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xlm-roberta-base-finetuned-marc
AGudden/xlm-roberta-base-finetuned-marc
xlm-roberta-base-finetuned-marc is a text classification model from AGudden. 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
- Jan 3, 2023
- Updated
- Sep 11, 2023
- SHA
- 0be1425c
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Base models
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. -->
xlm-roberta-base-finetuned-marc
This model is a fine-tuned version of xlm-roberta-base on the dutch_social dataset. It achieves the following results on the evaluation set:
- Loss: 0.1992
- Mae: 0.0532
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Mae |
|---|---|---|---|---|
| 0.2824 | 1.0 | 10176 | 0.2370 | 0.0748 |
| 0.1809 | 2.0 | 20352 | 0.1992 | 0.0532 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jan 3, 2023
- Updated
- Sep 11, 2023