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yalhessi
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lemexp-task1-v2-lemma_object_small_nodefs-deepseek-coder-1.3b-base-ddp-8lr-v2

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  1. README.md +60 -60
  2. adapter_config.json +2 -2
  3. adapter_model.safetensors +1 -1
  4. loss_plot.png +0 -0
  5. 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: 0.2373
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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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- | 0.6444 | 0.2002 | 721 | 0.4798 |
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- | 0.4987 | 0.4003 | 1442 | 0.4339 |
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- | 0.4324 | 0.6005 | 2163 | 0.4100 |
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- | 0.4155 | 0.8007 | 2884 | 0.3960 |
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- | 0.3968 | 1.0008 | 3605 | 0.3739 |
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- | 0.3645 | 1.2010 | 4326 | 0.3639 |
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- | 0.3602 | 1.4012 | 5047 | 0.3606 |
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- | 0.3492 | 1.6013 | 5768 | 0.3542 |
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- | 0.35 | 1.8015 | 6489 | 0.3530 |
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- | 0.3443 | 2.0017 | 7210 | 0.3420 |
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- | 0.3249 | 2.2018 | 7931 | 0.3301 |
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- | 0.3189 | 2.4020 | 8652 | 0.3317 |
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- | 0.3161 | 2.6022 | 9373 | 0.3218 |
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- | 0.3131 | 2.8023 | 10094 | 0.3158 |
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- | 0.3138 | 3.0025 | 10815 | 0.3144 |
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- | 0.2886 | 3.2027 | 11536 | 0.3112 |
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- | 0.287 | 3.4028 | 12257 | 0.3085 |
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- | 0.2864 | 3.6030 | 12978 | 0.3042 |
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- | 0.2884 | 3.8032 | 13699 | 0.3027 |
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- | 0.2845 | 4.0033 | 14420 | 0.2965 |
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- | 0.263 | 4.2035 | 15141 | 0.3005 |
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- | 0.264 | 4.4037 | 15862 | 0.2947 |
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- | 0.2635 | 4.6038 | 16583 | 0.2897 |
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- | 0.2632 | 4.8040 | 17304 | 0.2893 |
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- | 0.2634 | 5.0042 | 18025 | 0.2822 |
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- | 0.2368 | 5.2043 | 18746 | 0.2793 |
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- | 0.2398 | 5.4045 | 19467 | 0.2769 |
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- | 0.2407 | 5.6047 | 20188 | 0.2768 |
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- | 0.2407 | 5.8048 | 20909 | 0.2750 |
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- | 0.2436 | 6.0050 | 21630 | 0.2741 |
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- | 0.2219 | 6.2052 | 22351 | 0.2738 |
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- | 0.2214 | 6.4053 | 23072 | 0.2717 |
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- | 0.2203 | 6.6055 | 23793 | 0.2673 |
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- | 0.2219 | 6.8057 | 24514 | 0.2632 |
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- | 0.2199 | 7.0058 | 25235 | 0.2589 |
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- | 0.206 | 7.2060 | 25956 | 0.2633 |
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- | 0.2011 | 7.4062 | 26677 | 0.2573 |
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- | 0.1998 | 7.6063 | 27398 | 0.2537 |
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- | 0.2006 | 7.8065 | 28119 | 0.2566 |
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- | 0.1998 | 8.0067 | 28840 | 0.2525 |
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- | 0.1772 | 8.2068 | 29561 | 0.2509 |
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- | 0.181 | 8.4070 | 30282 | 0.2532 |
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- | 0.1808 | 8.6072 | 31003 | 0.2462 |
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- | 0.1801 | 8.8073 | 31724 | 0.2481 |
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- | 0.1794 | 9.0075 | 32445 | 0.2442 |
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- | 0.1568 | 9.2077 | 33166 | 0.2456 |
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- | 0.1575 | 9.4078 | 33887 | 0.2464 |
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- | 0.1599 | 9.6080 | 34608 | 0.2442 |
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- | 0.1619 | 9.8082 | 35329 | 0.2387 |
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- | 0.1589 | 10.0083 | 36050 | 0.2361 |
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- | 0.1407 | 10.2085 | 36771 | 0.2423 |
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- | 0.1387 | 10.4087 | 37492 | 0.2410 |
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- | 0.1407 | 10.6088 | 38213 | 0.2356 |
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- | 0.1413 | 10.8090 | 38934 | 0.2370 |
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- | 0.1384 | 11.0092 | 39655 | 0.2396 |
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- | 0.1267 | 11.2093 | 40376 | 0.2388 |
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- | 0.1238 | 11.4095 | 41097 | 0.2397 |
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- | 0.1259 | 11.6097 | 41818 | 0.2361 |
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- | 0.1249 | 11.8098 | 42539 | 0.2373 |
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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: 0.2645
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:-----:|:---------------:|
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+ | 0.6349 | 0.2001 | 720 | 0.5111 |
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+ | 0.5017 | 0.4001 | 1440 | 0.4620 |
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+ | 0.4349 | 0.6002 | 2160 | 0.4331 |
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+ | 0.417 | 0.8002 | 2880 | 0.4095 |
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+ | 0.3957 | 1.0003 | 3600 | 0.4012 |
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+ | 0.3607 | 1.2003 | 4320 | 0.3890 |
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+ | 0.3585 | 1.4004 | 5040 | 0.3751 |
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+ | 0.3561 | 1.6004 | 5760 | 0.3749 |
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+ | 0.3505 | 1.8005 | 6480 | 0.3672 |
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+ | 0.3438 | 2.0006 | 7200 | 0.3510 |
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+ | 0.323 | 2.2006 | 7920 | 0.3524 |
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+ | 0.3172 | 2.4007 | 8640 | 0.3435 |
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+ | 0.3133 | 2.6007 | 9360 | 0.3368 |
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+ | 0.3125 | 2.8008 | 10080 | 0.3331 |
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+ | 0.312 | 3.0008 | 10800 | 0.3309 |
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+ | 0.2852 | 3.2009 | 11520 | 0.3303 |
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+ | 0.2916 | 3.4009 | 12240 | 0.3187 |
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+ | 0.2876 | 3.6010 | 12960 | 0.3235 |
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+ | 0.2868 | 3.8011 | 13680 | 0.3209 |
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+ | 0.287 | 4.0011 | 14400 | 0.3150 |
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+ | 0.2582 | 4.2012 | 15120 | 0.3147 |
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+ | 0.2678 | 4.4012 | 15840 | 0.3117 |
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+ | 0.2625 | 4.6013 | 16560 | 0.3082 |
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+ | 0.2683 | 4.8013 | 17280 | 0.3010 |
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+ | 0.2597 | 5.0014 | 18000 | 0.3030 |
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+ | 0.2402 | 5.2014 | 18720 | 0.3017 |
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+ | 0.2405 | 5.4015 | 19440 | 0.2975 |
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+ | 0.2441 | 5.6016 | 20160 | 0.2950 |
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+ | 0.2443 | 5.8016 | 20880 | 0.2945 |
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+ | 0.2383 | 6.0017 | 21600 | 0.2912 |
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+ | 0.2208 | 6.2017 | 22320 | 0.2862 |
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+ | 0.2233 | 6.4018 | 23040 | 0.2856 |
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+ | 0.2222 | 6.6018 | 23760 | 0.2818 |
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+ | 0.2208 | 6.8019 | 24480 | 0.2808 |
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+ | 0.2214 | 7.0019 | 25200 | 0.2786 |
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+ | 0.2039 | 7.2020 | 25920 | 0.2844 |
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+ | 0.1996 | 7.4021 | 26640 | 0.2802 |
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+ | 0.1996 | 7.6021 | 27360 | 0.2814 |
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+ | 0.2003 | 7.8022 | 28080 | 0.2721 |
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+ | 0.2047 | 8.0022 | 28800 | 0.2717 |
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+ | 0.1801 | 8.2023 | 29520 | 0.2722 |
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+ | 0.1771 | 8.4023 | 30240 | 0.2736 |
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+ | 0.1814 | 8.6024 | 30960 | 0.2716 |
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+ | 0.1781 | 8.8024 | 31680 | 0.2663 |
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+ | 0.1812 | 9.0025 | 32400 | 0.2668 |
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+ | 0.1584 | 9.2026 | 33120 | 0.2684 |
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+ | 0.1578 | 9.4026 | 33840 | 0.2635 |
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+ | 0.1627 | 9.6027 | 34560 | 0.2666 |
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+ | 0.1612 | 9.8027 | 35280 | 0.2601 |
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+ | 0.1576 | 10.0028 | 36000 | 0.2623 |
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+ | 0.14 | 10.2028 | 36720 | 0.2660 |
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+ | 0.1403 | 10.4029 | 37440 | 0.2619 |
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+ | 0.1407 | 10.6029 | 38160 | 0.2592 |
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+ | 0.1399 | 10.8030 | 38880 | 0.2594 |
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+ | 0.1424 | 11.0031 | 39600 | 0.2599 |
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+ | 0.1275 | 11.2031 | 40320 | 0.2703 |
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+ | 0.1253 | 11.4032 | 41040 | 0.2662 |
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+ | 0.1242 | 11.6032 | 41760 | 0.2641 |
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+ | 0.1234 | 11.8033 | 42480 | 0.2645 |
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  ### Framework versions
adapter_config.json CHANGED
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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- "v_proj",
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- "q_proj"
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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+ "q_proj",
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+ "v_proj"
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
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loss_plot.png CHANGED
training_args.bin CHANGED
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