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license: apache-2.0 |
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base_model: ahmeddbahaa/t5-arabic-base-finetuned-wikilingua-ar |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: results_t5_wiki |
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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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# results_t5_wiki |
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This model is a fine-tuned version of [ahmeddbahaa/t5-arabic-base-finetuned-wikilingua-ar](https://huggingface.co/ahmeddbahaa/t5-arabic-base-finetuned-wikilingua-ar) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0002 |
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- Rouge1: 0.1188 |
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- Rouge2: 0.0194 |
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- Rougel: 0.1188 |
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- Rougelsum: 0.1186 |
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- Gen Len: 19.0 |
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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: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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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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- lr_scheduler_warmup_steps: 250 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:------:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| 0.8768 | 0.2143 | 500 | 0.0228 | 0.1148 | 0.0128 | 0.1148 | 0.1147 | 19.0 | |
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| 0.0437 | 0.4286 | 1000 | 0.0111 | 0.1164 | 0.0154 | 0.1168 | 0.1165 | 19.0 | |
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| 0.0436 | 0.6429 | 1500 | 0.0060 | 0.1168 | 0.0163 | 0.1171 | 0.1169 | 19.0 | |
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| 0.0212 | 0.8573 | 2000 | 0.0052 | 0.117 | 0.0165 | 0.1173 | 0.117 | 19.0 | |
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| 0.0161 | 1.0716 | 2500 | 0.0018 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.011 | 1.2859 | 3000 | 0.0018 | 0.1188 | 0.0193 | 0.1188 | 0.1186 | 19.0 | |
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| 0.0094 | 1.5002 | 3500 | 0.0014 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.0107 | 1.7145 | 4000 | 0.0007 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.0069 | 1.9288 | 4500 | 0.0006 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.007 | 2.1432 | 5000 | 0.0006 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.0064 | 2.3575 | 5500 | 0.0006 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.0062 | 2.5718 | 6000 | 0.0015 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.0042 | 2.7861 | 6500 | 0.0005 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.0043 | 3.0004 | 7000 | 0.0004 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.0042 | 3.2147 | 7500 | 0.0012 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.0047 | 3.4291 | 8000 | 0.0010 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.0043 | 3.6434 | 8500 | 0.0008 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.0024 | 3.8577 | 9000 | 0.0003 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.0026 | 4.0720 | 9500 | 0.0005 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.0029 | 4.2863 | 10000 | 0.0003 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.0045 | 4.5006 | 10500 | 0.0006 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.0024 | 4.7150 | 11000 | 0.0001 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.0018 | 4.9293 | 11500 | 0.0002 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.002 | 5.1436 | 12000 | 0.0002 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.0022 | 5.3579 | 12500 | 0.0001 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.0017 | 5.5722 | 13000 | 0.0003 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.0014 | 5.7865 | 13500 | 0.0005 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.0055 | 6.0009 | 14000 | 0.0012 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 16.3147 | |
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| 0.0127 | 6.2152 | 14500 | 0.0002 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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| 0.0012 | 6.4295 | 15000 | 0.0002 | 0.1188 | 0.0194 | 0.1188 | 0.1186 | 19.0 | |
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### Framework versions |
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- Transformers 4.42.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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