--- license: bigscience-bloom-rail-1.0 base_model: bigscience/bloomz-560m tags: - generated_from_trainer model-index: - name: bloomz-560m_fine_lr0.0005_bs10_epoch5_wd0.01 results: [] --- # bloomz-560m_fine_lr0.0005_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: 7.6816 ## 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: 0.0005 - 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 | 4.3998 | | 3.3093 | 2.0 | 126 | 5.4109 | | 3.3093 | 3.0 | 189 | 14.7274 | | 3.2195 | 4.0 | 252 | 7.4367 | | 2.4579 | 5.0 | 315 | 7.6816 | ### Framework versions - Transformers 4.36.2 - Pytorch 2.0.1 - Datasets 2.16.1 - Tokenizers 0.15.0