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# flan-t5-large-clang8-e1-b16

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2994
- Rouge1: 80.9044
- Rouge2: 74.7041
- Rougel: 80.3109
- Rougelsum: 80.3664
- Gen Len: 16.0625

## 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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adafactor
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.2432        | 0.25  | 36000  | 0.4018          | 78.4447 | 71.3656 | 77.7552 | 77.8451   | 15.9010 |
| 0.1837        | 0.49  | 72000  | 0.3781          | 76.8828 | 69.9993 | 76.0584 | 76.1479   | 15.4026 |
| 0.1511        | 0.74  | 108000 | 0.3282          | 79.7898 | 73.329  | 79.1608 | 79.2416   | 15.9021 |
| 0.1267        | 0.98  | 144000 | 0.2994          | 80.9044 | 74.7041 | 80.3109 | 80.3664   | 16.0625 |


### Framework versions

- Transformers 4.27.4
- Pytorch 1.11.0a0+b6df043
- Datasets 2.11.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "flan-t5-large-clang8-e1-b16", "results": []}]}
transformers pytorch tensorboard t5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

flan-t5-large-clang8-e1-b16
===========================


This model is a fine-tuned version of google/flan-t5-large on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 0.2994
* Rouge1: 80.9044
* Rouge2: 74.7041
* Rougel: 80.3109
* Rougelsum: 80.3664
* Gen Len: 16.0625


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: 0.001
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adafactor
* lr\_scheduler\_type: linear
* num\_epochs: 1


### Training results



### Framework versions


* Transformers 4.27.4
* Pytorch 1.11.0a0+b6df043
* Datasets 2.11.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.001
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adafactor
* lr\_scheduler\_type: linear
* num\_epochs: 1 ### Training results ### Framework versions


* Transformers 4.27.4
* Pytorch 1.11.0a0+b6df043
* Datasets 2.11.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #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: 0.001
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adafactor
* lr\_scheduler\_type: linear
* num\_epochs: 1 ### Training results ### Framework versions


* Transformers 4.27.4
* Pytorch 1.11.0a0+b6df043
* Datasets 2.11.0
* Tokenizers 0.13.2