--- library_name: transformers tags: - trl - dpo - generated_from_trainer model-index: - name: OpenELM-1_1B-DPO-full-max-8-reward results: [] --- # OpenELM-1_1B-DPO-full-max-8-reward This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.8053 - Rewards/chosen: -14.375 - Rewards/rejected: -16.625 - Rewards/accuracies: 0.6094 - Rewards/margins: 2.2656 - Logps/rejected: -1952.0 - Logps/chosen: -1752.0 - Logits/rejected: 2.8281 - Logits/chosen: 1.2578 ## 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 | |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| | 0.5081 | 0.1047 | 100 | 0.6820 | -1.1406 | -1.3438 | 0.5977 | 0.2031 | -424.0 | -432.0 | -9.75 | -10.1875 | | 0.4521 | 0.2094 | 200 | 0.7579 | -2.8906 | -3.4219 | 0.6465 | 0.5312 | -632.0 | -608.0 | -7.25 | -8.0625 | | 0.4267 | 0.3141 | 300 | 0.7476 | -2.4531 | -2.9688 | 0.5859 | 0.5156 | -584.0 | -564.0 | -13.875 | -14.0 | | 0.4431 | 0.4188 | 400 | 0.7253 | -2.8125 | -3.2812 | 0.625 | 0.4785 | -616.0 | -600.0 | -12.5 | -13.25 | | 0.3779 | 0.5236 | 500 | 0.9411 | -6.125 | -6.9375 | 0.6113 | 0.8164 | -984.0 | -932.0 | -5.0312 | -6.1875 | | 0.404 | 0.6283 | 600 | 0.8501 | -5.2188 | -6.0625 | 0.6152 | 0.8359 | -892.0 | -840.0 | -11.6875 | -12.875 | | 0.3834 | 0.7330 | 700 | 0.8127 | -4.25 | -5.2188 | 0.6270 | 0.9609 | -808.0 | -744.0 | -7.1562 | -8.625 | | 0.3763 | 0.8377 | 800 | 0.8067 | -4.5625 | -5.4062 | 0.6660 | 0.8516 | -828.0 | -772.0 | -5.1562 | -6.8438 | | 0.3462 | 0.9424 | 900 | 0.8712 | -5.0625 | -6.0312 | 0.6172 | 0.9805 | -892.0 | -824.0 | -3.7031 | -5.4375 | | 0.0835 | 1.0471 | 1000 | 1.1523 | -7.9375 | -9.3125 | 0.6074 | 1.3828 | -1216.0 | -1112.0 | -3.2188 | -5.125 | | 0.0895 | 1.1518 | 1100 | 1.3590 | -8.6875 | -10.0 | 0.5898 | 1.3281 | -1288.0 | -1184.0 | -4.375 | -6.375 | | 0.1146 | 1.2565 | 1200 | 1.2844 | -8.3125 | -9.5625 | 0.6055 | 1.2734 | -1248.0 | -1144.0 | 0.7070 | -1.0859 | | 0.102 | 1.3613 | 1300 | 1.1325 | -8.1875 | -9.4375 | 0.6074 | 1.2812 | -1232.0 | -1136.0 | -2.0938 | -4.0625 | | 0.0893 | 1.4660 | 1400 | 1.0034 | -7.75 | -9.0 | 0.6309 | 1.2344 | -1184.0 | -1096.0 | -1.7656 | -3.7344 | | 0.0968 | 1.5707 | 1500 | 1.2212 | -9.625 | -11.25 | 0.5957 | 1.625 | -1416.0 | -1280.0 | -1.1016 | -3.0625 | | 0.082 | 1.6754 | 1600 | 1.2544 | -10.875 | -12.375 | 0.6055 | 1.5156 | -1528.0 | -1408.0 | 1.4609 | -0.2871 | | 0.0972 | 1.7801 | 1700 | 1.1152 | -8.875 | -10.3125 | 0.6055 | 1.4219 | -1320.0 | -1208.0 | -0.2949 | -1.9844 | | 0.1053 | 1.8848 | 1800 | 1.0634 | -7.6875 | -9.125 | 0.6230 | 1.4375 | -1200.0 | -1088.0 | 0.6055 | -1.2656 | | 0.0543 | 1.9895 | 1900 | 1.3391 | -10.625 | -12.25 | 0.6328 | 1.625 | -1512.0 | -1384.0 | 1.1953 | -0.5391 | | 0.0139 | 2.0942 | 2000 | 1.6984 | -12.8125 | -14.8125 | 0.6055 | 1.9922 | -1768.0 | -1600.0 | 1.6562 | -0.1348 | | 0.0268 | 2.1990 | 2100 | 1.6732 | -12.8125 | -14.875 | 0.5996 | 2.0469 | -1776.0 | -1600.0 | 2.0938 | 0.4277 | | 0.0119 | 2.3037 | 2200 | 1.7792 | -13.875 | -16.125 | 0.6191 | 2.2656 | -1904.0 | -1712.0 | 2.6875 | 1.1172 | | 0.0139 | 2.4084 | 2300 | 1.7628 | -13.5 | -15.75 | 0.6055 | 2.2188 | -1864.0 | -1672.0 | 2.6719 | 1.0625 | | 0.0106 | 2.5131 | 2400 | 1.8904 | -14.5625 | -16.875 | 0.6035 | 2.3281 | -1976.0 | -1776.0 | 2.8438 | 1.2656 | | 0.0133 | 2.6178 | 2500 | 1.7945 | -14.125 | -16.375 | 0.6172 | 2.2188 | -1920.0 | -1728.0 | 2.9062 | 1.3438 | | 0.0065 | 2.7225 | 2600 | 1.7784 | -14.125 | -16.375 | 0.6152 | 2.2344 | -1928.0 | -1728.0 | 2.8125 | 1.2578 | | 0.0126 | 2.8272 | 2700 | 1.7995 | -14.3125 | -16.625 | 0.6094 | 2.25 | -1944.0 | -1752.0 | 2.8281 | 1.2734 | | 0.0068 | 2.9319 | 2800 | 1.8053 | -14.375 | -16.625 | 0.6094 | 2.2656 | -1952.0 | -1752.0 | 2.8281 | 1.2578 | ### Framework versions - Transformers 4.44.2 - Pytorch 2.3.0 - Datasets 3.0.0 - Tokenizers 0.19.1