jhkim12
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DLthon_BERT_double

Text Classification

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text-embeddings-inference

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DLthon_BERT_double

This model is a fine-tuned version of beomi/kcbert-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0000
F1: 1.0

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: 0.0001
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	224	0.0001	1.0
No log	2.0	448	0.0000	1.0
0.0148	3.0	672	0.0000	1.0
0.0148	4.0	896	0.0000	1.0
0.0	5.0	1120	0.0000	1.0

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Tokenizers 0.19.1

Downloads last month: 8

Safetensors

Model size

0.1B params

Tensor type

F32

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