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_1
+  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_1
+
+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: 1.2892
+- Rouge1: 0.086
+- Rouge2: 0.0236
+- Rougel: 0.0858
+- Rougelsum: 0.0856
+- Gen Len: 16.5234
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 1.6228        | 1.0   | 7858  | 1.3471          | 0.0811 | 0.0207 | 0.0811 | 0.0811    | 16.6484 |
+| 1.5099        | 2.0   | 15716 | 1.2962          | 0.0863 | 0.0231 | 0.0863 | 0.0861    | 16.5369 |
+| 1.499         | 3.0   | 23574 | 1.2892          | 0.086  | 0.0236 | 0.0858 | 0.0856    | 16.5234 |
+
+
+### 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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runs/Nov30_14-17-28_536ec949f853/events.out.tfevents.1732976270.536ec949f853.201.0

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