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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/UF6konly |
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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-uf6k-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-uf6k-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/UF6konly dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6890 |
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- Rewards/chosen: 0.0030 |
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- Rewards/rejected: -0.0067 |
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- Rewards/accuracies: 0.6750 |
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- Rewards/margins: 0.0097 |
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- Rewards/margins Max: 0.0448 |
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- Rewards/margins Min: -0.0217 |
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- Rewards/margins Std: 0.0219 |
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- Logps/rejected: -259.2527 |
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- Logps/chosen: -284.2960 |
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- Logits/rejected: -2.7684 |
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- Logits/chosen: -2.8066 |
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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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| 0.6914 | 0.3 | 100 | 0.6915 | -0.0004 | -0.0041 | 0.6460 | 0.0037 | 0.0187 | -0.0095 | 0.0093 | -258.9901 | -284.6319 | -2.7677 | -2.8065 | |
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| 0.6884 | 0.61 | 200 | 0.6895 | 0.0023 | -0.0061 | 0.6850 | 0.0084 | 0.0389 | -0.0189 | 0.0190 | -259.1880 | -284.3611 | -2.7665 | -2.8049 | |
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| 0.6873 | 0.91 | 300 | 0.6889 | 0.0031 | -0.0066 | 0.6760 | 0.0098 | 0.0449 | -0.0216 | 0.0219 | -259.2438 | -284.2815 | -2.7640 | -2.8026 | |
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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 |
