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Ltg_bert
Harshatheeswar/Ltg_bert
Ltg_bert is a fill-mask model from Harshatheeswar. 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
- ltgbert
- Access
- Public
- Created
- Nov 26, 2024
- Updated
- Nov 26, 2024
- SHA
- bdebbca9
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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. -->
Ltg_bert
This model is a fine-tuned version of babylm/ltgbert-10m-2024 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0001 | 0.9997 | 2779 | 0.0000 |
| 0.0 | 1.9997 | 5559 | 0.0000 |
| 0.0 | 2.9998 | 8339 | 0.0000 |
| 0.0 | 3.9998 | 11119 | 0.0000 |
| 0.0 | 4.9984 | 13895 | 0.0000 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Fill-Mask
- Library
- transformers
- Type
- ltgbert
- License
- mit
- Created
- Nov 26, 2024
- Updated
- Nov 26, 2024