Model save

README.md

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+---
+library_name: transformers
+license: cc-by-sa-4.0
+base_model: retrieva-jp/t5-base-medium
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: Question_model_notitle
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# Question_model_notitle
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 1.4010
+- Rouge1: 0.0884
+- Rouge2: 0.024
+- Rougel: 0.0883
+- Rougelsum: 0.0887
+- Gen Len: 16.0081
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 1.7738        | 1.0   | 7858  | 1.4773          | 0.0796 | 0.0215 | 0.0794 | 0.0799    | 16.2695 |
+| 1.6313        | 2.0   | 15716 | 1.4103          | 0.0832 | 0.024  | 0.0828 | 0.0833    | 16.0633 |
+| 1.6204        | 3.0   | 23574 | 1.4010          | 0.0884 | 0.024  | 0.0883 | 0.0887    | 16.0081 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.44.2"
+}

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