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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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- am |
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- es |
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- amharic |
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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-ar-sp |
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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-ar-sp |
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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: 3.2772 |
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- Rouge-1: 23.01 |
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- Rouge-2: 10.41 |
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- Rouge-l: 20.94 |
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- Gen Len: 19.0 |
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- Bertscore: 71.56 |
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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: 5 |
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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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| 4.1968 | 1.0 | 1352 | 3.5142 | 18.69 | 6.73 | 16.97 | 19.0 | 70.3 | |
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| 3.6932 | 2.0 | 2704 | 3.3799 | 20.67 | 8.38 | 18.75 | 19.0 | 70.82 | |
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| 3.5058 | 3.0 | 4056 | 3.3184 | 20.97 | 8.58 | 19.08 | 19.0 | 71.08 | |
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| 3.3832 | 4.0 | 5408 | 3.2851 | 21.59 | 8.94 | 19.63 | 19.0 | 71.28 | |
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| 3.2994 | 5.0 | 6760 | 3.2772 | 21.84 | 9.23 | 19.85 | 19.0 | 71.34 | |
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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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