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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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- nlu |
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- text-classification |
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- intent-classification |
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metrics: |
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- accuracy |
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- f1 |
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model-index: |
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- name: multilingual_minilm-amazon_massive-intent_eu_noen |
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results: |
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- task: |
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name: intent-classification |
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type: intent-classification |
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dataset: |
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name: MASSIVE |
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type: AmazonScience/massive |
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split: test |
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metrics: |
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- name: F1 |
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type: f1 |
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value: 0.8551 |
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datasets: |
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- AmazonScience/massive |
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language: |
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- de |
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- fr |
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- it |
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- pt |
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- es |
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- pl |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# multilingual_minilm-amazon_massive-intent_eu_noen |
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This model is a fine-tuned version of [microsoft/Multilingual-MiniLM-L12-H384](https://huggingface.co/microsoft/Multilingual-MiniLM-L12-H384) on the [MASSIVE1.1](https://huggingface.co/datasets/AmazonScience/massive) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7794 |
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- Accuracy: 0.8551 |
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- F1: 0.8551 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:| |
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| 1.7624 | 1.0 | 4318 | 1.5462 | 0.6331 | 0.6331 | |
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| 0.9535 | 2.0 | 8636 | 0.9628 | 0.7698 | 0.7698 | |
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| 0.6849 | 3.0 | 12954 | 0.8034 | 0.8097 | 0.8097 | |
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| 0.5163 | 4.0 | 17272 | 0.7444 | 0.8290 | 0.8290 | |
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| 0.3973 | 5.0 | 21590 | 0.7346 | 0.8383 | 0.8383 | |
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| 0.331 | 6.0 | 25908 | 0.7369 | 0.8453 | 0.8453 | |
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| 0.2876 | 7.0 | 30226 | 0.7325 | 0.8510 | 0.8510 | |
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| 0.2319 | 8.0 | 34544 | 0.7726 | 0.8496 | 0.8496 | |
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| 0.2098 | 9.0 | 38862 | 0.7803 | 0.8543 | 0.8543 | |
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| 0.1863 | 10.0 | 43180 | 0.7794 | 0.8551 | 0.8551 | |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.8.0 |
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- Tokenizers 0.13.2 |
