README.md

metadata

license: mit
tags:
  - generated_from_trainer
datasets:
  - gnad10
metrics:
  - f1
model-index:
  - name: my_awesome_model
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: gnad10
          type: gnad10
          config: default
          split: test
          args: default
        metrics:
          - name: F1
            type: f1
            value: 0.9001230044993416

my_awesome_model

This model is a fine-tuned version of bert-base-german-cased on the gnad10 dataset. It achieves the following results on the evaluation set:

• Loss: 0.3414
• F1: 0.9001

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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.5884	1.0	578	0.3510	0.8940
0.2389	2.0	1156	0.3414	0.9001

Framework versions

• Transformers 4.26.0
• Pytorch 2.0.0.dev20230126+cu117
• Datasets 2.9.0
• Tokenizers 0.13.2