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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: fedcsis-intent_baseline-xlm_r-en
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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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# fedcsis-intent_baseline-xlm_r-en
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4811
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- Accuracy: 0.9040
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- F1: 0.9040
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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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| 3.4583 | 1.0 | 814 | 1.7712 | 0.6193 | 0.6193 |
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| 1.3828 | 2.0 | 1628 | 0.9693 | 0.8073 | 0.8073 |
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| 0.9585 | 3.0 | 2442 | 0.5830 | 0.8893 | 0.8893 |
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| 0.502 | 4.0 | 3256 | 0.3813 | 0.9295 | 0.9295 |
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| 0.2907 | 5.0 | 4070 | 0.2699 | 0.9485 | 0.9485 |
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| 0.2267 | 6.0 | 4884 | 0.2059 | 0.9615 | 0.9615 |
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| 0.1437 | 7.0 | 5698 | 0.1648 | 0.9700 | 0.9700 |
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| 0.0998 | 8.0 | 6512 | 0.1422 | 0.9741 | 0.9741 |
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| 0.0856 | 9.0 | 7326 | 0.1334 | 0.9758 | 0.9758 |
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| 0.0748 | 10.0 | 8140 | 0.1286 | 0.9772 | 0.9772 |
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### Framework versions
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- Transformers 4.27.0
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- Pytorch 1.13.1+cu116
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- Datasets 2.10.1
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- Tokenizers 0.13.2
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