--- library_name: transformers license: llama3 base_model: tsavage68/IE_L3_1000steps_1e6rate_SFT tags: - trl - dpo - generated_from_trainer model-index: - name: IE_L3_1000steps_1e6rate_03beta_cSFTDPO results: [] --- # IE_L3_1000steps_1e6rate_03beta_cSFTDPO This model is a fine-tuned version of [tsavage68/IE_L3_1000steps_1e6rate_SFT](https://huggingface.co/tsavage68/IE_L3_1000steps_1e6rate_SFT) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.1802 - Rewards/chosen: -1.3199 - Rewards/rejected: -13.3530 - Rewards/accuracies: 0.7400 - Rewards/margins: 12.0331 - Logps/rejected: -120.1372 - Logps/chosen: -87.1973 - Logits/rejected: -0.8052 - Logits/chosen: -0.7124 ## 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: 1e-06 - train_batch_size: 2 - eval_batch_size: 1 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 4 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 100 - training_steps: 1000 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| | 0.1907 | 0.4 | 50 | 0.1802 | -1.0923 | -10.4680 | 0.7400 | 9.3757 | -110.5205 | -86.4386 | -0.7963 | -0.7114 | | 0.1386 | 0.8 | 100 | 0.1802 | -1.2190 | -11.5716 | 0.7400 | 10.3526 | -114.1993 | -86.8611 | -0.7960 | -0.7088 | | 0.1386 | 1.2 | 150 | 0.1802 | -1.2269 | -11.8797 | 0.7400 | 10.6528 | -115.2263 | -86.8875 | -0.7973 | -0.7092 | | 0.1733 | 1.6 | 200 | 0.1802 | -1.2628 | -12.4562 | 0.7400 | 11.1934 | -117.1479 | -87.0072 | -0.7983 | -0.7088 | | 0.2253 | 2.0 | 250 | 0.1802 | -1.2811 | -12.6109 | 0.7400 | 11.3298 | -117.6637 | -87.0682 | -0.8005 | -0.7100 | | 0.1386 | 2.4 | 300 | 0.1802 | -1.2819 | -12.6821 | 0.7400 | 11.4002 | -117.9011 | -87.0709 | -0.8009 | -0.7104 | | 0.1213 | 2.8 | 350 | 0.1802 | -1.2857 | -12.9252 | 0.7400 | 11.6395 | -118.7114 | -87.0834 | -0.8024 | -0.7110 | | 0.1906 | 3.2 | 400 | 0.1802 | -1.2904 | -12.9929 | 0.7400 | 11.7024 | -118.9368 | -87.0992 | -0.8026 | -0.7109 | | 0.1906 | 3.6 | 450 | 0.1802 | -1.2935 | -13.0320 | 0.7400 | 11.7385 | -119.0673 | -87.1095 | -0.8030 | -0.7112 | | 0.2079 | 4.0 | 500 | 0.1802 | -1.3034 | -13.1728 | 0.7400 | 11.8694 | -119.5364 | -87.1423 | -0.8047 | -0.7126 | | 0.156 | 4.4 | 550 | 0.1802 | -1.3085 | -13.2242 | 0.7400 | 11.9157 | -119.7078 | -87.1593 | -0.8035 | -0.7118 | | 0.1213 | 4.8 | 600 | 0.1802 | -1.2992 | -13.2411 | 0.7400 | 11.9418 | -119.7642 | -87.1285 | -0.8054 | -0.7131 | | 0.1906 | 5.2 | 650 | 0.1802 | -1.3144 | -13.3156 | 0.7400 | 12.0011 | -120.0125 | -87.1792 | -0.8048 | -0.7117 | | 0.2426 | 5.6 | 700 | 0.1802 | -1.2925 | -13.3031 | 0.7400 | 12.0106 | -119.9710 | -87.1061 | -0.8043 | -0.7117 | | 0.2599 | 6.0 | 750 | 0.1802 | -1.3084 | -13.3298 | 0.7400 | 12.0213 | -120.0597 | -87.1592 | -0.8052 | -0.7126 | | 0.1213 | 6.4 | 800 | 0.1802 | -1.3118 | -13.3477 | 0.7400 | 12.0359 | -120.1197 | -87.1704 | -0.8039 | -0.7116 | | 0.2426 | 6.8 | 850 | 0.1802 | -1.3228 | -13.3620 | 0.7400 | 12.0392 | -120.1673 | -87.2071 | -0.8052 | -0.7125 | | 0.1733 | 7.2 | 900 | 0.1802 | -1.3137 | -13.3379 | 0.7400 | 12.0242 | -120.0870 | -87.1768 | -0.8052 | -0.7125 | | 0.1386 | 7.6 | 950 | 0.1802 | -1.3070 | -13.3530 | 0.7400 | 12.0460 | -120.1374 | -87.1545 | -0.8053 | -0.7127 | | 0.156 | 8.0 | 1000 | 0.1802 | -1.3199 | -13.3530 | 0.7400 | 12.0331 | -120.1372 | -87.1973 | -0.8052 | -0.7124 | ### Framework versions - Transformers 4.44.2 - Pytorch 2.0.0+cu117 - Datasets 3.0.0 - Tokenizers 0.19.1