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Browse files- command.txt +1 -0
- config.json +31 -0
- generation_config.json +6 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +226 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- run_config.json +604 -0
- scheduler.pt +3 -0
- trainer_state.json +1095 -0
- training_args.bin +3 -0
- training_logs.txt +323 -0
command.txt
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main.py deepseek
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config.json
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{
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"_name_or_path": "deepseek-ai/deepseek-coder-1.3b-instruct",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 32013,
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"eos_token_id": 32021,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 5504,
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"max_position_embeddings": 16384,
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"model_type": "llama",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"num_key_value_heads": 16,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-06,
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"rope_scaling": {
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"factor": 4.0,
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"type": "linear"
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},
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"rope_theta": 100000,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"use_cache": true,
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"vocab_size": 32256
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 32013,
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"eos_token_id": 32021,
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"transformers_version": "4.38.2"
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}
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model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bc8b408211f3d6f12fa928573bae13aa44e32745654c884785497fd845f908d7
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size 4986380064
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model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5700ee949e4ad2afc984948f6240588c65a0e30033d9643f20b5db0321dee689
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size 399532808
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model.safetensors.index.json
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|
| 1 |
+
{
|
| 2 |
+
"model": {
|
| 3 |
+
"codellama": {
|
| 4 |
+
"base_model_id": "codellama/CodeLlama-7b-hf",
|
| 5 |
+
"quantitize": "int8",
|
| 6 |
+
"dataset": "Arithmetic_Simple",
|
| 7 |
+
"data_collator": "DataCollatorForSeq2Seq",
|
| 8 |
+
"lora_config": {
|
| 9 |
+
"r": 16,
|
| 10 |
+
"lora_alpha": 16,
|
| 11 |
+
"target_modules": [
|
| 12 |
+
"q_proj",
|
| 13 |
+
"k_proj",
|
| 14 |
+
"v_proj",
|
| 15 |
+
"o_proj",
|
| 16 |
+
"gate_proj",
|
| 17 |
+
"up_proj",
|
| 18 |
+
"down_proj"
|
| 19 |
+
],
|
| 20 |
+
"lora_dropout": 0.05,
|
| 21 |
+
"bias": "none",
|
| 22 |
+
"task_type": "CAUSAL_LM"
|
| 23 |
+
},
|
| 24 |
+
"training_args": {
|
| 25 |
+
"output_dir": "codellama-output",
|
| 26 |
+
"warmup_steps": 100,
|
| 27 |
+
"per_device_train_batch_size": 1,
|
| 28 |
+
"per_device_eval_batch_size": 1,
|
| 29 |
+
"gradient_accumulation_steps": 4,
|
| 30 |
+
"max_steps": 10000,
|
| 31 |
+
"learning_rate": 0.0003,
|
| 32 |
+
"optim": "adamw_torch",
|
| 33 |
+
"logging_dir": "codellama-output-logs",
|
| 34 |
+
"logging_steps": 10,
|
| 35 |
+
"save_strategy": "steps",
|
| 36 |
+
"save_steps": 500,
|
| 37 |
+
"load_best_model_at_end": false,
|
| 38 |
+
"group_by_length": true,
|
| 39 |
+
"fp16": true,
|
| 40 |
+
"evaluation_strategy": "steps",
|
| 41 |
+
"eval_steps": 1000
|
| 42 |
+
},
|
| 43 |
+
"tokenizer": {
|
| 44 |
+
"tokenize_config": {
|
| 45 |
+
"truncation": true,
|
| 46 |
+
"max_length": 192,
|
| 47 |
+
"padding": "max_length"
|
| 48 |
+
},
|
| 49 |
+
"prompt_template": "config/qa_template.txt"
|
| 50 |
+
}
|
| 51 |
+
},
|
| 52 |
+
"phi-2": {
|
| 53 |
+
"base_model_id": "microsoft/phi-2",
|
| 54 |
+
"quantitize": "fp16",
|
| 55 |
+
"dataset": "Arithmetic_Simple",
|
| 56 |
+
"data_collator": "DataCollatorForLanguageModeling",
|
| 57 |
+
"lora_config": {
|
| 58 |
+
"r": 32,
|
| 59 |
+
"lora_alpha": 64,
|
| 60 |
+
"target_modules": [
|
| 61 |
+
"q_proj",
|
| 62 |
+
"k_proj",
|
| 63 |
+
"v_proj",
|
| 64 |
+
"dense",
|
| 65 |
+
"fc1",
|
| 66 |
+
"fc2"
|
| 67 |
+
],
|
| 68 |
+
"bias": "none",
|
| 69 |
+
"lora_dropout": 0.05,
|
| 70 |
+
"task_type": "CAUSAL_LM"
|
| 71 |
+
},
|
| 72 |
+
"training_args": {
|
| 73 |
+
"output_dir": "phi2-output",
|
| 74 |
+
"warmup_steps": 500,
|
| 75 |
+
"per_device_train_batch_size": 1,
|
| 76 |
+
"per_device_eval_batch_size": 1,
|
| 77 |
+
"gradient_accumulation_steps": 4,
|
| 78 |
+
"max_steps": 100000,
|
| 79 |
+
"learning_rate": 0.0003,
|
| 80 |
+
"optim": "paged_adamw_8bit",
|
| 81 |
+
"logging_dir": "phi2-output-logs",
|
| 82 |
+
"logging_steps": 100,
|
| 83 |
+
"save_strategy": "steps",
|
| 84 |
+
"save_steps": 500,
|
| 85 |
+
"evaluation_strategy": "steps",
|
| 86 |
+
"eval_steps": 500,
|
| 87 |
+
"fp16": true
|
| 88 |
+
},
|
| 89 |
+
"tokenizer": {
|
| 90 |
+
"tokenize_config": {
|
| 91 |
+
"truncation": true,
|
| 92 |
+
"max_length": 512,
|
| 93 |
+
"padding": "max_length"
|
| 94 |
+
},
|
| 95 |
+
"prompt_template": "config/qa_template.txt"
|
| 96 |
+
}
|
| 97 |
+
},
|
| 98 |
+
"deepseek": {
|
| 99 |
+
"base_model_id": "deepseek-ai/deepseek-coder-1.3b-instruct",
|
| 100 |
+
"quantitize": "fp16",
|
| 101 |
+
"dataset": "ghcode_python",
|
| 102 |
+
"data_collator": "DataCollatorForLanguageModeling",
|
| 103 |
+
"lora_config": {
|
| 104 |
+
"r": 32,
|
| 105 |
+
"lora_alpha": 64,
|
| 106 |
+
"target_modules": [
|
| 107 |
+
"q_proj",
|
| 108 |
+
"k_proj",
|
| 109 |
+
"v_proj",
|
| 110 |
+
"o_proj",
|
| 111 |
+
"gate_proj",
|
| 112 |
+
"up_proj",
|
| 113 |
+
"down_proj"
|
| 114 |
+
],
|
| 115 |
+
"bias": "none",
|
| 116 |
+
"lora_dropout": 0.05,
|
| 117 |
+
"task_type": "CAUSAL_LM"
|
| 118 |
+
},
|
| 119 |
+
"lora_large_config": {
|
| 120 |
+
"r": 128,
|
| 121 |
+
"lora_alpha": 256,
|
| 122 |
+
"target_modules": [
|
| 123 |
+
"q_proj",
|
| 124 |
+
"k_proj",
|
| 125 |
+
"v_proj",
|
| 126 |
+
"o_proj",
|
| 127 |
+
"gate_proj",
|
| 128 |
+
"up_proj",
|
| 129 |
+
"down_proj"
|
| 130 |
+
],
|
| 131 |
+
"bias": "none",
|
| 132 |
+
"lora_dropout": 0.05,
|
| 133 |
+
"task_type": "CAUSAL_LM"
|
| 134 |
+
},
|
| 135 |
+
"p_tuning_config": {
|
| 136 |
+
"num_virtual_tokens": 16,
|
| 137 |
+
"num_transformer_submodules": 1,
|
| 138 |
+
"token_dim": 2048,
|
| 139 |
+
"encoder_hidden_size": 2048,
|
| 140 |
+
"task_type": "CAUSAL_LM"
|
| 141 |
+
},
|
| 142 |
+
"training_args": {
|
| 143 |
+
"output_dir": "runs/deepseek-ctrl-gh",
|
| 144 |
+
"warmup_steps": 0,
|
| 145 |
+
"per_device_train_batch_size": 8,
|
| 146 |
+
"per_device_eval_batch_size": 8,
|
| 147 |
+
"gradient_accumulation_steps": 4,
|
| 148 |
+
"max_steps": 15000,
|
| 149 |
+
"learning_rate": 2e-05,
|
| 150 |
+
"optim": "paged_adamw_8bit",
|
| 151 |
+
"logging_dir": "runs/deepseek-ctrl-gh/logs",
|
| 152 |
+
"logging_steps": 100,
|
| 153 |
+
"save_strategy": "steps",
|
| 154 |
+
"save_steps": 5000,
|
| 155 |
+
"evaluation_strategy": "steps",
|
| 156 |
+
"eval_steps": 5000,
|
| 157 |
+
"weight_decay": 0.01,
|
| 158 |
+
"fp16": true
|
| 159 |
+
},
|
| 160 |
+
"tokenizer": {
|
| 161 |
+
"tokenize_config": {
|
| 162 |
+
"truncation": true,
|
| 163 |
+
"max_length": 512,
|
| 164 |
+
"padding": "max_length"
|
| 165 |
+
},
|
| 166 |
+
"prompt_template": "config/qa_template.txt"
|
| 167 |
+
}
|
| 168 |
+
}
|
| 169 |
+
},
|
| 170 |
+
"dataset": {
|
| 171 |
+
"simple_dataset": {
|
| 172 |
+
"type": "huggingface",
|
| 173 |
+
"dataset_purpose": "downstream",
|
| 174 |
+
"name": "b-mc2/sql-create-context",
|
| 175 |
+
"train_split": 0.9,
|
| 176 |
+
"max_train_size": 100,
|
| 177 |
+
"filling_field": [
|
| 178 |
+
"question",
|
| 179 |
+
"context",
|
| 180 |
+
"answer"
|
| 181 |
+
]
|
| 182 |
+
},
|
| 183 |
+
"testdset": {
|
| 184 |
+
"type": "local",
|
| 185 |
+
"dataset_purpose": "downstream",
|
| 186 |
+
"train_file": "data/Test/TestDataset.json",
|
| 187 |
+
"val_file": "data/Test/TestDataset.json",
|
| 188 |
+
"test_file": "data/Test/TestDataset.json",
|
| 189 |
+
"filling_field": [
|
| 190 |
+
"prompted_question",
|
| 191 |
+
"answer"
|
| 192 |
+
]
|
| 193 |
+
},
|
| 194 |
+
"mixture_codegen": {
|
| 195 |
+
"filling_field": [
|
| 196 |
+
"Question",
|
| 197 |
+
"Answer"
|
| 198 |
+
],
|
| 199 |
+
"dataset_purpose": "downstream"
|
| 200 |
+
},
|
| 201 |
+
"MathQA_Python_loader": {
|
| 202 |
+
"type": "list-like",
|
| 203 |
+
"dataset_purpose": "downstream",
|
| 204 |
+
"train": "data/MathQA_Python_processed/mathqa_python_train_clean_final.json",
|
| 205 |
+
"val": "data/MathQA_Python_processed/mathqa_python_dev_clean_final.json",
|
| 206 |
+
"test": "data/MathQA_Python_processed/mathqa_python_test_clean_final.json",
|
| 207 |
+
"filling_field": [
|
| 208 |
+
"Question",
|
| 209 |
+
"Answer"
|
| 210 |
+
]
|
| 211 |
+
},
|
| 212 |
+
"APPS_loader": {
|
| 213 |
+
"type": "list-like",
|
| 214 |
+
"dataset_purpose": "downstream",
|
| 215 |
+
"train": "data/APPS/apps_train.json",
|
| 216 |
+
"val": "data/APPS/apps_dev.json",
|
| 217 |
+
"test": "data/APPS/test/apps_test_75.json",
|
| 218 |
+
"filling_field": [
|
| 219 |
+
"Question",
|
| 220 |
+
"Answer"
|
| 221 |
+
]
|
| 222 |
+
},
|
| 223 |
+
"MBPP_loader": {
|
| 224 |
+
"type": "list-like",
|
| 225 |
+
"dataset_purpose": "downstream",
|
| 226 |
+
"train": "data/MBPP/mbpp_train.json",
|
| 227 |
+
"val": "data/MBPP/mbpp_dev.json",
|
| 228 |
+
"test": "data/MBPP/mbpp_test.json",
|
| 229 |
+
"filling_field": [
|
| 230 |
+
"Question",
|
| 231 |
+
"Answer"
|
| 232 |
+
]
|
| 233 |
+
},
|
| 234 |
+
"Arithmetic_Simple": {
|
| 235 |
+
"type": "list-like",
|
| 236 |
+
"dataset_purpose": "downstream",
|
| 237 |
+
"attributes": {
|
| 238 |
+
"subjects": [
|
| 239 |
+
1,
|
| 240 |
+
2,
|
| 241 |
+
3,
|
| 242 |
+
4,
|
| 243 |
+
5,
|
| 244 |
+
6,
|
| 245 |
+
7,
|
| 246 |
+
8,
|
| 247 |
+
9
|
| 248 |
+
],
|
| 249 |
+
"lessons": [
|
| 250 |
+
"Max_Ops1_Bounds0_100",
|
| 251 |
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|
| 252 |
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"Max_Ops2_Bounds0_100",
|
| 253 |
+
"Max_Ops2_Bounds0_1000",
|
| 254 |
+
"Max_Ops3_Bounds0_100",
|
| 255 |
+
"Max_Ops3_Bounds0_1000",
|
| 256 |
+
"Max_Ops4_Bounds0_100",
|
| 257 |
+
"Max_Ops4_Bounds0_1000",
|
| 258 |
+
"Max_Ops5_Bounds0_100",
|
| 259 |
+
"Max_Ops5_Bounds0_1000"
|
| 260 |
+
]
|
| 261 |
+
},
|
| 262 |
+
"train": "data/Arithmetic/Curriculum_Simple",
|
| 263 |
+
"val": "data/Arithmetic/Curriculum_Simple",
|
| 264 |
+
"test": "data/Arithmetic/Curriculum_Simple",
|
| 265 |
+
"filling_field": [
|
| 266 |
+
"Question",
|
| 267 |
+
"Answer"
|
| 268 |
+
]
|
| 269 |
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},
|
| 270 |
+
"Arithmetic_Hard": {
|
| 271 |
+
"type": "list-like",
|
| 272 |
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"dataset_purpose": "downstream",
|
| 273 |
+
"attributes": {
|
| 274 |
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|
| 275 |
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1,
|
| 276 |
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2,
|
| 277 |
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|
| 278 |
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4,
|
| 279 |
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5,
|
| 280 |
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6,
|
| 281 |
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|
| 282 |
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|
| 283 |
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|
| 284 |
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|
| 285 |
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|
| 286 |
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|
| 287 |
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|
| 288 |
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|
| 289 |
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"Max_Ops1_Bounds0_1000",
|
| 290 |
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"Max_Ops2_Bounds-1000_1000",
|
| 291 |
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"Max_Ops2_Bounds-100_100",
|
| 292 |
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"Max_Ops2_Bounds0_100",
|
| 293 |
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"Max_Ops2_Bounds0_1000",
|
| 294 |
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"Max_Ops3_Bounds-1000_1000",
|
| 295 |
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"Max_Ops3_Bounds-100_100",
|
| 296 |
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"Max_Ops3_Bounds0_100",
|
| 297 |
+
"Max_Ops3_Bounds0_1000",
|
| 298 |
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"Max_Ops4_Bounds-1000_1000",
|
| 299 |
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"Max_Ops4_Bounds-100_100",
|
| 300 |
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"Max_Ops4_Bounds0_100",
|
| 301 |
+
"Max_Ops4_Bounds0_1000",
|
| 302 |
+
"Max_Ops5_Bounds-1000_1000",
|
| 303 |
+
"Max_Ops5_Bounds-100_100",
|
| 304 |
+
"Max_Ops5_Bounds0_100",
|
| 305 |
+
"Max_Ops5_Bounds0_1000",
|
| 306 |
+
"Max_Ops6_Bounds-1000_1000",
|
| 307 |
+
"Max_Ops6_Bounds-100_100",
|
| 308 |
+
"Max_Ops6_Bounds0_100",
|
| 309 |
+
"Max_Ops6_Bounds0_1000",
|
| 310 |
+
"Max_Ops7_Bounds-1000_1000",
|
| 311 |
+
"Max_Ops7_Bounds-100_100",
|
| 312 |
+
"Max_Ops7_Bounds0_100",
|
| 313 |
+
"Max_Ops7_Bounds0_1000",
|
| 314 |
+
"Max_Ops8_Bounds-1000_1000",
|
| 315 |
+
"Max_Ops8_Bounds-100_100",
|
| 316 |
+
"Max_Ops8_Bounds0_100",
|
| 317 |
+
"Max_Ops8_Bounds0_1000",
|
| 318 |
+
"Max_Ops9_Bounds-1000_1000",
|
| 319 |
+
"Max_Ops9_Bounds-100_100",
|
| 320 |
+
"Max_Ops9_Bounds0_100",
|
| 321 |
+
"Max_Ops9_Bounds0_1000",
|
| 322 |
+
"Max_Ops10_Bounds-1000_1000",
|
| 323 |
+
"Max_Ops10_Bounds-100_100",
|
| 324 |
+
"Max_Ops10_Bounds0_100",
|
| 325 |
+
"Max_Ops10_Bounds0_1000"
|
| 326 |
+
]
|
| 327 |
+
},
|
| 328 |
+
"train": "data/Arithmetic/Curriculum_Hard",
|
| 329 |
+
"val": "data/Arithmetic/Curriculum_Hard",
|
| 330 |
+
"test": "data/Arithmetic/Curriculum_Hard",
|
| 331 |
+
"filling_field": [
|
| 332 |
+
"Question",
|
| 333 |
+
"Answer"
|
| 334 |
+
]
|
| 335 |
+
},
|
| 336 |
+
"Arithmetic_Hard_prompt_C11": {
|
| 337 |
+
"type": "list-like",
|
| 338 |
+
"dataset_purpose": "downstream",
|
| 339 |
+
"attributes": {
|
| 340 |
+
"subjects": [
|
| 341 |
+
1,
|
| 342 |
+
2,
|
| 343 |
+
3,
|
| 344 |
+
4,
|
| 345 |
+
5,
|
| 346 |
+
6,
|
| 347 |
+
7,
|
| 348 |
+
8,
|
| 349 |
+
9
|
| 350 |
+
],
|
| 351 |
+
"lessons": [
|
| 352 |
+
"Max_Ops1_Bounds-1000_1000",
|
| 353 |
+
"Max_Ops1_Bounds-100_100",
|
| 354 |
+
"Max_Ops1_Bounds0_100",
|
| 355 |
+
"Max_Ops1_Bounds0_1000",
|
| 356 |
+
"Max_Ops2_Bounds-1000_1000",
|
| 357 |
+
"Max_Ops2_Bounds-100_100",
|
| 358 |
+
"Max_Ops2_Bounds0_100",
|
| 359 |
+
"Max_Ops2_Bounds0_1000",
|
| 360 |
+
"Max_Ops3_Bounds-1000_1000",
|
| 361 |
+
"Max_Ops3_Bounds-100_100",
|
| 362 |
+
"Max_Ops3_Bounds0_100",
|
| 363 |
+
"Max_Ops3_Bounds0_1000",
|
| 364 |
+
"Max_Ops4_Bounds-1000_1000",
|
| 365 |
+
"Max_Ops4_Bounds-100_100",
|
| 366 |
+
"Max_Ops4_Bounds0_100",
|
| 367 |
+
"Max_Ops4_Bounds0_1000",
|
| 368 |
+
"Max_Ops5_Bounds-1000_1000",
|
| 369 |
+
"Max_Ops5_Bounds-100_100",
|
| 370 |
+
"Max_Ops5_Bounds0_100",
|
| 371 |
+
"Max_Ops5_Bounds0_1000",
|
| 372 |
+
"Max_Ops6_Bounds-1000_1000",
|
| 373 |
+
"Max_Ops6_Bounds-100_100",
|
| 374 |
+
"Max_Ops6_Bounds0_100",
|
| 375 |
+
"Max_Ops6_Bounds0_1000",
|
| 376 |
+
"Max_Ops7_Bounds-1000_1000",
|
| 377 |
+
"Max_Ops7_Bounds-100_100",
|
| 378 |
+
"Max_Ops7_Bounds0_100",
|
| 379 |
+
"Max_Ops7_Bounds0_1000",
|
| 380 |
+
"Max_Ops8_Bounds-1000_1000",
|
| 381 |
+
"Max_Ops8_Bounds-100_100",
|
| 382 |
+
"Max_Ops8_Bounds0_100",
|
| 383 |
+
"Max_Ops8_Bounds0_1000",
|
| 384 |
+
"Max_Ops9_Bounds-1000_1000",
|
| 385 |
+
"Max_Ops9_Bounds-100_100",
|
| 386 |
+
"Max_Ops9_Bounds0_100",
|
| 387 |
+
"Max_Ops9_Bounds0_1000",
|
| 388 |
+
"Max_Ops10_Bounds-1000_1000",
|
| 389 |
+
"Max_Ops10_Bounds-100_100",
|
| 390 |
+
"Max_Ops10_Bounds0_100",
|
| 391 |
+
"Max_Ops10_Bounds0_1000"
|
| 392 |
+
]
|
| 393 |
+
},
|
| 394 |
+
"train": "data/Arithmetic/Curriculum_Hard",
|
| 395 |
+
"val": "data/Arithmetic/Curriculum_Hard",
|
| 396 |
+
"test": "data/Arithmetic/Curriculum_Hard",
|
| 397 |
+
"filling_field": [
|
| 398 |
+
"Question",
|
| 399 |
+
"Answer"
|
| 400 |
+
]
|
| 401 |
+
},
|
| 402 |
+
"Arithmetic_Hard_prompt_C12": {
|
| 403 |
+
"type": "list-like",
|
| 404 |
+
"dataset_purpose": "downstream",
|
| 405 |
+
"attributes": {
|
| 406 |
+
"subjects": [
|
| 407 |
+
1,
|
| 408 |
+
2,
|
| 409 |
+
3,
|
| 410 |
+
4
|
| 411 |
+
],
|
| 412 |
+
"lessons": [
|
| 413 |
+
"Max_Ops1_Bounds-1000_1000",
|
| 414 |
+
"Max_Ops1_Bounds-100_100",
|
| 415 |
+
"Max_Ops1_Bounds0_100",
|
| 416 |
+
"Max_Ops1_Bounds0_1000",
|
| 417 |
+
"Max_Ops2_Bounds-1000_1000",
|
| 418 |
+
"Max_Ops2_Bounds-100_100",
|
| 419 |
+
"Max_Ops2_Bounds0_100",
|
| 420 |
+
"Max_Ops2_Bounds0_1000",
|
| 421 |
+
"Max_Ops3_Bounds-1000_1000",
|
| 422 |
+
"Max_Ops3_Bounds-100_100",
|
| 423 |
+
"Max_Ops3_Bounds0_100",
|
| 424 |
+
"Max_Ops3_Bounds0_1000",
|
| 425 |
+
"Max_Ops4_Bounds-1000_1000",
|
| 426 |
+
"Max_Ops4_Bounds-100_100",
|
| 427 |
+
"Max_Ops4_Bounds0_100",
|
| 428 |
+
"Max_Ops4_Bounds0_1000",
|
| 429 |
+
"Max_Ops5_Bounds-1000_1000",
|
| 430 |
+
"Max_Ops5_Bounds-100_100",
|
| 431 |
+
"Max_Ops5_Bounds0_100",
|
| 432 |
+
"Max_Ops5_Bounds0_1000",
|
| 433 |
+
"Max_Ops6_Bounds-1000_1000",
|
| 434 |
+
"Max_Ops6_Bounds-100_100",
|
| 435 |
+
"Max_Ops6_Bounds0_100",
|
| 436 |
+
"Max_Ops6_Bounds0_1000",
|
| 437 |
+
"Max_Ops7_Bounds-1000_1000",
|
| 438 |
+
"Max_Ops7_Bounds-100_100",
|
| 439 |
+
"Max_Ops7_Bounds0_100",
|
| 440 |
+
"Max_Ops7_Bounds0_1000",
|
| 441 |
+
"Max_Ops8_Bounds-1000_1000",
|
| 442 |
+
"Max_Ops8_Bounds-100_100",
|
| 443 |
+
"Max_Ops8_Bounds0_100",
|
| 444 |
+
"Max_Ops8_Bounds0_1000",
|
| 445 |
+
"Max_Ops9_Bounds-1000_1000",
|
| 446 |
+
"Max_Ops9_Bounds-100_100",
|
| 447 |
+
"Max_Ops9_Bounds0_100",
|
| 448 |
+
"Max_Ops9_Bounds0_1000",
|
| 449 |
+
"Max_Ops10_Bounds-1000_1000",
|
| 450 |
+
"Max_Ops10_Bounds-100_100",
|
| 451 |
+
"Max_Ops10_Bounds0_100",
|
| 452 |
+
"Max_Ops10_Bounds0_1000"
|
| 453 |
+
]
|
| 454 |
+
},
|
| 455 |
+
"train": "data/Arithmetic/Curriculum_Hard",
|
| 456 |
+
"val": "data/Arithmetic/Curriculum_Hard",
|
| 457 |
+
"test": "data/Arithmetic/Curriculum_Hard",
|
| 458 |
+
"filling_field": [
|
| 459 |
+
"Question",
|
| 460 |
+
"Answer"
|
| 461 |
+
]
|
| 462 |
+
},
|
| 463 |
+
"Arithmetic_XHard": {
|
| 464 |
+
"type": "list-like",
|
| 465 |
+
"dataset_purpose": "downstream",
|
| 466 |
+
"attributes": {
|
| 467 |
+
"subjects": [
|
| 468 |
+
1,
|
| 469 |
+
2,
|
| 470 |
+
3,
|
| 471 |
+
4,
|
| 472 |
+
5,
|
| 473 |
+
6,
|
| 474 |
+
7,
|
| 475 |
+
8,
|
| 476 |
+
9
|
| 477 |
+
],
|
| 478 |
+
"lessons": [
|
| 479 |
+
"Max_Ops10_Bounds0_10000.json",
|
| 480 |
+
"Max_Ops10_Bounds0_1000.json",
|
| 481 |
+
"Max_Ops10_Bounds-10000_10000.json",
|
| 482 |
+
"Max_Ops10_Bounds-1000_1000.json",
|
| 483 |
+
"Max_Ops11_Bounds0_10000.json",
|
| 484 |
+
"Max_Ops11_Bounds0_1000.json",
|
| 485 |
+
"Max_Ops11_Bounds-10000_10000.json",
|
| 486 |
+
"Max_Ops11_Bounds-1000_1000.json",
|
| 487 |
+
"Max_Ops12_Bounds0_10000.json",
|
| 488 |
+
"Max_Ops12_Bounds0_1000.json",
|
| 489 |
+
"Max_Ops12_Bounds-10000_10000.json",
|
| 490 |
+
"Max_Ops12_Bounds-1000_1000.json",
|
| 491 |
+
"Max_Ops13_Bounds0_10000.json",
|
| 492 |
+
"Max_Ops13_Bounds0_1000.json",
|
| 493 |
+
"Max_Ops13_Bounds-10000_10000.json",
|
| 494 |
+
"Max_Ops13_Bounds-1000_1000.json",
|
| 495 |
+
"Max_Ops14_Bounds0_10000.json",
|
| 496 |
+
"Max_Ops14_Bounds0_1000.json",
|
| 497 |
+
"Max_Ops14_Bounds-10000_10000.json",
|
| 498 |
+
"Max_Ops14_Bounds-1000_1000.json",
|
| 499 |
+
"Max_Ops15_Bounds0_10000.json",
|
| 500 |
+
"Max_Ops15_Bounds0_1000.json",
|
| 501 |
+
"Max_Ops15_Bounds-10000_10000.json",
|
| 502 |
+
"Max_Ops15_Bounds-1000_1000.json",
|
| 503 |
+
"Max_Ops16_Bounds0_10000.json",
|
| 504 |
+
"Max_Ops16_Bounds0_1000.json",
|
| 505 |
+
"Max_Ops16_Bounds-10000_10000.json",
|
| 506 |
+
"Max_Ops16_Bounds-1000_1000.json",
|
| 507 |
+
"Max_Ops17_Bounds0_10000.json",
|
| 508 |
+
"Max_Ops17_Bounds0_1000.json",
|
| 509 |
+
"Max_Ops17_Bounds-10000_10000.json",
|
| 510 |
+
"Max_Ops17_Bounds-1000_1000.json",
|
| 511 |
+
"Max_Ops18_Bounds0_10000.json",
|
| 512 |
+
"Max_Ops18_Bounds0_1000.json",
|
| 513 |
+
"Max_Ops18_Bounds-10000_10000.json",
|
| 514 |
+
"Max_Ops18_Bounds-1000_1000.json",
|
| 515 |
+
"Max_Ops19_Bounds0_10000.json",
|
| 516 |
+
"Max_Ops19_Bounds0_1000.json",
|
| 517 |
+
"Max_Ops19_Bounds-10000_10000.json",
|
| 518 |
+
"Max_Ops19_Bounds-1000_1000.json",
|
| 519 |
+
"Max_Ops1_Bounds0_10000.json",
|
| 520 |
+
"Max_Ops1_Bounds0_1000.json",
|
| 521 |
+
"Max_Ops1_Bounds-10000_10000.json",
|
| 522 |
+
"Max_Ops1_Bounds-1000_1000.json",
|
| 523 |
+
"Max_Ops20_Bounds0_10000.json",
|
| 524 |
+
"Max_Ops20_Bounds0_1000.json",
|
| 525 |
+
"Max_Ops20_Bounds-10000_10000.json",
|
| 526 |
+
"Max_Ops20_Bounds-1000_1000.json",
|
| 527 |
+
"Max_Ops2_Bounds0_10000.json",
|
| 528 |
+
"Max_Ops2_Bounds0_1000.json",
|
| 529 |
+
"Max_Ops2_Bounds-10000_10000.json",
|
| 530 |
+
"Max_Ops2_Bounds-1000_1000.json",
|
| 531 |
+
"Max_Ops3_Bounds0_10000.json",
|
| 532 |
+
"Max_Ops3_Bounds0_1000.json",
|
| 533 |
+
"Max_Ops3_Bounds-10000_10000.json",
|
| 534 |
+
"Max_Ops3_Bounds-1000_1000.json",
|
| 535 |
+
"Max_Ops4_Bounds0_10000.json",
|
| 536 |
+
"Max_Ops4_Bounds0_1000.json",
|
| 537 |
+
"Max_Ops4_Bounds-10000_10000.json",
|
| 538 |
+
"Max_Ops4_Bounds-1000_1000.json",
|
| 539 |
+
"Max_Ops5_Bounds0_10000.json",
|
| 540 |
+
"Max_Ops5_Bounds0_1000.json",
|
| 541 |
+
"Max_Ops5_Bounds-10000_10000.json",
|
| 542 |
+
"Max_Ops5_Bounds-1000_1000.json",
|
| 543 |
+
"Max_Ops6_Bounds0_10000.json",
|
| 544 |
+
"Max_Ops6_Bounds0_1000.json",
|
| 545 |
+
"Max_Ops6_Bounds-10000_10000.json",
|
| 546 |
+
"Max_Ops6_Bounds-1000_1000.json",
|
| 547 |
+
"Max_Ops7_Bounds0_10000.json",
|
| 548 |
+
"Max_Ops7_Bounds0_1000.json",
|
| 549 |
+
"Max_Ops7_Bounds-10000_10000.json",
|
| 550 |
+
"Max_Ops7_Bounds-1000_1000.json",
|
| 551 |
+
"Max_Ops8_Bounds0_10000.json",
|
| 552 |
+
"Max_Ops8_Bounds0_1000.json",
|
| 553 |
+
"Max_Ops8_Bounds-10000_10000.json",
|
| 554 |
+
"Max_Ops8_Bounds-1000_1000.json",
|
| 555 |
+
"Max_Ops9_Bounds0_10000.json",
|
| 556 |
+
"Max_Ops9_Bounds0_1000.json",
|
| 557 |
+
"Max_Ops9_Bounds-10000_10000.json",
|
| 558 |
+
"Max_Ops9_Bounds-1000_1000.json"
|
| 559 |
+
]
|
| 560 |
+
},
|
| 561 |
+
"train": "data/Arithmetic/Curriculum_XHard",
|
| 562 |
+
"val": "data/Arithmetic/Curriculum_XHard",
|
| 563 |
+
"test": "data/Arithmetic/Curriculum_XHard",
|
| 564 |
+
"filling_field": [
|
| 565 |
+
"Question",
|
| 566 |
+
"Answer"
|
| 567 |
+
]
|
| 568 |
+
},
|
| 569 |
+
"GSM8K": {
|
| 570 |
+
"type": "local",
|
| 571 |
+
"dataset_purpose": "downstream",
|
| 572 |
+
"train_file": "data/GSM8K/GSM8K_train.json",
|
| 573 |
+
"val_file": "data/GSM8K/GSM8K_test.json",
|
| 574 |
+
"test_file": "data/GSM8K/GSM8K_dev.json",
|
| 575 |
+
"filling_field": [
|
| 576 |
+
"Body",
|
| 577 |
+
"Question",
|
| 578 |
+
"Answer"
|
| 579 |
+
]
|
| 580 |
+
},
|
| 581 |
+
"APPS": {
|
| 582 |
+
"type": "local",
|
| 583 |
+
"dataset_purpose": "downstream",
|
| 584 |
+
"train_file": "data/APPS/apps_train.json",
|
| 585 |
+
"val_file": "data/APPS/apps_test.json",
|
| 586 |
+
"test_file": "data/APPS/apps_dev.json",
|
| 587 |
+
"filling_field": [
|
| 588 |
+
"Body",
|
| 589 |
+
"Question",
|
| 590 |
+
"Answer"
|
| 591 |
+
]
|
| 592 |
+
},
|
| 593 |
+
"ghcode_python": {
|
| 594 |
+
"type": "huggingface",
|
| 595 |
+
"dataset_purpose": "pretrain",
|
| 596 |
+
"name": "slseanwu/ghcode_python_split_700k",
|
| 597 |
+
"max_eval_size": 1000,
|
| 598 |
+
"max_train_size": 160000,
|
| 599 |
+
"filling_field": [
|
| 600 |
+
"code"
|
| 601 |
+
]
|
| 602 |
+
}
|
| 603 |
+
}
|
| 604 |
+
}
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7dbf3c56b55bacde1773bb6b7271e30823177a28ab1b1a0ab88b4d8b5a78d8e8
|
| 3 |
+
size 1064
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1095 @@
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],
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"logging_steps": 100,
|
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"max_steps": 15000,
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"save_steps": 5000,
|
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"total_flos": 1.88804379967488e+18,
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"train_batch_size": 8,
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"trial_name": null,
|
| 1094 |
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| 1095 |
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}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:a3303ac2034c16851b9953b2116fac54a0666ba5d4a68472db2d7090bc1db3a4
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| 3 |
+
size 4856
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training_logs.txt
ADDED
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@@ -0,0 +1,323 @@
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|
| 1 |
+
[train dset len] 160000
|
| 2 |
+
[valid dset len] 1000
|
| 3 |
+
/usr0/home/liangzel/anaconda3/envs/air2/lib/python3.11/site-packages/accelerate/accelerator.py:432:
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| 4 |
+
FutureWarning: Passing the following arguments to `Accelerator` is deprecated
|
| 5 |
+
and will be removed in version 1.0 of Accelerate: dict_keys(['dispatch_batches',
|
| 6 |
+
'split_batches', 'even_batches', 'use_seedable_sampler']). Please pass an
|
| 7 |
+
`accelerate.DataLoaderConfiguration` instead:
|
| 8 |
+
dataloader_config = DataLoaderConfiguration(dispatch_batches=None,
|
| 9 |
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split_batches=False, even_batches=True, use_seedable_sampler=True)
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warnings.warn(
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{'loss': 0.9803, 'grad_norm': 1.0555673837661743, 'learning_rate':
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1.9866666666666667e-05, 'epoch': 0.02}
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{'loss': 0.9472, 'grad_norm': 0.8154662251472473, 'learning_rate':
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{'loss': 0.9496, 'grad_norm': 0.8507415652275085, 'learning_rate':
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{'loss': 0.9416, 'grad_norm': 0.9045298099517822, 'learning_rate':
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{'loss': 0.9501, 'grad_norm': 1.2995306253433228, 'learning_rate':
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1.9200000000000003e-05, 'epoch': 0.12}
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{'loss': 0.929, 'grad_norm': 0.8860793709754944, 'learning_rate':
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1.9066666666666668e-05, 'epoch': 0.14}
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{'loss': 0.9323, 'grad_norm': 0.8791409134864807, 'learning_rate':
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1.8933333333333334e-05, 'epoch': 0.16}
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{'loss': 0.9252, 'grad_norm': 0.868554949760437, 'learning_rate': 1.88e-05,
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'epoch': 0.18}
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{'loss': 0.916, 'grad_norm': 0.7996535301208496, 'learning_rate':
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1.866666666666667e-05, 'epoch': 0.2}
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{'loss': 0.9267, 'grad_norm': 0.9991319179534912, 'learning_rate':
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{'loss': 0.9281, 'grad_norm': 1.0026607513427734, 'learning_rate':
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{'loss': 0.9272, 'grad_norm': 0.860996663570404, 'learning_rate':
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{'loss': 0.9277, 'grad_norm': 0.8613474369049072, 'learning_rate':
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{'loss': 0.9293, 'grad_norm': 0.8491615653038025, 'learning_rate': 1.8e-05,
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'epoch': 0.3}
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{'loss': 0.917, 'grad_norm': 0.9264828562736511, 'learning_rate':
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1.7866666666666666e-05, 'epoch': 0.32}
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{'loss': 0.9325, 'grad_norm': 0.8633733987808228, 'learning_rate':
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{'loss': 0.9126, 'grad_norm': 0.8906639218330383, 'learning_rate': 1.76e-05,
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'epoch': 0.36}
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{'loss': 0.9065, 'grad_norm': 0.885764479637146, 'learning_rate':
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{'loss': 0.9429, 'grad_norm': 0.8839893937110901, 'learning_rate':
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{'loss': 0.9056, 'grad_norm': 0.913644552230835, 'learning_rate': 1.72e-05,
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'epoch': 0.42}
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{'loss': 0.913, 'grad_norm': 0.8399360179901123, 'learning_rate':
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1.706666666666667e-05, 'epoch': 0.44}
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{'loss': 0.9192, 'grad_norm': 0.8176397681236267, 'learning_rate':
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{'loss': 0.9222, 'grad_norm': 0.8771522045135498, 'learning_rate':
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1.6800000000000002e-05, 'epoch': 0.48}
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{'loss': 0.9197, 'grad_norm': 0.7874905467033386, 'learning_rate':
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1.6666666666666667e-05, 'epoch': 0.5}
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{'loss': 0.91, 'grad_norm': 0.8051652312278748, 'learning_rate':
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1.6533333333333333e-05, 'epoch': 0.52}
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{'loss': 0.9091, 'grad_norm': 0.80189049243927, 'learning_rate': 1.64e-05,
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'epoch': 0.54}
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{'loss': 0.9111, 'grad_norm': 0.7678588032722473, 'learning_rate':
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1.6266666666666668e-05, 'epoch': 0.56}
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{'loss': 0.9127, 'grad_norm': 0.7835684418678284, 'learning_rate':
|
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1.6133333333333334e-05, 'epoch': 0.58}
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{'loss': 0.9038, 'grad_norm': 0.8735753297805786, 'learning_rate':
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{'loss': 0.9123, 'grad_norm': 0.8477209210395813, 'learning_rate':
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{'loss': 0.8898, 'grad_norm': 0.7765554785728455, 'learning_rate':
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|
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{'loss': 0.8992, 'grad_norm': 0.891146183013916, 'learning_rate':
|
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|
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{'loss': 0.9114, 'grad_norm': 0.8695024251937866, 'learning_rate':
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{'loss': 0.89, 'grad_norm': 0.927379846572876, 'learning_rate':
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|
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{'loss': 0.9159, 'grad_norm': 0.885179340839386, 'learning_rate':
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{'loss': 0.9115, 'grad_norm': 0.9603422284126282, 'learning_rate':
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1.4933333333333335e-05, 'epoch': 0.76}
|
| 87 |
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{'loss': 0.9025, 'grad_norm': 0.8624181151390076, 'learning_rate': 1.48e-05,
|
| 88 |
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'epoch': 0.78}
|
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{'loss': 0.8984, 'grad_norm': 0.9430868625640869, 'learning_rate':
|
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1.4666666666666666e-05, 'epoch': 0.8}
|
| 91 |
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{'loss': 0.8887, 'grad_norm': 0.7860404849052429, 'learning_rate':
|
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|
| 93 |
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{'loss': 0.9097, 'grad_norm': 0.793118417263031, 'learning_rate':
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{'eval_loss': 0.88493812084198, 'eval_runtime': 62.115,
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