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roberta-base-Roberta-Model

Text Classification
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PyTorch
roberta
Generated from Trainer
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roberta-base-Roberta-Model / README.md
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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: 0.8450
  • F1: 0.6468

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
0.916 0.5 500 0.8835 0.6218
0.8783 1.0 1000 0.8467 0.6531
0.8769 1.5 1500 0.8581 0.6487
0.8499 2.01 2000 0.8651 0.6488
0.8734 2.51 2500 0.8908 0.6409
0.8597 3.01 3000 0.8923 0.6409
0.8987 3.51 3500 0.8999 0.6215
0.879 4.01 4000 0.9219 0.6220
0.8892 4.51 4500 0.8936 0.6220
0.8926 5.02 5000 0.8914 0.6226
0.975 5.52 5500 0.8984 0.6405
0.9387 6.02 6000 1.1061 0.2347
0.9446 6.52 6500 0.8879 0.6436
0.879 7.02 7000 0.9053 0.6216
0.8657 7.52 7500 0.8552 0.6446
0.8396 8.02 8000 0.8535 0.6475
0.8264 8.53 8500 0.8476 0.6519
0.8555 9.03 9000 0.8450 0.6468
0.851 9.53 9500 0.8807 0.6404

Framework versions

  • Transformers 4.33.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3