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# distilgpt_new2_0040

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.5812
- Validation Loss: 2.4689
- 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 |
|:----------:|:---------------:|:-----:|
| 2.6241     | 2.5129          | 0     |
| 2.6228     | 2.5112          | 1     |
| 2.6216     | 2.5105          | 2     |
| 2.6204     | 2.5101          | 3     |
| 2.6191     | 2.5088          | 4     |
| 2.6180     | 2.5064          | 5     |
| 2.6166     | 2.5045          | 6     |
| 2.6155     | 2.5038          | 7     |
| 2.6143     | 2.5024          | 8     |
| 2.6132     | 2.5009          | 9     |
| 2.6120     | 2.5014          | 10    |
| 2.6108     | 2.4984          | 11    |
| 2.6097     | 2.4983          | 12    |
| 2.6085     | 2.4976          | 13    |
| 2.6073     | 2.4948          | 14    |
| 2.6064     | 2.4945          | 15    |
| 2.6052     | 2.4939          | 16    |
| 2.6039     | 2.4925          | 17    |
| 2.6030     | 2.4912          | 18    |
| 2.6019     | 2.4890          | 19    |
| 2.6007     | 2.4889          | 20    |
| 2.5998     | 2.4872          | 21    |
| 2.5987     | 2.4865          | 22    |
| 2.5977     | 2.4859          | 23    |
| 2.5965     | 2.4844          | 24    |
| 2.5956     | 2.4834          | 25    |
| 2.5944     | 2.4821          | 26    |
| 2.5934     | 2.4805          | 27    |
| 2.5925     | 2.4790          | 28    |
| 2.5914     | 2.4798          | 29    |
| 2.5904     | 2.4777          | 30    |
| 2.5893     | 2.4781          | 31    |
| 2.5883     | 2.4755          | 32    |
| 2.5872     | 2.4763          | 33    |
| 2.5862     | 2.4743          | 34    |
| 2.5851     | 2.4736          | 35    |
| 2.5841     | 2.4732          | 36    |
| 2.5831     | 2.4726          | 37    |
| 2.5822     | 2.4691          | 38    |
| 2.5812     | 2.4689          | 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_new2_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\_new2\_0040
=====================


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


* Train Loss: 2.5812
* Validation Loss: 2.4689
* 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