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# Finetuned_FLAN-T5_VALUE_adapterfusion_lr5e-5_bs64

This model is a fine-tuned version of [liuyanchen1015/FLAN-T5_GLUE_finetuning_lr3e-4](https://huggingface.co/liuyanchen1015/FLAN-T5_GLUE_finetuning_lr3e-4) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0879
- Accuracy: 0.8776

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.0597        | 0.07  | 1000  | 0.0890          | 0.8752   |
| 0.055         | 0.14  | 2000  | 0.0886          | 0.8768   |
| 0.0545        | 0.2   | 3000  | 0.0870          | 0.8746   |
| 0.0526        | 0.27  | 4000  | 0.0881          | 0.8756   |
| 0.0515        | 0.34  | 5000  | 0.0876          | 0.8756   |
| 0.0501        | 0.41  | 6000  | 0.0885          | 0.8788   |
| 0.0497        | 0.47  | 7000  | 0.0908          | 0.8756   |
| 0.0498        | 0.54  | 8000  | 0.0899          | 0.8776   |
| 0.0509        | 0.61  | 9000  | 0.0902          | 0.8754   |
| 0.0504        | 0.68  | 10000 | 0.0898          | 0.8736   |
| 0.049         | 0.74  | 11000 | 0.0879          | 0.8734   |
| 0.0494        | 0.81  | 12000 | 0.0878          | 0.8746   |
| 0.0477        | 0.88  | 13000 | 0.0883          | 0.8766   |
| 0.0498        | 0.95  | 14000 | 0.0879          | 0.8776   |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.0+cu117
- Datasets 2.10.1
- Tokenizers 0.12.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "Finetuned_FLAN-T5_VALUE_adapterfusion_lr5e-5_bs64", "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 

Finetuned\_FLAN-T5\_VALUE\_adapterfusion\_lr5e-5\_bs64
======================================================


This model is a fine-tuned version of liuyanchen1015/FLAN-T5\_GLUE\_finetuning\_lr3e-4 on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 0.0879
* Accuracy: 0.8776


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: 5e-05
* train\_batch\_size: 64
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1.0


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.0+cu117
* Datasets 2.10.1
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 64
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1.0 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.0+cu117
* Datasets 2.10.1
* 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: 5e-05
* train\_batch\_size: 64
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1.0 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.0+cu117
* Datasets 2.10.1
* 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: 5e-05
* train\_batch\_size: 64
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1.0### Training results### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.0+cu117
* Datasets 2.10.1
* Tokenizers 0.12.1