Model save
Browse files- README.md +1 -1
- all_results.json +3 -3
- model-00001-of-00004.safetensors +1 -1
- model-00002-of-00004.safetensors +1 -1
- model-00003-of-00004.safetensors +1 -1
- model-00004-of-00004.safetensors +1 -1
- train_results.json +3 -3
- trainer_state.json +91 -91
- training_args.bin +1 -1
README.md
CHANGED
|
@@ -27,7 +27,7 @@ print(output["generated_text"])
|
|
| 27 |
|
| 28 |
## Training procedure
|
| 29 |
|
| 30 |
-
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/matrig/huggingface/runs/
|
| 31 |
|
| 32 |
|
| 33 |
This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).
|
|
|
|
| 27 |
|
| 28 |
## Training procedure
|
| 29 |
|
| 30 |
+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/matrig/huggingface/runs/z89grvzv)
|
| 31 |
|
| 32 |
|
| 33 |
This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).
|
all_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"total_flos": 0.0,
|
| 3 |
-
"train_loss": 0.
|
| 4 |
-
"train_runtime":
|
| 5 |
"train_samples": 7500,
|
| 6 |
-
"train_samples_per_second": 1.
|
| 7 |
"train_steps_per_second": 0.008
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"total_flos": 0.0,
|
| 3 |
+
"train_loss": 0.04243174159963583,
|
| 4 |
+
"train_runtime": 7171.9003,
|
| 5 |
"train_samples": 7500,
|
| 6 |
+
"train_samples_per_second": 1.046,
|
| 7 |
"train_steps_per_second": 0.008
|
| 8 |
}
|
model-00001-of-00004.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4877660776
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5f72b17bf1ecbb9b43ff508a8d5089311498c87c0cf5a9d71fcc747da4d2d1f1
|
| 3 |
size 4877660776
|
model-00002-of-00004.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4932751008
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0eccca5bcc4023fe572ad637a8d23c61570c57645878aeeee1fb53c7b6011e8b
|
| 3 |
size 4932751008
|
model-00003-of-00004.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4330865200
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d0d1171cc48dcf0e6d0cd989a475c8e52861013dc49581dc2e63c4b52066061e
|
| 3 |
size 4330865200
|
model-00004-of-00004.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1089994880
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f2098c98966562a74b60ac0115fb68ad529afc91cfad206b7e7d21bf0a3d04c9
|
| 3 |
size 1089994880
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"total_flos": 0.0,
|
| 3 |
-
"train_loss": 0.
|
| 4 |
-
"train_runtime":
|
| 5 |
"train_samples": 7500,
|
| 6 |
-
"train_samples_per_second": 1.
|
| 7 |
"train_steps_per_second": 0.008
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"total_flos": 0.0,
|
| 3 |
+
"train_loss": 0.04243174159963583,
|
| 4 |
+
"train_runtime": 7171.9003,
|
| 5 |
"train_samples": 7500,
|
| 6 |
+
"train_samples_per_second": 1.046,
|
| 7 |
"train_steps_per_second": 0.008
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -10,186 +10,186 @@
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"clip_ratio": 0.0,
|
| 13 |
-
"completion_length":
|
| 14 |
"epoch": 0.017057569296375266,
|
| 15 |
-
"grad_norm": 0.
|
| 16 |
"kl": 0.0,
|
| 17 |
"learning_rate": 5e-07,
|
| 18 |
-
"loss": 0.
|
| 19 |
-
"reward": 0.
|
| 20 |
-
"reward_std": 0.
|
| 21 |
-
"rewards/accuracy_reward": 0.
|
| 22 |
"rewards/format_reward": 0.0,
|
| 23 |
"step": 1
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"clip_ratio": 0.0,
|
| 27 |
-
"completion_length":
|
| 28 |
"epoch": 0.08528784648187633,
|
| 29 |
-
"grad_norm":
|
| 30 |
-
"kl": 0.
|
| 31 |
"learning_rate": 2.5e-06,
|
| 32 |
-
"loss": 0.
|
| 33 |
-
"reward": 0.
|
| 34 |
-
"reward_std": 0.
|
| 35 |
-
"rewards/accuracy_reward": 0.
|
| 36 |
"rewards/format_reward": 0.0,
|
| 37 |
"step": 5
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"clip_ratio": 0.0,
|
| 41 |
-
"completion_length":
|
| 42 |
"epoch": 0.17057569296375266,
|
| 43 |
-
"grad_norm":
|
| 44 |
-
"kl": 0.
|
| 45 |
"learning_rate": 2.956412726139078e-06,
|
| 46 |
-
"loss": 0.
|
| 47 |
-
"reward": 0.
|
| 48 |
-
"reward_std": 0.
|
| 49 |
-
"rewards/accuracy_reward": 0.
|
| 50 |
"rewards/format_reward": 0.0,
|
| 51 |
"step": 10
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"clip_ratio": 0.0,
|
| 55 |
-
"completion_length":
|
| 56 |
"epoch": 0.255863539445629,
|
| 57 |
-
"grad_norm": 0.
|
| 58 |
-
"kl": 0.
|
| 59 |
"learning_rate": 2.7836719084521715e-06,
|
| 60 |
-
"loss": 0.
|
| 61 |
-
"reward": 0.
|
| 62 |
-
"reward_std": 0.
|
| 63 |
-
"rewards/accuracy_reward": 0.
|
| 64 |
"rewards/format_reward": 0.0,
|
| 65 |
"step": 15
|
| 66 |
},
|
| 67 |
{
|
| 68 |
"clip_ratio": 0.0,
|
| 69 |
-
"completion_length":
|
| 70 |
"epoch": 0.3411513859275053,
|
| 71 |
-
"grad_norm": 0.
|
| 72 |
-
"kl": 0.
|
| 73 |
"learning_rate": 2.4946839873611927e-06,
|
| 74 |
-
"loss": 0.
|
| 75 |
-
"reward": 0.
|
| 76 |
-
"reward_std": 0.
|
| 77 |
-
"rewards/accuracy_reward": 0.
|
| 78 |
"rewards/format_reward": 0.0,
|
| 79 |
"step": 20
|
| 80 |
},
|
| 81 |
{
|
| 82 |
"clip_ratio": 0.0,
|
| 83 |
-
"completion_length":
|
| 84 |
"epoch": 0.42643923240938164,
|
| 85 |
-
"grad_norm": 0.
|
| 86 |
-
"kl": 0.
|
| 87 |
"learning_rate": 2.1156192081791355e-06,
|
| 88 |
-
"loss": 0.
|
| 89 |
-
"reward": 0.
|
| 90 |
-
"reward_std": 0.
|
| 91 |
-
"rewards/accuracy_reward": 0.
|
| 92 |
"rewards/format_reward": 0.0,
|
| 93 |
"step": 25
|
| 94 |
},
|
| 95 |
{
|
| 96 |
"clip_ratio": 0.0,
|
| 97 |
-
"completion_length":
|
| 98 |
"epoch": 0.511727078891258,
|
| 99 |
-
"grad_norm": 0.
|
| 100 |
-
"kl": 0.
|
| 101 |
"learning_rate": 1.6808050203829845e-06,
|
| 102 |
-
"loss": 0.
|
| 103 |
-
"reward": 0.
|
| 104 |
-
"reward_std": 0.
|
| 105 |
-
"rewards/accuracy_reward": 0.
|
| 106 |
"rewards/format_reward": 0.0,
|
| 107 |
"step": 30
|
| 108 |
},
|
| 109 |
{
|
| 110 |
"clip_ratio": 0.0,
|
| 111 |
-
"completion_length": 593.
|
| 112 |
"epoch": 0.5970149253731343,
|
| 113 |
-
"grad_norm": 0.
|
| 114 |
-
"kl": 0.
|
| 115 |
"learning_rate": 1.2296174432791415e-06,
|
| 116 |
-
"loss": 0.
|
| 117 |
-
"reward": 0.
|
| 118 |
-
"reward_std": 0.
|
| 119 |
-
"rewards/accuracy_reward": 0.
|
| 120 |
"rewards/format_reward": 0.0,
|
| 121 |
"step": 35
|
| 122 |
},
|
| 123 |
{
|
| 124 |
"clip_ratio": 0.0,
|
| 125 |
-
"completion_length":
|
| 126 |
"epoch": 0.6823027718550106,
|
| 127 |
-
"grad_norm": 0.
|
| 128 |
-
"kl": 0.
|
| 129 |
"learning_rate": 8.029152419343472e-07,
|
| 130 |
-
"loss": 0.
|
| 131 |
-
"reward": 0.
|
| 132 |
-
"reward_std": 0.
|
| 133 |
-
"rewards/accuracy_reward": 0.
|
| 134 |
"rewards/format_reward": 0.0,
|
| 135 |
"step": 40
|
| 136 |
},
|
| 137 |
{
|
| 138 |
"clip_ratio": 0.0,
|
| 139 |
-
"completion_length":
|
| 140 |
"epoch": 0.767590618336887,
|
| 141 |
-
"grad_norm":
|
| 142 |
-
"kl": 0.
|
| 143 |
"learning_rate": 4.3933982822017883e-07,
|
| 144 |
-
"loss": 0.
|
| 145 |
-
"reward": 0.
|
| 146 |
-
"reward_std": 0.
|
| 147 |
-
"rewards/accuracy_reward": 0.
|
| 148 |
"rewards/format_reward": 0.0,
|
| 149 |
"step": 45
|
| 150 |
},
|
| 151 |
{
|
| 152 |
"clip_ratio": 0.0,
|
| 153 |
-
"completion_length":
|
| 154 |
"epoch": 0.8528784648187633,
|
| 155 |
-
"grad_norm": 0.
|
| 156 |
-
"kl": 0.
|
| 157 |
"learning_rate": 1.718159615201853e-07,
|
| 158 |
-
"loss": 0.
|
| 159 |
-
"reward": 0.
|
| 160 |
-
"reward_std": 0.
|
| 161 |
-
"rewards/accuracy_reward": 0.
|
| 162 |
"rewards/format_reward": 0.0,
|
| 163 |
"step": 50
|
| 164 |
},
|
| 165 |
{
|
| 166 |
"clip_ratio": 0.0,
|
| 167 |
-
"completion_length":
|
| 168 |
"epoch": 0.9381663113006397,
|
| 169 |
-
"grad_norm": 0.
|
| 170 |
-
"kl": 0.
|
| 171 |
"learning_rate": 2.4570139579284723e-08,
|
| 172 |
-
"loss": 0.
|
| 173 |
-
"reward": 0.
|
| 174 |
-
"reward_std": 0.
|
| 175 |
-
"rewards/accuracy_reward": 0.
|
| 176 |
"rewards/format_reward": 0.0,
|
| 177 |
"step": 55
|
| 178 |
},
|
| 179 |
{
|
| 180 |
"clip_ratio": 0.0,
|
| 181 |
-
"completion_length":
|
| 182 |
"epoch": 0.9893390191897654,
|
| 183 |
-
"kl": 0.
|
| 184 |
-
"reward": 0.
|
| 185 |
-
"reward_std": 0.
|
| 186 |
-
"rewards/accuracy_reward": 0.
|
| 187 |
"rewards/format_reward": 0.0,
|
| 188 |
"step": 58,
|
| 189 |
"total_flos": 0.0,
|
| 190 |
-
"train_loss": 0.
|
| 191 |
-
"train_runtime":
|
| 192 |
-
"train_samples_per_second": 1.
|
| 193 |
"train_steps_per_second": 0.008
|
| 194 |
}
|
| 195 |
],
|
|
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"clip_ratio": 0.0,
|
| 13 |
+
"completion_length": 605.6372985839844,
|
| 14 |
"epoch": 0.017057569296375266,
|
| 15 |
+
"grad_norm": 0.5198791027069092,
|
| 16 |
"kl": 0.0,
|
| 17 |
"learning_rate": 5e-07,
|
| 18 |
+
"loss": 0.0297,
|
| 19 |
+
"reward": 0.6272321715950966,
|
| 20 |
+
"reward_std": 0.3432547841221094,
|
| 21 |
+
"rewards/accuracy_reward": 0.6272321715950966,
|
| 22 |
"rewards/format_reward": 0.0,
|
| 23 |
"step": 1
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"clip_ratio": 0.0,
|
| 27 |
+
"completion_length": 601.5561113357544,
|
| 28 |
"epoch": 0.08528784648187633,
|
| 29 |
+
"grad_norm": 0.3226652443408966,
|
| 30 |
+
"kl": 0.0007017850875854492,
|
| 31 |
"learning_rate": 2.5e-06,
|
| 32 |
+
"loss": 0.0077,
|
| 33 |
+
"reward": 0.603794670663774,
|
| 34 |
+
"reward_std": 0.35096015920862556,
|
| 35 |
+
"rewards/accuracy_reward": 0.603794670663774,
|
| 36 |
"rewards/format_reward": 0.0,
|
| 37 |
"step": 5
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"clip_ratio": 0.0,
|
| 41 |
+
"completion_length": 608.2205635070801,
|
| 42 |
"epoch": 0.17057569296375266,
|
| 43 |
+
"grad_norm": 0.2746102213859558,
|
| 44 |
+
"kl": 0.0061968803405761715,
|
| 45 |
"learning_rate": 2.956412726139078e-06,
|
| 46 |
+
"loss": 0.0503,
|
| 47 |
+
"reward": 0.6727678865194321,
|
| 48 |
+
"reward_std": 0.3072200361639261,
|
| 49 |
+
"rewards/accuracy_reward": 0.6727678865194321,
|
| 50 |
"rewards/format_reward": 0.0,
|
| 51 |
"step": 10
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"clip_ratio": 0.0,
|
| 55 |
+
"completion_length": 600.5703376770019,
|
| 56 |
"epoch": 0.255863539445629,
|
| 57 |
+
"grad_norm": 0.15307798981666565,
|
| 58 |
+
"kl": 0.005248260498046875,
|
| 59 |
"learning_rate": 2.7836719084521715e-06,
|
| 60 |
+
"loss": 0.0737,
|
| 61 |
+
"reward": 0.758705398440361,
|
| 62 |
+
"reward_std": 0.22059124447405337,
|
| 63 |
+
"rewards/accuracy_reward": 0.758705398440361,
|
| 64 |
"rewards/format_reward": 0.0,
|
| 65 |
"step": 15
|
| 66 |
},
|
| 67 |
{
|
| 68 |
"clip_ratio": 0.0,
|
| 69 |
+
"completion_length": 589.4640838623047,
|
| 70 |
"epoch": 0.3411513859275053,
|
| 71 |
+
"grad_norm": 0.13478825986385345,
|
| 72 |
+
"kl": 0.004410362243652344,
|
| 73 |
"learning_rate": 2.4946839873611927e-06,
|
| 74 |
+
"loss": 0.0521,
|
| 75 |
+
"reward": 0.7656250417232513,
|
| 76 |
+
"reward_std": 0.19759314637631178,
|
| 77 |
+
"rewards/accuracy_reward": 0.7656250417232513,
|
| 78 |
"rewards/format_reward": 0.0,
|
| 79 |
"step": 20
|
| 80 |
},
|
| 81 |
{
|
| 82 |
"clip_ratio": 0.0,
|
| 83 |
+
"completion_length": 593.369002532959,
|
| 84 |
"epoch": 0.42643923240938164,
|
| 85 |
+
"grad_norm": 0.13584953546524048,
|
| 86 |
+
"kl": 0.005138778686523437,
|
| 87 |
"learning_rate": 2.1156192081791355e-06,
|
| 88 |
+
"loss": 0.0484,
|
| 89 |
+
"reward": 0.7676339626312256,
|
| 90 |
+
"reward_std": 0.17082388242706656,
|
| 91 |
+
"rewards/accuracy_reward": 0.7676339626312256,
|
| 92 |
"rewards/format_reward": 0.0,
|
| 93 |
"step": 25
|
| 94 |
},
|
| 95 |
{
|
| 96 |
"clip_ratio": 0.0,
|
| 97 |
+
"completion_length": 598.1558288574219,
|
| 98 |
"epoch": 0.511727078891258,
|
| 99 |
+
"grad_norm": 0.09639401733875275,
|
| 100 |
+
"kl": 0.003318023681640625,
|
| 101 |
"learning_rate": 1.6808050203829845e-06,
|
| 102 |
+
"loss": 0.0395,
|
| 103 |
+
"reward": 0.7537946760654449,
|
| 104 |
+
"reward_std": 0.17525787679478527,
|
| 105 |
+
"rewards/accuracy_reward": 0.7537946760654449,
|
| 106 |
"rewards/format_reward": 0.0,
|
| 107 |
"step": 30
|
| 108 |
},
|
| 109 |
{
|
| 110 |
"clip_ratio": 0.0,
|
| 111 |
+
"completion_length": 593.4710098266602,
|
| 112 |
"epoch": 0.5970149253731343,
|
| 113 |
+
"grad_norm": 0.10184694081544876,
|
| 114 |
+
"kl": 0.0056324005126953125,
|
| 115 |
"learning_rate": 1.2296174432791415e-06,
|
| 116 |
+
"loss": 0.0295,
|
| 117 |
+
"reward": 0.7473214656114578,
|
| 118 |
+
"reward_std": 0.1758826152421534,
|
| 119 |
+
"rewards/accuracy_reward": 0.7473214656114578,
|
| 120 |
"rewards/format_reward": 0.0,
|
| 121 |
"step": 35
|
| 122 |
},
|
| 123 |
{
|
| 124 |
"clip_ratio": 0.0,
|
| 125 |
+
"completion_length": 579.4178863525391,
|
| 126 |
"epoch": 0.6823027718550106,
|
| 127 |
+
"grad_norm": 0.0822824090719223,
|
| 128 |
+
"kl": 0.005002212524414062,
|
| 129 |
"learning_rate": 8.029152419343472e-07,
|
| 130 |
+
"loss": 0.0407,
|
| 131 |
+
"reward": 0.7607143178582192,
|
| 132 |
+
"reward_std": 0.17344756741076708,
|
| 133 |
+
"rewards/accuracy_reward": 0.7607143178582192,
|
| 134 |
"rewards/format_reward": 0.0,
|
| 135 |
"step": 40
|
| 136 |
},
|
| 137 |
{
|
| 138 |
"clip_ratio": 0.0,
|
| 139 |
+
"completion_length": 592.2201156616211,
|
| 140 |
"epoch": 0.767590618336887,
|
| 141 |
+
"grad_norm": 0.08887068182229996,
|
| 142 |
+
"kl": 0.004409027099609375,
|
| 143 |
"learning_rate": 4.3933982822017883e-07,
|
| 144 |
+
"loss": 0.0351,
|
| 145 |
+
"reward": 0.7473214611411094,
|
| 146 |
+
"reward_std": 0.18249810487031937,
|
| 147 |
+
"rewards/accuracy_reward": 0.7473214611411094,
|
| 148 |
"rewards/format_reward": 0.0,
|
| 149 |
"step": 45
|
| 150 |
},
|
| 151 |
{
|
| 152 |
"clip_ratio": 0.0,
|
| 153 |
+
"completion_length": 599.4567222595215,
|
| 154 |
"epoch": 0.8528784648187633,
|
| 155 |
+
"grad_norm": 0.09352638572454453,
|
| 156 |
+
"kl": 0.004033279418945312,
|
| 157 |
"learning_rate": 1.718159615201853e-07,
|
| 158 |
+
"loss": 0.0373,
|
| 159 |
+
"reward": 0.747544676065445,
|
| 160 |
+
"reward_std": 0.18660746775567533,
|
| 161 |
+
"rewards/accuracy_reward": 0.747544676065445,
|
| 162 |
"rewards/format_reward": 0.0,
|
| 163 |
"step": 50
|
| 164 |
},
|
| 165 |
{
|
| 166 |
"clip_ratio": 0.0,
|
| 167 |
+
"completion_length": 588.4038238525391,
|
| 168 |
"epoch": 0.9381663113006397,
|
| 169 |
+
"grad_norm": 0.512617290019989,
|
| 170 |
+
"kl": 0.004796600341796875,
|
| 171 |
"learning_rate": 2.4570139579284723e-08,
|
| 172 |
+
"loss": 0.0337,
|
| 173 |
+
"reward": 0.7707589581608772,
|
| 174 |
+
"reward_std": 0.18231952451169492,
|
| 175 |
+
"rewards/accuracy_reward": 0.7707589581608772,
|
| 176 |
"rewards/format_reward": 0.0,
|
| 177 |
"step": 55
|
| 178 |
},
|
| 179 |
{
|
| 180 |
"clip_ratio": 0.0,
|
| 181 |
+
"completion_length": 578.9475390116373,
|
| 182 |
"epoch": 0.9893390191897654,
|
| 183 |
+
"kl": 0.0038859049479166665,
|
| 184 |
+
"reward": 0.7656250298023224,
|
| 185 |
+
"reward_std": 0.1823850224415461,
|
| 186 |
+
"rewards/accuracy_reward": 0.7656250298023224,
|
| 187 |
"rewards/format_reward": 0.0,
|
| 188 |
"step": 58,
|
| 189 |
"total_flos": 0.0,
|
| 190 |
+
"train_loss": 0.04243174159963583,
|
| 191 |
+
"train_runtime": 7171.9003,
|
| 192 |
+
"train_samples_per_second": 1.046,
|
| 193 |
"train_steps_per_second": 0.008
|
| 194 |
}
|
| 195 |
],
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 7992
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:311ce107a29421d5d273e4ae679537cf3812ea1e8f575fb7725ecc28ae41b9e1
|
| 3 |
size 7992
|