334 |
+
"max_steps": 100,
|
| 335 |
+
"num_input_tokens_seen": 65950,
|
| 336 |
"num_train_epochs": 1,
|
| 337 |
+
"save_steps": 10,
|
| 338 |
"stateful_callbacks": {
|
| 339 |
"TrainerControl": {
|
| 340 |
"args": {
|
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 sha256:5ad22a28d8d4f0f2c1ffc0f71a4ce78d60e6521cf26c498c7b97024080ea428d
|
| 3 |
+
size 7697
|