---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: flan-t5-large-da-multiwoz2.1_fs0.05
  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_fs0.05

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3605
- Accuracy: 40.7025
- Num: 3689
- Gen Len: 15.8311

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:-------:|
| 0.9665        | 1.1   | 400  | 0.4662          | 32.999   | 3689 | 15.8777 |
| 0.5021        | 2.2   | 800  | 0.4089          | 35.1765  | 3689 | 15.0667 |
| 0.4467        | 3.3   | 1200 | 0.3839          | 35.8487  | 3689 | 15.7387 |
| 0.4066        | 4.4   | 1600 | 0.3751          | 37.5848  | 3689 | 14.9287 |
| 0.3907        | 5.49  | 2000 | 0.3654          | 38.7608  | 3689 | 15.4836 |
| 0.3644        | 6.59  | 2400 | 0.3620          | 40.1207  | 3689 | 15.154  |
| 0.3623        | 7.69  | 2800 | 0.3605          | 40.7025  | 3689 | 15.8311 |
| 0.3501        | 8.79  | 3200 | 0.3592          | 40.4075  | 3689 | 15.6419 |
| 0.3436        | 9.89  | 3600 | 0.3601          | 40.614   | 3689 | 15.7143 |


### Framework versions

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