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xlm-roberta-base-finetuned-marc-en-hslu
lewtun/xlm-roberta-base-finetuned-marc-en-hslu
xlm-roberta-base-finetuned-marc-en-hslu is a text classification model from lewtun. 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 16, 2021
- SHA
- 1c482ee3
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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. -->
xlm-roberta-base-finetuned-marc-en-hslu
This model is a fine-tuned version of xlm-roberta-base on the amazon_reviews_multi dataset. It achieves the following results on the evaluation set:
- Loss: 0.8826
- Mae: 0.5
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 |
|---|---|---|---|---|
| 1.1121 | 1.0 | 235 | 0.9400 | 0.5732 |
| 0.9487 | 2.0 | 470 | 0.8826 | 0.5 |
Framework versions
- Transformers 4.14.1
- Pytorch 1.10.0+cu111
- Datasets 1.16.1
- Tokenizers 0.10.3
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Mar 2, 2022
- Updated
- Dec 16, 2021