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roberta-mlm-model-v2.7
Kudod/roberta-mlm-model-v2.7
roberta-mlm-model-v2.7 is a fill-mask model from Kudod. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- May 27, 2025
- Updated
- May 27, 2025
- SHA
- 7b45c41e
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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. -->
roberta-mlm-model-v2.7
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0 | 0.8315 | 10000 | nan |
| 0.0 | 1.6631 | 20000 | nan |
| 0.0 | 2.4946 | 30000 | nan |
| 0.0 | 3.3261 | 40000 | nan |
| 0.0 | 4.1577 | 50000 | nan |
| 0.0 | 4.9892 | 60000 | nan |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- May 27, 2025
- Updated
- May 27, 2025