---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: flan-t5-base-da-multiwoz2.0_80-loss-ep100
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# flan-t5-base-da-multiwoz2.0_80-loss-ep100

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4747
- Accuracy: 33.008
- Num: 7358
- Gen Len: 16.5684

## 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: 60
- eval_batch_size: 400
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Num  | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:-------:|
| 1.3481        | 20.0  | 200  | 0.5537          | 26.9473  | 7358 | 15.6079 |
| 0.564         | 40.0  | 400  | 0.4902          | 31.3033  | 7358 | 16.6331 |
| 0.4647        | 60.0  | 600  | 0.4747          | 33.008   | 7358 | 16.5684 |
| 0.4171        | 80.0  | 800  | 0.4818          | 33.1704  | 7358 | 16.5529 |
| 0.4009        | 100.0 | 1000 | 0.4793          | 33.533   | 7358 | 16.4897 |


### Framework versions

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