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--- |
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base_model: alignment-handbook/zephyr-7b-sft-full |
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datasets: |
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- generation/UF6k |
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library_name: peft |
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license: apache-2.0 |
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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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model-index: |
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- name: zephyr-dpo-qlora-uf-oursuf6k-5e-7 |
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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-dpo-qlora-uf-oursuf6k-5e-7 |
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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/UF6k dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6794 |
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- Rewards/chosen: 0.0105 |
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- Rewards/rejected: -0.0268 |
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- Rewards/accuracies: 0.6210 |
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- Rewards/margins: 0.0373 |
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- Rewards/margins Max: 0.1949 |
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- Rewards/margins Min: -0.0994 |
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- Rewards/margins Std: 0.0979 |
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- Logps/rejected: -261.2557 |
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- Logps/chosen: -283.5446 |
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- Logits/rejected: -2.7323 |
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- Logits/chosen: -2.7692 |
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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: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 16 |
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- total_eval_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: cosine |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | 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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| 0.6876 | 0.15 | 100 | 0.6917 | 0.0050 | 0.0011 | 0.6080 | 0.0039 | 0.0235 | -0.0125 | 0.0119 | -258.4697 | -284.0944 | -2.7664 | -2.8052 | |
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| 0.6792 | 0.29 | 200 | 0.6883 | 0.0130 | -0.0001 | 0.6370 | 0.0131 | 0.0719 | -0.0363 | 0.0359 | -258.5862 | -283.2935 | -2.7570 | -2.7954 | |
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| 0.6697 | 0.44 | 300 | 0.6849 | 0.0203 | -0.0017 | 0.6170 | 0.0220 | 0.1184 | -0.0597 | 0.0593 | -258.7473 | -282.5646 | -2.7489 | -2.7863 | |
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| 0.6571 | 0.58 | 400 | 0.6819 | 0.0205 | -0.0099 | 0.6330 | 0.0303 | 0.1598 | -0.0807 | 0.0801 | -259.5654 | -282.5452 | -2.7352 | -2.7727 | |
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| 0.6508 | 0.73 | 500 | 0.6802 | 0.0128 | -0.0223 | 0.6270 | 0.0351 | 0.1844 | -0.0939 | 0.0926 | -260.8111 | -283.3109 | -2.7314 | -2.7685 | |
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| 0.6444 | 0.88 | 600 | 0.6796 | 0.0113 | -0.0257 | 0.6230 | 0.0369 | 0.1937 | -0.0983 | 0.0973 | -261.1460 | -283.4656 | -2.7308 | -2.7678 | |
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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 |
