metadata
license: mit
base_model: deepset/gelectra-large-germanquad
tags:
- generated_from_trainer
model-index:
- name: Finetuned_Question_Answering_Model
results: []
Finetuned_Question_Answering_Model
This model is a fine-tuned version of deepset/gelectra-large-germanquad on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.1805
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: 5
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0518 | 1.0 | 3 | 2.2785 |
| 1.1922 | 2.0 | 6 | 2.1421 |
| 0.0808 | 3.0 | 9 | 2.3643 |
| 0.0776 | 4.0 | 12 | 2.6431 |
| 0.0118 | 5.0 | 15 | 2.8142 |
| 0.0104 | 6.0 | 18 | 2.9807 |
| 0.0095 | 7.0 | 21 | 3.1129 |
| 0.0045 | 8.0 | 24 | 3.1348 |
| 0.1023 | 9.0 | 27 | 3.1585 |
| 0.0028 | 10.0 | 30 | 3.1805 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2