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# electricidad-base-finetuned-go_emotions-es

This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the [go_emotions-es-mt](https://huggingface.co/datasets/mrm8488/go_emotions-es-mt) dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5111
- Accuracy: 0.5934
- F1: 0.5806

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 1.729         | 1.0   | 2270  | 1.5835          | 0.5578   | 0.5044 |
| 1.4432        | 2.0   | 4540  | 1.4529          | 0.5842   | 0.5538 |
| 1.2688        | 3.0   | 6810  | 1.4445          | 0.5945   | 0.5770 |
| 1.1017        | 4.0   | 9080  | 1.4804          | 0.5937   | 0.5781 |
| 0.9999        | 5.0   | 11350 | 1.5111          | 0.5934   | 0.5806 |


### Framework versions

- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1

{"tags": ["generated_from_trainer"], "datasets": ["go_emotions-es-mt"], "metrics": ["accuracy", "f1"], "widget": [{"text": "Me gusta mucho su forma de ser"}, {"text": "Es una persona muy extra\u00f1a..."}, {"text": "El dolor es desesperante"}, {"text": "No me esperaba una evoluci\u00f3n tan positiva"}, {"text": "\u00a1Dios m\u00edo, es enorme!"}, {"text": "\u00a1Agg! Est\u00e1 asqueroso."}], "model-index": [{"name": "electricidad-base-finetuned-go_emotions-es", "results": [{"task": {"type": "text-classification", "name": "Text Classification"}, "dataset": {"name": "go_emotions-es-mt", "type": "go_emotions-es-mt", "config": "simplified", "split": "train", "args": "simplified"}, "metrics": [{"type": "accuracy", "value": 0.5934476693051891, "name": "Accuracy"}, {"type": "f1", "value": 0.5806237685841615, "name": "F1"}]}]}]}
transformers pytorch tensorboard safetensors electra text-classification generated_from_trainer dataset:go_emotions-es-mt model-index autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #safetensors #electra #text-classification #generated_from_trainer #dataset-go_emotions-es-mt #model-index #autotrain_compatible #endpoints_compatible #region-us 

electricidad-base-finetuned-go\_emotions-es
===========================================


This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the go\_emotions-es-mt dataset.
It achieves the following results on the evaluation set:


* Loss: 1.5111
* Accuracy: 0.5934
* F1: 0.5806


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: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5


### Training results



### Framework versions


* Transformers 4.21.2
* Pytorch 1.12.1+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5 ### Training results ### Framework versions


* Transformers 4.21.2
* Pytorch 1.12.1+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #tensorboard #safetensors #electra #text-classification #generated_from_trainer #dataset-go_emotions-es-mt #model-index #autotrain_compatible #endpoints_compatible #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5 ### Training results ### Framework versions


* Transformers 4.21.2
* Pytorch 1.12.1+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1
passage: TAGS
#transformers #pytorch #tensorboard #safetensors #electra #text-classification #generated_from_trainer #dataset-go_emotions-es-mt #model-index #autotrain_compatible #endpoints_compatible #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 16
* eval\_batch\_size: 64
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 5### Training results### Framework versions


* Transformers 4.21.2
* Pytorch 1.12.1+cu113
* Datasets 2.4.0
* Tokenizers 0.12.1