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