Vishy08/product-pricer-08-12-2025_04.35.08

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>

product-pricer-08-12-2025_04.35.08

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-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: 0.0001
• —trainbatchsize: 12
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 24
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 1

Framework versions

• —PEFT 0.14.0
• —Transformers 4.48.3
• —Pytorch 2.5.1+cu124
• —Datasets 4.4.1
• —Tokenizers 0.21.4