Hugging Face's logo

Enyonam
/
roberta-base-Roberta-Model

Text Classification
Transformers
PyTorch
roberta
Generated from Trainer
Inference Endpoints
Model card Files Community
1
roberta-base-Roberta-Model / README.md
Enyonam's picture
Enyonam
End of training
f593f7e
preview code
|
raw
history blame
2.42 kB
metadata
license: mit
base_model: roberta-base
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: roberta-base-Roberta-Model
    results: []

roberta-base-Roberta-Model

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

  • Loss: 0.7350
  • F1: 0.6663

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: 8
  • eval_batch_size: 8
  • 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 F1
0.8512 0.5 500 0.7909 0.6405
0.7992 1.0 1000 0.8753 0.6407
0.7667 1.5 1500 0.7786 0.6428
0.7583 2.01 2000 0.7407 0.6593
0.7415 2.51 2500 0.7564 0.6555
0.7337 3.01 3000 0.7536 0.6526
0.7224 3.51 3500 0.7777 0.6126
0.7067 4.01 4000 0.7790 0.6552
0.6693 4.51 4500 0.7497 0.6665
0.6744 5.02 5000 0.7350 0.6663
0.6546 5.52 5500 0.7865 0.6714
0.6725 6.02 6000 0.7639 0.6721
0.6361 6.52 6500 0.7780 0.6917
0.6268 7.02 7000 0.7905 0.6893
0.619 7.52 7500 0.7644 0.6991
0.6008 8.02 8000 0.7473 0.7086
0.5824 8.53 8500 0.7601 0.7009
0.5687 9.03 9000 0.7795 0.6888
0.5466 9.53 9500 0.7925 0.7045

Framework versions

  • Transformers 4.33.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.13.3