fine-tuned-bert-german-casedNoNeutral
This model is a fine-tuned version of google-bert/bert-base-german-cased on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.3851
- eval_model_preparation_time: 0.0039
- eval_accuracy: {'accuracy': 0.8091872791519434}
- eval_f1score: {'f1': 0.8019023748870079}
- eval_runtime: 6.5401
- eval_samples_per_second: 43.272
- eval_steps_per_second: 5.505
- step: 0
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 61
- num_epochs: 20
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for Hina541/fine-tuned-bert-german-casedNoNeutral
Base model
google-bert/bert-base-german-cased