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Tommert25
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RobBERTBestModelOct13

Token Classification
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PyTorch
roberta
Generated from Trainer
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RobBERTBestModelOct13 / README.md
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metadata
license: mit
base_model: Tommert25/RobBERTBestModelOct11
tags:
  - generated_from_trainer
model-index:
  - name: RobBERTBestModelOct13
    results: []

RobBERTBestModelOct13

This model is a fine-tuned version of Tommert25/RobBERTBestModelOct11 on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.3695
  • eval_precisions: 0.8647
  • eval_recall: 0.8151
  • eval_f-measure: 0.8341
  • eval_accuracy: 0.9448
  • eval_runtime: 9.7585
  • eval_samples_per_second: 82.698
  • eval_steps_per_second: 5.226
  • step: 0

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: 7.5e-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: 14

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.1