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# flan-t5-base-da-multiwoz2.1_400-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: 0.3730
- Accuracy: 39.1491
- Num: 7365
- Gen Len: 16.1947

## 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: 16
- eval_batch_size: 80
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:-------:|
| 1.1193        | 2.33  | 400  | 0.5163          | 27.0396  | 7365 | 15.2292 |
| 0.5546        | 4.65  | 800  | 0.4312          | 33.6748  | 7365 | 16.0134 |
| 0.4799        | 6.98  | 1200 | 0.4032          | 34.9177  | 7365 | 15.8893 |
| 0.4377        | 9.3   | 1600 | 0.3886          | 36.8242  | 7365 | 15.6668 |
| 0.4107        | 11.63 | 2000 | 0.3822          | 36.8257  | 7365 | 16.5566 |
| 0.3868        | 13.95 | 2400 | 0.3771          | 38.1012  | 7365 | 16.2304 |
| 0.3695        | 16.28 | 2800 | 0.3738          | 38.9161  | 7365 | 15.9143 |
| 0.3524        | 18.6  | 3200 | 0.3730          | 39.1491  | 7365 | 16.1947 |
| 0.3417        | 20.93 | 3600 | 0.3767          | 40.0655  | 7365 | 15.9227 |
| 0.328         | 23.26 | 4000 | 0.3772          | 39.8485  | 7365 | 15.6276 |
| 0.3181        | 25.58 | 4400 | 0.3795          | 40.2318  | 7365 | 15.9794 |
| 0.3063        | 27.91 | 4800 | 0.3798          | 40.0663  | 7365 | 15.8098 |
| 0.2959        | 30.23 | 5200 | 0.3874          | 40.1586  | 7365 | 16.0183 |


### Framework versions

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

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "flan-t5-base-da-multiwoz2.1_400-loss-ep100", "results": []}]}
transformers pytorch t5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

flan-t5-base-da-multiwoz2.1\_400-loss-ep100
===========================================


This model is a fine-tuned version of google/flan-t5-base on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.3730
* Accuracy: 39.1491
* Num: 7365
* Gen Len: 16.1947


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: 16
* eval\_batch\_size: 80
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 100


### Training results



### Framework versions


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



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 80
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 100 ### Training results ### Framework versions


* Transformers 4.18.0
* Pytorch 1.10.0+cu111
* Datasets 2.5.1
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 80
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 100 ### Training results ### Framework versions


* Transformers 4.18.0
* Pytorch 1.10.0+cu111
* Datasets 2.5.1
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 80
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 100### Training results### Framework versions


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