--- base_model: asas-ai/bloom_7B_8bit tags: - generated_from_trainer model-index: - name: bloom_7B_4bit_qlora_flores results: [] --- # bloom_7B_4bit_qlora_flores This model is a fine-tuned version of [asas-ai/bloom_7B_8bit](https://huggingface.co/asas-ai/bloom_7B_8bit) on an unknown dataset. ## 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: 0.0002 - train_batch_size: 4 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: constant - lr_scheduler_warmup_ratio: 0.03 - training_steps: 2200 ### Training results ### Framework versions - Transformers 4.34.0 - Pytorch 2.1.0+cu121 - Datasets 2.4.0 - Tokenizers 0.14.1