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# qa_bert-base-multilingual-cased-finetuned-squad

This model is a fine-tuned version of [salti/bert-base-multilingual-cased-finetuned-squad](https://huggingface.co/salti/bert-base-multilingual-cased-finetuned-squad) on the subjqa dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8327

## 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: 1e-06
- 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.6495        | 1.0   | 81   | 2.3399          |
| 1.8855        | 2.0   | 162  | 2.0887          |
| 1.7301        | 3.0   | 243  | 1.9716          |
| 1.668         | 4.0   | 324  | 1.9215          |
| 1.6121        | 5.0   | 405  | 1.8922          |
| 1.5587        | 6.0   | 486  | 1.8767          |
| 1.5236        | 7.0   | 567  | 1.8614          |
| 1.4978        | 8.0   | 648  | 1.8464          |
| 1.4769        | 9.0   | 729  | 1.8434          |
| 1.4612        | 10.0  | 810  | 1.8364          |
| 1.4215        | 11.0  | 891  | 1.8357          |
| 1.4132        | 12.0  | 972  | 1.8330          |
| 1.394         | 13.0  | 1053 | 1.8325          |
| 1.3798        | 14.0  | 1134 | 1.8348          |
| 1.3786        | 15.0  | 1215 | 1.8326          |
| 1.3668        | 16.0  | 1296 | 1.8339          |
| 1.3545        | 17.0  | 1377 | 1.8338          |
| 1.3581        | 18.0  | 1458 | 1.8323          |
| 1.3449        | 19.0  | 1539 | 1.8324          |
| 1.3443        | 20.0  | 1620 | 1.8327          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2

{"tags": ["generated_from_trainer"], "datasets": ["subjqa"], "model-index": [{"name": "qa_bert-base-multilingual-cased-finetuned-squad", "results": []}]}
transformers pytorch tensorboard bert question-answering generated_from_trainer dataset:subjqa endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #bert #question-answering #generated_from_trainer #dataset-subjqa #endpoints_compatible #region-us 

qa\_bert-base-multilingual-cased-finetuned-squad
================================================


This model is a fine-tuned version of salti/bert-base-multilingual-cased-finetuned-squad on the subjqa dataset.
It achieves the following results on the evaluation set:


* Loss: 1.8327


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: 1e-06
* 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: 20


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-06
* 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: 20 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #bert #question-answering #generated_from_trainer #dataset-subjqa #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-06
* 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: 20 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #bert #question-answering #generated_from_trainer #dataset-subjqa #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-06
* 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: 20### Training results### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.13.2