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---
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license: apache-2.0
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tags:
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- summarization
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- arabic
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- ar
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- fa
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- persian
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- mt5
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- Abstractive Summarization
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- generated_from_trainer
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model-index:
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- name: mt5-base-finetuned-arfa
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# mt5-base-finetuned-arfa
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.1784
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- Rouge-1: 25.68
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- Rouge-2: 11.8
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- Rouge-l: 22.99
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- Gen Len: 18.99
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- Bertscore: 71.78
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0005
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 4
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- label_smoothing_factor: 0.1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge-1 | Rouge-2 | Rouge-l | Gen Len | Bertscore |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:-------:|:---------:|
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| 3.9866 | 1.0 | 2649 | 3.3635 | 21.94 | 8.59 | 19.5 | 18.99 | 70.6 |
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| 3.5637 | 2.0 | 5298 | 3.2557 | 24.01 | 10.0 | 21.26 | 18.99 | 71.22 |
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| 3.4016 | 3.0 | 7947 | 3.2005 | 24.4 | 10.43 | 21.72 | 18.98 | 71.36 |
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| 3.2985 | 4.0 | 10596 | 3.1784 | 24.68 | 10.73 | 22.01 | 18.98 | 71.51 |
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### Framework versions
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- Transformers 4.19.2
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- Pytorch 1.11.0+cu113
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- Datasets 2.2.2
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- Tokenizers 0.12.1
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