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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-0_TTree1.4_TT0.9_TP0.7_TE0.2_V7 |
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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_V7 |
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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: 0.4540 |
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- Rewards/chosen: -1.9538 |
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- Rewards/rejected: -2.8279 |
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- Rewards/accuracies: 0.9000 |
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- Rewards/margins: 0.8741 |
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- Logps/rejected: -178.4166 |
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- Logps/chosen: -140.8054 |
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- Logits/rejected: -0.0659 |
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- Logits/chosen: -0.0598 |
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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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| 0.6759 | 0.3023 | 60 | 0.6970 | 0.0373 | 0.0397 | 0.6000 | -0.0024 | -149.7405 | -120.8940 | 0.4429 | 0.4532 | |
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| 0.6811 | 0.6045 | 120 | 0.6723 | -0.0412 | -0.0677 | 0.5 | 0.0265 | -150.8149 | -121.6795 | 0.4688 | 0.4793 | |
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| 0.5824 | 0.9068 | 180 | 0.6747 | 0.0390 | -0.0060 | 0.8000 | 0.0450 | -150.1981 | -120.8773 | 0.4537 | 0.4631 | |
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| 0.3049 | 1.2091 | 240 | 0.5606 | -0.3769 | -0.6960 | 0.7000 | 0.3191 | -157.0981 | -125.0365 | 0.3873 | 0.3966 | |
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| 0.3915 | 1.5113 | 300 | 0.5289 | -0.4550 | -0.8493 | 0.9000 | 0.3943 | -158.6304 | -125.8171 | 0.3314 | 0.3395 | |
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| 0.476 | 1.8136 | 360 | 0.5109 | -0.7144 | -1.1970 | 0.9000 | 0.4826 | -162.1081 | -128.4113 | 0.2160 | 0.2235 | |
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| 0.1137 | 2.1159 | 420 | 0.5121 | -1.1098 | -1.6334 | 0.8000 | 0.5236 | -166.4716 | -132.3654 | 0.0934 | 0.1001 | |
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| 0.3063 | 2.4181 | 480 | 0.4482 | -1.9206 | -2.8102 | 0.9000 | 0.8895 | -178.2394 | -140.4735 | -0.0433 | -0.0370 | |
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| 0.2409 | 2.7204 | 540 | 0.4540 | -1.9538 | -2.8279 | 0.9000 | 0.8741 | -178.4166 | -140.8054 | -0.0659 | -0.0598 | |
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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 |
