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--- |
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license: mit |
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tags: |
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- text-classification |
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- generated_from_trainer |
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datasets: |
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- paws-x |
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metrics: |
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- accuracy |
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model-index: |
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- name: paws_x_xlm_r_only_en |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: paws-x |
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type: paws-x |
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config: en |
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split: train |
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args: en |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9275 |
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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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# paws_x_xlm_r_only_en |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the paws-x dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3472 |
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- Accuracy: 0.9275 |
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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: 128 |
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- eval_batch_size: 128 |
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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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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.4679 | 1.0 | 386 | 0.2403 | 0.912 | |
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| 0.1898 | 2.0 | 772 | 0.2232 | 0.9265 | |
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| 0.1283 | 3.0 | 1158 | 0.2266 | 0.9325 | |
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| 0.0989 | 4.0 | 1544 | 0.2439 | 0.932 | |
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| 0.0764 | 5.0 | 1930 | 0.2507 | 0.9305 | |
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| 0.0627 | 6.0 | 2316 | 0.2941 | 0.931 | |
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| 0.0507 | 7.0 | 2702 | 0.2995 | 0.93 | |
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| 0.0436 | 8.0 | 3088 | 0.3279 | 0.9315 | |
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| 0.0356 | 9.0 | 3474 | 0.3423 | 0.929 | |
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| 0.031 | 10.0 | 3860 | 0.3472 | 0.9275 | |
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### Framework versions |
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- Transformers 4.24.0 |
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- Pytorch 1.13.0 |
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- Datasets 2.6.1 |
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- Tokenizers 0.13.1 |
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