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# gpt2-ear_1_migrants-hs_cn

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: 0.5331

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 69.995        | 0.03  | 10   | 64.5661         |
| 28.3476       | 0.06  | 20   | 18.0685         |
| 5.2324        | 0.08  | 30   | 6.3912          |
| 0.7104        | 0.11  | 40   | 2.7627          |
| -0.8669       | 0.14  | 50   | 1.2027          |
| -1.7912       | 0.17  | 60   | 0.8591          |
| -1.7957       | 0.2   | 70   | 0.7706          |
| -2.1587       | 0.23  | 80   | 0.7197          |
| -2.1961       | 0.25  | 90   | 0.6167          |
| -2.1901       | 0.28  | 100  | 0.6059          |
| -2.0514       | 0.31  | 110  | 0.5845          |
| -2.0839       | 0.34  | 120  | 0.5717          |
| -2.1579       | 0.37  | 130  | 0.5667          |
| -2.0266       | 0.4   | 140  | 0.5601          |
| -2.2698       | 0.42  | 150  | 0.5582          |
| -2.1635       | 0.45  | 160  | 0.5694          |
| -2.1359       | 0.48  | 170  | 0.5584          |
| -2.1628       | 0.51  | 180  | 0.5510          |
| -2.0485       | 0.54  | 190  | 0.5520          |
| -2.1333       | 0.57  | 200  | 0.5431          |
| -2.2908       | 0.59  | 210  | 0.5438          |
| -2.1131       | 0.62  | 220  | 0.5545          |
| -2.1988       | 0.65  | 230  | 0.5371          |
| -2.187        | 0.68  | 240  | 0.5349          |
| -2.0381       | 0.71  | 250  | 0.5504          |
| -2.1413       | 0.74  | 260  | 0.5293          |
| -2.0951       | 0.76  | 270  | 0.5257          |
| -2.2314       | 0.79  | 280  | 0.5263          |
| -2.1851       | 0.82  | 290  | 0.5291          |
| -2.2318       | 0.85  | 300  | 0.5331          |


### Framework versions

- Transformers 4.29.0.dev0
- Pytorch 1.12.0a0+bd13bc6
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "gpt2-ear_1_migrants-hs_cn", "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-ear\_1\_migrants-hs\_cn
============================


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


* Loss: 0.5331


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 4.29.0.dev0
* Pytorch 1.12.0a0+bd13bc6
* Datasets 2.12.0
* 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 4.29.0.dev0
* Pytorch 1.12.0a0+bd13bc6
* Datasets 2.12.0
* 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 4.29.0.dev0
* Pytorch 1.12.0a0+bd13bc6
* Datasets 2.12.0
* Tokenizers 0.13.3