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Qwen2-7B_metamath_ortho

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/qwen2-7b-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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  # Qwen2-7B_metamath_ortho
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- This model is a fine-tuned version of [unsloth/qwen2-7b-bnb-4bit](https://huggingface.co/unsloth/qwen2-7b-bnb-4bit) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2209
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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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- | 0.2058 | 0.0211 | 13 | 0.2001 |
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- | 0.2083 | 0.0421 | 26 | 0.2441 |
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- | 0.247 | 0.0632 | 39 | 0.2670 |
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- | 0.2629 | 0.0842 | 52 | 0.2797 |
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- | 0.2692 | 0.1053 | 65 | 0.2921 |
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- | 0.2867 | 0.1264 | 78 | 0.2992 |
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- | 0.2939 | 0.1474 | 91 | 0.3022 |
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- | 0.2839 | 0.1685 | 104 | 0.3037 |
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- | 0.2922 | 0.1896 | 117 | 0.3071 |
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- | 0.2937 | 0.2106 | 130 | 0.3114 |
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- | 0.3016 | 0.2317 | 143 | 0.3096 |
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- | 0.298 | 0.2527 | 156 | 0.3078 |
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- | 0.3059 | 0.2738 | 169 | 0.3083 |
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- | 0.2883 | 0.2949 | 182 | 0.3052 |
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- | 0.3013 | 0.3159 | 195 | 0.3010 |
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- | 0.2874 | 0.3370 | 208 | 0.2995 |
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- | 0.286 | 0.3580 | 221 | 0.2979 |
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- | 0.2877 | 0.3791 | 234 | 0.2981 |
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- | 0.2858 | 0.4002 | 247 | 0.2921 |
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- | 0.2853 | 0.4212 | 260 | 0.2906 |
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- | 0.2887 | 0.4423 | 273 | 0.2882 |
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- | 0.2772 | 0.4633 | 286 | 0.2837 |
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- | 0.2867 | 0.4844 | 299 | 0.2799 |
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- | 0.2659 | 0.5055 | 312 | 0.2776 |
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- | 0.2688 | 0.5265 | 325 | 0.2746 |
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- | 0.2564 | 0.5476 | 338 | 0.2690 |
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- | 0.2587 | 0.5687 | 351 | 0.2657 |
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- | 0.2615 | 0.5897 | 364 | 0.2619 |
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- | 0.2517 | 0.6108 | 377 | 0.2576 |
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- | 0.2453 | 0.6318 | 390 | 0.2516 |
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- | 0.2473 | 0.6529 | 403 | 0.2475 |
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- | 0.2494 | 0.6740 | 416 | 0.2444 |
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- | 0.2397 | 0.6950 | 429 | 0.2405 |
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- | 0.2438 | 0.7161 | 442 | 0.2369 |
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- | 0.2288 | 0.7371 | 455 | 0.2344 |
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- | 0.2293 | 0.7582 | 468 | 0.2319 |
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- | 0.2372 | 0.7793 | 481 | 0.2310 |
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- | 0.2296 | 0.8003 | 494 | 0.2284 |
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- | 0.2163 | 0.8214 | 507 | 0.2263 |
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- | 0.2249 | 0.8424 | 520 | 0.2241 |
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- | 0.219 | 0.8635 | 533 | 0.2234 |
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- | 0.2154 | 0.8846 | 546 | 0.2230 |
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- | 0.2107 | 0.9056 | 559 | 0.2221 |
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- | 0.2132 | 0.9267 | 572 | 0.2215 |
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- | 0.2202 | 0.9478 | 585 | 0.2212 |
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- | 0.2197 | 0.9688 | 598 | 0.2211 |
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- | 0.2168 | 0.9899 | 611 | 0.2209 |
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  ### Framework versions
 
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  ---
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+ base_model: unsloth/Qwen2-7B
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  library_name: peft
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  license: apache-2.0
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  tags:
 
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  # Qwen2-7B_metamath_ortho
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+ This model is a fine-tuned version of [unsloth/Qwen2-7B](https://huggingface.co/unsloth/Qwen2-7B) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2061
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 0.1901 | 0.0211 | 13 | 0.1752 |
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+ | 0.1801 | 0.0421 | 26 | 0.2122 |
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+ | 0.2158 | 0.0632 | 39 | 0.2351 |
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+ | 0.2309 | 0.0842 | 52 | 0.2526 |
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+ | 0.242 | 0.1053 | 65 | 0.2650 |
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+ | 0.2587 | 0.1264 | 78 | 0.2717 |
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+ | 0.2671 | 0.1474 | 91 | 0.2770 |
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+ | 0.2594 | 0.1685 | 104 | 0.2786 |
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+ | 0.2707 | 0.1896 | 117 | 0.2831 |
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+ | 0.2661 | 0.2106 | 130 | 0.2895 |
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+ | 0.2795 | 0.2317 | 143 | 0.2919 |
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+ | 0.2747 | 0.2527 | 156 | 0.2873 |
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+ | 0.2824 | 0.2738 | 169 | 0.2873 |
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+ | 0.2717 | 0.2949 | 182 | 0.2873 |
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+ | 0.2801 | 0.3159 | 195 | 0.2838 |
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+ | 0.2713 | 0.3370 | 208 | 0.2821 |
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+ | 0.2678 | 0.3580 | 221 | 0.2797 |
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+ | 0.2692 | 0.3791 | 234 | 0.2787 |
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+ | 0.2671 | 0.4002 | 247 | 0.2769 |
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+ | 0.268 | 0.4212 | 260 | 0.2742 |
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+ | 0.2713 | 0.4423 | 273 | 0.2729 |
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+ | 0.26 | 0.4633 | 286 | 0.2679 |
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+ | 0.2677 | 0.4844 | 299 | 0.2628 |
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+ | 0.248 | 0.5055 | 312 | 0.2594 |
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+ | 0.2481 | 0.5265 | 325 | 0.2574 |
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+ | 0.2381 | 0.5476 | 338 | 0.2521 |
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+ | 0.2427 | 0.5687 | 351 | 0.2501 |
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+ | 0.2463 | 0.5897 | 364 | 0.2442 |
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+ | 0.2339 | 0.6108 | 377 | 0.2396 |
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+ | 0.2304 | 0.6318 | 390 | 0.2343 |
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+ | 0.2291 | 0.6529 | 403 | 0.2309 |
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+ | 0.2308 | 0.6740 | 416 | 0.2291 |
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+ | 0.224 | 0.6950 | 429 | 0.2254 |
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+ | 0.2248 | 0.7161 | 442 | 0.2224 |
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+ | 0.2122 | 0.7371 | 455 | 0.2184 |
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+ | 0.2135 | 0.7582 | 468 | 0.2162 |
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+ | 0.2181 | 0.7793 | 481 | 0.2154 |
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+ | 0.213 | 0.8003 | 494 | 0.2133 |
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+ | 0.2022 | 0.8214 | 507 | 0.2115 |
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+ | 0.2084 | 0.8424 | 520 | 0.2093 |
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+ | 0.206 | 0.8635 | 533 | 0.2080 |
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+ | 0.201 | 0.8846 | 546 | 0.2074 |
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+ | 0.1971 | 0.9056 | 559 | 0.2069 |
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+ | 0.1986 | 0.9267 | 572 | 0.2065 |
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+ | 0.2049 | 0.9478 | 585 | 0.2064 |
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+ | 0.2034 | 0.9688 | 598 | 0.2061 |
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+ | 0.2044 | 0.9899 | 611 | 0.2061 |
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  ### Framework versions
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