--- library_name: transformers tags: - trl - dpo - alignment-handbook - generated_from_trainer model-index: - name: OpenELM-1_1B-DPO-full-max-12-reward results: [] --- # OpenELM-1_1B-DPO-full-max-12-reward This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.0566 - Rewards/chosen: -3.1406 - Rewards/rejected: -3.6719 - Rewards/accuracies: 0.5020 - Rewards/margins: 0.5234 - Logps/rejected: -656.0 - Logps/chosen: -632.0 - Logits/rejected: -16.875 - Logits/chosen: -17.0 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-05 - train_batch_size: 8 - eval_batch_size: 16 - seed: 42 - distributed_type: multi-GPU - num_devices: 4 - gradient_accumulation_steps: 2 - total_train_batch_size: 64 - total_eval_batch_size: 64 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| | 0.0486 | 0.1047 | 100 | 0.7359 | -1.1406 | -1.5078 | 0.5840 | 0.3594 | -438.0 | -432.0 | -12.5625 | -12.75 | | 0.0866 | 0.2094 | 200 | 0.7360 | -1.0156 | -1.1641 | 0.5449 | 0.1436 | -404.0 | -420.0 | -12.6875 | -13.0 | | 0.0814 | 0.3141 | 300 | 0.7622 | -1.7031 | -1.8906 | 0.5234 | 0.1865 | -478.0 | -488.0 | -6.5938 | -7.2812 | | 0.0887 | 0.4188 | 400 | 0.7650 | -1.4688 | -1.5781 | 0.5078 | 0.1094 | -446.0 | -466.0 | -17.25 | -17.125 | | 0.0261 | 0.5236 | 500 | 0.8273 | -1.9766 | -2.1875 | 0.4883 | 0.2119 | -508.0 | -516.0 | -17.25 | -17.25 | | 0.0476 | 0.6283 | 600 | 0.9206 | -2.3594 | -2.7031 | 0.5020 | 0.3359 | -560.0 | -556.0 | -16.125 | -16.375 | | 0.0459 | 0.7330 | 700 | 0.8929 | -2.0938 | -2.3125 | 0.4707 | 0.2148 | -520.0 | -528.0 | -16.5 | -16.5 | | 0.0331 | 0.8377 | 800 | 1.0045 | -3.0938 | -3.3281 | 0.4785 | 0.2207 | -620.0 | -628.0 | -15.125 | -15.4375 | | 0.033 | 0.9424 | 900 | 1.0609 | -3.0625 | -3.3594 | 0.4980 | 0.3047 | -624.0 | -624.0 | -13.4375 | -14.0625 | | 0.0123 | 1.0471 | 1000 | 1.0070 | -2.9531 | -3.2344 | 0.4922 | 0.2871 | -612.0 | -612.0 | -16.375 | -16.375 | | 0.0111 | 1.1518 | 1100 | 0.9948 | -3.0469 | -3.375 | 0.4883 | 0.3340 | -628.0 | -624.0 | -16.125 | -16.25 | | 0.001 | 1.2565 | 1200 | 1.0067 | -2.8438 | -3.2031 | 0.5020 | 0.3555 | -608.0 | -604.0 | -16.25 | -16.375 | | 0.0078 | 1.3613 | 1300 | 0.9639 | -2.3594 | -2.6406 | 0.4824 | 0.2812 | -552.0 | -556.0 | -15.9375 | -16.125 | | 0.0018 | 1.4660 | 1400 | 0.9918 | -2.3281 | -2.6406 | 0.4902 | 0.3027 | -552.0 | -552.0 | -17.0 | -17.0 | | 0.0042 | 1.5707 | 1500 | 0.9647 | -2.4375 | -2.8281 | 0.5059 | 0.3926 | -572.0 | -564.0 | -15.4375 | -15.5625 | | 0.0028 | 1.6754 | 1600 | 1.0578 | -2.9062 | -3.4375 | 0.5039 | 0.5234 | -632.0 | -608.0 | -15.875 | -16.0 | | 0.0074 | 1.7801 | 1700 | 0.8793 | -1.9844 | -2.3281 | 0.5039 | 0.3496 | -520.0 | -516.0 | -16.5 | -16.5 | | 0.0054 | 1.8848 | 1800 | 0.9229 | -2.2812 | -2.7031 | 0.5 | 0.4121 | -560.0 | -548.0 | -16.875 | -17.0 | | 0.0246 | 1.9895 | 1900 | 1.0638 | -2.9219 | -3.4219 | 0.4902 | 0.5039 | -632.0 | -612.0 | -16.75 | -16.875 | | 0.0003 | 2.0942 | 2000 | 1.0745 | -3.0312 | -3.5312 | 0.5020 | 0.4961 | -644.0 | -624.0 | -16.75 | -16.875 | | 0.0006 | 2.1990 | 2100 | 1.1060 | -3.3438 | -3.8906 | 0.5059 | 0.5469 | -676.0 | -652.0 | -16.625 | -16.75 | | 0.0004 | 2.3037 | 2200 | 1.0719 | -3.2031 | -3.7344 | 0.5059 | 0.5391 | -664.0 | -640.0 | -16.75 | -17.0 | | 0.0012 | 2.4084 | 2300 | 1.0952 | -3.3281 | -3.8906 | 0.5020 | 0.5703 | -680.0 | -652.0 | -16.75 | -17.0 | | 0.0003 | 2.5131 | 2400 | 1.0804 | -3.2656 | -3.8125 | 0.5 | 0.5547 | -672.0 | -644.0 | -16.875 | -17.0 | | 0.0005 | 2.6178 | 2500 | 1.0807 | -3.2656 | -3.8125 | 0.5039 | 0.5547 | -672.0 | -644.0 | -16.875 | -17.0 | | 0.0009 | 2.7225 | 2600 | 1.0572 | -3.1406 | -3.6562 | 0.5020 | 0.5234 | -656.0 | -632.0 | -16.875 | -17.0 | | 0.0002 | 2.8272 | 2700 | 1.0559 | -3.1406 | -3.6562 | 0.5039 | 0.5273 | -656.0 | -632.0 | -16.875 | -17.0 | | 0.0002 | 2.9319 | 2800 | 1.0566 | -3.1406 | -3.6719 | 0.5020 | 0.5234 | -656.0 | -632.0 | -16.875 | -17.0 | ### Framework versions - Transformers 4.45.1 - Pytorch 2.3.0 - Datasets 3.0.1 - Tokenizers 0.20.0