bert-sentiment-finetuned

Warrior1110/bert-sentiment-finetuned

bert-sentiment-finetuned is a text classification model from Warrior1110. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.

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

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At a glance

Task: Text Classification
Library: transformers
License: apache-2.0
Model type: bert
Access: Public
Created: Apr 22, 2026
Updated: Apr 22, 2026
SHA: 63bf6d81

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Base models

Model card

From the Hugging Face model README

my_bert_sentiment_model

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2659
Accuracy: 0.896

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	125	0.2659	0.896
No log	2.0	250	0.3299	0.89
No log	3.0	375	0.3378	0.908

Framework versions

Transformers 4.44.2
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Apr 22, 2026
Updated: Apr 22, 2026