---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: flan-t5-large-da-multiwoz_250
  results: []
---

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# flan-t5-large-da-multiwoz_250

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3959
- Accuracy: 38.8681
- Num: 3689
- Gen Len: 15.6736

## 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: 8
- eval_batch_size: 24
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:-------:|
| 0.4158        | 0.93  | 200  | 0.4439          | 34.537   | 3689 | 15.8452 |
| 0.3487        | 1.86  | 400  | 0.4358          | 35.7656  | 3689 | 15.6495 |
| 0.3596        | 2.79  | 600  | 0.4304          | 35.4046  | 3689 | 14.8946 |
| 0.3676        | 3.72  | 800  | 0.4186          | 36.5036  | 3689 | 15.0016 |
| 0.4259        | 4.65  | 1000 | 0.4082          | 36.491   | 3689 | 15.4118 |
| 0.4005        | 5.58  | 1200 | 0.4039          | 37.4827  | 3689 | 15.8615 |
| 0.3922        | 6.51  | 1400 | 0.4009          | 38.1076  | 3689 | 15.4286 |
| 0.3656        | 7.44  | 1600 | 0.3998          | 38.8275  | 3689 | 15.7021 |
| 0.3709        | 8.37  | 1800 | 0.3959          | 38.8681  | 3689 | 15.6736 |
| 0.3564        | 9.3   | 2000 | 0.3981          | 38.6742  | 3689 | 15.8406 |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1