---
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
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# 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