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metadata
license: mit
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: multilingual_minilm-amazon-massive-intent
    results: []

multilingual_minilm-amazon-massive-intent

This model is a fine-tuned version of microsoft/Multilingual-MiniLM-L12-H384 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8941
  • Accuracy: 0.8234
  • F1: 0.8234

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: 15

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
3.7961 1.0 720 3.1657 0.3404 0.3404
3.1859 2.0 1440 2.4835 0.4343 0.4343
2.3104 3.0 2160 2.0474 0.5652 0.5652
2.0071 4.0 2880 1.7190 0.6503 0.6503
1.5595 5.0 3600 1.4873 0.6990 0.6990
1.3664 6.0 4320 1.3088 0.7354 0.7354
1.1272 7.0 5040 1.1964 0.7521 0.7521
1.0128 8.0 5760 1.1115 0.7718 0.7718
0.9405 9.0 6480 1.0598 0.7841 0.7841
0.7758 10.0 7200 1.0003 0.7944 0.7944
0.7457 11.0 7920 0.9599 0.8037 0.8037
0.6605 12.0 8640 0.9175 0.8165 0.8165
0.6135 13.0 9360 0.9148 0.8190 0.8190
0.5698 14.0 10080 0.8976 0.8229 0.8229
0.5578 15.0 10800 0.8941 0.8234 0.8234

Framework versions

  • Transformers 4.25.1
  • Pytorch 1.13.0+cu116
  • Datasets 2.7.1
  • Tokenizers 0.13.2