--- license: bigscience-bloom-rail-1.0 tags: - generated_from_trainer model-index: - name: bloom-560m-finetuned-liability results: [] --- # bloom-560m-finetuned-liability This model is a fine-tuned version of [bigscience/bloom-560m](https://huggingface.co/bigscience/bloom-560m) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.1486 ## 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: 2e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 0.5359 | 1.0 | 524 | 0.2425 | | 0.1736 | 2.0 | 1048 | 0.1741 | | 0.1045 | 3.0 | 1572 | 0.1550 | | 0.0745 | 4.0 | 2096 | 0.1486 | | 0.0549 | 5.0 | 2620 | 0.1486 | ### Framework versions - Transformers 4.27.4 - Pytorch 2.0.0+cu118 - Datasets 2.11.0 - Tokenizers 0.13.3