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--- |
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license: llama2 |
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library_name: peft |
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tags: |
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- trl |
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- dpo |
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- generated_from_trainer |
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base_model: meta-llama/Llama-2-7b-chat-hf |
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model-index: |
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- name: model_shp1_dpo1 |
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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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# model_shp1_dpo1 |
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0112 |
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- Rewards/chosen: -9.7625 |
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- Rewards/rejected: -9.2926 |
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- Rewards/accuracies: 0.4700 |
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- Rewards/margins: -0.4699 |
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- Logps/rejected: -307.4124 |
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- Logps/chosen: -345.0927 |
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- Logits/rejected: -1.0692 |
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- Logits/chosen: -1.0975 |
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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: 0.0005 |
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- train_batch_size: 4 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_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_steps: 100 |
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- training_steps: 1000 |
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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 | Logits/rejected | Logits/chosen | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.0741 | 2.67 | 100 | 1.1825 | -3.1899 | -3.0393 | 0.4800 | -0.1506 | -244.8796 | -279.3668 | -1.2034 | -1.2620 | |
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| 0.0016 | 5.33 | 200 | 2.1179 | -8.9597 | -8.2224 | 0.4100 | -0.7372 | -296.7111 | -337.0645 | -1.1154 | -1.1503 | |
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| 0.0001 | 8.0 | 300 | 1.9624 | -9.5308 | -9.0562 | 0.4500 | -0.4746 | -305.0487 | -342.7763 | -1.0878 | -1.1168 | |
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| 0.0001 | 10.67 | 400 | 1.9799 | -9.6041 | -9.1296 | 0.4500 | -0.4745 | -305.7831 | -343.5089 | -1.0797 | -1.1079 | |
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| 0.0001 | 13.33 | 500 | 1.9938 | -9.6787 | -9.2063 | 0.4500 | -0.4724 | -306.5495 | -344.2545 | -1.0746 | -1.1031 | |
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| 0.0001 | 16.0 | 600 | 2.0046 | -9.7222 | -9.2446 | 0.4600 | -0.4776 | -306.9330 | -344.6898 | -1.0722 | -1.0999 | |
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| 0.0001 | 18.67 | 700 | 2.0079 | -9.7525 | -9.2749 | 0.4500 | -0.4776 | -307.2361 | -344.9933 | -1.0706 | -1.0984 | |
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| 0.0001 | 21.33 | 800 | 2.0091 | -9.7588 | -9.2867 | 0.4600 | -0.4721 | -307.3541 | -345.0561 | -1.0699 | -1.0978 | |
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| 0.0001 | 24.0 | 900 | 2.0158 | -9.7704 | -9.2915 | 0.4500 | -0.4789 | -307.4015 | -345.1719 | -1.0694 | -1.0975 | |
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| 0.0001 | 26.67 | 1000 | 2.0112 | -9.7625 | -9.2926 | 0.4700 | -0.4699 | -307.4124 | -345.0927 | -1.0692 | -1.0975 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.39.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
