Training complete

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-finetuned-qmsum
+  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-finetuned-qmsum
+
+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: 3.1567
+- Rouge1: 28.3882
+- Rouge2: 8.4191
+- Rougel: 22.8604
+
+## 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  |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|
+| 3.5399        | 1.0   | 126  | 3.2929          | 27.9871 | 8.2442 | 23.2939 |
+| 3.1401        | 2.0   | 252  | 3.2076          | 27.7588 | 7.6926 | 22.8498 |
+| 2.9706        | 3.0   | 378  | 3.1678          | 28.9533 | 8.4516 | 23.4899 |
+| 2.8244        | 4.0   | 504  | 3.1509          | 28.274  | 8.0721 | 22.897  |
+| 2.7238        | 5.0   | 630  | 3.1472          | 27.9718 | 8.26   | 22.7717 |
+| 2.6687        | 6.0   | 756  | 3.1513          | 28.3972 | 8.4436 | 22.9446 |
+| 2.5844        | 7.0   | 882  | 3.1554          | 28.6233 | 8.5011 | 23.1638 |
+| 2.5715        | 8.0   | 1008 | 3.1567          | 28.3882 | 8.4191 | 22.8604 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- 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": "4.42.4"
+}

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