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--- |
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base_model: princeton-nlp/Llama-3-Base-8B-SFT |
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library_name: peft |
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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: llama3-wpo-lora |
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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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# llama3-wpo-lora |
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This model is a fine-tuned version of [princeton-nlp/Llama-3-Base-8B-SFT](https://huggingface.co/princeton-nlp/Llama-3-Base-8B-SFT) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5172 |
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- Rewards/chosen: -0.0494 |
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- Rewards/rejected: -0.9056 |
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- Rewards/accuracies: 0.7300 |
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- Rewards/margins: 0.8562 |
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- Logps/rejected: -285.7321 |
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- Logps/chosen: -293.0410 |
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- Logps/ref Response: -0.5364 |
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- Logits/rejected: -0.3074 |
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- Logits/chosen: -0.3445 |
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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: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 64 |
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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 | Logps/rejected | Logps/chosen | Logps/ref Response | Logits/rejected | Logits/chosen | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:------------------:|:---------------:|:-------------:| |
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| 0.6142 | 0.1047 | 100 | 0.5973 | 0.2024 | -0.1309 | 0.7020 | 0.3333 | -277.9861 | -290.5232 | -0.5364 | -0.5487 | -0.5543 | |
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| 0.5579 | 0.2094 | 200 | 0.5483 | -0.0751 | -0.7065 | 0.7120 | 0.6313 | -283.7411 | -293.2985 | -0.5364 | -0.4847 | -0.5042 | |
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| 0.5402 | 0.3141 | 300 | 0.5354 | -0.1318 | -0.8578 | 0.7260 | 0.7260 | -285.2545 | -293.8653 | -0.5364 | -0.4387 | -0.4637 | |
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| 0.5112 | 0.4187 | 400 | 0.5277 | -0.1698 | -0.9670 | 0.7220 | 0.7973 | -286.3469 | -294.2450 | -0.5364 | -0.3715 | -0.4030 | |
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| 0.5319 | 0.5234 | 500 | 0.5212 | -0.1546 | -0.9783 | 0.7260 | 0.8237 | -286.4595 | -294.0932 | -0.5364 | -0.3377 | -0.3727 | |
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| 0.5155 | 0.6281 | 600 | 0.5195 | -0.0851 | -0.9285 | 0.7360 | 0.8434 | -285.9612 | -293.3980 | -0.5364 | -0.3247 | -0.3608 | |
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| 0.5113 | 0.7328 | 700 | 0.5173 | -0.1941 | -1.0489 | 0.7340 | 0.8547 | -287.1652 | -294.4885 | -0.5364 | -0.3036 | -0.3411 | |
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| 0.5268 | 0.8375 | 800 | 0.5177 | -0.0457 | -0.9023 | 0.7220 | 0.8566 | -285.7000 | -293.0044 | -0.5364 | -0.3082 | -0.3453 | |
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| 0.4923 | 0.9422 | 900 | 0.5175 | -0.0517 | -0.9092 | 0.7280 | 0.8575 | -285.7691 | -293.0645 | -0.5364 | -0.3072 | -0.3443 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.44.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.19.1 |
