End of training

README.md

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+---
+base_model: weny22/sum_model_t5_saved
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: long_text_balanced_smaller_original_text
+  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. -->
+
+# long_text_balanced_smaller_original_text
+
+This model is a fine-tuned version of [weny22/sum_model_t5_saved](https://huggingface.co/weny22/sum_model_t5_saved) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3143
+- Rouge1: 0.2101
+- Rouge2: 0.0804
+- Rougel: 0.1705
+- Rougelsum: 0.1707
+- Gen Len: 18.986
+
+## 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: 0.002
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| No log        | 1.0   | 119  | 2.3387          | 0.1849 | 0.0583 | 0.1474 | 0.1475    | 18.98   |
+| No log        | 2.0   | 238  | 2.1768          | 0.1954 | 0.0647 | 0.1538 | 0.1537    | 18.9707 |
+| No log        | 3.0   | 357  | 2.1282          | 0.1952 | 0.0637 | 0.1537 | 0.1536    | 18.9947 |
+| No log        | 4.0   | 476  | 2.1173          | 0.1953 | 0.0683 | 0.1559 | 0.1557    | 18.9813 |
+| 2.7944        | 5.0   | 595  | 2.0873          | 0.2022 | 0.0743 | 0.1624 | 0.1623    | 18.976  |
+| 2.7944        | 6.0   | 714  | 2.0851          | 0.2054 | 0.0769 | 0.1652 | 0.1653    | 18.9887 |
+| 2.7944        | 7.0   | 833  | 2.0948          | 0.2043 | 0.0762 | 0.1633 | 0.1632    | 18.972  |
+| 2.7944        | 8.0   | 952  | 2.1123          | 0.1992 | 0.0745 | 0.1607 | 0.1605    | 18.9673 |
+| 1.9807        | 9.0   | 1071 | 2.1280          | 0.2067 | 0.0779 | 0.1669 | 0.1669    | 18.9767 |
+| 1.9807        | 10.0  | 1190 | 2.1251          | 0.2124 | 0.0801 | 0.1705 | 0.1704    | 18.99   |
+| 1.9807        | 11.0  | 1309 | 2.1286          | 0.2069 | 0.0772 | 0.1668 | 0.1668    | 18.9927 |
+| 1.9807        | 12.0  | 1428 | 2.1592          | 0.2096 | 0.0786 | 0.1688 | 0.1689    | 18.972  |
+| 1.6485        | 13.0  | 1547 | 2.1811          | 0.2069 | 0.0789 | 0.1688 | 0.1689    | 18.9973 |
+| 1.6485        | 14.0  | 1666 | 2.2124          | 0.2089 | 0.079  | 0.1686 | 0.1688    | 18.968  |
+| 1.6485        | 15.0  | 1785 | 2.2187          | 0.2107 | 0.0797 | 0.1693 | 0.1695    | 18.9893 |
+| 1.6485        | 16.0  | 1904 | 2.2438          | 0.2097 | 0.0793 | 0.1695 | 0.1695    | 18.9787 |
+| 1.4186        | 17.0  | 2023 | 2.2685          | 0.2092 | 0.0799 | 0.1692 | 0.1693    | 18.99   |
+| 1.4186        | 18.0  | 2142 | 2.2733          | 0.2085 | 0.0788 | 0.1684 | 0.1686    | 18.9747 |
+| 1.4186        | 19.0  | 2261 | 2.2947          | 0.2087 | 0.0803 | 0.1696 | 0.1696    | 18.9813 |
+| 1.4186        | 20.0  | 2380 | 2.3143          | 0.2101 | 0.0804 | 0.1705 | 0.1707    | 18.986  |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.2+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"
+}

model.safetensors

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 size 362139048