TheKingMonarch/fine-tuned-model-name

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Model Details

Model Description

This is a "meta-llama/Meta-Llama-3.1-8B" model finetuned on "McAuley-Lab/Amazon-Reviews-2023" dataset. This model aims to predict the price given the product information is passed to it.

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• Finetuned from model [optional]: ["meta-llama/Meta-Llama-3.1-8B"]

Direct Use

pass the product description and the model will try its best to predict the price of the product.

Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

"McAuley-Lab/Amazon-Reviews-2023" was the training data used.

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

-Hyperparameters for QLORA:

LORA_R = 32

LORA_ALPHA = 64

TARGET_MODULES = ["q_proj", "v_proj", "k_proj", "o_proj"]

LORA_DROPOUT = 0.1

QUANT_4_BIT = True

-Hyperparameters for training EPOCHS = 3

BATCH_SIZE = 16

GRADIENT_ACCUMULATION_STEPS = 1

LEARNING_RATE = 1e-4

LR_SCHEDULER_TYPE = 'cosine'

WARMUP_RATIO = 0.03

OPTIMIZER = "paged_adamw_32bit"

Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Software

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Citation [optional]

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