watatano commited on
Commit
a29b05e
·
verified ·
1 Parent(s): 37d708f

End of training

Browse files
README.md CHANGED
@@ -1,5 +1,5 @@
1
  ---
2
- base_model: Gensyn/Qwen2.5-0.5B-Instruct
3
  library_name: transformers
4
  model_name: gensyn-checkpoints-flexible_scruffy_condor
5
  tags:
@@ -8,13 +8,14 @@ tags:
8
  - grpo
9
  - gensyn
10
  - I am flexible scruffy condor
 
11
  - trl
12
  licence: license
13
  ---
14
 
15
  # Model Card for gensyn-checkpoints-flexible_scruffy_condor
16
 
17
- This model is a fine-tuned version of [Gensyn/Qwen2.5-0.5B-Instruct](https://huggingface.co/Gensyn/Qwen2.5-0.5B-Instruct).
18
  It has been trained using [TRL](https://github.com/huggingface/trl).
19
 
20
  ## Quick start
@@ -39,7 +40,7 @@ This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing
39
 
40
  - TRL: 0.15.2
41
  - Transformers: 4.51.3
42
- - Pytorch: 2.5.1
43
  - Datasets: 3.5.0
44
  - Tokenizers: 0.21.1
45
 
 
1
  ---
2
+ base_model: Gensyn/Qwen2.5-1.5B-Instruct
3
  library_name: transformers
4
  model_name: gensyn-checkpoints-flexible_scruffy_condor
5
  tags:
 
8
  - grpo
9
  - gensyn
10
  - I am flexible scruffy condor
11
+ - unsloth
12
  - trl
13
  licence: license
14
  ---
15
 
16
  # Model Card for gensyn-checkpoints-flexible_scruffy_condor
17
 
18
+ This model is a fine-tuned version of [Gensyn/Qwen2.5-1.5B-Instruct](https://huggingface.co/Gensyn/Qwen2.5-1.5B-Instruct).
19
  It has been trained using [TRL](https://github.com/huggingface/trl).
20
 
21
  ## Quick start
 
40
 
41
  - TRL: 0.15.2
42
  - Transformers: 4.51.3
43
+ - Pytorch: 2.6.0
44
  - Datasets: 3.5.0
45
  - Tokenizers: 0.21.1
46
 
adapter_config.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": null,
4
+ "base_model_name_or_path": "Gensyn/Qwen2.5-1.5B-Instruct",
5
+ "bias": "none",
6
+ "corda_config": null,
7
+ "eva_config": null,
8
+ "exclude_modules": null,
9
+ "fan_in_fan_out": false,
10
+ "inference_mode": true,
11
+ "init_lora_weights": true,
12
+ "layer_replication": null,
13
+ "layers_pattern": null,
14
+ "layers_to_transform": null,
15
+ "loftq_config": {},
16
+ "lora_alpha": 16,
17
+ "lora_bias": false,
18
+ "lora_dropout": 0,
19
+ "megatron_config": null,
20
+ "megatron_core": "megatron.core",
21
+ "modules_to_save": null,
22
+ "peft_type": "LORA",
23
+ "r": 16,
24
+ "rank_pattern": {},
25
+ "revision": null,
26
+ "target_modules": [
27
+ "v_proj",
28
+ "down_proj",
29
+ "up_proj",
30
+ "gate_proj",
31
+ "o_proj",
32
+ "q_proj",
33
+ "k_proj"
34
+ ],
35
+ "task_type": "CAUSAL_LM",
36
+ "trainable_token_indices": null,
37
+ "use_dora": false,
38
+ "use_rslora": false
39
+ }
adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2c651b67e0f28f123c7d96183c509f4f4095ca7a070633dd73ed4b26d806a132
3
+ size 73911112
all_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "total_flos": 0.0,
3
- "train_loss": 2.8217583894729616e-05,
4
- "train_runtime": 239.7783,
5
- "train_samples": 28,
6
- "train_samples_per_second": 1.335,
7
- "train_steps_per_second": 0.083
8
  }
 
1
  {
2
  "total_flos": 0.0,
3
+ "train_loss": 9.213837813604187e-07,
4
+ "train_runtime": 1717.4399,
5
+ "train_samples": 100,
6
+ "train_samples_per_second": 0.186,
7
+ "train_steps_per_second": 0.012
8
  }
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "total_flos": 0.0,
3
- "train_loss": 2.8217583894729616e-05,
4
- "train_runtime": 239.7783,
5
- "train_samples": 28,
6
- "train_samples_per_second": 1.335,
7
- "train_steps_per_second": 0.083
8
  }
 
1
  {
2
  "total_flos": 0.0,
3
+ "train_loss": 9.213837813604187e-07,
4
+ "train_runtime": 1717.4399,
5
+ "train_samples": 100,
6
+ "train_samples_per_second": 0.186,
7
+ "train_steps_per_second": 0.012
8
  }
trainer_state.json CHANGED
@@ -2,7 +2,7 @@
2
  "best_global_step": null,
3
  "best_metric": null,
4
  "best_model_checkpoint": null,
5
- "epoch": 5.0,
6
  "eval_steps": 500,
7
  "global_step": 20,
8
  "is_hyper_param_search": false,
@@ -10,209 +10,209 @@
10
  "is_world_process_zero": true,
11
  "log_history": [
12
  {
13
- "completion_length": 351.1875,
14
- "epoch": 0.5714285714285714,
15
- "grad_norm": 4.696744918823242,
16
- "kl": 0.0,
17
  "learning_rate": 5e-07,
18
- "loss": -0.0,
19
- "reward": 1.8700803834944963,
20
- "reward_std": 1.1751239793375134,
21
- "rewards/concensus_correctness_reward_func": 0.3256249986588955,
22
- "rewards/consensus_reward_func": 0.5,
23
  "rewards/cumulative_reward_2": 0.0,
24
  "rewards/final_correctness_reward_func": 0.0,
25
- "rewards/question_recreation_reward_func": 0.4988928958773613,
26
  "rewards/soft_format_reward_func": 0.0,
27
  "rewards/strict_format_reward_func": 0.0,
28
- "rewards/xmlcount_reward_func": 0.5455625092145056,
29
  "step": 2
30
  },
31
  {
32
- "completion_length": 276.5416666666667,
33
- "epoch": 1.0,
34
- "grad_norm": 4.756100654602051,
35
- "kl": 0.001327126282073247,
36
  "learning_rate": 4.864543104251586e-07,
37
  "loss": 0.0,
38
- "reward": 2.3633016645908356,
39
- "reward_std": 0.722859085459883,
40
- "rewards/concensus_correctness_reward_func": 0.4736666629711787,
41
- "rewards/consensus_reward_func": 0.5,
42
  "rewards/cumulative_reward_2": 0.0,
43
- "rewards/final_correctness_reward_func": 0.0,
44
- "rewards/question_recreation_reward_func": 0.49659330933354795,
45
  "rewards/soft_format_reward_func": 0.0,
46
- "rewards/strict_format_reward_func": 0.0,
47
- "rewards/xmlcount_reward_func": 0.8930416852235794,
48
  "step": 4
49
  },
50
  {
51
- "completion_length": 293.125,
52
- "epoch": 1.5714285714285714,
53
- "grad_norm": 6.781271934509277,
54
- "kl": 0.004252150494721718,
55
  "learning_rate": 4.472851273490984e-07,
56
  "loss": 0.0,
57
- "reward": 2.769148699939251,
58
- "reward_std": 0.910884540528059,
59
- "rewards/concensus_correctness_reward_func": 0.6645000018179417,
60
- "rewards/consensus_reward_func": 0.8125,
61
  "rewards/cumulative_reward_2": 0.0,
62
- "rewards/final_correctness_reward_func": 0.0,
63
- "rewards/question_recreation_reward_func": 0.5405236706137657,
64
  "rewards/soft_format_reward_func": 0.0,
65
- "rewards/strict_format_reward_func": 0.0,
66
- "rewards/xmlcount_reward_func": 0.7516250051558018,
67
  "step": 6
68
  },
69
  {
70
- "completion_length": 423.9583333333333,
71
- "epoch": 2.0,
72
- "grad_norm": 3.4789960384368896,
73
- "kl": 0.0026184429346661395,
74
  "learning_rate": 3.867370395306068e-07,
75
  "loss": 0.0,
76
- "reward": 2.372594674428304,
77
- "reward_std": 1.0563052495320637,
78
- "rewards/concensus_correctness_reward_func": 0.3671666607260704,
79
- "rewards/consensus_reward_func": 0.6666666666666666,
80
  "rewards/cumulative_reward_2": 0.0,
81
  "rewards/final_correctness_reward_func": 0.0,
82
- "rewards/question_recreation_reward_func": 0.6337196112920841,
83
  "rewards/soft_format_reward_func": 0.0,
84
- "rewards/strict_format_reward_func": 0.0,
85
- "rewards/xmlcount_reward_func": 0.7050416593750318,
86
  "step": 8
87
  },
88
  {
89
- "completion_length": 279.96875,
90
- "epoch": 2.571428571428571,
91
- "grad_norm": 7.827857494354248,
92
- "kl": 0.016727088644984178,
93
  "learning_rate": 3.1137137178519977e-07,
94
  "loss": 0.0,
95
- "reward": 2.6220436356961727,
96
- "reward_std": 1.3839910216629505,
97
- "rewards/concensus_correctness_reward_func": 0.4554375000298023,
98
- "rewards/consensus_reward_func": 0.75,
99
  "rewards/cumulative_reward_2": 0.0,
100
  "rewards/final_correctness_reward_func": 0.0,
101
- "rewards/question_recreation_reward_func": 0.4946998809464276,
102
  "rewards/soft_format_reward_func": 0.0,
103
- "rewards/strict_format_reward_func": 0.015625,
104
- "rewards/xmlcount_reward_func": 0.906281266361475,
105
  "step": 10
106
  },
107
  {
108
- "completion_length": 269.5,
109
- "epoch": 3.0,
110
- "grad_norm": 3.278268337249756,
111
- "kl": 0.009888109013748666,
112
  "learning_rate": 2.2935516363191693e-07,
113
  "loss": 0.0,
114
- "reward": 2.2351842870314917,
115
- "reward_std": 0.7502500675618649,
116
- "rewards/concensus_correctness_reward_func": 0.32758333285649616,
117
- "rewards/consensus_reward_func": 0.4166666666666667,
118
  "rewards/cumulative_reward_2": 0.0,
119
  "rewards/final_correctness_reward_func": 0.0,
120
- "rewards/question_recreation_reward_func": 0.5956842492644986,
121
  "rewards/soft_format_reward_func": 0.0,
122
- "rewards/strict_format_reward_func": 0.020833333333333332,
123
- "rewards/xmlcount_reward_func": 0.8744166692097982,
124
  "step": 12
125
  },
126
  {
127
- "completion_length": 307.875,
128
- "epoch": 3.571428571428571,
129
- "grad_norm": 5.234099388122559,
130
- "kl": 0.009493237361311913,
131
  "learning_rate": 1.4957614383675767e-07,
132
  "loss": 0.0,
133
- "reward": 2.608593128621578,
134
- "reward_std": 1.3945186883211136,
135
- "rewards/concensus_correctness_reward_func": 0.43618750013411045,
136
- "rewards/consensus_reward_func": 0.5625,
137
  "rewards/cumulative_reward_2": 0.0,
138
  "rewards/final_correctness_reward_func": 0.0,
139
- "rewards/question_recreation_reward_func": 0.6657494021928869,
140
  "rewards/soft_format_reward_func": 0.0,
141
- "rewards/strict_format_reward_func": 0.03125,
142
- "rewards/xmlcount_reward_func": 0.9129062667489052,
143
  "step": 14
144
  },
145
  {
146
- "completion_length": 242.375,
147
- "epoch": 4.0,
148
- "grad_norm": 15.057260513305664,
149
- "kl": 0.24116371832011887,
150
  "learning_rate": 8.067960709356478e-08,
151
- "loss": 0.0002,
152
- "reward": 2.993508279323578,
153
- "reward_std": 0.7649101791903377,
154
- "rewards/concensus_correctness_reward_func": 0.6969999919335047,
155
- "rewards/consensus_reward_func": 1.0,
156
  "rewards/cumulative_reward_2": 0.0,
157
- "rewards/final_correctness_reward_func": 0.0,
158
- "rewards/question_recreation_reward_func": 0.48246658593416214,
159
  "rewards/soft_format_reward_func": 0.0,
160
  "rewards/strict_format_reward_func": 0.0,
161
- "rewards/xmlcount_reward_func": 0.8140416815876961,
162
  "step": 16
163
  },
164
  {
165
- "completion_length": 272.3125,
166
- "epoch": 4.571428571428571,
167
- "grad_norm": 7.568920612335205,
168
- "kl": 0.015125435777008533,
169
  "learning_rate": 3.013156219837776e-08,
170
  "loss": 0.0,
171
- "reward": 2.294464409351349,
172
- "reward_std": 0.6057919536251575,
173
- "rewards/concensus_correctness_reward_func": 0.2955624982714653,
174
- "rewards/consensus_reward_func": 0.5,
175
  "rewards/cumulative_reward_2": 0.0,
176
- "rewards/final_correctness_reward_func": 0.0,
177
- "rewards/question_recreation_reward_func": 0.5682144520105794,
178
  "rewards/soft_format_reward_func": 0.0,
179
  "rewards/strict_format_reward_func": 0.015625,
180
- "rewards/xmlcount_reward_func": 0.9150625020265579,
181
  "step": 18
182
  },
183
  {
184
- "completion_length": 286.2083333333333,
185
- "epoch": 5.0,
186
- "grad_norm": 7.497201442718506,
187
- "kl": 0.05743966482502098,
188
  "learning_rate": 3.4096741493194193e-09,
189
  "loss": 0.0,
190
- "reward": 2.476698577404022,
191
- "reward_std": 1.642265244697531,
192
- "rewards/concensus_correctness_reward_func": 0.4688333297769229,
193
- "rewards/consensus_reward_func": 0.6666666666666666,
194
  "rewards/cumulative_reward_2": 0.0,
195
  "rewards/final_correctness_reward_func": 0.0,
196
- "rewards/question_recreation_reward_func": 0.575615248332421,
197
  "rewards/soft_format_reward_func": 0.0,
198
- "rewards/strict_format_reward_func": 0.0,
199
- "rewards/xmlcount_reward_func": 0.765583356221517,
200
  "step": 20
201
  },
202
  {
203
- "epoch": 5.0,
204
  "step": 20,
205
  "total_flos": 0.0,
206
- "train_loss": 2.8217583894729616e-05,
207
- "train_runtime": 239.7783,
208
- "train_samples_per_second": 1.335,
209
- "train_steps_per_second": 0.083
210
  }
211
  ],
212
  "logging_steps": 2,
213
  "max_steps": 20,
214
  "num_input_tokens_seen": 0,
215
- "num_train_epochs": 7,
216
  "save_steps": 25,
217
  "stateful_callbacks": {
218
  "TrainerControl": {
@@ -227,7 +227,7 @@
227
  }
228
  },
229
  "total_flos": 0.0,
230
- "train_batch_size": 2,
231
  "trial_name": null,
232
  "trial_params": null
233
  }
 
2
  "best_global_step": null,
3
  "best_metric": null,
4
  "best_model_checkpoint": null,
5
+ "epoch": 0.8,
6
  "eval_steps": 500,
7
  "global_step": 20,
8
  "is_hyper_param_search": false,
 
10
  "is_world_process_zero": true,
11
  "log_history": [
12
  {
13
+ "completion_length": 524.6875,
14
+ "epoch": 0.08,
15
+ "grad_norm": 0.3149994909763336,
16
+ "kl": 0.0007895925155025907,
17
  "learning_rate": 5e-07,
18
+ "loss": 0.0,
19
+ "reward": 0.84690111130476,
20
+ "reward_std": 0.6340070366859436,
21
+ "rewards/concensus_correctness_reward_func": 0.0,
22
+ "rewards/consensus_reward_func": 0.0,
23
  "rewards/cumulative_reward_2": 0.0,
24
  "rewards/final_correctness_reward_func": 0.0,
25
+ "rewards/question_recreation_reward_func": 0.3991198819130659,
26
  "rewards/soft_format_reward_func": 0.0,
27
  "rewards/strict_format_reward_func": 0.0,
28
+ "rewards/xmlcount_reward_func": 0.44778124429285526,
29
  "step": 2
30
  },
31
  {
32
+ "completion_length": 287.40625,
33
+ "epoch": 0.16,
34
+ "grad_norm": 0.8252567648887634,
35
+ "kl": 0.0008640004525659606,
36
  "learning_rate": 4.864543104251586e-07,
37
  "loss": 0.0,
38
+ "reward": 1.479073416441679,
39
+ "reward_std": 1.898745086044073,
40
+ "rewards/concensus_correctness_reward_func": 0.625,
41
+ "rewards/consensus_reward_func": 0.0,
42
  "rewards/cumulative_reward_2": 0.0,
43
+ "rewards/final_correctness_reward_func": 0.125,
44
+ "rewards/question_recreation_reward_func": 0.4101983695290983,
45
  "rewards/soft_format_reward_func": 0.0,
46
+ "rewards/strict_format_reward_func": 0.015625,
47
+ "rewards/xmlcount_reward_func": 0.30324999522417784,
48
  "step": 4
49
  },
50
  {
51
+ "completion_length": 512.71875,
52
+ "epoch": 0.24,
53
+ "grad_norm": 0.46688419580459595,
54
+ "kl": 0.000702431112586055,
55
  "learning_rate": 4.472851273490984e-07,
56
  "loss": 0.0,
57
+ "reward": 1.4388332553207874,
58
+ "reward_std": 1.226584866642952,
59
+ "rewards/concensus_correctness_reward_func": 0.15937500074505806,
60
+ "rewards/consensus_reward_func": 0.1875,
61
  "rewards/cumulative_reward_2": 0.0,
62
+ "rewards/final_correctness_reward_func": 0.1875,
63
+ "rewards/question_recreation_reward_func": 0.5340207722038031,
64
  "rewards/soft_format_reward_func": 0.0,
65
+ "rewards/strict_format_reward_func": 0.015625,
66
+ "rewards/xmlcount_reward_func": 0.3548125009983778,
67
  "step": 6
68
  },
69
  {
70
+ "completion_length": 418.65625,
71
+ "epoch": 0.32,
72
+ "grad_norm": 0.518238365650177,
73
+ "kl": 0.0008219250739784911,
74
  "learning_rate": 3.867370395306068e-07,
75
  "loss": 0.0,
76
+ "reward": 0.9953836053609848,
77
+ "reward_std": 0.8189685866236687,
78
+ "rewards/concensus_correctness_reward_func": 0.015375000424683094,
79
+ "rewards/consensus_reward_func": 0.125,
80
  "rewards/cumulative_reward_2": 0.0,
81
  "rewards/final_correctness_reward_func": 0.0,
82
+ "rewards/question_recreation_reward_func": 0.5274773649871349,
83
  "rewards/soft_format_reward_func": 0.0,
84
+ "rewards/strict_format_reward_func": 0.015625,
85
+ "rewards/xmlcount_reward_func": 0.31190625159069896,
86
  "step": 8
87
  },
88
  {
89
+ "completion_length": 444.59375,
90
+ "epoch": 0.4,
91
+ "grad_norm": 8.409585952758789,
92
+ "kl": 0.0009162062997347675,
93
  "learning_rate": 3.1137137178519977e-07,
94
  "loss": 0.0,
95
+ "reward": 1.1158432438969612,
96
+ "reward_std": 0.6383559834212065,
97
+ "rewards/concensus_correctness_reward_func": 0.0,
98
+ "rewards/consensus_reward_func": 0.0,
99
  "rewards/cumulative_reward_2": 0.0,
100
  "rewards/final_correctness_reward_func": 0.0,
101
+ "rewards/question_recreation_reward_func": 0.608686987310648,
102
  "rewards/soft_format_reward_func": 0.0,
103
+ "rewards/strict_format_reward_func": 0.03125,
104
+ "rewards/xmlcount_reward_func": 0.47590626776218414,
105
  "step": 10
106
  },
107
  {
108
+ "completion_length": 495.53125,
109
+ "epoch": 0.48,
110
+ "grad_norm": 0.519533634185791,
111
+ "kl": 0.0007467774557881057,
112
  "learning_rate": 2.2935516363191693e-07,
113
  "loss": 0.0,
114
+ "reward": 0.7604115232825279,
115
+ "reward_std": 1.1575603373348713,
116
+ "rewards/concensus_correctness_reward_func": 0.06250000093132257,
117
+ "rewards/consensus_reward_func": 0.125,
118
  "rewards/cumulative_reward_2": 0.0,
119
  "rewards/final_correctness_reward_func": 0.0,
120
+ "rewards/question_recreation_reward_func": 0.31769278924912214,
121
  "rewards/soft_format_reward_func": 0.0,
122
+ "rewards/strict_format_reward_func": 0.0,
123
+ "rewards/xmlcount_reward_func": 0.2552187405526638,
124
  "step": 12
125
  },
126
  {
127
+ "completion_length": 405.96875,
128
+ "epoch": 0.56,
129
+ "grad_norm": 0.505827009677887,
130
+ "kl": 0.0008590476791141555,
131
  "learning_rate": 1.4957614383675767e-07,
132
  "loss": 0.0,
133
+ "reward": 0.7179178791120648,
134
+ "reward_std": 0.6347920149564743,
135
+ "rewards/concensus_correctness_reward_func": 0.0,
136
+ "rewards/consensus_reward_func": 0.0,
137
  "rewards/cumulative_reward_2": 0.0,
138
  "rewards/final_correctness_reward_func": 0.0,
139
+ "rewards/question_recreation_reward_func": 0.39654287649318576,
140
  "rewards/soft_format_reward_func": 0.0,
141
+ "rewards/strict_format_reward_func": 0.0,
142
+ "rewards/xmlcount_reward_func": 0.32137500308454037,
143
  "step": 14
144
  },
145
  {
146
+ "completion_length": 381.40625,
147
+ "epoch": 0.64,
148
+ "grad_norm": 0.48140671849250793,
149
+ "kl": 0.0009308884182246402,
150
  "learning_rate": 8.067960709356478e-08,
151
+ "loss": 0.0,
152
+ "reward": 0.6811805851757526,
153
+ "reward_std": 0.7240518294274807,
154
+ "rewards/concensus_correctness_reward_func": 0.0,
155
+ "rewards/consensus_reward_func": 0.0,
156
  "rewards/cumulative_reward_2": 0.0,
157
+ "rewards/final_correctness_reward_func": 0.0625,
158
+ "rewards/question_recreation_reward_func": 0.4305868395604193,
159
  "rewards/soft_format_reward_func": 0.0,
160
  "rewards/strict_format_reward_func": 0.0,
161
+ "rewards/xmlcount_reward_func": 0.1880937460809946,
162
  "step": 16
163
  },
164
  {
165
+ "completion_length": 433.0,
166
+ "epoch": 0.72,
167
+ "grad_norm": 0.6308753490447998,
168
+ "kl": 0.0016986687787721166,
169
  "learning_rate": 3.013156219837776e-08,
170
  "loss": 0.0,
171
+ "reward": 0.8262888127937913,
172
+ "reward_std": 0.982679390348494,
173
+ "rewards/concensus_correctness_reward_func": 0.046875,
174
+ "rewards/consensus_reward_func": 0.0625,
175
  "rewards/cumulative_reward_2": 0.0,
176
+ "rewards/final_correctness_reward_func": 0.0625,
177
+ "rewards/question_recreation_reward_func": 0.40941380662843585,
178
  "rewards/soft_format_reward_func": 0.0,
179
  "rewards/strict_format_reward_func": 0.015625,
180
+ "rewards/xmlcount_reward_func": 0.22937500104308128,
181
  "step": 18
182
  },
183
  {
184
+ "completion_length": 361.0625,
185
+ "epoch": 0.8,
186
+ "grad_norm": 0.5240185260772705,
187
+ "kl": 0.0009001127618830651,
188
  "learning_rate": 3.4096741493194193e-09,
189
  "loss": 0.0,
190
+ "reward": 0.9645268190652132,
191
+ "reward_std": 0.9338240548968315,
192
+ "rewards/concensus_correctness_reward_func": 0.0,
193
+ "rewards/consensus_reward_func": 0.1875,
194
  "rewards/cumulative_reward_2": 0.0,
195
  "rewards/final_correctness_reward_func": 0.0,
196
+ "rewards/question_recreation_reward_func": 0.5564955612644553,
197
  "rewards/soft_format_reward_func": 0.0,
198
+ "rewards/strict_format_reward_func": 0.046875,
199
+ "rewards/xmlcount_reward_func": 0.17365624755620956,
200
  "step": 20
201
  },
202
  {
203
+ "epoch": 0.8,
204
  "step": 20,
205
  "total_flos": 0.0,
206
+ "train_loss": 9.213837813604187e-07,
207
+ "train_runtime": 1717.4399,
208
+ "train_samples_per_second": 0.186,
209
+ "train_steps_per_second": 0.012
210
  }
211
  ],
212
  "logging_steps": 2,
213
  "max_steps": 20,
214
  "num_input_tokens_seen": 0,
215
+ "num_train_epochs": 1,
216
  "save_steps": 25,
217
  "stateful_callbacks": {
218
  "TrainerControl": {
 
227
  }
228
  },
229
  "total_flos": 0.0,
230
+ "train_batch_size": 4,
231
  "trial_name": null,
232
  "trial_params": null
233
  }
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:3251af780e0893dd4521bf369e38701ef4125d1aeb4c2629271e51163d90dc04
3
- size 5880
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f9ba06b2ade5d86911b1b41a561f92e1e70c845897ea140bf725499a57c21075
3
+ size 5944