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

Loss: 1.2436
Accuracy: 0.5422
F1: 0.5435
Precision: 0.5452
Recall: 0.5422

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: 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
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
1.0049	1.0	2500	1.0616	0.5352	0.5268	0.5347	0.5352
0.9172	2.0	5000	1.0763	0.5432	0.5412	0.5444	0.5432
0.8285	3.0	7500	1.1077	0.5408	0.5428	0.5494	0.5408
0.7361	4.0	10000	1.1743	0.5342	0.5399	0.5531	0.5342
0.6538	5.0	12500	1.2436	0.5422	0.5435	0.5452	0.5422

Framework versions

Transformers 4.15.0
Pytorch 1.10.0+cu111
Datasets 1.17.0
Tokenizers 0.10.3

milyiyo/multi-minilm-finetuned-amazon-review

multi-minilm-finetuned-amazon-review

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

milyiyo/
multi-minilm-finetuned-amazon-review