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--- |
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library_name: transformers |
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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-qa-qg-TydiQA-id-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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# idt5-base-qa-qg-TydiQA-id-v2 |
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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: 1.3010 |
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- Rouge1: 0.5204 |
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- Rouge2: 0.3466 |
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- Rougel: 0.5192 |
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- Rougelsum: 0.5195 |
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- Bleu: 0.3202 |
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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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| 1.9561 | 1.0 | 1141 | 1.4688 | 0.4686 | 0.2873 | 0.4675 | 0.4679 | 0.2691 | |
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| 1.4909 | 2.0 | 2282 | 1.3699 | 0.4986 | 0.3200 | 0.4971 | 0.4970 | 0.3062 | |
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| 1.2832 | 3.0 | 3423 | 1.3160 | 0.5138 | 0.3412 | 0.5124 | 0.5125 | 0.3191 | |
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| 1.1023 | 4.0 | 4564 | 1.3064 | 0.5147 | 0.3366 | 0.5133 | 0.5136 | 0.3169 | |
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| 1.0171 | 5.0 | 5705 | 1.3010 | 0.5204 | 0.3466 | 0.5192 | 0.5195 | 0.3202 | |
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### Framework versions |
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- Transformers 4.46.3 |
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- Pytorch 2.4.0a0+f70bd71a48.nv24.06 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
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