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--- |
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base_model: huggyllama/llama-13b |
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library_name: peft |
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license: other |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: llama-13b_alpaca-clean_l0.0002_64 |
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results: [] |
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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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# llama-13b_alpaca-clean_l0.0002_64 |
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This model is a fine-tuned version of [huggyllama/llama-13b](https://huggingface.co/huggyllama/llama-13b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5226 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 0 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- lr_scheduler_warmup_ratio: 0.03 |
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- training_steps: 0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.1456 | 0.0003 | 1 | 2.3431 | |
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| 2.0148 | 0.0590 | 187 | 1.5488 | |
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| 1.2875 | 0.1179 | 374 | 1.5405 | |
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| 1.0668 | 0.1769 | 561 | 1.5543 | |
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| 1.8093 | 0.2359 | 748 | 1.4975 | |
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| 1.6438 | 0.2949 | 935 | 1.4835 | |
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| 1.2251 | 0.3538 | 1122 | 1.4810 | |
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| 1.0625 | 0.4128 | 1309 | 1.4741 | |
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| 1.8002 | 0.4718 | 1496 | 1.4496 | |
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| 1.5269 | 0.5307 | 1683 | 1.4526 | |
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| 1.1458 | 0.5897 | 1870 | 1.4545 | |
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| 1.0543 | 0.6487 | 2057 | 1.4612 | |
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| 2.2424 | 0.7077 | 2244 | 1.4442 | |
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| 1.593 | 0.7666 | 2431 | 1.4435 | |
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| 1.0416 | 0.8256 | 2618 | 1.4539 | |
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| 0.9933 | 0.8846 | 2805 | 1.4524 | |
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| 1.9771 | 0.9436 | 2992 | 1.4390 | |
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| 0.9435 | 1.0025 | 3179 | 1.4399 | |
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| 2.3091 | 1.0615 | 3366 | 1.4685 | |
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| 1.3242 | 1.1205 | 3553 | 1.4607 | |
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| 1.1381 | 1.1794 | 3740 | 1.4711 | |
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| 0.907 | 1.2384 | 3927 | 1.4860 | |
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| 1.752 | 1.2974 | 4114 | 1.4583 | |
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| 1.0621 | 1.3564 | 4301 | 1.4590 | |
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| 0.9417 | 1.4153 | 4488 | 1.4633 | |
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| 1.0226 | 1.4743 | 4675 | 1.4648 | |
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| 1.8375 | 1.5333 | 4862 | 1.4569 | |
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| 1.3047 | 1.5922 | 5049 | 1.4614 | |
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| 0.9083 | 1.6512 | 5236 | 1.4736 | |
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| 0.9209 | 1.7102 | 5423 | 1.4640 | |
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| 1.6807 | 1.7692 | 5610 | 1.4494 | |
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| 1.0549 | 1.8281 | 5797 | 1.4558 | |
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| 0.9171 | 1.8871 | 5984 | 1.4559 | |
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| 2.0487 | 1.9461 | 6171 | 1.4512 | |
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| 0.8636 | 2.0050 | 6358 | 1.4486 | |
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| 0.8722 | 2.0640 | 6545 | 1.5880 | |
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| 1.2758 | 2.1230 | 6732 | 1.5332 | |
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| 0.9294 | 2.1820 | 6919 | 1.5220 | |
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| 0.9638 | 2.2409 | 7106 | 1.5444 | |
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| 0.9522 | 2.2999 | 7293 | 1.5982 | |
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| 1.0788 | 2.3589 | 7480 | 1.5257 | |
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| 1.0903 | 2.4178 | 7667 | 1.5385 | |
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| 0.9291 | 2.4768 | 7854 | 1.5559 | |
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| 1.0212 | 2.5358 | 8041 | 1.5356 | |
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| 1.3065 | 2.5948 | 8228 | 1.5146 | |
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| 0.9102 | 2.6537 | 8415 | 1.5322 | |
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| 0.8117 | 2.7127 | 8602 | 1.5404 | |
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| 1.4213 | 2.7717 | 8789 | 1.5409 | |
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| 1.1398 | 2.8307 | 8976 | 1.5152 | |
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| 0.9868 | 2.8896 | 9163 | 1.5408 | |
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| 0.8449 | 2.9486 | 9350 | 1.5555 | |
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### Framework versions |
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- PEFT 0.12.1.dev0 |
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- Transformers 4.45.0.dev0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
