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# flan-t5-large-extraction-cnndm_2000-all-hint_precision-ep10

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8074
- Hint Hit: 1.1835
- Hint Hit Num: 2.124
- Hint Precision: 0.3635
- Hint Bleu: 3.8356
- Num: 5.886
- Gen Len: 19.0

## 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 | Hint Hit | Hint Hit Num | Hint Precision | Hint Bleu | Num   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------------:|:--------------:|:---------:|:-----:|:-------:|
| 1.4841        | 1.6   | 400  | 1.8074          | 1.1835   | 2.124        | 0.3635         | 3.8356    | 5.886 | 19.0    |
| 1.3607        | 3.2   | 800  | 1.8859          | 0.987    | 1.956        | 0.3355         | 3.5039    | 5.832 | 18.99   |
| 1.362         | 4.8   | 1200 | 1.8439          | 1.0915   | 2.04         | 0.351          | 3.6963    | 5.834 | 19.0    |
| 1.3634        | 6.4   | 1600 | 1.8609          | 1.0995   | 2.062        | 0.351          | 3.7585    | 5.912 | 18.978  |
| 1.3221        | 8.0   | 2000 | 1.8717          | 1.1175   | 2.058        | 0.3535         | 3.71      | 5.82  | 18.99   |
| 1.2845        | 9.6   | 2400 | 1.8741          | 1.151    | 2.09         | 0.3582         | 3.7956    | 5.846 | 18.978  |


### Framework versions

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

{"tags": ["generated_from_trainer"], "model-index": [{"name": "flan-t5-large-extraction-cnndm_2000-all-hint_precision-ep10", "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-extraction-cnndm\_2000-all-hint\_precision-ep10
=============================================================


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


* Loss: 1.8074
* Hint Hit: 1.1835
* Hint Hit Num: 2.124
* Hint Precision: 0.3635
* Hint Bleu: 3.8356
* Num: 5.886
* Gen Len: 19.0


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