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--- |
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library_name: transformers |
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license: cc-by-sa-4.0 |
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base_model: retrieva-jp/t5-base-medium |
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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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model-index: |
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- name: Question_model_2data |
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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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# Question_model_2data |
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This model is a fine-tuned version of [retrieva-jp/t5-base-medium](https://huggingface.co/retrieva-jp/t5-base-medium) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.5658 |
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- Rouge1: 0.0429 |
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- Rouge2: 0.0057 |
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- Rougel: 0.0429 |
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- Rougelsum: 0.0429 |
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- Gen Len: 15.1213 |
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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: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 4 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| 3.3575 | 1.0 | 5704 | 2.6953 | 0.0388 | 0.0054 | 0.0387 | 0.0386 | 14.791 | |
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| 3.2388 | 2.0 | 11408 | 2.6126 | 0.0404 | 0.0052 | 0.0403 | 0.0403 | 14.9236 | |
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| 3.1827 | 3.0 | 17112 | 2.5780 | 0.0425 | 0.0055 | 0.0424 | 0.0424 | 14.9523 | |
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| 3.1688 | 4.0 | 22816 | 2.5658 | 0.0429 | 0.0057 | 0.0429 | 0.0429 | 15.1213 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.4.1+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.19.1 |
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