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pogny-32-0.00005-fin

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Inference Endpoints
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pogny-32-0.00005-fin / README.md
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metadata
base_model: klue/roberta-large
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: pogny-32-0.00005-fin
    results: []

pogny-32-0.00005-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: 1.2783
  • Accuracy: 0.7262
  • F1: 0.7244

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: 64
  • eval_batch_size: 64
  • 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
0.2594 1.0 2492 0.9806 0.7277 0.7255
0.1776 2.0 4984 1.1612 0.7260 0.7243
0.1292 3.0 7476 1.2783 0.7262 0.7244

Framework versions

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