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# ES_corlec_DeepESP-gpt2-spanish

This model is a fine-tuned version of [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0360

## 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: 1e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.2471        | 0.4   | 2000  | 4.2111          |
| 4.1503        | 0.79  | 4000  | 4.1438          |
| 4.0749        | 1.19  | 6000  | 4.1077          |
| 4.024         | 1.59  | 8000  | 4.0857          |
| 3.9855        | 1.98  | 10000 | 4.0707          |
| 3.9465        | 2.38  | 12000 | 4.0605          |
| 3.9277        | 2.78  | 14000 | 4.0533          |
| 3.9159        | 3.17  | 16000 | 4.0482          |
| 3.8918        | 3.57  | 18000 | 4.0448          |
| 3.8789        | 3.97  | 20000 | 4.0421          |
| 3.8589        | 4.36  | 22000 | 4.0402          |
| 3.8554        | 4.76  | 24000 | 4.0387          |
| 3.8509        | 5.15  | 26000 | 4.0377          |
| 3.8389        | 5.55  | 28000 | 4.0370          |
| 3.8288        | 5.95  | 30000 | 4.0365          |
| 3.8293        | 6.34  | 32000 | 4.0362          |
| 3.8202        | 6.74  | 34000 | 4.0360          |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.1+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1

{"license": "mit", "tags": ["generated_from_trainer"], "model-index": [{"name": "ES_corlec_DeepESP-gpt2-spanish", "results": []}]}
transformers pytorch gpt2 text-generation generated_from_trainer license:mit autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

ES\_corlec\_DeepESP-gpt2-spanish
================================


This model is a fine-tuned version of DeepESP/gpt2-spanish on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 4.0360


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: 1e-06
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 200
* num\_epochs: 7


### Training results



### Framework versions


* Transformers 4.18.0
* Pytorch 1.10.1+cu102
* Datasets 2.3.2
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-06
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 200
* num\_epochs: 7 ### Training results ### Framework versions


* Transformers 4.18.0
* Pytorch 1.10.1+cu102
* Datasets 2.3.2
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-06
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 200
* num\_epochs: 7 ### Training results ### Framework versions


* Transformers 4.18.0
* Pytorch 1.10.1+cu102
* Datasets 2.3.2
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #gpt2 #text-generation #generated_from_trainer #license-mit #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 1e-06
* train\_batch\_size: 16
* eval\_batch\_size: 16
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* lr\_scheduler\_warmup\_steps: 200
* num\_epochs: 7### Training results### Framework versions


* Transformers 4.18.0
* Pytorch 1.10.1+cu102
* Datasets 2.3.2
* Tokenizers 0.12.1