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metadata
library_name: peft
license: apache-2.0
base_model: unsloth/Qwen2.5-1.5B-Instruct
tags:
  - unsloth
  - trl
  - sft
  - generated_from_trainer
model-index:
  - name: unsloth-gemma-glaive-function-calling
    results: []

Visualize in Weights & Biases

unsloth-gemma-glaive-function-calling

This model is a fine-tuned version of unsloth/Qwen2.5-1.5B-Instruct 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: 2
  • eval_batch_size: 8
  • seed: 3407
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 5
  • training_steps: 60
  • mixed_precision_training: Native AMP

Framework versions

  • PEFT 0.14.0
  • Transformers 4.46.3
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.20.3