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chrono-link-bert-americanstories-1850-1890
emanuelaboros/chrono-link-bert-americanstories-1850-1890
chrono-link-bert-americanstories-1850-1890 is a fill-mask model from emanuelaboros. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jul 1, 2026
- Updated
- Oct 6, 2026
- SHA
- 18fb3337
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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. -->
chrono-link-bert-americanstories-1850-1890
This model is a fine-tuned version of bert-base-cased on americanstories dataset. It achieves the following results on the evaluation set:
- Loss: 3.5010
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.2346 | 1.0 | 71 | 3.8761 |
| 7.7324 | 2.0 | 142 | 3.6731 |
| 7.4897 | 3.0 | 213 | 3.6416 |
| 7.2982 | 4.0 | 284 | 3.7271 |
| 7.4290 | 5.0 | 355 | 3.6192 |
Framework versions
- Transformers 5.12.1
- Pytorch 2.12.1+cu130
- Datasets 5.0.0
- Tokenizers 0.22.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jul 1, 2026
- Updated
- Oct 6, 2026