--- 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: 2.2760 ## 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: 1 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 4 - 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 | |:-------------:|:-----:|:----:|:---------------:| | 2.7365 | 1.0 | 28 | 2.3320 | | 2.168 | 2.0 | 56 | 2.2760 | | 1.6924 | 3.0 | 84 | 2.3573 | | 1.3009 | 4.0 | 112 | 2.5144 | | 0.9766 | 5.0 | 140 | 2.6490 | | 0.7231 | 6.0 | 168 | 2.8329 | | 0.5182 | 7.0 | 196 | 2.9785 | | 0.3657 | 8.0 | 224 | 3.1339 | | 0.2583 | 9.0 | 252 | 3.2338 | | 0.1988 | 10.0 | 280 | 3.3063 | ### Framework versions - PEFT 0.11.1 - Transformers 4.41.2 - Pytorch 2.1.2 - Datasets 2.19.2 - Tokenizers 0.19.1