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bert-base-german-cased-finetuned-subj_v2_v1
This model is a fine-tuned version of bert-base-german-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1587
- Precision: 0.2222
- Recall: 0.0107
- F1: 0.0204
- Accuracy: 0.9511
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 136 | 0.1569 | 0.6667 | 0.0053 | 0.0106 | 0.9522 |
| No log | 2.0 | 272 | 0.1562 | 0.1667 | 0.0053 | 0.0103 | 0.9513 |
| No log | 3.0 | 408 | 0.1587 | 0.2222 | 0.0107 | 0.0204 | 0.9511 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
