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Meta-Llama-3-8B_metamath_default

PEFT
Safetensors
unsloth
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  1. README.md +50 -50
  2. adapter_model.safetensors +1 -1
README.md CHANGED
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  ---
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- base_model: unsloth/llama-3-8b-bnb-4bit
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  library_name: peft
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  license: llama3
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  tags:
@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # Meta-Llama-3-8B_metamath_default
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- This model is a fine-tuned version of [unsloth/llama-3-8b-bnb-4bit](https://huggingface.co/unsloth/llama-3-8b-bnb-4bit) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5076
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  ## Model description
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@@ -51,53 +51,53 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 1.1401 | 0.0211 | 13 | 0.7539 |
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- | 0.6625 | 0.0421 | 26 | 0.6617 |
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- | 0.6216 | 0.0632 | 39 | 0.6351 |
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- | 0.6049 | 0.0842 | 52 | 0.6233 |
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- | 0.5661 | 0.1053 | 65 | 0.6132 |
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- | 0.5763 | 0.1264 | 78 | 0.6084 |
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- | 0.5823 | 0.1474 | 91 | 0.6008 |
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- | 0.5671 | 0.1685 | 104 | 0.5951 |
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- | 0.5487 | 0.1896 | 117 | 0.5935 |
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- | 0.5486 | 0.2106 | 130 | 0.5895 |
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- | 0.5418 | 0.2317 | 143 | 0.5855 |
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- | 0.5522 | 0.2527 | 156 | 0.5829 |
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- | 0.547 | 0.2738 | 169 | 0.5749 |
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- | 0.5466 | 0.2949 | 182 | 0.5722 |
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- | 0.5369 | 0.3159 | 195 | 0.5694 |
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- | 0.5191 | 0.3370 | 208 | 0.5668 |
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- | 0.5274 | 0.3580 | 221 | 0.5617 |
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- | 0.5293 | 0.3791 | 234 | 0.5595 |
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- | 0.5384 | 0.4002 | 247 | 0.5551 |
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- | 0.5146 | 0.4212 | 260 | 0.5532 |
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- | 0.5283 | 0.4423 | 273 | 0.5499 |
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- | 0.5292 | 0.4633 | 286 | 0.5467 |
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- | 0.5305 | 0.4844 | 299 | 0.5441 |
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- | 0.5086 | 0.5055 | 312 | 0.5398 |
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- | 0.519 | 0.5265 | 325 | 0.5368 |
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- | 0.5084 | 0.5476 | 338 | 0.5355 |
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- | 0.5043 | 0.5687 | 351 | 0.5318 |
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- | 0.483 | 0.5897 | 364 | 0.5293 |
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- | 0.5066 | 0.6108 | 377 | 0.5257 |
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- | 0.5004 | 0.6318 | 390 | 0.5235 |
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- | 0.4927 | 0.6529 | 403 | 0.5226 |
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- | 0.498 | 0.6740 | 416 | 0.5199 |
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- | 0.4946 | 0.6950 | 429 | 0.5194 |
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- | 0.5002 | 0.7161 | 442 | 0.5174 |
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- | 0.49 | 0.7371 | 455 | 0.5149 |
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- | 0.477 | 0.7582 | 468 | 0.5142 |
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- | 0.4775 | 0.7793 | 481 | 0.5129 |
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- | 0.4745 | 0.8003 | 494 | 0.5119 |
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- | 0.506 | 0.8214 | 507 | 0.5105 |
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- | 0.4922 | 0.8424 | 520 | 0.5098 |
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- | 0.481 | 0.8635 | 533 | 0.5090 |
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- | 0.5014 | 0.8846 | 546 | 0.5085 |
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- | 0.4823 | 0.9056 | 559 | 0.5081 |
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- | 0.4781 | 0.9267 | 572 | 0.5078 |
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- | 0.4913 | 0.9478 | 585 | 0.5077 |
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- | 0.4975 | 0.9688 | 598 | 0.5075 |
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- | 0.4959 | 0.9899 | 611 | 0.5076 |
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  ### Framework versions
 
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  ---
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+ base_model: unsloth/llama-3-8b
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  library_name: peft
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  license: llama3
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  tags:
 
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  # Meta-Llama-3-8B_metamath_default
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+ This model is a fine-tuned version of [unsloth/llama-3-8b](https://huggingface.co/unsloth/llama-3-8b) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5068
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 0.8666 | 0.0211 | 13 | 0.7509 |
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+ | 0.6952 | 0.0421 | 26 | 0.7368 |
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+ | 0.7079 | 0.0632 | 39 | 0.7196 |
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+ | 0.6922 | 0.0842 | 52 | 0.7066 |
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+ | 0.6565 | 0.1053 | 65 | 0.7074 |
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+ | 0.6791 | 0.1264 | 78 | 0.7263 |
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+ | 0.6858 | 0.1474 | 91 | 0.7019 |
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+ | 0.6693 | 0.1685 | 104 | 0.6926 |
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+ | 0.6503 | 0.1896 | 117 | 0.6922 |
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+ | 0.6488 | 0.2106 | 130 | 0.6925 |
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+ | 0.6505 | 0.2317 | 143 | 0.6844 |
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+ | 0.6533 | 0.2527 | 156 | 0.6842 |
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+ | 0.6505 | 0.2738 | 169 | 0.6709 |
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+ | 0.6456 | 0.2949 | 182 | 0.6661 |
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+ | 0.6307 | 0.3159 | 195 | 0.6699 |
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+ | 0.6144 | 0.3370 | 208 | 0.6629 |
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+ | 0.6286 | 0.3580 | 221 | 0.6547 |
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+ | 0.6261 | 0.3791 | 234 | 0.6469 |
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+ | 0.6365 | 0.4002 | 247 | 0.6482 |
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+ | 0.6108 | 0.4212 | 260 | 0.6428 |
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+ | 0.6207 | 0.4423 | 273 | 0.6322 |
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+ | 0.6219 | 0.4633 | 286 | 0.6265 |
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+ | 0.6133 | 0.4844 | 299 | 0.6213 |
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+ | 0.5944 | 0.5055 | 312 | 0.6138 |
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+ | 0.5871 | 0.5265 | 325 | 0.6034 |
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+ | 0.5827 | 0.5476 | 338 | 0.6013 |
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+ | 0.5714 | 0.5687 | 351 | 0.5923 |
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+ | 0.5512 | 0.5897 | 364 | 0.5849 |
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+ | 0.5636 | 0.6108 | 377 | 0.5755 |
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+ | 0.5564 | 0.6318 | 390 | 0.5684 |
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+ | 0.5444 | 0.6529 | 403 | 0.5647 |
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+ | 0.5431 | 0.6740 | 416 | 0.5582 |
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+ | 0.5311 | 0.6950 | 429 | 0.5533 |
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+ | 0.5323 | 0.7161 | 442 | 0.5458 |
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+ | 0.5172 | 0.7371 | 455 | 0.5386 |
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+ | 0.5113 | 0.7582 | 468 | 0.5341 |
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+ | 0.4989 | 0.7793 | 481 | 0.5296 |
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+ | 0.4929 | 0.8003 | 494 | 0.5264 |
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+ | 0.5266 | 0.8214 | 507 | 0.5214 |
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+ | 0.5075 | 0.8424 | 520 | 0.5184 |
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+ | 0.4917 | 0.8635 | 533 | 0.5150 |
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+ | 0.5078 | 0.8846 | 546 | 0.5124 |
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+ | 0.4897 | 0.9056 | 559 | 0.5099 |
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+ | 0.4879 | 0.9267 | 572 | 0.5081 |
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+ | 0.5007 | 0.9478 | 585 | 0.5073 |
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+ | 0.4979 | 0.9688 | 598 | 0.5071 |
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+ | 0.4991 | 0.9899 | 611 | 0.5068 |
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  ### Framework versions
adapter_model.safetensors CHANGED
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