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amharic_text_summarization
yohannesahunm/amharic_text_summarization
amharic_text_summarization is a summarization model from yohannesahunm. Use it when you need a shorter version of a longer text. 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
- Summarization
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Jan 3, 2024
- Updated
- Jan 26, 2025
- SHA
- b74b5986
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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. -->
amharic_text_summarization
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.8555
- eval_rouge1: 18.0073
- eval_rouge2: 10.0967
- eval_rougeL: 17.7031
- eval_rougeLsum: 17.704
- eval_runtime: 364.1187
- eval_samples_per_second: 14.207
- eval_steps_per_second: 1.777
- epoch: 8.0
- step: 20736
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Summarization
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Jan 3, 2024
- Updated
- Jan 26, 2025