tatsusal commited on
Commit
dc2d2f2
·
verified ·
1 Parent(s): cd5ad53

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-foraging_peckish_badger
5
  tags:
@@ -8,13 +8,14 @@ tags:
8
  - grpo
9
  - gensyn
10
  - I am foraging peckish badger
 
11
  - trl
12
  licence: license
13
  ---
14
 
15
  # Model Card for gensyn-checkpoints-foraging_peckish_badger
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-foraging_peckish_badger
5
  tags:
 
8
  - grpo
9
  - gensyn
10
  - I am foraging peckish badger
11
+ - unsloth
12
  - trl
13
  licence: license
14
  ---
15
 
16
  # Model Card for gensyn-checkpoints-foraging_peckish_badger
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
+ "o_proj",
28
+ "v_proj",
29
+ "k_proj",
30
+ "gate_proj",
31
+ "q_proj",
32
+ "up_proj",
33
+ "down_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 sha256:5d6be4da6a225c5853f48a2b05a842edd76c4992730b4939a11c785ceada5ef7
3
+ size 73911112
all_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "total_flos": 0.0,
3
- "train_loss": 2.2105872631072997e-06,
4
- "train_runtime": 1082.617,
5
- "train_samples": 28,
6
- "train_samples_per_second": 0.296,
7
- "train_steps_per_second": 0.018
8
  }
 
1
  {
2
  "total_flos": 0.0,
3
+ "train_loss": 7.820151040505152e-07,
4
+ "train_runtime": 937.272,
5
+ "train_samples": 11,
6
+ "train_samples_per_second": 0.341,
7
+ "train_steps_per_second": 0.021
8
  }
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
  "total_flos": 0.0,
3
- "train_loss": 2.2105872631072997e-06,
4
- "train_runtime": 1082.617,
5
- "train_samples": 28,
6
- "train_samples_per_second": 0.296,
7
- "train_steps_per_second": 0.018
8
  }
 
1
  {
2
  "total_flos": 0.0,
3
+ "train_loss": 7.820151040505152e-07,
4
+ "train_runtime": 937.272,
5
+ "train_samples": 11,
6
+ "train_samples_per_second": 0.341,
7
+ "train_steps_per_second": 0.021
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": 435.78125,
14
- "epoch": 0.5714285714285714,
15
- "grad_norm": 5.068814754486084,
16
- "kl": 0.0,
17
  "learning_rate": 5e-07,
18
- "loss": -0.0,
19
- "reward": 0.19804235943593085,
20
- "reward_std": 0.8535868365433998,
21
  "rewards/concensus_correctness_reward_func": 0.0,
22
- "rewards/consensus_reward_func": 0.0625,
23
  "rewards/cumulative_reward_2": 0.0,
24
  "rewards/final_correctness_reward_func": 0.0,
25
- "rewards/question_recreation_reward_func": 0.2692611172096804,
26
  "rewards/soft_format_reward_func": 0.0,
27
  "rewards/strict_format_reward_func": 0.0,
28
- "rewards/xmlcount_reward_func": -0.1337187523022294,
29
  "step": 2
30
  },
31
  {
32
- "completion_length": 355.4583333333333,
33
- "epoch": 1.0,
34
- "grad_norm": 2.809861898422241,
35
- "kl": 0.0009269307289893428,
36
  "learning_rate": 4.864543104251586e-07,
37
  "loss": 0.0,
38
- "reward": 0.7621200631062189,
39
- "reward_std": 0.6857940470799804,
40
- "rewards/concensus_correctness_reward_func": 0.03125,
41
- "rewards/consensus_reward_func": 0.0,
42
  "rewards/cumulative_reward_2": 0.0,
43
- "rewards/final_correctness_reward_func": 0.08333333333333333,
44
- "rewards/question_recreation_reward_func": 0.3884950599943598,
45
  "rewards/soft_format_reward_func": 0.0,
46
- "rewards/strict_format_reward_func": 0.0,
47
- "rewards/xmlcount_reward_func": 0.2590416657427947,
48
  "step": 4
49
  },
50
  {
51
- "completion_length": 509.0625,
52
- "epoch": 1.5714285714285714,
53
- "grad_norm": 5.338972091674805,
54
- "kl": 0.0013124001307005528,
55
  "learning_rate": 4.472851273490984e-07,
56
  "loss": 0.0,
57
- "reward": 0.5905632148496807,
58
- "reward_std": 0.6783959390595555,
59
  "rewards/concensus_correctness_reward_func": 0.0,
60
- "rewards/consensus_reward_func": 0.0625,
61
  "rewards/cumulative_reward_2": 0.0,
62
- "rewards/final_correctness_reward_func": 0.0,
63
- "rewards/question_recreation_reward_func": 0.38218822481576353,
64
  "rewards/soft_format_reward_func": 0.0,
65
  "rewards/strict_format_reward_func": 0.0,
66
- "rewards/xmlcount_reward_func": 0.14587499666959047,
67
  "step": 6
68
  },
69
  {
70
- "completion_length": 464.9166666666667,
71
- "epoch": 2.0,
72
- "grad_norm": 2.9061334133148193,
73
- "kl": 0.0018105933850165457,
74
  "learning_rate": 3.867370395306068e-07,
75
  "loss": 0.0,
76
- "reward": 1.1275611594319344,
77
- "reward_std": 0.5520922769792378,
78
- "rewards/concensus_correctness_reward_func": 0.03566666692495346,
79
- "rewards/consensus_reward_func": 0.16666666666666666,
80
  "rewards/cumulative_reward_2": 0.0,
81
- "rewards/final_correctness_reward_func": 0.16666666666666666,
82
- "rewards/question_recreation_reward_func": 0.4374361379692952,
83
  "rewards/soft_format_reward_func": 0.0,
84
- "rewards/strict_format_reward_func": 0.0,
85
- "rewards/xmlcount_reward_func": 0.32112500071525574,
86
  "step": 8
87
  },
88
  {
89
- "completion_length": 443.6875,
90
- "epoch": 2.571428571428571,
91
- "grad_norm": 4.246496677398682,
92
- "kl": 0.0023866116971476004,
93
  "learning_rate": 3.1137137178519977e-07,
94
  "loss": 0.0,
95
- "reward": 0.539751447737217,
96
- "reward_std": 0.8232741246465594,
97
- "rewards/concensus_correctness_reward_func": 0.030249999836087227,
98
- "rewards/consensus_reward_func": 0.0625,
99
  "rewards/cumulative_reward_2": 0.0,
100
  "rewards/final_correctness_reward_func": 0.0,
101
- "rewards/question_recreation_reward_func": 0.34272021567448974,
102
  "rewards/soft_format_reward_func": 0.0,
103
- "rewards/strict_format_reward_func": 0.015625,
104
- "rewards/xmlcount_reward_func": 0.08865625702310354,
105
  "step": 10
106
  },
107
  {
108
- "completion_length": 354.7083333333333,
109
- "epoch": 3.0,
110
- "grad_norm": 5.332976818084717,
111
- "kl": 0.0030408767488552257,
112
  "learning_rate": 2.2935516363191693e-07,
113
  "loss": 0.0,
114
- "reward": 0.91666238134106,
115
- "reward_std": 0.602380842436105,
116
- "rewards/concensus_correctness_reward_func": 0.15333333611488342,
117
- "rewards/consensus_reward_func": 0.08333333333333333,
118
  "rewards/cumulative_reward_2": 0.0,
119
- "rewards/final_correctness_reward_func": 0.25,
120
- "rewards/question_recreation_reward_func": 0.32712074120839435,
121
  "rewards/soft_format_reward_func": 0.0,
122
  "rewards/strict_format_reward_func": 0.0,
123
- "rewards/xmlcount_reward_func": 0.10287499862412612,
124
  "step": 12
125
  },
126
  {
127
- "completion_length": 505.3125,
128
- "epoch": 3.571428571428571,
129
- "grad_norm": 3.084214687347412,
130
- "kl": 0.0029202045043348335,
131
  "learning_rate": 1.4957614383675767e-07,
132
  "loss": 0.0,
133
- "reward": 0.5424395808950067,
134
- "reward_std": 0.7874002328608185,
135
- "rewards/concensus_correctness_reward_func": 0.0078125,
136
- "rewards/consensus_reward_func": 0.0,
137
  "rewards/cumulative_reward_2": 0.0,
138
- "rewards/final_correctness_reward_func": 0.0625,
139
- "rewards/question_recreation_reward_func": 0.3602208390366286,
140
- "rewards/soft_format_reward_func": 0.0,
141
- "rewards/strict_format_reward_func": 0.0,
142
- "rewards/xmlcount_reward_func": 0.11190625419840217,
143
  "step": 14
144
  },
145
  {
146
- "completion_length": 433.375,
147
- "epoch": 4.0,
148
- "grad_norm": 3.453960657119751,
149
- "kl": 0.00320227052240322,
150
  "learning_rate": 8.067960709356478e-08,
151
  "loss": 0.0,
152
- "reward": 0.29166297893971205,
153
- "reward_std": 0.4712665615370497,
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": 0.0,
158
- "rewards/question_recreation_reward_func": 0.28437130618840456,
159
  "rewards/soft_format_reward_func": 0.0,
160
  "rewards/strict_format_reward_func": 0.0,
161
- "rewards/xmlcount_reward_func": 0.0072916727513074875,
162
  "step": 16
163
  },
164
  {
165
- "completion_length": 384.21875,
166
- "epoch": 4.571428571428571,
167
- "grad_norm": 4.947248935699463,
168
- "kl": 0.005076818481029477,
169
  "learning_rate": 3.013156219837776e-08,
170
  "loss": 0.0,
171
- "reward": 0.7677737702615559,
172
- "reward_std": 0.6437986879027449,
173
- "rewards/concensus_correctness_reward_func": 0.018937500193715096,
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": 0.3506175228394568,
178
  "rewards/soft_format_reward_func": 0.0,
179
  "rewards/strict_format_reward_func": 0.0,
180
- "rewards/xmlcount_reward_func": 0.27321874909102917,
181
  "step": 18
182
  },
183
  {
184
- "completion_length": 427.125,
185
- "epoch": 5.0,
186
- "grad_norm": 2.5313291549682617,
187
- "kl": 0.005946058634435758,
188
  "learning_rate": 3.4096741493194193e-09,
189
  "loss": 0.0,
190
- "reward": 0.733763511137416,
191
- "reward_std": 0.30780596130837995,
192
  "rewards/concensus_correctness_reward_func": 0.0,
193
- "rewards/consensus_reward_func": 0.0,
194
  "rewards/cumulative_reward_2": 0.0,
195
- "rewards/final_correctness_reward_func": 0.08333333333333333,
196
- "rewards/question_recreation_reward_func": 0.30355515765647095,
197
  "rewards/soft_format_reward_func": 0.0,
198
  "rewards/strict_format_reward_func": 0.0,
199
- "rewards/xmlcount_reward_func": 0.34687499950329465,
200
  "step": 20
201
  },
202
  {
203
- "epoch": 5.0,
204
  "step": 20,
205
  "total_flos": 0.0,
206
- "train_loss": 2.2105872631072997e-06,
207
- "train_runtime": 1082.617,
208
- "train_samples_per_second": 0.296,
209
- "train_steps_per_second": 0.018
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": 6.7272727272727275,
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": 386.875,
14
+ "epoch": 0.7272727272727273,
15
+ "grad_norm": 0.648298978805542,
16
+ "kl": 0.0007997459979378618,
17
  "learning_rate": 5e-07,
18
+ "loss": 0.0,
19
+ "reward": 0.9969208752736449,
20
+ "reward_std": 0.7273423410952091,
21
  "rewards/concensus_correctness_reward_func": 0.0,
22
+ "rewards/consensus_reward_func": 0.25,
23
  "rewards/cumulative_reward_2": 0.0,
24
  "rewards/final_correctness_reward_func": 0.0,
25
+ "rewards/question_recreation_reward_func": 0.5391396079212427,
26
  "rewards/soft_format_reward_func": 0.0,
27
  "rewards/strict_format_reward_func": 0.0,
28
+ "rewards/xmlcount_reward_func": 0.20778125058859587,
29
  "step": 2
30
  },
31
  {
32
+ "completion_length": 436.39285714285717,
33
+ "epoch": 1.3636363636363638,
34
+ "grad_norm": 0.6724653840065002,
35
+ "kl": 0.0007738028403504618,
36
  "learning_rate": 4.864543104251586e-07,
37
  "loss": 0.0,
38
+ "reward": 1.0942734948226385,
39
+ "reward_std": 1.222027497632163,
40
+ "rewards/concensus_correctness_reward_func": 0.06107142980077437,
41
+ "rewards/consensus_reward_func": 0.2857142857142857,
42
  "rewards/cumulative_reward_2": 0.0,
43
+ "rewards/final_correctness_reward_func": 0.0,
44
+ "rewards/question_recreation_reward_func": 0.33166637803827015,
45
  "rewards/soft_format_reward_func": 0.0,
46
+ "rewards/strict_format_reward_func": 0.03571428571428571,
47
+ "rewards/xmlcount_reward_func": 0.38010714309556143,
48
  "step": 4
49
  },
50
  {
51
+ "completion_length": 344.32142857142856,
52
+ "epoch": 2.0,
53
+ "grad_norm": 0.5057637691497803,
54
+ "kl": 0.0007551076040337128,
55
  "learning_rate": 4.472851273490984e-07,
56
  "loss": 0.0,
57
+ "reward": 1.660817095211574,
58
+ "reward_std": 0.9632722671542849,
59
  "rewards/concensus_correctness_reward_func": 0.0,
60
+ "rewards/consensus_reward_func": 0.5714285714285714,
61
  "rewards/cumulative_reward_2": 0.0,
62
+ "rewards/final_correctness_reward_func": 0.21428571428571427,
63
+ "rewards/question_recreation_reward_func": 0.5432099550962448,
64
  "rewards/soft_format_reward_func": 0.0,
65
  "rewards/strict_format_reward_func": 0.0,
66
+ "rewards/xmlcount_reward_func": 0.3318928565297808,
67
  "step": 6
68
  },
69
  {
70
+ "completion_length": 398.59375,
71
+ "epoch": 2.7272727272727275,
72
+ "grad_norm": 0.5353056192398071,
73
+ "kl": 0.0007648886203242,
74
  "learning_rate": 3.867370395306068e-07,
75
  "loss": 0.0,
76
+ "reward": 0.9478725977241993,
77
+ "reward_std": 0.8444725926965475,
78
+ "rewards/concensus_correctness_reward_func": 0.0018749999580904841,
79
+ "rewards/consensus_reward_func": 0.125,
80
  "rewards/cumulative_reward_2": 0.0,
81
+ "rewards/final_correctness_reward_func": 0.0625,
82
+ "rewards/question_recreation_reward_func": 0.48312261048704386,
83
  "rewards/soft_format_reward_func": 0.0,
84
+ "rewards/strict_format_reward_func": 0.015625,
85
+ "rewards/xmlcount_reward_func": 0.259750007186085,
86
  "step": 8
87
  },
88
  {
89
+ "completion_length": 484.85714285714283,
90
+ "epoch": 3.3636363636363638,
91
+ "grad_norm": 0.27738702297210693,
92
+ "kl": 0.0006770965826165463,
93
  "learning_rate": 3.1137137178519977e-07,
94
  "loss": 0.0,
95
+ "reward": 0.8648012195314679,
96
+ "reward_std": 1.1064413019589014,
97
+ "rewards/concensus_correctness_reward_func": 0.041214285152299066,
98
+ "rewards/consensus_reward_func": 0.35714285714285715,
99
  "rewards/cumulative_reward_2": 0.0,
100
  "rewards/final_correctness_reward_func": 0.0,
101
+ "rewards/question_recreation_reward_func": 0.34233695907252176,
102
  "rewards/soft_format_reward_func": 0.0,
103
+ "rewards/strict_format_reward_func": 0.017857142857142856,
104
+ "rewards/xmlcount_reward_func": 0.10624998382159642,
105
  "step": 10
106
  },
107
  {
108
+ "completion_length": 329.35714285714283,
109
+ "epoch": 4.0,
110
+ "grad_norm": 0.3826559782028198,
111
+ "kl": 0.0006940006112147655,
112
  "learning_rate": 2.2935516363191693e-07,
113
  "loss": 0.0,
114
+ "reward": 1.6527051712785448,
115
+ "reward_std": 0.8527378227029528,
116
+ "rewards/concensus_correctness_reward_func": 0.04071428520338876,
117
+ "rewards/consensus_reward_func": 0.2857142857142857,
118
  "rewards/cumulative_reward_2": 0.0,
119
+ "rewards/final_correctness_reward_func": 0.21428571428571427,
120
+ "rewards/question_recreation_reward_func": 0.6211337234292712,
121
  "rewards/soft_format_reward_func": 0.0,
122
  "rewards/strict_format_reward_func": 0.0,
123
+ "rewards/xmlcount_reward_func": 0.4908571371010372,
124
  "step": 12
125
  },
126
  {
127
+ "completion_length": 374.46875,
128
+ "epoch": 4.7272727272727275,
129
+ "grad_norm": 0.5625499486923218,
130
+ "kl": 0.000772401788708521,
131
  "learning_rate": 1.4957614383675767e-07,
132
  "loss": 0.0,
133
+ "reward": 1.1694097146391869,
134
+ "reward_std": 0.8063520211726427,
135
+ "rewards/concensus_correctness_reward_func": 0.0,
136
+ "rewards/consensus_reward_func": 0.5,
137
  "rewards/cumulative_reward_2": 0.0,
138
+ "rewards/final_correctness_reward_func": 0.0,
139
+ "rewards/question_recreation_reward_func": 0.4131596917286515,
140
+ "rewards/soft_format_reward_func": 0.015625,
141
+ "rewards/strict_format_reward_func": 0.03125,
142
+ "rewards/xmlcount_reward_func": 0.20937499403953552,
143
  "step": 14
144
  },
145
  {
146
+ "completion_length": 388.89285714285717,
147
+ "epoch": 5.363636363636363,
148
+ "grad_norm": 0.5131890177726746,
149
+ "kl": 0.0006978282887887742,
150
  "learning_rate": 8.067960709356478e-08,
151
  "loss": 0.0,
152
+ "reward": 1.5317158954484122,
153
+ "reward_std": 0.7606781870126724,
154
+ "rewards/concensus_correctness_reward_func": 0.019642857568604604,
155
+ "rewards/consensus_reward_func": 0.5714285714285714,
156
  "rewards/cumulative_reward_2": 0.0,
157
+ "rewards/final_correctness_reward_func": 0.21428571428571427,
158
+ "rewards/question_recreation_reward_func": 0.5711087456771305,
159
  "rewards/soft_format_reward_func": 0.0,
160
  "rewards/strict_format_reward_func": 0.0,
161
+ "rewards/xmlcount_reward_func": 0.1552500096814973,
162
  "step": 16
163
  },
164
  {
165
+ "completion_length": 369.35714285714283,
166
+ "epoch": 6.0,
167
+ "grad_norm": 16.381929397583008,
168
+ "kl": 0.0011041910287791065,
169
  "learning_rate": 3.013156219837776e-08,
170
  "loss": 0.0,
171
+ "reward": 0.9362205990723201,
172
+ "reward_std": 0.9797024769442422,
173
+ "rewards/concensus_correctness_reward_func": 0.041214285152299066,
174
+ "rewards/consensus_reward_func": 0.21428571428571427,
175
  "rewards/cumulative_reward_2": 0.0,
176
+ "rewards/final_correctness_reward_func": 0.0,
177
+ "rewards/question_recreation_reward_func": 0.5888991824218205,
178
  "rewards/soft_format_reward_func": 0.0,
179
  "rewards/strict_format_reward_func": 0.0,
180
+ "rewards/xmlcount_reward_func": 0.09182142785617284,
181
  "step": 18
182
  },
183
  {
184
+ "completion_length": 499.78125,
185
+ "epoch": 6.7272727272727275,
186
+ "grad_norm": 1.6484057903289795,
187
+ "kl": 0.001340657730906969,
188
  "learning_rate": 3.4096741493194193e-09,
189
  "loss": 0.0,
190
+ "reward": 0.7778393775224686,
191
+ "reward_std": 0.9814196899533272,
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": 0.1875,
196
+ "rewards/question_recreation_reward_func": 0.43299564626067877,
197
  "rewards/soft_format_reward_func": 0.0,
198
  "rewards/strict_format_reward_func": 0.0,
199
+ "rewards/xmlcount_reward_func": -0.030156243592500687,
200
  "step": 20
201
  },
202
  {
203
+ "epoch": 6.7272727272727275,
204
  "step": 20,
205
  "total_flos": 0.0,
206
+ "train_loss": 7.820151040505152e-07,
207
+ "train_runtime": 937.272,
208
+ "train_samples_per_second": 0.341,
209
+ "train_steps_per_second": 0.021
210
  }
211
  ],
212
  "logging_steps": 2,
213
  "max_steps": 20,
214
  "num_input_tokens_seen": 0,
215
+ "num_train_epochs": 10,
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 sha256:3a7044348908e734b8fa79e26a88bf7a2ae8986c187a4c087c49cce6ad5559ff
3
- size 5880
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dc867c7007b12b6e82917a571df9cdf12c2d3043e8b1b2b7e628f9dc4e2fecdf
3
+ size 5944