
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# lang_adapter_fa_twitter_multilingual_base_cased2

This model is a fine-tuned version of [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7034
- Accuracy: 0.6413

## 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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.5064        | 0.59  | 500  | 2.0007          | 0.5923   |
| 2.3261        | 1.19  | 1000 | 1.9370          | 0.6004   |
| 2.2689        | 1.78  | 1500 | 1.9199          | 0.6049   |
| 2.2101        | 2.38  | 2000 | 1.8503          | 0.6167   |
| 2.2015        | 2.97  | 2500 | 1.8582          | 0.6148   |
| 2.1468        | 3.56  | 3000 | 1.8364          | 0.6186   |
| 2.1213        | 4.16  | 3500 | 1.8128          | 0.6203   |
| 2.0938        | 4.75  | 4000 | 1.7888          | 0.6254   |
| 2.0888        | 5.34  | 4500 | 1.7835          | 0.6285   |
| 2.0619        | 5.94  | 5000 | 1.7469          | 0.6320   |
| 2.045         | 6.53  | 5500 | 1.7322          | 0.6350   |
| 2.032         | 7.13  | 6000 | 1.7279          | 0.6363   |
| 2.012         | 7.72  | 6500 | 1.7045          | 0.6403   |
| 1.9992        | 8.31  | 7000 | 1.7063          | 0.6398   |
| 1.993         | 8.91  | 7500 | 1.7071          | 0.6405   |
| 1.9774        | 9.5   | 8000 | 1.6911          | 0.6419   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.12.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "lang_adapter_fa_twitter_multilingual_base_cased2", "results": []}]}
tensorboard generated_from_trainer license:apache-2.0 region:us
TAGS
#tensorboard #generated_from_trainer #license-apache-2.0 #region-us 

lang\_adapter\_fa\_twitter\_multilingual\_base\_cased2
======================================================


This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 1.7034
* Accuracy: 0.6413


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: 0.0005
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10.0


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0005
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10.0 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.12.1
TAGS
#tensorboard #generated_from_trainer #license-apache-2.0 #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0005
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10.0 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.12.1
TAGS
#tensorboard #generated_from_trainer #license-apache-2.0 #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0005
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10.0### Training results### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.10.1
* Tokenizers 0.12.1