metadata
license: mit
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Facebook_Ohne_HPS
results: []
Facebook_Ohne_HPS
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: 0.4648
- Accuracy: 0.9255
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: 5e-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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 292 | 0.2030 | 0.9272 |
| 0.2315 | 2.0 | 584 | 0.2811 | 0.9272 |
| 0.2315 | 3.0 | 876 | 0.5461 | 0.8955 |
| 0.0566 | 4.0 | 1168 | 0.4648 | 0.9255 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.10.0+cu111
- Datasets 1.17.0
- Tokenizers 0.10.3