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# petro-twitter-assistant-30ep-large

This model is a fine-tuned version of [flax-community/gpt-2-spanish](https://huggingface.co/flax-community/gpt-2-spanish) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3050

## 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: 0.0001
- train_batch_size: 22
- eval_batch_size: 22
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 44
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.4824        | 0.73  | 1000  | 3.3659          |
| 3.2393        | 1.46  | 2000  | 3.2667          |
| 3.113         | 2.19  | 3000  | 3.2174          |
| 3.0121        | 2.92  | 4000  | 3.1767          |
| 2.9076        | 3.65  | 5000  | 3.1619          |
| 2.8358        | 4.38  | 6000  | 3.1665          |
| 2.7708        | 5.11  | 7000  | 3.1874          |
| 2.6846        | 5.84  | 8000  | 3.1695          |
| 2.6092        | 6.57  | 9000  | 3.2114          |
| 2.5487        | 7.3   | 10000 | 3.2517          |
| 2.4942        | 8.04  | 11000 | 3.3050          |


### Framework versions

- Transformers 4.20.1
- Pytorch 1.12.0
- Datasets 2.1.0
- Tokenizers 0.12.1

{"language": ["es"], "tags": ["generated_from_trainer"], "datasets": ["jhonparra18/petrogustavo-tweets"], "widget": [{"text": "Nuestro gobierno es"}, {"text": "El pacto de la picota es"}], "model-index": [{"name": "petro-twitter-assistant-30ep-large", "results": []}]}
transformers pytorch gpt2 text-generation generated_from_trainer es dataset:jhonparra18/petrogustavo-tweets autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #es #dataset-jhonparra18/petrogustavo-tweets #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 

petro-twitter-assistant-30ep-large
==================================


This model is a fine-tuned version of flax-community/gpt-2-spanish on an unknown dataset.
It achieves the following results on the evaluation set:


* Loss: 3.3050


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: 0.0001
* train\_batch\_size: 22
* eval\_batch\_size: 22
* seed: 42
* gradient\_accumulation\_steps: 2
* total\_train\_batch\_size: 44
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: cosine
* lr\_scheduler\_warmup\_steps: 100
* num\_epochs: 30
* mixed\_precision\_training: Native AMP


### Training results



### Framework versions


* Transformers 4.20.1
* Pytorch 1.12.0
* Datasets 2.1.0
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* train\_batch\_size: 22
* eval\_batch\_size: 22
* seed: 42
* gradient\_accumulation\_steps: 2
* total\_train\_batch\_size: 44
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: cosine
* lr\_scheduler\_warmup\_steps: 100
* num\_epochs: 30
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.20.1
* Pytorch 1.12.0
* Datasets 2.1.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #es #dataset-jhonparra18/petrogustavo-tweets #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* train\_batch\_size: 22
* eval\_batch\_size: 22
* seed: 42
* gradient\_accumulation\_steps: 2
* total\_train\_batch\_size: 44
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: cosine
* lr\_scheduler\_warmup\_steps: 100
* num\_epochs: 30
* mixed\_precision\_training: Native AMP ### Training results ### Framework versions


* Transformers 4.20.1
* Pytorch 1.12.0
* Datasets 2.1.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #es #dataset-jhonparra18/petrogustavo-tweets #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 0.0001
* train\_batch\_size: 22
* eval\_batch\_size: 22
* seed: 42
* gradient\_accumulation\_steps: 2
* total\_train\_batch\_size: 44
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: cosine
* lr\_scheduler\_warmup\_steps: 100
* num\_epochs: 30
* mixed\_precision\_training: Native AMP### Training results### Framework versions


* Transformers 4.20.1
* Pytorch 1.12.0
* Datasets 2.1.0
* Tokenizers 0.12.1