kikaigakushuu
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README.md
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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
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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
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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: 1.3897
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- Rouge1: 0.084
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- Rouge2: 0.0231
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- Rougel: 0.0841
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- Rougelsum: 0.084
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- Gen Len: 16.1261
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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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| 1.8553 | 1.0 | 3929 | 1.5122 | 0.0843 | 0.0234 | 0.0843 | 0.0842 | 16.4606 |
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| 1.667 | 2.0 | 7858 | 1.4251 | 0.0853 | 0.0244 | 0.0854 | 0.085 | 16.2274 |
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| 1.5854 | 3.0 | 11787 | 1.3959 | 0.0814 | 0.0222 | 0.0816 | 0.0814 | 16.0416 |
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| 1.56 | 4.0 | 15716 | 1.3897 | 0.084 | 0.0231 | 0.0841 | 0.084 | 16.1261 |
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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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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.44.2"
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}
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runs/Nov23_16-57-35_536ec949f853/events.out.tfevents.1732381077.536ec949f853.183.0
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 14198
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