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# flan-t5-large-extraction-all-cnn_8000-ep10-nonstop

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: 1.6878
- Hint Hit Num: 1.924
- Hint Precision: 0.3322
- Num: 5.757
- 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Hint Hit Num | Hint Precision | Num   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------------:|:--------------:|:-----:|:-------:|
| 2.0939        | 0.6   | 200  | 1.7621          | 1.858        | 0.3246         | 5.703 | 18.995  |
| 1.8887        | 1.2   | 400  | 1.7165          | 1.888        | 0.3321         | 5.687 | 18.995  |
| 1.8152        | 1.8   | 600  | 1.6944          | 1.912        | 0.3324         | 5.754 | 19.0    |
| 1.7724        | 2.4   | 800  | 1.6947          | 1.891        | 0.3291         | 5.705 | 19.0    |
| 1.7501        | 2.99  | 1000 | 1.6792          | 1.887        | 0.3288         | 5.722 | 18.994  |
| 1.7014        | 3.59  | 1200 | 1.6855          | 1.911        | 0.3333         | 5.703 | 19.0    |
| 1.6752        | 4.19  | 1400 | 1.6934          | 1.937        | 0.337          | 5.73  | 19.0    |
| 1.6556        | 4.79  | 1600 | 1.6708          | 1.956        | 0.3404         | 5.711 | 19.0    |
| 1.6359        | 5.39  | 1800 | 1.6862          | 1.95         | 0.337          | 5.772 | 18.994  |
| 1.6224        | 5.99  | 2000 | 1.6794          | 1.925        | 0.3348         | 5.724 | 19.0    |
| 1.6088        | 6.59  | 2200 | 1.6879          | 1.973        | 0.342          | 5.765 | 18.994  |
| 1.5895        | 7.19  | 2400 | 1.6858          | 1.938        | 0.3348         | 5.777 | 18.994  |
| 1.5866        | 7.78  | 2600 | 1.6826          | 1.936        | 0.3341         | 5.77  | 19.0    |
| 1.5717        | 8.38  | 2800 | 1.6912          | 1.942        | 0.3357         | 5.758 | 19.0    |
| 1.5594        | 8.98  | 3000 | 1.6879          | 1.932        | 0.3324         | 5.777 | 19.0    |
| 1.5637        | 9.58  | 3200 | 1.6896          | 1.934        | 0.3347         | 5.749 | 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-all-cnn_8000-ep10-nonstop", "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-all-cnn\_8000-ep10-nonstop
===================================================


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: 1.6878
* Hint Hit Num: 1.924
* Hint Precision: 0.3322
* Num: 5.757
* 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: 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: 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: 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: 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 #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: 10 ### Training results ### Framework versions


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