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babylm-rta10m-roberta
alexandertam/babylm-rta10m-roberta
babylm-rta10m-roberta is a fill-mask model from alexandertam. 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
- Aug 23, 2025
- Updated
- Aug 23, 2025
- SHA
- 2df2a4ef
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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. -->
babylm-rta10m-roberta
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.5669
- Accuracy: 0.1679
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: 16
- eval_batch_size: 16
- 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: 180
- training_steps: 18000
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 6.948 | 0.0557 | 200 | 6.4894 | 0.1043 |
| 6.2515 | 0.1114 | 400 | 6.1707 | 0.1271 |
| 6.0599 | 0.1670 | 600 | 6.0575 | 0.1367 |
| 5.998 | 0.2227 | 800 | 5.9873 | 0.1420 |
| 5.9554 | 0.2784 | 1000 | 5.9518 | 0.1436 |
| 5.9364 | 0.3341 | 1200 | 5.9270 | 0.1455 |
| 5.8973 | 0.3898 | 1400 | 5.8893 | 0.1504 |
| 5.8565 | 0.4454 | 1600 | 5.8677 | 0.1506 |
| 5.8052 | 0.5011 | 1800 | 5.8562 | 0.1504 |
| 5.8149 | 0.5568 | 2000 | 5.8329 | 0.1525 |
| 5.6917 | 1.1136 | 4000 | 5.7430 | 0.1577 |
| 5.6493 | 1.6704 | 6000 | 5.7029 | 0.1606 |
| 5.5965 | 2.2272 | 8000 | 5.6527 | 0.1631 |
| 5.5581 | 2.7840 | 10000 | 5.6288 | 0.1626 |
| 5.5325 | 3.3408 | 12000 | 5.6148 | 0.1659 |
| 5.5038 | 3.8976 | 14000 | 5.5877 | 0.1673 |
| 5.4782 | 4.4543 | 16000 | 5.5696 | 0.1682 |
| 5.5144 | 5.0111 | 18000 | 5.5651 | 0.1676 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.21.4
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- Aug 23, 2025
- Updated
- Aug 23, 2025