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README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [deepseek-ai/deepseek-math-7b-base](https://huggingface.co/deepseek-ai/deepseek-math-7b-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0295
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  ## Model description
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@@ -36,151 +36,182 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 9e-06
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- - train_batch_size: 4
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  - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 4
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- - total_train_batch_size: 16
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 6
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  - num_epochs: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.8094 | 0.01 | 5 | 0.5020 |
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- | 0.4809 | 0.02 | 10 | 0.3532 |
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- | 0.2489 | 0.02 | 15 | 0.2378 |
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- | 0.1325 | 0.03 | 20 | 0.1780 |
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- | 0.0541 | 0.04 | 25 | 0.1620 |
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- | 0.044 | 0.05 | 30 | 0.1562 |
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- | 0.0854 | 0.06 | 35 | 0.1469 |
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- | 0.0646 | 0.06 | 40 | 0.1355 |
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- | 0.0597 | 0.07 | 45 | 0.1261 |
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- | 0.0341 | 0.08 | 50 | 0.1181 |
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- | 0.0291 | 0.09 | 55 | 0.1140 |
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- | 0.0626 | 0.1 | 60 | 0.1110 |
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- | 0.0752 | 0.1 | 65 | 0.1039 |
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- | 0.0554 | 0.11 | 70 | 0.0954 |
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- | 0.0392 | 0.12 | 75 | 0.0884 |
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- | 0.0346 | 0.13 | 80 | 0.0841 |
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- | 0.0326 | 0.14 | 85 | 0.0792 |
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- | 0.0432 | 0.14 | 90 | 0.0747 |
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- | 0.0576 | 0.15 | 95 | 0.0705 |
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- | 0.0563 | 0.16 | 100 | 0.0681 |
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- | 0.0368 | 0.17 | 105 | 0.0658 |
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- | 0.0419 | 0.18 | 110 | 0.0638 |
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- | 0.0458 | 0.18 | 115 | 0.0604 |
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- | 0.0532 | 0.19 | 120 | 0.0581 |
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- | 0.0306 | 0.2 | 125 | 0.0560 |
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- | 0.035 | 0.21 | 130 | 0.0546 |
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- | 0.0422 | 0.22 | 135 | 0.0540 |
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- | 0.042 | 0.22 | 140 | 0.0531 |
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- | 0.0313 | 0.23 | 145 | 0.0515 |
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- | 0.0464 | 0.24 | 150 | 0.0488 |
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- | 0.0492 | 0.25 | 155 | 0.0469 |
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- | 0.0612 | 0.26 | 160 | 0.0461 |
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- | 0.0617 | 0.26 | 165 | 0.0461 |
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- | 0.0533 | 0.27 | 170 | 0.0454 |
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- | 0.0531 | 0.28 | 175 | 0.0445 |
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- | 0.0588 | 0.29 | 180 | 0.0424 |
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- | 0.039 | 0.3 | 185 | 0.0408 |
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- | 0.0517 | 0.3 | 190 | 0.0404 |
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- | 0.0383 | 0.31 | 195 | 0.0395 |
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- | 0.0466 | 0.32 | 200 | 0.0387 |
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- | 0.0335 | 0.33 | 205 | 0.0390 |
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- | 0.0421 | 0.34 | 210 | 0.0386 |
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- | 0.0595 | 0.34 | 215 | 0.0379 |
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- | 0.0564 | 0.35 | 220 | 0.0378 |
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- | 0.0368 | 0.36 | 225 | 0.0367 |
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- | 0.0396 | 0.37 | 230 | 0.0365 |
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- | 0.077 | 0.38 | 235 | 0.0367 |
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- | 0.041 | 0.38 | 240 | 0.0359 |
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- | 0.0472 | 0.39 | 245 | 0.0360 |
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- | 0.0333 | 0.4 | 250 | 0.0351 |
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- | 0.0242 | 0.41 | 255 | 0.0356 |
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- | 0.0356 | 0.42 | 260 | 0.0356 |
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- | 0.0306 | 0.42 | 265 | 0.0351 |
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- | 0.0403 | 0.43 | 270 | 0.0342 |
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- | 0.0496 | 0.44 | 275 | 0.0334 |
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- | 0.0425 | 0.45 | 280 | 0.0333 |
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- | 0.046 | 0.46 | 285 | 0.0339 |
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- | 0.0334 | 0.46 | 290 | 0.0335 |
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- | 0.0423 | 0.47 | 295 | 0.0328 |
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- | 0.0338 | 0.48 | 300 | 0.0327 |
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- | 0.0374 | 0.49 | 305 | 0.0328 |
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- | 0.0355 | 0.5 | 310 | 0.0329 |
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- | 0.0321 | 0.5 | 315 | 0.0325 |
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- | 0.0303 | 0.51 | 320 | 0.0321 |
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- | 0.0313 | 0.52 | 325 | 0.0321 |
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- | 0.0393 | 0.53 | 330 | 0.0318 |
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- | 0.0475 | 0.54 | 335 | 0.0324 |
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- | 0.0367 | 0.54 | 340 | 0.0328 |
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- | 0.0317 | 0.55 | 345 | 0.0316 |
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- | 0.0274 | 0.56 | 350 | 0.0318 |
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- | 0.0282 | 0.57 | 355 | 0.0314 |
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- | 0.0278 | 0.58 | 360 | 0.0314 |
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- | 0.0579 | 0.58 | 365 | 0.0312 |
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- | 0.0278 | 0.59 | 370 | 0.0308 |
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- | 0.039 | 0.6 | 375 | 0.0306 |
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- | 0.0337 | 0.61 | 380 | 0.0311 |
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- | 0.041 | 0.62 | 385 | 0.0313 |
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- | 0.0343 | 0.62 | 390 | 0.0310 |
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- | 0.0366 | 0.63 | 395 | 0.0316 |
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- | 0.0312 | 0.64 | 400 | 0.0309 |
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- | 0.0363 | 0.65 | 405 | 0.0309 |
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- | 0.0377 | 0.66 | 410 | 0.0309 |
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- | 0.0344 | 0.66 | 415 | 0.0308 |
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- | 0.0404 | 0.67 | 420 | 0.0304 |
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- | 0.0302 | 0.68 | 425 | 0.0303 |
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- | 0.0322 | 0.69 | 430 | 0.0305 |
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- | 0.0333 | 0.7 | 435 | 0.0296 |
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- | 0.0285 | 0.7 | 440 | 0.0302 |
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- | 0.0232 | 0.71 | 445 | 0.0301 |
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- | 0.0446 | 0.72 | 450 | 0.0301 |
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- | 0.0372 | 0.73 | 455 | 0.0296 |
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- | 0.0238 | 0.74 | 460 | 0.0298 |
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- | 0.0244 | 0.74 | 465 | 0.0297 |
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- | 0.0435 | 0.75 | 470 | 0.0297 |
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- | 0.0407 | 0.76 | 475 | 0.0298 |
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- | 0.0355 | 0.77 | 480 | 0.0299 |
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- | 0.0277 | 0.78 | 485 | 0.0291 |
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- | 0.043 | 0.78 | 490 | 0.0293 |
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- | 0.0355 | 0.79 | 495 | 0.0297 |
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- | 0.0368 | 0.8 | 500 | 0.0295 |
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- | 0.033 | 0.81 | 505 | 0.0302 |
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- | 0.0422 | 0.82 | 510 | 0.0293 |
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- | 0.0171 | 0.82 | 515 | 0.0297 |
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- | 0.034 | 0.83 | 520 | 0.0298 |
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- | 0.0336 | 0.84 | 525 | 0.0297 |
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- | 0.0464 | 0.85 | 530 | 0.0295 |
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- | 0.0341 | 0.86 | 535 | 0.0293 |
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- | 0.0266 | 0.86 | 540 | 0.0293 |
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- | 0.027 | 0.87 | 545 | 0.0298 |
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- | 0.0255 | 0.88 | 550 | 0.0293 |
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- | 0.0402 | 0.89 | 555 | 0.0298 |
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- | 0.0354 | 0.9 | 560 | 0.0295 |
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- | 0.0288 | 0.9 | 565 | 0.0290 |
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- | 0.0363 | 0.91 | 570 | 0.0294 |
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- | 0.0286 | 0.92 | 575 | 0.0293 |
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- | 0.0416 | 0.93 | 580 | 0.0294 |
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- | 0.0407 | 0.94 | 585 | 0.0297 |
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- | 0.044 | 0.94 | 590 | 0.0291 |
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- | 0.0333 | 0.95 | 595 | 0.0295 |
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- | 0.0233 | 0.96 | 600 | 0.0292 |
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- | 0.0321 | 0.97 | 605 | 0.0296 |
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- | 0.0319 | 0.98 | 610 | 0.0294 |
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- | 0.0409 | 0.98 | 615 | 0.0293 |
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- | 0.0338 | 0.99 | 620 | 0.0293 |
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- | 0.0179 | 1.0 | 625 | 0.0295 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.38.1
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  - Pytorch 2.1.0a0+32f93b1
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  - Datasets 2.17.1
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  - Tokenizers 0.15.2
 
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  This model is a fine-tuned version of [deepseek-ai/deepseek-math-7b-base](https://huggingface.co/deepseek-ai/deepseek-math-7b-base) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
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+ - Loss: 0.0475
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  ## Model description
23
 
 
36
  ### Training hyperparameters
37
 
38
  The following hyperparameters were used during training:
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+ - learning_rate: 3e-06
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+ - train_batch_size: 16
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  - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 64
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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_steps: 1
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  - num_epochs: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.8425 | 0.01 | 1 | 0.4687 |
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+ | 0.8496 | 0.01 | 2 | 0.4640 |
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+ | 0.819 | 0.02 | 3 | 0.4579 |
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+ | 0.8173 | 0.03 | 4 | 0.4532 |
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+ | 0.8297 | 0.03 | 5 | 0.4495 |
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+ | 0.8014 | 0.04 | 6 | 0.4447 |
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+ | 0.7981 | 0.04 | 7 | 0.4399 |
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+ | 0.7716 | 0.05 | 8 | 0.4375 |
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+ | 0.6996 | 0.06 | 9 | 0.4332 |
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+ | 0.6631 | 0.06 | 10 | 0.4302 |
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+ | 0.6596 | 0.07 | 11 | 0.4247 |
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+ | 0.6887 | 0.08 | 12 | 0.4221 |
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+ | 0.6373 | 0.08 | 13 | 0.4180 |
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+ | 0.6536 | 0.09 | 14 | 0.4161 |
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+ | 0.6112 | 0.1 | 15 | 0.4102 |
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+ | 0.6113 | 0.1 | 16 | 0.4072 |
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+ | 0.5427 | 0.11 | 17 | 0.4041 |
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+ | 0.5434 | 0.12 | 18 | 0.4005 |
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+ | 0.5098 | 0.12 | 19 | 0.3955 |
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+ | 0.5567 | 0.13 | 20 | 0.3914 |
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+ | 0.4984 | 0.13 | 21 | 0.3889 |
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+ | 0.5414 | 0.14 | 22 | 0.3852 |
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+ | 0.4851 | 0.15 | 23 | 0.3818 |
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+ | 0.4599 | 0.15 | 24 | 0.3769 |
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+ | 0.4423 | 0.16 | 25 | 0.3736 |
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+ | 0.4562 | 0.17 | 26 | 0.3711 |
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+ | 0.4359 | 0.17 | 27 | 0.3677 |
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+ | 0.4182 | 0.18 | 28 | 0.3631 |
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+ | 0.4302 | 0.19 | 29 | 0.3612 |
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+ | 0.4294 | 0.19 | 30 | 0.3556 |
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+ | 0.4169 | 0.2 | 31 | 0.3527 |
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+ | 0.3764 | 0.2 | 32 | 0.3483 |
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+ | 0.3773 | 0.21 | 33 | 0.3451 |
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+ | 0.3611 | 0.22 | 34 | 0.3423 |
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+ | 0.3524 | 0.22 | 35 | 0.3380 |
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+ | 0.3528 | 0.23 | 36 | 0.3337 |
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+ | 0.3666 | 0.24 | 37 | 0.3306 |
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+ | 0.3536 | 0.24 | 38 | 0.3266 |
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+ | 0.3812 | 0.25 | 39 | 0.3223 |
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+ | 0.2976 | 0.26 | 40 | 0.3191 |
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+ | 0.2805 | 0.26 | 41 | 0.3157 |
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+ | 0.2739 | 0.27 | 42 | 0.3115 |
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+ | 0.2994 | 0.28 | 43 | 0.3089 |
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+ | 0.2864 | 0.28 | 44 | 0.3031 |
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+ | 0.2745 | 0.29 | 45 | 0.3003 |
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+ | 0.2666 | 0.29 | 46 | 0.2968 |
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+ | 0.3109 | 0.3 | 47 | 0.2914 |
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+ | 0.2603 | 0.31 | 48 | 0.2873 |
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+ | 0.2761 | 0.31 | 49 | 0.2821 |
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+ | 0.2566 | 0.32 | 50 | 0.2792 |
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+ | 0.2637 | 0.33 | 51 | 0.2758 |
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+ | 0.2388 | 0.33 | 52 | 0.2706 |
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+ | 0.2474 | 0.34 | 53 | 0.2651 |
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+ | 0.2462 | 0.35 | 54 | 0.2607 |
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+ | 0.2617 | 0.35 | 55 | 0.2567 |
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+ | 0.2387 | 0.36 | 56 | 0.2513 |
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+ | 0.2171 | 0.36 | 57 | 0.2482 |
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+ | 0.2324 | 0.37 | 58 | 0.2428 |
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+ | 0.227 | 0.38 | 59 | 0.2384 |
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+ | 0.2366 | 0.38 | 60 | 0.2332 |
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+ | 0.2174 | 0.39 | 61 | 0.2288 |
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+ | 0.2083 | 0.4 | 62 | 0.2237 |
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+ | 0.1935 | 0.4 | 63 | 0.2198 |
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+ | 0.2141 | 0.41 | 64 | 0.2152 |
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+ | 0.2044 | 0.42 | 65 | 0.2111 |
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+ | 0.2061 | 0.42 | 66 | 0.2064 |
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+ | 0.2005 | 0.43 | 67 | 0.2011 |
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+ | 0.1895 | 0.44 | 68 | 0.1944 |
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+ | 0.1823 | 0.44 | 69 | 0.1902 |
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+ | 0.1763 | 0.45 | 70 | 0.1874 |
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+ | 0.1897 | 0.45 | 71 | 0.1814 |
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+ | 0.1853 | 0.46 | 72 | 0.1764 |
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+ | 0.1674 | 0.47 | 73 | 0.1706 |
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+ | 0.1642 | 0.47 | 74 | 0.1648 |
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+ | 0.1677 | 0.48 | 75 | 0.1604 |
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+ | 0.1551 | 0.49 | 76 | 0.1544 |
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+ | 0.1457 | 0.49 | 77 | 0.1486 |
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+ | 0.1497 | 0.5 | 78 | 0.1434 |
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+ | 0.1389 | 0.51 | 79 | 0.1374 |
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+ | 0.1396 | 0.51 | 80 | 0.1325 |
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+ | 0.1297 | 0.52 | 81 | 0.1266 |
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+ | 0.1298 | 0.52 | 82 | 0.1211 |
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+ | 0.1162 | 0.53 | 83 | 0.1164 |
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+ | 0.13 | 0.54 | 84 | 0.1127 |
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+ | 0.1207 | 0.54 | 85 | 0.1085 |
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+ | 0.1165 | 0.55 | 86 | 0.1039 |
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+ | 0.1088 | 0.56 | 87 | 0.1012 |
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+ | 0.1082 | 0.56 | 88 | 0.0969 |
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+ | 0.109 | 0.57 | 89 | 0.0952 |
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+ | 0.1102 | 0.58 | 90 | 0.0924 |
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+ | 0.1026 | 0.58 | 91 | 0.0891 |
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+ | 0.1058 | 0.59 | 92 | 0.0875 |
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+ | 0.0973 | 0.6 | 93 | 0.0861 |
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+ | 0.0941 | 0.61 | 95 | 0.0838 |
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+ | 0.0884 | 0.62 | 97 | 0.0812 |
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+ | 0.0855 | 0.63 | 98 | 0.0798 |
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+ | 0.0875 | 0.63 | 99 | 0.0781 |
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+ | 0.0833 | 0.64 | 100 | 0.0766 |
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+ | 0.0836 | 0.65 | 101 | 0.0757 |
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+ | 0.0809 | 0.65 | 102 | 0.0745 |
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+ | 0.0839 | 0.66 | 103 | 0.0731 |
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+ | 0.0748 | 0.67 | 104 | 0.0717 |
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+ | 0.0779 | 0.67 | 105 | 0.0710 |
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+ | 0.0768 | 0.68 | 106 | 0.0705 |
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+ | 0.0794 | 0.68 | 107 | 0.0693 |
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+ | 0.079 | 0.69 | 108 | 0.0679 |
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+ | 0.0808 | 0.7 | 109 | 0.0667 |
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+ | 0.0785 | 0.7 | 110 | 0.0658 |
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+ | 0.0669 | 0.71 | 111 | 0.0649 |
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+ | 0.0715 | 0.72 | 112 | 0.0640 |
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+ | 0.0751 | 0.72 | 113 | 0.0632 |
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+ | 0.0727 | 0.73 | 114 | 0.0626 |
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+ | 0.0725 | 0.74 | 115 | 0.0625 |
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+ | 0.0665 | 0.74 | 116 | 0.0614 |
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+ | 0.0636 | 0.81 | 127 | 0.0558 |
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+ | 0.0576 | 0.83 | 129 | 0.0547 |
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+ | 0.0628 | 0.83 | 130 | 0.0544 |
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+ | 0.056 | 0.84 | 131 | 0.0542 |
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+ | 0.0572 | 0.84 | 132 | 0.0536 |
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+ | 0.0571 | 0.88 | 137 | 0.0514 |
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+ | 0.0594 | 0.88 | 138 | 0.0510 |
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+ | 0.0507 | 0.9 | 140 | 0.0508 |
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+ | 0.0587 | 0.9 | 141 | 0.0503 |
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+ | 0.0558 | 0.91 | 142 | 0.0504 |
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+ | 0.059 | 0.94 | 147 | 0.0496 |
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+ | 0.0508 | 0.95 | 148 | 0.0494 |
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+ | 0.0563 | 0.95 | 149 | 0.0491 |
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+ | 0.0472 | 0.96 | 150 | 0.0484 |
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+ | 0.0526 | 0.97 | 151 | 0.0482 |
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+ | 0.0525 | 0.97 | 152 | 0.0482 |
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+ | 0.0483 | 0.98 | 153 | 0.0478 |
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+ | 0.0541 | 0.99 | 154 | 0.0483 |
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+ | 0.0521 | 0.99 | 155 | 0.0474 |
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+ | 0.0556 | 1.0 | 156 | 0.0475 |
210
 
211
 
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  ### Framework versions
213
 
214
+ - Transformers 4.37.2
215
  - Pytorch 2.1.0a0+32f93b1
216
  - Datasets 2.17.1
217
  - Tokenizers 0.15.2
config.json CHANGED
@@ -22,7 +22,7 @@
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  "rope_theta": 10000.0,
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  "tie_word_embeddings": false,
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  "torch_dtype": "bfloat16",
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- "transformers_version": "4.38.1",
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  "use_cache": false,
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  "vocab_size": 102400
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  }
 
22
  "rope_theta": 10000.0,
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  "tie_word_embeddings": false,
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  "torch_dtype": "bfloat16",
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+ "transformers_version": "4.37.2",
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  "use_cache": false,
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  "vocab_size": 102400
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  }
generation_config.json CHANGED
@@ -2,5 +2,5 @@
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3
  "bos_token_id": 100000,
4
  "eos_token_id": 100001,
5
- "transformers_version": "4.38.1"
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  }
 
2
  "_from_model_config": true,
3
  "bos_token_id": 100000,
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  "eos_token_id": 100001,
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+ "transformers_version": "4.37.2"
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  }
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