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# model-generator

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8599

## 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: 1095733745
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.1638        | 1.0   | 39   | 1.8853          |
| 2.0191        | 2.0   | 78   | 1.8145          |
| 1.6018        | 3.0   | 117  | 1.7975          |
| 1.3395        | 4.0   | 156  | 1.8117          |
| 1.0896        | 5.0   | 195  | 1.8599          |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.1.0.dev20230520
- Datasets 2.12.0
- Tokenizers 0.13.3

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

model-generator
===============


This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.8599


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: 1095733745
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5


### Training results



### Framework versions


* Transformers 4.29.2
* Pytorch 2.1.0.dev20230520
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001372
* train\_batch\_size: 8
* eval\_batch\_size: 8
* seed: 1095733745
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5 ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 2.1.0.dev20230520
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #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: 1095733745
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5 ### Training results ### Framework versions


* Transformers 4.29.2
* Pytorch 2.1.0.dev20230520
* Datasets 2.12.0
* Tokenizers 0.13.3