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# flan-t5-large-extraction-cnndm_4000-all-hint_hit-ep20

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: 1.7485
- Hint Hit: 1.114
- Hint Hit Num: 2.074
- Hint Precision: 0.3494
- Hint Bleu: 3.8084
- Num: 5.914
- 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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Hint Hit | Hint Hit Num | Hint Precision | Hint Bleu | Num   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------------:|:--------------:|:---------:|:-----:|:-------:|
| 2.1456        | 0.4   | 200  | 1.8334          | 0.962    | 1.938        | 0.3358         | 3.6152    | 5.842 | 18.986  |
| 1.9791        | 0.8   | 400  | 1.7728          | 1.025    | 2.0          | 0.3418         | 3.7262    | 5.9   | 18.986  |
| 1.8807        | 1.2   | 600  | 1.7601          | 1.007    | 1.942        | 0.3417         | 3.6237    | 5.682 | 18.986  |
| 1.8082        | 1.6   | 800  | 1.7609          | 1.067    | 2.01         | 0.3468         | 3.6764    | 5.782 | 18.99   |
| 1.8193        | 2.0   | 1000 | 1.7262          | 1.0745   | 2.02         | 0.3473         | 3.6407    | 5.802 | 19.0    |
| 1.7098        | 2.4   | 1200 | 1.7295          | 1.087    | 2.016        | 0.3501         | 3.7051    | 5.732 | 18.998  |
| 1.702         | 2.8   | 1400 | 1.7391          | 0.9745   | 1.936        | 0.3353         | 3.5292    | 5.782 | 19.0    |
| 1.6659        | 3.2   | 1600 | 1.7512          | 1.0175   | 1.97         | 0.3393         | 3.6971    | 5.78  | 18.996  |
| 1.6216        | 3.6   | 1800 | 1.7485          | 1.114    | 2.074        | 0.3494         | 3.8084    | 5.914 | 19.0    |
| 1.6217        | 4.0   | 2000 | 1.7286          | 1.048    | 1.996        | 0.3421         | 3.5672    | 5.788 | 19.0    |
| 1.5645        | 4.4   | 2200 | 1.7570          | 1.0425   | 2.008        | 0.3415         | 3.6057    | 5.87  | 19.0    |
| 1.5454        | 4.8   | 2400 | 1.7453          | 1.014    | 1.98         | 0.3375         | 3.5896    | 5.844 | 19.0    |
| 1.5012        | 5.2   | 2600 | 1.7661          | 1.0905   | 2.048        | 0.3489         | 3.696     | 5.878 | 19.0    |
| 1.4867        | 5.6   | 2800 | 1.7647          | 1.0795   | 2.034        | 0.3472         | 3.6454    | 5.852 | 19.0    |


### 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"], "model-index": [{"name": "flan-t5-large-extraction-cnndm_4000-all-hint_hit-ep20", "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-extraction-cnndm\_4000-all-hint\_hit-ep20
=======================================================


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: 1.7485
* Hint Hit: 1.114
* Hint Hit Num: 2.074
* Hint Precision: 0.3494
* Hint Bleu: 3.8084
* Num: 5.914
* 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: 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 #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: 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 #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: 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