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20231216-045106

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: AIDC-ai-business/Marcoroni-7B-v3
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+ model-index:
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+ - name: 20231216-045106
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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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+ # 20231216-045106
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+
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+ This model is a fine-tuned version of [AIDC-ai-business/Marcoroni-7B-v3](https://huggingface.co/AIDC-ai-business/Marcoroni-7B-v3) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2843
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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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+ | 2.2541 | 0.02 | 1 | 2.1106 |
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+ | 1.5517 | 0.03 | 2 | 2.1106 |
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+ | 2.347 | 0.05 | 3 | 2.0350 |
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+ | 2.006 | 0.06 | 4 | 1.9297 |
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+ | 1.8398 | 0.08 | 5 | 1.8406 |
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+ | 1.8506 | 0.09 | 6 | 1.8406 |
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+ | 1.8804 | 0.11 | 7 | 1.7621 |
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+ | 1.9034 | 0.12 | 8 | 1.6988 |
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+ | 0.9835 | 0.14 | 9 | 1.6494 |
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+ | 1.4725 | 0.15 | 10 | 1.5915 |
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+ | 1.1824 | 0.17 | 11 | 1.5557 |
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+ | 1.3356 | 0.18 | 12 | 1.5557 |
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+ | 1.1077 | 0.2 | 13 | 1.5242 |
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+ | 1.4959 | 0.22 | 14 | 1.4908 |
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+ | 1.4881 | 0.23 | 15 | 1.4550 |
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+ | 1.2674 | 0.25 | 16 | 1.4201 |
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+ | 1.2133 | 0.26 | 17 | 1.3872 |
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+ | 1.5423 | 0.28 | 18 | 1.3521 |
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+ | 0.9551 | 0.29 | 19 | 1.3212 |
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+ | 1.1868 | 0.31 | 20 | 1.2881 |
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+ | 1.4799 | 0.32 | 21 | 1.2526 |
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+ | 1.2903 | 0.34 | 22 | 1.2154 |
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+ | 1.3357 | 0.35 | 23 | 1.1770 |
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+ | 0.868 | 0.37 | 24 | 1.1383 |
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+ | 1.1978 | 0.38 | 25 | 1.0982 |
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+ | 1.2102 | 0.4 | 26 | 1.0575 |
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+ | 0.8946 | 0.42 | 27 | 1.0575 |
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+ | 1.0671 | 0.43 | 28 | 1.0151 |
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+ | 1.0761 | 0.45 | 29 | 0.9715 |
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+ | 0.9568 | 0.46 | 30 | 0.9263 |
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+ | 0.8203 | 0.48 | 31 | 0.8848 |
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+ | 0.8601 | 0.49 | 32 | 0.8408 |
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+ | 0.8253 | 0.51 | 33 | 0.7945 |
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+ | 0.8098 | 0.52 | 34 | 0.7504 |
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+ | 0.6567 | 0.54 | 35 | 0.7110 |
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+ | 0.6545 | 0.55 | 36 | 0.6695 |
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+ | 0.6036 | 0.57 | 37 | 0.6338 |
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+ | 0.6746 | 0.58 | 38 | 0.6018 |
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+ | 0.5376 | 0.6 | 39 | 0.5731 |
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+ | 0.5674 | 0.62 | 40 | 0.5471 |
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+ | 0.4762 | 0.63 | 41 | 0.5218 |
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+ | 0.4755 | 0.65 | 42 | 0.4965 |
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+ | 0.3974 | 0.66 | 43 | 0.4756 |
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+ | 0.8437 | 0.68 | 44 | 0.4607 |
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+ | 0.4766 | 0.69 | 45 | 0.4485 |
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+ | 0.5403 | 0.71 | 46 | 0.4369 |
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+ | 0.4201 | 0.72 | 47 | 0.4244 |
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+ | 0.4326 | 0.74 | 48 | 0.4115 |
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+ | 0.4669 | 0.75 | 49 | 0.3978 |
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+ | 0.5259 | 0.77 | 50 | 0.3867 |
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+ | 0.3906 | 0.78 | 51 | 0.3782 |
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+ | 0.369 | 0.8 | 52 | 0.3724 |
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+ | 0.3314 | 0.82 | 53 | 0.3658 |
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+ | 0.4164 | 0.83 | 54 | 0.3585 |
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+ | 0.3339 | 0.85 | 55 | 0.3499 |
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+ | 0.315 | 0.86 | 56 | 0.3405 |
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+ | 0.5404 | 0.88 | 57 | 0.3340 |
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+ | 0.3136 | 0.89 | 58 | 0.3302 |
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+ | 0.3574 | 0.91 | 59 | 0.3275 |
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+ | 0.3466 | 0.92 | 60 | 0.3249 |
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+ | 0.3097 | 0.94 | 61 | 0.3226 |
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+ | 0.4212 | 0.95 | 62 | 0.3208 |
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+ | 0.3183 | 0.97 | 63 | 0.3184 |
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+ | 0.2762 | 0.98 | 64 | 0.3162 |
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+ | 0.3936 | 1.0 | 65 | 0.3143 |
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+ | 0.303 | 1.02 | 66 | 0.3128 |
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+ | 0.3813 | 1.03 | 67 | 0.3108 |
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+ | 0.3065 | 1.05 | 68 | 0.3089 |
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+ | 0.2457 | 1.06 | 69 | 0.3069 |
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+ | 0.4008 | 1.08 | 70 | 0.3053 |
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+ | 0.3131 | 1.09 | 71 | 0.3040 |
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+ | 0.2483 | 1.11 | 72 | 0.3027 |
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+ | 0.2445 | 1.12 | 73 | 0.3016 |
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+ | 0.2717 | 1.14 | 74 | 0.3003 |
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+ | 0.6308 | 1.15 | 75 | 0.2991 |
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+ | 0.3271 | 1.17 | 76 | 0.2980 |
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+ | 0.3013 | 1.18 | 77 | 0.2971 |
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+ | 0.2951 | 1.2 | 78 | 0.2960 |
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+ | 0.2514 | 1.22 | 79 | 0.2950 |
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+ | 0.2836 | 1.23 | 80 | 0.2940 |
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+ | 0.2538 | 1.25 | 81 | 0.2929 |
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+ | 0.312 | 1.26 | 82 | 0.2921 |
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+ | 0.2773 | 1.28 | 83 | 0.2912 |
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+ | 0.2957 | 1.29 | 84 | 0.2904 |
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+ | 0.3997 | 1.31 | 85 | 0.2896 |
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+ | 0.3084 | 1.32 | 86 | 0.2889 |
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+ | 0.2521 | 1.34 | 87 | 0.2882 |
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+ | 0.2873 | 1.35 | 88 | 0.2877 |
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+ | 0.2419 | 1.37 | 89 | 0.2872 |
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+ | 0.2691 | 1.38 | 90 | 0.2867 |
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+ | 0.6368 | 1.4 | 91 | 0.2864 |
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+ | 0.2299 | 1.42 | 92 | 0.2860 |
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+ | 0.4967 | 1.43 | 93 | 0.2857 |
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+ | 0.2827 | 1.45 | 94 | 0.2855 |
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+ | 0.2501 | 1.46 | 95 | 0.2853 |
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+ | 0.2285 | 1.48 | 96 | 0.2851 |
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+ | 0.269 | 1.49 | 97 | 0.2849 |
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+ | 0.2539 | 1.51 | 98 | 0.2847 |
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+ | 0.2798 | 1.52 | 99 | 0.2845 |
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+ | 0.2695 | 1.54 | 100 | 0.2843 |
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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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+ "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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+ "o_proj",
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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_rslora": false
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+ }
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