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centime

PEFT
Safetensors
llama-factory
lora
unsloth
Generated from Trainer
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metadata
library_name: peft
license: other
base_model: unsloth/Llama-3.2-3B-Instruct
tags:
  - llama-factory
  - lora
  - unsloth
  - generated_from_trainer
model-index:
  - name: llm3br256-v1.6.dummy
    results: []

llm3br256-v1.6.dummy

This model is a fine-tuned version of meta-llama/Llama-3.2-3B-Instruct on the centime dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0866

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: 0.0001
  • train_batch_size: 48
  • eval_batch_size: 48
  • seed: 42
  • 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_ratio: 0.1
  • num_epochs: 1

Training results

Framework versions

  • PEFT 0.12.0
  • Transformers 4.46.1
  • Pytorch 2.4.0+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3