EmoCentricSarcBERT27FebRstate97

Vandita/EmoCentricSarcBERT27FebRstate97

EmoCentricSarcBERT27FebRstate97 is a text classification model from Vandita. 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: Feb 27, 2026
Updated: Feb 27, 2026
SHA: cc2fd3c4

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Base models

Model card

From the Hugging Face model README

EmoCentricSarcBERT27FebRstate97

This model is a fine-tuned version of bert-base-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.8018
Accuracy: 0.8829
Precision: 0.8654
Recall: 0.8284
F1: 0.8465
Mcc: 0.7524
Roc Auc: 0.9554

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: 32
eval_batch_size: 32
seed: 42
distributed_type: tpu
optimizer: Use OptimizerNames.ADAMW_TORCH_XLA with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1	Mcc	Roc Auc
0.3918	1.0	735	0.3039	0.8633	0.8431	0.7978	0.8198	0.7106	0.9433
0.2766	2.0	1470	0.3133	0.8664	0.9114	0.7279	0.8094	0.7192	0.9551
0.1459	3.0	2205	0.3325	0.8746	0.8706	0.7965	0.8319	0.7340	0.9548
0.1155	4.0	2940	0.4817	0.8747	0.8273	0.8576	0.8422	0.7387	0.9518
0.0629	5.0	3675	0.5622	0.8819	0.8739	0.8144	0.8431	0.7498	0.9539
0.0476	6.0	4410	0.6410	0.8814	0.8727	0.8144	0.8426	0.7487	0.9534
0.0349	7.0	5145	0.6857	0.8826	0.8872	0.8004	0.8416	0.7512	0.9543
0.0292	8.0	5880	0.7575	0.8860	0.8695	0.8323	0.8505	0.7589	0.9545
0.0215	9.0	6615	0.7781	0.8826	0.8626	0.8310	0.8465	0.7518	0.9546
0.0155	10.0	7350	0.8018	0.8829	0.8654	0.8284	0.8465	0.7524	0.9554

Framework versions

Transformers 5.0.0
Pytorch 2.9.0+cpu
Datasets 4.5.0
Tokenizers 0.22.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Feb 27, 2026
Updated: Feb 27, 2026