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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-dpop-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-dpop-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: 0.6916 |
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- Positive Losses: 0.0091 |
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- Dpo Losses: 0.6900 |
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- Rewards/chosen: 0.0284 |
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- Rewards/rejected: 0.0220 |
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- Rewards/accuracies: 0.6570 |
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- Rewards/margins: 0.0064 |
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- Rewards/margins Max: 0.0305 |
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- Rewards/margins Min: -0.0149 |
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- Rewards/margins Std: 0.0150 |
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- Logps/rejected: -256.3835 |
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- Logps/chosen: -281.7567 |
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- Logits/rejected: -2.7680 |
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- Logits/chosen: -2.8065 |
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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 | 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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| 0.6925 | 0.3 | 100 | 0.6926 | 0.0030 | 0.6919 | 0.0172 | 0.0146 | 0.6330 | 0.0026 | 0.0140 | -0.0079 | 0.0073 | -257.1209 | -282.8758 | -2.7669 | -2.8058 | |
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| 0.6928 | 0.61 | 200 | 0.6919 | 0.0086 | 0.6904 | 0.0259 | 0.0203 | 0.6470 | 0.0056 | 0.0265 | -0.0130 | 0.0131 | -256.5479 | -282.0022 | -2.7678 | -2.8064 | |
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| 0.6916 | 0.91 | 300 | 0.6914 | 0.0070 | 0.6900 | 0.0283 | 0.0219 | 0.6630 | 0.0064 | 0.0305 | -0.0148 | 0.0149 | -256.3924 | -281.7664 | -2.7635 | -2.8024 | |
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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 |