deberta_large_finetuned_claimdecomp

gavulsim/deberta_large_finetuned_claimdecomp

deberta_large_finetuned_claimdecomp is a text classification model from gavulsim. 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
Access: Public
Created: Oct 27, 2023
Updated: Oct 31, 2023
SHA: 9c5b89ab

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Base models

microsoft/deberta-large

Model card

From the Hugging Face model README

deberta_large_finetuned_claimdecomp

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

Loss: 1.7614
Accuracy: 0.205

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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 30000

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.7304	50.0	5000	1.7493	0.255
1.7282	100.0	10000	1.7495	0.205
1.7196	150.0	15000	1.7457	0.255
1.7107	200.0	20000	1.7462	0.255
1.7107	250.0	25000	1.7666	0.205
1.6992	300.0	30000	1.7614	0.205

Framework versions

Transformers 4.34.1
Pytorch 2.0.0
Datasets 2.14.5
Tokenizers 0.14.1

Task: Text Classification
Library: transformers
Type: deberta
License: mit
Created: Oct 27, 2023
Updated: Oct 31, 2023