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_unbalanced_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_unbalanced_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: 2.4320
+- Rouge1: 0.2054
+- Rouge2: 0.0753
+- Rougel: 0.1641
+- Rougelsum: 0.1639
+- Gen Len: 18.966
+
+## 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   | 72   | 2.7101          | 0.1773 | 0.0483 | 0.1397 | 0.1396    | 18.9987 |
+| No log        | 2.0   | 144  | 2.3778          | 0.1907 | 0.0614 | 0.1506 | 0.1506    | 18.9913 |
+| No log        | 3.0   | 216  | 2.2716          | 0.1898 | 0.0615 | 0.1506 | 0.1507    | 18.9973 |
+| No log        | 4.0   | 288  | 2.2295          | 0.1922 | 0.0619 | 0.1527 | 0.1528    | 18.992  |
+| No log        | 5.0   | 360  | 2.2176          | 0.1881 | 0.0611 | 0.149  | 0.1493    | 18.9773 |
+| No log        | 6.0   | 432  | 2.2287          | 0.192  | 0.0646 | 0.1534 | 0.1535    | 18.978  |
+| 3.1377        | 7.0   | 504  | 2.1991          | 0.1949 | 0.0658 | 0.1547 | 0.1547    | 18.9867 |
+| 3.1377        | 8.0   | 576  | 2.2397          | 0.198  | 0.0692 | 0.1588 | 0.1588    | 18.9767 |
+| 3.1377        | 9.0   | 648  | 2.2651          | 0.1981 | 0.0693 | 0.1592 | 0.1592    | 18.9593 |
+| 3.1377        | 10.0  | 720  | 2.2766          | 0.2032 | 0.0716 | 0.162  | 0.162     | 18.954  |
+| 3.1377        | 11.0  | 792  | 2.2676          | 0.197  | 0.0663 | 0.1568 | 0.1568    | 18.9733 |
+| 3.1377        | 12.0  | 864  | 2.3104          | 0.2024 | 0.0717 | 0.1603 | 0.1604    | 18.9593 |
+| 3.1377        | 13.0  | 936  | 2.3127          | 0.2031 | 0.0716 | 0.162  | 0.1622    | 18.98   |
+| 1.8667        | 14.0  | 1008 | 2.3402          | 0.2025 | 0.0717 | 0.1615 | 0.1613    | 18.972  |
+| 1.8667        | 15.0  | 1080 | 2.3727          | 0.2037 | 0.0738 | 0.163  | 0.1628    | 18.9787 |
+| 1.8667        | 16.0  | 1152 | 2.3787          | 0.2058 | 0.0747 | 0.1632 | 0.1631    | 18.9747 |
+| 1.8667        | 17.0  | 1224 | 2.3898          | 0.2032 | 0.0735 | 0.1618 | 0.1618    | 18.9753 |
+| 1.8667        | 18.0  | 1296 | 2.4053          | 0.2034 | 0.0738 | 0.1629 | 0.1626    | 18.982  |
+| 1.8667        | 19.0  | 1368 | 2.4229          | 0.2021 | 0.073  | 0.1612 | 0.161     | 18.9693 |
+| 1.8667        | 20.0  | 1440 | 2.4320          | 0.2054 | 0.0753 | 0.1641 | 0.1639    | 18.966  |
+
+
+### 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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