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--- |
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base_model: UBC-NLP/AraT5v2-base-1024 |
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library_name: peft |
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metrics: |
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- bleu |
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- rouge |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: araT5-Base-with-IA3 |
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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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# araT5-Base-with-IA3 |
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This model is a fine-tuned version of [UBC-NLP/AraT5v2-base-1024](https://huggingface.co/UBC-NLP/AraT5v2-base-1024) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.5700 |
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- Bleu: 5.2733 |
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- Rouge: 0.2997 |
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- Gen Len: 14.2112 |
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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: 0.0002 |
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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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- num_epochs: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:-------:| |
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| 8.4777 | 1.0 | 7500 | 4.1503 | 3.0695 | 0.2361 | 14.3284 | |
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| 5.3262 | 2.0 | 15000 | 3.8670 | 4.0626 | 0.2757 | 14.1688 | |
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| 5.0341 | 3.0 | 22500 | 3.7264 | 4.5492 | 0.2893 | 14.1428 | |
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| 4.879 | 4.0 | 30000 | 3.6486 | 4.945 | 0.2955 | 14.224 | |
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| 4.7908 | 5.0 | 37500 | 3.6025 | 5.1278 | 0.298 | 14.2372 | |
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| 4.7425 | 6.0 | 45000 | 3.5780 | 5.2779 | 0.2995 | 14.2132 | |
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| 4.7198 | 7.0 | 52500 | 3.5700 | 5.2733 | 0.2997 | 14.2112 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
