
<!-- 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-extraction-cnndm_4000-all-hint_precision-ep10

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0572
- Hint Hit: 1.154
- Hint Hit Num: 2.106
- Hint Precision: 0.3563
- Hint Bleu: 3.8159
- Num: 5.914
- Gen Len: 18.98

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------------:|:--------------:|:---------:|:-----:|:-------:|
| 1.0982        | 0.8   | 400  | 1.9452          | 1.093    | 2.064        | 0.3494         | 3.6663    | 5.948 | 18.986  |
| 1.0291        | 1.6   | 800  | 2.0448          | 1.0975   | 2.086        | 0.3489         | 3.8148    | 6.04  | 18.988  |
| 0.9856        | 2.4   | 1200 | 2.0572          | 1.154    | 2.106        | 0.3563         | 3.8159    | 5.914 | 18.98   |
| 1.1174        | 3.2   | 1600 | 2.0025          | 1.0885   | 2.066        | 0.3489         | 3.7311    | 5.976 | 18.992  |
| 1.0846        | 4.0   | 2000 | 1.9925          | 1.1005   | 2.068        | 0.3523         | 3.7582    | 5.938 | 18.994  |
| 1.0633        | 4.8   | 2400 | 2.0297          | 1.042    | 2.008        | 0.3436         | 3.6891    | 5.872 | 18.99   |
| 1.0466        | 5.6   | 2800 | 2.0564          | 1.102    | 2.068        | 0.3512         | 3.7983    | 5.932 | 18.992  |
| 1.0527        | 6.4   | 3200 | 2.0553          | 1.11     | 2.084        | 0.3511         | 3.7702    | 5.98  | 18.998  |


### 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_4000-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\_4000-all-hint\_precision-ep10
=============================================================


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


* Loss: 2.0572
* Hint Hit: 1.154
* Hint Hit Num: 2.106
* Hint Precision: 0.3563
* Hint Bleu: 3.8159
* Num: 5.914
* Gen Len: 18.98


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