
<!-- 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-medium-finetuned-brookstraining

This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.8470

## 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: 8
- seed: 42
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 100  | 3.4632          |
| No log        | 2.0   | 200  | 3.4360          |
| No log        | 3.0   | 300  | 3.4539          |
| No log        | 4.0   | 400  | 3.4867          |
| 3.2934        | 5.0   | 500  | 3.5341          |
| 3.2934        | 6.0   | 600  | 3.6145          |
| 3.2934        | 7.0   | 700  | 3.6938          |
| 3.2934        | 8.0   | 800  | 3.8198          |
| 3.2934        | 9.0   | 900  | 3.9274          |
| 2.2258        | 10.0  | 1000 | 4.0388          |
| 2.2258        | 11.0  | 1100 | 4.1807          |
| 2.2258        | 12.0  | 1200 | 4.2635          |
| 2.2258        | 13.0  | 1300 | 4.3549          |
| 2.2258        | 14.0  | 1400 | 4.5134          |
| 1.5305        | 15.0  | 1500 | 4.5719          |
| 1.5305        | 16.0  | 1600 | 4.6932          |
| 1.5305        | 17.0  | 1700 | 4.7392          |
| 1.5305        | 18.0  | 1800 | 4.7729          |
| 1.5305        | 19.0  | 1900 | 4.8324          |
| 1.1988        | 20.0  | 2000 | 4.8470          |


### Framework versions

- Transformers 4.27.4
- Pytorch 1.13.1
- Datasets 2.11.0
- Tokenizers 0.11.0

{"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "gpt2-medium-finetuned-brookstraining", "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-medium-finetuned-brookstraining
====================================


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


* Loss: 4.8470


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: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20


### Training results



### Framework versions


* Transformers 4.27.4
* Pytorch 1.13.1
* Datasets 2.11.0
* Tokenizers 0.11.0



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20 ### Training results ### Framework versions


* Transformers 4.27.4
* Pytorch 1.13.1
* Datasets 2.11.0
* Tokenizers 0.11.0
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: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20 ### Training results ### Framework versions


* Transformers 4.27.4
* Pytorch 1.13.1
* Datasets 2.11.0
* Tokenizers 0.11.0
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: 8
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 20### Training results### Framework versions


* Transformers 4.27.4
* Pytorch 1.13.1
* Datasets 2.11.0
* Tokenizers 0.11.0