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

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Safetensors
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  1. README.md +60 -60
  2. adapter_config.json +2 -2
  3. adapter_model.safetensors +2 -2
  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: 0.2508
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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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- | 0.6471 | 0.2002 | 721 | 0.4865 |
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- | 0.5014 | 0.4003 | 1442 | 0.4343 |
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- | 0.442 | 0.6005 | 2163 | 0.4127 |
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- | 0.427 | 0.8007 | 2884 | 0.3947 |
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- | 0.406 | 1.0008 | 3605 | 0.3751 |
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- | 0.3713 | 1.2010 | 4326 | 0.3689 |
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- | 0.3679 | 1.4012 | 5047 | 0.3585 |
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- | 0.3596 | 1.6013 | 5768 | 0.3556 |
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- | 0.3586 | 1.8015 | 6489 | 0.3553 |
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- | 0.3513 | 2.0017 | 7210 | 0.3445 |
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- | 0.332 | 2.2018 | 7931 | 0.3432 |
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- | 0.3266 | 2.4020 | 8652 | 0.3392 |
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- | 0.326 | 2.6022 | 9373 | 0.3328 |
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- | 0.3196 | 2.8023 | 10094 | 0.3276 |
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- | 0.3226 | 3.0025 | 10815 | 0.3226 |
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- | 0.2945 | 3.2027 | 11536 | 0.3210 |
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- | 0.2939 | 3.4028 | 12257 | 0.3178 |
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- | 0.2931 | 3.6030 | 12978 | 0.3157 |
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- | 0.2965 | 3.8032 | 13699 | 0.3043 |
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- | 0.292 | 4.0033 | 14420 | 0.3128 |
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- | 0.2703 | 4.2035 | 15141 | 0.3058 |
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- | 0.2704 | 4.4037 | 15862 | 0.3013 |
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- | 0.2701 | 4.6038 | 16583 | 0.3014 |
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- | 0.272 | 4.8040 | 17304 | 0.2938 |
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- | 0.2715 | 5.0042 | 18025 | 0.2866 |
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- | 0.2444 | 5.2043 | 18746 | 0.2934 |
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- | 0.2474 | 5.4045 | 19467 | 0.2848 |
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- | 0.2459 | 5.6047 | 20188 | 0.2788 |
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- | 0.2484 | 5.8048 | 20909 | 0.2861 |
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- | 0.2495 | 6.0050 | 21630 | 0.2824 |
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- | 0.2269 | 6.2052 | 22351 | 0.2812 |
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- | 0.2273 | 6.4053 | 23072 | 0.2790 |
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- | 0.2267 | 6.6055 | 23793 | 0.2737 |
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- | 0.2283 | 6.8057 | 24514 | 0.2710 |
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- | 0.2262 | 7.0058 | 25235 | 0.2686 |
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- | 0.2104 | 7.2060 | 25956 | 0.2611 |
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- | 0.2064 | 7.4062 | 26677 | 0.2661 |
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- | 0.206 | 7.6063 | 27398 | 0.2634 |
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- | 0.2052 | 7.8065 | 28119 | 0.2601 |
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- | 0.205 | 8.0067 | 28840 | 0.2575 |
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- | 0.181 | 8.2068 | 29561 | 0.2556 |
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- | 0.185 | 8.4070 | 30282 | 0.2589 |
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- | 0.1854 | 8.6072 | 31003 | 0.2536 |
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- | 0.185 | 8.8073 | 31724 | 0.2521 |
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- | 0.1839 | 9.0075 | 32445 | 0.2550 |
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- | 0.1617 | 9.2077 | 33166 | 0.2575 |
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- | 0.162 | 9.4078 | 33887 | 0.2488 |
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- | 0.1642 | 9.6080 | 34608 | 0.2491 |
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- | 0.165 | 9.8082 | 35329 | 0.2458 |
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- | 0.163 | 10.0083 | 36050 | 0.2512 |
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- | 0.1428 | 10.2085 | 36771 | 0.2540 |
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- | 0.1424 | 10.4087 | 37492 | 0.2527 |
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- | 0.1441 | 10.6088 | 38213 | 0.2518 |
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- | 0.1443 | 10.8090 | 38934 | 0.2485 |
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- | 0.1414 | 11.0092 | 39655 | 0.2502 |
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- | 0.1304 | 11.2093 | 40376 | 0.2534 |
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- | 0.1267 | 11.4095 | 41097 | 0.2534 |
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- | 0.1282 | 11.6097 | 41818 | 0.2528 |
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- | 0.127 | 11.8098 | 42539 | 0.2508 |
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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: 0.2406
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-------:|:-----:|:---------------:|
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+ | 0.5909 | 0.2002 | 721 | 0.4417 |
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+ | 0.4603 | 0.4003 | 1442 | 0.4181 |
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+ | 0.4078 | 0.6005 | 2163 | 0.3868 |
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+ | 0.3972 | 0.8007 | 2884 | 0.3737 |
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+ | 0.3792 | 1.0008 | 3605 | 0.3536 |
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+ | 0.3497 | 1.2010 | 4326 | 0.3495 |
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+ | 0.3435 | 1.4012 | 5047 | 0.3473 |
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+ | 0.3366 | 1.6013 | 5768 | 0.3409 |
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+ | 0.336 | 1.8015 | 6489 | 0.3333 |
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+ | 0.3326 | 2.0017 | 7210 | 0.3275 |
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+ | 0.3129 | 2.2018 | 7931 | 0.3272 |
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+ | 0.3091 | 2.4020 | 8652 | 0.3311 |
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+ | 0.3072 | 2.6022 | 9373 | 0.3099 |
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+ | 0.303 | 2.8023 | 10094 | 0.3078 |
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+ | 0.304 | 3.0025 | 10815 | 0.3098 |
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+ | 0.2778 | 3.2027 | 11536 | 0.3064 |
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+ | 0.2789 | 3.4028 | 12257 | 0.3035 |
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+ | 0.2785 | 3.6030 | 12978 | 0.2998 |
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+ | 0.2812 | 3.8032 | 13699 | 0.2869 |
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+ | 0.275 | 4.0033 | 14420 | 0.2856 |
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+ | 0.2553 | 4.2035 | 15141 | 0.2898 |
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+ | 0.2543 | 4.4037 | 15862 | 0.2794 |
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+ | 0.2565 | 4.6038 | 16583 | 0.2838 |
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+ | 0.2563 | 4.8040 | 17304 | 0.2789 |
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+ | 0.2568 | 5.0042 | 18025 | 0.2752 |
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+ | 0.2315 | 5.2043 | 18746 | 0.2733 |
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+ | 0.233 | 5.4045 | 19467 | 0.2713 |
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+ | 0.2346 | 5.6047 | 20188 | 0.2753 |
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+ | 0.2342 | 5.8048 | 20909 | 0.2681 |
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+ | 0.2356 | 6.0050 | 21630 | 0.2647 |
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+ | 0.216 | 6.2052 | 22351 | 0.2617 |
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+ | 0.2138 | 6.4053 | 23072 | 0.2634 |
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+ | 0.2143 | 6.6055 | 23793 | 0.2575 |
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+ | 0.2152 | 6.8057 | 24514 | 0.2530 |
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+ | 0.2139 | 7.0058 | 25235 | 0.2612 |
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+ | 0.2004 | 7.2060 | 25956 | 0.2551 |
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+ | 0.195 | 7.4062 | 26677 | 0.2511 |
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+ | 0.1956 | 7.6063 | 27398 | 0.2482 |
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+ | 0.1924 | 7.8065 | 28119 | 0.2524 |
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+ | 0.1936 | 8.0067 | 28840 | 0.2459 |
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+ | 0.1719 | 8.2068 | 29561 | 0.2452 |
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+ | 0.1748 | 8.4070 | 30282 | 0.2406 |
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+ | 0.1742 | 8.6072 | 31003 | 0.2434 |
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+ | 0.1756 | 8.8073 | 31724 | 0.2418 |
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+ | 0.1723 | 9.0075 | 32445 | 0.2474 |
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+ | 0.1516 | 9.2077 | 33166 | 0.2446 |
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+ | 0.1516 | 9.4078 | 33887 | 0.2427 |
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+ | 0.1547 | 9.6080 | 34608 | 0.2406 |
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+ | 0.1556 | 9.8082 | 35329 | 0.2378 |
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+ | 0.1541 | 10.0083 | 36050 | 0.2390 |
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+ | 0.1345 | 10.2085 | 36771 | 0.2438 |
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+ | 0.1336 | 10.4087 | 37492 | 0.2384 |
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+ | 0.1358 | 10.6088 | 38213 | 0.2375 |
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+ | 0.1363 | 10.8090 | 38934 | 0.2353 |
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+ | 0.1334 | 11.0092 | 39655 | 0.2384 |
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+ | 0.122 | 11.2093 | 40376 | 0.2441 |
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+ | 0.1184 | 11.4095 | 41097 | 0.2437 |
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+ | 0.1199 | 11.6097 | 41818 | 0.2432 |
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+ | 0.1189 | 11.8098 | 42539 | 0.2406 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -23,8 +23,8 @@
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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,
adapter_model.safetensors CHANGED
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loss_plot.png CHANGED
training_args.bin CHANGED
@@ -1,3 +1,3 @@
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