--- library_name: transformers license: llama3.2 base_model: meta-llama/Llama-3.2-3B-Instruct tags: - trl - orpo - generated_from_trainer model-index: - name: Echo-IE-3B-v0.1 results: [] --- # Echo-IE-3B-v0.1 This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.1664 - Rewards/chosen: -0.0370 - Rewards/rejected: -0.3280 - Rewards/accuracies: 1.0 - Rewards/margins: 0.2910 - Logps/rejected: -3.2803 - Logps/chosen: -0.3698 - Logits/rejected: 1.0091 - Logits/chosen: 0.9877 - Nll Loss: 0.1600 - Log Odds Ratio: -0.0425 - Log Odds Chosen: 4.2039 ## 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: 6e-06 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 10 - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Nll Loss | Log Odds Ratio | Log Odds Chosen | |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:--------------:|:---------------:| | 0.3327 | 1.0 | 44 | 0.3234 | -0.0664 | -0.1431 | 1.0 | 0.0767 | -1.4309 | -0.6641 | 0.4718 | 0.5480 | 0.2905 | -0.2860 | 1.2590 | | 0.2004 | 2.0 | 88 | 0.2283 | -0.0488 | -0.2296 | 1.0 | 0.1809 | -2.2965 | -0.4877 | 0.6711 | 0.7162 | 0.2142 | -0.1075 | 2.7194 | | 0.1661 | 3.0 | 132 | 0.1974 | -0.0423 | -0.2767 | 1.0 | 0.2344 | -2.7672 | -0.4230 | 0.8238 | 0.8408 | 0.1878 | -0.0679 | 3.4301 | | 0.1227 | 4.0 | 176 | 0.1813 | -0.0392 | -0.2999 | 1.0 | 0.2607 | -2.9992 | -0.3919 | 0.8916 | 0.8935 | 0.1734 | -0.0541 | 3.7906 | | 0.1434 | 5.0 | 220 | 0.1743 | -0.0380 | -0.3141 | 1.0 | 0.2762 | -3.1414 | -0.3799 | 0.9271 | 0.9167 | 0.1671 | -0.0484 | 4.0032 | | 0.0994 | 6.0 | 264 | 0.1697 | -0.0373 | -0.3202 | 1.0 | 0.2828 | -3.2017 | -0.3732 | 0.9822 | 0.9679 | 0.1629 | -0.0453 | 4.0966 | | 0.0896 | 7.0 | 308 | 0.1677 | -0.0371 | -0.3247 | 1.0 | 0.2876 | -3.2469 | -0.3706 | 0.9892 | 0.9698 | 0.1612 | -0.0436 | 4.1599 | | 0.1047 | 8.0 | 352 | 0.1666 | -0.0370 | -0.3268 | 1.0 | 0.2899 | -3.2685 | -0.3695 | 1.0025 | 0.9822 | 0.1602 | -0.0429 | 4.1914 | | 0.0979 | 9.0 | 396 | 0.1662 | -0.0369 | -0.3281 | 1.0 | 0.2911 | -3.2808 | -0.3694 | 1.0120 | 0.9910 | 0.1598 | -0.0426 | 4.2063 | | 0.0986 | 10.0 | 440 | 0.1664 | -0.0370 | -0.3280 | 1.0 | 0.2910 | -3.2803 | -0.3698 | 1.0091 | 0.9877 | 0.1600 | -0.0425 | 4.2039 | ### Framework versions - Transformers 4.44.2 - Pytorch 2.4.1+cu121 - Datasets 3.0.0 - Tokenizers 0.19.1