Model: niloydebbarma/banglasenti-lora-xlmr
Author: niloydebbarma
Pipeline: text-classification
Library: peft
Tags: peft, pytorch, safetensors, bengali, sentiment-analysis, lora, xlm-roberta, text-classification, google-tpu, benchmarking, emoji, romanized, bn, dataset:niloydebbarma-code/banglasenti-dataset-prep, base_model:FacebookAI/xlm-roberta-base, base_model:adapter:FacebookAI/xlm-roberta-base, doi:10.57967/hf/5978, license:apache-2.0, model-index, region:us
Base models (adapter): id: FacebookAI/xlm-roberta-base
Card metadata: license: apache-2.0
datasets: niloydebbarma-code/banglasenti-dataset-prep
language: bn
metrics: accuracy, f1
base_model: xlm-roberta-base
pipeline_tag: text-classification
library_name: peft
tags: bengali, sentiment-analysis, lora, peft, xlm-roberta, text-classification, google-tpu, benchmarking, emoji, romanized
model-index: name: banglasenti-lora-xlmr
results: task: type: text-classification
name: Sentiment Analysis
dataset: name: BanglaSenti
type: niloydebbarma-code/banglasenti-dataset-prep
metrics: name: Accuracy
type: accuracy
value: 0.807
verified: no, name: F1
type: f1
value: 0.806
verified: no
Likes: 2 | All-time downloads: 106
Created: 2025-07-10 14:56:05