metadata

tags:
  - generated_from_trainer
model-index:
  - name: bert-base-german-cased-gnad10-finetuned-tagesschau-subcategories
    results: []

bert-base-german-cased-gnad10-finetuned-tagesschau-subcategories

This model is a fine-tuned version of Mathking/bert-base-german-cased-gnad10 on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.4599
eval_accuracy: 0.84
eval_runtime: 71.9717
eval_samples_per_second: 2.084
eval_steps_per_second: 0.139
epoch: 1.2
step: 90

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: 2e-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: 5

Framework versions

Transformers 4.21.3
Pytorch 1.13.0+cpu
Datasets 2.8.0
Tokenizers 0.12.1