Farouk commited on
Commit
1f21e21
·
1 Parent(s): 2943a96

Training in progress, step 200

Browse files
adapter_config.json CHANGED
@@ -14,13 +14,13 @@
14
  "r": 64,
15
  "revision": null,
16
  "target_modules": [
 
17
  "q_proj",
18
- "o_proj",
19
  "v_proj",
20
- "gate_proj",
21
- "down_proj",
22
  "k_proj",
23
- "up_proj"
24
  ],
25
  "task_type": "CAUSAL_LM"
26
  }
 
14
  "r": 64,
15
  "revision": null,
16
  "target_modules": [
17
+ "down_proj",
18
  "q_proj",
19
+ "up_proj",
20
  "v_proj",
21
+ "o_proj",
 
22
  "k_proj",
23
+ "gate_proj"
24
  ],
25
  "task_type": "CAUSAL_LM"
26
  }
adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:63c05fd4f91c9a5fc0ae6e49bbe471f127fe0d6cbcd4af84d5281b33686d9d9f
3
  size 319977229
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ba29820f50a3aef4023bffc431908968574c18b0a0ef0d61ad48f7f7cb4bebf0
3
  size 319977229
checkpoint-200/README.md CHANGED
@@ -4,6 +4,17 @@ library_name: peft
4
  ## Training procedure
5
 
6
 
 
 
 
 
 
 
 
 
 
 
 
7
  The following `bitsandbytes` quantization config was used during training:
8
  - load_in_8bit: False
9
  - load_in_4bit: True
@@ -16,5 +27,6 @@ The following `bitsandbytes` quantization config was used during training:
16
  - bnb_4bit_compute_dtype: bfloat16
17
  ### Framework versions
18
 
 
19
 
20
  - PEFT 0.4.0
 
4
  ## Training procedure
5
 
6
 
7
+ The following `bitsandbytes` quantization config was used during training:
8
+ - load_in_8bit: False
9
+ - load_in_4bit: True
10
+ - llm_int8_threshold: 6.0
11
+ - llm_int8_skip_modules: None
12
+ - llm_int8_enable_fp32_cpu_offload: False
13
+ - llm_int8_has_fp16_weight: False
14
+ - bnb_4bit_quant_type: nf4
15
+ - bnb_4bit_use_double_quant: True
16
+ - bnb_4bit_compute_dtype: bfloat16
17
+
18
  The following `bitsandbytes` quantization config was used during training:
19
  - load_in_8bit: False
20
  - load_in_4bit: True
 
27
  - bnb_4bit_compute_dtype: bfloat16
28
  ### Framework versions
29
 
30
+ - PEFT 0.4.0
31
 
32
  - PEFT 0.4.0
checkpoint-200/adapter_config.json CHANGED
@@ -14,13 +14,13 @@
14
  "r": 64,
15
  "revision": null,
16
  "target_modules": [
 
17
  "q_proj",
18
- "o_proj",
19
  "v_proj",
20
- "gate_proj",
21
- "down_proj",
22
  "k_proj",
23
- "up_proj"
24
  ],
25
  "task_type": "CAUSAL_LM"
26
  }
 
14
  "r": 64,
15
  "revision": null,
16
  "target_modules": [
17
+ "down_proj",
18
  "q_proj",
19
+ "up_proj",
20
  "v_proj",
21
+ "o_proj",
 
22
  "k_proj",
23
+ "gate_proj"
24
  ],
25
  "task_type": "CAUSAL_LM"
26
  }
checkpoint-200/adapter_model.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:d60fab2d14042a664439da5be95ae94b3e96879568c4f9e0ce36ea3e8ee48832
3
  size 319977229
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ba29820f50a3aef4023bffc431908968574c18b0a0ef0d61ad48f7f7cb4bebf0
3
  size 319977229
checkpoint-200/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:a19f3c58a12fb9be151229dee1b8b1d4b236ec5c88439da3d00c46972c1215d4
3
  size 1279539525
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:380cdceff0ac0eaa9af0178834daf879f98fb6cf73fa80d2d1c23ef8dfbb108c
3
  size 1279539525
checkpoint-200/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:c073aab62c86fb23480339b5babb629b26220dc7e918c39c849768810323c442
3
  size 14511
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6a03047afbbb96f48621a1a7ce89f5a09c0f425c5abeac7bac0a9efd8bf7f5a3
3
  size 14511
checkpoint-200/trainer_state.json CHANGED
@@ -1,7 +1,7 @@
1
  {
2
- "best_metric": 0.8124681711196899,
3
  "best_model_checkpoint": "experts/expert-21/checkpoint-200",
4
- "epoch": 0.07984031936127745,
5
  "global_step": 200,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
@@ -10,161 +10,161 @@
10
  {
11
  "epoch": 0.0,
12
  "learning_rate": 0.0002,
13
- "loss": 0.9029,
14
  "step": 10
15
  },
16
  {
17
- "epoch": 0.01,
18
  "learning_rate": 0.0002,
19
- "loss": 0.8429,
20
  "step": 20
21
  },
22
  {
23
  "epoch": 0.01,
24
  "learning_rate": 0.0002,
25
- "loss": 0.8963,
26
  "step": 30
27
  },
28
  {
29
- "epoch": 0.02,
30
  "learning_rate": 0.0002,
31
- "loss": 0.9288,
32
  "step": 40
33
  },
34
  {
35
- "epoch": 0.02,
36
  "learning_rate": 0.0002,
37
- "loss": 0.8166,
38
  "step": 50
39
  },
40
  {
41
- "epoch": 0.02,
42
  "learning_rate": 0.0002,
43
- "loss": 0.8588,
44
  "step": 60
45
  },
46
  {
47
- "epoch": 0.03,
48
  "learning_rate": 0.0002,
49
- "loss": 0.8676,
50
  "step": 70
51
  },
52
  {
53
- "epoch": 0.03,
54
  "learning_rate": 0.0002,
55
- "loss": 0.8118,
56
  "step": 80
57
  },
58
  {
59
- "epoch": 0.04,
60
  "learning_rate": 0.0002,
61
- "loss": 0.8479,
62
  "step": 90
63
  },
64
  {
65
- "epoch": 0.04,
66
  "learning_rate": 0.0002,
67
- "loss": 0.8755,
68
  "step": 100
69
  },
70
  {
71
- "epoch": 0.04,
72
  "learning_rate": 0.0002,
73
- "loss": 0.8899,
74
  "step": 110
75
  },
76
  {
77
- "epoch": 0.05,
78
  "learning_rate": 0.0002,
79
- "loss": 0.831,
80
  "step": 120
81
  },
82
  {
83
- "epoch": 0.05,
84
  "learning_rate": 0.0002,
85
- "loss": 0.7856,
86
  "step": 130
87
  },
88
  {
89
- "epoch": 0.06,
90
  "learning_rate": 0.0002,
91
- "loss": 0.7811,
92
  "step": 140
93
  },
94
  {
95
- "epoch": 0.06,
96
  "learning_rate": 0.0002,
97
- "loss": 0.786,
98
  "step": 150
99
  },
100
  {
101
- "epoch": 0.06,
102
  "learning_rate": 0.0002,
103
- "loss": 0.8194,
104
  "step": 160
105
  },
106
  {
107
- "epoch": 0.07,
108
  "learning_rate": 0.0002,
109
- "loss": 0.8858,
110
  "step": 170
111
  },
112
  {
113
- "epoch": 0.07,
114
  "learning_rate": 0.0002,
115
- "loss": 0.8421,
116
  "step": 180
117
  },
118
  {
119
- "epoch": 0.08,
120
  "learning_rate": 0.0002,
121
- "loss": 0.8294,
122
  "step": 190
123
  },
124
  {
125
- "epoch": 0.08,
126
  "learning_rate": 0.0002,
127
- "loss": 0.877,
128
  "step": 200
129
  },
130
  {
131
- "epoch": 0.08,
132
- "eval_loss": 0.8124681711196899,
133
- "eval_runtime": 137.9176,
134
- "eval_samples_per_second": 7.251,
135
- "eval_steps_per_second": 3.625,
136
  "step": 200
137
  },
138
  {
139
- "epoch": 0.08,
140
- "mmlu_eval_accuracy": 0.4873261919391153,
141
  "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
142
- "mmlu_eval_accuracy_anatomy": 0.6428571428571429,
143
  "mmlu_eval_accuracy_astronomy": 0.4375,
144
  "mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
145
- "mmlu_eval_accuracy_clinical_knowledge": 0.4827586206896552,
146
  "mmlu_eval_accuracy_college_biology": 0.4375,
147
  "mmlu_eval_accuracy_college_chemistry": 0.125,
148
  "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
149
  "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
150
- "mmlu_eval_accuracy_college_medicine": 0.4090909090909091,
151
- "mmlu_eval_accuracy_college_physics": 0.2727272727272727,
152
  "mmlu_eval_accuracy_computer_security": 0.36363636363636365,
153
  "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615,
154
  "mmlu_eval_accuracy_econometrics": 0.25,
155
- "mmlu_eval_accuracy_electrical_engineering": 0.25,
156
  "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637,
157
- "mmlu_eval_accuracy_formal_logic": 0.21428571428571427,
158
  "mmlu_eval_accuracy_global_facts": 0.4,
159
- "mmlu_eval_accuracy_high_school_biology": 0.375,
160
- "mmlu_eval_accuracy_high_school_chemistry": 0.45454545454545453,
161
  "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
162
  "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666,
163
  "mmlu_eval_accuracy_high_school_geography": 0.9090909090909091,
164
  "mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714,
165
  "mmlu_eval_accuracy_high_school_macroeconomics": 0.4418604651162791,
166
  "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793,
167
- "mmlu_eval_accuracy_high_school_microeconomics": 0.34615384615384615,
168
  "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413,
169
  "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667,
170
  "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173,
@@ -173,35 +173,35 @@
173
  "mmlu_eval_accuracy_human_aging": 0.6956521739130435,
174
  "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
175
  "mmlu_eval_accuracy_international_law": 0.9230769230769231,
176
- "mmlu_eval_accuracy_jurisprudence": 0.36363636363636365,
177
  "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666,
178
  "mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
179
  "mmlu_eval_accuracy_management": 0.6363636363636364,
180
- "mmlu_eval_accuracy_marketing": 0.84,
181
  "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
182
- "mmlu_eval_accuracy_miscellaneous": 0.6511627906976745,
183
- "mmlu_eval_accuracy_moral_disputes": 0.39473684210526316,
184
- "mmlu_eval_accuracy_moral_scenarios": 0.22,
185
- "mmlu_eval_accuracy_nutrition": 0.6060606060606061,
186
- "mmlu_eval_accuracy_philosophy": 0.4411764705882353,
187
- "mmlu_eval_accuracy_prehistory": 0.5142857142857142,
188
- "mmlu_eval_accuracy_professional_accounting": 0.41935483870967744,
189
  "mmlu_eval_accuracy_professional_law": 0.32941176470588235,
190
- "mmlu_eval_accuracy_professional_medicine": 0.5806451612903226,
191
- "mmlu_eval_accuracy_professional_psychology": 0.5072463768115942,
192
  "mmlu_eval_accuracy_public_relations": 0.6666666666666666,
193
- "mmlu_eval_accuracy_security_studies": 0.4444444444444444,
194
  "mmlu_eval_accuracy_sociology": 0.6363636363636364,
195
- "mmlu_eval_accuracy_us_foreign_policy": 0.8181818181818182,
196
  "mmlu_eval_accuracy_virology": 0.5555555555555556,
197
  "mmlu_eval_accuracy_world_religions": 0.7368421052631579,
198
- "mmlu_loss": 1.6638376168887234,
199
  "step": 200
200
  }
201
  ],
202
  "max_steps": 10000,
203
- "num_train_epochs": 4,
204
- "total_flos": 7.039326356235878e+16,
205
  "trial_name": null,
206
  "trial_params": null
207
  }
 
1
  {
2
+ "best_metric": 0.823621928691864,
3
  "best_model_checkpoint": "experts/expert-21/checkpoint-200",
4
+ "epoch": 0.03992015968063872,
5
  "global_step": 200,
6
  "is_hyper_param_search": false,
7
  "is_local_process_zero": true,
 
10
  {
11
  "epoch": 0.0,
12
  "learning_rate": 0.0002,
13
+ "loss": 0.9541,
14
  "step": 10
15
  },
16
  {
17
+ "epoch": 0.0,
18
  "learning_rate": 0.0002,
19
+ "loss": 0.8555,
20
  "step": 20
21
  },
22
  {
23
  "epoch": 0.01,
24
  "learning_rate": 0.0002,
25
+ "loss": 0.8687,
26
  "step": 30
27
  },
28
  {
29
+ "epoch": 0.01,
30
  "learning_rate": 0.0002,
31
+ "loss": 0.8501,
32
  "step": 40
33
  },
34
  {
35
+ "epoch": 0.01,
36
  "learning_rate": 0.0002,
37
+ "loss": 0.863,
38
  "step": 50
39
  },
40
  {
41
+ "epoch": 0.01,
42
  "learning_rate": 0.0002,
43
+ "loss": 0.9269,
44
  "step": 60
45
  },
46
  {
47
+ "epoch": 0.01,
48
  "learning_rate": 0.0002,
49
+ "loss": 0.8752,
50
  "step": 70
51
  },
52
  {
53
+ "epoch": 0.02,
54
  "learning_rate": 0.0002,
55
+ "loss": 0.9716,
56
  "step": 80
57
  },
58
  {
59
+ "epoch": 0.02,
60
  "learning_rate": 0.0002,
61
+ "loss": 0.859,
62
  "step": 90
63
  },
64
  {
65
+ "epoch": 0.02,
66
  "learning_rate": 0.0002,
67
+ "loss": 0.8005,
68
  "step": 100
69
  },
70
  {
71
+ "epoch": 0.02,
72
  "learning_rate": 0.0002,
73
+ "loss": 0.9085,
74
  "step": 110
75
  },
76
  {
77
+ "epoch": 0.02,
78
  "learning_rate": 0.0002,
79
+ "loss": 0.8209,
80
  "step": 120
81
  },
82
  {
83
+ "epoch": 0.03,
84
  "learning_rate": 0.0002,
85
+ "loss": 0.9187,
86
  "step": 130
87
  },
88
  {
89
+ "epoch": 0.03,
90
  "learning_rate": 0.0002,
91
+ "loss": 0.8224,
92
  "step": 140
93
  },
94
  {
95
+ "epoch": 0.03,
96
  "learning_rate": 0.0002,
97
+ "loss": 0.8602,
98
  "step": 150
99
  },
100
  {
101
+ "epoch": 0.03,
102
  "learning_rate": 0.0002,
103
+ "loss": 0.7885,
104
  "step": 160
105
  },
106
  {
107
+ "epoch": 0.03,
108
  "learning_rate": 0.0002,
109
+ "loss": 0.821,
110
  "step": 170
111
  },
112
  {
113
+ "epoch": 0.04,
114
  "learning_rate": 0.0002,
115
+ "loss": 0.8676,
116
  "step": 180
117
  },
118
  {
119
+ "epoch": 0.04,
120
  "learning_rate": 0.0002,
121
+ "loss": 0.9202,
122
  "step": 190
123
  },
124
  {
125
+ "epoch": 0.04,
126
  "learning_rate": 0.0002,
127
+ "loss": 0.8188,
128
  "step": 200
129
  },
130
  {
131
+ "epoch": 0.04,
132
+ "eval_loss": 0.823621928691864,
133
+ "eval_runtime": 189.8157,
134
+ "eval_samples_per_second": 5.268,
135
+ "eval_steps_per_second": 2.634,
136
  "step": 200
137
  },
138
  {
139
+ "epoch": 0.04,
140
+ "mmlu_eval_accuracy": 0.486383698866548,
141
  "mmlu_eval_accuracy_abstract_algebra": 0.2727272727272727,
142
+ "mmlu_eval_accuracy_anatomy": 0.5714285714285714,
143
  "mmlu_eval_accuracy_astronomy": 0.4375,
144
  "mmlu_eval_accuracy_business_ethics": 0.5454545454545454,
145
+ "mmlu_eval_accuracy_clinical_knowledge": 0.5517241379310345,
146
  "mmlu_eval_accuracy_college_biology": 0.4375,
147
  "mmlu_eval_accuracy_college_chemistry": 0.125,
148
  "mmlu_eval_accuracy_college_computer_science": 0.36363636363636365,
149
  "mmlu_eval_accuracy_college_mathematics": 0.2727272727272727,
150
+ "mmlu_eval_accuracy_college_medicine": 0.36363636363636365,
151
+ "mmlu_eval_accuracy_college_physics": 0.36363636363636365,
152
  "mmlu_eval_accuracy_computer_security": 0.36363636363636365,
153
  "mmlu_eval_accuracy_conceptual_physics": 0.34615384615384615,
154
  "mmlu_eval_accuracy_econometrics": 0.25,
155
+ "mmlu_eval_accuracy_electrical_engineering": 0.3125,
156
  "mmlu_eval_accuracy_elementary_mathematics": 0.34146341463414637,
157
+ "mmlu_eval_accuracy_formal_logic": 0.14285714285714285,
158
  "mmlu_eval_accuracy_global_facts": 0.4,
159
+ "mmlu_eval_accuracy_high_school_biology": 0.40625,
160
+ "mmlu_eval_accuracy_high_school_chemistry": 0.3181818181818182,
161
  "mmlu_eval_accuracy_high_school_computer_science": 0.5555555555555556,
162
  "mmlu_eval_accuracy_high_school_european_history": 0.6666666666666666,
163
  "mmlu_eval_accuracy_high_school_geography": 0.9090909090909091,
164
  "mmlu_eval_accuracy_high_school_government_and_politics": 0.5714285714285714,
165
  "mmlu_eval_accuracy_high_school_macroeconomics": 0.4418604651162791,
166
  "mmlu_eval_accuracy_high_school_mathematics": 0.20689655172413793,
167
+ "mmlu_eval_accuracy_high_school_microeconomics": 0.38461538461538464,
168
  "mmlu_eval_accuracy_high_school_physics": 0.17647058823529413,
169
  "mmlu_eval_accuracy_high_school_psychology": 0.8666666666666667,
170
  "mmlu_eval_accuracy_high_school_statistics": 0.34782608695652173,
 
173
  "mmlu_eval_accuracy_human_aging": 0.6956521739130435,
174
  "mmlu_eval_accuracy_human_sexuality": 0.3333333333333333,
175
  "mmlu_eval_accuracy_international_law": 0.9230769230769231,
176
+ "mmlu_eval_accuracy_jurisprudence": 0.45454545454545453,
177
  "mmlu_eval_accuracy_logical_fallacies": 0.6666666666666666,
178
  "mmlu_eval_accuracy_machine_learning": 0.18181818181818182,
179
  "mmlu_eval_accuracy_management": 0.6363636363636364,
180
+ "mmlu_eval_accuracy_marketing": 0.88,
181
  "mmlu_eval_accuracy_medical_genetics": 0.9090909090909091,
182
+ "mmlu_eval_accuracy_miscellaneous": 0.6627906976744186,
183
+ "mmlu_eval_accuracy_moral_disputes": 0.42105263157894735,
184
+ "mmlu_eval_accuracy_moral_scenarios": 0.24,
185
+ "mmlu_eval_accuracy_nutrition": 0.6363636363636364,
186
+ "mmlu_eval_accuracy_philosophy": 0.5,
187
+ "mmlu_eval_accuracy_prehistory": 0.4857142857142857,
188
+ "mmlu_eval_accuracy_professional_accounting": 0.3548387096774194,
189
  "mmlu_eval_accuracy_professional_law": 0.32941176470588235,
190
+ "mmlu_eval_accuracy_professional_medicine": 0.5483870967741935,
191
+ "mmlu_eval_accuracy_professional_psychology": 0.4782608695652174,
192
  "mmlu_eval_accuracy_public_relations": 0.6666666666666666,
193
+ "mmlu_eval_accuracy_security_studies": 0.48148148148148145,
194
  "mmlu_eval_accuracy_sociology": 0.6363636363636364,
195
+ "mmlu_eval_accuracy_us_foreign_policy": 0.6363636363636364,
196
  "mmlu_eval_accuracy_virology": 0.5555555555555556,
197
  "mmlu_eval_accuracy_world_religions": 0.7368421052631579,
198
+ "mmlu_loss": 1.6085881815722343,
199
  "step": 200
200
  }
201
  ],
202
  "max_steps": 10000,
203
+ "num_train_epochs": 2,
204
+ "total_flos": 2.821303091596493e+16,
205
  "trial_name": null,
206
  "trial_params": null
207
  }
checkpoint-200/training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9f3ffe1e648921a382291ef39d8cc0cd1028979aed640da2c0f57ba92ef0d4c1
3
  size 5819
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3bbe31a14918402dc9f1acefdd42b0a5be81c28fa58723448f4a4c73673c2bea
3
  size 5819
training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:9f3ffe1e648921a382291ef39d8cc0cd1028979aed640da2c0f57ba92ef0d4c1
3
  size 5819
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3bbe31a14918402dc9f1acefdd42b0a5be81c28fa58723448f4a4c73673c2bea
3
  size 5819