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afriberta_base-finetuned-wikipedia-sw
Karishma777/afriberta_base-finetuned-wikipedia-sw
afriberta_base-finetuned-wikipedia-sw is a fill-mask model from Karishma777. 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
- xlm-roberta
- Access
- Public
- Created
- Oct 18, 2024
- Updated
- Oct 18, 2024
- SHA
- 223fc565
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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. -->
afriberta_base-finetuned-wikipedia-sw
This model is a fine-tuned version of castorini/afriberta_base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6659
- Model Preparation Time: 0.003
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time |
|---|---|---|---|---|
| 1.9514 | 1.0 | 313 | 1.7308 | 0.003 |
| 1.8156 | 2.0 | 626 | 1.6680 | 0.003 |
| 1.7607 | 3.0 | 939 | 1.6575 | 0.003 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.0+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- xlm-roberta
- Created
- Oct 18, 2024
- Updated
- Oct 18, 2024