|
--- |
|
license: agpl-3.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- icelandic-qa-n_qi_i |
|
model-index: |
|
- name: IceBERT-finetuned-squad-10 |
|
results: [] |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# IceBERT-finetuned-squad-10 |
|
|
|
This model is a fine-tuned version of [mideind/IceBERT](https://huggingface.co/mideind/IceBERT) on the icelandic-qa-n_qi_i dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.1511 |
|
|
|
## 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: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| No log | 1.0 | 293 | 1.7614 | |
|
| 1.9509 | 2.0 | 586 | 1.5208 | |
|
| 1.9509 | 3.0 | 879 | 1.5011 | |
|
| 0.9529 | 4.0 | 1172 | 1.5694 | |
|
| 0.9529 | 5.0 | 1465 | 1.7516 | |
|
| 0.6647 | 6.0 | 1758 | 1.8629 | |
|
| 0.4336 | 7.0 | 2051 | 1.8881 | |
|
| 0.4336 | 8.0 | 2344 | 2.0768 | |
|
| 0.335 | 9.0 | 2637 | 2.1238 | |
|
| 0.335 | 10.0 | 2930 | 2.1511 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.0 |
|
- Pytorch 1.13.1+cu117 |
|
- Datasets 2.9.0 |
|
- Tokenizers 0.13.2 |
|
|
