# Low-loss model
Modernbert Base Ft Financial News Sentiment Analysis 2
Apache-2.0
Financial news sentiment analysis model fine-tuned based on ModernBERT-base, achieving an F1 score of 0.9765 on the evaluation set
Text Classification
Transformers

M
mrm8488
28
1
Metadata Cls 15 10
This model is a text classification model fine-tuned on an unknown dataset based on PhoBERT-base-v2. It achieved an accuracy of 99.67% and an F1 score of 99.32% on the evaluation set.
Text Classification
Transformers

M
gechim
1,910
1
Wavlm Base Deepfake V2
A speech processing model fine-tuned based on microsoft/wavLM-base, achieving 99.62% accuracy on the evaluation set
Audio Classification
Transformers

W
DavidCombei
113
0
Speechcommand Demo
Apache-2.0
A fine-tuned voice command classification model based on facebook/wav2vec2-base, trained on the superb dataset with an accuracy of 98.09%
Audio Classification
Transformers

S
SHENMU007
18
0
Trillsson3 Ft Keyword Spotting 13
Audio classification model based on TRillsson3 architecture, fine-tuned on the superb dataset for keyword spotting tasks
Audio Classification
Transformers

T
vumichien
32
0
Electra Base Discriminator Finetuned Conll03 English
Apache-2.0
A named entity recognition model based on the ELECTRA architecture, fine-tuned on the CoNLL-2003 English dataset for token classification tasks.
Sequence Labeling English
E
bhadresh-savani
99
0
Autonlp Imdb Sentiment Analysis English 470512388
This is a binary classification model trained with AutoNLP, specifically designed for sentiment analysis of English text.
Text Classification
Transformers English

A
yosemite
59
2
Twitter Emotion Deberta V3 Base
Apache-2.0
A text sentiment classification model fine-tuned on DeBERTa-v3, performing excellently on the emotion dataset.
Text Classification
Transformers

T
Emanuel
110
7
Bertjewdialdataall03
A fine-tuned version of the GroNLP/bert-base-dutch-cased model on Dutch language datasets
Large Language Model
Transformers

B
Jeska
21
0
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