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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: google/mt5-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: mt5-base-qaqg-finetuned-TydiQA-id |
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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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# mt5-base-qaqg-finetuned-TydiQA-id |
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8334 |
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- Rouge1: 0.5212 |
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- Rouge2: 0.3529 |
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- Rougel: 0.5187 |
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- Rougelsum: 0.5196 |
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- Bleu: 0.3354 |
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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: 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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| 1.5538 | 1.0 | 1141 | 0.9977 | 0.4486 | 0.2915 | 0.4465 | 0.4476 | 0.2792 | |
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| 1.1151 | 2.0 | 2282 | 0.8848 | 0.4774 | 0.3098 | 0.4745 | 0.4753 | 0.3047 | |
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| 0.9266 | 3.0 | 3423 | 0.8454 | 0.5026 | 0.3348 | 0.5003 | 0.5014 | 0.3183 | |
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| 0.8067 | 4.0 | 4564 | 0.8357 | 0.5149 | 0.3440 | 0.5127 | 0.5133 | 0.3270 | |
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| 0.739 | 5.0 | 5705 | 0.8334 | 0.5212 | 0.3529 | 0.5187 | 0.5196 | 0.3354 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.0a0+f70bd71a48.nv24.06 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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