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amharic_xlmr_base
Atnafu/amharic_xlmr_base
amharic_xlmr_base is a fill-mask model from Atnafu. 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
- xlm-roberta
- Access
- Public
- Created
- Jun 17, 2023
- Updated
- Jun 17, 2023
- SHA
- d672b17d
Try a prompt
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. -->
amh_base
This model is a fine-tuned version of Davlan/afro-xlmr-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3301
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: 10
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1
- Datasets 2.13.0
- Tokenizers 0.13.3
- Task
- Fill-Mask
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Jun 17, 2023
- Updated
- Jun 17, 2023