checkpoint-39932 | step 39932 | loss 0.0000 | 99.8% complete
Browse files- .gitattributes +1 -0
- checkpoint-39932/README.md +894 -0
- checkpoint-39932/adapter_config.json +48 -0
- checkpoint-39932/adapter_model.safetensors +3 -0
- checkpoint-39932/chat_template.jinja +54 -0
- checkpoint-39932/optimizer.pt +3 -0
- checkpoint-39932/rng_state.pth +3 -0
- checkpoint-39932/scheduler.pt +3 -0
- checkpoint-39932/tokenizer.json +3 -0
- checkpoint-39932/tokenizer_config.json +30 -0
- checkpoint-39932/trainer_state.json +0 -0
- checkpoint-39932/training_args.bin +3 -0
.gitattributes
CHANGED
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@@ -96,3 +96,4 @@ checkpoint-37002/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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| 96 |
checkpoint-38001/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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| 97 |
checkpoint-38195/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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| 98 |
checkpoint-39000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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| 96 |
checkpoint-38001/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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| 97 |
checkpoint-38195/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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| 98 |
checkpoint-39000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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| 99 |
+
checkpoint-39932/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-39932/README.md
ADDED
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@@ -0,0 +1,894 @@
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| 1 |
+
# ScriptSwiftAI v12 (Dikshan)
|
| 2 |
+
|
| 3 |
+
> QLoRA fine-tuned full-stack code generation model by **Dikshan** (India).
|
| 4 |
+
> Covers Python, Django, Flask, FastAPI, React, Next.js, TypeScript, SQL, Docker.
|
| 5 |
+
|
| 6 |
+
---
|
| 7 |
+
|
| 8 |
+
## License
|
| 9 |
+
|
| 10 |
+
**CC BY-NC 4.0** — Non-commercial use only. Must credit Dikshan / ScriptSwiftAI.
|
| 11 |
+
https://creativecommons.org/licenses/by-nc/4.0/
|
| 12 |
+
|
| 13 |
+
**Copyright © 2026 Dikshan. All rights reserved.**
|
| 14 |
+
|
| 15 |
+
---
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
| Property | Value |
|
| 20 |
+
|---|---|
|
| 21 |
+
| **Base Model** | Qwen2.5-Coder-7B-Instruct |
|
| 22 |
+
| **Method** | QLoRA (4-bit, r=64) |
|
| 23 |
+
| **Hardware** | NVIDIA RTX 5070 Ti 16GB |
|
| 24 |
+
| **Target Steps** | 40,000 |
|
| 25 |
+
| **Dataset** | ~450-500k samples (17 datasets) |
|
| 26 |
+
| **Max Length** | 1536 tokens |
|
| 27 |
+
| **Developer** | Dikshan (India) |
|
| 28 |
+
| **Training Started** | June 2026 |
|
| 29 |
+
|
| 30 |
+
---
|
| 31 |
+
|
| 32 |
+
## Changelog / Training Timeline
|
| 33 |
+
|
| 34 |
+
*Auto-updated by train_v12.py on every checkpoint save.*
|
| 35 |
+
*Append-only — entries never overwritten. HuggingFace commit history provides timestamps.*
|
| 36 |
+
|
| 37 |
+
|
| 38 |
+
---
|
| 39 |
+
|
| 40 |
+
### 🔵 Checkpoint — Step 13
|
| 41 |
+
**Date:** June 22, 2026 at 18:44 IST
|
| 42 |
+
**Checkpoint:** checkpoint-13
|
| 43 |
+
**Step:** 13 / 40,000 (0.0% complete)
|
| 44 |
+
**Loss:** 0.6164
|
| 45 |
+
**Epoch:** 0.000
|
| 46 |
+
**Zone:** 📚 Learning
|
| 47 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 48 |
+
|
| 49 |
+
---
|
| 50 |
+
|
| 51 |
+
### 🔵 Checkpoint — Step 25
|
| 52 |
+
**Date:** June 22, 2026 at 18:50 IST
|
| 53 |
+
**Checkpoint:** checkpoint-25
|
| 54 |
+
**Step:** 25 / 40,000 (0.1% complete)
|
| 55 |
+
**Loss:** 0.6057
|
| 56 |
+
**Epoch:** 0.001
|
| 57 |
+
**Zone:** 📚 Learning
|
| 58 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 59 |
+
|
| 60 |
+
---
|
| 61 |
+
|
| 62 |
+
### 🔵 Checkpoint — Step 36
|
| 63 |
+
**Date:** June 22, 2026 at 18:58 IST
|
| 64 |
+
**Checkpoint:** checkpoint-36
|
| 65 |
+
**Step:** 36 / 40,000 (0.1% complete)
|
| 66 |
+
**Loss:** 0.5508
|
| 67 |
+
**Epoch:** 0.001
|
| 68 |
+
**Zone:** 📚 Learning
|
| 69 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 70 |
+
|
| 71 |
+
---
|
| 72 |
+
|
| 73 |
+
### 🔵 Checkpoint — Step 42
|
| 74 |
+
**Date:** June 22, 2026 at 19:08 IST
|
| 75 |
+
**Checkpoint:** checkpoint-42
|
| 76 |
+
**Step:** 42 / 40,000 (0.1% complete)
|
| 77 |
+
**Loss:** 0.5525
|
| 78 |
+
**Epoch:** 0.001
|
| 79 |
+
**Zone:** 📚 Learning
|
| 80 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 81 |
+
|
| 82 |
+
---
|
| 83 |
+
|
| 84 |
+
### 🔵 Checkpoint — Step 538
|
| 85 |
+
**Date:** June 22, 2026 at 23:38 IST
|
| 86 |
+
**Checkpoint:** checkpoint-538
|
| 87 |
+
**Step:** 538 / 40,000 (1.3% complete)
|
| 88 |
+
**Loss:** 0.4087
|
| 89 |
+
**Epoch:** 0.015
|
| 90 |
+
**Zone:** 📈 Good
|
| 91 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 92 |
+
|
| 93 |
+
---
|
| 94 |
+
|
| 95 |
+
### 🔵 Checkpoint — Step 1,000
|
| 96 |
+
**Date:** June 23, 2026 at 03:05 IST
|
| 97 |
+
**Checkpoint:** checkpoint-1000
|
| 98 |
+
**Step:** 1,000 / 40,000 (2.5% complete)
|
| 99 |
+
**Loss:** 0.4174
|
| 100 |
+
**Epoch:** 0.029
|
| 101 |
+
**Zone:** 📈 Good
|
| 102 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 103 |
+
|
| 104 |
+
---
|
| 105 |
+
|
| 106 |
+
### 🔵 Checkpoint — Step 1,797
|
| 107 |
+
**Date:** June 23, 2026 at 08:26 IST
|
| 108 |
+
**Checkpoint:** checkpoint-1797
|
| 109 |
+
**Step:** 1,797 / 40,000 (4.5% complete)
|
| 110 |
+
**Loss:** 0.3927
|
| 111 |
+
**Epoch:** 0.052
|
| 112 |
+
**Zone:** 📈 Good
|
| 113 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 114 |
+
|
| 115 |
+
---
|
| 116 |
+
|
| 117 |
+
### 🔵 Checkpoint — Step 2,000
|
| 118 |
+
**Date:** June 23, 2026 at 09:52 IST
|
| 119 |
+
**Checkpoint:** checkpoint-2000
|
| 120 |
+
**Step:** 2,000 / 40,000 (5.0% complete)
|
| 121 |
+
**Loss:** 0.4383
|
| 122 |
+
**Epoch:** 0.058
|
| 123 |
+
**Zone:** 📈 Good
|
| 124 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 125 |
+
|
| 126 |
+
---
|
| 127 |
+
|
| 128 |
+
### 🔵 Checkpoint — Step 3,000
|
| 129 |
+
**Date:** June 23, 2026 at 17:35 IST
|
| 130 |
+
**Checkpoint:** checkpoint-3000
|
| 131 |
+
**Step:** 3,000 / 40,000 (7.5% complete)
|
| 132 |
+
**Loss:** 0.4153
|
| 133 |
+
**Epoch:** 0.088
|
| 134 |
+
**Zone:** 📈 Good
|
| 135 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 136 |
+
|
| 137 |
+
---
|
| 138 |
+
|
| 139 |
+
### 🔵 Checkpoint — Step 3,876
|
| 140 |
+
**Date:** June 23, 2026 at 23:40 IST
|
| 141 |
+
**Checkpoint:** checkpoint-3876
|
| 142 |
+
**Step:** 3,876 / 40,000 (9.7% complete)
|
| 143 |
+
**Loss:** 0.3439
|
| 144 |
+
**Epoch:** 0.113
|
| 145 |
+
**Zone:** 📈 Good
|
| 146 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 147 |
+
|
| 148 |
+
---
|
| 149 |
+
|
| 150 |
+
### 🔵 Checkpoint — Step 4,000
|
| 151 |
+
**Date:** June 24, 2026 at 00:54 IST
|
| 152 |
+
**Checkpoint:** checkpoint-4000
|
| 153 |
+
**Step:** 4,000 / 40,000 (10.0% complete)
|
| 154 |
+
**Loss:** 0.3980
|
| 155 |
+
**Epoch:** 0.117
|
| 156 |
+
**Zone:** 📈 Good
|
| 157 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 158 |
+
|
| 159 |
+
---
|
| 160 |
+
|
| 161 |
+
### 🔵 Checkpoint — Step 5,000
|
| 162 |
+
**Date:** June 24, 2026 at 07:38 IST
|
| 163 |
+
**Checkpoint:** checkpoint-5000
|
| 164 |
+
**Step:** 5,000 / 40,000 (12.5% complete)
|
| 165 |
+
**Loss:** 0.2748
|
| 166 |
+
**Epoch:** 0.146
|
| 167 |
+
**Zone:** 📈 Good
|
| 168 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 169 |
+
|
| 170 |
+
---
|
| 171 |
+
|
| 172 |
+
### 🔵 Checkpoint — Step 6,000
|
| 173 |
+
**Date:** June 24, 2026 at 14:22 IST
|
| 174 |
+
**Checkpoint:** checkpoint-6000
|
| 175 |
+
**Step:** 6,000 / 40,000 (15.0% complete)
|
| 176 |
+
**Loss:** 0.2319
|
| 177 |
+
**Epoch:** 0.175
|
| 178 |
+
**Zone:** 🎯 Sweet Spot
|
| 179 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 180 |
+
|
| 181 |
+
---
|
| 182 |
+
|
| 183 |
+
### 🔵 Checkpoint — Step 6,326
|
| 184 |
+
**Date:** June 24, 2026 at 19:59 IST
|
| 185 |
+
**Checkpoint:** checkpoint-6326
|
| 186 |
+
**Step:** 6,326 / 40,000 (15.8% complete)
|
| 187 |
+
**Loss:** 0.2695
|
| 188 |
+
**Epoch:** 0.185
|
| 189 |
+
**Zone:** 📈 Good
|
| 190 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 191 |
+
|
| 192 |
+
---
|
| 193 |
+
|
| 194 |
+
### 🔵 Checkpoint — Step 6,739
|
| 195 |
+
**Date:** June 24, 2026 at 23:37 IST
|
| 196 |
+
**Checkpoint:** checkpoint-6739
|
| 197 |
+
**Step:** 6,739 / 40,000 (16.8% complete)
|
| 198 |
+
**Loss:** 0.1934
|
| 199 |
+
**Epoch:** 0.197
|
| 200 |
+
**Zone:** 🎯 Sweet Spot
|
| 201 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 202 |
+
|
| 203 |
+
---
|
| 204 |
+
|
| 205 |
+
### 🔵 Checkpoint — Step 7,000
|
| 206 |
+
**Date:** June 25, 2026 at 02:24 IST
|
| 207 |
+
**Checkpoint:** checkpoint-7000
|
| 208 |
+
**Step:** 7,000 / 40,000 (17.5% complete)
|
| 209 |
+
**Loss:** 0.1105
|
| 210 |
+
**Epoch:** 0.205
|
| 211 |
+
**Zone:** ⚠️ Overfit Risk
|
| 212 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 213 |
+
|
| 214 |
+
---
|
| 215 |
+
|
| 216 |
+
### 🔵 Checkpoint — Step 8,000
|
| 217 |
+
**Date:** June 25, 2026 at 09:05 IST
|
| 218 |
+
**Checkpoint:** checkpoint-8000
|
| 219 |
+
**Step:** 8,000 / 40,000 (20.0% complete)
|
| 220 |
+
**Loss:** 0.2105
|
| 221 |
+
**Epoch:** 0.234
|
| 222 |
+
**Zone:** 🎯 Sweet Spot
|
| 223 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 224 |
+
|
| 225 |
+
---
|
| 226 |
+
|
| 227 |
+
### 🔵 Checkpoint — Step 8,978
|
| 228 |
+
**Date:** June 25, 2026 at 15:38 IST
|
| 229 |
+
**Checkpoint:** checkpoint-8978
|
| 230 |
+
**Step:** 8,978 / 40,000 (22.4% complete)
|
| 231 |
+
**Loss:** 0.3111
|
| 232 |
+
**Epoch:** 0.262
|
| 233 |
+
**Zone:** 📈 Good
|
| 234 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 235 |
+
|
| 236 |
+
---
|
| 237 |
+
|
| 238 |
+
### 🔵 Checkpoint — Step 9,000
|
| 239 |
+
**Date:** June 25, 2026 at 15:47 IST
|
| 240 |
+
**Checkpoint:** checkpoint-9000
|
| 241 |
+
**Step:** 9,000 / 40,000 (22.5% complete)
|
| 242 |
+
**Loss:** 0.3143
|
| 243 |
+
**Epoch:** 0.263
|
| 244 |
+
**Zone:** 📈 Good
|
| 245 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 246 |
+
|
| 247 |
+
---
|
| 248 |
+
|
| 249 |
+
### 🔵 Checkpoint — Step 9,090
|
| 250 |
+
**Date:** June 25, 2026 at 16:29 IST
|
| 251 |
+
**Checkpoint:** checkpoint-9090
|
| 252 |
+
**Step:** 9,090 / 40,000 (22.7% complete)
|
| 253 |
+
**Loss:** 0.3586
|
| 254 |
+
**Epoch:** 0.266
|
| 255 |
+
**Zone:** 📈 Good
|
| 256 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 257 |
+
|
| 258 |
+
---
|
| 259 |
+
|
| 260 |
+
### 🔵 Checkpoint — Step 9,718
|
| 261 |
+
**Date:** June 25, 2026 at 21:33 IST
|
| 262 |
+
**Checkpoint:** checkpoint-9718
|
| 263 |
+
**Step:** 9,718 / 40,000 (24.3% complete)
|
| 264 |
+
**Loss:** 0.2998
|
| 265 |
+
**Epoch:** 0.284
|
| 266 |
+
**Zone:** 📈 Good
|
| 267 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 268 |
+
|
| 269 |
+
---
|
| 270 |
+
|
| 271 |
+
### 🔵 Checkpoint — Step 9,942
|
| 272 |
+
**Date:** June 25, 2026 at 23:59 IST
|
| 273 |
+
**Checkpoint:** checkpoint-9942
|
| 274 |
+
**Step:** 9,942 / 40,000 (24.9% complete)
|
| 275 |
+
**Loss:** 0.2736
|
| 276 |
+
**Epoch:** 0.291
|
| 277 |
+
**Zone:** 📈 Good
|
| 278 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 279 |
+
|
| 280 |
+
---
|
| 281 |
+
|
| 282 |
+
### 🔵 Checkpoint — Step 10,000
|
| 283 |
+
**Date:** June 26, 2026 at 00:23 IST
|
| 284 |
+
**Checkpoint:** checkpoint-10000
|
| 285 |
+
**Step:** 10,000 / 40,000 (25.0% complete)
|
| 286 |
+
**Loss:** 0.2685
|
| 287 |
+
**Epoch:** 0.292
|
| 288 |
+
**Zone:** 📈 Good
|
| 289 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 290 |
+
|
| 291 |
+
---
|
| 292 |
+
|
| 293 |
+
### 🔵 Checkpoint — Step 11,000
|
| 294 |
+
**Date:** June 26, 2026 at 07:17 IST
|
| 295 |
+
**Checkpoint:** checkpoint-11000
|
| 296 |
+
**Step:** 11,000 / 40,000 (27.5% complete)
|
| 297 |
+
**Loss:** 0.4008
|
| 298 |
+
**Epoch:** 0.322
|
| 299 |
+
**Zone:** 📈 Good
|
| 300 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 301 |
+
|
| 302 |
+
---
|
| 303 |
+
|
| 304 |
+
### 🔵 Checkpoint — Step 12,000
|
| 305 |
+
**Date:** June 26, 2026 at 14:10 IST
|
| 306 |
+
**Checkpoint:** checkpoint-12000
|
| 307 |
+
**Step:** 12,000 / 40,000 (30.0% complete)
|
| 308 |
+
**Loss:** 0.3562
|
| 309 |
+
**Epoch:** 0.351
|
| 310 |
+
**Zone:** 📈 Good
|
| 311 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 312 |
+
|
| 313 |
+
---
|
| 314 |
+
|
| 315 |
+
### 🔵 Checkpoint — Step 12,694
|
| 316 |
+
**Date:** June 26, 2026 at 19:36 IST
|
| 317 |
+
**Checkpoint:** checkpoint-12694
|
| 318 |
+
**Step:** 12,694 / 40,000 (31.7% complete)
|
| 319 |
+
**Loss:** 0.3882
|
| 320 |
+
**Epoch:** 0.371
|
| 321 |
+
**Zone:** 📈 Good
|
| 322 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 323 |
+
|
| 324 |
+
---
|
| 325 |
+
|
| 326 |
+
### 🔵 Checkpoint — Step 12,793
|
| 327 |
+
**Date:** June 26, 2026 at 20:50 IST
|
| 328 |
+
**Checkpoint:** checkpoint-12793
|
| 329 |
+
**Step:** 12,793 / 40,000 (32.0% complete)
|
| 330 |
+
**Loss:** 0.2054
|
| 331 |
+
**Epoch:** 0.374
|
| 332 |
+
**Zone:** 🎯 Sweet Spot
|
| 333 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 334 |
+
|
| 335 |
+
---
|
| 336 |
+
|
| 337 |
+
### 🔵 Checkpoint — Step 13,000
|
| 338 |
+
**Date:** June 26, 2026 at 22:14 IST
|
| 339 |
+
**Checkpoint:** checkpoint-13000
|
| 340 |
+
**Step:** 13,000 / 40,000 (32.5% complete)
|
| 341 |
+
**Loss:** 0.2178
|
| 342 |
+
**Epoch:** 0.380
|
| 343 |
+
**Zone:** 🎯 Sweet Spot
|
| 344 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 345 |
+
|
| 346 |
+
---
|
| 347 |
+
|
| 348 |
+
### 🔵 Checkpoint — Step 14,000
|
| 349 |
+
**Date:** June 27, 2026 at 05:20 IST
|
| 350 |
+
**Checkpoint:** checkpoint-14000
|
| 351 |
+
**Step:** 14,000 / 40,000 (35.0% complete)
|
| 352 |
+
**Loss:** 0.2634
|
| 353 |
+
**Epoch:** 0.409
|
| 354 |
+
**Zone:** 📈 Good
|
| 355 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 356 |
+
|
| 357 |
+
---
|
| 358 |
+
|
| 359 |
+
### 🔵 Checkpoint — Step 14,769
|
| 360 |
+
**Date:** June 27, 2026 at 10:48 IST
|
| 361 |
+
**Checkpoint:** checkpoint-14769
|
| 362 |
+
**Step:** 14,769 / 40,000 (36.9% complete)
|
| 363 |
+
**Loss:** 0.1741
|
| 364 |
+
**Epoch:** 0.431
|
| 365 |
+
**Zone:** 🎯 Sweet Spot
|
| 366 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 367 |
+
|
| 368 |
+
---
|
| 369 |
+
|
| 370 |
+
### 🔵 Checkpoint — Step 14,907
|
| 371 |
+
**Date:** June 27, 2026 at 12:34 IST
|
| 372 |
+
**Checkpoint:** checkpoint-14907
|
| 373 |
+
**Step:** 14,907 / 40,000 (37.3% complete)
|
| 374 |
+
**Loss:** 0.2403
|
| 375 |
+
**Epoch:** 0.436
|
| 376 |
+
**Zone:** 🎯 Sweet Spot
|
| 377 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 378 |
+
|
| 379 |
+
---
|
| 380 |
+
|
| 381 |
+
### 🔵 Checkpoint — Step 15,000
|
| 382 |
+
**Date:** June 27, 2026 at 13:25 IST
|
| 383 |
+
**Checkpoint:** checkpoint-15000
|
| 384 |
+
**Step:** 15,000 / 40,000 (37.5% complete)
|
| 385 |
+
**Loss:** 0.2500
|
| 386 |
+
**Epoch:** 0.438
|
| 387 |
+
**Zone:** 📈 Good
|
| 388 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 389 |
+
|
| 390 |
+
---
|
| 391 |
+
|
| 392 |
+
### 🔵 Checkpoint — Step 15,176
|
| 393 |
+
**Date:** June 27, 2026 at 16:14 IST
|
| 394 |
+
**Checkpoint:** checkpoint-15176
|
| 395 |
+
**Step:** 15,176 / 40,000 (37.9% complete)
|
| 396 |
+
**Loss:** 0.1106
|
| 397 |
+
**Epoch:** 0.443
|
| 398 |
+
**Zone:** ⚠️ Overfit Risk
|
| 399 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 400 |
+
|
| 401 |
+
---
|
| 402 |
+
|
| 403 |
+
### 🔵 Checkpoint — Step 15,215
|
| 404 |
+
**Date:** June 27, 2026 at 16:31 IST
|
| 405 |
+
**Checkpoint:** checkpoint-15215
|
| 406 |
+
**Step:** 15,215 / 40,000 (38.0% complete)
|
| 407 |
+
**Loss:** 0.1262
|
| 408 |
+
**Epoch:** 0.445
|
| 409 |
+
**Zone:** 🎯 Sweet Spot
|
| 410 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 411 |
+
|
| 412 |
+
---
|
| 413 |
+
|
| 414 |
+
### 🔵 Checkpoint — Step 15,743
|
| 415 |
+
**Date:** June 27, 2026 at 20:14 IST
|
| 416 |
+
**Checkpoint:** checkpoint-15743
|
| 417 |
+
**Step:** 15,743 / 40,000 (39.4% complete)
|
| 418 |
+
**Loss:** 0.1310
|
| 419 |
+
**Epoch:** 0.460
|
| 420 |
+
**Zone:** 🎯 Sweet Spot
|
| 421 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 422 |
+
|
| 423 |
+
---
|
| 424 |
+
|
| 425 |
+
### 🔵 Checkpoint — Step 16,000
|
| 426 |
+
**Date:** June 27, 2026 at 22:07 IST
|
| 427 |
+
**Checkpoint:** checkpoint-16000
|
| 428 |
+
**Step:** 16,000 / 40,000 (40.0% complete)
|
| 429 |
+
**Loss:** 0.1250
|
| 430 |
+
**Epoch:** 0.468
|
| 431 |
+
**Zone:** 🎯 Sweet Spot
|
| 432 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 433 |
+
|
| 434 |
+
---
|
| 435 |
+
|
| 436 |
+
### 🔵 Checkpoint — Step 16,053
|
| 437 |
+
**Date:** June 27, 2026 at 23:06 IST
|
| 438 |
+
**Checkpoint:** checkpoint-16053
|
| 439 |
+
**Step:** 16,053 / 40,000 (40.1% complete)
|
| 440 |
+
**Loss:** 0.1144
|
| 441 |
+
**Epoch:** 0.469
|
| 442 |
+
**Zone:** ⚠️ Overfit Risk
|
| 443 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 444 |
+
|
| 445 |
+
---
|
| 446 |
+
|
| 447 |
+
### 🔵 Checkpoint — Step 16,148
|
| 448 |
+
**Date:** June 28, 2026 at 00:24 IST
|
| 449 |
+
**Checkpoint:** checkpoint-16148
|
| 450 |
+
**Step:** 16,148 / 40,000 (40.4% complete)
|
| 451 |
+
**Loss:** 0.1240
|
| 452 |
+
**Epoch:** 0.472
|
| 453 |
+
**Zone:** 🎯 Sweet Spot
|
| 454 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 455 |
+
|
| 456 |
+
---
|
| 457 |
+
|
| 458 |
+
### 🔵 Checkpoint — Step 17,000
|
| 459 |
+
**Date:** June 28, 2026 at 06:13 IST
|
| 460 |
+
**Checkpoint:** checkpoint-17000
|
| 461 |
+
**Step:** 17,000 / 40,000 (42.5% complete)
|
| 462 |
+
**Loss:** 0.1117
|
| 463 |
+
**Epoch:** 0.497
|
| 464 |
+
**Zone:** ⚠️ Overfit Risk
|
| 465 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 466 |
+
|
| 467 |
+
---
|
| 468 |
+
|
| 469 |
+
### 🔵 Checkpoint — Step 17,594
|
| 470 |
+
**Date:** June 28, 2026 at 10:16 IST
|
| 471 |
+
**Checkpoint:** checkpoint-17594
|
| 472 |
+
**Step:** 17,594 / 40,000 (44.0% complete)
|
| 473 |
+
**Loss:** 0.2489
|
| 474 |
+
**Epoch:** 0.514
|
| 475 |
+
**Zone:** 🎯 Sweet Spot
|
| 476 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 477 |
+
|
| 478 |
+
---
|
| 479 |
+
|
| 480 |
+
### 🔵 Checkpoint — Step 18,000
|
| 481 |
+
**Date:** June 28, 2026 at 18:25 IST
|
| 482 |
+
**Checkpoint:** checkpoint-18000
|
| 483 |
+
**Step:** 18,000 / 40,000 (45.0% complete)
|
| 484 |
+
**Loss:** 0.0850
|
| 485 |
+
**Epoch:** 0.526
|
| 486 |
+
**Zone:** ⚠️ Overfit Risk
|
| 487 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 488 |
+
|
| 489 |
+
---
|
| 490 |
+
|
| 491 |
+
### 🔵 Checkpoint — Step 18,594
|
| 492 |
+
**Date:** June 28, 2026 at 22:39 IST
|
| 493 |
+
**Checkpoint:** checkpoint-18594
|
| 494 |
+
**Step:** 18,594 / 40,000 (46.5% complete)
|
| 495 |
+
**Loss:** 0.0885
|
| 496 |
+
**Epoch:** 0.543
|
| 497 |
+
**Zone:** ⚠️ Overfit Risk
|
| 498 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 499 |
+
|
| 500 |
+
---
|
| 501 |
+
|
| 502 |
+
### 🔵 Checkpoint — Step 19,000
|
| 503 |
+
**Date:** June 29, 2026 at 02:10 IST
|
| 504 |
+
**Checkpoint:** checkpoint-19000
|
| 505 |
+
**Step:** 19,000 / 40,000 (47.5% complete)
|
| 506 |
+
**Loss:** 0.0535
|
| 507 |
+
**Epoch:** 0.555
|
| 508 |
+
**Zone:** ⚠️ Overfit Risk
|
| 509 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 510 |
+
|
| 511 |
+
---
|
| 512 |
+
|
| 513 |
+
### 🔵 Checkpoint — Step 20,000
|
| 514 |
+
**Date:** June 29, 2026 at 08:56 IST
|
| 515 |
+
**Checkpoint:** checkpoint-20000
|
| 516 |
+
**Step:** 20,000 / 40,000 (50.0% complete)
|
| 517 |
+
**Loss:** 0.1070
|
| 518 |
+
**Epoch:** 0.585
|
| 519 |
+
**Zone:** ⚠️ Overfit Risk
|
| 520 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 521 |
+
|
| 522 |
+
---
|
| 523 |
+
|
| 524 |
+
### 🔵 Checkpoint — Step 21,000
|
| 525 |
+
**Date:** June 29, 2026 at 15:45 IST
|
| 526 |
+
**Checkpoint:** checkpoint-21000
|
| 527 |
+
**Step:** 21,000 / 40,000 (52.5% complete)
|
| 528 |
+
**Loss:** 0.1521
|
| 529 |
+
**Epoch:** 0.614
|
| 530 |
+
**Zone:** 🎯 Sweet Spot
|
| 531 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 532 |
+
|
| 533 |
+
---
|
| 534 |
+
|
| 535 |
+
### 🔵 Checkpoint — Step 21,404
|
| 536 |
+
**Date:** June 29, 2026 at 18:52 IST
|
| 537 |
+
**Checkpoint:** checkpoint-21404
|
| 538 |
+
**Step:** 21,404 / 40,000 (53.5% complete)
|
| 539 |
+
**Loss:** 0.2434
|
| 540 |
+
**Epoch:** 0.625
|
| 541 |
+
**Zone:** 🎯 Sweet Spot
|
| 542 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 543 |
+
|
| 544 |
+
---
|
| 545 |
+
|
| 546 |
+
### 🔵 Checkpoint — Step 22,000
|
| 547 |
+
**Date:** June 30, 2026 at 00:08 IST
|
| 548 |
+
**Checkpoint:** checkpoint-22000
|
| 549 |
+
**Step:** 22,000 / 40,000 (55.0% complete)
|
| 550 |
+
**Loss:** 0.2471
|
| 551 |
+
**Epoch:** 0.643
|
| 552 |
+
**Zone:** 🎯 Sweet Spot
|
| 553 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 554 |
+
|
| 555 |
+
---
|
| 556 |
+
|
| 557 |
+
### 🔵 Checkpoint — Step 23,000
|
| 558 |
+
**Date:** June 30, 2026 at 07:12 IST
|
| 559 |
+
**Checkpoint:** checkpoint-23000
|
| 560 |
+
**Step:** 23,000 / 40,000 (57.5% complete)
|
| 561 |
+
**Loss:** 0.3085
|
| 562 |
+
**Epoch:** 0.672
|
| 563 |
+
**Zone:** 📈 Good
|
| 564 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 565 |
+
|
| 566 |
+
---
|
| 567 |
+
|
| 568 |
+
### 🔵 Checkpoint — Step 23,828
|
| 569 |
+
**Date:** June 30, 2026 at 12:51 IST
|
| 570 |
+
**Checkpoint:** checkpoint-23828
|
| 571 |
+
**Step:** 23,828 / 40,000 (59.6% complete)
|
| 572 |
+
**Loss:** 0.2647
|
| 573 |
+
**Epoch:** 0.696
|
| 574 |
+
**Zone:** 📈 Good
|
| 575 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 576 |
+
|
| 577 |
+
---
|
| 578 |
+
|
| 579 |
+
### 🔵 Checkpoint — Step 23,831
|
| 580 |
+
**Date:** June 30, 2026 at 14:50 IST
|
| 581 |
+
**Checkpoint:** checkpoint-23831
|
| 582 |
+
**Step:** 23,831 / 40,000 (59.6% complete)
|
| 583 |
+
**Loss:** 0.1715
|
| 584 |
+
**Epoch:** 0.697
|
| 585 |
+
**Zone:** 🎯 Sweet Spot
|
| 586 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 587 |
+
|
| 588 |
+
---
|
| 589 |
+
|
| 590 |
+
### 🔵 Checkpoint — Step 24,000
|
| 591 |
+
**Date:** June 30, 2026 at 16:27 IST
|
| 592 |
+
**Checkpoint:** checkpoint-24000
|
| 593 |
+
**Step:** 24,000 / 40,000 (60.0% complete)
|
| 594 |
+
**Loss:** 0.0595
|
| 595 |
+
**Epoch:** 0.701
|
| 596 |
+
**Zone:** ⚠️ Overfit Risk
|
| 597 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 598 |
+
|
| 599 |
+
---
|
| 600 |
+
|
| 601 |
+
### 🔵 Checkpoint — Step 25,000
|
| 602 |
+
**Date:** July 01, 2026 at 01:20 IST
|
| 603 |
+
**Checkpoint:** checkpoint-25000
|
| 604 |
+
**Step:** 25,000 / 40,000 (62.5% complete)
|
| 605 |
+
**Loss:** 0.0601
|
| 606 |
+
**Epoch:** 0.731
|
| 607 |
+
**Zone:** ⚠️ Overfit Risk
|
| 608 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 609 |
+
|
| 610 |
+
---
|
| 611 |
+
|
| 612 |
+
### 🔵 Checkpoint — Step 26,000
|
| 613 |
+
**Date:** July 01, 2026 at 08:42 IST
|
| 614 |
+
**Checkpoint:** checkpoint-26000
|
| 615 |
+
**Step:** 26,000 / 40,000 (65.0% complete)
|
| 616 |
+
**Loss:** 0.0775
|
| 617 |
+
**Epoch:** 0.760
|
| 618 |
+
**Zone:** ⚠️ Overfit Risk
|
| 619 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 620 |
+
|
| 621 |
+
---
|
| 622 |
+
|
| 623 |
+
### 🔵 Checkpoint — Step 27,000
|
| 624 |
+
**Date:** July 01, 2026 at 15:25 IST
|
| 625 |
+
**Checkpoint:** checkpoint-27000
|
| 626 |
+
**Step:** 27,000 / 40,000 (67.5% complete)
|
| 627 |
+
**Loss:** 0.1404
|
| 628 |
+
**Epoch:** 0.789
|
| 629 |
+
**Zone:** 🎯 Sweet Spot
|
| 630 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 631 |
+
|
| 632 |
+
---
|
| 633 |
+
|
| 634 |
+
### 🔵 Checkpoint — Step 27,337
|
| 635 |
+
**Date:** July 01, 2026 at 18:36 IST
|
| 636 |
+
**Checkpoint:** checkpoint-27337
|
| 637 |
+
**Step:** 27,337 / 40,000 (68.3% complete)
|
| 638 |
+
**Loss:** 0.1436
|
| 639 |
+
**Epoch:** 0.799
|
| 640 |
+
**Zone:** 🎯 Sweet Spot
|
| 641 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 642 |
+
|
| 643 |
+
---
|
| 644 |
+
|
| 645 |
+
### 🔵 Checkpoint — Step 28,000
|
| 646 |
+
**Date:** July 02, 2026 at 02:15 IST
|
| 647 |
+
**Checkpoint:** checkpoint-28000
|
| 648 |
+
**Step:** 28,000 / 40,000 (70.0% complete)
|
| 649 |
+
**Loss:** 0.2129
|
| 650 |
+
**Epoch:** 0.818
|
| 651 |
+
**Zone:** 🎯 Sweet Spot
|
| 652 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 653 |
+
|
| 654 |
+
---
|
| 655 |
+
|
| 656 |
+
### 🔵 Checkpoint — Step 29,000
|
| 657 |
+
**Date:** July 02, 2026 at 09:14 IST
|
| 658 |
+
**Checkpoint:** checkpoint-29000
|
| 659 |
+
**Step:** 29,000 / 40,000 (72.5% complete)
|
| 660 |
+
**Loss:** 0.1455
|
| 661 |
+
**Epoch:** 0.848
|
| 662 |
+
**Zone:** 🎯 Sweet Spot
|
| 663 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 664 |
+
|
| 665 |
+
---
|
| 666 |
+
|
| 667 |
+
### 🔵 Checkpoint — Step 30,000
|
| 668 |
+
**Date:** July 02, 2026 at 16:08 IST
|
| 669 |
+
**Checkpoint:** checkpoint-30000
|
| 670 |
+
**Step:** 30,000 / 40,000 (75.0% complete)
|
| 671 |
+
**Loss:** 0.3397
|
| 672 |
+
**Epoch:** 0.877
|
| 673 |
+
**Zone:** 📈 Good
|
| 674 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 675 |
+
|
| 676 |
+
---
|
| 677 |
+
|
| 678 |
+
### 🔵 Checkpoint — Step 30,784
|
| 679 |
+
**Date:** July 02, 2026 at 23:18 IST
|
| 680 |
+
**Checkpoint:** checkpoint-30784
|
| 681 |
+
**Step:** 30,784 / 40,000 (77.0% complete)
|
| 682 |
+
**Loss:** 0.3424
|
| 683 |
+
**Epoch:** 0.900
|
| 684 |
+
**Zone:** 📈 Good
|
| 685 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 686 |
+
|
| 687 |
+
---
|
| 688 |
+
|
| 689 |
+
### 🔵 Checkpoint — Step 31,000
|
| 690 |
+
**Date:** July 03, 2026 at 00:56 IST
|
| 691 |
+
**Checkpoint:** checkpoint-31000
|
| 692 |
+
**Step:** 31,000 / 40,000 (77.5% complete)
|
| 693 |
+
**Loss:** 0.0332
|
| 694 |
+
**Epoch:** 0.906
|
| 695 |
+
**Zone:** ⚠️ Overfit Risk
|
| 696 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 697 |
+
|
| 698 |
+
---
|
| 699 |
+
|
| 700 |
+
### 🔵 Checkpoint — Step 32,000
|
| 701 |
+
**Date:** July 03, 2026 at 07:45 IST
|
| 702 |
+
**Checkpoint:** checkpoint-32000
|
| 703 |
+
**Step:** 32,000 / 40,000 (80.0% complete)
|
| 704 |
+
**Loss:** 0.0608
|
| 705 |
+
**Epoch:** 0.935
|
| 706 |
+
**Zone:** ⚠️ Overfit Risk
|
| 707 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 708 |
+
|
| 709 |
+
---
|
| 710 |
+
|
| 711 |
+
### 🔵 Checkpoint — Step 32,001
|
| 712 |
+
**Date:** July 03, 2026 at 15:52 IST
|
| 713 |
+
**Checkpoint:** checkpoint-32001
|
| 714 |
+
**Step:** 32,001 / 40,000 (80.0% complete)
|
| 715 |
+
**Loss:** 0.0000
|
| 716 |
+
**Epoch:** 0.000
|
| 717 |
+
**Zone:** ⚠️ Overfit Risk
|
| 718 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 719 |
+
|
| 720 |
+
---
|
| 721 |
+
|
| 722 |
+
### 🔵 Checkpoint — Step 33,000
|
| 723 |
+
**Date:** July 04, 2026 at 00:31 IST
|
| 724 |
+
**Checkpoint:** checkpoint-33000
|
| 725 |
+
**Step:** 33,000 / 40,000 (82.5% complete)
|
| 726 |
+
**Loss:** 0.0135
|
| 727 |
+
**Epoch:** 0.965
|
| 728 |
+
**Zone:** ⚠️ Overfit Risk
|
| 729 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 730 |
+
|
| 731 |
+
---
|
| 732 |
+
|
| 733 |
+
### 🔵 Checkpoint — Step 34,000
|
| 734 |
+
**Date:** July 04, 2026 at 07:24 IST
|
| 735 |
+
**Checkpoint:** checkpoint-34000
|
| 736 |
+
**Step:** 34,000 / 40,000 (85.0% complete)
|
| 737 |
+
**Loss:** 0.0401
|
| 738 |
+
**Epoch:** 0.994
|
| 739 |
+
**Zone:** ⚠️ Overfit Risk
|
| 740 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 741 |
+
|
| 742 |
+
---
|
| 743 |
+
|
| 744 |
+
### 🔵 Checkpoint — Step 34,213
|
| 745 |
+
**Date:** July 04, 2026 at 08:52 IST
|
| 746 |
+
**Checkpoint:** checkpoint-34213
|
| 747 |
+
**Step:** 34,213 / 40,000 (85.5% complete)
|
| 748 |
+
**Loss:** 0.0397
|
| 749 |
+
**Epoch:** 1.000
|
| 750 |
+
**Zone:** ⚠️ Overfit Risk
|
| 751 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 752 |
+
|
| 753 |
+
---
|
| 754 |
+
|
| 755 |
+
### 🔵 Checkpoint — Step 35,000
|
| 756 |
+
**Date:** July 04, 2026 at 14:22 IST
|
| 757 |
+
**Checkpoint:** checkpoint-35000
|
| 758 |
+
**Step:** 35,000 / 40,000 (87.5% complete)
|
| 759 |
+
**Loss:** 0.1045
|
| 760 |
+
**Epoch:** 1.023
|
| 761 |
+
**Zone:** ⚠️ Overfit Risk
|
| 762 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 763 |
+
|
| 764 |
+
---
|
| 765 |
+
|
| 766 |
+
### 🔵 Checkpoint — Step 36,000
|
| 767 |
+
**Date:** July 04, 2026 at 21:15 IST
|
| 768 |
+
**Checkpoint:** checkpoint-36000
|
| 769 |
+
**Step:** 36,000 / 40,000 (90.0% complete)
|
| 770 |
+
**Loss:** 0.1610
|
| 771 |
+
**Epoch:** 1.052
|
| 772 |
+
**Zone:** 🎯 Sweet Spot
|
| 773 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 774 |
+
|
| 775 |
+
---
|
| 776 |
+
|
| 777 |
+
### 🔵 Checkpoint — Step 37,000
|
| 778 |
+
**Date:** July 05, 2026 at 03:59 IST
|
| 779 |
+
**Checkpoint:** checkpoint-37000
|
| 780 |
+
**Step:** 37,000 / 40,000 (92.5% complete)
|
| 781 |
+
**Loss:** 0.1367
|
| 782 |
+
**Epoch:** 1.081
|
| 783 |
+
**Zone:** 🎯 Sweet Spot
|
| 784 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 785 |
+
|
| 786 |
+
---
|
| 787 |
+
|
| 788 |
+
### 🔵 Checkpoint — Step 37,001
|
| 789 |
+
**Date:** July 05, 2026 at 08:37 IST
|
| 790 |
+
**Checkpoint:** checkpoint-37001
|
| 791 |
+
**Step:** 37,001 / 40,000 (92.5% complete)
|
| 792 |
+
**Loss:** 0.0000
|
| 793 |
+
**Epoch:** 0.000
|
| 794 |
+
**Zone:** ⚠️ Overfit Risk
|
| 795 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 796 |
+
|
| 797 |
+
---
|
| 798 |
+
|
| 799 |
+
### 🔵 Checkpoint — Step 37,002
|
| 800 |
+
**Date:** July 05, 2026 at 11:06 IST
|
| 801 |
+
**Checkpoint:** checkpoint-37002
|
| 802 |
+
**Step:** 37,002 / 40,000 (92.5% complete)
|
| 803 |
+
**Loss:** 0.0000
|
| 804 |
+
**Epoch:** 0.000
|
| 805 |
+
**Zone:** ⚠️ Overfit Risk
|
| 806 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 807 |
+
|
| 808 |
+
---
|
| 809 |
+
|
| 810 |
+
### 🔵 Checkpoint — Step 38,000
|
| 811 |
+
**Date:** July 05, 2026 at 20:26 IST
|
| 812 |
+
**Checkpoint:** checkpoint-38000
|
| 813 |
+
**Step:** 38,000 / 40,000 (95.0% complete)
|
| 814 |
+
**Loss:** 0.3587
|
| 815 |
+
**Epoch:** 1.111
|
| 816 |
+
**Zone:** 📈 Good
|
| 817 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 818 |
+
|
| 819 |
+
---
|
| 820 |
+
|
| 821 |
+
### 🔵 Checkpoint — Step 38,001
|
| 822 |
+
**Date:** July 05, 2026 at 23:47 IST
|
| 823 |
+
**Checkpoint:** checkpoint-38001
|
| 824 |
+
**Step:** 38,001 / 40,000 (95.0% complete)
|
| 825 |
+
**Loss:** 0.0000
|
| 826 |
+
**Epoch:** 0.000
|
| 827 |
+
**Zone:** ⚠️ Overfit Risk
|
| 828 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 829 |
+
|
| 830 |
+
---
|
| 831 |
+
|
| 832 |
+
### 🔵 Checkpoint — Step 38,194
|
| 833 |
+
**Date:** July 06, 2026 at 01:29 IST
|
| 834 |
+
**Checkpoint:** checkpoint-38194
|
| 835 |
+
**Step:** 38,194 / 40,000 (95.5% complete)
|
| 836 |
+
**Loss:** 0.3055
|
| 837 |
+
**Epoch:** 1.116
|
| 838 |
+
**Zone:** 📈 Good
|
| 839 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 840 |
+
|
| 841 |
+
---
|
| 842 |
+
|
| 843 |
+
### 🔵 Checkpoint — Step 38,195
|
| 844 |
+
**Date:** July 06, 2026 at 08:35 IST
|
| 845 |
+
**Checkpoint:** checkpoint-38195
|
| 846 |
+
**Step:** 38,195 / 40,000 (95.5% complete)
|
| 847 |
+
**Loss:** 0.0000
|
| 848 |
+
**Epoch:** 0.000
|
| 849 |
+
**Zone:** ⚠️ Overfit Risk
|
| 850 |
+
**Status:** Training ongoing — auto-uploaded via train_v12.py
|
| 851 |
+
|