--- library_name: transformers tags: - trl - dpo - generated_from_trainer model-index: - name: OpenELM-1_1B-DPO-full-max-10-reward results: [] --- # OpenELM-1_1B-DPO-full-max-10-reward This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.3938 - Rewards/chosen: -10.0625 - Rewards/rejected: -12.0625 - Rewards/accuracies: 0.6152 - Rewards/margins: 2.0156 - Logps/rejected: -1496.0 - Logps/chosen: -1328.0 - Logits/rejected: 1.9375 - Logits/chosen: 0.4395 ## 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 | |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| | 0.3669 | 0.1047 | 100 | 0.6720 | -1.4219 | -1.75 | 0.5977 | 0.3301 | -464.0 | -460.0 | -13.0 | -13.25 | | 0.3019 | 0.2094 | 200 | 0.7079 | -2.1875 | -2.5469 | 0.5801 | 0.3477 | -544.0 | -536.0 | -8.25 | -8.875 | | 0.2872 | 0.3141 | 300 | 0.9193 | -4.5938 | -5.125 | 0.5508 | 0.5195 | -800.0 | -776.0 | -10.125 | -10.8125 | | 0.2766 | 0.4188 | 400 | 0.7222 | -3.75 | -4.25 | 0.6074 | 0.5156 | -716.0 | -692.0 | -8.0625 | -8.8125 | | 0.2443 | 0.5236 | 500 | 0.8614 | -5.1875 | -6.0938 | 0.6055 | 0.8906 | -896.0 | -836.0 | -4.9375 | -5.875 | | 0.2505 | 0.6283 | 600 | 0.8266 | -4.5 | -5.1875 | 0.5957 | 0.6719 | -808.0 | -768.0 | -4.5938 | -5.6562 | | 0.2305 | 0.7330 | 700 | 0.7984 | -5.375 | -6.25 | 0.6289 | 0.8594 | -912.0 | -856.0 | -3.7031 | -5.0625 | | 0.2384 | 0.8377 | 800 | 0.9506 | -5.875 | -6.625 | 0.5723 | 0.7578 | -952.0 | -904.0 | -3.8281 | -5.0312 | | 0.2003 | 0.9424 | 900 | 0.9553 | -6.8438 | -7.8125 | 0.5938 | 0.9883 | -1072.0 | -1000.0 | -2.5 | -3.75 | | 0.0478 | 1.0471 | 1000 | 1.2033 | -8.1875 | -9.3125 | 0.5996 | 1.1641 | -1224.0 | -1136.0 | -1.9453 | -3.5156 | | 0.0626 | 1.1518 | 1100 | 1.1790 | -8.1875 | -9.6875 | 0.5918 | 1.5156 | -1256.0 | -1136.0 | -1.5781 | -3.2031 | | 0.0518 | 1.2565 | 1200 | 1.1558 | -8.3125 | -9.5 | 0.6016 | 1.2031 | -1240.0 | -1144.0 | -0.2715 | -1.8516 | | 0.0627 | 1.3613 | 1300 | 1.2760 | -8.0625 | -9.4375 | 0.5918 | 1.3672 | -1232.0 | -1120.0 | -0.9414 | -2.4531 | | 0.067 | 1.4660 | 1400 | 1.1144 | -7.625 | -9.0 | 0.6113 | 1.3516 | -1184.0 | -1080.0 | 1.1875 | -0.4336 | | 0.057 | 1.5707 | 1500 | 1.2384 | -8.8125 | -10.25 | 0.5781 | 1.4453 | -1312.0 | -1200.0 | 1.4453 | -0.0266 | | 0.0549 | 1.6754 | 1600 | 1.1039 | -7.875 | -9.1875 | 0.6016 | 1.3047 | -1208.0 | -1104.0 | 1.4922 | -0.0466 | | 0.065 | 1.7801 | 1700 | 1.2125 | -8.1875 | -9.8125 | 0.6055 | 1.6016 | -1272.0 | -1136.0 | 1.5391 | -0.0018 | | 0.0477 | 1.8848 | 1800 | 1.2242 | -8.4375 | -10.0 | 0.6035 | 1.5469 | -1288.0 | -1160.0 | 2.0469 | 0.5508 | | 0.0232 | 1.9895 | 1900 | 1.1594 | -8.125 | -9.6875 | 0.6152 | 1.5938 | -1256.0 | -1128.0 | 1.9297 | 0.4180 | | 0.0025 | 2.0942 | 2000 | 1.2469 | -9.1875 | -11.0 | 0.6035 | 1.8438 | -1392.0 | -1232.0 | 2.0938 | 0.5664 | | 0.0064 | 2.1990 | 2100 | 1.3712 | -10.1875 | -12.1875 | 0.6055 | 1.9844 | -1504.0 | -1336.0 | 2.3281 | 0.8320 | | 0.0068 | 2.3037 | 2200 | 1.2939 | -9.5625 | -11.4375 | 0.6094 | 1.8359 | -1432.0 | -1280.0 | 2.1094 | 0.6328 | | 0.0106 | 2.4084 | 2300 | 1.3934 | -10.375 | -12.375 | 0.6074 | 1.9766 | -1528.0 | -1360.0 | 2.2344 | 0.7539 | | 0.0074 | 2.5131 | 2400 | 1.4226 | -10.4375 | -12.4375 | 0.6152 | 2.0312 | -1536.0 | -1360.0 | 2.125 | 0.6367 | | 0.0055 | 2.6178 | 2500 | 1.4319 | -10.5625 | -12.625 | 0.6152 | 2.0625 | -1552.0 | -1376.0 | 2.1094 | 0.6211 | | 0.0094 | 2.7225 | 2600 | 1.3983 | -10.125 | -12.125 | 0.6152 | 2.0156 | -1504.0 | -1328.0 | 1.9375 | 0.4336 | | 0.0045 | 2.8272 | 2700 | 1.3869 | -10.0 | -12.0 | 0.6133 | 2.0156 | -1488.0 | -1320.0 | 1.9297 | 0.4238 | | 0.0065 | 2.9319 | 2800 | 1.3938 | -10.0625 | -12.0625 | 0.6152 | 2.0156 | -1496.0 | -1328.0 | 1.9375 | 0.4395 | ### Framework versions - Transformers 4.44.2 - Pytorch 2.3.0 - Datasets 3.0.0 - Tokenizers 0.19.1