--- license: apache-2.0 library_name: peft tags: - generated_from_trainer base_model: tiiuae/falcon-7b-instruct model-index: - name: falcon-clf results: [] --- # falcon-clf This model is a fine-tuned version of [tiiuae/falcon-7b-instruct](https://huggingface.co/tiiuae/falcon-7b-instruct) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.1976 ## 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: 0.0002 - train_batch_size: 1 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 8 - total_train_batch_size: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.03 - num_epochs: 2 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.3801 | 0.99 | 77 | 1.2212 | | 1.2524 | 1.98 | 154 | 1.1976 | ### Framework versions - PEFT 0.7.1 - Transformers 4.36.1 - Pytorch 2.0.0+cu117 - Datasets 2.18.0 - Tokenizers 0.15.2