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LBK95
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Llama-2-7b-hf-DPO-LookAhead-0_TTree1.4_TT0.9_TP0.7_TE0.2_V5

PEFT
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trl
dpo
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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_V5
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+ results: []
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+ ---
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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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+
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+ # Llama-2-7b-hf-DPO-LookAhead-0_TTree1.4_TT0.9_TP0.7_TE0.2_V5
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+
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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: 1.0897
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+ - Rewards/chosen: -2.9914
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+ - Rewards/rejected: -2.7155
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+ - Rewards/accuracies: 0.4000
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+ - Rewards/margins: -0.2759
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+ - Logps/rejected: -168.0010
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+ - Logps/chosen: -174.0661
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+ - Logits/rejected: -0.5254
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+ - Logits/chosen: -0.5339
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+ | 0.7826 | 0.2993 | 66 | 0.6590 | 0.0849 | 0.0090 | 0.8000 | 0.0759 | -140.7556 | -143.3033 | 0.0847 | 0.0794 |
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+ | 0.639 | 0.5986 | 132 | 0.6196 | 0.1097 | -0.0511 | 0.9000 | 0.1607 | -141.3567 | -143.0557 | 0.0753 | 0.0696 |
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+ | 0.5359 | 0.8980 | 198 | 0.6393 | 0.0423 | -0.0866 | 0.8000 | 0.1290 | -141.7119 | -143.7288 | 0.0629 | 0.0567 |
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+ | 0.2727 | 1.1973 | 264 | 0.8080 | -1.1508 | -1.3039 | 0.6000 | 0.1532 | -153.8851 | -155.6598 | -0.0274 | -0.0343 |
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+ | 0.3407 | 1.4966 | 330 | 0.6648 | -0.9615 | -1.1845 | 0.7000 | 0.2230 | -152.6907 | -153.7668 | -0.0764 | -0.0838 |
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+ | 0.3991 | 1.7959 | 396 | 0.7534 | -1.2141 | -1.2811 | 0.6000 | 0.0670 | -153.6568 | -156.2932 | -0.1934 | -0.2005 |
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+ | 0.1309 | 2.0952 | 462 | 0.8973 | -1.9586 | -1.8725 | 0.4000 | -0.0861 | -159.5707 | -163.7383 | -0.3197 | -0.3272 |
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+ | 0.0603 | 2.3946 | 528 | 1.0892 | -2.8596 | -2.5458 | 0.3000 | -0.3138 | -166.3034 | -172.7478 | -0.4837 | -0.4920 |
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+ | 0.1481 | 2.6939 | 594 | 1.1046 | -3.0656 | -2.7656 | 0.4000 | -0.2999 | -168.5022 | -174.8080 | -0.5326 | -0.5412 |
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+ | 0.2564 | 2.9932 | 660 | 1.0897 | -2.9914 | -2.7155 | 0.4000 | -0.2759 | -168.0010 | -174.0661 | -0.5254 | -0.5339 |
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+
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+
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+ ### Framework versions
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+
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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 3.1.0
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+ - Tokenizers 0.19.1