xoyeop's picture
Model save
c325782
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