Training complete with full dataset

README.md

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+---
+license: apache-2.0
+base_model: google-t5/t5-base
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-base-question-answer-summarization
+  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. -->
+
+# t5-base-question-answer-summarization
+
+This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1424
+- Rouge1: 85.4974
+- Rouge2: 77.0571
+- Rougel: 82.4125
+- Rougelsum: 82.4757
+
+## 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: 5.6e-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: 8
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 0.3381        | 1.0   | 526  | 0.1310          | 85.4136 | 77.2307 | 82.5493 | 82.5887   |
+| 0.1221        | 2.0   | 1052 | 0.1291          | 85.5109 | 77.3495 | 82.5035 | 82.5448   |
+| 0.1008        | 3.0   | 1578 | 0.1293          | 85.7918 | 77.3841 | 82.5218 | 82.5855   |
+| 0.0861        | 4.0   | 2104 | 0.1312          | 85.8164 | 77.5711 | 82.5025 | 82.5955   |
+| 0.075         | 5.0   | 2630 | 0.1358          | 85.769  | 77.3766 | 82.6532 | 82.691    |
+| 0.069         | 6.0   | 3156 | 0.1361          | 85.417  | 76.9087 | 82.397  | 82.4857   |
+| 0.0625        | 7.0   | 3682 | 0.1404          | 85.5539 | 77.0784 | 82.4147 | 82.445    |
+| 0.0595        | 8.0   | 4208 | 0.1424          | 85.4974 | 77.0571 | 82.4125 | 82.4757   |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

generation_config.json

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+  "eos_token_id": 1,
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+  "transformers_version": "4.40.0"
+}

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tokenizer.json

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