--- license: bigscience-bloom-rail-1.0 tags: - generated_from_trainer model-index: - name: bloom-560m-finetuned-unnatural-instructions-6k-steps results: [] --- # bloom-560m-finetuned-unnatural-instructions-6k-steps 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: 1.4037 ## 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: 1 - eval_batch_size: 2 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - training_steps: 6000 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.6758 | 0.32 | 1000 | 1.6487 | | 1.512 | 0.63 | 2000 | 1.5360 | | 1.4658 | 0.95 | 3000 | 1.4580 | | 1.0616 | 1.26 | 4000 | 1.4510 | | 1.0291 | 1.58 | 5000 | 1.4199 | | 0.9906 | 1.89 | 6000 | 1.4037 | ### Framework versions - Transformers 4.25.1 - Pytorch 1.13.0+cu116 - Datasets 2.8.0 - Tokenizers 0.13.2