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mango-32-0.00002-10-fin

Text Classification
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PyTorch
roberta
Generated from Trainer
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mango-32-0.00002-10-fin / README.md
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metadata
base_model: klue/roberta-large
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: mango-32-0.00002-10-fin
    results: []

mango-32-0.00002-10-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: 2.5883
  • Accuracy: 0.6357
  • F1: 0.6324

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: 10

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
No log 1.0 233 1.7759 0.6095 0.6127
No log 2.0 466 1.8463 0.6030 0.5997
0.1567 3.0 699 1.8531 0.6297 0.6194
0.1567 4.0 932 2.0262 0.6183 0.6180
0.11 5.0 1165 2.1822 0.6167 0.6193
0.11 6.0 1398 2.3360 0.6380 0.6294
0.0622 7.0 1631 2.3473 0.6312 0.6286
0.0622 8.0 1864 2.5031 0.6319 0.6283
0.0294 9.0 2097 2.5552 0.6359 0.6315
0.0294 10.0 2330 2.5883 0.6357 0.6324

Framework versions

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