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gBERT_sa_cv_12_fold6

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metadata
license: mit
base_model: google-bert/bert-base-german-cased
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: gBERT_sa_cv_12_fold6
    results: []

gBERT_sa_cv_12_fold6

This model is a fine-tuned version of google-bert/bert-base-german-cased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5177
  • F1: 0.6660

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: 4.47e-05
  • train_batch_size: 16
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss F1
No log 1.0 226 0.3464 0.5500
No log 2.0 452 0.4507 0.6315
0.3344 3.0 678 0.5177 0.6660

Framework versions

  • Transformers 4.41.0
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1