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update model card README.md
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README.md
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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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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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---
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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 None 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
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