deberta-v3-large_v3_mentioned_common_entities

bobbyw/deberta-v3-large_v3_mentioned_common_entities

deberta-v3-large_v3_mentioned_common_entities is a text classification model from bobbyw. 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: Jun 5, 2024
Updated: Jun 6, 2024
SHA: 57f3f643

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Model card

From the Hugging Face model README

deberta-v3-large_v3_mentioned_common_entities

This model is a fine-tuned version of bobbyw/deberta-v3-large_v3_mentioned_common_entities on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1014
Accuracy: 0.0218
F1: 0.0427
Precision: 0.0218
Recall: 1.0
Learning Rate: 0.0

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-06
train_batch_size: 3
eval_batch_size: 3
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Rate
0.1523	1.0	689	0.1039	0.0218	0.0427	0.0218	1.0	0.001
0.1404	2.0	1378	0.1014	0.0218	0.0427	0.0218	1.0	0.0

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1

Task: Text Classification
Library: transformers
Type: deberta-v2
License: mit
Created: Jun 5, 2024
Updated: Jun 6, 2024