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CodeExplainer-7b-v0.11-GPTQ

PEFT
Safetensors
Generated from Trainer
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Pushing fine-tuned model

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  1. README.md +160 -0
  2. adapter_config.json +29 -0
  3. adapter_model.safetensors +3 -0
  4. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: TheBloke/Marcoroni-7B-v3-GPTQ
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+ model-index:
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+ - name: 20231215-144935
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # 20231215-144935
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+
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+ This model is a fine-tuned version of [TheBloke/Marcoroni-7B-v3-GPTQ](https://huggingface.co/TheBloke/Marcoroni-7B-v3-GPTQ) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2792
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2.5e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 2
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+ - training_steps: 100
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.1951 | 0.02 | 1 | 2.0427 |
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+ | 1.4965 | 0.03 | 2 | 2.0427 |
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+ | 2.2716 | 0.05 | 3 | 1.9661 |
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+ | 1.9397 | 0.06 | 4 | 1.9661 |
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+ | 1.8659 | 0.08 | 5 | 1.9661 |
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+ | 1.9903 | 0.09 | 6 | 1.8551 |
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+ | 1.9031 | 0.11 | 7 | 1.7846 |
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+ | 1.929 | 0.12 | 8 | 1.7253 |
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+ | 0.9994 | 0.14 | 9 | 1.6749 |
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+ | 1.4887 | 0.15 | 10 | 1.6266 |
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+ | 1.2112 | 0.17 | 11 | 1.5763 |
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+ | 1.3437 | 0.18 | 12 | 1.5326 |
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+ | 1.1061 | 0.2 | 13 | 1.5014 |
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+ | 1.4769 | 0.22 | 14 | 1.4676 |
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+ | 1.452 | 0.23 | 15 | 1.4313 |
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+ | 1.2393 | 0.25 | 16 | 1.3963 |
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+ | 1.1998 | 0.26 | 17 | 1.3662 |
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+ | 1.529 | 0.28 | 18 | 1.3353 |
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+ | 0.949 | 0.29 | 19 | 1.3088 |
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+ | 1.1857 | 0.31 | 20 | 1.2798 |
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+ | 1.4852 | 0.32 | 21 | 1.2484 |
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+ | 1.2845 | 0.34 | 22 | 1.2146 |
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+ | 1.332 | 0.35 | 23 | 1.1795 |
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+ | 0.8718 | 0.37 | 24 | 1.1435 |
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+ | 1.2038 | 0.38 | 25 | 1.1069 |
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+ | 1.2105 | 0.4 | 26 | 1.0683 |
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+ | 0.9161 | 0.42 | 27 | 1.0277 |
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+ | 1.0415 | 0.43 | 28 | 0.9849 |
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+ | 1.0367 | 0.45 | 29 | 0.9400 |
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+ | 0.9279 | 0.46 | 30 | 0.8924 |
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+ | 0.82 | 0.48 | 31 | 0.8467 |
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+ | 0.8286 | 0.49 | 32 | 0.8077 |
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+ | 0.7855 | 0.51 | 33 | 0.7645 |
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+ | 0.7919 | 0.52 | 34 | 0.7164 |
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+ | 0.6294 | 0.54 | 35 | 0.6712 |
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+ | 0.6205 | 0.55 | 36 | 0.6302 |
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+ | 0.5754 | 0.57 | 37 | 0.5926 |
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+ | 0.6331 | 0.58 | 38 | 0.5578 |
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+ | 0.5068 | 0.6 | 39 | 0.5251 |
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+ | 0.5252 | 0.62 | 40 | 0.5009 |
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+ | 0.442 | 0.63 | 41 | 0.4800 |
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+ | 0.4451 | 0.65 | 42 | 0.4628 |
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+ | 0.3742 | 0.66 | 43 | 0.4491 |
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+ | 0.8263 | 0.68 | 44 | 0.4383 |
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+ | 0.4392 | 0.69 | 45 | 0.4277 |
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+ | 0.5359 | 0.71 | 46 | 0.4174 |
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+ | 0.3903 | 0.72 | 47 | 0.4051 |
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+ | 0.4177 | 0.74 | 48 | 0.3921 |
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+ | 0.4606 | 0.75 | 49 | 0.3792 |
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+ | 0.5233 | 0.77 | 50 | 0.3700 |
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+ | 0.3838 | 0.78 | 51 | 0.3638 |
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+ | 0.353 | 0.8 | 52 | 0.3587 |
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+ | 0.3108 | 0.82 | 53 | 0.3530 |
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+ | 0.4029 | 0.83 | 54 | 0.3470 |
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+ | 0.3425 | 0.85 | 55 | 0.3411 |
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+ | 0.2976 | 0.86 | 56 | 0.3345 |
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+ | 0.5347 | 0.88 | 57 | 0.3291 |
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+ | 0.3208 | 0.89 | 58 | 0.3239 |
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+ | 0.3319 | 0.91 | 59 | 0.3194 |
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+ | 0.3333 | 0.92 | 60 | 0.3160 |
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+ | 0.3102 | 0.94 | 61 | 0.3135 |
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+ | 0.4149 | 0.95 | 62 | 0.3118 |
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+ | 0.3044 | 0.97 | 63 | 0.3098 |
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+ | 0.2688 | 0.98 | 64 | 0.3076 |
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+ | 0.3926 | 1.0 | 65 | 0.3060 |
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+ | 0.2969 | 1.02 | 66 | 0.3045 |
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+ | 0.3799 | 1.03 | 67 | 0.3029 |
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+ | 0.3045 | 1.05 | 68 | 0.3014 |
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+ | 0.2295 | 1.06 | 69 | 0.2997 |
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+ | 0.4113 | 1.08 | 70 | 0.2983 |
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+ | 0.3093 | 1.09 | 71 | 0.2969 |
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+ | 0.2542 | 1.11 | 72 | 0.2957 |
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+ | 0.2445 | 1.12 | 73 | 0.2947 |
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+ | 0.2592 | 1.14 | 74 | 0.2935 |
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+ | 0.6259 | 1.15 | 75 | 0.2925 |
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+ | 0.3217 | 1.17 | 76 | 0.2916 |
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+ | 0.2969 | 1.18 | 77 | 0.2907 |
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+ | 0.287 | 1.2 | 78 | 0.2898 |
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+ | 0.2642 | 1.22 | 79 | 0.2890 |
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+ | 0.2735 | 1.23 | 80 | 0.2880 |
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+ | 0.2472 | 1.25 | 81 | 0.2870 |
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+ | 0.3068 | 1.26 | 82 | 0.2862 |
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+ | 0.2779 | 1.28 | 83 | 0.2855 |
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+ | 0.2915 | 1.29 | 84 | 0.2848 |
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+ | 0.3926 | 1.31 | 85 | 0.2841 |
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+ | 0.3057 | 1.32 | 86 | 0.2836 |
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+ | 0.2413 | 1.34 | 87 | 0.2830 |
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+ | 0.2851 | 1.35 | 88 | 0.2826 |
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+ | 0.2295 | 1.37 | 89 | 0.2821 |
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+ | 0.2611 | 1.38 | 90 | 0.2817 |
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+ | 0.6346 | 1.4 | 91 | 0.2814 |
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+ | 0.2297 | 1.42 | 92 | 0.2811 |
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+ | 0.4868 | 1.43 | 93 | 0.2808 |
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+ | 0.2819 | 1.45 | 94 | 0.2805 |
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+ | 0.2589 | 1.46 | 95 | 0.2803 |
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+ | 0.2171 | 1.48 | 96 | 0.2801 |
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+ | 0.2581 | 1.49 | 97 | 0.2798 |
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+ | 0.2495 | 1.51 | 98 | 0.2796 |
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+ | 0.2702 | 1.52 | 99 | 0.2793 |
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+ | 0.271 | 1.54 | 100 | 0.2792 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.7.2.dev0
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+ - Transformers 4.37.0.dev0
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
adapter_config.json ADDED
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+ {
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+ "alpha_pattern": {},
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "TheBloke/Marcoroni-7B-v3-GPTQ",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "loftq_config": {},
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+ "lora_alpha": 32,
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+ "lora_dropout": 0.05,
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+ "megatron_config": null,
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+ "megatron_core": "megatron.core",
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 8,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "k_proj",
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+ "v_proj",
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+ "o_proj",
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+ "q_proj"
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_rslora": false
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+ }
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