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LBK95
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Llama-2-7b-hf-DPO-LookAhead-5_TTree1.4_TT0.9_TP0.7_TE0.2_V2

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-5_TTree1.4_TT0.9_TP0.7_TE0.2_V2
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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-5_TTree1.4_TT0.9_TP0.7_TE0.2_V2
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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: 1.2147
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+ - Rewards/chosen: -2.3589
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+ - Rewards/rejected: -2.1848
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+ - Rewards/accuracies: 0.3333
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+ - Rewards/margins: -0.1740
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+ - Logps/rejected: -176.9075
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+ - Logps/chosen: -185.7344
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+ - Logits/rejected: -0.3397
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+ - Logits/chosen: -0.3554
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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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+ | 0.7064 | 0.3020 | 77 | 0.7263 | -0.0650 | -0.0237 | 0.5 | -0.0414 | -155.2957 | -162.7962 | 0.2969 | 0.2895 |
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+ | 0.6816 | 0.6039 | 154 | 0.7127 | -0.1015 | -0.1222 | 0.5 | 0.0207 | -156.2813 | -163.1606 | 0.2989 | 0.2915 |
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+ | 0.6192 | 0.9059 | 231 | 0.7010 | -0.0808 | -0.1624 | 0.5833 | 0.0816 | -156.6835 | -162.9536 | 0.2774 | 0.2692 |
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+ | 0.2805 | 1.2078 | 308 | 0.8302 | -0.5931 | -0.6582 | 0.6667 | 0.0651 | -161.6412 | -168.0767 | 0.1922 | 0.1839 |
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+ | 0.3604 | 1.5098 | 385 | 0.8663 | -0.8552 | -0.8899 | 0.5833 | 0.0347 | -163.9578 | -170.6977 | 0.0866 | 0.0775 |
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+ | 0.3524 | 1.8118 | 462 | 0.9587 | -1.3495 | -1.3440 | 0.5 | -0.0055 | -168.4993 | -175.6406 | -0.0538 | -0.0645 |
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+ | 0.2168 | 2.1137 | 539 | 1.0785 | -1.8309 | -1.7601 | 0.5833 | -0.0708 | -172.6597 | -180.4545 | -0.2246 | -0.2382 |
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+ | 0.0395 | 2.4157 | 616 | 1.2284 | -2.4130 | -2.2406 | 0.3333 | -0.1724 | -177.4654 | -186.2757 | -0.3472 | -0.3633 |
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+ | 0.2081 | 2.7176 | 693 | 1.2147 | -2.3589 | -2.1848 | 0.3333 | -0.1740 | -176.9075 | -185.7344 | -0.3397 | -0.3554 |
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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 3.0.2
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+ - Tokenizers 0.19.1