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: extract_long_text_unbalanced_smaller_original_text_4
+  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. -->
+
+# extract_long_text_unbalanced_smaller_original_text_4
+
+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: 2.4822
+- Rouge1: 0.1996
+- Rouge2: 0.0696
+- Rougel: 0.1603
+- Rougelsum: 0.1603
+- Gen Len: 18.9893
+
+## 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   | 2.6068          | 0.1714 | 0.0484 | 0.1369 | 0.1369    | 18.988  |
+| No log        | 2.0   | 144  | 2.3827          | 0.1803 | 0.0547 | 0.1414 | 0.1413    | 18.994  |
+| No log        | 3.0   | 216  | 2.2953          | 0.1858 | 0.0568 | 0.1457 | 0.1458    | 19.0    |
+| No log        | 4.0   | 288  | 2.2509          | 0.1879 | 0.0598 | 0.1479 | 0.1478    | 18.9953 |
+| No log        | 5.0   | 360  | 2.2338          | 0.1837 | 0.0568 | 0.1448 | 0.1449    | 18.9967 |
+| No log        | 6.0   | 432  | 2.2428          | 0.1869 | 0.0608 | 0.1484 | 0.1484    | 18.9953 |
+| 3.0458        | 7.0   | 504  | 2.2195          | 0.1927 | 0.0628 | 0.1537 | 0.1536    | 18.9867 |
+| 3.0458        | 8.0   | 576  | 2.2549          | 0.1933 | 0.0619 | 0.152  | 0.1522    | 18.9967 |
+| 3.0458        | 9.0   | 648  | 2.2675          | 0.1953 | 0.0643 | 0.156  | 0.156     | 18.9607 |
+| 3.0458        | 10.0  | 720  | 2.2858          | 0.198  | 0.0665 | 0.1572 | 0.1573    | 18.9807 |
+| 3.0458        | 11.0  | 792  | 2.2980          | 0.1943 | 0.0653 | 0.1555 | 0.1555    | 18.972  |
+| 3.0458        | 12.0  | 864  | 2.3413          | 0.1998 | 0.0683 | 0.1596 | 0.1595    | 18.9807 |
+| 3.0458        | 13.0  | 936  | 2.3324          | 0.1988 | 0.0677 | 0.1587 | 0.1585    | 18.9733 |
+| 1.907         | 14.0  | 1008 | 2.3481          | 0.2002 | 0.0688 | 0.1598 | 0.1599    | 18.9913 |
+| 1.907         | 15.0  | 1080 | 2.4027          | 0.2024 | 0.0705 | 0.1616 | 0.1616    | 18.9887 |
+| 1.907         | 16.0  | 1152 | 2.4132          | 0.2031 | 0.0728 | 0.1633 | 0.1634    | 18.9833 |
+| 1.907         | 17.0  | 1224 | 2.4393          | 0.1988 | 0.0683 | 0.1584 | 0.1584    | 18.9853 |
+| 1.907         | 18.0  | 1296 | 2.4435          | 0.199  | 0.0699 | 0.1591 | 0.1592    | 18.9867 |
+| 1.907         | 19.0  | 1368 | 2.4703          | 0.2013 | 0.0704 | 0.1606 | 0.1608    | 18.9873 |
+| 1.907         | 20.0  | 1440 | 2.4822          | 0.1996 | 0.0696 | 0.1603 | 0.1603    | 18.9893 |
+
+
+### 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