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End of training

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  1. README.md +60 -60
  2. adapter_model.safetensors +1 -1
  3. loss_plot.png +0 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2306
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  ## Model description
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@@ -52,65 +52,65 @@ 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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- | 0.5613 | 0.2002 | 721 | 0.4284 |
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- | 0.44 | 0.4003 | 1442 | 0.3884 |
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- | 0.3929 | 0.6005 | 2163 | 0.3794 |
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- | 0.3803 | 0.8007 | 2884 | 0.3589 |
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- | 0.3646 | 1.0008 | 3605 | 0.3492 |
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- | 0.3378 | 1.2010 | 4326 | 0.3442 |
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- | 0.3317 | 1.4012 | 5047 | 0.3342 |
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- | 0.3256 | 1.6013 | 5768 | 0.3264 |
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- | 0.3268 | 1.8015 | 6489 | 0.3211 |
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- | 0.321 | 2.0017 | 7210 | 0.3174 |
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- | 0.3037 | 2.2018 | 7931 | 0.3149 |
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- | 0.2988 | 2.4020 | 8652 | 0.3114 |
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- | 0.2979 | 2.6022 | 9373 | 0.3003 |
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- | 0.2939 | 2.8023 | 10094 | 0.2976 |
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- | 0.2943 | 3.0025 | 10815 | 0.2961 |
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- | 0.2702 | 3.2027 | 11536 | 0.2882 |
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- | 0.2703 | 3.4028 | 12257 | 0.2930 |
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- | 0.2699 | 3.6030 | 12978 | 0.2876 |
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- | 0.2723 | 3.8032 | 13699 | 0.2836 |
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- | 0.2698 | 4.0033 | 14420 | 0.2837 |
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- | 0.2479 | 4.2035 | 15141 | 0.2796 |
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- | 0.2487 | 4.4037 | 15862 | 0.2793 |
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- | 0.2482 | 4.6038 | 16583 | 0.2768 |
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- | 0.2501 | 4.8040 | 17304 | 0.2705 |
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- | 0.2494 | 5.0042 | 18025 | 0.2723 |
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- | 0.2255 | 5.2043 | 18746 | 0.2666 |
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- | 0.2274 | 5.4045 | 19467 | 0.2644 |
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- | 0.2272 | 5.6047 | 20188 | 0.2639 |
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- | 0.2293 | 5.8048 | 20909 | 0.2590 |
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- | 0.2301 | 6.0050 | 21630 | 0.2586 |
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- | 0.2099 | 6.2052 | 22351 | 0.2625 |
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- | 0.2087 | 6.4053 | 23072 | 0.2579 |
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- | 0.2085 | 6.6055 | 23793 | 0.2506 |
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- | 0.2106 | 6.8057 | 24514 | 0.2453 |
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- | 0.2088 | 7.0058 | 25235 | 0.2545 |
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- | 0.1949 | 7.2060 | 25956 | 0.2471 |
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- | 0.1912 | 7.4062 | 26677 | 0.2481 |
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- | 0.1906 | 7.6063 | 27398 | 0.2416 |
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- | 0.1885 | 7.8065 | 28119 | 0.2388 |
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- | 0.1882 | 8.0067 | 28840 | 0.2396 |
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- | 0.1676 | 8.2068 | 29561 | 0.2385 |
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- | 0.1707 | 8.4070 | 30282 | 0.2383 |
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- | 0.1715 | 8.6072 | 31003 | 0.2320 |
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- | 0.1717 | 8.8073 | 31724 | 0.2337 |
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- | 0.1679 | 9.0075 | 32445 | 0.2362 |
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- | 0.1484 | 9.2077 | 33166 | 0.2344 |
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- | 0.1492 | 9.4078 | 33887 | 0.2308 |
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- | 0.1513 | 9.6080 | 34608 | 0.2321 |
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- | 0.1528 | 9.8082 | 35329 | 0.2307 |
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- | 0.1507 | 10.0083 | 36050 | 0.2289 |
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- | 0.1319 | 10.2085 | 36771 | 0.2332 |
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- | 0.131 | 10.4087 | 37492 | 0.2262 |
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- | 0.1328 | 10.6088 | 38213 | 0.2263 |
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- | 0.1333 | 10.8090 | 38934 | 0.2260 |
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- | 0.1311 | 11.0092 | 39655 | 0.2293 |
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- | 0.1207 | 11.2093 | 40376 | 0.2344 |
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- | 0.1169 | 11.4095 | 41097 | 0.2312 |
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- | 0.1184 | 11.6097 | 41818 | 0.2318 |
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- | 0.1175 | 11.8098 | 42539 | 0.2306 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [deepseek-ai/deepseek-coder-1.3b-base](https://huggingface.co/deepseek-ai/deepseek-coder-1.3b-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2309
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:-----:|:---------------:|
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+ | 0.5603 | 0.2002 | 721 | 0.4280 |
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+ | 0.4421 | 0.4003 | 1442 | 0.3964 |
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+ | 0.3935 | 0.6005 | 2163 | 0.3718 |
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+ | 0.3807 | 0.8007 | 2884 | 0.3598 |
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+ | 0.3638 | 1.0008 | 3605 | 0.3509 |
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+ | 0.3388 | 1.2010 | 4326 | 0.3377 |
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+ | 0.3318 | 1.4012 | 5047 | 0.3292 |
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+ | 0.3269 | 1.6013 | 5768 | 0.3266 |
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+ | 0.3263 | 1.8015 | 6489 | 0.3187 |
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+ | 0.321 | 2.0017 | 7210 | 0.3129 |
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+ | 0.3035 | 2.2018 | 7931 | 0.3078 |
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+ | 0.2986 | 2.4020 | 8652 | 0.3113 |
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+ | 0.2983 | 2.6022 | 9373 | 0.3003 |
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+ | 0.2932 | 2.8023 | 10094 | 0.2985 |
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+ | 0.295 | 3.0025 | 10815 | 0.2942 |
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+ | 0.2707 | 3.2027 | 11536 | 0.2922 |
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+ | 0.2708 | 3.4028 | 12257 | 0.2888 |
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+ | 0.2692 | 3.6030 | 12978 | 0.2862 |
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+ | 0.2714 | 3.8032 | 13699 | 0.2828 |
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+ | 0.2701 | 4.0033 | 14420 | 0.2790 |
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+ | 0.2473 | 4.2035 | 15141 | 0.2722 |
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+ | 0.2487 | 4.4037 | 15862 | 0.2764 |
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+ | 0.2493 | 4.6038 | 16583 | 0.2731 |
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+ | 0.2491 | 4.8040 | 17304 | 0.2675 |
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+ | 0.2491 | 5.0042 | 18025 | 0.2660 |
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+ | 0.2245 | 5.2043 | 18746 | 0.2611 |
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+ | 0.2279 | 5.4045 | 19467 | 0.2609 |
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+ | 0.2272 | 5.6047 | 20188 | 0.2658 |
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+ | 0.2296 | 5.8048 | 20909 | 0.2536 |
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+ | 0.2294 | 6.0050 | 21630 | 0.2581 |
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+ | 0.2104 | 6.2052 | 22351 | 0.2542 |
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+ | 0.2103 | 6.4053 | 23072 | 0.2537 |
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+ | 0.2086 | 6.6055 | 23793 | 0.2543 |
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+ | 0.2102 | 6.8057 | 24514 | 0.2465 |
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+ | 0.209 | 7.0058 | 25235 | 0.2483 |
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+ | 0.1947 | 7.2060 | 25956 | 0.2485 |
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+ | 0.1927 | 7.4062 | 26677 | 0.2418 |
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+ | 0.191 | 7.6063 | 27398 | 0.2384 |
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+ | 0.1894 | 7.8065 | 28119 | 0.2394 |
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+ | 0.1902 | 8.0067 | 28840 | 0.2380 |
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+ | 0.1689 | 8.2068 | 29561 | 0.2367 |
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+ | 0.1723 | 8.4070 | 30282 | 0.2346 |
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+ | 0.1712 | 8.6072 | 31003 | 0.2330 |
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+ | 0.1715 | 8.8073 | 31724 | 0.2308 |
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+ | 0.1693 | 9.0075 | 32445 | 0.2356 |
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+ | 0.1489 | 9.2077 | 33166 | 0.2351 |
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+ | 0.15 | 9.4078 | 33887 | 0.2284 |
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+ | 0.1519 | 9.6080 | 34608 | 0.2274 |
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+ | 0.153 | 9.8082 | 35329 | 0.2283 |
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+ | 0.1511 | 10.0083 | 36050 | 0.2318 |
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+ | 0.1321 | 10.2085 | 36771 | 0.2320 |
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+ | 0.1316 | 10.4087 | 37492 | 0.2287 |
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+ | 0.1317 | 10.6088 | 38213 | 0.2290 |
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+ | 0.1337 | 10.8090 | 38934 | 0.2251 |
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+ | 0.1318 | 11.0092 | 39655 | 0.2285 |
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+ | 0.1206 | 11.2093 | 40376 | 0.2307 |
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+ | 0.1173 | 11.4095 | 41097 | 0.2312 |
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+ | 0.1187 | 11.6097 | 41818 | 0.2321 |
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+ | 0.1182 | 11.8098 | 42539 | 0.2309 |
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  ### Framework versions
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