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--- |
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library_name: peft |
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license: llama2 |
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base_model: meta-llama/Llama-2-7b-hf |
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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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model-index: |
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- name: Llama-2-7b-hf-DPO-LookAhead-5_Q2_TTree1.4_TT0.9_TP0.7_TE0.2_V2 |
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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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# Llama-2-7b-hf-DPO-LookAhead-5_Q2_TTree1.4_TT0.9_TP0.7_TE0.2_V2 |
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9352 |
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- Rewards/chosen: -1.7573 |
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- Rewards/rejected: -1.5576 |
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- Rewards/accuracies: 0.5 |
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- Rewards/margins: -0.1997 |
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- Logps/rejected: -110.7931 |
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- Logps/chosen: -134.9680 |
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- Logits/rejected: 0.0983 |
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- Logits/chosen: 0.0721 |
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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-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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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_steps: 10 |
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- num_epochs: 3 |
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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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| 0.7029 | 0.3026 | 77 | 0.6933 | -0.0162 | -0.0163 | 0.3333 | 0.0001 | -95.3805 | -117.5575 | 0.5079 | 0.4933 | |
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| 0.6605 | 0.6051 | 154 | 0.6804 | 0.0594 | 0.0318 | 0.6667 | 0.0276 | -94.8997 | -116.8017 | 0.4988 | 0.4837 | |
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| 0.6291 | 0.9077 | 231 | 0.6684 | 0.2040 | 0.1302 | 0.75 | 0.0738 | -93.9156 | -115.3556 | 0.4931 | 0.4757 | |
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| 0.3149 | 1.2102 | 308 | 0.6806 | -0.2081 | -0.3152 | 0.5833 | 0.1071 | -98.3691 | -119.4764 | 0.4810 | 0.4619 | |
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| 0.3251 | 1.5128 | 385 | 0.7502 | -0.4333 | -0.4100 | 0.5833 | -0.0233 | -99.3170 | -121.7279 | 0.4258 | 0.4057 | |
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| 0.2002 | 1.8153 | 462 | 0.8816 | -1.2398 | -1.0499 | 0.5 | -0.1899 | -105.7162 | -129.7932 | 0.3036 | 0.2813 | |
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| 0.0182 | 2.1179 | 539 | 0.9166 | -1.4380 | -1.2371 | 0.5 | -0.2010 | -107.5881 | -131.7757 | 0.1946 | 0.1703 | |
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| 0.2002 | 2.4204 | 616 | 0.9190 | -1.5677 | -1.4004 | 0.5 | -0.1673 | -109.2209 | -133.0719 | 0.1338 | 0.1085 | |
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| 0.1982 | 2.7230 | 693 | 0.9352 | -1.7573 | -1.5576 | 0.5 | -0.1997 | -110.7931 | -134.9680 | 0.0983 | 0.0721 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.45.2 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.20.3 |
