
<!-- 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-multiwoz2.0_400

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3937
- Accuracy: 42.1678
- Num: 3690
- Gen Len: 15.068

## 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Num  | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:-------:|
| 0.3906        | 0.58  | 200  | 0.3696          | 39.2853  | 3690 | 15.6537 |
| 0.3121        | 1.17  | 400  | 0.3800          | 40.0713  | 3690 | 14.6409 |
| 0.2917        | 1.75  | 600  | 0.3767          | 40.8777  | 3690 | 16.0501 |
| 0.2787        | 2.33  | 800  | 0.3813          | 40.4469  | 3690 | 15.5022 |
| 0.2684        | 2.92  | 1000 | 0.3826          | 40.6007  | 3690 | 15.9691 |
| 0.2513        | 3.5   | 1200 | 0.3930          | 41.4134  | 3690 | 16.142  |
| 0.2575        | 4.08  | 1400 | 0.3993          | 41.1223  | 3690 | 15.6314 |
| 0.2491        | 4.66  | 1600 | 0.3930          | 41.6826  | 3690 | 15.265  |
| 0.2481        | 5.25  | 1800 | 0.3930          | 40.933   | 3690 | 15.9691 |
| 0.2474        | 5.83  | 2000 | 0.3937          | 42.1678  | 3690 | 15.068  |
| 0.2538        | 6.41  | 2200 | 0.3994          | 41.0725  | 3690 | 14.8117 |
| 0.2505        | 7.0   | 2400 | 0.3951          | 41.0125  | 3690 | 15.448  |
| 0.2436        | 7.58  | 2600 | 0.3961          | 41.6418  | 3690 | 15.2146 |


### Framework versions

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

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "flan-t5-large-da-multiwoz2.0_400", "results": []}]}
transformers pytorch t5 text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

flan-t5-large-da-multiwoz2.0\_400
=================================


This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.3937
* Accuracy: 42.1678
* Num: 3690
* Gen Len: 15.068


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: 20


### 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: 20 ### 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 #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: 20 ### 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 #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: 20### Training results### Framework versions


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