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--- |
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base_model: muchad/idt5-base |
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library_name: peft |
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license: apache-2.0 |
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metrics: |
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- rouge |
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- bleu |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: idt5-base-ae_adapter |
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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 |
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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: 1.1132 |
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- Rouge1: 0.3358 |
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- Rouge2: 0.1831 |
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- Rougel: 0.3088 |
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- Rougelsum: 0.3109 |
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- Bleu: 0.1408 |
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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: 4 |
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- eval_batch_size: 4 |
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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: 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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| 1.35 | 1.0 | 3390 | 1.2546 | 0.2972 | 0.1424 | 0.2697 | 0.2722 | 0.1256 | |
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| 1.1749 | 2.0 | 6780 | 1.1832 | 0.3197 | 0.1655 | 0.2940 | 0.2961 | 0.1313 | |
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| 1.1447 | 3.0 | 10170 | 1.1313 | 0.3279 | 0.1742 | 0.3024 | 0.3043 | 0.1372 | |
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| 1.1106 | 4.0 | 13560 | 1.1294 | 0.3308 | 0.1790 | 0.3045 | 0.3065 | 0.1386 | |
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| 1.0842 | 5.0 | 16950 | 1.1132 | 0.3358 | 0.1831 | 0.3088 | 0.3109 | 0.1408 | |
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### Framework versions |
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- PEFT 0.13.2 |
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- Transformers 4.45.1 |
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- Pytorch 2.4.0 |
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- Datasets 3.0.1 |
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- Tokenizers 0.20.0 |
