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thorirhrafn
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llama_DPO_model_e3

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dpo
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+ ---
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+ license: llama2
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+ library_name: peft
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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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+ base_model: meta-llama/Llama-2-7b-hf
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+ model-index:
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+ - name: llama_DPO_model_e3
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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_DPO_model_e3
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0722
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+ - Rewards/chosen: 0.4618
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+ - Rewards/rejected: -2.3246
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+ - Rewards/accuracies: 1.0
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+ - Rewards/margins: 2.7864
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+ - Logps/rejected: -208.0558
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+ - Logps/chosen: -156.0157
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+ - Logits/rejected: -1.0512
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+ - Logits/chosen: -0.8590
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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: 7e-07
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 8
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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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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+ | 0.675 | 0.1 | 25 | 0.6531 | 0.0248 | -0.0584 | 0.8667 | 0.0832 | -185.3936 | -160.3859 | -1.0523 | -0.8549 |
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+ | 0.5865 | 0.2 | 50 | 0.5720 | 0.0730 | -0.1895 | 0.9933 | 0.2625 | -186.7048 | -159.9039 | -1.0525 | -0.8552 |
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+ | 0.5203 | 0.3 | 75 | 0.4808 | 0.1258 | -0.3673 | 1.0 | 0.4931 | -188.4825 | -159.3763 | -1.0520 | -0.8543 |
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+ | 0.4291 | 0.4 | 100 | 0.3986 | 0.1804 | -0.5547 | 1.0 | 0.7352 | -190.3568 | -158.8295 | -1.0527 | -0.8559 |
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+ | 0.3712 | 0.5 | 125 | 0.3264 | 0.2303 | -0.7594 | 1.0 | 0.9897 | -192.4033 | -158.3308 | -1.0528 | -0.8572 |
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+ | 0.2856 | 0.6 | 150 | 0.2612 | 0.2765 | -0.9893 | 1.0 | 1.2658 | -194.7025 | -157.8685 | -1.0531 | -0.8592 |
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+ | 0.2433 | 0.7 | 175 | 0.2086 | 0.3223 | -1.2201 | 1.0 | 1.5424 | -197.0102 | -157.4110 | -1.0526 | -0.8573 |
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+ | 0.1822 | 0.79 | 200 | 0.1673 | 0.3627 | -1.4385 | 1.0 | 1.8012 | -199.1950 | -157.0071 | -1.0529 | -0.8606 |
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+ | 0.1511 | 0.89 | 225 | 0.1354 | 0.3921 | -1.6585 | 1.0 | 2.0506 | -201.3948 | -156.7133 | -1.0522 | -0.8601 |
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+ | 0.1211 | 0.99 | 250 | 0.1134 | 0.4119 | -1.8492 | 1.0 | 2.2612 | -203.3017 | -156.5144 | -1.0526 | -0.8591 |
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+ | 0.113 | 1.09 | 275 | 0.0999 | 0.4261 | -1.9792 | 1.0 | 2.4054 | -204.6017 | -156.3724 | -1.0511 | -0.8578 |
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+ | 0.087 | 1.19 | 300 | 0.0912 | 0.4374 | -2.0704 | 1.0 | 2.5078 | -205.5134 | -156.2602 | -1.0521 | -0.8612 |
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+ | 0.0808 | 1.29 | 325 | 0.0846 | 0.4439 | -2.1510 | 1.0 | 2.5949 | -206.3199 | -156.1949 | -1.0515 | -0.8600 |
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+ | 0.0875 | 1.39 | 350 | 0.0814 | 0.4537 | -2.1942 | 1.0 | 2.6479 | -206.7517 | -156.0968 | -1.0520 | -0.8589 |
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+ | 0.0826 | 1.49 | 375 | 0.0785 | 0.4559 | -2.2325 | 1.0 | 2.6884 | -207.1346 | -156.0752 | -1.0516 | -0.8585 |
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+ | 0.0717 | 1.59 | 400 | 0.0768 | 0.4564 | -2.2611 | 1.0 | 2.7175 | -207.4205 | -156.0697 | -1.0517 | -0.8595 |
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+ | 0.0694 | 1.69 | 425 | 0.0750 | 0.4602 | -2.2778 | 1.0 | 2.7380 | -207.5878 | -156.0322 | -1.0516 | -0.8590 |
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+ | 0.0809 | 1.79 | 450 | 0.0739 | 0.4647 | -2.2925 | 1.0 | 2.7572 | -207.7341 | -155.9865 | -1.0514 | -0.8586 |
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+ | 0.0747 | 1.89 | 475 | 0.0736 | 0.4595 | -2.3075 | 1.0 | 2.7670 | -207.8848 | -156.0394 | -1.0515 | -0.8584 |
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+ | 0.0751 | 1.99 | 500 | 0.0726 | 0.4643 | -2.3130 | 1.0 | 2.7773 | -207.9396 | -155.9911 | -1.0516 | -0.8589 |
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+ | 0.069 | 2.09 | 525 | 0.0725 | 0.4608 | -2.3223 | 1.0 | 2.7831 | -208.0324 | -156.0257 | -1.0512 | -0.8598 |
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+ | 0.0658 | 2.19 | 550 | 0.0724 | 0.4670 | -2.3178 | 1.0 | 2.7847 | -207.9872 | -155.9642 | -1.0514 | -0.8580 |
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+ | 0.0659 | 2.29 | 575 | 0.0720 | 0.4650 | -2.3217 | 1.0 | 2.7867 | -208.0269 | -155.9841 | -1.0516 | -0.8592 |
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+ | 0.0732 | 2.38 | 600 | 0.0725 | 0.4585 | -2.3236 | 1.0 | 2.7821 | -208.0455 | -156.0485 | -1.0511 | -0.8591 |
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+ | 0.0802 | 2.48 | 625 | 0.0723 | 0.4611 | -2.3249 | 1.0 | 2.7859 | -208.0582 | -156.0233 | -1.0511 | -0.8582 |
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+ | 0.0734 | 2.58 | 650 | 0.0723 | 0.4646 | -2.3213 | 1.0 | 2.7859 | -208.0227 | -155.9879 | -1.0510 | -0.8591 |
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+ | 0.068 | 2.68 | 675 | 0.0723 | 0.4627 | -2.3230 | 1.0 | 2.7857 | -208.0397 | -156.0069 | -1.0512 | -0.8585 |
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+ | 0.0708 | 2.78 | 700 | 0.0720 | 0.4617 | -2.3278 | 1.0 | 2.7895 | -208.0874 | -156.0165 | -1.0508 | -0.8592 |
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+ | 0.0621 | 2.88 | 725 | 0.0719 | 0.4613 | -2.3296 | 1.0 | 2.7909 | -208.1059 | -156.0208 | -1.0511 | -0.8585 |
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+ | 0.0708 | 2.98 | 750 | 0.0722 | 0.4618 | -2.3246 | 1.0 | 2.7864 | -208.0558 | -156.0157 | -1.0512 | -0.8590 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.8.2
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+ - Transformers 4.38.1
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+ - Pytorch 2.2.0+cu118
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+ - Datasets 2.17.1
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+ - Tokenizers 0.15.2