This model is a fine-tuned version of microsoft/Multilingual-MiniLM-L12-H384 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3672
Accuracy: 0.9094

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.2768	1.0	4210	0.3380	0.875
0.2142	2.0	8420	0.3203	0.9014
0.162	3.0	12630	0.3797	0.8968
0.145	4.0	16840	0.3672	0.9094
0.1306	5.0	21050	0.3908	0.9083

Framework versions

Transformers 4.38.2
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2

ZaaCo/Multilingual-MiniLM-L12-H384-finetuned-sst2

Multilingual-MiniLM-L12-H384-finetuned-sst2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ZaaCo/
Multilingual-MiniLM-L12-H384-finetuned-sst2