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README.md
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---
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license:
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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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- f1
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model-index:
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- name: xlm-bid
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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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# xlm-bid
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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: 0.2699
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- F1: 0.8780
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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: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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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 | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 1.7339 | 1.0 | 23 | 1.2478 | 0.0 |
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| 1.0626 | 2.0 | 46 | 0.6075 | 0.5294 |
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| 0.5754 | 3.0 | 69 | 0.3023 | 0.8095 |
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| 0.3271 | 4.0 | 92 | 0.3282 | 0.8095 |
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| 0.265 | 5.0 | 115 | 0.2951 | 0.8571 |
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| 0.1909 | 6.0 | 138 | 0.3189 | 0.7907 |
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| 0.1304 | 7.0 | 161 | 0.3330 | 0.8095 |
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| 0.1128 | 8.0 | 184 | 0.3141 | 0.8095 |
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| 0.0808 | 9.0 | 207 | 0.2712 | 0.9268 |
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| 0.0803 | 10.0 | 230 | 0.2699 | 0.8780 |
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.0.1+cu118
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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