matrig commited on
Commit
e3258b1
·
verified ·
1 Parent(s): 1ecc97f

Model save

Browse files
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/jxoq26bc)
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": 0.043375617856609414,
4
- "train_runtime": 7156.2523,
5
  "train_samples": 7500,
6
- "train_samples_per_second": 1.048,
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 sha256:5060de9f04dc693ea35a217ef2e700926b654d040440c9278bbc215f5fa98822
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 sha256:0d650bf55087aa18c8fac6bc65547220baa9acfd1f74e683634c6d2a52cc3927
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:ba667f28f745f2877bc5e0d58006a156f7da7e3b3b14e038efb64808548bfb32
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:a7d2ab63ce7a6aeb492b96a77c09633c61416cbafe27cf796509de18bd5e0612
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": 0.043375617856609414,
4
- "train_runtime": 7156.2523,
5
  "train_samples": 7500,
6
- "train_samples_per_second": 1.048,
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": 606.4085006713867,
14
  "epoch": 0.017057569296375266,
15
- "grad_norm": 0.5296090245246887,
16
  "kl": 0.0,
17
  "learning_rate": 5e-07,
18
- "loss": 0.0365,
19
- "reward": 0.6216518133878708,
20
- "reward_std": 0.3478058036416769,
21
- "rewards/accuracy_reward": 0.6216518133878708,
22
  "rewards/format_reward": 0.0,
23
  "step": 1
24
  },
25
  {
26
  "clip_ratio": 0.0,
27
- "completion_length": 602.2664861679077,
28
  "epoch": 0.08528784648187633,
29
- "grad_norm": 1.4470244646072388,
30
- "kl": 0.0002715587615966797,
31
  "learning_rate": 2.5e-06,
32
- "loss": 0.0273,
33
- "reward": 0.6037946781143546,
34
- "reward_std": 0.3562235124409199,
35
- "rewards/accuracy_reward": 0.6037946781143546,
36
  "rewards/format_reward": 0.0,
37
  "step": 5
38
  },
39
  {
40
  "clip_ratio": 0.0,
41
- "completion_length": 611.7169906616211,
42
  "epoch": 0.17057569296375266,
43
- "grad_norm": 3.7916312217712402,
44
- "kl": 0.01889810562133789,
45
  "learning_rate": 2.956412726139078e-06,
46
- "loss": 0.0486,
47
- "reward": 0.6729911074042321,
48
- "reward_std": 0.3084342211484909,
49
- "rewards/accuracy_reward": 0.6729911074042321,
50
  "rewards/format_reward": 0.0,
51
  "step": 10
52
  },
53
  {
54
  "clip_ratio": 0.0,
55
- "completion_length": 612.168775177002,
56
  "epoch": 0.255863539445629,
57
- "grad_norm": 0.4115124046802521,
58
- "kl": 0.03681182861328125,
59
  "learning_rate": 2.7836719084521715e-06,
60
- "loss": 0.0717,
61
- "reward": 0.7399553909897805,
62
- "reward_std": 0.25419430434703827,
63
- "rewards/accuracy_reward": 0.7399553909897805,
64
  "rewards/format_reward": 0.0,
65
  "step": 15
66
  },
67
  {
68
  "clip_ratio": 0.0,
69
- "completion_length": 600.9047164916992,
70
  "epoch": 0.3411513859275053,
71
- "grad_norm": 0.7677471041679382,
72
- "kl": 0.005244255065917969,
73
  "learning_rate": 2.4946839873611927e-06,
74
- "loss": 0.0661,
75
- "reward": 0.7549107432365417,
76
- "reward_std": 0.220241367444396,
77
- "rewards/accuracy_reward": 0.7549107432365417,
78
  "rewards/format_reward": 0.0,
79
  "step": 20
80
  },
81
  {
82
  "clip_ratio": 0.0,
83
- "completion_length": 598.3078430175781,
84
  "epoch": 0.42643923240938164,
85
- "grad_norm": 0.16668860614299774,
86
- "kl": 0.004644012451171875,
87
  "learning_rate": 2.1156192081791355e-06,
88
- "loss": 0.0425,
89
- "reward": 0.7542411059141159,
90
- "reward_std": 0.18852919656783343,
91
- "rewards/accuracy_reward": 0.7542411059141159,
92
  "rewards/format_reward": 0.0,
93
  "step": 25
94
  },
95
  {
96
  "clip_ratio": 0.0,
97
- "completion_length": 597.7076141357422,
98
  "epoch": 0.511727078891258,
99
- "grad_norm": 0.31668710708618164,
100
- "kl": 0.01171703338623047,
101
  "learning_rate": 1.6808050203829845e-06,
102
- "loss": 0.037,
103
- "reward": 0.7459821775555611,
104
- "reward_std": 0.1830730192363262,
105
- "rewards/accuracy_reward": 0.7459821775555611,
106
  "rewards/format_reward": 0.0,
107
  "step": 30
108
  },
109
  {
110
  "clip_ratio": 0.0,
111
- "completion_length": 593.6857360839844,
112
  "epoch": 0.5970149253731343,
113
- "grad_norm": 0.18625693023204803,
114
- "kl": 0.005298995971679687,
115
  "learning_rate": 1.2296174432791415e-06,
116
- "loss": 0.0354,
117
- "reward": 0.735044676065445,
118
- "reward_std": 0.19286190588027238,
119
- "rewards/accuracy_reward": 0.735044676065445,
120
  "rewards/format_reward": 0.0,
121
  "step": 35
122
  },
123
  {
124
  "clip_ratio": 0.0,
125
- "completion_length": 582.8056091308594,
126
  "epoch": 0.6823027718550106,
127
- "grad_norm": 0.24103553593158722,
128
- "kl": 0.006205368041992188,
129
  "learning_rate": 8.029152419343472e-07,
130
- "loss": 0.0354,
131
- "reward": 0.7558036059141159,
132
- "reward_std": 0.1935162746347487,
133
- "rewards/accuracy_reward": 0.7558036059141159,
134
  "rewards/format_reward": 0.0,
135
  "step": 40
136
  },
137
  {
138
  "clip_ratio": 0.0,
139
- "completion_length": 596.4489128112793,
140
  "epoch": 0.767590618336887,
141
- "grad_norm": 1.4750374555587769,
142
- "kl": 0.009486007690429687,
143
  "learning_rate": 4.3933982822017883e-07,
144
- "loss": 0.0303,
145
- "reward": 0.742857177555561,
146
- "reward_std": 0.2004485998302698,
147
- "rewards/accuracy_reward": 0.742857177555561,
148
  "rewards/format_reward": 0.0,
149
  "step": 45
150
  },
151
  {
152
  "clip_ratio": 0.0,
153
- "completion_length": 601.0569496154785,
154
  "epoch": 0.8528784648187633,
155
- "grad_norm": 0.2125380039215088,
156
- "kl": 0.0059661865234375,
157
  "learning_rate": 1.718159615201853e-07,
158
- "loss": 0.041,
159
- "reward": 0.7366071745753289,
160
- "reward_std": 0.2024520305916667,
161
- "rewards/accuracy_reward": 0.7366071745753289,
162
  "rewards/format_reward": 0.0,
163
  "step": 50
164
  },
165
  {
166
  "clip_ratio": 0.0,
167
- "completion_length": 589.6513717651367,
168
  "epoch": 0.9381663113006397,
169
- "grad_norm": 0.255264014005661,
170
- "kl": 0.0066814422607421875,
171
  "learning_rate": 2.4570139579284723e-08,
172
- "loss": 0.0317,
173
- "reward": 0.7718750342726708,
174
- "reward_std": 0.20143432933837174,
175
- "rewards/accuracy_reward": 0.7718750342726708,
176
  "rewards/format_reward": 0.0,
177
  "step": 55
178
  },
179
  {
180
  "clip_ratio": 0.0,
181
- "completion_length": 589.5065752665201,
182
  "epoch": 0.9893390191897654,
183
- "kl": 0.007272084554036458,
184
- "reward": 0.75632444024086,
185
- "reward_std": 0.1969691620518764,
186
- "rewards/accuracy_reward": 0.75632444024086,
187
  "rewards/format_reward": 0.0,
188
  "step": 58,
189
  "total_flos": 0.0,
190
- "train_loss": 0.043375617856609414,
191
- "train_runtime": 7156.2523,
192
- "train_samples_per_second": 1.048,
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 sha256:1296abcf48c305f93ea57b6b1d462ae5bda4a1337b41a43d9c9f5087aafa270f
3
  size 7992
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:311ce107a29421d5d273e4ae679537cf3812ea1e8f575fb7725ecc28ae41b9e1
3
  size 7992