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-base-Text-To-Graph
+  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-Text-To-Graph
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2583
+- Rouge1: 15.9211
+- Rouge2: 10.2439
+- Rougel: 15.798
+- Rougelsum: 15.8041
+- Gen Len: 19.0
+
+## 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: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
+| No log        | 1.0   | 49   | 1.9977          | 8.1859  | 1.5645  | 8.0953  | 8.0998    | 18.7308 |
+| No log        | 2.0   | 98   | 1.7956          | 12.432  | 4.5448  | 12.3804 | 12.3753   | 18.7308 |
+| No log        | 3.0   | 147  | 1.6533          | 14.0438 | 7.0658  | 13.9349 | 13.9529   | 18.7308 |
+| No log        | 4.0   | 196  | 1.5491          | 14.0217 | 7.7529  | 13.9337 | 13.9439   | 18.7308 |
+| No log        | 5.0   | 245  | 1.4763          | 14.1269 | 8.3586  | 14.0359 | 14.0413   | 18.7308 |
+| No log        | 6.0   | 294  | 1.4205          | 14.5555 | 8.9978  | 14.4438 | 14.4472   | 18.7308 |
+| No log        | 7.0   | 343  | 1.3769          | 15.4286 | 9.6146  | 15.3249 | 15.3274   | 19.0    |
+| No log        | 8.0   | 392  | 1.3427          | 15.3635 | 9.7892  | 15.253  | 15.2568   | 19.0    |
+| No log        | 9.0   | 441  | 1.3177          | 15.4871 | 9.9136  | 15.36   | 15.371    | 19.0    |
+| No log        | 10.0  | 490  | 1.2978          | 15.6885 | 10.1232 | 15.5719 | 15.5818   | 19.0    |
+| 1.8518        | 11.0  | 539  | 1.2826          | 15.7429 | 10.1854 | 15.6191 | 15.6226   | 19.0    |
+| 1.8518        | 12.0  | 588  | 1.2720          | 15.8945 | 10.1937 | 15.7743 | 15.7814   | 19.0    |
+| 1.8518        | 13.0  | 637  | 1.2645          | 15.9058 | 10.2142 | 15.7815 | 15.7875   | 19.0    |
+| 1.8518        | 14.0  | 686  | 1.2598          | 15.9154 | 10.2352 | 15.7899 | 15.7952   | 19.0    |
+| 1.8518        | 15.0  | 735  | 1.2583          | 15.9211 | 10.2439 | 15.798  | 15.8041   | 19.0    |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+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"
+}

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