<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
bert-base-german-cased-finetuned-subj_v5_7Epoch
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: 0.3036
- Precision: 0.7983
- Recall: 0.7781
- F1: 0.7881
- Accuracy: 0.9073
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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 32 | 0.3438 | 0.6970 | 0.7107 | 0.7038 | 0.8626 |
| No log | 2.0 | 64 | 0.2747 | 0.7688 | 0.7472 | 0.7578 | 0.8902 |
| No log | 3.0 | 96 | 0.2683 | 0.7827 | 0.7893 | 0.7860 | 0.8981 |
| No log | 4.0 | 128 | 0.2768 | 0.8024 | 0.7528 | 0.7768 | 0.9027 |
| No log | 5.0 | 160 | 0.2881 | 0.8102 | 0.7556 | 0.7820 | 0.9060 |
| No log | 6.0 | 192 | 0.3006 | 0.7959 | 0.7669 | 0.7811 | 0.9040 |
| No log | 7.0 | 224 | 0.3036 | 0.7983 | 0.7781 | 0.7881 | 0.9073 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.11.6
