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xlm-roberta-base-finetuned
nuttakitinta/xlm-roberta-base-finetuned
xlm-roberta-base-finetuned is a fill-mask model from nuttakitinta. Use it when you need the model to fill a missing word. 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
- Fill-Mask
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Mar 11, 2025
- Updated
- Mar 11, 2025
- SHA
- b415396b
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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. -->
xlm-roberta-base-finetuned
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1608
- Model Preparation Time: 0.0054
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: 32
- eval_batch_size: 32
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
|---|---|---|---|---|
| 1.5318 | 1.0 | 7079 | 1.3185 | 0.0054 |
| 1.3738 | 2.0 | 14158 | 1.2422 | 0.0054 |
| 1.3072 | 3.0 | 21237 | 1.1961 | 0.0054 |
| 1.2646 | 4.0 | 28316 | 1.1606 | 0.0054 |
| 1.2402 | 5.0 | 35395 | 1.1563 | 0.0054 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.1.0+cu118
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Fill-Mask
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Mar 11, 2025
- Updated
- Mar 11, 2025