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language-detection-fine-tuned-on-xlm-roberta-base
ivanlau/language-detection-fine-tuned-on-xlm-roberta-base
language-detection-fine-tuned-on-xlm-roberta-base is a text classification model from ivanlau. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Dec 17, 2021
- SHA
- 4207aaa0
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Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
language-detection-fine-tuned-on-xlm-roberta-base
This model is a fine-tuned version of xlm-roberta-base on the common_language dataset. It achieves the following results on the evaluation set:
- Loss: 0.1886
- Accuracy: 0.9738
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1 | 1.0 | 22194 | 0.1886 | 0.9738 |
Framework versions
- Transformers 4.12.5
- Pytorch 1.10.0+cu111
- Datasets 1.15.1
- Tokenizers 0.10.3
Notebook
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Hf Inference
- live
- Created
- Mar 2, 2022
- Updated
- Dec 17, 2021