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README.md
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---
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license: agpl-3.0
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tags:
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- generated_from_trainer
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datasets:
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- icelandic-qa-n_qi_i
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model-index:
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- name: IceBERT-finetuned-squad-10
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# IceBERT-finetuned-squad-10
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This model is a fine-tuned version of [mideind/IceBERT](https://huggingface.co/mideind/IceBERT) on the icelandic-qa-n_qi_i dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1511
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 293 | 1.7614 |
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| 1.9509 | 2.0 | 586 | 1.5208 |
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| 1.9509 | 3.0 | 879 | 1.5011 |
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| 0.9529 | 4.0 | 1172 | 1.5694 |
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| 0.9529 | 5.0 | 1465 | 1.7516 |
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| 0.6647 | 6.0 | 1758 | 1.8629 |
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| 0.4336 | 7.0 | 2051 | 1.8881 |
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| 0.4336 | 8.0 | 2344 | 2.0768 |
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| 0.335 | 9.0 | 2637 | 2.1238 |
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| 0.335 | 10.0 | 2930 | 2.1511 |
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### Framework versions
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- Transformers 4.26.0
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- Pytorch 1.13.1+cu117
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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