norbert2_sentiment_norec_4

NTCAL/norbert2_sentiment_norec_4

norbert2_sentiment_norec_4 is a text classification model from NTCAL. 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: Mar 3, 2023
Updated: Mar 3, 2023
SHA: 2d14657f

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Model card

From the Hugging Face model README

norbert2_sentiment_norec_4

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

Loss: 0.6321

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: 5e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.6045	1.0	5	0.4872
0.8062	2.0	10	0.5176
0.6392	3.0	15	0.6355
0.2681	4.0	20	0.6321

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu117
Datasets 2.9.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: bert
License: apache-2.0
Created: Mar 3, 2023
Updated: Mar 3, 2023