Instructions to use keisuke-miyako/bge-m3-doc-r2-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use keisuke-miyako/bge-m3-doc-r2-adapter with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("keisuke-miyako/bge-m3-doc-R1-merged") model = PeftModel.from_pretrained(base_model, "keisuke-miyako/bge-m3-doc-r2-adapter") - Notebooks
- Google Colab
- Kaggle
r2 upload — LoRA adapter
Browse files- README.md +1 -1
- adapter_config.json +1 -1
- adapter_model.safetensors +1 -1
- training-loss.csv +329 -287
- training-loss.png +0 -0
README.md
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# bge-m3-doc-r2 LoRA adapter
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LoRA adapter (r=32) fine-tuned on 4D doc document embeddings.
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-
Dataset: [keisuke-miyako/doc-2026-
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## Load
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```python
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# bge-m3-doc-r2 LoRA adapter
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LoRA adapter (r=32) fine-tuned on 4D doc document embeddings.
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+
Dataset: [keisuke-miyako/doc-2026-0612](https://huggingface.co/datasets/keisuke-miyako/doc-2026-0612)
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## Load
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```python
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"value",
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"query",
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-
"key",
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"dense"
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],
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"task_type": "FEATURE_EXTRACTION",
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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+
"key",
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"value",
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"query",
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"dense"
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],
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"task_type": "FEATURE_EXTRACTION",
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 56925120
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:69cb761a3c299ea4962acd15ec520f46e816d61dacf53ce0c34be04d4b73df44
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size 56925120
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training-loss.csv
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| 151 |
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| 180 |
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| 181 |
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| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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1900,0.2623
|
| 192 |
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1910,0.2717
|
| 193 |
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1920,0.2619
|
| 194 |
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1930,0.2876
|
| 195 |
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1940,0.2484
|
| 196 |
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1950,0.2532
|
| 197 |
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1960,0.2734
|
| 198 |
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1970,0.2695
|
| 199 |
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1980,0.2629
|
| 200 |
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1990,0.2528
|
| 201 |
+
2000,0.2581
|
| 202 |
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|
| 203 |
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|
| 204 |
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2030,0.2488
|
| 205 |
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2040,0.2449
|
| 206 |
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2050,0.2533
|
| 207 |
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2060,0.2392
|
| 208 |
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2070,0.2587
|
| 209 |
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2080,0.2643
|
| 210 |
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2090,0.2633
|
| 211 |
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2100,0.2301
|
| 212 |
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2110,0.2412
|
| 213 |
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2120,0.2604
|
| 214 |
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2130,0.2484
|
| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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2190,0.2291
|
| 221 |
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2200,0.244
|
| 222 |
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2210,0.263
|
| 223 |
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2220,0.2421
|
| 224 |
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2230,0.2436
|
| 225 |
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2240,0.2646
|
| 226 |
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2250,0.27
|
| 227 |
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2260,0.2444
|
| 228 |
+
2270,0.2208
|
| 229 |
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2280,0.247
|
| 230 |
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2290,0.269
|
| 231 |
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2300,0.2365
|
| 232 |
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2310,0.2559
|
| 233 |
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2320,0.2332
|
| 234 |
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2330,0.2462
|
| 235 |
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2340,0.2754
|
| 236 |
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2350,0.269
|
| 237 |
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2360,0.2556
|
| 238 |
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2370,0.249
|
| 239 |
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2380,0.2529
|
| 240 |
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2390,0.2244
|
| 241 |
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2400,0.2436
|
| 242 |
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2410,0.2397
|
| 243 |
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2420,0.2625
|
| 244 |
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2430,0.2273
|
| 245 |
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2440,0.254
|
| 246 |
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2450,0.2442
|
| 247 |
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2460,0.2674
|
| 248 |
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2470,0.2698
|
| 249 |
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2480,0.2311
|
| 250 |
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2490,0.2504
|
| 251 |
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2500,0.2633
|
| 252 |
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2510,0.2636
|
| 253 |
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2520,0.2953
|
| 254 |
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2530,0.248
|
| 255 |
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2540,0.2621
|
| 256 |
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2550,0.24
|
| 257 |
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2560,0.2642
|
| 258 |
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2570,0.2485
|
| 259 |
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2580,0.2637
|
| 260 |
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2590,0.2627
|
| 261 |
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2600,0.2184
|
| 262 |
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2610,0.2389
|
| 263 |
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2620,0.2378
|
| 264 |
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2630,0.2617
|
| 265 |
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2640,0.2222
|
| 266 |
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2650,0.2328
|
| 267 |
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2660,0.2362
|
| 268 |
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2670,0.2351
|
| 269 |
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2680,0.256
|
| 270 |
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2690,0.2412
|
| 271 |
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2700,0.2441
|
| 272 |
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2710,0.2434
|
| 273 |
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2720,0.2366
|
| 274 |
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2730,0.2489
|
| 275 |
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2740,0.2482
|
| 276 |
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2750,0.2333
|
| 277 |
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2760,0.2462
|
| 278 |
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2770,0.2468
|
| 279 |
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2780,0.2644
|
| 280 |
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2790,0.2636
|
| 281 |
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2800,0.2771
|
| 282 |
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2810,0.2504
|
| 283 |
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2820,0.246
|
| 284 |
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2830,0.217
|
| 285 |
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2840,0.2502
|
| 286 |
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2850,0.2495
|
| 287 |
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2860,0.2275
|
| 288 |
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2870,0.2398
|
| 289 |
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2880,0.261
|
| 290 |
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2890,0.2229
|
| 291 |
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2900,0.2385
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| 292 |
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2910,0.2489
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| 293 |
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2920,0.2478
|
| 294 |
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2930,0.2688
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| 295 |
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2940,0.2505
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| 296 |
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2950,0.2528
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| 297 |
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2960,0.232
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| 298 |
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2970,0.2272
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| 299 |
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2980,0.2238
|
| 300 |
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2990,0.2406
|
| 301 |
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3000,0.2457
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| 302 |
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3010,0.2307
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| 303 |
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3020,0.2542
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| 304 |
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3030,0.2317
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| 305 |
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3040,0.2599
|
| 306 |
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3050,0.2821
|
| 307 |
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3060,0.2489
|
| 308 |
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3070,0.2547
|
| 309 |
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3080,0.2315
|
| 310 |
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3090,0.2682
|
| 311 |
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3100,0.2445
|
| 312 |
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3110,0.2508
|
| 313 |
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3120,0.2657
|
| 314 |
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3130,0.255
|
| 315 |
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3140,0.2507
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| 316 |
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3150,0.2609
|
| 317 |
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3160,0.2314
|
| 318 |
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3170,0.2546
|
| 319 |
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3180,0.2603
|
| 320 |
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3190,0.2567
|
| 321 |
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3200,0.2781
|
| 322 |
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3210,0.2408
|
| 323 |
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3220,0.2554
|
| 324 |
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3230,0.2436
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| 325 |
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3240,0.263
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| 326 |
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3250,0.2348
|
| 327 |
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3260,0.2411
|
| 328 |
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3270,0.2517
|
| 329 |
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3280,0.2524
|
| 330 |
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3290,0.2305
|
training-loss.png
CHANGED
|
|