IceBERT-finetuned-iec-sentence-bs16

vesteinn/IceBERT-finetuned-iec-sentence-bs16

IceBERT-finetuned-iec-sentence-bs16 is a text classification model from vesteinn. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as gpl-3.0.

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

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vesteinn/IceBERT

Model card

From the Hugging Face model README

IceBERT-finetuned-iec-sentence-bs16

This model is a fine-tuned version of vesteinn/IceBERT on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2508
Matthews Correlation: 0.8169

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Matthews Correlation
0.5278	1.0	3640	0.4777	0.5396
0.4648	2.0	7280	0.3886	0.6437
0.3807	3.0	10920	0.3478	0.7060
0.3061	4.0	14560	0.2523	0.8083
0.2477	5.0	18200	0.2508	0.8169

Framework versions

Transformers 4.12.3
Pytorch 1.8.0
Datasets 1.15.1
Tokenizers 0.10.3

Task: Text Classification
Library: transformers
Type: roberta
License: gpl-3.0
Created: Mar 2, 2022
Updated: Jan 20, 2025