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# flan-t5-base-da-multiwoz2.0_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: 0.3741
- Accuracy: 39.1797
- Num: 7358
- Gen Len: 15.6147

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:-------:|
| 1.1208        | 2.33  | 400  | 0.5132          | 26.0596  | 7358 | 14.302  |
| 0.553         | 4.65  | 800  | 0.4287          | 33.6512  | 7358 | 15.3968 |
| 0.4783        | 6.98  | 1200 | 0.4007          | 35.3232  | 7358 | 15.8898 |
| 0.4379        | 9.3   | 1600 | 0.3908          | 36.7949  | 7358 | 15.5749 |
| 0.4097        | 11.63 | 2000 | 0.3851          | 36.8451  | 7358 | 16.4447 |
| 0.3859        | 13.95 | 2400 | 0.3770          | 37.9797  | 7358 | 16.2493 |
| 0.3675        | 16.28 | 2800 | 0.3741          | 39.2162  | 7358 | 16.0883 |
| 0.3519        | 18.6  | 3200 | 0.3741          | 39.1797  | 7358 | 15.6147 |
| 0.34          | 20.93 | 3600 | 0.3757          | 40.1516  | 7358 | 15.8101 |
| 0.3277        | 23.26 | 4000 | 0.3774          | 40.2096  | 7358 | 15.8341 |
| 0.3181        | 25.58 | 4400 | 0.3755          | 40.3496  | 7358 | 15.4981 |
| 0.3063        | 27.91 | 4800 | 0.3782          | 40.6828  | 7358 | 15.5501 |
| 0.2934        | 30.23 | 5200 | 0.3831          | 40.8427  | 7358 | 15.8903 |


### 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-multiwoz2.0_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-multiwoz2.0\_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: 0.3741
* Accuracy: 39.1797
* Num: 7358
* Gen Len: 15.6147


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