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# dccuchile-distilbert-base-spanish-uncased-finetuned-with-spanish-tweets-clf-cleaned-ds

This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased](https://huggingface.co/dccuchile/distilbert-base-spanish-uncased) on the dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6605
- Accuracy: 0.6503
- F1: 0.6519
- Precision: 0.6625
- Recall: 0.6498

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.8558        | 1.0   | 543  | 0.7705          | 0.6628   | 0.6408 | 0.6585    | 0.6404 |
| 0.5485        | 2.0   | 1086 | 0.8657          | 0.6593   | 0.6436 | 0.6578    | 0.6388 |
| 0.3071        | 3.0   | 1629 | 1.3021          | 0.6586   | 0.6556 | 0.6551    | 0.6581 |
| 0.1581        | 4.0   | 2172 | 1.6605          | 0.6503   | 0.6519 | 0.6625    | 0.6498 |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1
- Datasets 2.8.0
- Tokenizers 0.13.2

{"tags": ["generated_from_trainer"], "datasets": ["dataset"], "metrics": ["accuracy", "f1", "precision", "recall"], "model-index": [{"name": "dccuchile-distilbert-base-spanish-uncased-finetuned-with-spanish-tweets-clf-cleaned-ds", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "dataset", "type": "dataset", "config": "60-20-20", "split": "dev", "args": "60-20-20"}, "metrics": [{"type": "accuracy", "value": 0.650310988251555, "name": "Accuracy"}, {"type": "f1", "value": 0.6518765643027159, "name": "F1"}, {"type": "precision", "value": 0.6625453481119005, "name": "Precision"}, {"type": "recall", "value": 0.6498098682990169, "name": "Recall"}]}]}]}
transformers pytorch distilbert text-classification generated_from_trainer dataset:dataset model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #distilbert #text-classification #generated_from_trainer #dataset-dataset #model-index #autotrain_compatible #endpoints_compatible #region-us 

dccuchile-distilbert-base-spanish-uncased-finetuned-with-spanish-tweets-clf-cleaned-ds
======================================================================================


This model is a fine-tuned version of dccuchile/distilbert-base-spanish-uncased on the dataset dataset.
It achieves the following results on the evaluation set:


* Loss: 1.6605
* Accuracy: 0.6503
* F1: 0.6519
* Precision: 0.6625
* Recall: 0.6498


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: 5e-05
* train\_batch\_size: 8
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 4.0


### Training results



### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1
* Datasets 2.8.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 8
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 4.0 ### Training results ### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1
* Datasets 2.8.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #distilbert #text-classification #generated_from_trainer #dataset-dataset #model-index #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 8
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 4.0 ### Training results ### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1
* Datasets 2.8.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #distilbert #text-classification #generated_from_trainer #dataset-dataset #model-index #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 8
* eval\_batch\_size: 32
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 4.0### Training results### Framework versions


* Transformers 4.26.0
* Pytorch 1.13.1
* Datasets 2.8.0
* Tokenizers 0.13.2