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# gpt_16_5_3e-5_lp5_nb5

This model is a fine-tuned version of [skt/kogpt2-base-v2](https://huggingface.co/skt/kogpt2-base-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9078

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.3245        | 0.38  | 1000  | 4.0176          |
| 3.1222        | 0.76  | 2000  | 3.9845          |
| 2.9992        | 1.13  | 3000  | 3.9635          |
| 2.8843        | 1.51  | 4000  | 3.9377          |
| 2.882         | 1.89  | 5000  | 3.9268          |
| 2.7411        | 2.27  | 6000  | 3.9208          |
| 2.7204        | 2.64  | 7000  | 3.9160          |
| 2.7106        | 3.02  | 8000  | 3.9171          |
| 2.5857        | 3.4   | 9000  | 3.9162          |
| 2.5863        | 3.78  | 10000 | 3.9037          |
| 2.5674        | 4.15  | 11000 | 3.9135          |
| 2.4901        | 4.53  | 12000 | 3.9125          |
| 2.505         | 4.91  | 13000 | 3.9078          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.9.0+cu102
- Datasets 2.8.0
- Tokenizers 0.13.2

{"license": "cc-by-nc-sa-4.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "gpt_16_5_3e-5_lp5_nb5", "results": []}]}
transformers pytorch tensorboard gpt2 text-generation generated_from_trainer license:cc-by-nc-sa-4.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #gpt2 #text-generation #generated_from_trainer #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

gpt\_16\_5\_3e-5\_lp5\_nb5
==========================


This model is a fine-tuned version of skt/kogpt2-base-v2 on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 3.9078


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: 3e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 5.0


### Training results



### Framework versions


* Transformers 4.25.1
* Pytorch 1.9.0+cu102
* Datasets 2.8.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 3e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 5.0 ### Training results ### Framework versions


* Transformers 4.25.1
* Pytorch 1.9.0+cu102
* Datasets 2.8.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #gpt2 #text-generation #generated_from_trainer #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 3e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 5.0 ### Training results ### Framework versions


* Transformers 4.25.1
* Pytorch 1.9.0+cu102
* Datasets 2.8.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #gpt2 #text-generation #generated_from_trainer #license-cc-by-nc-sa-4.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 3e-05
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 5.0### Training results### Framework versions


* Transformers 4.25.1
* Pytorch 1.9.0+cu102
* Datasets 2.8.0
* Tokenizers 0.13.2