Upload manifest_eval.yaml with huggingface_hub
Browse files- manifest_eval.yaml +221 -0
manifest_eval.yaml
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| 1 |
+
combinations:
|
| 2 |
+
gpt2_google_research_datasets_mbpp:
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| 3 |
+
model_name: gpt2
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| 4 |
+
dataset_name: google-research-datasets/mbpp
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| 5 |
+
path: features/eval/gpt2_google_research_datasets_mbpp
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| 6 |
+
n_members: 300
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| 7 |
+
n_nonmembers: 300
|
| 8 |
+
feature_dim: 154
|
| 9 |
+
sequence_length: 128
|
| 10 |
+
train_size: 270
|
| 11 |
+
val_size: 15
|
| 12 |
+
test_size: 15
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| 13 |
+
gpt2_data_code_contests_java:
|
| 14 |
+
model_name: gpt2
|
| 15 |
+
dataset_name: data/code_contests_java
|
| 16 |
+
path: features/eval/gpt2_data_code_contests_java
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| 17 |
+
n_members: 3500
|
| 18 |
+
n_nonmembers: 3500
|
| 19 |
+
feature_dim: 154
|
| 20 |
+
sequence_length: 128
|
| 21 |
+
train_size: 3150
|
| 22 |
+
val_size: 175
|
| 23 |
+
test_size: 175
|
| 24 |
+
eleutherai_pythia-2.8b_google_research_datasets_mbpp:
|
| 25 |
+
model_name: EleutherAI/pythia-2.8b
|
| 26 |
+
dataset_name: google-research-datasets/mbpp
|
| 27 |
+
path: features/eval/eleutherai_pythia-2.8b_google_research_datasets_mbpp
|
| 28 |
+
n_members: 300
|
| 29 |
+
n_nonmembers: 300
|
| 30 |
+
feature_dim: 154
|
| 31 |
+
sequence_length: 128
|
| 32 |
+
train_size: 270
|
| 33 |
+
val_size: 15
|
| 34 |
+
test_size: 15
|
| 35 |
+
eleutherai_pythia-2.8b_data_code_contests_java:
|
| 36 |
+
model_name: EleutherAI/pythia-2.8b
|
| 37 |
+
dataset_name: data/code_contests_java
|
| 38 |
+
path: features/eval/eleutherai_pythia-2.8b_data_code_contests_java
|
| 39 |
+
n_members: 3500
|
| 40 |
+
n_nonmembers: 3500
|
| 41 |
+
feature_dim: 154
|
| 42 |
+
sequence_length: 128
|
| 43 |
+
train_size: 3150
|
| 44 |
+
val_size: 175
|
| 45 |
+
test_size: 175
|
| 46 |
+
eleutherai_pythia-6.9b_google_research_datasets_mbpp:
|
| 47 |
+
model_name: EleutherAI/pythia-6.9b
|
| 48 |
+
dataset_name: google-research-datasets/mbpp
|
| 49 |
+
path: features/eval/eleutherai_pythia-6.9b_google_research_datasets_mbpp
|
| 50 |
+
n_members: 300
|
| 51 |
+
n_nonmembers: 300
|
| 52 |
+
feature_dim: 154
|
| 53 |
+
sequence_length: 128
|
| 54 |
+
train_size: 270
|
| 55 |
+
val_size: 15
|
| 56 |
+
test_size: 15
|
| 57 |
+
eleutherai_pythia-6.9b_data_code_contests_java:
|
| 58 |
+
model_name: EleutherAI/pythia-6.9b
|
| 59 |
+
dataset_name: data/code_contests_java
|
| 60 |
+
path: features/eval/eleutherai_pythia-6.9b_data_code_contests_java
|
| 61 |
+
n_members: 3500
|
| 62 |
+
n_nonmembers: 3500
|
| 63 |
+
feature_dim: 154
|
| 64 |
+
sequence_length: 128
|
| 65 |
+
train_size: 3150
|
| 66 |
+
val_size: 175
|
| 67 |
+
test_size: 175
|
| 68 |
+
facebook_opt-2.7b_google_research_datasets_mbpp:
|
| 69 |
+
model_name: facebook/opt-2.7b
|
| 70 |
+
dataset_name: google-research-datasets/mbpp
|
| 71 |
+
path: features/eval/facebook_opt-2.7b_google_research_datasets_mbpp
|
| 72 |
+
n_members: 300
|
| 73 |
+
n_nonmembers: 300
|
| 74 |
+
feature_dim: 154
|
| 75 |
+
sequence_length: 128
|
| 76 |
+
train_size: 270
|
| 77 |
+
val_size: 15
|
| 78 |
+
test_size: 15
|
| 79 |
+
facebook_opt-2.7b_data_code_contests_java:
|
| 80 |
+
model_name: facebook/opt-2.7b
|
| 81 |
+
dataset_name: data/code_contests_java
|
| 82 |
+
path: features/eval/facebook_opt-2.7b_data_code_contests_java
|
| 83 |
+
n_members: 3500
|
| 84 |
+
n_nonmembers: 3500
|
| 85 |
+
feature_dim: 154
|
| 86 |
+
sequence_length: 128
|
| 87 |
+
train_size: 3150
|
| 88 |
+
val_size: 175
|
| 89 |
+
test_size: 175
|
| 90 |
+
meta-llama_llama-2-7b-hf_google_research_datasets_mbpp:
|
| 91 |
+
model_name: meta-llama/Llama-2-7b-hf
|
| 92 |
+
dataset_name: google-research-datasets/mbpp
|
| 93 |
+
path: features/eval/meta-llama_llama-2-7b-hf_google_research_datasets_mbpp
|
| 94 |
+
n_members: 300
|
| 95 |
+
n_nonmembers: 300
|
| 96 |
+
feature_dim: 154
|
| 97 |
+
sequence_length: 128
|
| 98 |
+
train_size: 270
|
| 99 |
+
val_size: 15
|
| 100 |
+
test_size: 15
|
| 101 |
+
meta-llama_llama-2-7b-hf_data_code_contests_java:
|
| 102 |
+
model_name: meta-llama/Llama-2-7b-hf
|
| 103 |
+
dataset_name: data/code_contests_java
|
| 104 |
+
path: features/eval/meta-llama_llama-2-7b-hf_data_code_contests_java
|
| 105 |
+
n_members: 3500
|
| 106 |
+
n_nonmembers: 3500
|
| 107 |
+
feature_dim: 154
|
| 108 |
+
sequence_length: 128
|
| 109 |
+
train_size: 3150
|
| 110 |
+
val_size: 175
|
| 111 |
+
test_size: 175
|
| 112 |
+
microsoft_phi-2_google_research_datasets_mbpp:
|
| 113 |
+
model_name: microsoft/phi-2
|
| 114 |
+
dataset_name: google-research-datasets/mbpp
|
| 115 |
+
path: features/eval/microsoft_phi-2_google_research_datasets_mbpp
|
| 116 |
+
n_members: 300
|
| 117 |
+
n_nonmembers: 300
|
| 118 |
+
feature_dim: 154
|
| 119 |
+
sequence_length: 128
|
| 120 |
+
train_size: 270
|
| 121 |
+
val_size: 15
|
| 122 |
+
test_size: 15
|
| 123 |
+
microsoft_phi-2_data_code_contests_java:
|
| 124 |
+
model_name: microsoft/phi-2
|
| 125 |
+
dataset_name: data/code_contests_java
|
| 126 |
+
path: features/eval/microsoft_phi-2_data_code_contests_java
|
| 127 |
+
n_members: 3500
|
| 128 |
+
n_nonmembers: 3500
|
| 129 |
+
feature_dim: 154
|
| 130 |
+
sequence_length: 128
|
| 131 |
+
train_size: 3150
|
| 132 |
+
val_size: 175
|
| 133 |
+
test_size: 175
|
| 134 |
+
mistralai_mistral-7b-v0.1_google_research_datasets_mbpp:
|
| 135 |
+
model_name: mistralai/Mistral-7B-v0.1
|
| 136 |
+
dataset_name: google-research-datasets/mbpp
|
| 137 |
+
path: features/eval/mistralai_mistral-7b-v0.1_google_research_datasets_mbpp
|
| 138 |
+
n_members: 300
|
| 139 |
+
n_nonmembers: 300
|
| 140 |
+
feature_dim: 154
|
| 141 |
+
sequence_length: 128
|
| 142 |
+
train_size: 270
|
| 143 |
+
val_size: 15
|
| 144 |
+
test_size: 15
|
| 145 |
+
mistralai_mistral-7b-v0.1_data_code_contests_java:
|
| 146 |
+
model_name: mistralai/Mistral-7B-v0.1
|
| 147 |
+
dataset_name: data/code_contests_java
|
| 148 |
+
path: features/eval/mistralai_mistral-7b-v0.1_data_code_contests_java
|
| 149 |
+
n_members: 3500
|
| 150 |
+
n_nonmembers: 3500
|
| 151 |
+
feature_dim: 154
|
| 152 |
+
sequence_length: 128
|
| 153 |
+
train_size: 3150
|
| 154 |
+
val_size: 175
|
| 155 |
+
test_size: 175
|
| 156 |
+
gpt2_jetbrains_kexercises:
|
| 157 |
+
model_name: gpt2
|
| 158 |
+
dataset_name: JetBrains/KExercises
|
| 159 |
+
path: features/eval/gpt2_jetbrains_kexercises
|
| 160 |
+
n_members: 7000
|
| 161 |
+
n_nonmembers: 7000
|
| 162 |
+
feature_dim: 154
|
| 163 |
+
sequence_length: 128
|
| 164 |
+
train_size: 6300
|
| 165 |
+
val_size: 350
|
| 166 |
+
test_size: 350
|
| 167 |
+
eleutherai_pythia-2.8b_jetbrains_kexercises:
|
| 168 |
+
model_name: EleutherAI/pythia-2.8b
|
| 169 |
+
dataset_name: JetBrains/KExercises
|
| 170 |
+
path: features/eval/eleutherai_pythia-2.8b_jetbrains_kexercises
|
| 171 |
+
n_members: 7000
|
| 172 |
+
n_nonmembers: 7000
|
| 173 |
+
feature_dim: 154
|
| 174 |
+
sequence_length: 128
|
| 175 |
+
train_size: 6300
|
| 176 |
+
val_size: 350
|
| 177 |
+
test_size: 350
|
| 178 |
+
eleutherai_pythia-6.9b_jetbrains_kexercises:
|
| 179 |
+
model_name: EleutherAI/pythia-6.9b
|
| 180 |
+
dataset_name: JetBrains/KExercises
|
| 181 |
+
path: features/eval/eleutherai_pythia-6.9b_jetbrains_kexercises
|
| 182 |
+
n_members: 7000
|
| 183 |
+
n_nonmembers: 7000
|
| 184 |
+
feature_dim: 154
|
| 185 |
+
sequence_length: 128
|
| 186 |
+
train_size: 6300
|
| 187 |
+
val_size: 350
|
| 188 |
+
test_size: 350
|
| 189 |
+
facebook_opt-2.7b_jetbrains_kexercises:
|
| 190 |
+
model_name: facebook/opt-2.7b
|
| 191 |
+
dataset_name: JetBrains/KExercises
|
| 192 |
+
path: features/eval/facebook_opt-2.7b_jetbrains_kexercises
|
| 193 |
+
n_members: 7000
|
| 194 |
+
n_nonmembers: 7000
|
| 195 |
+
feature_dim: 154
|
| 196 |
+
sequence_length: 128
|
| 197 |
+
train_size: 6300
|
| 198 |
+
val_size: 350
|
| 199 |
+
test_size: 350
|
| 200 |
+
microsoft_phi-2_jetbrains_kexercises:
|
| 201 |
+
model_name: microsoft/phi-2
|
| 202 |
+
dataset_name: JetBrains/KExercises
|
| 203 |
+
path: features/eval/microsoft_phi-2_jetbrains_kexercises
|
| 204 |
+
n_members: 7000
|
| 205 |
+
n_nonmembers: 7000
|
| 206 |
+
feature_dim: 154
|
| 207 |
+
sequence_length: 128
|
| 208 |
+
train_size: 6300
|
| 209 |
+
val_size: 350
|
| 210 |
+
test_size: 350
|
| 211 |
+
mistralai_mistral-7b-v0.1_jetbrains_kexercises:
|
| 212 |
+
model_name: mistralai/Mistral-7B-v0.1
|
| 213 |
+
dataset_name: JetBrains/KExercises
|
| 214 |
+
path: features/eval/mistralai_mistral-7b-v0.1_jetbrains_kexercises
|
| 215 |
+
n_members: 7000
|
| 216 |
+
n_nonmembers: 7000
|
| 217 |
+
feature_dim: 154
|
| 218 |
+
sequence_length: 128
|
| 219 |
+
train_size: 6300
|
| 220 |
+
val_size: 350
|
| 221 |
+
test_size: 350
|