Finetuned_Question_Answering_Model2
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: 3.4686
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 |
|---|---|---|---|
| 1.5891 | 1.0 | 16 | 2.3028 |
| 0.5036 | 2.0 | 32 | 2.0374 |
| 0.1452 | 3.0 | 48 | 2.3434 |
| 0.0193 | 4.0 | 64 | 2.5063 |
| 0.2838 | 5.0 | 80 | 2.6404 |
| 0.013 | 6.0 | 96 | 3.3407 |
| 1.3265 | 7.0 | 112 | 3.3117 |
| 0.0045 | 8.0 | 128 | 3.3379 |
| 0.0028 | 9.0 | 144 | 3.4341 |
| 0.0046 | 10.0 | 160 | 3.4686 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
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Model tree for Abdullah22/Finetuned_Question_Answering_Model2
Base model
deepset/gelectra-large-germanquad