update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: t5-base-DreamBank-Generation-Act-Char
+  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-DreamBank-Generation-Act-Char
+
+This model is a fine-tuned version of [DReAMy-lib/t5-base-DreamBank-Generation-NER-Char](https://huggingface.co/DReAMy-lib/t5-base-DreamBank-Generation-NER-Char) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2627
+- Rouge1: 0.4751
+- Rouge2: 0.3939
+- Rougel: 0.4564
+- Rougelsum: 0.4549
+
+## 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: 0.001
+- 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: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| No log        | 1.0   | 49   | 0.4061          | 0.3684 | 0.2537 | 0.3495 | 0.3484    |
+| No log        | 2.0   | 98   | 0.3563          | 0.4151 | 0.3185 | 0.4043 | 0.4030    |
+| No log        | 3.0   | 147  | 0.3005          | 0.4456 | 0.3588 | 0.4294 | 0.4281    |
+| No log        | 4.0   | 196  | 0.2693          | 0.4743 | 0.3903 | 0.4586 | 0.4574    |
+| No log        | 5.0   | 245  | 0.2627          | 0.4751 | 0.3939 | 0.4564 | 0.4549    |
+| No log        | 6.0   | 294  | 0.2739          | 0.4744 | 0.3920 | 0.4612 | 0.4596    |
+| No log        | 7.0   | 343  | 0.2733          | 0.4702 | 0.3940 | 0.4557 | 0.4549    |
+| No log        | 8.0   | 392  | 0.2861          | 0.4739 | 0.3950 | 0.4614 | 0.4608    |
+| No log        | 9.0   | 441  | 0.3115          | 0.4645 | 0.3868 | 0.4524 | 0.4517    |
+| No log        | 10.0  | 490  | 0.3212          | 0.4655 | 0.3886 | 0.4524 | 0.4518    |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.12.1
+- Datasets 2.5.1
+- Tokenizers 0.12.1