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: 0.1420
+- Rouge1: 87.2659
+- Rouge2: 79.1621
+- Rougel: 84.0716
+- Rougelsum: 84.0332
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
+| 0.3593        | 1.0   | 450  | 0.1339          | 87.0068 | 78.4882 | 83.5134 | 83.4528   |
+| 0.121         | 2.0   | 900  | 0.1273          | 87.3363 | 79.1644 | 83.7472 | 83.7456   |
+| 0.0982        | 3.0   | 1350 | 0.1314          | 87.0066 | 78.3475 | 83.0262 | 82.9739   |
+| 0.084         | 4.0   | 1800 | 0.1322          | 87.1678 | 78.7514 | 83.4642 | 83.441    |
+| 0.074         | 5.0   | 2250 | 0.1345          | 87.2618 | 79.114  | 83.9859 | 83.9444   |
+| 0.0685        | 6.0   | 2700 | 0.1378          | 87.1497 | 79.0628 | 83.958  | 83.9482   |
+| 0.0609        | 7.0   | 3150 | 0.1419          | 86.993  | 78.781  | 83.8076 | 83.7681   |
+| 0.0591        | 8.0   | 3600 | 0.1420          | 87.2659 | 79.1621 | 84.0716 | 84.0332   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.38.2"
+}

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