--- license: bigscience-bloom-rail-1.0 base_model: bigscience/bloomz-560m tags: - generated_from_trainer model-index: - name: bloomz-560m_fine_lr0.05_bs10_epoch5_wd0.01 results: [] --- # bloomz-560m_fine_lr0.05_bs10_epoch5_wd0.01 This model is a fine-tuned version of [bigscience/bloomz-560m](https://huggingface.co/bigscience/bloomz-560m) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 220.0167 ## 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: 0.05 - train_batch_size: 10 - eval_batch_size: 10 - 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 | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 63 | 200.9191 | | 155.6973 | 2.0 | 126 | 311.3371 | | 155.6973 | 3.0 | 189 | 256.3193 | | 269.4904 | 4.0 | 252 | 291.8558 | | 273.0994 | 5.0 | 315 | 220.0167 | ### Framework versions - Transformers 4.36.2 - Pytorch 2.0.1 - Datasets 2.16.1 - Tokenizers 0.15.0