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woody72
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output-itemHalfTax-wd0.1

Text Generation
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llama
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sft
Generated from Trainer
text-generation-inference
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  1. README.md +186 -0
  2. config.json +28 -0
  3. generation_config.json +6 -0
  4. model-00001-of-00003.safetensors +3 -0
  5. model-00002-of-00003.safetensors +3 -0
  6. model-00003-of-00003.safetensors +3 -0
  7. model.safetensors.index.json +280 -0
  8. special_tokens_map.json +17 -0
  9. tokenizer.json +0 -0
  10. tokenizer_config.json +32 -0
  11. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: other
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+ base_model: deepseek-ai/deepseek-math-7b-base
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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: output-itemHalfTax-wd0.1
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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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+ # output-itemHalfTax-wd0.1
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+
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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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+
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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: 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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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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+ "use_cache": false,
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+ "vocab_size": 102400
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+ }
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