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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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- alignment-handbook |
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- trl |
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- dpo |
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- generated_from_trainer |
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base_model: alignment-handbook/zephyr-7b-sft-full |
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datasets: |
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- generation/UF6konly |
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model-index: |
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- name: zephyr-7b-dpop-uf6k-qlora-5e-7-epoch3 |
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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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# zephyr-7b-dpop-uf6k-qlora-5e-7-epoch3 |
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co./alignment-handbook/zephyr-7b-sft-full) on the generation/UF6konly dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6877 |
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- Positive Losses: 0.0653 |
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- Dpo Losses: 0.6792 |
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- Rewards/chosen: 0.0804 |
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- Rewards/rejected: 0.0515 |
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- Rewards/accuracies: 0.6786 |
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- Rewards/margins: 0.0289 |
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- Rewards/margins Max: 0.0914 |
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- Rewards/margins Min: -0.0315 |
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- Rewards/margins Std: 0.0551 |
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- Logps/rejected: -254.0317 |
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- Logps/chosen: -277.1849 |
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- Logits/rejected: -2.8006 |
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- Logits/chosen: -2.8458 |
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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: 5e-07 |
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- train_batch_size: 2 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 16 |
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- total_eval_batch_size: 32 |
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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_ratio: 0.1 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Positive Losses | Dpo Losses | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.6932 | 0.3 | 100 | 0.6930 | 0.0052 | 0.6925 | 0.0096 | 0.0083 | 0.5794 | 0.0012 | 0.0066 | -0.0040 | 0.0047 | -258.3495 | -284.2642 | -2.8141 | -2.8594 | |
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| 0.6919 | 0.61 | 200 | 0.6915 | 0.0119 | 0.6904 | 0.0242 | 0.0187 | 0.6667 | 0.0055 | 0.0195 | -0.0083 | 0.0124 | -257.3141 | -282.7999 | -2.8133 | -2.8583 | |
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| 0.6903 | 0.91 | 300 | 0.6899 | 0.0165 | 0.6876 | 0.0395 | 0.0283 | 0.6667 | 0.0112 | 0.0379 | -0.0143 | 0.0232 | -256.3544 | -281.2695 | -2.8086 | -2.8537 | |
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| 0.6832 | 1.22 | 400 | 0.6892 | 0.0304 | 0.6847 | 0.0525 | 0.0351 | 0.7024 | 0.0174 | 0.0557 | -0.0196 | 0.0337 | -255.6741 | -279.9755 | -2.8057 | -2.8507 | |
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| 0.6776 | 1.52 | 500 | 0.6884 | 0.0444 | 0.6825 | 0.0647 | 0.0427 | 0.6905 | 0.0220 | 0.0710 | -0.0256 | 0.0433 | -254.9144 | -278.7508 | -2.8047 | -2.8495 | |
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| 0.677 | 1.82 | 600 | 0.6873 | 0.0459 | 0.6811 | 0.0769 | 0.0519 | 0.6825 | 0.0250 | 0.0803 | -0.0280 | 0.0484 | -253.9932 | -277.5360 | -2.8047 | -2.8494 | |
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| 0.6796 | 2.13 | 700 | 0.6872 | 0.0548 | 0.6800 | 0.0798 | 0.0526 | 0.6825 | 0.0272 | 0.0865 | -0.0298 | 0.0521 | -253.9202 | -277.2366 | -2.8026 | -2.8477 | |
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| 0.6778 | 2.43 | 800 | 0.6875 | 0.0604 | 0.6795 | 0.0800 | 0.0518 | 0.6825 | 0.0282 | 0.0897 | -0.0307 | 0.0540 | -254.0074 | -277.2222 | -2.8024 | -2.8474 | |
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| 0.6739 | 2.74 | 900 | 0.6878 | 0.0651 | 0.6793 | 0.0802 | 0.0515 | 0.6706 | 0.0287 | 0.0914 | -0.0317 | 0.0550 | -254.0345 | -277.2037 | -2.8028 | -2.8477 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
