Training complete

README.md

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+---
+license: apache-2.0
+base_model: google-t5/t5-small
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-small-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-small-finetuned-qmsum
+
+This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4617
+- Rouge1: 27.6423
+- Rouge2: 8.5163
+- Rougel: 23.1505
+
+## 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  |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|
+| 3.3956        | 1.0   | 126  | 3.5354          | 27.6519 | 8.0746 | 23.1321 |
+| 3.407         | 2.0   | 252  | 3.5115          | 27.4959 | 8.1111 | 23.1004 |
+| 3.36          | 3.0   | 378  | 3.4898          | 27.7611 | 8.3366 | 23.1863 |
+| 3.3032        | 4.0   | 504  | 3.4804          | 27.5676 | 8.2376 | 23.1387 |
+| 3.2602        | 5.0   | 630  | 3.4727          | 28.1638 | 8.6819 | 23.4878 |
+| 3.258         | 6.0   | 756  | 3.4644          | 27.8802 | 8.5634 | 23.3815 |
+| 3.2167        | 7.0   | 882  | 3.4626          | 27.649  | 8.5533 | 23.2101 |
+| 3.203         | 8.0   | 1008 | 3.4617          | 27.6423 | 8.5163 | 23.1505 |
+
+
+### 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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