deberta-v3-small-fine-Disaster-Tweets-Part2

victorbahlangene/deberta-v3-small-fine-Disaster-Tweets-Part2

deberta-v3-small-fine-Disaster-Tweets-Part2 is a text classification model from victorbahlangene. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.

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

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At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: deberta-v2
Access: Public
Created: Oct 30, 2022
Updated: Oct 30, 2022
SHA: 2862af9c

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Model card

From the Hugging Face model README

deberta-v3-small-fine-Disaster-Tweets-Part2

This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4849
Accuracy: 0.8275
F1: 0.8278

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: 8e-05
train_batch_size: 32
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
No log	1.0	203	0.4670	0.8511	0.8503
No log	2.0	406	0.4381	0.8459	0.8455
0.4016	3.0	609	0.4096	0.8424	0.8413
0.4016	4.0	812	0.4849	0.8275	0.8278

Framework versions

Transformers 4.23.1
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.1

Task: Text Classification
Library: transformers
Type: deberta-v2
License: mit
Created: Oct 30, 2022
Updated: Oct 30, 2022