update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: t5-base-da-multiwoz2.1_500
+  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-da-multiwoz2.1_500
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4253
+- Accuracy: 22.6359
+- Num: 3689
+- Gen Len: 15.4806
+
+## 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: 24
+- eval_batch_size: 48
+- seed: 1799
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Num  | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:-------:|
+| 0.5137        | 2.78  | 400  | 0.4454          | 21.1276  | 3689 | 15.569  |
+| 0.4673        | 5.56  | 800  | 0.4329          | 21.7406  | 3689 | 15.4573 |
+| 0.4591        | 8.33  | 1200 | 0.4253          | 22.6359  | 3689 | 15.4806 |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.10.0+cu111
+- Datasets 2.5.1
+- Tokenizers 0.12.1