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Meta-Llama-3-8B_pct_ortho

PEFT
Safetensors
unsloth
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  1. README.md +51 -51
  2. adapter_model.safetensors +1 -1
README.md CHANGED
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  ---
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- base_model: unsloth/llama-3-8b-bnb-4bit
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  library_name: peft
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  license: llama3
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  tags:
@@ -15,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # Meta-Llama-3-8B_pct_ortho
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- This model is a fine-tuned version of [unsloth/llama-3-8b-bnb-4bit](https://huggingface.co/unsloth/llama-3-8b-bnb-4bit) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.2409
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  ## Model description
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@@ -51,54 +51,54 @@ 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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- | 2.3045 | 0.0206 | 8 | 2.2825 |
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- | 2.2746 | 0.0412 | 16 | 2.2479 |
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- | 2.2264 | 0.0618 | 24 | 2.2587 |
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- | 2.3001 | 0.0824 | 32 | 2.2813 |
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- | 2.3006 | 0.1030 | 40 | 2.2798 |
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- | 2.2719 | 0.1236 | 48 | 2.2780 |
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- | 2.2942 | 0.1442 | 56 | 2.2881 |
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- | 2.314 | 0.1648 | 64 | 2.2993 |
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- | 2.2747 | 0.1854 | 72 | 2.3101 |
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- | 2.3086 | 0.2060 | 80 | 2.3069 |
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- | 2.3318 | 0.2266 | 88 | 2.2899 |
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- | 2.3957 | 0.2472 | 96 | 2.3000 |
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- | 2.3704 | 0.2678 | 104 | 2.2998 |
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- | 2.3319 | 0.2884 | 112 | 2.3124 |
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- | 2.3908 | 0.3090 | 120 | 2.3099 |
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- | 2.3865 | 0.3296 | 128 | 2.3063 |
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- | 2.3306 | 0.3502 | 136 | 2.2947 |
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- | 2.326 | 0.3708 | 144 | 2.2973 |
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- | 2.3421 | 0.3914 | 152 | 2.2987 |
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- | 2.3277 | 0.4120 | 160 | 2.2820 |
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- | 2.3739 | 0.4326 | 168 | 2.2931 |
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- | 2.3157 | 0.4532 | 176 | 2.2898 |
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- | 2.3296 | 0.4738 | 184 | 2.2915 |
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- | 2.3274 | 0.4944 | 192 | 2.2818 |
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- | 2.3225 | 0.5150 | 200 | 2.2861 |
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- | 2.3181 | 0.5356 | 208 | 2.2817 |
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- | 2.3393 | 0.5562 | 216 | 2.2708 |
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- | 2.3276 | 0.5768 | 224 | 2.2763 |
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- | 2.3053 | 0.5974 | 232 | 2.2791 |
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- | 2.2739 | 0.6180 | 240 | 2.2721 |
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- | 2.311 | 0.6386 | 248 | 2.2749 |
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- | 2.3049 | 0.6592 | 256 | 2.2706 |
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- | 2.2615 | 0.6798 | 264 | 2.2703 |
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- | 2.312 | 0.7004 | 272 | 2.2633 |
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- | 2.3017 | 0.7210 | 280 | 2.2594 |
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- | 2.3066 | 0.7416 | 288 | 2.2572 |
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- | 2.2966 | 0.7621 | 296 | 2.2579 |
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- | 2.3375 | 0.7827 | 304 | 2.2461 |
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- | 2.2704 | 0.8033 | 312 | 2.2474 |
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- | 2.2512 | 0.8239 | 320 | 2.2496 |
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- | 2.2834 | 0.8445 | 328 | 2.2431 |
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- | 2.2962 | 0.8651 | 336 | 2.2452 |
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- | 2.3071 | 0.8857 | 344 | 2.2405 |
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- | 2.2739 | 0.9063 | 352 | 2.2401 |
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- | 2.2437 | 0.9269 | 360 | 2.2435 |
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- | 2.2634 | 0.9475 | 368 | 2.2417 |
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- | 2.3116 | 0.9681 | 376 | 2.2406 |
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- | 2.2995 | 0.9887 | 384 | 2.2409 |
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  ### Framework versions
 
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  ---
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+ base_model: unsloth/llama-3-8b
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  library_name: peft
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  license: llama3
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  tags:
 
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  # Meta-Llama-3-8B_pct_ortho
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+ This model is a fine-tuned version of [unsloth/llama-3-8b](https://huggingface.co/unsloth/llama-3-8b) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.2219
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 2.2594 | 0.0206 | 8 | 2.2433 |
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+ | 2.2616 | 0.0412 | 16 | 2.2377 |
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+ | 2.2041 | 0.0618 | 24 | 2.2343 |
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+ | 2.2802 | 0.0824 | 32 | 2.2533 |
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+ | 2.2832 | 0.1030 | 40 | 2.2618 |
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+ | 2.2484 | 0.1236 | 48 | 2.2566 |
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+ | 2.2735 | 0.1442 | 56 | 2.2577 |
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+ | 2.293 | 0.1648 | 64 | 2.2784 |
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+ | 2.2518 | 0.1854 | 72 | 2.2818 |
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+ | 2.2922 | 0.2060 | 80 | 2.2914 |
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+ | 2.3199 | 0.2266 | 88 | 2.2720 |
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+ | 2.3807 | 0.2472 | 96 | 2.2788 |
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+ | 2.3528 | 0.2678 | 104 | 2.2831 |
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+ | 2.3144 | 0.2884 | 112 | 2.2958 |
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+ | 2.3652 | 0.3090 | 120 | 2.2950 |
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+ | 2.3637 | 0.3296 | 128 | 2.2845 |
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+ | 2.3014 | 0.3502 | 136 | 2.2781 |
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+ | 2.3067 | 0.3708 | 144 | 2.2830 |
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+ | 2.3242 | 0.3914 | 152 | 2.2788 |
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+ | 2.3184 | 0.4120 | 160 | 2.2659 |
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+ | 2.3574 | 0.4326 | 168 | 2.2782 |
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+ | 2.3006 | 0.4532 | 176 | 2.2733 |
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+ | 2.3082 | 0.4738 | 184 | 2.2699 |
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+ | 2.3097 | 0.4944 | 192 | 2.2615 |
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+ | 2.3003 | 0.5150 | 200 | 2.2649 |
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+ | 2.3027 | 0.5356 | 208 | 2.2594 |
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+ | 2.3262 | 0.5562 | 216 | 2.2491 |
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+ | 2.3118 | 0.5768 | 224 | 2.2599 |
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+ | 2.2904 | 0.5974 | 232 | 2.2623 |
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+ | 2.2519 | 0.6180 | 240 | 2.2495 |
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+ | 2.2907 | 0.6386 | 248 | 2.2526 |
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+ | 2.2864 | 0.6592 | 256 | 2.2512 |
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+ | 2.242 | 0.6798 | 264 | 2.2492 |
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+ | 2.2941 | 0.7004 | 272 | 2.2415 |
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+ | 2.2799 | 0.7210 | 280 | 2.2383 |
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+ | 2.2881 | 0.7416 | 288 | 2.2358 |
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+ | 2.2797 | 0.7621 | 296 | 2.2381 |
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+ | 2.3197 | 0.7827 | 304 | 2.2255 |
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+ | 2.2507 | 0.8033 | 312 | 2.2284 |
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+ | 2.236 | 0.8239 | 320 | 2.2313 |
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+ | 2.2667 | 0.8445 | 328 | 2.2200 |
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+ | 2.2763 | 0.8651 | 336 | 2.2255 |
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+ | 2.2915 | 0.8857 | 344 | 2.2229 |
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+ | 2.2554 | 0.9063 | 352 | 2.2211 |
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+ | 2.2237 | 0.9269 | 360 | 2.2241 |
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+ | 2.2446 | 0.9475 | 368 | 2.2229 |
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+ | 2.2926 | 0.9681 | 376 | 2.2224 |
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+ | 2.2813 | 0.9887 | 384 | 2.2219 |
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  ### Framework versions
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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