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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: slurp-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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# slurp-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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6783
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- Accuracy: 0.8810
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- F1: 0.8810
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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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| 2.9687 | 1.0 | 720 | 1.3267 | 0.6955 | 0.6955 |
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| 1.4534 | 2.0 | 1440 | 0.8053 | 0.8219 | 0.8219 |
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| 0.6775 | 3.0 | 2160 | 0.6912 | 0.8421 | 0.8421 |
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| 0.5624 | 4.0 | 2880 | 0.6377 | 0.8623 | 0.8623 |
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| 0.3756 | 5.0 | 3600 | 0.6188 | 0.8746 | 0.8746 |
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| 0.3346 | 6.0 | 4320 | 0.6548 | 0.8711 | 0.8711 |
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| 0.2541 | 7.0 | 5040 | 0.6618 | 0.8751 | 0.8751 |
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| 0.2243 | 8.0 | 5760 | 0.6662 | 0.8780 | 0.8780 |
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| 0.212 | 9.0 | 6480 | 0.6673 | 0.8810 | 0.8810 |
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| 0.1664 | 10.0 | 7200 | 0.6783 | 0.8810 | 0.8810 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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