metadata
library_name: transformers
license: apache-2.0
base_model: EuroBERT/EuroBERT-610m
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: EuroBERT-immigration-binary-german
results: []
EuroBERT-immigration-binary-german
This model is a fine-tuned version of EuroBERT/EuroBERT-610m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6248
- Accuracy: 0.9087
- F1 Macro: 0.9065
- Accuracy Balanced: 0.9061
- F1 Micro: 0.9087
- Precision Macro: 0.9070
- Recall Macro: 0.9061
- Precision Micro: 0.9087
- Recall Micro: 0.9087
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: 4
- eval_batch_size: 40
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.06
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Accuracy Balanced | F1 Micro | Precision Macro | Recall Macro | Precision Micro | Recall Micro |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5811 | 1.0 | 1578 | 0.5772 | 0.8834 | 0.8755 | 0.8650 | 0.8834 | 0.9083 | 0.8650 | 0.8834 | 0.8834 |
| 0.3917 | 2.0 | 3156 | 0.4164 | 0.8992 | 0.8956 | 0.8912 | 0.8992 | 0.9027 | 0.8912 | 0.8992 | 0.8992 |
| 0.3085 | 3.0 | 4734 | 0.4480 | 0.9144 | 0.9122 | 0.9106 | 0.9144 | 0.9139 | 0.9106 | 0.9144 | 0.9144 |
| 0.1768 | 4.0 | 6312 | 0.6187 | 0.9056 | 0.9021 | 0.8973 | 0.9056 | 0.9100 | 0.8973 | 0.9056 | 0.9056 |
| 0.0676 | 5.0 | 7890 | 0.6248 | 0.9087 | 0.9065 | 0.9061 | 0.9087 | 0.9070 | 0.9061 | 0.9087 | 0.9087 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1