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# gpt2-kl_01_04-hs_cn-loto_lgbt

This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5297

## 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: 8
- eval_batch_size: 4
- seed: 21
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 72.2334       | 0.03  | 10   | 64.5474         |
| 30.2905       | 0.06  | 20   | 17.8612         |
| 8.886         | 0.08  | 30   | 6.3404          |
| 3.4861        | 0.11  | 40   | 2.6744          |
| 1.6441        | 0.14  | 50   | 1.1987          |
| 0.9746        | 0.17  | 60   | 0.8715          |
| 1.0152        | 0.2   | 70   | 0.7307          |
| 0.7374        | 0.23  | 80   | 0.6868          |
| 0.6436        | 0.25  | 90   | 0.6203          |
| 0.7525        | 0.28  | 100  | 0.6001          |
| 0.6146        | 0.31  | 110  | 0.5946          |
| 0.5676        | 0.34  | 120  | 0.5914          |
| 0.563         | 0.37  | 130  | 0.5716          |
| 0.6439        | 0.4   | 140  | 0.5743          |
| 0.5706        | 0.42  | 150  | 0.5702          |
| 0.689         | 0.45  | 160  | 0.5696          |
| 0.5986        | 0.48  | 170  | 0.5557          |
| 0.6159        | 0.51  | 180  | 0.5606          |
| 0.5925        | 0.54  | 190  | 0.5498          |
| 0.6124        | 0.57  | 200  | 0.5496          |
| 0.559         | 0.59  | 210  | 0.5501          |
| 0.6202        | 0.62  | 220  | 0.5544          |
| 0.6504        | 0.65  | 230  | 0.5486          |
| 0.697         | 0.68  | 240  | 0.5528          |
| 0.5171        | 0.71  | 250  | 0.5522          |
| 0.6247        | 0.74  | 260  | 0.5390          |
| 0.5882        | 0.76  | 270  | 0.5350          |
| 0.5941        | 0.79  | 280  | 0.5339          |
| 0.5673        | 0.82  | 290  | 0.5321          |
| 0.6336        | 0.85  | 300  | 0.5307          |
| 0.5581        | 0.88  | 310  | 0.5264          |
| 0.5499        | 0.91  | 320  | 0.5251          |
| 0.5626        | 0.93  | 330  | 0.5227          |
| 0.5443        | 0.96  | 340  | 0.5205          |
| 0.6252        | 0.99  | 350  | 0.5215          |
| 0.5427        | 1.02  | 360  | 0.5241          |
| 0.5231        | 1.05  | 370  | 0.5297          |


### Framework versions

- Transformers 4.28.0
- Pytorch 1.11.0+cu113
- Datasets 2.11.0
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "gpt2-kl_01_04-hs_cn-loto_lgbt", "results": []}]}
transformers pytorch gpt2 text-generation generated_from_trainer license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

gpt2-kl\_01\_04-hs\_cn-loto\_lgbt
=================================


This model is a fine-tuned version of gpt2-medium on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 0.5297


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: 8
* eval\_batch\_size: 4
* seed: 21
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 3.0


### Training results



### Framework versions


* Transformers 4.28.0
* Pytorch 1.11.0+cu113
* Datasets 2.11.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 8
* eval\_batch\_size: 4
* seed: 21
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 3.0 ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 1.11.0+cu113
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #license-mit #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: 8
* eval\_batch\_size: 4
* seed: 21
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_ratio: 0.1
* num\_epochs: 3.0 ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 1.11.0+cu113
* Datasets 2.11.0
* Tokenizers 0.13.3