End of training

README.md

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+---
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-small-finetuned-new-gettitle
+  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-new-gettitle
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1342
+- Rouge1: 41.0072
+- Rouge2: 21.829
+- Rougel: 36.7872
+- Rougelsum: 36.7623
+- Gen Len: 13.7485
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| 2.5176        | 1.0   | 2050  | 2.2543          | 39.227  | 21.0282 | 35.4225 | 35.4136   | 13.2759 |
+| 2.4304        | 2.0   | 4100  | 2.1874          | 40.0497 | 21.2453 | 36.0247 | 36.0363   | 13.6354 |
+| 2.3839        | 3.0   | 6150  | 2.1550          | 40.579  | 21.5834 | 36.4843 | 36.4847   | 13.6754 |
+| 2.3506        | 4.0   | 8200  | 2.1392          | 41.0029 | 21.8114 | 36.757  | 36.7411   | 13.8856 |
+| 2.328         | 5.0   | 10250 | 2.1342          | 41.0072 | 21.829  | 36.7872 | 36.7623   | 13.7485 |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- 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": "4.40.2"
+}

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