--- license: other library_name: peft tags: - trl - reward-trainer - generated_from_trainer base_model: google/gemma-2b metrics: - accuracy model-index: - name: gemma_2b_social_reasoning_reward_model results: [] --- # gemma_2b_social_reasoning_reward_model This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.6131 - Accuracy: 0.6713 ## 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: 0.0005 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 64 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 10 - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.7962 | 0.24 | 10 | 0.6976 | 0.6077 | | 0.6657 | 0.48 | 20 | 0.6464 | 0.6217 | | 0.6334 | 0.72 | 30 | 0.6330 | 0.6392 | | 0.6434 | 0.96 | 40 | 0.6218 | 0.6427 | | 0.5745 | 1.2 | 50 | 0.6119 | 0.6567 | | 0.5813 | 1.44 | 60 | 0.6282 | 0.6445 | | 0.5822 | 1.68 | 70 | 0.6350 | 0.6585 | | 0.5914 | 1.92 | 80 | 0.6294 | 0.6550 | | 0.5386 | 2.16 | 90 | 0.6341 | 0.6550 | | 0.5142 | 2.4 | 100 | 0.6330 | 0.6567 | | 0.4906 | 2.63 | 110 | 0.6313 | 0.6620 | | 0.5079 | 2.87 | 120 | 0.6309 | 0.6637 | ### Framework versions - PEFT 0.9.0 - Transformers 4.38.2 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2