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# flan-t5-large-da-multiwoz2.0_400-loss-ep50

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: 0.3645
- Accuracy: 41.095
- Num: 7358
- Gen Len: 15.742

## 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: 24
- eval_batch_size: 192
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Num  | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:----:|:-------:|
| 1.1167        | 1.74  | 200  | 0.4747          | 31.234   | 7358 | 15.2488 |
| 0.5091        | 3.48  | 400  | 0.4131          | 34.1646  | 7358 | 15.8133 |
| 0.4437        | 5.22  | 600  | 0.3853          | 36.2445  | 7358 | 16.1331 |
| 0.404         | 6.96  | 800  | 0.3737          | 37.5071  | 7358 | 14.6509 |
| 0.3757        | 8.7   | 1000 | 0.3716          | 38.9774  | 7358 | 15.2675 |
| 0.3572        | 10.43 | 1200 | 0.3656          | 40.1172  | 7358 | 15.8316 |
| 0.3442        | 12.17 | 1400 | 0.3672          | 39.8165  | 7358 | 15.8572 |
| 0.3278        | 13.91 | 1600 | 0.3667          | 40.5284  | 7358 | 15.4951 |
| 0.3111        | 15.65 | 1800 | 0.3645          | 41.095   | 7358 | 15.742  |
| 0.3026        | 17.39 | 2000 | 0.3719          | 40.8885  | 7358 | 15.6101 |
| 0.2876        | 19.13 | 2200 | 0.3813          | 40.3016  | 7358 | 15.3199 |
| 0.2809        | 20.87 | 2400 | 0.3765          | 41.9514  | 7358 | 15.7381 |
| 0.2685        | 22.61 | 2600 | 0.3841          | 41.8625  | 7358 | 15.5582 |
| 0.2609        | 24.35 | 2800 | 0.3922          | 42.1265  | 7358 | 15.8797 |


### 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-multiwoz2.0_400-loss-ep50", "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-multiwoz2.0\_400-loss-ep50
===========================================


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: 0.3645
* Accuracy: 41.095
* Num: 7358
* Gen Len: 15.742


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: 24
* eval\_batch\_size: 192
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50


### 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: 24
* eval\_batch\_size: 192
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50 ### 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: 24
* eval\_batch\_size: 192
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50 ### 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: 24
* eval\_batch\_size: 192
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 50### Training results### Framework versions


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