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Mistral-7B-v0.3_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/mistral-7b-v0.3-bnb-4bit
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  library_name: peft
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  license: apache-2.0
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  tags:
@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # Mistral-7B-v0.3_metamath_default
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- This model is a fine-tuned version of [unsloth/mistral-7b-v0.3-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-v0.3-bnb-4bit) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.0734
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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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- | 0.7559 | 0.0211 | 13 | 8.3985 |
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- | 9.4604 | 0.0421 | 26 | 6.8141 |
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- | 6.7353 | 0.0632 | 39 | 6.4223 |
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- | 6.4242 | 0.0842 | 52 | 6.2759 |
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- | 6.1115 | 0.1053 | 65 | 6.0333 |
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- | 5.9214 | 0.1264 | 78 | 5.8343 |
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- | 5.6735 | 0.1474 | 91 | 5.5846 |
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- | 5.557 | 0.1685 | 104 | 5.4916 |
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- | 5.3297 | 0.1896 | 117 | 5.2345 |
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- | 5.1963 | 0.2106 | 130 | 5.1310 |
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- | 5.1252 | 0.2317 | 143 | 5.0674 |
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- | 4.983 | 0.2527 | 156 | 4.9390 |
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- | 4.8933 | 0.2738 | 169 | 4.8252 |
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- | 4.7722 | 0.2949 | 182 | 4.7449 |
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- | 4.7722 | 0.3159 | 195 | 4.7386 |
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- | 4.6446 | 0.3370 | 208 | 4.6346 |
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- | 4.5823 | 0.3580 | 221 | 4.5544 |
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- | 4.576 | 0.3791 | 234 | 4.5238 |
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- | 4.5056 | 0.4002 | 247 | 4.6538 |
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- | 4.5501 | 0.4212 | 260 | 4.4766 |
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- | 4.5197 | 0.4423 | 273 | 4.4369 |
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- | 4.6259 | 0.4633 | 286 | 4.4561 |
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- | 4.546 | 0.4844 | 299 | 4.4278 |
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- | 4.3478 | 0.5055 | 312 | 4.3790 |
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- | 4.3754 | 0.5265 | 325 | 4.3635 |
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- | 4.2714 | 0.5476 | 338 | 4.3611 |
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- | 4.3724 | 0.5687 | 351 | 4.3629 |
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- | 4.2961 | 0.5897 | 364 | 4.2578 |
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- | 4.2806 | 0.6108 | 377 | 4.2863 |
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- | 4.3088 | 0.6318 | 390 | 4.2221 |
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- | 4.2165 | 0.6529 | 403 | 4.2158 |
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- | 4.1776 | 0.6740 | 416 | 4.1896 |
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- | 4.2615 | 0.6950 | 429 | 4.3146 |
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- | 4.2536 | 0.7161 | 442 | 4.2153 |
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- | 4.1308 | 0.7371 | 455 | 4.1701 |
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- | 4.1749 | 0.7582 | 468 | 4.1346 |
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- | 4.1219 | 0.7793 | 481 | 4.1276 |
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- | 4.136 | 0.8003 | 494 | 4.1162 |
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- | 4.1453 | 0.8214 | 507 | 4.1070 |
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- | 4.1025 | 0.8424 | 520 | 4.1167 |
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- | 4.1207 | 0.8635 | 533 | 4.0925 |
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- | 4.0847 | 0.8846 | 546 | 4.0926 |
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- | 4.1504 | 0.9056 | 559 | 4.0795 |
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- | 4.1211 | 0.9267 | 572 | 4.0711 |
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- | 4.038 | 0.9478 | 585 | 4.0763 |
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- | 4.0944 | 0.9688 | 598 | 4.0744 |
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- | 4.0771 | 0.9899 | 611 | 4.0734 |
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  ### Framework versions
 
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  ---
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+ base_model: unsloth/mistral-7b-v0.3
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  library_name: peft
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  license: apache-2.0
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  tags:
 
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  # Mistral-7B-v0.3_metamath_default
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+ This model is a fine-tuned version of [unsloth/mistral-7b-v0.3](https://huggingface.co/unsloth/mistral-7b-v0.3) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 4.3239
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 0.7439 | 0.0211 | 13 | 4.5181 |
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+ | 8.6977 | 0.0421 | 26 | 6.6816 |
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+ | 6.6139 | 0.0632 | 39 | 6.4690 |
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+ | 6.3559 | 0.0842 | 52 | 6.4403 |
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+ | 6.2844 | 0.1053 | 65 | 6.3007 |
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+ | 6.1379 | 0.1264 | 78 | 6.0592 |
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+ | 5.9506 | 0.1474 | 91 | 5.9143 |
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+ | 5.8886 | 0.1685 | 104 | 5.9890 |
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+ | 5.7387 | 0.1896 | 117 | 5.6559 |
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+ | 5.672 | 0.2106 | 130 | 5.7240 |
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+ | 5.5425 | 0.2317 | 143 | 5.5165 |
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+ | 5.473 | 0.2527 | 156 | 5.4238 |
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+ | 5.328 | 0.2738 | 169 | 5.3434 |
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+ | 5.241 | 0.2949 | 182 | 5.2088 |
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+ | 5.2491 | 0.3159 | 195 | 5.3291 |
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+ | 5.2994 | 0.3370 | 208 | 5.1687 |
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+ | 5.1595 | 0.3580 | 221 | 5.0797 |
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+ | 5.0592 | 0.3791 | 234 | 5.0005 |
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+ | 4.9674 | 0.4002 | 247 | 4.9525 |
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+ | 4.9663 | 0.4212 | 260 | 4.9704 |
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+ | 5.0169 | 0.4423 | 273 | 4.9718 |
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+ | 4.9333 | 0.4633 | 286 | 4.8277 |
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+ | 4.8687 | 0.4844 | 299 | 4.8131 |
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+ | 4.7215 | 0.5055 | 312 | 4.7606 |
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+ | 4.7602 | 0.5265 | 325 | 4.7049 |
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+ | 4.7033 | 0.5476 | 338 | 4.7817 |
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+ | 4.7179 | 0.5687 | 351 | 4.6428 |
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+ | 4.6525 | 0.5897 | 364 | 4.5964 |
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+ | 4.5923 | 0.6108 | 377 | 4.5608 |
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+ | 4.5936 | 0.6318 | 390 | 4.5676 |
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+ | 4.5142 | 0.6529 | 403 | 4.5016 |
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+ | 4.4717 | 0.6740 | 416 | 4.4422 |
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+ | 4.5539 | 0.6950 | 429 | 4.5177 |
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+ | 4.5129 | 0.7161 | 442 | 4.5397 |
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+ | 4.4162 | 0.7371 | 455 | 4.4050 |
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+ | 4.4328 | 0.7582 | 468 | 4.4244 |
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+ | 4.3949 | 0.7793 | 481 | 4.4013 |
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+ | 4.3946 | 0.8003 | 494 | 4.3721 |
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+ | 4.393 | 0.8214 | 507 | 4.3586 |
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+ | 4.3872 | 0.8424 | 520 | 4.3552 |
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+ | 4.3787 | 0.8635 | 533 | 4.4043 |
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+ | 4.3477 | 0.8846 | 546 | 4.3537 |
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+ | 4.3957 | 0.9056 | 559 | 4.3334 |
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+ | 4.3634 | 0.9267 | 572 | 4.3088 |
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+ | 4.2898 | 0.9478 | 585 | 4.3342 |
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+ | 4.355 | 0.9688 | 598 | 4.3202 |
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+ | 4.3331 | 0.9899 | 611 | 4.3239 |
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  ### Framework versions
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