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---
tags:
- generated_from_trainer
model-index:
- name: amharic_text_summarization
results: []
---
<!-- 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 was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.5081
- eval_rouge1: 12.4057
- eval_rouge2: 6.0471
- eval_rougeL: 11.8776
- eval_rougeLsum: 11.7941
- eval_runtime: 16.1144
- eval_samples_per_second: 6.392
- eval_steps_per_second: 0.807
- epoch: 4.0
- step: 260
## 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
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