Training complete

README.md

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 ---
-license: mit
+license: apache-2.0
+base_model: t5-base
+tags:
+- summarization
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-base-destination-inference
+  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-base-destination-inference
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1325
+- Rouge1: 21.8
+- Rouge2: 0.0
+- Rougel: 21.8
+- Rougelsum: 21.8
+
+## 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 | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 3.4532        | 1.0   | 250  | 1.8246          | 1.4    | 0.0    | 1.4    | 1.4       |
+| 2.2781        | 2.0   | 500  | 1.5979          | 4.2    | 0.0    | 4.2    | 4.2       |
+| 2.0678        | 3.0   | 750  | 1.4511          | 11.6   | 0.0    | 11.5   | 11.6      |
+| 1.9165        | 4.0   | 1000 | 1.3417          | 14.8   | 0.0    | 14.8   | 14.8      |
+| 1.7977        | 5.0   | 1250 | 1.2545          | 16.4   | 0.0    | 16.4   | 16.4      |
+| 1.7429        | 6.0   | 1500 | 1.1880          | 20.8   | 0.0    | 20.8   | 20.8      |
+| 1.6793        | 7.0   | 1750 | 1.1493          | 21.8   | 0.0    | 21.8   | 21.8      |
+| 1.624         | 8.0   | 2000 | 1.1325          | 21.8   | 0.0    | 21.8   | 21.8      |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.33.3"
+}