metadata

license: mit
base_model: google-bert/bert-base-german-cased
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: gBERT_sa_cv_11_full_training
    results: []

gBERT_sa_cv_11_full_training

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: 0.3892
F1: 0.6990

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	251	0.3902	0.5664
0.3341	2.0	502	0.3892	0.6990
0.3341	3.0	753	0.4981	0.6733

Framework versions

Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1