--- license: bigscience-bloom-rail-1.0 base_model: bigscience/bloom-560m tags: - generated_from_trainer model-index: - name: finetuned_bloom_trained_model_bangladataset results: [] --- # finetuned_bloom_trained_model_bangladataset 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: 2.8031 ## 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: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 2.7731 | 1.0 | 10044 | 2.7881 | | 2.4222 | 2.0 | 20088 | 2.7370 | | 2.1122 | 3.0 | 30132 | 2.8031 | ### Framework versions - Transformers 4.34.0.dev0 - Pytorch 2.0.1+cu117 - Datasets 2.12.0 - Tokenizers 0.14.0