
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# gpt2-no_ear-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: 0.5187

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 72.7055       | 0.03  | 10   | 64.5599         |
| 31.1168       | 0.06  | 20   | 18.0645         |
| 7.9718        | 0.08  | 30   | 6.4249          |
| 3.593         | 0.11  | 40   | 2.8392          |
| 1.5931        | 0.14  | 50   | 1.1970          |
| 0.9132        | 0.17  | 60   | 0.8438          |
| 0.9833        | 0.2   | 70   | 0.7343          |
| 0.7158        | 0.23  | 80   | 0.6462          |
| 0.6371        | 0.25  | 90   | 0.6704          |
| 0.5655        | 0.28  | 100  | 0.6012          |
| 0.6755        | 0.31  | 110  | 0.5922          |
| 0.6232        | 0.34  | 120  | 0.5784          |
| 0.5715        | 0.37  | 130  | 0.5718          |
| 0.5352        | 0.4   | 140  | 0.5650          |
| 0.5183        | 0.42  | 150  | 0.5605          |
| 0.6424        | 0.45  | 160  | 0.5563          |
| 0.586         | 0.48  | 170  | 0.5515          |
| 0.58          | 0.51  | 180  | 0.5454          |
| 0.5932        | 0.54  | 190  | 0.5439          |
| 0.5204        | 0.57  | 200  | 0.5377          |
| 0.5654        | 0.59  | 210  | 0.5359          |
| 0.5129        | 0.62  | 220  | 0.5366          |
| 0.5451        | 0.65  | 230  | 0.5330          |
| 0.5637        | 0.68  | 240  | 0.5316          |
| 0.6052        | 0.71  | 250  | 0.5326          |
| 0.5741        | 0.74  | 260  | 0.5286          |
| 0.5437        | 0.76  | 270  | 0.5247          |
| 0.531         | 0.79  | 280  | 0.5262          |
| 0.566         | 0.82  | 290  | 0.5228          |
| 0.6128        | 0.85  | 300  | 0.5197          |
| 0.6034        | 0.88  | 310  | 0.5173          |
| 0.5983        | 0.91  | 320  | 0.5211          |
| 0.5023        | 0.93  | 330  | 0.5212          |
| 0.5662        | 0.96  | 340  | 0.5187          |


### 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-no_ear-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-no\_ear-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: 0.5187


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