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--- |
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base_model: meta-llama/Llama-2-7b-hf |
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library_name: peft |
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license: llama2 |
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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-0_TTree1.4_TT0.9_TP0.7_TE0.2_V3 |
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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-0_TTree1.4_TT0.9_TP0.7_TE0.2_V3 |
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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: 0.7312 |
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- Rewards/chosen: -2.2500 |
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- Rewards/rejected: -3.0688 |
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- Rewards/accuracies: 0.6667 |
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- Rewards/margins: 0.8189 |
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- Logps/rejected: -156.0040 |
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- Logps/chosen: -95.9953 |
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- Logits/rejected: 0.0075 |
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- Logits/chosen: 0.0375 |
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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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| 0.6606 | 0.3035 | 78 | 0.6743 | 0.0166 | -0.0081 | 0.75 | 0.0247 | -125.3963 | -73.3299 | 0.5935 | 0.6202 | |
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| 0.5493 | 0.6070 | 156 | 0.6634 | -0.1831 | -0.2415 | 0.6667 | 0.0585 | -127.7309 | -75.3266 | 0.5586 | 0.5847 | |
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| 0.5705 | 0.9105 | 234 | 0.5848 | -0.3315 | -0.6168 | 0.6667 | 0.2853 | -131.4834 | -76.8105 | 0.4949 | 0.5208 | |
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| 0.405 | 1.2140 | 312 | 0.5806 | -0.8206 | -1.3076 | 0.5833 | 0.4870 | -138.3913 | -81.7017 | 0.4210 | 0.4471 | |
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| 0.5029 | 1.5175 | 390 | 0.5738 | -1.0140 | -1.5365 | 0.6667 | 0.5225 | -140.6803 | -83.6359 | 0.3256 | 0.3525 | |
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| 0.1719 | 1.8210 | 468 | 0.6151 | -1.3642 | -1.9154 | 0.75 | 0.5512 | -144.4694 | -87.1375 | 0.1929 | 0.2203 | |
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| 0.3565 | 2.1245 | 546 | 0.6575 | -1.6573 | -2.3806 | 0.75 | 0.7233 | -149.1218 | -90.0692 | 0.1075 | 0.1363 | |
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| 0.4206 | 2.4280 | 624 | 0.7578 | -2.2884 | -3.1134 | 0.6667 | 0.8250 | -156.4492 | -96.3796 | 0.0126 | 0.0427 | |
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| 0.3123 | 2.7315 | 702 | 0.7312 | -2.2500 | -3.0688 | 0.6667 | 0.8189 | -156.0040 | -95.9953 | 0.0075 | 0.0375 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 3.0.2 |
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- Tokenizers 0.19.1 |
