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# ghdi/punic-model

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 3.9858
- Validation Loss: 7.6193
- Epoch: 59

## 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': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': -984, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 10.9100    | 10.8188         | 0     |
| 10.7129    | 10.4690         | 1     |
| 10.3775    | 10.1048         | 2     |
| 10.0587    | 9.8271          | 3     |
| 9.8034     | 9.6395          | 4     |
| 9.6209     | 9.5085          | 5     |
| 9.5047     | 9.4043          | 6     |
| 9.3724     | 9.3072          | 7     |
| 9.2873     | 9.2090          | 8     |
| 9.1690     | 9.1091          | 9     |
| 8.9963     | 9.0013          | 10    |
| 8.8724     | 8.8875          | 11    |
| 8.7316     | 8.7701          | 12    |
| 8.6070     | 8.6477          | 13    |
| 8.4242     | 8.5243          | 14    |
| 8.2700     | 8.4018          | 15    |
| 8.1555     | 8.2834          | 16    |
| 7.9978     | 8.1696          | 17    |
| 7.8495     | 8.0607          | 18    |
| 7.6980     | 7.9635          | 19    |
| 7.5339     | 7.8726          | 20    |
| 7.4741     | 7.7917          | 21    |
| 7.3669     | 7.7233          | 22    |
| 7.2598     | 7.6604          | 23    |
| 7.1434     | 7.6088          | 24    |
| 7.0434     | 7.5579          | 25    |
| 6.9874     | 7.5171          | 26    |
| 6.8629     | 7.4881          | 27    |
| 6.8293     | 7.4694          | 28    |
| 6.6349     | 7.4367          | 29    |
| 6.7589     | 7.4071          | 30    |
| 6.5890     | 7.4003          | 31    |
| 6.5476     | 7.3576          | 32    |
| 6.4606     | 7.3400          | 33    |
| 6.3945     | 7.3327          | 34    |
| 6.2495     | 7.3435          | 35    |
| 6.0722     | 7.3375          | 36    |
| 6.1324     | 7.3365          | 37    |
| 6.0493     | 7.3458          | 38    |
| 5.9514     | 7.4002          | 39    |
| 5.8638     | 7.3356          | 40    |
| 5.7390     | 7.3488          | 41    |
| 5.6403     | 7.3687          | 42    |
| 5.5442     | 7.3831          | 43    |
| 5.4542     | 7.3888          | 44    |
| 5.3243     | 7.4340          | 45    |
| 5.2295     | 7.4170          | 46    |
| 5.1436     | 7.4110          | 47    |
| 5.0199     | 7.5223          | 48    |
| 4.9058     | 7.5142          | 49    |
| 4.8393     | 7.4926          | 50    |
| 4.7104     | 7.5253          | 51    |
| 4.6212     | 7.5420          | 52    |
| 4.5298     | 7.5799          | 53    |
| 4.4251     | 7.5940          | 54    |
| 4.3130     | 7.5752          | 55    |
| 4.2240     | 7.6315          | 56    |
| 4.1587     | 7.6412          | 57    |
| 4.0442     | 7.6748          | 58    |
| 3.9858     | 7.6193          | 59    |


### Framework versions

- Transformers 4.28.1
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.3

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

ghdi/punic-model
================


This model is a fine-tuned version of gpt2 on an unknown dataset.
It achieves the following results on the evaluation set:


* Train Loss: 3.9858
* Validation Loss: 7.6193
* Epoch: 59


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': {'class\_name': 'WarmUp', 'config': {'initial\_learning\_rate': 5e-05, 'decay\_schedule\_fn': {'class\_name': 'PolynomialDecay', 'config': {'initial\_learning\_rate': 5e-05, 'decay\_steps': -984, 'end\_learning\_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '**passive\_serialization**': True}, 'warmup\_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: mixed\_float16


### Training results



### Framework versions


* Transformers 4.28.1
* TensorFlow 2.12.0
* Datasets 2.11.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': {'class\_name': 'WarmUp', 'config': {'initial\_learning\_rate': 5e-05, 'decay\_schedule\_fn': {'class\_name': 'PolynomialDecay', 'config': {'initial\_learning\_rate': 5e-05, 'decay\_steps': -984, 'end\_learning\_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '**passive\_serialization**': True}, 'warmup\_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: mixed\_float16 ### Training results ### Framework versions


* Transformers 4.28.1
* TensorFlow 2.12.0
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #tf #gpt2 #text-generation #generated_from_keras_callback #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': {'class\_name': 'WarmUp', 'config': {'initial\_learning\_rate': 5e-05, 'decay\_schedule\_fn': {'class\_name': 'PolynomialDecay', 'config': {'initial\_learning\_rate': 5e-05, 'decay\_steps': -984, 'end\_learning\_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '**passive\_serialization**': True}, 'warmup\_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: mixed\_float16 ### Training results ### Framework versions


* Transformers 4.28.1
* TensorFlow 2.12.0
* Datasets 2.11.0
* Tokenizers 0.13.3
TAGS
#transformers #tf #gpt2 #text-generation #generated_from_keras_callback #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* optimizer: {'name': 'AdamWeightDecay', 'learning\_rate': {'class\_name': 'WarmUp', 'config': {'initial\_learning\_rate': 5e-05, 'decay\_schedule\_fn': {'class\_name': 'PolynomialDecay', 'config': {'initial\_learning\_rate': 5e-05, 'decay\_steps': -984, 'end\_learning\_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '**passive\_serialization**': True}, 'warmup\_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta\_1': 0.9, 'beta\_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight\_decay\_rate': 0.01}
* training\_precision: mixed\_float16### Training results### Framework versions


* Transformers 4.28.1
* TensorFlow 2.12.0
* Datasets 2.11.0
* Tokenizers 0.13.3