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rating-model-xlmr
MiuN2k3/rating-model-xlmr
rating-model-xlmr is a text classification model from MiuN2k3. 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
- Dec 6, 2024
- Updated
- Dec 7, 2024
- SHA
- 8bea8a75
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Base models
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. -->
rating-model-xlmr
This model is a fine-tuned version of xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6431
- Mse: 1.6431
- Mae: 0.8973
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Mae |
|---|---|---|---|---|---|
| 1.7357 | 1.0 | 2673 | 1.7156 | 1.7156 | 0.8882 |
| 1.6455 | 2.0 | 5346 | 1.5879 | 1.5879 | 0.9468 |
| 1.6607 | 3.0 | 8019 | 1.6431 | 1.6431 | 0.8973 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Dec 6, 2024
- Updated
- Dec 7, 2024