Instructions to use nmarafo/Gemma-7B-it-4bit-TrueFalse-Feedback with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nmarafo/Gemma-7B-it-4bit-TrueFalse-Feedback with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-7b-it") model = PeftModel.from_pretrained(base_model, "nmarafo/Gemma-7B-it-4bit-TrueFalse-Feedback") - Notebooks
- Google Colab
- Kaggle
Upload 12 files
Browse files- adapter_config.json +5 -5
- adapter_model.safetensors +1 -1
- optimizer.pt +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +33 -313
- training_args.bin +1 -1
adapter_config.json
CHANGED
|
@@ -19,13 +19,13 @@
|
|
| 19 |
"rank_pattern": {},
|
| 20 |
"revision": null,
|
| 21 |
"target_modules": [
|
| 22 |
-
"q_proj",
|
| 23 |
-
"up_proj",
|
| 24 |
"k_proj",
|
| 25 |
-
"down_proj",
|
| 26 |
"gate_proj",
|
| 27 |
-
"
|
| 28 |
-
"
|
|
|
|
|
|
|
|
|
|
| 29 |
],
|
| 30 |
"task_type": "CAUSAL_LM",
|
| 31 |
"use_rslora": false
|
|
|
|
| 19 |
"rank_pattern": {},
|
| 20 |
"revision": null,
|
| 21 |
"target_modules": [
|
|
|
|
|
|
|
| 22 |
"k_proj",
|
|
|
|
| 23 |
"gate_proj",
|
| 24 |
+
"up_proj",
|
| 25 |
+
"q_proj",
|
| 26 |
+
"v_proj",
|
| 27 |
+
"down_proj",
|
| 28 |
+
"o_proj"
|
| 29 |
],
|
| 30 |
"task_type": "CAUSAL_LM",
|
| 31 |
"use_rslora": false
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 100059752
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fbc3576307cf44ce9d7035b9a3aafb9a2b1e2b81056bc5cd464d9625dd418096
|
| 3 |
size 100059752
|
optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 50545780
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cad169389767a1102d07c3157ee244ec7b5485cb66191bebe939d24560c538c4
|
| 3 |
size 50545780
|
rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14244
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d245e05e72192c132e0f2edb6fdcae0c578c890f0fe912f17ec7b0bba2d38cc3
|
| 3 |
size 14244
|
scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1064
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a6f4d2b44e7b6291612b138962c82e22b66be3188e99394e29c3a567af8e3db1
|
| 3 |
size 1064
|
trainer_state.json
CHANGED
|
@@ -1,370 +1,90 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch":
|
| 5 |
"eval_steps": 500,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 1.0,
|
| 13 |
-
"grad_norm":
|
| 14 |
"learning_rate": 0.0001,
|
| 15 |
-
"loss": 1.
|
| 16 |
"step": 1
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 2.0,
|
| 20 |
-
"grad_norm":
|
| 21 |
"learning_rate": 0.0002,
|
| 22 |
-
"loss": 1.
|
| 23 |
"step": 2
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"epoch": 3.0,
|
| 27 |
-
"grad_norm": 1.
|
| 28 |
-
"learning_rate": 0.
|
| 29 |
-
"loss": 0.
|
| 30 |
"step": 3
|
| 31 |
},
|
| 32 |
{
|
| 33 |
"epoch": 4.0,
|
| 34 |
-
"grad_norm": 1.
|
| 35 |
-
"learning_rate": 0.
|
| 36 |
-
"loss": 0.
|
| 37 |
"step": 4
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"epoch": 5.0,
|
| 41 |
-
"grad_norm": 1.
|
| 42 |
-
"learning_rate": 0.
|
| 43 |
-
"loss": 0.
|
| 44 |
"step": 5
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 6.0,
|
| 48 |
-
"grad_norm":
|
| 49 |
-
"learning_rate": 0.
|
| 50 |
-
"loss": 0.
|
| 51 |
"step": 6
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 7.0,
|
| 55 |
-
"grad_norm": 0.
|
| 56 |
-
"learning_rate": 0.
|
| 57 |
-
"loss": 0.
|
| 58 |
"step": 7
|
| 59 |
},
|
| 60 |
{
|
| 61 |
"epoch": 8.0,
|
| 62 |
-
"grad_norm": 0.
|
| 63 |
-
"learning_rate": 0.
|
| 64 |
-
"loss": 0.
|
| 65 |
"step": 8
|
| 66 |
},
|
| 67 |
{
|
| 68 |
"epoch": 9.0,
|
| 69 |
-
"grad_norm": 0.
|
| 70 |
-
"learning_rate": 0.
|
| 71 |
-
"loss": 0.
|
| 72 |
"step": 9
|
| 73 |
},
|
| 74 |
{
|
| 75 |
"epoch": 10.0,
|
| 76 |
-
"grad_norm": 0.
|
| 77 |
-
"learning_rate": 0.
|
| 78 |
-
"loss": 0.
|
| 79 |
"step": 10
|
| 80 |
-
},
|
| 81 |
-
{
|
| 82 |
-
"epoch": 11.0,
|
| 83 |
-
"grad_norm": 1.1459858417510986,
|
| 84 |
-
"learning_rate": 0.0001816326530612245,
|
| 85 |
-
"loss": 0.0856,
|
| 86 |
-
"step": 11
|
| 87 |
-
},
|
| 88 |
-
{
|
| 89 |
-
"epoch": 12.0,
|
| 90 |
-
"grad_norm": 0.3908502459526062,
|
| 91 |
-
"learning_rate": 0.0001795918367346939,
|
| 92 |
-
"loss": 0.0719,
|
| 93 |
-
"step": 12
|
| 94 |
-
},
|
| 95 |
-
{
|
| 96 |
-
"epoch": 13.0,
|
| 97 |
-
"grad_norm": 9.051756858825684,
|
| 98 |
-
"learning_rate": 0.00017755102040816327,
|
| 99 |
-
"loss": 0.0923,
|
| 100 |
-
"step": 13
|
| 101 |
-
},
|
| 102 |
-
{
|
| 103 |
-
"epoch": 14.0,
|
| 104 |
-
"grad_norm": 0.6290709972381592,
|
| 105 |
-
"learning_rate": 0.00017551020408163265,
|
| 106 |
-
"loss": 0.0629,
|
| 107 |
-
"step": 14
|
| 108 |
-
},
|
| 109 |
-
{
|
| 110 |
-
"epoch": 15.0,
|
| 111 |
-
"grad_norm": 0.3718617260456085,
|
| 112 |
-
"learning_rate": 0.00017346938775510205,
|
| 113 |
-
"loss": 0.0558,
|
| 114 |
-
"step": 15
|
| 115 |
-
},
|
| 116 |
-
{
|
| 117 |
-
"epoch": 16.0,
|
| 118 |
-
"grad_norm": 2.362645387649536,
|
| 119 |
-
"learning_rate": 0.00017142857142857143,
|
| 120 |
-
"loss": 0.0484,
|
| 121 |
-
"step": 16
|
| 122 |
-
},
|
| 123 |
-
{
|
| 124 |
-
"epoch": 17.0,
|
| 125 |
-
"grad_norm": 0.40503254532814026,
|
| 126 |
-
"learning_rate": 0.00016938775510204083,
|
| 127 |
-
"loss": 0.0402,
|
| 128 |
-
"step": 17
|
| 129 |
-
},
|
| 130 |
-
{
|
| 131 |
-
"epoch": 18.0,
|
| 132 |
-
"grad_norm": 0.4263724982738495,
|
| 133 |
-
"learning_rate": 0.00016734693877551023,
|
| 134 |
-
"loss": 0.031,
|
| 135 |
-
"step": 18
|
| 136 |
-
},
|
| 137 |
-
{
|
| 138 |
-
"epoch": 19.0,
|
| 139 |
-
"grad_norm": 0.4310762882232666,
|
| 140 |
-
"learning_rate": 0.0001653061224489796,
|
| 141 |
-
"loss": 0.0203,
|
| 142 |
-
"step": 19
|
| 143 |
-
},
|
| 144 |
-
{
|
| 145 |
-
"epoch": 20.0,
|
| 146 |
-
"grad_norm": 0.30944424867630005,
|
| 147 |
-
"learning_rate": 0.00016326530612244898,
|
| 148 |
-
"loss": 0.0108,
|
| 149 |
-
"step": 20
|
| 150 |
-
},
|
| 151 |
-
{
|
| 152 |
-
"epoch": 21.0,
|
| 153 |
-
"grad_norm": 1.028169870376587,
|
| 154 |
-
"learning_rate": 0.00016122448979591838,
|
| 155 |
-
"loss": 0.0074,
|
| 156 |
-
"step": 21
|
| 157 |
-
},
|
| 158 |
-
{
|
| 159 |
-
"epoch": 22.0,
|
| 160 |
-
"grad_norm": 0.04014270380139351,
|
| 161 |
-
"learning_rate": 0.00015918367346938776,
|
| 162 |
-
"loss": 0.0049,
|
| 163 |
-
"step": 22
|
| 164 |
-
},
|
| 165 |
-
{
|
| 166 |
-
"epoch": 23.0,
|
| 167 |
-
"grad_norm": 0.05887392908334732,
|
| 168 |
-
"learning_rate": 0.00015714285714285716,
|
| 169 |
-
"loss": 0.0047,
|
| 170 |
-
"step": 23
|
| 171 |
-
},
|
| 172 |
-
{
|
| 173 |
-
"epoch": 24.0,
|
| 174 |
-
"grad_norm": 0.03721626475453377,
|
| 175 |
-
"learning_rate": 0.00015510204081632654,
|
| 176 |
-
"loss": 0.0045,
|
| 177 |
-
"step": 24
|
| 178 |
-
},
|
| 179 |
-
{
|
| 180 |
-
"epoch": 25.0,
|
| 181 |
-
"grad_norm": 0.028165677562355995,
|
| 182 |
-
"learning_rate": 0.0001530612244897959,
|
| 183 |
-
"loss": 0.0044,
|
| 184 |
-
"step": 25
|
| 185 |
-
},
|
| 186 |
-
{
|
| 187 |
-
"epoch": 26.0,
|
| 188 |
-
"grad_norm": 0.04805993288755417,
|
| 189 |
-
"learning_rate": 0.0001510204081632653,
|
| 190 |
-
"loss": 0.0044,
|
| 191 |
-
"step": 26
|
| 192 |
-
},
|
| 193 |
-
{
|
| 194 |
-
"epoch": 27.0,
|
| 195 |
-
"grad_norm": 0.01522037573158741,
|
| 196 |
-
"learning_rate": 0.00014897959183673472,
|
| 197 |
-
"loss": 0.0044,
|
| 198 |
-
"step": 27
|
| 199 |
-
},
|
| 200 |
-
{
|
| 201 |
-
"epoch": 28.0,
|
| 202 |
-
"grad_norm": 0.03575819730758667,
|
| 203 |
-
"learning_rate": 0.0001469387755102041,
|
| 204 |
-
"loss": 0.0044,
|
| 205 |
-
"step": 28
|
| 206 |
-
},
|
| 207 |
-
{
|
| 208 |
-
"epoch": 29.0,
|
| 209 |
-
"grad_norm": 0.015163887292146683,
|
| 210 |
-
"learning_rate": 0.0001448979591836735,
|
| 211 |
-
"loss": 0.0043,
|
| 212 |
-
"step": 29
|
| 213 |
-
},
|
| 214 |
-
{
|
| 215 |
-
"epoch": 30.0,
|
| 216 |
-
"grad_norm": 0.04816267639398575,
|
| 217 |
-
"learning_rate": 0.00014285714285714287,
|
| 218 |
-
"loss": 0.0044,
|
| 219 |
-
"step": 30
|
| 220 |
-
},
|
| 221 |
-
{
|
| 222 |
-
"epoch": 31.0,
|
| 223 |
-
"grad_norm": 0.013516299426555634,
|
| 224 |
-
"learning_rate": 0.00014081632653061224,
|
| 225 |
-
"loss": 0.0043,
|
| 226 |
-
"step": 31
|
| 227 |
-
},
|
| 228 |
-
{
|
| 229 |
-
"epoch": 32.0,
|
| 230 |
-
"grad_norm": 0.03639404475688934,
|
| 231 |
-
"learning_rate": 0.00013877551020408165,
|
| 232 |
-
"loss": 0.0044,
|
| 233 |
-
"step": 32
|
| 234 |
-
},
|
| 235 |
-
{
|
| 236 |
-
"epoch": 33.0,
|
| 237 |
-
"grad_norm": 0.01309999544173479,
|
| 238 |
-
"learning_rate": 0.00013673469387755102,
|
| 239 |
-
"loss": 0.0043,
|
| 240 |
-
"step": 33
|
| 241 |
-
},
|
| 242 |
-
{
|
| 243 |
-
"epoch": 34.0,
|
| 244 |
-
"grad_norm": 0.014071361161768436,
|
| 245 |
-
"learning_rate": 0.0001346938775510204,
|
| 246 |
-
"loss": 0.0043,
|
| 247 |
-
"step": 34
|
| 248 |
-
},
|
| 249 |
-
{
|
| 250 |
-
"epoch": 35.0,
|
| 251 |
-
"grad_norm": 0.017163768410682678,
|
| 252 |
-
"learning_rate": 0.0001326530612244898,
|
| 253 |
-
"loss": 0.0043,
|
| 254 |
-
"step": 35
|
| 255 |
-
},
|
| 256 |
-
{
|
| 257 |
-
"epoch": 36.0,
|
| 258 |
-
"grad_norm": 0.03140578046441078,
|
| 259 |
-
"learning_rate": 0.00013061224489795917,
|
| 260 |
-
"loss": 0.0044,
|
| 261 |
-
"step": 36
|
| 262 |
-
},
|
| 263 |
-
{
|
| 264 |
-
"epoch": 37.0,
|
| 265 |
-
"grad_norm": 0.023640567436814308,
|
| 266 |
-
"learning_rate": 0.00012857142857142858,
|
| 267 |
-
"loss": 0.0043,
|
| 268 |
-
"step": 37
|
| 269 |
-
},
|
| 270 |
-
{
|
| 271 |
-
"epoch": 38.0,
|
| 272 |
-
"grad_norm": 0.017914315685629845,
|
| 273 |
-
"learning_rate": 0.00012653061224489798,
|
| 274 |
-
"loss": 0.0043,
|
| 275 |
-
"step": 38
|
| 276 |
-
},
|
| 277 |
-
{
|
| 278 |
-
"epoch": 39.0,
|
| 279 |
-
"grad_norm": 0.025304120033979416,
|
| 280 |
-
"learning_rate": 0.00012448979591836735,
|
| 281 |
-
"loss": 0.0043,
|
| 282 |
-
"step": 39
|
| 283 |
-
},
|
| 284 |
-
{
|
| 285 |
-
"epoch": 40.0,
|
| 286 |
-
"grad_norm": 0.01872032880783081,
|
| 287 |
-
"learning_rate": 0.00012244897959183676,
|
| 288 |
-
"loss": 0.0043,
|
| 289 |
-
"step": 40
|
| 290 |
-
},
|
| 291 |
-
{
|
| 292 |
-
"epoch": 41.0,
|
| 293 |
-
"grad_norm": 0.020662743598222733,
|
| 294 |
-
"learning_rate": 0.00012040816326530613,
|
| 295 |
-
"loss": 0.0043,
|
| 296 |
-
"step": 41
|
| 297 |
-
},
|
| 298 |
-
{
|
| 299 |
-
"epoch": 42.0,
|
| 300 |
-
"grad_norm": 0.006046542432159185,
|
| 301 |
-
"learning_rate": 0.00011836734693877552,
|
| 302 |
-
"loss": 0.0043,
|
| 303 |
-
"step": 42
|
| 304 |
-
},
|
| 305 |
-
{
|
| 306 |
-
"epoch": 43.0,
|
| 307 |
-
"grad_norm": 0.04898548126220703,
|
| 308 |
-
"learning_rate": 0.0001163265306122449,
|
| 309 |
-
"loss": 0.0043,
|
| 310 |
-
"step": 43
|
| 311 |
-
},
|
| 312 |
-
{
|
| 313 |
-
"epoch": 44.0,
|
| 314 |
-
"grad_norm": 0.03499221429228783,
|
| 315 |
-
"learning_rate": 0.00011428571428571428,
|
| 316 |
-
"loss": 0.0043,
|
| 317 |
-
"step": 44
|
| 318 |
-
},
|
| 319 |
-
{
|
| 320 |
-
"epoch": 45.0,
|
| 321 |
-
"grad_norm": 0.03172151744365692,
|
| 322 |
-
"learning_rate": 0.00011224489795918367,
|
| 323 |
-
"loss": 0.0043,
|
| 324 |
-
"step": 45
|
| 325 |
-
},
|
| 326 |
-
{
|
| 327 |
-
"epoch": 46.0,
|
| 328 |
-
"grad_norm": 0.03858642280101776,
|
| 329 |
-
"learning_rate": 0.00011020408163265306,
|
| 330 |
-
"loss": 0.0044,
|
| 331 |
-
"step": 46
|
| 332 |
-
},
|
| 333 |
-
{
|
| 334 |
-
"epoch": 47.0,
|
| 335 |
-
"grad_norm": 0.05879056453704834,
|
| 336 |
-
"learning_rate": 0.00010816326530612246,
|
| 337 |
-
"loss": 0.0044,
|
| 338 |
-
"step": 47
|
| 339 |
-
},
|
| 340 |
-
{
|
| 341 |
-
"epoch": 48.0,
|
| 342 |
-
"grad_norm": 0.02806887961924076,
|
| 343 |
-
"learning_rate": 0.00010612244897959185,
|
| 344 |
-
"loss": 0.0043,
|
| 345 |
-
"step": 48
|
| 346 |
-
},
|
| 347 |
-
{
|
| 348 |
-
"epoch": 49.0,
|
| 349 |
-
"grad_norm": 0.04892841354012489,
|
| 350 |
-
"learning_rate": 0.00010408163265306123,
|
| 351 |
-
"loss": 0.0044,
|
| 352 |
-
"step": 49
|
| 353 |
-
},
|
| 354 |
-
{
|
| 355 |
-
"epoch": 50.0,
|
| 356 |
-
"grad_norm": 0.028942273929715157,
|
| 357 |
-
"learning_rate": 0.00010204081632653062,
|
| 358 |
-
"loss": 0.0043,
|
| 359 |
-
"step": 50
|
| 360 |
}
|
| 361 |
],
|
| 362 |
"logging_steps": 1,
|
| 363 |
-
"max_steps":
|
| 364 |
"num_input_tokens_seen": 0,
|
| 365 |
-
"num_train_epochs":
|
| 366 |
"save_steps": 500,
|
| 367 |
-
"total_flos":
|
| 368 |
"train_batch_size": 1,
|
| 369 |
"trial_name": null,
|
| 370 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 10.0,
|
| 5 |
"eval_steps": 500,
|
| 6 |
+
"global_step": 10,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 1.0,
|
| 13 |
+
"grad_norm": 3.2200822830200195,
|
| 14 |
"learning_rate": 0.0001,
|
| 15 |
+
"loss": 1.1272,
|
| 16 |
"step": 1
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 2.0,
|
| 20 |
+
"grad_norm": 3.2200822830200195,
|
| 21 |
"learning_rate": 0.0002,
|
| 22 |
+
"loss": 1.1272,
|
| 23 |
"step": 2
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"epoch": 3.0,
|
| 27 |
+
"grad_norm": 1.8294692039489746,
|
| 28 |
+
"learning_rate": 0.0001995983935742972,
|
| 29 |
+
"loss": 0.8989,
|
| 30 |
"step": 3
|
| 31 |
},
|
| 32 |
{
|
| 33 |
"epoch": 4.0,
|
| 34 |
+
"grad_norm": 1.9677034616470337,
|
| 35 |
+
"learning_rate": 0.0001991967871485944,
|
| 36 |
+
"loss": 0.6342,
|
| 37 |
"step": 4
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"epoch": 5.0,
|
| 41 |
+
"grad_norm": 1.3022174835205078,
|
| 42 |
+
"learning_rate": 0.00019879518072289158,
|
| 43 |
+
"loss": 0.3798,
|
| 44 |
"step": 5
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 6.0,
|
| 48 |
+
"grad_norm": 0.9234146475791931,
|
| 49 |
+
"learning_rate": 0.00019839357429718877,
|
| 50 |
+
"loss": 0.1889,
|
| 51 |
"step": 6
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 7.0,
|
| 55 |
+
"grad_norm": 0.6237850785255432,
|
| 56 |
+
"learning_rate": 0.00019799196787148596,
|
| 57 |
+
"loss": 0.1014,
|
| 58 |
"step": 7
|
| 59 |
},
|
| 60 |
{
|
| 61 |
"epoch": 8.0,
|
| 62 |
+
"grad_norm": 0.20204997062683105,
|
| 63 |
+
"learning_rate": 0.00019759036144578314,
|
| 64 |
+
"loss": 0.0767,
|
| 65 |
"step": 8
|
| 66 |
},
|
| 67 |
{
|
| 68 |
"epoch": 9.0,
|
| 69 |
+
"grad_norm": 0.2050553411245346,
|
| 70 |
+
"learning_rate": 0.00019718875502008033,
|
| 71 |
+
"loss": 0.0744,
|
| 72 |
"step": 9
|
| 73 |
},
|
| 74 |
{
|
| 75 |
"epoch": 10.0,
|
| 76 |
+
"grad_norm": 0.16611504554748535,
|
| 77 |
+
"learning_rate": 0.00019678714859437752,
|
| 78 |
+
"loss": 0.0711,
|
| 79 |
"step": 10
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 80 |
}
|
| 81 |
],
|
| 82 |
"logging_steps": 1,
|
| 83 |
+
"max_steps": 500,
|
| 84 |
"num_input_tokens_seen": 0,
|
| 85 |
+
"num_train_epochs": 500,
|
| 86 |
"save_steps": 500,
|
| 87 |
+
"total_flos": 77451458764800.0,
|
| 88 |
"train_batch_size": 1,
|
| 89 |
"trial_name": null,
|
| 90 |
"trial_params": null
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4984
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f2fd876d19bbf30d7b89395ffb800c42675421fc4cbcca0c7ced1806676ee618
|
| 3 |
size 4984
|