Hugging Face's logo

Rain212
/
Qwen-2.5-7B-Simple-RL

Text Generation
Transformers
Safetensors
qwen2
Generated from Trainer
trl
grpo
conversational
text-generation-inference
Model card Files Community
Qwen-2.5-7B-Simple-RL
File size: 5,836 Bytes 
eef6d30
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.9893390191897654,
  "eval_steps": 100,
  "global_step": 58,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "completion_length": 606.2089546203613,
      "epoch": 0.08528784648187633,
      "grad_norm": 0.29036083817481995,
      "kl": 0.00022020339965820313,
      "learning_rate": 2.5e-06,
      "loss": 0.0464,
      "reward": 0.6397321701049805,
      "reward_std": 0.3235082272440195,
      "rewards/accuracy_reward": 0.6390625275671482,
      "rewards/format_reward": 0.0006696428870782256,
      "step": 5
    },
    {
      "completion_length": 612.3254737854004,
      "epoch": 0.17057569296375266,
      "grad_norm": 2.9889135360717773,
      "kl": 0.7559915542602539,
      "learning_rate": 2.956412726139078e-06,
      "loss": 0.111,
      "reward": 0.696651816368103,
      "reward_std": 0.2815938711166382,
      "rewards/accuracy_reward": 0.6962053865194321,
      "rewards/format_reward": 0.00044642859138548373,
      "step": 10
    },
    {
      "completion_length": 588.2087371826171,
      "epoch": 0.255863539445629,
      "grad_norm": 58.945621490478516,
      "kl": 0.013921737670898438,
      "learning_rate": 2.7836719084521715e-06,
      "loss": 0.0668,
      "reward": 0.7671875312924386,
      "reward_std": 0.21175616141408682,
      "rewards/accuracy_reward": 0.7671875312924386,
      "rewards/format_reward": 0.0,
      "step": 15
    },
    {
      "completion_length": 577.985066986084,
      "epoch": 0.3411513859275053,
      "grad_norm": 8.070592880249023,
      "kl": 23.920117950439455,
      "learning_rate": 2.4946839873611927e-06,
      "loss": 2.1306,
      "reward": 0.7787946745753288,
      "reward_std": 0.18835734333842993,
      "rewards/accuracy_reward": 0.7787946745753288,
      "rewards/format_reward": 0.0,
      "step": 20
    },
    {
      "completion_length": 589.9038261413574,
      "epoch": 0.42643923240938164,
      "grad_norm": 12.532156944274902,
      "kl": 0.11749801635742188,
      "learning_rate": 2.1156192081791355e-06,
      "loss": 0.0537,
      "reward": 0.7645089641213417,
      "reward_std": 0.1823441507294774,
      "rewards/accuracy_reward": 0.7645089641213417,
      "rewards/format_reward": 0.0,
      "step": 25
    },
    {
      "completion_length": 597.8422134399414,
      "epoch": 0.511727078891258,
      "grad_norm": 338.9886169433594,
      "kl": 0.22518844604492189,
      "learning_rate": 1.6808050203829845e-06,
      "loss": 0.0479,
      "reward": 0.7513393253087998,
      "reward_std": 0.17386628594249487,
      "rewards/accuracy_reward": 0.7513393253087998,
      "rewards/format_reward": 0.0,
      "step": 30
    },
    {
      "completion_length": 591.2631973266601,
      "epoch": 0.5970149253731343,
      "grad_norm": 10.277711868286133,
      "kl": 0.11962966918945313,
      "learning_rate": 1.2296174432791415e-06,
      "loss": 0.0388,
      "reward": 0.744419677555561,
      "reward_std": 0.16556358551606537,
      "rewards/accuracy_reward": 0.744419677555561,
      "rewards/format_reward": 0.0,
      "step": 35
    },
    {
      "completion_length": 582.1995803833008,
      "epoch": 0.6823027718550106,
      "grad_norm": 2.5935020446777344,
      "kl": 0.018338775634765624,
      "learning_rate": 8.029152419343472e-07,
      "loss": 0.0428,
      "reward": 0.7609375298023224,
      "reward_std": 0.181213954789564,
      "rewards/accuracy_reward": 0.7609375298023224,
      "rewards/format_reward": 0.0,
      "step": 40
    },
    {
      "completion_length": 602.1290435791016,
      "epoch": 0.767590618336887,
      "grad_norm": 14.890217781066895,
      "kl": 5.168456268310547,
      "learning_rate": 4.3933982822017883e-07,
      "loss": 0.3779,
      "reward": 0.7399553924798965,
      "reward_std": 0.19358455892652274,
      "rewards/accuracy_reward": 0.7399553924798965,
      "rewards/format_reward": 0.0,
      "step": 45
    },
    {
      "completion_length": 598.5703392028809,
      "epoch": 0.8528784648187633,
      "grad_norm": 5.467597007751465,
      "kl": 0.12263717651367187,
      "learning_rate": 1.718159615201853e-07,
      "loss": 0.0443,
      "reward": 0.7386161044239998,
      "reward_std": 0.19092278694733977,
      "rewards/accuracy_reward": 0.7386161044239998,
      "rewards/format_reward": 0.0,
      "step": 50
    },
    {
      "completion_length": 591.5207893371582,
      "epoch": 0.9381663113006397,
      "grad_norm": 74.10267639160156,
      "kl": 0.07649765014648438,
      "learning_rate": 2.4570139579284723e-08,
      "loss": 0.0465,
      "reward": 0.7707589626312256,
      "reward_std": 0.1925399899482727,
      "rewards/accuracy_reward": 0.7707589626312256,
      "rewards/format_reward": 0.0,
      "step": 55
    },
    {
      "completion_length": 587.6321029663086,
      "epoch": 0.9893390191897654,
      "kl": 0.052463531494140625,
      "reward": 0.7678571715950966,
      "reward_std": 0.17418795668830475,
      "rewards/accuracy_reward": 0.7678571715950966,
      "rewards/format_reward": 0.0,
      "step": 58,
      "total_flos": 0.0,
      "train_loss": 0.25991881401117506,
      "train_runtime": 12262.8912,
      "train_samples_per_second": 0.612,
      "train_steps_per_second": 0.005
    }
  ],
  "logging_steps": 5,
  "max_steps": 58,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": false,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 0.0,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": null
}