---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: t5-base-da-multiwoz2.1_500
  results: []
---

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# 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