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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/UF |
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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-uf-ours-5e-7-epoch1 |
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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-uf-ours-5e-7-epoch1 |
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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/UF dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7024 |
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- Positive Losses: 0.1617 |
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- Dpo Losses: 0.6844 |
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- Rewards/chosen: 0.0533 |
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- Rewards/rejected: 0.0348 |
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- Rewards/accuracies: 0.5940 |
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- Rewards/margins: 0.0185 |
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- Rewards/margins Max: 0.1082 |
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- Rewards/margins Min: -0.0600 |
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- Rewards/margins Std: 0.0561 |
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- Logps/rejected: -255.0996 |
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- Logps/chosen: -279.2664 |
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- Logits/rejected: -2.7455 |
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- Logits/chosen: -2.7839 |
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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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| 0.6834 | 0.28 | 100 | 0.6932 | 0.0200 | 0.6905 | 0.0248 | 0.0194 | 0.5930 | 0.0054 | 0.0341 | -0.0197 | 0.0178 | -256.6423 | -282.1181 | -2.7657 | -2.8044 | |
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| 0.6629 | 0.56 | 200 | 0.6977 | 0.1042 | 0.6860 | 0.0485 | 0.0335 | 0.5980 | 0.0149 | 0.0881 | -0.0489 | 0.0456 | -255.2263 | -279.7464 | -2.7492 | -2.7879 | |
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| 0.6479 | 0.85 | 300 | 0.7024 | 0.1592 | 0.6845 | 0.0528 | 0.0346 | 0.5940 | 0.0182 | 0.1072 | -0.0591 | 0.0555 | -255.1217 | -279.3168 | -2.7478 | -2.7859 | |
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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 |
