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# SajjadAyoubi_xlm-roberta-large-fa-qa_finetune_on_hoshfa_18

This model is a fine-tuned version of [SajjadAyoubi/xlm-roberta-large-fa-qa](https://huggingface.co/SajjadAyoubi/xlm-roberta-large-fa-qa) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7132

## 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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 18

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 450  | 1.6760          |
| 2.4326        | 2.0   | 900  | 1.2467          |
| 1.7149        | 3.0   | 1350 | 1.0080          |
| 1.4159        | 4.0   | 1800 | 0.9462          |
| 1.1935        | 5.0   | 2250 | 0.8571          |
| 1.0304        | 6.0   | 2700 | 0.8423          |
| 0.9659        | 7.0   | 3150 | 0.7865          |
| 0.8431        | 8.0   | 3600 | 0.7647          |
| 0.8279        | 9.0   | 4050 | 0.7421          |
| 0.7808        | 10.0  | 4500 | 0.7911          |
| 0.7808        | 11.0  | 4950 | 0.7421          |
| 0.7409        | 12.0  | 5400 | 0.7146          |
| 0.7155        | 13.0  | 5850 | 0.7184          |
| 0.6672        | 14.0  | 6300 | 0.7149          |
| 0.6637        | 15.0  | 6750 | 0.7134          |
| 0.6457        | 16.0  | 7200 | 0.7128          |
| 0.6167        | 17.0  | 7650 | 0.7127          |
| 0.6256        | 18.0  | 8100 | 0.7132          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2

{"tags": ["generated_from_trainer"], "model-index": [{"name": "SajjadAyoubi_xlm-roberta-large-fa-qa_finetune_on_hoshfa_18", "results": []}]}
transformers pytorch xlm-roberta question-answering generated_from_trainer endpoints_compatible region:us
TAGS
#transformers #pytorch #xlm-roberta #question-answering #generated_from_trainer #endpoints_compatible #region-us 

SajjadAyoubi\_xlm-roberta-large-fa-qa\_finetune\_on\_hoshfa\_18
===============================================================


This model is a fine-tuned version of SajjadAyoubi/xlm-roberta-large-fa-qa on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 0.7132


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: 10
* eval\_batch\_size: 10
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 18


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 10
* eval\_batch\_size: 10
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 18 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #xlm-roberta #question-answering #generated_from_trainer #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 10
* eval\_batch\_size: 10
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 18 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #xlm-roberta #question-answering #generated_from_trainer #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 10
* eval\_batch\_size: 10
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 18### Training results### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2