Ar-Mulitlingual-MiniLM
This model is a fine-tuned version of microsoft/Multilingual-MiniLM-L12-H384 on an unknown dataset.

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: 5e-05
train_batch_size: 24
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.18.0
Pytorch 1.11.0+cu113
Tokenizers 0.12.1
{}
transformers pytorch bert fill-mask autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us 

Ar-Mulitlingual-MiniLM
This model is a fine-tuned version of microsoft/Multilingual-MiniLM-L12-H384 on an unknown dataset.

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: 5e-05
train_batch_size: 24
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.18.0
Pytorch 1.11.0+cu113
Tokenizers 0.12.1
TAGS
#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #bert #fill-mask #autotrain_compatible #endpoints_compatible #region-us 
