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# distilgpt_new_0040

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.9767
- Validation Loss: 2.8643
- Epoch: 39

## 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 |
|:----------:|:---------------:|:-----:|
| 5.6632     | 4.5153          | 0     |
| 4.4292     | 4.0923          | 1     |
| 4.1169     | 3.8723          | 2     |
| 3.9326     | 3.7260          | 3     |
| 3.8026     | 3.6281          | 4     |
| 3.7045     | 3.5355          | 5     |
| 3.6254     | 3.4645          | 6     |
| 3.5604     | 3.4093          | 7     |
| 3.5048     | 3.3587          | 8     |
| 3.4569     | 3.3136          | 9     |
| 3.4155     | 3.2778          | 10    |
| 3.3791     | 3.2443          | 11    |
| 3.3470     | 3.2157          | 12    |
| 3.3183     | 3.1854          | 13    |
| 3.2922     | 3.1642          | 14    |
| 3.2685     | 3.1400          | 15    |
| 3.2467     | 3.1193          | 16    |
| 3.2267     | 3.1009          | 17    |
| 3.2078     | 3.0838          | 18    |
| 3.1904     | 3.0689          | 19    |
| 3.1739     | 3.0520          | 20    |
| 3.1584     | 3.0379          | 21    |
| 3.1438     | 3.0255          | 22    |
| 3.1300     | 3.0116          | 23    |
| 3.1168     | 2.9965          | 24    |
| 3.1044     | 2.9866          | 25    |
| 3.0925     | 2.9752          | 26    |
| 3.0812     | 2.9631          | 27    |
| 3.0704     | 2.9539          | 28    |
| 3.0601     | 2.9458          | 29    |
| 3.0502     | 2.9340          | 30    |
| 3.0408     | 2.9251          | 31    |
| 3.0317     | 2.9179          | 32    |
| 3.0230     | 2.9082          | 33    |
| 3.0147     | 2.9002          | 34    |
| 3.0065     | 2.8948          | 35    |
| 2.9987     | 2.8855          | 36    |
| 2.9911     | 2.8779          | 37    |
| 2.9838     | 2.8706          | 38    |
| 2.9767     | 2.8643          | 39    |


### Framework versions

- Transformers 4.20.1
- TensorFlow 2.8.2
- Datasets 2.3.2
- Tokenizers 0.12.1

{"tags": ["generated_from_keras_callback"], "model-index": [{"name": "distilgpt_new_0040", "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\_new\_0040
====================


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


* Train Loss: 2.9767
* Validation Loss: 2.8643
* Epoch: 39


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 2.3.2
* 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 2.3.2
* 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 2.3.2
* Tokenizers 0.12.1
passage: 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 2.3.2
* Tokenizers 0.12.1