cartesinus/multilingual_minilm-amazon_massive-intent_eu6_noen

multilingual_minilm-amazon_massive-intent_eu_noen

This model is a fine-tuned version of microsoft/Multilingual-MiniLM-L12-H384 on the MASSIVE1.1 dataset. It achieves the following results on the evaluation set:

• Loss: 0.7794
• Accuracy: 0.8551
• F1: 0.8551

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
1.7624	1.0	4318	1.5462	0.6331	0.6331
0.9535	2.0	8636	0.9628	0.7698	0.7698
0.6849	3.0	12954	0.8034	0.8097	0.8097
0.5163	4.0	17272	0.7444	0.8290	0.8290
0.3973	5.0	21590	0.7346	0.8383	0.8383
0.331	6.0	25908	0.7369	0.8453	0.8453
0.2876	7.0	30226	0.7325	0.8510	0.8510
0.2319	8.0	34544	0.7726	0.8496	0.8496
0.2098	9.0	38862	0.7803	0.8543	0.8543
0.1863	10.0	43180	0.7794	0.8551	0.8551

Framework versions

• Transformers 4.25.1
• Pytorch 1.13.1+cu116
• Datasets 2.8.0
• Tokenizers 0.13.2