checkpoints / README.md
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archit11/qwen-finetuned-model
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metadata
library_name: peft
license: apache-2.0
base_model: unsloth/Qwen3-4B-Base
tags:
  - unsloth
  - generated_from_trainer
model-index:
  - name: checkpoints
    results: []

checkpoints

This model is a fine-tuned version of unsloth/Qwen3-4B-Base 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: 2e-05
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 16
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 5
  • training_steps: 10

Training results

Framework versions

  • PEFT 0.15.2
  • Transformers 4.52.4
  • Pytorch 2.6.0+cu124
  • Datasets 3.6.0
  • Tokenizers 0.21.1