
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# distilgpt_new5_0030

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.4683
- Validation Loss: 2.3476
- Epoch: 29

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 2.4839     | 2.3639          | 0     |
| 2.4833     | 2.3630          | 1     |
| 2.4827     | 2.3620          | 2     |
| 2.4821     | 2.3632          | 3     |
| 2.4816     | 2.3617          | 4     |
| 2.4811     | 2.3614          | 5     |
| 2.4805     | 2.3613          | 6     |
| 2.4799     | 2.3613          | 7     |
| 2.4794     | 2.3600          | 8     |
| 2.4788     | 2.3589          | 9     |
| 2.4784     | 2.3582          | 10    |
| 2.4779     | 2.3563          | 11    |
| 2.4774     | 2.3579          | 12    |
| 2.4768     | 2.3563          | 13    |
| 2.4762     | 2.3561          | 14    |
| 2.4756     | 2.3554          | 15    |
| 2.4751     | 2.3539          | 16    |
| 2.4746     | 2.3550          | 17    |
| 2.4741     | 2.3534          | 18    |
| 2.4736     | 2.3530          | 19    |
| 2.4731     | 2.3522          | 20    |
| 2.4725     | 2.3522          | 21    |
| 2.4719     | 2.3525          | 22    |
| 2.4714     | 2.3519          | 23    |
| 2.4709     | 2.3505          | 24    |
| 2.4705     | 2.3489          | 25    |
| 2.4699     | 2.3488          | 26    |
| 2.4694     | 2.3498          | 27    |
| 2.4689     | 2.3472          | 28    |
| 2.4683     | 2.3476          | 29    |


### Framework versions

- Transformers 4.20.1
- TensorFlow 2.8.2
- Datasets 2.4.0
- Tokenizers 0.12.1

{"tags": ["generated_from_keras_callback"], "model-index": [{"name": "distilgpt_new5_0030", "results": []}]}
transformers tf gpt2 text-generation generated_from_keras_callback autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #tf #gpt2 #text-generation #generated_from_keras_callback #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

distilgpt\_new5\_0030
=====================


This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:


* Train Loss: 2.4683
* Validation Loss: 2.3476
* Epoch: 29


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:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': 2e-05, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: float32


### Training results



### Framework versions


* Transformers 4.20.1
* TensorFlow 2.8.2
* Datasets 2.4.0
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': 2e-05, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.20.1
* TensorFlow 2.8.2
* Datasets 2.4.0
* Tokenizers 0.12.1
TAGS
#transformers #tf #gpt2 #text-generation #generated_from_keras_callback #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': 2e-05, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: float32 ### Training results ### Framework versions


* Transformers 4.20.1
* TensorFlow 2.8.2
* Datasets 2.4.0
* Tokenizers 0.12.1
TAGS
#transformers #tf #gpt2 #text-generation #generated_from_keras_callback #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': 2e-05, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: float32### Training results### Framework versions


* Transformers 4.20.1
* TensorFlow 2.8.2
* Datasets 2.4.0
* Tokenizers 0.12.1