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metadata
license: other
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
  - ipex
  - intel
  - max gpu 1550
base_model: Qwen/Qwen1.5-1.8B
model-index:
  - name: qwen-1_5-1_8B_sft_dolly_loRA
    results: []
datasets:
  - databricks/databricks-dolly-15k

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