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End of training

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  1. README.md +60 -60
  2. adapter_model.safetensors +2 -2
  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: 0.2436
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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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- | 0.6234 | 0.2002 | 721 | 0.4560 |
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- | 0.4715 | 0.4003 | 1442 | 0.4156 |
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- | 0.4128 | 0.6005 | 2163 | 0.3940 |
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- | 0.4006 | 0.8007 | 2884 | 0.3762 |
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- | 0.3801 | 1.0008 | 3605 | 0.3659 |
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- | 0.3524 | 1.2010 | 4326 | 0.3581 |
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- | 0.3464 | 1.4012 | 5047 | 0.3553 |
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- | 0.3381 | 1.6013 | 5768 | 0.3448 |
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- | 0.3394 | 1.8015 | 6489 | 0.3364 |
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- | 0.3344 | 2.0017 | 7210 | 0.3235 |
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- | 0.3158 | 2.2018 | 7931 | 0.3265 |
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- | 0.3101 | 2.4020 | 8652 | 0.3250 |
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- | 0.3068 | 2.6022 | 9373 | 0.3124 |
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- | 0.3043 | 2.8023 | 10094 | 0.3124 |
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- | 0.3069 | 3.0025 | 10815 | 0.3118 |
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- | 0.281 | 3.2027 | 11536 | 0.3095 |
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- | 0.2813 | 3.4028 | 12257 | 0.3043 |
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- | 0.2782 | 3.6030 | 12978 | 0.2970 |
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- | 0.2806 | 3.8032 | 13699 | 0.2969 |
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- | 0.2779 | 4.0033 | 14420 | 0.3016 |
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- | 0.2563 | 4.2035 | 15141 | 0.2922 |
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- | 0.2569 | 4.4037 | 15862 | 0.2853 |
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- | 0.2574 | 4.6038 | 16583 | 0.2868 |
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- | 0.2571 | 4.8040 | 17304 | 0.2862 |
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- | 0.2587 | 5.0042 | 18025 | 0.2851 |
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- | 0.2332 | 5.2043 | 18746 | 0.2777 |
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- | 0.235 | 5.4045 | 19467 | 0.2706 |
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- | 0.2341 | 5.6047 | 20188 | 0.2777 |
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- | 0.2369 | 5.8048 | 20909 | 0.2760 |
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- | 0.2376 | 6.0050 | 21630 | 0.2682 |
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- | 0.2166 | 6.2052 | 22351 | 0.2712 |
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- | 0.2159 | 6.4053 | 23072 | 0.2671 |
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- | 0.216 | 6.6055 | 23793 | 0.2641 |
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- | 0.2168 | 6.8057 | 24514 | 0.2650 |
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- | 0.2152 | 7.0058 | 25235 | 0.2621 |
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- | 0.2006 | 7.2060 | 25956 | 0.2604 |
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- | 0.1981 | 7.4062 | 26677 | 0.2534 |
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- | 0.1975 | 7.6063 | 27398 | 0.2504 |
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- | 0.196 | 7.8065 | 28119 | 0.2552 |
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- | 0.195 | 8.0067 | 28840 | 0.2576 |
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- | 0.1744 | 8.2068 | 29561 | 0.2524 |
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- | 0.1769 | 8.4070 | 30282 | 0.2472 |
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- | 0.1763 | 8.6072 | 31003 | 0.2470 |
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- | 0.1761 | 8.8073 | 31724 | 0.2454 |
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- | 0.1749 | 9.0075 | 32445 | 0.2493 |
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- | 0.1534 | 9.2077 | 33166 | 0.2450 |
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- | 0.1552 | 9.4078 | 33887 | 0.2438 |
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- | 0.1557 | 9.6080 | 34608 | 0.2457 |
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- | 0.1576 | 9.8082 | 35329 | 0.2439 |
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- | 0.1555 | 10.0083 | 36050 | 0.2442 |
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- | 0.1361 | 10.2085 | 36771 | 0.2490 |
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- | 0.1355 | 10.4087 | 37492 | 0.2447 |
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- | 0.1382 | 10.6088 | 38213 | 0.2399 |
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- | 0.1379 | 10.8090 | 38934 | 0.2413 |
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- | 0.1361 | 11.0092 | 39655 | 0.2444 |
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- | 0.1242 | 11.2093 | 40376 | 0.2459 |
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- | 0.1206 | 11.4095 | 41097 | 0.2451 |
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- | 0.1225 | 11.6097 | 41818 | 0.2465 |
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- | 0.122 | 11.8098 | 42539 | 0.2436 |
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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: 0.2352
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:-----:|:---------------:|
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+ | 0.588 | 0.2002 | 721 | 0.4356 |
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+ | 0.4481 | 0.4003 | 1442 | 0.4067 |
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+ | 0.397 | 0.6005 | 2163 | 0.3795 |
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+ | 0.3841 | 0.8007 | 2884 | 0.3673 |
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+ | 0.3666 | 1.0008 | 3605 | 0.3445 |
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+ | 0.3409 | 1.2010 | 4326 | 0.3416 |
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+ | 0.3347 | 1.4012 | 5047 | 0.3323 |
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+ | 0.3285 | 1.6013 | 5768 | 0.3313 |
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+ | 0.3288 | 1.8015 | 6489 | 0.3217 |
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+ | 0.3232 | 2.0017 | 7210 | 0.3111 |
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+ | 0.3048 | 2.2018 | 7931 | 0.3151 |
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+ | 0.3004 | 2.4020 | 8652 | 0.3155 |
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+ | 0.2994 | 2.6022 | 9373 | 0.3052 |
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+ | 0.2939 | 2.8023 | 10094 | 0.3023 |
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+ | 0.2948 | 3.0025 | 10815 | 0.3001 |
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+ | 0.2702 | 3.2027 | 11536 | 0.2995 |
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+ | 0.2707 | 3.4028 | 12257 | 0.2913 |
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+ | 0.2696 | 3.6030 | 12978 | 0.2870 |
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+ | 0.2729 | 3.8032 | 13699 | 0.2859 |
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+ | 0.2697 | 4.0033 | 14420 | 0.2853 |
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+ | 0.2497 | 4.2035 | 15141 | 0.2815 |
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+ | 0.2497 | 4.4037 | 15862 | 0.2768 |
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+ | 0.2503 | 4.6038 | 16583 | 0.2748 |
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+ | 0.2505 | 4.8040 | 17304 | 0.2728 |
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+ | 0.2491 | 5.0042 | 18025 | 0.2706 |
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+ | 0.2254 | 5.2043 | 18746 | 0.2711 |
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+ | 0.2274 | 5.4045 | 19467 | 0.2669 |
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+ | 0.2283 | 5.6047 | 20188 | 0.2661 |
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+ | 0.2294 | 5.8048 | 20909 | 0.2616 |
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+ | 0.2304 | 6.0050 | 21630 | 0.2598 |
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+ | 0.2099 | 6.2052 | 22351 | 0.2619 |
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+ | 0.2101 | 6.4053 | 23072 | 0.2603 |
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+ | 0.2098 | 6.6055 | 23793 | 0.2579 |
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+ | 0.2105 | 6.8057 | 24514 | 0.2530 |
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+ | 0.2085 | 7.0058 | 25235 | 0.2564 |
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+ | 0.1949 | 7.2060 | 25956 | 0.2512 |
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+ | 0.1914 | 7.4062 | 26677 | 0.2459 |
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+ | 0.1901 | 7.6063 | 27398 | 0.2432 |
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+ | 0.1892 | 7.8065 | 28119 | 0.2481 |
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+ | 0.1893 | 8.0067 | 28840 | 0.2445 |
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+ | 0.1676 | 8.2068 | 29561 | 0.2409 |
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+ | 0.1706 | 8.4070 | 30282 | 0.2376 |
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+ | 0.1713 | 8.6072 | 31003 | 0.2342 |
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+ | 0.1711 | 8.8073 | 31724 | 0.2323 |
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+ | 0.1691 | 9.0075 | 32445 | 0.2403 |
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+ | 0.1485 | 9.2077 | 33166 | 0.2380 |
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+ | 0.1483 | 9.4078 | 33887 | 0.2373 |
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+ | 0.152 | 9.6080 | 34608 | 0.2343 |
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+ | 0.1523 | 9.8082 | 35329 | 0.2318 |
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+ | 0.1505 | 10.0083 | 36050 | 0.2356 |
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+ | 0.1311 | 10.2085 | 36771 | 0.2393 |
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+ | 0.1316 | 10.4087 | 37492 | 0.2324 |
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+ | 0.1324 | 10.6088 | 38213 | 0.2310 |
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+ | 0.1334 | 10.8090 | 38934 | 0.2324 |
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+ | 0.1305 | 11.0092 | 39655 | 0.2367 |
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+ | 0.1194 | 11.2093 | 40376 | 0.2374 |
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+ | 0.1164 | 11.4095 | 41097 | 0.2376 |
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+ | 0.1181 | 11.6097 | 41818 | 0.2369 |
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+ | 0.117 | 11.8098 | 42539 | 0.2352 |
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  ### Framework versions
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