metadata
license: mit
base_model: google-bert/bert-base-german-cased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: gBERT_sa_cv_9_fold7
results: []
gBERT_sa_cv_9_fold7
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: 0.6056
- F1: 0.6775
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 | 325 | 0.6180 | 0.5043 |
| 0.4211 | 2.0 | 650 | 0.4568 | 0.6598 |
| 0.4211 | 3.0 | 975 | 0.6056 | 0.6775 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1