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--- |
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library_name: peft |
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license: apache-2.0 |
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base_model: muchad/idt5-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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- bleu |
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model-index: |
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- name: idt5-base-ae_adapter_cross |
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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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# idt5-base-ae_adapter_cross |
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This model is a fine-tuned version of [muchad/idt5-base](https://huggingface.co/muchad/idt5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9144 |
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- Rouge1: 0.1917 |
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- Rouge2: 0.0598 |
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- Rougel: 0.1773 |
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- Rougelsum: 0.1794 |
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- Bleu: 0.0804 |
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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: 0.0001 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:------:| |
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| 6.3356 | 1.0 | 1695 | 2.9181 | 0.0644 | 0.0164 | 0.0616 | 0.0623 | 0.0129 | |
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| 3.3896 | 2.0 | 3390 | 2.2209 | 0.0596 | 0.0086 | 0.0582 | 0.0582 | 0.0132 | |
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| 2.8466 | 3.0 | 5085 | 2.0090 | 0.1738 | 0.0470 | 0.1625 | 0.1641 | 0.0657 | |
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| 2.7054 | 4.0 | 6780 | 1.9374 | 0.1873 | 0.0576 | 0.1740 | 0.1758 | 0.0759 | |
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| 2.6373 | 5.0 | 8475 | 1.9144 | 0.1917 | 0.0598 | 0.1773 | 0.1794 | 0.0804 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.46.0 |
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- Pytorch 2.4.0a0+f70bd71a48.nv24.06 |
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- Datasets 3.0.2 |
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- Tokenizers 0.20.1 |
