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End of training

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  1. README.md +48 -48
  2. adapter_model.safetensors +1 -1
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 [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: 0.2149
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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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- | 0.1753 | 0.0211 | 13 | 0.1875 |
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- | 0.2034 | 0.0421 | 26 | 0.2488 |
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- | 0.2604 | 0.0632 | 39 | 0.2850 |
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- | 0.2823 | 0.0842 | 52 | 0.3067 |
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- | 0.2953 | 0.1053 | 65 | 0.3213 |
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- | 0.3151 | 0.1264 | 78 | 0.3321 |
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- | 0.3224 | 0.1474 | 91 | 0.3354 |
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- | 0.3144 | 0.1685 | 104 | 0.3366 |
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- | 0.3291 | 0.1896 | 117 | 0.3428 |
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- | 0.3233 | 0.2106 | 130 | 0.3447 |
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- | 0.3342 | 0.2317 | 143 | 0.3455 |
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- | 0.3292 | 0.2527 | 156 | 0.3393 |
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- | 0.3322 | 0.2738 | 169 | 0.3418 |
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- | 0.3225 | 0.2949 | 182 | 0.3334 |
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- | 0.3306 | 0.3159 | 195 | 0.3326 |
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- | 0.315 | 0.3370 | 208 | 0.3303 |
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- | 0.3135 | 0.3580 | 221 | 0.3307 |
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- | 0.3131 | 0.3791 | 234 | 0.3264 |
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- | 0.3114 | 0.4002 | 247 | 0.3211 |
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- | 0.3065 | 0.4212 | 260 | 0.3160 |
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- | 0.315 | 0.4423 | 273 | 0.3122 |
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- | 0.296 | 0.4633 | 286 | 0.3074 |
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- | 0.306 | 0.4844 | 299 | 0.2980 |
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- | 0.2821 | 0.5055 | 312 | 0.2968 |
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- | 0.2861 | 0.5265 | 325 | 0.2924 |
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- | 0.2717 | 0.5476 | 338 | 0.2850 |
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- | 0.2704 | 0.5687 | 351 | 0.2784 |
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- | 0.2693 | 0.5897 | 364 | 0.2716 |
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- | 0.2612 | 0.6108 | 377 | 0.2652 |
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- | 0.2512 | 0.6318 | 390 | 0.2601 |
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- | 0.2537 | 0.6529 | 403 | 0.2543 |
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- | 0.2543 | 0.6740 | 416 | 0.2498 |
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- | 0.2443 | 0.6950 | 429 | 0.2463 |
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- | 0.2441 | 0.7161 | 442 | 0.2407 |
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- | 0.2286 | 0.7371 | 455 | 0.2362 |
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- | 0.2298 | 0.7582 | 468 | 0.2327 |
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- | 0.2304 | 0.7793 | 481 | 0.2300 |
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- | 0.2266 | 0.8003 | 494 | 0.2270 |
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- | 0.2127 | 0.8214 | 507 | 0.2231 |
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- | 0.2193 | 0.8424 | 520 | 0.2205 |
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- | 0.2136 | 0.8635 | 533 | 0.2190 |
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- | 0.2099 | 0.8846 | 546 | 0.2176 |
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- | 0.2042 | 0.9056 | 559 | 0.2165 |
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- | 0.2077 | 0.9267 | 572 | 0.2158 |
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- | 0.2136 | 0.9478 | 585 | 0.2152 |
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- | 0.2131 | 0.9688 | 598 | 0.2150 |
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- | 0.2124 | 0.9899 | 611 | 0.2149 |
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  ### Framework versions
 
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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: 0.2142
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 0.1753 | 0.0211 | 13 | 0.1877 |
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+ | 0.2034 | 0.0421 | 26 | 0.2530 |
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+ | 0.261 | 0.0632 | 39 | 0.2844 |
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+ | 0.2864 | 0.0842 | 52 | 0.3107 |
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+ | 0.2984 | 0.1053 | 65 | 0.3264 |
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+ | 0.318 | 0.1264 | 78 | 0.3361 |
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+ | 0.3257 | 0.1474 | 91 | 0.3400 |
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+ | 0.3139 | 0.1685 | 104 | 0.3377 |
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+ | 0.327 | 0.1896 | 117 | 0.3429 |
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+ | 0.3219 | 0.2106 | 130 | 0.3458 |
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+ | 0.3325 | 0.2317 | 143 | 0.3458 |
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+ | 0.3273 | 0.2527 | 156 | 0.3407 |
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+ | 0.3328 | 0.2738 | 169 | 0.3395 |
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+ | 0.32 | 0.2949 | 182 | 0.3372 |
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+ | 0.3293 | 0.3159 | 195 | 0.3361 |
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+ | 0.3182 | 0.3370 | 208 | 0.3306 |
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+ | 0.3148 | 0.3580 | 221 | 0.3288 |
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+ | 0.3128 | 0.3791 | 234 | 0.3255 |
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+ | 0.3086 | 0.4002 | 247 | 0.3193 |
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+ | 0.306 | 0.4212 | 260 | 0.3143 |
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+ | 0.3122 | 0.4423 | 273 | 0.3120 |
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+ | 0.2982 | 0.4633 | 286 | 0.3059 |
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+ | 0.3023 | 0.4844 | 299 | 0.2964 |
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+ | 0.2827 | 0.5055 | 312 | 0.2940 |
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+ | 0.2844 | 0.5265 | 325 | 0.2864 |
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+ | 0.2733 | 0.5476 | 338 | 0.2828 |
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+ | 0.2711 | 0.5687 | 351 | 0.2777 |
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+ | 0.2714 | 0.5897 | 364 | 0.2723 |
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+ | 0.2605 | 0.6108 | 377 | 0.2652 |
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+ | 0.2527 | 0.6318 | 390 | 0.2588 |
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+ | 0.2526 | 0.6529 | 403 | 0.2529 |
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+ | 0.2522 | 0.6740 | 416 | 0.2490 |
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+ | 0.242 | 0.6950 | 429 | 0.2447 |
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+ | 0.2443 | 0.7161 | 442 | 0.2400 |
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+ | 0.2273 | 0.7371 | 455 | 0.2342 |
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+ | 0.2288 | 0.7582 | 468 | 0.2318 |
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+ | 0.2325 | 0.7793 | 481 | 0.2293 |
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+ | 0.2264 | 0.8003 | 494 | 0.2262 |
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+ | 0.2127 | 0.8214 | 507 | 0.2222 |
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+ | 0.2166 | 0.8424 | 520 | 0.2199 |
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+ | 0.2145 | 0.8635 | 533 | 0.2183 |
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+ | 0.2089 | 0.8846 | 546 | 0.2167 |
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+ | 0.206 | 0.9056 | 559 | 0.2158 |
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+ | 0.2078 | 0.9267 | 572 | 0.2153 |
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+ | 0.2117 | 0.9478 | 585 | 0.2147 |
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+ | 0.2125 | 0.9688 | 598 | 0.2144 |
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+ | 0.2118 | 0.9899 | 611 | 0.2142 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 80792096