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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-pl
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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-pl
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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: 0.1700
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- Accuracy: 0.9595
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- F1: 0.9595
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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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| 3.4745 | 1.0 | 798 | 1.5821 | 0.6795 | 0.6795 |
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| 1.1438 | 2.0 | 1596 | 0.8333 | 0.8259 | 0.8259 |
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| 0.7546 | 3.0 | 2394 | 0.4991 | 0.9039 | 0.9039 |
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| 0.3955 | 4.0 | 3192 | 0.3466 | 0.9302 | 0.9302 |
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| 0.3016 | 5.0 | 3990 | 0.2571 | 0.9440 | 0.9440 |
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| 0.183 | 6.0 | 4788 | 0.2147 | 0.9588 | 0.9588 |
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| 0.1309 | 7.0 | 5586 | 0.1900 | 0.9605 | 0.9605 |
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| 0.1128 | 8.0 | 6384 | 0.1750 | 0.9640 | 0.9640 |
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| 0.0873 | 9.0 | 7182 | 0.1638 | 0.9663 | 0.9663 |
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| 0.082 | 10.0 | 7980 | 0.1602 | 0.9671 | 0.9671 |
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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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