bloomz-560m-rag-2

This model is a fine-tuned version of bigscience/bloomz-560m on the None 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: 0.001
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 4000

Training results

Framework versions

• PEFT 0.8.2
• Transformers 4.39.3
• Pytorch 2.1.2+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0