bert-base-multilingual-cased-finetuned Open-source Model - Free for Multilingual Text Processing Tasks

Bert Base Multilingual Cased Finetuned

Developed by am-shb

This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset, primarily used for multilingual text processing tasks.

Large Language Model

Transformers

#Multilingual BERT fine-tuning #Text classification optimization #Low-resource adaptation

Downloads 17

Release Time : 3/2/2022

Model Overview

This is a fine-tuned model based on the bert-base-multilingual-cased architecture, suitable for multilingual text processing tasks, but its specific uses and functionalities require further clarification.

Model Features

Multilingual support

Based on the bert-base-multilingual-cased architecture, it supports processing in multiple languages.

Efficient fine-tuning

Uses a relatively small batch size (12) and gradient accumulation (2) for efficient training.

Model Capabilities

Multilingual text processing

Text feature extraction

Use Cases

Text processing

Multilingual text classification

May be suitable for multilingual text classification tasks

Property	Details
learning_rate	5e - 05
train_batch_size	12
eval_batch_size	16
seed	1337
gradient_accumulation_steps	2
total_train_batch_size	24
optimizer	Adam with betas=(0.9,0.999) and epsilon = 1e - 08
lr_scheduler_type	linear
num_epochs	3.0

Property	Details
Transformers	4.11.2
Pytorch	1.10.0
Datasets	1.8.0
Tokenizers	0.10.3

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Bert Base Multilingual Cased Finetuned

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