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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

{"license": "agpl-3.0", "tags": ["generated_from_trainer"], "datasets": ["icelandic-qa-n_qi_i"], "model-index": [{"name": "IceBERT-finetuned-squad-10", "results": []}]}
transformers pytorch roberta question-answering generated_from_trainer dataset:icelandic-qa-n_qi_i license:agpl-3.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-icelandic-qa-n_qi_i #license-agpl-3.0 #endpoints_compatible #region-us 

IceBERT-finetuned-squad-10
==========================


This model is a fine-tuned version of 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



### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1+cu117
* Datasets 2.9.0
* Tokenizers 0.13.2



### 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 ### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1+cu117
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-icelandic-qa-n_qi_i #license-agpl-3.0 #endpoints_compatible #region-us 
 ### 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 ### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1+cu117
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #roberta #question-answering #generated_from_trainer #dataset-icelandic-qa-n_qi_i #license-agpl-3.0 #endpoints_compatible #region-us 
### 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### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1+cu117
* Datasets 2.9.0
* Tokenizers 0.13.2