---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: flan-t5-large-da-multiwoz2.1_fs0.01
  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. -->

# flan-t5-large-da-multiwoz2.1_fs0.01

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4733
- Accuracy: 35.7018
- Num: 3689
- Gen Len: 16.0656

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Num  | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:-------:|
| 0.4198        | 2.6   | 200  | 0.4959          | 33.3159  | 3689 | 17.0976 |
| 0.3487        | 5.19  | 400  | 0.5050          | 33.9202  | 3689 | 16.9694 |
| 0.4306        | 7.79  | 600  | 0.4597          | 34.2354  | 3689 | 16.7612 |
| 0.38          | 10.39 | 800  | 0.4668          | 35.3878  | 3689 | 16.5993 |
| 0.3563        | 12.99 | 1000 | 0.4622          | 34.9845  | 3689 | 15.743  |
| 0.3208        | 15.58 | 1200 | 0.4668          | 35.6226  | 3689 | 16.1944 |
| 0.3137        | 18.18 | 1400 | 0.4733          | 35.7018  | 3689 | 16.0656 |


### Framework versions

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