README.md

metadata

license: mit
base_model: google-bert/bert-base-german-cased
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: gBERT_sa_cv_12_fold1
    results: []

gBERT_sa_cv_12_fold1

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: 0.4368
• F1: 0.6532

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	0.3275	0.6009
No log	2.0	452	0.3741	0.5998
0.3485	3.0	678	0.4368	0.6532

Framework versions

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