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roberta-mlm-model-v2.0
Kudod/roberta-mlm-model-v2.0
roberta-mlm-model-v2.0 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 3, 2025
- Updated
- May 4, 2025
- SHA
- b63f5c55
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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-v2.0
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 8.4338
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 |
|---|---|---|---|
| 3.843 | 0.8315 | 10000 | 3.5701 |
| 3.1692 | 1.6631 | 20000 | 2.9912 |
| 7.9502 | 2.4946 | 30000 | 15.9249 |
| 7.9357 | 3.3261 | 40000 | 11.0789 |
| 7.9288 | 4.1577 | 50000 | 8.4193 |
| 7.9244 | 4.9892 | 60000 | 8.4338 |
Framework versions
- Transformers 4.50.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- May 3, 2025
- Updated
- May 4, 2025