--- license: bigscience-bloom-rail-1.0 library_name: peft tags: - generated_from_trainer base_model: bigscience/bloomz-1b1 model-index: - name: bloomz-1b1_adalora_627_lr5e-05_bs4_epoch5_wd0.01 results: [] --- # bloomz-1b1_adalora_627_lr5e-05_bs4_epoch5_wd0.01 This model is a fine-tuned version of [bigscience/bloomz-1b1](https://huggingface.co./bigscience/bloomz-1b1) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 3.2440 ## 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: 5e-05 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 500 - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 5.0291 | 1.0 | 157 | 4.5495 | | 4.582 | 2.0 | 314 | 4.0083 | | 4.1412 | 3.0 | 471 | 3.5810 | | 3.6919 | 4.0 | 628 | 3.3076 | | 3.5125 | 5.0 | 785 | 3.2440 | ### Framework versions - PEFT 0.7.1 - Transformers 4.36.2 - Pytorch 2.0.1 - Datasets 2.16.1 - Tokenizers 0.15.0