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pogny-16-0.00002-fin

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
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pogny-16-0.00002-fin / README.md
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metadata
base_model: klue/roberta-large
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: pogny-16-0.00002-fin
    results: []

pogny-16-0.00002-fin

This model is a fine-tuned version of klue/roberta-large on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9536
  • Accuracy: 0.7376
  • F1: 0.7356

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: 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: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.5528 1.0 4984 0.7147 0.7379 0.7348
0.4059 2.0 9968 0.7925 0.7405 0.7369
0.2572 3.0 14952 0.9536 0.7376 0.7356

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.1.0a0+b5021ba
  • Datasets 2.6.2
  • Tokenizers 0.14.1