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# model-v3

This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.0643

## 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: 0.0001372
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1268669541
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7294        | 1.0   | 39   | 3.5148          |
| 2.6148        | 2.0   | 78   | 3.5284          |
| 2.157         | 3.0   | 117  | 3.6368          |
| 2.1294        | 4.0   | 156  | 3.6644          |
| 1.9443        | 5.0   | 195  | 3.7962          |
| 1.8812        | 6.0   | 234  | 3.8349          |
| 1.6243        | 7.0   | 273  | 4.0135          |
| 1.5363        | 8.0   | 312  | 4.1426          |
| 1.3983        | 9.0   | 351  | 4.1834          |
| 1.3106        | 10.0  | 390  | 4.1304          |
| 0.9305        | 11.0  | 429  | 4.3527          |
| 1.0721        | 12.0  | 468  | 4.4012          |
| 0.8783        | 13.0  | 507  | 4.5971          |
| 0.8152        | 14.0  | 546  | 4.6419          |
| 0.6485        | 15.0  | 585  | 4.7665          |
| 0.6553        | 16.0  | 624  | 4.9744          |
| 0.5309        | 17.0  | 663  | 4.8834          |
| 0.5271        | 18.0  | 702  | 4.9749          |
| 0.4727        | 19.0  | 741  | 5.0540          |
| 0.4828        | 20.0  | 780  | 5.0643          |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1
- Datasets 2.9.0
- Tokenizers 0.13.2

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "model-v3", "results": []}]}
transformers pytorch gpt2 text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

model-v3
========


This model is a fine-tuned version of distilgpt2 on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 5.0643


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: 0.0001372
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 1268669541
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20


### Training results



### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1
* Datasets 2.9.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001372
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 1268669541
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20 ### Training results ### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001372
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 1268669541
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20 ### Training results ### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001372
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 1268669541
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20### Training results### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1
* Datasets 2.9.0
* Tokenizers 0.13.2