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End of training

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  *.zip filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,272 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: gemma
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+ base_model: google/gemma-2-2b
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+ tags:
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ model-index:
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+ - name: collapse_gemma-2-2b_hs2_accumulate_iter11_sftsd0
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # collapse_gemma-2-2b_hs2_accumulate_iter11_sftsd0
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+
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+ This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0972
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+ - Num Input Tokens Seen: 57637736
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 8e-06
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+ - train_batch_size: 8
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+ - eval_batch_size: 16
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+ - seed: 0
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 128
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: constant_with_warmup
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+ - lr_scheduler_warmup_ratio: 0.05
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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+ |:-------------:|:------:|:----:|:---------------:|:-----------------:|
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+ | No log | 0 | 0 | 1.3909 | 0 |
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+ | 1.6702 | 0.0048 | 5 | 1.3890 | 274216 |
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+ | 1.7923 | 0.0095 | 10 | 1.3680 | 541184 |
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+ | 1.4986 | 0.0143 | 15 | 1.3206 | 819976 |
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+ | 1.5142 | 0.0191 | 20 | 1.2688 | 1095056 |
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+ | 1.3889 | 0.0238 | 25 | 1.2318 | 1370656 |
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+ | 1.3587 | 0.0286 | 30 | 1.1985 | 1645656 |
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+ | 1.1457 | 0.0334 | 35 | 1.1961 | 1925936 |
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+ | 0.9981 | 0.0382 | 40 | 1.2120 | 2197920 |
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+ | 0.8253 | 0.0429 | 45 | 1.2501 | 2472376 |
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+ | 0.7178 | 0.0477 | 50 | 1.2900 | 2748904 |
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+ | 0.5007 | 0.0525 | 55 | 1.3346 | 3016944 |
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+ | 0.444 | 0.0572 | 60 | 1.2951 | 3291264 |
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+ | 0.4447 | 0.0620 | 65 | 1.2466 | 3563840 |
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+ | 0.3044 | 0.0668 | 70 | 1.2693 | 3830896 |
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+ | 0.2642 | 0.0715 | 75 | 1.2227 | 4102680 |
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+ | 0.3298 | 0.0763 | 80 | 1.2361 | 4379024 |
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+ | 0.2985 | 0.0811 | 85 | 1.2145 | 4655328 |
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+ | 0.2451 | 0.0859 | 90 | 1.2161 | 4937112 |
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+ | 0.2532 | 0.0906 | 95 | 1.2096 | 5218128 |
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+ | 0.375 | 0.0954 | 100 | 1.1938 | 5493576 |
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+ | 0.289 | 0.1002 | 105 | 1.1947 | 5770328 |
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+ | 0.1574 | 0.1049 | 110 | 1.1874 | 6049328 |
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+ | 0.3759 | 0.1097 | 115 | 1.1851 | 6325552 |
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+ | 0.2427 | 0.1145 | 120 | 1.1837 | 6610192 |
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+ | 0.2257 | 0.1192 | 125 | 1.1819 | 6892072 |
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+ | 0.1955 | 0.1240 | 130 | 1.1734 | 7171040 |
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+ | 0.2644 | 0.1288 | 135 | 1.1726 | 7439616 |
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+ | 0.1902 | 0.1336 | 140 | 1.1729 | 7712336 |
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+ | 0.2276 | 0.1383 | 145 | 1.1752 | 7993304 |
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+ | 0.2112 | 0.1431 | 150 | 1.1703 | 8267944 |
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+ | 0.2477 | 0.1479 | 155 | 1.1689 | 8538664 |
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+ | 0.1573 | 0.1526 | 160 | 1.1661 | 8812544 |
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+ | 0.1529 | 0.1574 | 165 | 1.1633 | 9084840 |
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+ | 0.2697 | 0.1622 | 170 | 1.1603 | 9354376 |
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+ | 0.155 | 0.1669 | 175 | 1.1664 | 9627880 |
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+ | 0.2587 | 0.1717 | 180 | 1.1585 | 9900592 |
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+ | 0.1548 | 0.1765 | 185 | 1.1552 | 10177088 |
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+ | 0.2937 | 0.1813 | 190 | 1.1693 | 10452280 |
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+ | 0.2339 | 0.1860 | 195 | 1.1561 | 10724920 |
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+ | 0.2026 | 0.1908 | 200 | 1.1545 | 11001192 |
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+ | 0.2147 | 0.1956 | 205 | 1.1566 | 11274040 |
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+ | 0.1414 | 0.2003 | 210 | 1.1515 | 11546672 |
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+ | 0.2323 | 0.2051 | 215 | 1.1534 | 11817992 |
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+ | 0.1533 | 0.2099 | 220 | 1.1526 | 12089480 |
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+ | 0.14 | 0.2146 | 225 | 1.1463 | 12365984 |
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+ | 0.1898 | 0.2194 | 230 | 1.1484 | 12639416 |
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+ | 0.2115 | 0.2242 | 235 | 1.1471 | 12920944 |
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+ | 0.2441 | 0.2290 | 240 | 1.1456 | 13194920 |
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+ | 0.18 | 0.2337 | 245 | 1.1457 | 13472976 |
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+ | 0.1868 | 0.2385 | 250 | 1.1437 | 13750128 |
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+ | 0.1601 | 0.2433 | 255 | 1.1445 | 14020560 |
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+ | 0.1777 | 0.2480 | 260 | 1.1449 | 14292552 |
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+ | 0.2047 | 0.2528 | 265 | 1.1402 | 14564888 |
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+ | 0.1425 | 0.2576 | 270 | 1.1429 | 14841608 |
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+ | 0.2403 | 0.2623 | 275 | 1.1423 | 15113080 |
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+ | 0.1517 | 0.2671 | 280 | 1.1403 | 15387104 |
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+ | 0.1189 | 0.2719 | 285 | 1.1384 | 15661744 |
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+ | 0.1925 | 0.2767 | 290 | 1.1422 | 15929144 |
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+ | 0.2971 | 0.2814 | 295 | 1.1411 | 16211016 |
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+ | 0.1877 | 0.2862 | 300 | 1.1355 | 16479672 |
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+ | 0.1461 | 0.2910 | 305 | 1.1430 | 16749592 |
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+ | 0.1857 | 0.2957 | 310 | 1.1376 | 17026336 |
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+ | 0.2592 | 0.3005 | 315 | 1.1343 | 17298512 |
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+ | 0.1672 | 0.3053 | 320 | 1.1342 | 17575064 |
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+ | 0.2067 | 0.3100 | 325 | 1.1332 | 17854904 |
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+ | 0.2002 | 0.3148 | 330 | 1.1331 | 18130160 |
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+ | 0.1643 | 0.3196 | 335 | 1.1326 | 18399608 |
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+ | 0.1651 | 0.3244 | 340 | 1.1321 | 18678344 |
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+ | 0.171 | 0.3291 | 345 | 1.1312 | 18951800 |
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+ | 0.1323 | 0.3339 | 350 | 1.1295 | 19225944 |
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+ | 0.2588 | 0.3387 | 355 | 1.1320 | 19499856 |
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+ | 0.2399 | 0.3434 | 360 | 1.1316 | 19771272 |
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+ | 0.1582 | 0.3482 | 365 | 1.1295 | 20044040 |
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+ | 0.2115 | 0.3530 | 370 | 1.1286 | 20315888 |
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+ | 0.2802 | 0.3577 | 375 | 1.1303 | 20584672 |
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+ | 0.1257 | 0.3625 | 380 | 1.1302 | 20862920 |
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+ | 0.2851 | 0.3673 | 385 | 1.1301 | 21143672 |
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+ | 0.1692 | 0.3720 | 390 | 1.1275 | 21420672 |
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+ | 0.1253 | 0.3768 | 395 | 1.1282 | 21690272 |
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+ | 0.1186 | 0.3816 | 400 | 1.1294 | 21964296 |
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+ | 0.1799 | 0.3864 | 405 | 1.1287 | 22236320 |
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+ | 0.1433 | 0.4484 | 470 | 1.1215 | 25811664 |
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+ | 0.2118 | 0.4531 | 475 | 1.1252 | 26083832 |
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+ | 0.1689 | 0.4579 | 480 | 1.1200 | 26355200 |
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+ | 0.1463 | 0.4674 | 490 | 1.1204 | 26893408 |
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+ | 0.1937 | 0.4722 | 495 | 1.1193 | 27169048 |
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+ | 0.2256 | 0.4770 | 500 | 1.1187 | 27444320 |
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+ | 0.261 | 0.4818 | 505 | 1.1203 | 27722760 |
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+ | 0.2065 | 0.4865 | 510 | 1.1181 | 28007144 |
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+ | 0.2162 | 0.4961 | 520 | 1.1182 | 28558768 |
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+ | 0.0977 | 0.5008 | 525 | 1.1156 | 28832184 |
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+ | 0.1147 | 0.5390 | 565 | 1.1162 | 31016856 |
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+ | 0.1808 | 0.5438 | 570 | 1.1172 | 31290632 |
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+ | 0.1348 | 0.5485 | 575 | 1.1138 | 31565776 |
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+ | 0.191 | 0.5533 | 580 | 1.1129 | 31840416 |
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+ | 0.1971 | 0.5581 | 585 | 1.1141 | 32115112 |
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+ | 0.2878 | 0.5628 | 590 | 1.1132 | 32382568 |
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+ | 0.1397 | 0.5676 | 595 | 1.1145 | 32652336 |
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+ | 0.1622 | 0.5724 | 600 | 1.1147 | 32926376 |
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+ | 0.1645 | 0.5772 | 605 | 1.1126 | 33202408 |
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+ | 0.1364 | 0.5867 | 615 | 1.1191 | 33755856 |
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+ | 0.2257 | 0.5962 | 625 | 1.1120 | 34300240 |
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+ | 0.193 | 0.6010 | 630 | 1.1129 | 34575272 |
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+ | 0.1591 | 0.6058 | 635 | 1.1140 | 34846568 |
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+ | 0.2357 | 0.6105 | 640 | 1.1127 | 35111368 |
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+ | 0.2122 | 0.6153 | 645 | 1.1104 | 35381512 |
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+ | 0.2296 | 0.6201 | 650 | 1.1126 | 35652760 |
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+ | 0.2162 | 0.6249 | 655 | 1.1105 | 35934616 |
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+ | 0.2327 | 0.6439 | 675 | 1.1099 | 37026448 |
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+ | 0.137 | 0.6487 | 680 | 1.1101 | 37304624 |
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+ | 0.2355 | 0.6582 | 690 | 1.1094 | 37859192 |
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+ | 0.1176 | 0.6869 | 720 | 1.1101 | 39533328 |
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+ | 0.1603 | 0.6964 | 730 | 1.1056 | 40078576 |
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+ | 0.1874 | 0.7012 | 735 | 1.1070 | 40354912 |
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+ | 0.139 | 0.7059 | 740 | 1.1098 | 40624408 |
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+ | 0.2135 | 0.7155 | 750 | 1.1057 | 41168008 |
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+ | 0.179 | 0.7441 | 780 | 1.1050 | 42823136 |
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+ | 0.2125 | 0.8729 | 915 | 1.1012 | 50280032 |
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+ | 0.1793 | 0.8777 | 920 | 1.1007 | 50554592 |
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+ | 0.2443 | 0.9301 | 975 | 1.1002 | 53605952 |
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+ | 0.1889 | 0.9349 | 980 | 1.0978 | 53880704 |
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+ | 0.1236 | 0.9397 | 985 | 1.0987 | 54156976 |
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+ | 0.1949 | 0.9444 | 990 | 1.0998 | 54432432 |
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+ | 0.2046 | 0.9492 | 995 | 1.0986 | 54713288 |
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+ | 0.2039 | 0.9540 | 1000 | 1.0977 | 54987288 |
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+ | 0.2096 | 0.9587 | 1005 | 1.0978 | 55272664 |
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+ | 0.1781 | 0.9635 | 1010 | 1.0987 | 55548680 |
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+ | 0.2138 | 0.9683 | 1015 | 1.0978 | 55831208 |
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+ | 0.1476 | 0.9731 | 1020 | 1.0972 | 56108072 |
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+ | 0.1583 | 0.9921 | 1040 | 1.0964 | 57203296 |
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+ | 0.1243 | 0.9969 | 1045 | 1.0963 | 57468416 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.0
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+ - Pytorch 2.4.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "_name_or_path": "google/gemma-2-2b",
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+ "architectures": [
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+ "Gemma2ForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "attn_logit_softcapping": 50.0,
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+ "cache_implementation": "hybrid",
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+ "eos_token_id": 1,
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+ "final_logit_softcapping": 30.0,
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+ "head_dim": 256,
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+ "hidden_act": "gelu_pytorch_tanh",
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+ "hidden_size": 2304,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 9216,
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+ "max_position_embeddings": 8192,
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+ "model_type": "gemma2",
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+ "num_attention_heads": 8,
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+ "num_hidden_layers": 26,
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+ "num_key_value_heads": 4,
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+ "pad_token_id": 0,
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+ "query_pre_attn_scalar": 256,
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+ "rms_norm_eps": 1e-06,
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+ "rope_theta": 10000.0,
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+ "sliding_window": 4096,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.44.0",
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+ "use_cache": true,
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+ "vocab_size": 256000
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+ }
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