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# gpt2-large-NaturalQuestions_1000-ep20

This model is a fine-tuned version of [gpt2-large](https://huggingface.co/gpt2-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6582

## 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: 2e-05
- train_batch_size: 12
- eval_batch_size: 24
- seed: 1799
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2555        | 0.6   | 50   | 1.0453          |
| 0.9434        | 1.19  | 100  | 1.0152          |
| 0.5866        | 1.79  | 150  | 1.0386          |
| 0.3851        | 2.38  | 200  | 1.1380          |
| 0.2864        | 2.98  | 250  | 1.1513          |
| 0.1613        | 3.57  | 300  | 1.2101          |
| 0.1386        | 4.17  | 350  | 1.2794          |
| 0.0886        | 4.76  | 400  | 1.2708          |
| 0.0716        | 5.36  | 450  | 1.3450          |
| 0.0611        | 5.95  | 500  | 1.3262          |
| 0.0353        | 6.55  | 550  | 1.4632          |
| 0.0361        | 7.14  | 600  | 1.4107          |
| 0.0275        | 7.74  | 650  | 1.4471          |
| 0.026         | 8.33  | 700  | 1.4811          |
| 0.0177        | 8.93  | 750  | 1.4831          |
| 0.015         | 9.52  | 800  | 1.4696          |
| 0.0146        | 10.12 | 850  | 1.5135          |
| 0.0126        | 10.71 | 900  | 1.5145          |
| 0.0118        | 11.31 | 950  | 1.5373          |
| 0.0117        | 11.9  | 1000 | 1.5292          |
| 0.0141        | 12.5  | 1050 | 1.5793          |
| 0.0074        | 13.1  | 1100 | 1.5453          |
| 0.0122        | 13.69 | 1150 | 1.5645          |
| 0.0092        | 14.29 | 1200 | 1.5721          |
| 0.0045        | 14.88 | 1250 | 1.5957          |
| 0.0054        | 15.48 | 1300 | 1.6253          |
| 0.0048        | 16.07 | 1350 | 1.6197          |
| 0.0035        | 16.67 | 1400 | 1.6325          |
| 0.0054        | 17.26 | 1450 | 1.6444          |
| 0.0041        | 17.86 | 1500 | 1.6465          |
| 0.0034        | 18.45 | 1550 | 1.6622          |
| 0.0036        | 19.05 | 1600 | 1.6589          |
| 0.0035        | 19.64 | 1650 | 1.6578          |


### Framework versions

- Transformers 4.29.2
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.13.3

{"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "gpt2-large-NaturalQuestions_1000-ep20", "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-large-NaturalQuestions\_1000-ep20
======================================


This model is a fine-tuned version of gpt2-large on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.6582


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: 2e-05
* train\_batch\_size: 12
* eval\_batch\_size: 24
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20


### Training results



### Framework versions


* Transformers 4.29.2
* Pytorch 1.10.0+cu111
* Datasets 2.5.1
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 12
* eval\_batch\_size: 24
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20 ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 1.10.0+cu111
* Datasets 2.5.1
* 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: 2e-05
* train\_batch\_size: 12
* eval\_batch\_size: 24
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20 ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 1.10.0+cu111
* Datasets 2.5.1
* Tokenizers 0.13.3