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--- |
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library_name: peft |
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tags: |
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- alignment-handbook |
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- generated_from_trainer |
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datasets: |
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- David-Xu/astronomy-stack-dpo-20-percent |
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base_model: meta-llama/Llama-2-7b-chat-hf |
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model-index: |
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- name: cira-7b-dpo-lora-merge |
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results: [] |
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license: mit |
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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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# cira-7b-dpo-lora-merge |
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This model is a fine-tuned version of [David-Xu/llama-2-7b-cira-sft-v0.1-merge](https://huggingface.co/David-Xu/llama-2-7b-cira-sft-v0.1-merge) on the David-Xu/astronomy-stack-dpo-20-percent dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6183 |
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- Rewards/chosen: 0.5535 |
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- Rewards/rejected: 0.3385 |
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- Rewards/accuracies: 0.6784 |
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- Rewards/margins: 0.2150 |
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- Logps/rejected: -652.2422 |
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- Logps/chosen: -795.1126 |
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- Logits/rejected: -1.1812 |
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- Logits/chosen: -1.0305 |
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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-06 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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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 | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected | |
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|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:| |
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| 0.6618 | 0.11 | 100 | -0.8082 | -1.0029 | -823.6102 | -665.3923 | 0.6664 | 0.6432 | 0.2685 | 0.0615 | 0.2070 | |
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| 0.6079 | 0.22 | 200 | -1.0530 | -1.2188 | -794.3279 | -642.6389 | 0.6463 | 0.6508 | 0.5613 | 0.1268 | 0.4345 | |
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| 0.6029 | 0.33 | 300 | -1.0367 | -1.1965 | -793.2078 | -644.8513 | 0.6360 | 0.6558 | 0.5725 | 0.1601 | 0.4124 | |
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| 0.6123 | 0.45 | 400 | -1.1220 | -1.2658 | -787.7750 | -641.9633 | 0.6291 | 0.6608 | 0.6269 | 0.1856 | 0.4413 | |
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| 0.5596 | 0.56 | 500 | -1.0852 | -1.2330 | -790.7928 | -646.7930 | 0.6230 | 0.6683 | 0.5967 | 0.2037 | 0.3930 | |
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| 0.5382 | 0.67 | 600 | -1.0547 | -1.2034 | -793.2486 | -650.0926 | 0.6199 | 0.6709 | 0.5721 | 0.2121 | 0.3600 | |
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| 0.5952 | 0.78 | 700 | -1.0324 | -1.1827 | -794.9604 | -652.0420 | 0.6186 | 0.6784 | 0.5550 | 0.2145 | 0.3405 | |
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| 0.5792 | 0.89 | 800 | -1.0308 | -1.1812 | -795.125 | -652.2705 | 0.6182 | 0.6784 | 0.5534 | 0.2151 | 0.3382 | |
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### Framework versions |
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- PEFT 0.9.0 |
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- Transformers 4.36.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
