llama3-sentiment-amazon2023

innerCircuit/llama3-sentiment-amazon2023

llama3-sentiment-amazon2023 is a machine learning model from innerCircuit. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama3.1.

should probably proofread and complete it, then remove this comment. --

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Repo size

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Hugging Face

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.json17.3 MB · 100%

At a glance

Library: peft
License: llama3.1
Access: Public
Created: Nov 21, 2025
Updated: Nov 21, 2025
SHA: 8fc889be

Base models

meta-llama/Llama-3.1-8B-Instruct

Model card

From the Hugging Face model README

llama3-sentiment-imbalanced

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1547

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: 4
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.2974	0.2667	500	1.1688
1.1894	0.5333	1000	1.1599
1.1979	0.8	1500	1.1547

Framework versions

PEFT 0.13.2
Transformers 4.45.2
Pytorch 2.8.0+cu126
Datasets 2.19.1
Tokenizers 0.20.3

Library: peft
License: llama3.1
Created: Nov 21, 2025
Updated: Nov 21, 2025