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--- |
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license: apache-2.0 |
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base_model: bakrianoo/t5-arabic-base |
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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: results2_ara_t5_v2 |
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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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# results2_ara_t5_v2 |
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This model is a fine-tuned version of [bakrianoo/t5-arabic-base](https://huggingface.co/bakrianoo/t5-arabic-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Gen Len: 19.0 |
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- Loss: 0.0003 |
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- Rouge1: 0.0875 |
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- Rouge2: 0.0046 |
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- Rougel: 0.0871 |
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- Rougelsum: 0.0873 |
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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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- 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 | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:-------:|:---------------:|:------:|:------:|:------:|:---------:| |
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| 3.3562 | 3.43 | 500 | 18.7896 | 0.0070 | 0.0966 | 0.0037 | 0.097 | 0.0965 | |
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| 0.0156 | 6.86 | 1000 | 19.0 | 0.0003 | 0.0875 | 0.0046 | 0.0871 | 0.0873 | |
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### Framework versions |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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