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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_notitle |
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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_notitle |
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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: 1.4010 |
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- Rouge1: 0.0884 |
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- Rouge2: 0.024 |
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- Rougel: 0.0883 |
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- Rougelsum: 0.0887 |
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- Gen Len: 16.0081 |
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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: 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: 3 |
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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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| 1.7738 | 1.0 | 7858 | 1.4773 | 0.0796 | 0.0215 | 0.0794 | 0.0799 | 16.2695 | |
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| 1.6313 | 2.0 | 15716 | 1.4103 | 0.0832 | 0.024 | 0.0828 | 0.0833 | 16.0633 | |
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| 1.6204 | 3.0 | 23574 | 1.4010 | 0.0884 | 0.024 | 0.0883 | 0.0887 | 16.0081 | |
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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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