metadata

license: apache-2.0
base_model: monologg/koelectra-base-v3-discriminator
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
model-index:
  - name: koelectra-base-v3-discriminator-KEmoFact-EFE-0927
    results: []

koelectra-base-v3-discriminator-KEmoFact-EFE-0927

This model is a fine-tuned version of monologg/koelectra-base-v3-discriminator on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5635
Precision: 0.3754
Recall: 0.4417
F1: 0.4058
Ov Accuracy: 0.8248
Jaccard: 0.7349

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: 5e-05
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	Precision	Recall	F1	Ov Accuracy	Jaccard
No log	1.0	414	0.4083	0.3175	0.3909	0.3504	0.8258	0.6953
0.4405	2.0	828	0.4039	0.3208	0.4078	0.3591	0.8256	0.7080
0.3005	3.0	1242	0.4682	0.3448	0.4123	0.3755	0.8251	0.7108
0.207	4.0	1656	0.5329	0.3451	0.4218	0.3797	0.8207	0.7076
0.1468	5.0	2070	0.5888	0.3456	0.4235	0.3806	0.8182	0.7093

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3