--- license: apache-2.0 library_name: peft tags: - generated_from_trainer metrics: - accuracy base_model: EleutherAI/gpt-j-6b model-index: - name: trl_rm_tldr_gptj results: [] --- # trl_rm_tldr_gptj This model is a fine-tuned version of [EleutherAI/gpt-j-6b](https://huggingface.co/EleutherAI/gpt-j-6b) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.6624 - Accuracy: 0.6857 ## 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: 1.41e-05 - train_batch_size: 4 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 0.5633 | 1.0 | 22660 | 0.6624 | 0.6857 | ### Framework versions - PEFT 0.7.1.dev0 - Transformers 4.36.2 - Pytorch 2.1.2 - Datasets 2.15.0 - Tokenizers 0.15.0