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

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: 0.3373
- Accuracy: 43.2245
- Num: 3689
- Gen Len: 15.3058

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:-------:|
| 0.9683        | 0.56  | 400  | 0.4608          | 31.0524  | 3689 | 14.9279 |
| 0.5046        | 1.13  | 800  | 0.4028          | 35.7175  | 3689 | 15.1651 |
| 0.4488        | 1.69  | 1200 | 0.3803          | 36.4952  | 3689 | 16.3375 |
| 0.4267        | 2.25  | 1600 | 0.3613          | 38.4613  | 3689 | 15.2646 |
| 0.4003        | 2.81  | 2000 | 0.3538          | 39.8281  | 3689 | 15.5842 |
| 0.3862        | 3.38  | 2400 | 0.3497          | 40.0593  | 3689 | 15.2356 |
| 0.3729        | 3.94  | 2800 | 0.3433          | 40.857   | 3689 | 15.9675 |
| 0.3632        | 4.5   | 3200 | 0.3457          | 41.157   | 3689 | 15.8818 |
| 0.3534        | 5.06  | 3600 | 0.3367          | 42.9369  | 3689 | 15.7314 |
| 0.3432        | 5.63  | 4000 | 0.3358          | 41.9514  | 3689 | 15.7173 |
| 0.3395        | 6.19  | 4400 | 0.3373          | 43.2245  | 3689 | 15.3058 |
| 0.3345        | 6.75  | 4800 | 0.3351          | 42.4941  | 3689 | 14.8916 |
| 0.3266        | 7.31  | 5200 | 0.3360          | 42.9742  | 3689 | 15.7124 |
| 0.3233        | 7.88  | 5600 | 0.3327          | 43.1362  | 3689 | 15.9379 |


### 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-large-da-multiwoz2.1_fs0.1", "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-large-da-multiwoz2.1\_fs0.1
===================================


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


* Loss: 0.3373
* Accuracy: 43.2245
* Num: 3689
* Gen Len: 15.3058


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



### 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: 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 ### 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: 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 ### 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: 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### Framework versions


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