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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_shp4_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_shp4_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: 1.7562 |
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- Rewards/chosen: -8.5308 |
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- Rewards/rejected: -8.4695 |
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- Rewards/accuracies: 0.5200 |
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- Rewards/margins: -0.0613 |
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- Logps/rejected: -331.4397 |
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- Logps/chosen: -314.9189 |
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- Logits/rejected: -1.1613 |
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- Logits/chosen: -1.1692 |
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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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| 0.0922 | 2.67 | 100 | 1.1410 | -4.1724 | -4.0602 | 0.5600 | -0.1122 | -287.3470 | -271.3348 | -0.9400 | -0.9462 | |
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| 0.0014 | 5.33 | 200 | 1.6279 | -8.0256 | -7.9377 | 0.5400 | -0.0879 | -326.1222 | -309.8669 | -1.2061 | -1.2156 | |
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| 0.0001 | 8.0 | 300 | 1.6781 | -7.8271 | -7.7492 | 0.4900 | -0.0780 | -324.2366 | -307.8824 | -1.1931 | -1.2019 | |
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| 0.0001 | 10.67 | 400 | 1.7244 | -8.2046 | -8.1268 | 0.5100 | -0.0778 | -328.0134 | -311.6574 | -1.1773 | -1.1864 | |
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| 0.0001 | 13.33 | 500 | 1.7449 | -8.3826 | -8.3126 | 0.5100 | -0.0701 | -329.8707 | -313.4376 | -1.1689 | -1.1774 | |
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| 0.0001 | 16.0 | 600 | 1.7522 | -8.4707 | -8.4001 | 0.5100 | -0.0706 | -330.7461 | -314.3180 | -1.1649 | -1.1729 | |
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| 0.0001 | 18.67 | 700 | 1.7553 | -8.5177 | -8.4517 | 0.5200 | -0.0659 | -331.2625 | -314.7882 | -1.1626 | -1.1704 | |
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| 0.0001 | 21.33 | 800 | 1.7608 | -8.5360 | -8.4723 | 0.5200 | -0.0637 | -331.4679 | -314.9713 | -1.1608 | -1.1692 | |
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| 0.0001 | 24.0 | 900 | 1.7653 | -8.5361 | -8.4664 | 0.5200 | -0.0697 | -331.4087 | -314.9720 | -1.1617 | -1.1693 | |
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| 0.0001 | 26.67 | 1000 | 1.7562 | -8.5308 | -8.4695 | 0.5200 | -0.0613 | -331.4397 | -314.9189 | -1.1613 | -1.1692 | |
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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 |
