qwen-1_5-1_8B_sft_dolly_loRA

This model is a fine-tuned version of Qwen/Qwen1.5-1.8B on databricks/databricks-dolly-15k.

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

databricks/databricks-dolly-15k

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 2
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.05
• training_steps: 593

Framework versions

• PEFT 0.11.1
• Transformers 4.41.2
• Pytorch 2.1.0.post0+cxx11.abi
• Datasets 2.19.1
• Tokenizers 0.19.1