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# flan-t5-large-nlg-multiwoz2.0_800

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9178
- Rouge1: 36.3013
- Rouge2: 19.7789
- Rougel: 33.0604
- Rougelsum: 34.5306
- Gen Len: 17.5889

## 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 | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.4671        | 0.3   | 200  | 1.1001          | 32.2008 | 15.6109 | 29.2636 | 30.6894   | 17.5463 |
| 1.1704        | 0.6   | 400  | 1.0132          | 35.1237 | 19.2608 | 32.2073 | 33.6041   | 17.4995 |
| 1.1034        | 0.89  | 600  | 0.9733          | 34.8097 | 17.7552 | 31.3877 | 32.8936   | 18.0388 |
| 1.0207        | 1.19  | 800  | 0.9544          | 34.4615 | 17.7876 | 31.2393 | 32.6945   | 17.8274 |
| 0.9856        | 1.49  | 1000 | 0.9372          | 35.4821 | 19.5844 | 32.4901 | 33.8523   | 17.4778 |
| 0.9826        | 1.79  | 1200 | 0.9236          | 35.2746 | 18.6897 | 32.0828 | 33.6526   | 17.5149 |
| 0.9473        | 2.09  | 1400 | 0.9178          | 36.3013 | 19.7789 | 33.0604 | 34.5306   | 17.5889 |
| 0.9183        | 2.38  | 1600 | 0.9097          | 35.9042 | 19.0983 | 32.4102 | 34.0221   | 17.4669 |
| 0.9314        | 2.68  | 1800 | 0.9011          | 35.7411 | 19.3554 | 32.4951 | 33.9165   | 17.2751 |
| 0.9137        | 2.98  | 2000 | 0.8966          | 35.5147 | 18.593  | 32.1424 | 33.7225   | 17.6211 |


### Framework versions

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

{"tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "flan-t5-large-nlg-multiwoz2.0_800", "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-nlg-multiwoz2.0\_800
==================================


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


* Loss: 0.9178
* Rouge1: 36.3013
* Rouge2: 19.7789
* Rougel: 33.0604
* Rougelsum: 34.5306
* Gen Len: 17.5889


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 #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 #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