RnD-base-tokenizer-mDeBERTa-v3-kor-further

rroyc20/RnD-base-tokenizer-mDeBERTa-v3-kor-further

RnD-base-tokenizer-mDeBERTa-v3-kor-further is a text classification model from rroyc20. 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. --

Downloads · 30 days

5% of all-time downloads

All-time downloads

408

Public

Repo size

7.8 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.bin1.1 GB · 98%

At a glance

Task: Text Classification
Library: transformers
License: mit
Model type: deberta-v2
Access: Public
Created: Feb 15, 2023
Updated: Feb 15, 2023
SHA: fed58136

Try a prompt

Model card

From the Hugging Face model README

RnD-base-tokenizer-mDeBERTa-v3-kor-further

This model is a fine-tuned version of lighthouse/mdeberta-v3-base-kor-further on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9091
Accuracy: 0.6802

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	1325	0.9586	0.6591
No log	2.0	2650	0.9178	0.6735
No log	3.0	3975	0.9091	0.6802

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2

Task: Text Classification
Library: transformers
Type: deberta-v2
License: mit
Created: Feb 15, 2023
Updated: Feb 15, 2023