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# gpt2-NaturalQuestions_4000-ep20

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2717

## 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: 48
- eval_batch_size: 96
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.7832        | 0.6   | 50   | 1.3857          |
| 1.4409        | 1.19  | 100  | 1.3070          |
| 1.312         | 1.79  | 150  | 1.2716          |
| 1.2412        | 2.38  | 200  | 1.2514          |
| 1.1902        | 2.98  | 250  | 1.2283          |
| 1.1171        | 3.57  | 300  | 1.2307          |
| 1.0728        | 4.17  | 350  | 1.2228          |
| 1.022         | 4.76  | 400  | 1.2145          |
| 1.0001        | 5.36  | 450  | 1.2225          |
| 0.9645        | 5.95  | 500  | 1.2183          |
| 0.9175        | 6.55  | 550  | 1.2185          |
| 0.911         | 7.14  | 600  | 1.2179          |
| 0.877         | 7.74  | 650  | 1.2218          |
| 0.8365        | 8.33  | 700  | 1.2260          |
| 0.8387        | 8.93  | 750  | 1.2223          |
| 0.8047        | 9.52  | 800  | 1.2289          |
| 0.7822        | 10.12 | 850  | 1.2304          |
| 0.7652        | 10.71 | 900  | 1.2353          |
| 0.7502        | 11.31 | 950  | 1.2370          |
| 0.7275        | 11.9  | 1000 | 1.2411          |
| 0.6998        | 12.5  | 1050 | 1.2515          |
| 0.7128        | 13.1  | 1100 | 1.2465          |
| 0.6865        | 13.69 | 1150 | 1.2553          |
| 0.6748        | 14.29 | 1200 | 1.2544          |
| 0.6661        | 14.88 | 1250 | 1.2563          |
| 0.6636        | 15.48 | 1300 | 1.2592          |
| 0.6403        | 16.07 | 1350 | 1.2630          |
| 0.6309        | 16.67 | 1400 | 1.2679          |
| 0.6281        | 17.26 | 1450 | 1.2667          |
| 0.6237        | 17.86 | 1500 | 1.2692          |
| 0.621         | 18.45 | 1550 | 1.2708          |
| 0.6195        | 19.05 | 1600 | 1.2711          |
| 0.6123        | 19.64 | 1650 | 1.2713          |


### 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-NaturalQuestions_4000-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-NaturalQuestions\_4000-ep20
================================


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


* Loss: 1.2717


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: 48
* eval\_batch\_size: 96
* 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: 48
* eval\_batch\_size: 96
* 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: 48
* eval\_batch\_size: 96
* 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