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gemma7b-ft-lora-sql-v2adapters

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.gitattributes CHANGED
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ base_model: google/gemma-7b
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+ library_name: peft
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+ license: gemma
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+ tags:
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ model-index:
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+ - name: gemma7bit-lora-sql
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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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+ # gemma7bit-lora-sql
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+
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+ This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 40.8546
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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: 0.0003
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+ - train_batch_size: 1
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+ - eval_batch_size: 8
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+ - seed: 1399
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 2
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+ - training_steps: 500
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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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+ | 47.4397 | 0.0000 | 2 | 112.0961 |
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+ | 54.9563 | 0.0001 | 4 | 113.0320 |
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+ | 43.0701 | 0.0001 | 6 | 105.0883 |
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+ | 29.3374 | 0.0001 | 8 | 93.7564 |
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+ | 24.013 | 0.0001 | 10 | 70.5026 |
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+ | 5.7244 | 0.0002 | 12 | 70.3644 |
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+ | 6.7112 | 0.0002 | 14 | 69.0918 |
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+ | 5.139 | 0.0002 | 16 | 67.7594 |
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+ | 5.658 | 0.0002 | 18 | 64.8925 |
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+ | 3.348 | 0.0003 | 20 | 62.9086 |
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+ | 3.0009 | 0.0003 | 22 | 54.9081 |
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+ | 3.1078 | 0.0003 | 24 | 47.0123 |
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+ | 2.9829 | 0.0003 | 26 | 44.8515 |
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+ | 2.4287 | 0.0004 | 28 | 42.1563 |
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+ | 2.1561 | 0.0004 | 30 | 39.5831 |
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+ | 2.3805 | 0.0004 | 32 | 37.8210 |
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+ | 4.199 | 0.0004 | 34 | 36.5321 |
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+ | 4.2891 | 0.0005 | 36 | 35.5581 |
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+ | 2.8376 | 0.0005 | 38 | 35.1185 |
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+ | 2.4216 | 0.0005 | 40 | 35.1674 |
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+ | 2.2408 | 0.0005 | 42 | 34.9562 |
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+ | 3.4941 | 0.0006 | 44 | 35.2440 |
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+ | 3.4866 | 0.0006 | 46 | 34.5079 |
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+ | 2.2815 | 0.0006 | 48 | 34.1046 |
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+ | 2.2584 | 0.0006 | 50 | 34.0249 |
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+ | 2.7932 | 0.0007 | 52 | 34.8069 |
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+ | 2.8995 | 0.0007 | 54 | 35.0606 |
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+ | 3.3107 | 0.0007 | 56 | 35.8230 |
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+ | 3.0793 | 0.0007 | 58 | 36.0362 |
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+ | 4.5829 | 0.0008 | 60 | 34.8489 |
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+ | 2.6841 | 0.0008 | 62 | 33.6494 |
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+ | 3.5738 | 0.0008 | 64 | 32.4676 |
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+ | 2.955 | 0.0008 | 66 | 31.9876 |
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+ | 2.1847 | 0.0009 | 68 | 31.4324 |
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+ | 3.5749 | 0.0009 | 70 | 31.4434 |
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+ | 2.0652 | 0.0009 | 72 | 31.6449 |
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+ | 1.9506 | 0.0009 | 74 | 31.8311 |
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+ | 2.6852 | 0.0010 | 76 | 32.0123 |
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+ | 1.8463 | 0.0010 | 78 | 32.2012 |
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+ | 2.4999 | 0.0010 | 80 | 32.4074 |
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+ | 1.7525 | 0.0010 | 82 | 32.5013 |
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+ | 1.865 | 0.0011 | 84 | 32.7458 |
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+ | 2.5512 | 0.0011 | 86 | 32.9542 |
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+ | 2.041 | 0.0011 | 88 | 33.7792 |
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+ | 3.4588 | 0.0011 | 90 | 33.5860 |
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+ | 2.2258 | 0.0012 | 92 | 33.9242 |
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+ | 2.1416 | 0.0012 | 94 | 34.2110 |
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+ | 1.9904 | 0.0012 | 96 | 34.1852 |
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+ | 1.9793 | 0.0012 | 98 | 34.1257 |
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+ | 3.3329 | 0.0013 | 100 | 34.2512 |
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+ | 2.6011 | 0.0013 | 102 | 34.4635 |
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+ | 2.4212 | 0.0013 | 104 | 34.5869 |
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+ | 1.941 | 0.0014 | 106 | 34.7022 |
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+ | 2.4623 | 0.0014 | 108 | 34.9359 |
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+ | 1.7913 | 0.0014 | 112 | 35.1962 |
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+ | 1.6845 | 0.0015 | 114 | 35.5859 |
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+ | 3.0888 | 0.0015 | 116 | 35.8237 |
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+ | 3.4959 | 0.0015 | 118 | 35.4403 |
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+ | 2.5661 | 0.0015 | 120 | 35.3171 |
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+ | 2.4044 | 0.0016 | 122 | 35.1409 |
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+ | 3.1554 | 0.0016 | 124 | 35.0385 |
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+ | 5.6131 | 0.0016 | 128 | 35.2343 |
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+ | 1.771 | 0.0017 | 132 | 36.5919 |
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+ | 2.9702 | 0.0033 | 258 | 39.5491 |
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+ | 1.5879 | 0.0059 | 462 | 40.9164 |
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+ | 1.6303 | 0.0059 | 466 | 40.9104 |
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+ | 2.1252 | 0.0060 | 468 | 40.9000 |
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+ | 2.2879 | 0.0060 | 470 | 40.9209 |
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+ | 1.7797 | 0.0061 | 476 | 40.8563 |
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+ | 1.7215 | 0.0063 | 498 | 40.8439 |
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+ | 2.2366 | 0.0064 | 500 | 40.8546 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.12.0
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+ - Transformers 4.44.0
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+ - Pytorch 2.2.2+cu121
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+ - Datasets 2.21.0
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+ - Tokenizers 0.19.1
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