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final_llama

PEFT
Safetensors
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  1. README.md +101 -101
  2. adapter_model.safetensors +2 -2
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 [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0122
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  ## Model description
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@@ -47,106 +47,106 @@ 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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- | 2.663 | 1.0 | 1 | 2.6473 |
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- | 2.663 | 2.0 | 2 | 2.6284 |
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- | 2.663 | 3.0 | 3 | 2.6095 |
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- | 2.663 | 4.0 | 4 | 2.5898 |
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- | 2.663 | 5.0 | 5 | 2.5701 |
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- | 2.663 | 6.0 | 6 | 2.5508 |
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- | 2.663 | 7.0 | 7 | 2.5316 |
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- | 2.663 | 8.0 | 8 | 2.5124 |
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- | 2.663 | 9.0 | 9 | 2.4934 |
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- | 2.663 | 10.0 | 10 | 2.4744 |
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- | 2.663 | 11.0 | 11 | 2.4557 |
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- | 2.663 | 12.0 | 12 | 2.4364 |
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- | 2.663 | 13.0 | 13 | 2.4178 |
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- | 2.663 | 14.0 | 14 | 2.3992 |
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- | 2.663 | 15.0 | 15 | 2.3805 |
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- | 2.663 | 16.0 | 16 | 2.3617 |
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- | 2.663 | 17.0 | 17 | 2.3427 |
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- | 2.663 | 18.0 | 18 | 2.3242 |
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- | 2.663 | 19.0 | 19 | 2.3051 |
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- | 2.663 | 20.0 | 20 | 2.2862 |
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- | 2.663 | 21.0 | 21 | 2.2672 |
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- | 2.663 | 22.0 | 22 | 2.2477 |
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- | 2.663 | 23.0 | 23 | 2.2290 |
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- | 2.663 | 24.0 | 24 | 2.2094 |
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- | 2.663 | 25.0 | 25 | 2.1900 |
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- | 2.663 | 26.0 | 26 | 2.1703 |
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- | 2.663 | 27.0 | 27 | 2.1507 |
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- | 2.663 | 28.0 | 28 | 2.1307 |
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- | 2.663 | 29.0 | 29 | 2.1109 |
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- | 2.663 | 30.0 | 30 | 2.0904 |
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- | 2.663 | 31.0 | 31 | 2.0707 |
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- | 2.663 | 32.0 | 32 | 2.0505 |
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- | 2.663 | 33.0 | 33 | 2.0301 |
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- | 2.663 | 34.0 | 34 | 2.0093 |
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- | 2.663 | 35.0 | 35 | 1.9888 |
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- | 2.663 | 36.0 | 36 | 1.9680 |
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- | 2.663 | 37.0 | 37 | 1.9474 |
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- | 2.663 | 38.0 | 38 | 1.9263 |
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- | 2.663 | 39.0 | 39 | 1.9056 |
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- | 2.663 | 40.0 | 40 | 1.8845 |
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- | 2.663 | 41.0 | 41 | 1.8634 |
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- | 2.663 | 42.0 | 42 | 1.8422 |
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- | 2.663 | 43.0 | 43 | 1.8211 |
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- | 2.663 | 44.0 | 44 | 1.7998 |
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- | 2.663 | 45.0 | 45 | 1.7781 |
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- | 2.663 | 46.0 | 46 | 1.7571 |
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- | 2.663 | 47.0 | 47 | 1.7359 |
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- | 2.663 | 48.0 | 48 | 1.7143 |
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- | 2.663 | 49.0 | 49 | 1.6924 |
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- | 2.663 | 50.0 | 50 | 1.6712 |
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- | 2.663 | 51.0 | 51 | 1.6498 |
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- | 2.663 | 52.0 | 52 | 1.6280 |
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- | 2.663 | 53.0 | 53 | 1.6064 |
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- | 2.663 | 54.0 | 54 | 1.5849 |
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- | 2.663 | 55.0 | 55 | 1.5633 |
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- | 2.663 | 56.0 | 56 | 1.5415 |
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- | 2.663 | 57.0 | 57 | 1.5203 |
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- | 2.663 | 58.0 | 58 | 1.4995 |
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- | 2.663 | 59.0 | 59 | 1.4784 |
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- | 2.663 | 60.0 | 60 | 1.4582 |
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- | 2.663 | 61.0 | 61 | 1.4383 |
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- | 2.663 | 62.0 | 62 | 1.4182 |
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- | 2.663 | 63.0 | 63 | 1.3990 |
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- | 2.663 | 64.0 | 64 | 1.3797 |
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- | 2.663 | 65.0 | 65 | 1.3604 |
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- | 2.663 | 66.0 | 66 | 1.3420 |
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- | 2.663 | 67.0 | 67 | 1.3234 |
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- | 2.663 | 68.0 | 68 | 1.3057 |
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- | 2.663 | 69.0 | 69 | 1.2877 |
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- | 2.663 | 70.0 | 70 | 1.2709 |
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- | 2.663 | 71.0 | 71 | 1.2545 |
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- | 2.663 | 72.0 | 72 | 1.2383 |
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- | 2.663 | 73.0 | 73 | 1.2223 |
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- | 2.663 | 74.0 | 74 | 1.2075 |
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- | 2.663 | 75.0 | 75 | 1.1930 |
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- | 2.663 | 76.0 | 76 | 1.1782 |
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- | 2.663 | 77.0 | 77 | 1.1645 |
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- | 2.663 | 78.0 | 78 | 1.1511 |
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- | 2.663 | 79.0 | 79 | 1.1386 |
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- | 2.663 | 80.0 | 80 | 1.1269 |
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- | 2.663 | 81.0 | 81 | 1.1160 |
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- | 2.663 | 82.0 | 82 | 1.1056 |
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- | 2.663 | 83.0 | 83 | 1.0966 |
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- | 2.663 | 84.0 | 84 | 1.0882 |
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- | 2.663 | 85.0 | 85 | 1.0798 |
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- | 2.663 | 86.0 | 86 | 1.0715 |
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- | 2.663 | 87.0 | 87 | 1.0632 |
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- | 2.663 | 88.0 | 88 | 1.0557 |
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- | 2.663 | 89.0 | 89 | 1.0486 |
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- | 2.663 | 90.0 | 90 | 1.0418 |
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- | 2.663 | 91.0 | 91 | 1.0366 |
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- | 2.663 | 92.0 | 92 | 1.0314 |
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- | 2.663 | 93.0 | 93 | 1.0269 |
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- | 2.663 | 94.0 | 94 | 1.0230 |
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- | 2.663 | 95.0 | 95 | 1.0201 |
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- | 2.663 | 96.0 | 96 | 1.0176 |
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- | 2.663 | 97.0 | 97 | 1.0154 |
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- | 2.663 | 98.0 | 98 | 1.0138 |
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- | 2.663 | 99.0 | 99 | 1.0125 |
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- | 1.7168 | 100.0 | 100 | 1.0122 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0641
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.767 | 1.0 | 1 | 2.7479 |
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+ | 2.767 | 2.0 | 2 | 2.7247 |
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+ | 2.767 | 3.0 | 3 | 2.7010 |
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+ | 2.767 | 4.0 | 4 | 2.6766 |
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+ | 2.767 | 5.0 | 5 | 2.6526 |
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+ | 2.767 | 6.0 | 6 | 2.6286 |
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+ | 2.767 | 7.0 | 7 | 2.6044 |
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+ | 2.767 | 8.0 | 8 | 2.5795 |
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+ | 2.767 | 9.0 | 9 | 2.5543 |
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+ | 2.767 | 10.0 | 10 | 2.5293 |
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+ | 2.767 | 11.0 | 11 | 2.5038 |
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+ | 2.767 | 12.0 | 12 | 2.4779 |
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+ | 2.767 | 13.0 | 13 | 2.4519 |
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+ | 2.767 | 14.0 | 14 | 2.4254 |
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+ | 2.767 | 15.0 | 15 | 2.3991 |
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+ | 2.767 | 16.0 | 16 | 2.3726 |
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+ | 2.767 | 17.0 | 17 | 2.3458 |
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+ | 2.767 | 18.0 | 18 | 2.3199 |
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+ | 2.767 | 19.0 | 19 | 2.2934 |
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+ | 2.767 | 20.0 | 20 | 2.2677 |
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+ | 2.767 | 21.0 | 21 | 2.2425 |
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+ | 2.767 | 22.0 | 22 | 2.2178 |
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+ | 2.767 | 23.0 | 23 | 2.1940 |
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+ | 2.767 | 24.0 | 24 | 2.1701 |
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+ | 2.767 | 25.0 | 25 | 2.1468 |
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+ | 2.767 | 26.0 | 26 | 2.1236 |
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+ | 2.767 | 27.0 | 27 | 2.1001 |
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+ | 2.767 | 28.0 | 28 | 2.0772 |
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+ | 2.767 | 29.0 | 29 | 2.0543 |
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+ | 2.767 | 30.0 | 30 | 2.0314 |
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+ | 2.767 | 31.0 | 31 | 2.0088 |
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+ | 2.767 | 32.0 | 32 | 1.9860 |
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+ | 2.767 | 33.0 | 33 | 1.9644 |
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+ | 2.767 | 34.0 | 34 | 1.9425 |
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+ | 2.767 | 35.0 | 35 | 1.9207 |
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+ | 2.767 | 36.0 | 36 | 1.8995 |
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+ | 2.767 | 37.0 | 37 | 1.8785 |
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+ | 2.767 | 38.0 | 38 | 1.8575 |
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+ | 2.767 | 39.0 | 39 | 1.8370 |
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+ | 2.767 | 40.0 | 40 | 1.8163 |
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+ | 2.767 | 41.0 | 41 | 1.7959 |
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+ | 2.767 | 42.0 | 42 | 1.7752 |
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+ | 2.767 | 43.0 | 43 | 1.7550 |
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+ | 2.767 | 44.0 | 44 | 1.7349 |
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+ | 2.767 | 45.0 | 45 | 1.7146 |
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+ | 2.767 | 46.0 | 46 | 1.6944 |
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+ | 2.767 | 47.0 | 47 | 1.6746 |
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+ | 2.767 | 48.0 | 48 | 1.6544 |
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+ | 2.767 | 49.0 | 49 | 1.6346 |
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+ | 2.767 | 50.0 | 50 | 1.6150 |
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+ | 2.767 | 51.0 | 51 | 1.5955 |
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+ | 2.767 | 52.0 | 52 | 1.5760 |
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+ | 2.767 | 53.0 | 53 | 1.5566 |
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+ | 2.767 | 54.0 | 54 | 1.5377 |
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+ | 2.767 | 55.0 | 55 | 1.5191 |
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+ | 2.767 | 56.0 | 56 | 1.5005 |
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+ | 2.767 | 57.0 | 57 | 1.4819 |
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+ | 2.767 | 58.0 | 58 | 1.4646 |
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+ | 2.767 | 59.0 | 59 | 1.4469 |
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+ | 2.767 | 60.0 | 60 | 1.4297 |
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+ | 2.767 | 61.0 | 61 | 1.4130 |
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+ | 2.767 | 62.0 | 62 | 1.3963 |
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+ | 2.767 | 63.0 | 63 | 1.3803 |
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+ | 2.767 | 64.0 | 64 | 1.3645 |
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+ | 2.767 | 65.0 | 65 | 1.3488 |
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+ | 2.767 | 66.0 | 66 | 1.3336 |
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+ | 2.767 | 67.0 | 67 | 1.3183 |
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+ | 2.767 | 68.0 | 68 | 1.3041 |
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+ | 2.767 | 69.0 | 69 | 1.2896 |
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+ | 2.767 | 70.0 | 70 | 1.2756 |
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+ | 2.767 | 71.0 | 71 | 1.2623 |
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+ | 2.767 | 72.0 | 72 | 1.2494 |
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+ | 2.767 | 73.0 | 73 | 1.2368 |
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+ | 2.767 | 74.0 | 74 | 1.2244 |
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+ | 2.767 | 75.0 | 75 | 1.2128 |
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+ | 2.767 | 76.0 | 76 | 1.2019 |
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+ | 2.767 | 77.0 | 77 | 1.1909 |
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+ | 2.767 | 78.0 | 78 | 1.1804 |
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+ | 2.767 | 79.0 | 79 | 1.1706 |
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+ | 2.767 | 80.0 | 80 | 1.1607 |
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+ | 2.767 | 81.0 | 81 | 1.1516 |
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+ | 2.767 | 82.0 | 82 | 1.1430 |
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+ | 2.767 | 83.0 | 83 | 1.1347 |
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+ | 2.767 | 84.0 | 84 | 1.1268 |
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+ | 2.767 | 85.0 | 85 | 1.1196 |
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+ | 2.767 | 86.0 | 86 | 1.1125 |
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+ | 2.767 | 87.0 | 87 | 1.1058 |
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+ | 2.767 | 88.0 | 88 | 1.0998 |
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+ | 2.767 | 89.0 | 89 | 1.0939 |
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+ | 2.767 | 90.0 | 90 | 1.0889 |
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+ | 2.767 | 91.0 | 91 | 1.0843 |
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+ | 2.767 | 92.0 | 92 | 1.0799 |
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+ | 2.767 | 93.0 | 93 | 1.0766 |
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+ | 2.767 | 94.0 | 94 | 1.0734 |
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+ | 2.767 | 95.0 | 95 | 1.0707 |
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+ | 2.767 | 96.0 | 96 | 1.0682 |
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+ | 2.767 | 97.0 | 97 | 1.0669 |
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+ | 2.767 | 98.0 | 98 | 1.0655 |
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+ | 2.767 | 99.0 | 99 | 1.0646 |
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+ | 1.7143 | 100.0 | 100 | 1.0641 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- size 18906384
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:0df8caabcdc0d27c16ea69b3af109af46b3906ab37888af99847ae1268dac724
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