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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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datasets: |
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- yelp_review_full |
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metrics: |
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- accuracy |
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model-index: |
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- name: xlm-roberta-base-yelp-mlm |
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results: |
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- task: |
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name: Masked Language Modeling |
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type: fill-mask |
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dataset: |
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name: yelp_review_full yelp_review_full |
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type: yelp_review_full |
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args: yelp_review_full |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.7356223359340127 |
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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-roberta-base-yelp-mlm |
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the yelp_review_full yelp_review_full dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1743 |
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- Accuracy: 0.7356 |
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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: 3.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.18.0.dev0 |
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- Pytorch 1.10.0 |
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- Datasets 1.18.3 |
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- Tokenizers 0.11.0 |
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