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# gpt2-kl_01_04-hs_cn-loto_migrants

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: 0.5142

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 72.7331       | 0.03  | 10   | 64.5524         |
| 31.1386       | 0.06  | 20   | 18.0676         |
| 8.0161        | 0.08  | 30   | 6.4050          |
| 3.3753        | 0.11  | 40   | 2.7106          |
| 1.601         | 0.14  | 50   | 1.1822          |
| 0.9923        | 0.17  | 60   | 0.8619          |
| 1.0632        | 0.2   | 70   | 0.8305          |
| 0.7501        | 0.23  | 80   | 0.6396          |
| 0.6715        | 0.25  | 90   | 0.6099          |
| 0.5965        | 0.28  | 100  | 0.6137          |
| 0.711         | 0.31  | 110  | 0.5942          |
| 0.6546        | 0.34  | 120  | 0.5745          |
| 0.6075        | 0.37  | 130  | 0.5696          |
| 0.5607        | 0.4   | 140  | 0.5633          |
| 0.5469        | 0.42  | 150  | 0.5569          |
| 0.6887        | 0.45  | 160  | 0.5543          |
| 0.6184        | 0.48  | 170  | 0.5495          |
| 0.596         | 0.51  | 180  | 0.5474          |
| 0.6104        | 0.54  | 190  | 0.5442          |
| 0.5553        | 0.57  | 200  | 0.5388          |
| 0.5714        | 0.59  | 210  | 0.5346          |
| 0.534         | 0.62  | 220  | 0.5356          |
| 0.5739        | 0.65  | 230  | 0.5326          |
| 0.5873        | 0.68  | 240  | 0.5298          |
| 0.619         | 0.71  | 250  | 0.5312          |
| 0.6038        | 0.74  | 260  | 0.5282          |
| 0.6058        | 0.76  | 270  | 0.5241          |
| 0.5508        | 0.79  | 280  | 0.5252          |
| 0.5919        | 0.82  | 290  | 0.5233          |
| 0.6513        | 0.85  | 300  | 0.5206          |
| 0.6376        | 0.88  | 310  | 0.5178          |
| 0.6252        | 0.91  | 320  | 0.5181          |
| 0.5341        | 0.93  | 330  | 0.5160          |
| 0.5913        | 0.96  | 340  | 0.5139          |
| 0.6227        | 0.99  | 350  | 0.5143          |
| 0.4582        | 1.02  | 360  | 0.5140          |
| 0.5281        | 1.05  | 370  | 0.5142          |


### 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_migrants", "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\_migrants
=====================================


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


* Loss: 0.5142


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