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# output

This model is a fine-tuned version of [EleutherAI/gpt-j-6B](https://huggingface.co/EleutherAI/gpt-j-6B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan

## 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: 0.001
- train_batch_size: 14
- eval_batch_size: 14
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.03  | 10   | nan             |
| No log        | 0.06  | 20   | nan             |
| No log        | 0.08  | 30   | nan             |
| No log        | 0.11  | 40   | nan             |
| No log        | 0.14  | 50   | nan             |
| No log        | 0.17  | 60   | nan             |
| No log        | 0.2   | 70   | nan             |
| No log        | 0.23  | 80   | nan             |
| No log        | 0.25  | 90   | nan             |
| 0.9839        | 0.28  | 100  | nan             |
| 0.9839        | 0.31  | 110  | nan             |
| 0.9839        | 0.34  | 120  | nan             |
| 0.9839        | 0.37  | 130  | nan             |
| 0.9839        | 0.4   | 140  | nan             |
| 0.9839        | 0.42  | 150  | nan             |
| 0.9839        | 0.45  | 160  | nan             |
| 0.9839        | 0.48  | 170  | nan             |
| 0.9839        | 0.51  | 180  | nan             |
| 0.9839        | 0.54  | 190  | nan             |
| 0.0           | 0.56  | 200  | nan             |
| 0.0           | 0.59  | 210  | nan             |
| 0.0           | 0.62  | 220  | nan             |
| 0.0           | 0.65  | 230  | nan             |
| 0.0           | 0.68  | 240  | nan             |
| 0.0           | 0.71  | 250  | nan             |
| 0.0           | 0.73  | 260  | nan             |
| 0.0           | 0.76  | 270  | nan             |
| 0.0           | 0.79  | 280  | nan             |
| 0.0           | 0.82  | 290  | nan             |
| 0.0           | 0.85  | 300  | nan             |
| 0.0           | 0.88  | 310  | nan             |
| 0.0           | 0.9   | 320  | nan             |
| 0.0           | 0.93  | 330  | nan             |
| 0.0           | 0.96  | 340  | nan             |
| 0.0           | 0.99  | 350  | nan             |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.11.0+cu113
- Datasets 2.9.0
- Tokenizers 0.13.2

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

output
======


This model is a fine-tuned version of EleutherAI/gpt-j-6B on the None dataset.
It achieves the following results on the evaluation set:


* Loss: nan


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: 0.001
* train\_batch\_size: 14
* eval\_batch\_size: 14
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1


### Training results



### Framework versions


* Transformers 4.26.0
* Pytorch 1.11.0+cu113
* Datasets 2.9.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.001
* train\_batch\_size: 14
* eval\_batch\_size: 14
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1 ### Training results ### Framework versions


* Transformers 4.26.0
* Pytorch 1.11.0+cu113
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #gptj #text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.001
* train\_batch\_size: 14
* eval\_batch\_size: 14
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1 ### Training results ### Framework versions


* Transformers 4.26.0
* Pytorch 1.11.0+cu113
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #gptj #text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.001
* train\_batch\_size: 14
* eval\_batch\_size: 14
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 1### Training results### Framework versions


* Transformers 4.26.0
* Pytorch 1.11.0+cu113
* Datasets 2.9.0
* Tokenizers 0.13.2