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metadata
license: mit
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: ec_classfication_0502_roberta_base
    results: []

ec_classfication_0502_roberta_base

This model is a fine-tuned version of roberta-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.2218
  • F1: 0.8261

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 15

Training results

Training Loss Epoch Step Validation Loss F1
No log 1.0 59 0.5035 0.6667
No log 2.0 118 0.4384 0.8257
No log 3.0 177 0.4558 0.8172
No log 4.0 236 0.6789 0.8511
No log 5.0 295 0.8515 0.8182
No log 6.0 354 0.9891 0.8172
No log 7.0 413 1.0469 0.8200
No log 8.0 472 1.2050 0.8222
0.177 9.0 531 1.2098 0.8261
0.177 10.0 590 1.2588 0.8132
0.177 11.0 649 1.2539 0.8261
0.177 12.0 708 1.2014 0.8261
0.177 13.0 767 1.2437 0.8261
0.177 14.0 826 1.2202 0.8261
0.177 15.0 885 1.2218 0.8261

Framework versions

  • Transformers 4.27.3
  • Pytorch 2.0.0+cu118
  • Datasets 2.11.0
  • Tokenizers 0.13.2