--- license: bigscience-bloom-rail-1.0 tags: - generated_from_trainer model-index: - name: bloom-560m-finetuned-common_gen results: [] --- # bloom-560m-finetuned-common_gen 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: 1.3937 ## 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: 1 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 4 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.4819 | 0.38 | 100 | 1.4582 | | 1.2451 | 0.76 | 200 | 1.4247 | | 1.1016 | 1.14 | 300 | 1.4382 | | 0.9724 | 1.53 | 400 | 1.4207 | | 0.9396 | 1.91 | 500 | 1.3949 | ### Framework versions - Transformers 4.22.1 - Pytorch 1.12.1+cu113 - Datasets 2.5.1 - Tokenizers 0.12.1