--- license: apache-2.0 library_name: peft tags: - generated_from_trainer base_model: ericzzz/falcon-rw-1b-instruct-openorca model-index: - name: falcon-rw-1b-instruct-openorca-retrained_network_corpus results: [] --- # falcon-rw-1b-instruct-openorca-retrained_network_corpus This model is a fine-tuned version of [ericzzz/falcon-rw-1b-instruct-openorca](https://huggingface.co/ericzzz/falcon-rw-1b-instruct-openorca) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.5152 ## 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: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 32 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 2 - num_epochs: 10 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | 3.7165 | 0.5714 | 1 | 2.1857 | | 1.7689 | 1.7143 | 3 | 1.9718 | | 1.588 | 2.8571 | 5 | 1.7478 | | 1.4636 | 4.0 | 7 | 1.6172 | | 2.7378 | 4.5714 | 8 | 1.5710 | | 0.9276 | 5.7143 | 10 | 1.5152 | ### Framework versions - PEFT 0.11.1 - Transformers 4.41.2 - Pytorch 2.1.2 - Datasets 2.19.2 - Tokenizers 0.19.1